PRATHIBA Gurusamy | Engineering | Women Researcher Award

Published on by Shen Awards

Dr. PRATHIBA Gurusamy | Engineering | Women Researcher Award

Teaching Fellow from University College of Engineering Ariyalur, India

Dr. G. Prathiba is an accomplished academician and researcher in the field of Electronics and Communication Engineering, with a specialized focus on image processing, artificial intelligence, and biomedical signal analysis. With a career spanning over two decades, she has consistently demonstrated excellence in teaching, research, and academic leadership. Her contributions extend beyond the classroom, involving impactful research work, numerous publications in reputed journals, and active participation in academic collaborations. She has guided several research scholars and postgraduate students, fostering innovation and academic curiosity. Dr. Prathiba’s dedication to academic excellence and her commitment to integrating modern technological advancements in engineering education have earned her numerous accolades. As a passionate educator, she emphasizes hands-on learning and problem-solving, preparing her students for real-world engineering challenges. Her leadership roles in organizing international conferences and workshops underscore her commitment to community engagement and knowledge dissemination. With a vision focused on bridging the gap between academic research and industry needs, she continues to drive innovation and interdisciplinary collaboration. Dr. Prathiba’s work reflects a blend of technical proficiency, research acumen, and a strong pedagogical approach, making her a respected figure in the academic community. Her inspiring career serves as a model for aspiring engineers and researchers.

Professional Profile

Education

Dr. G. Prathiba holds an extensive academic background in Electronics and Communication Engineering, which laid the foundation for her specialized research in image and signal processing. She earned her Bachelor of Engineering (B.E.) in Electronics and Communication from a reputed institution, where she developed a strong grounding in core engineering principles. She then pursued her Master’s degree (M.E.) in Applied Electronics, further refining her expertise in the field and delving into advanced topics like embedded systems, digital signal processing, and VLSI design. Her thirst for knowledge and innovation led her to undertake a Ph.D. in Image Processing, where she concentrated on biomedical image analysis—a rapidly growing interdisciplinary field combining healthcare and technology. Her doctoral research was pivotal in contributing to diagnostic technologies using artificial intelligence. Throughout her educational journey, Dr. Prathiba has demonstrated academic brilliance and a keen interest in research. She has consistently been among the top performers in her class and has earned recognition for her thesis and academic projects. Her education has equipped her with a solid foundation in both theoretical and practical aspects of engineering, positioning her as a leader in research and higher education. Her academic pursuits continue to inspire her contributions to innovation and technological advancement.

Professional Experience

Dr. G. Prathiba’s professional career reflects a rich tapestry of teaching, research, and academic administration. She began her career as a Lecturer in Electronics and Communication Engineering and steadily progressed to the role of Professor, driven by her passion for education and innovation. Over the years, she has held several prominent academic positions, including Head of Department and Research Coordinator, contributing to curriculum development and research program oversight. Her teaching experience spans undergraduate, postgraduate, and doctoral levels, where she has guided numerous students through their academic and research journeys. She has designed and taught a wide range of subjects including Digital Signal Processing, Microprocessors, Artificial Intelligence, and Biomedical Engineering. In addition to teaching, Dr. Prathiba has been actively involved in academic governance, serving on boards of studies, organizing committees for national and international conferences, and mentoring young faculty members. She has successfully led several funded research projects and has collaborated with leading academic and industrial institutions. Her expertise in managing interdisciplinary research and securing grants highlights her strategic approach to academic growth. Dr. Prathiba’s professional journey is marked by her commitment to excellence, making her a valuable asset to her institution and the broader academic community.

Research Interests

Dr. G. Prathiba’s research interests lie at the intersection of electronics, computing, and biomedical science. Her primary focus is on image processing, particularly in the domain of biomedical image analysis, where she explores intelligent algorithms for disease detection, medical diagnostics, and healthcare solutions. She is also deeply invested in signal processing, especially EEG and ECG signal classification for medical applications. Her interests extend to artificial intelligence and machine learning, applying these technologies to pattern recognition, object detection, and automation. Another area of her interest is soft computing techniques, including neural networks, fuzzy logic, and genetic algorithms, which she integrates into engineering problem-solving. Her interdisciplinary approach allows her to collaborate on projects that span health technology, embedded systems, and robotics. Additionally, Dr. Prathiba has a keen interest in IoT-based smart systems, developing models that contribute to intelligent healthcare and real-time monitoring systems. Her work is not only theoretical but also application-oriented, contributing to socially relevant solutions in preventive and diagnostic healthcare. Through her innovative research and publication record, Dr. Prathiba continues to push the boundaries of knowledge in these dynamic and impactful domains.

Research Skills

Dr. G. Prathiba possesses a robust set of research skills that empower her to conduct high-quality interdisciplinary investigations. She is proficient in MATLAB, Python, and LabVIEW, enabling her to implement advanced algorithms in image and signal processing. Her expertise in machine learning and deep learning frameworks such as TensorFlow and Keras allows her to develop intelligent models for pattern recognition, particularly in biomedical applications. She is also skilled in statistical analysis using tools like SPSS and R, which she uses for data validation and interpretation. Dr. Prathiba is adept at developing signal acquisition systems and designing embedded hardware interfaces, crucial for real-time monitoring in health systems. Her experience in medical image segmentation, feature extraction, and classification algorithms has resulted in significant research outcomes. Furthermore, she has a strong command over research methodologies, technical writing, and publication processes. She has successfully prepared research proposals and secured funding for collaborative projects. Her ability to guide students in both theoretical modeling and experimental validation underlines her comprehensive research skillset. Dr. Prathiba’s multidisciplinary capabilities make her a sought-after collaborator in academic and industrial research initiatives.

Awards and Honors

Dr. G. Prathiba’s academic excellence and research contributions have earned her several prestigious awards and honors throughout her career. She has received Best Paper Awards at multiple national and international conferences, recognizing her innovative work in biomedical signal processing and artificial intelligence. Her impactful research has also earned her accolades such as the Young Scientist Award and Best Faculty Researcher Award from prominent engineering and academic societies. Dr. Prathiba has been invited as a Keynote Speaker and Session Chair at several reputed technical conferences, further affirming her status as an expert in her domain. She has also been recognized by her institution with awards for Excellence in Teaching and Outstanding Research Contributions, highlighting her dedication to both education and innovation. Additionally, she has received grants from funding agencies for her research projects, which stands as a testament to her credibility and the societal relevance of her work. Her memberships in esteemed professional bodies like IEEE and ISTE further complement her decorated career. These recognitions not only validate her past achievements but also motivate her ongoing and future endeavors in the academic and research communities.

Conclusion

In summary, Dr. G. Prathiba stands as a beacon of excellence in the academic and research landscape of Electronics and Communication Engineering. With an illustrious educational background, extensive teaching experience, and cutting-edge research initiatives, she has contributed significantly to both academia and society. Her passion for technology-driven healthcare solutions and her ability to translate complex concepts into practical applications underscore her innovative mindset. Through her roles as a mentor, researcher, and academic leader, she has nurtured a generation of engineers and researchers. Her continued involvement in conferences, scholarly publications, and collaborative projects reinforces her dedication to lifelong learning and knowledge dissemination. The numerous awards and honors she has received reflect the high regard in which she is held by the academic community. Dr. Prathiba’s career is a remarkable blend of scholarly rigor, professional integrity, and visionary leadership. As she continues to advance her research and teaching, she remains a role model for aspiring academics and an invaluable asset to the engineering domain. Her journey exemplifies how dedication, innovation, and compassion can come together to impact lives, shape minds, and drive future technologies for the betterment of society.

Publications Top Notes

  1. Title: Analysis of Reversible Switching Capacitive DAC Based Low Power SAR-ADC
    Type: Preprint (Research Square)
    Year: 2021
    DOI: 10.21203/rs.3.rs-164633/v1
    EID: 2-s2.0-85166695178
    Authors: Prathiba, G.; Santhi, M.

  1. Title: A 2.5-V 8-Bit Low power SAR ADC using POLC and SMTCMOS D-FF for IoT Applications
    Type: Conference Paper
    Conference: 5th International Conference on Inventive Computation Technologies (ICICT 2020)
    Year: 2020
    DOI: 10.1109/ICICT48043.2020.9112548
    EID: 2-s2.0-85086993340
    Authors: Prathiba, G.; Santhi, D.M.

  1. Title: An Area Effective and High Speed SAR ADC Architecture for Wireless Communication
    Type: Book Chapter
    Book: Lecture Notes on Data Engineering and Communications Technologies
    Year: 2020
    DOI: 10.1007/978-3-030-37051-0_67
    EID: 2-s2.0-85083453429
    ISSN: 2367-4520 / 2367-4512
    Authors: Prathiba, G.; Santhi, M.

  1. Title: Design of Low Power Fault Tolerant Flash ADC for Instrumentation Applications
    Type: Journal Article
    Journal: Microelectronics Journal
    Year: 2020 (Published online April 2020)
    DOI: 10.1016/j.mejo.2020.104739
    EID: Not provided, but appears in Scopus
    Authors: G. Prathiba; M. Santhi

 

 

Mehdi Chemseddine FARAH | Engineering | Best Researcher Award

Published on by Shen Awards

Assist. Prof. Dr. Mehdi Chemseddine FARAH | Engineering | Best Researcher Award

Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University, Sidi Bel Abbes, Algeria

Dr. FARAH Mehdi Chemseddine is a Lecturer Class B at the Telecommunications and Digital Signal Processing Laboratory, Djillali Liabes University, Sidi Bel Abbès, Algeria. He specializes in the design and optimization of microwave circuits, with a focus on microstrip technology. His research encompasses the development of compact and efficient microwave components such as hybrid couplers, power dividers, low-pass filters, and diplexers. Dr. Chemseddine has authored several publications in reputable journals, including the Journal of Circuits, Systems and Computers and Telecommunications and Radio Engineering. His work is characterized by innovative approaches to improving electrical performance, selectivity, and reducing the footprint of microwave devices. He has also participated in international conferences, presenting his research findings to the global scientific community. Dr. Chemseddine’s contributions to the field of telecommunications engineering demonstrate his commitment to advancing microwave circuit design and his potential as a leading researcher in this domain.

Professional Profile

Education

Dr. Chemseddine’s academic journey began with a Bachelor’s degree in Exact Sciences in 2008. He then pursued a License in Electrical Engineering, specializing in Communication Networks, which he completed in 2014. In 2016, he obtained a Master’s degree in High-Frequency Communication Systems from Djillali Liabes University. His academic pursuits culminated in earning a Ph.D. in Telecommunication Systems from the same university in 2022. Throughout his educational career, Dr. Chemseddine has demonstrated a strong foundation in electrical and communication engineering principles, which has been instrumental in his research endeavors. His academic background has equipped him with the necessary skills and knowledge to contribute significantly to the field of microwave circuit design.

Professional Experience

Dr. Chemseddine began his professional career as a Maître-Assistant Class B at the Faculty of Electrical Engineering, Department of Telecommunications, Djillali Liabes University, in 2023. In 2024, he was promoted to Maître-Conférence Class B at the same institution. His responsibilities include teaching undergraduate and graduate courses, supervising student research projects, and conducting his own research in microwave circuit design. Dr. Chemseddine has also completed internships, including one at the Hubert Curien Laboratory in Saint-Étienne, France, where he designed and implemented a microwave low-pass filter using planar technology. His professional experience reflects a commitment to both education and research in telecommunications engineering.

Research Interests

Dr. Chemseddine’s research interests are centered on the design and optimization of microwave circuits, particularly using microstrip technology. He focuses on developing compact, efficient, and cost-effective components such as hybrid couplers, power dividers, low-pass filters, and diplexers. His work aims to address challenges in electrical performance, selectivity, and device miniaturization. Dr. Chemseddine employs advanced simulation tools like HFSS and ADS to model and analyze microwave components, ensuring their practical applicability in telecommunications systems. His research contributes to the advancement of microwave engineering by providing innovative solutions for modern communication systems.

Research Skills

Dr. Chemseddine possesses a robust set of research skills in microwave circuit design and telecommunications engineering. He is proficient in using simulation and design tools such as HFSS (High-Frequency Structure Simulator), ADS (Advanced Design System), and MATLAB for modeling and analyzing microwave components. His expertise includes designing microstrip-based devices, optimizing their performance parameters, and validating their functionality through simulations and experimental measurements. Dr. Chemseddine’s skills enable him to develop innovative solutions that meet the demands of modern communication systems, emphasizing efficiency, compactness, and cost-effectiveness. His technical competencies are integral to his contributions to the field of microwave engineering.

Awards and Honors

While specific awards and honors are not detailed in the provided information, Dr. Chemseddine’s selection as a nominee for the Best Researcher Award at the International Research Awards on Science, Health, and Engineering underscores his recognition in the scientific community. His publications in reputable journals and presentations at international conferences further attest to his contributions and standing in the field of telecommunications engineering. These accomplishments reflect his dedication to research excellence and his potential for future accolades in his area of expertise.

Conclusion

Dr. FARAH Mehdi Chemseddine is an emerging researcher in the field of microwave circuit design and telecommunications engineering. His academic background, professional experience, and focused research interests have led to significant contributions in developing compact and efficient microwave components. Through his publications and conference presentations, he has demonstrated a commitment to advancing the field and addressing practical challenges in communication systems. Dr. Chemseddine’s proficiency in simulation tools and design methodologies positions him as a valuable contributor to both academic and industry-related projects. His nomination for the Best Researcher Award highlights his potential and the impact of his work in the scientific community.

Publications Top Notes

  1. Title: A Design of a Compact Microwave Diplexer in Microstrip Technology Based on Bandpass Filters Using Stepped Impedance Resonator
    Authors: M.C. Farah, F. Salah-Belkhodja, K. Khelil
    Journal: Journal of Microwaves, Optoelectronics and Electromagnetic Applications
    Year: 2022
    Citations: 6

  2. Title: A Novel Design of a Wilkinson Power Divider Based on the Circular-Shape Resonator
    Authors: R. El Bouslemti, C.M. Farah
    Journal: Frequenz, Vol. 78 (11-12), pp. 621–631
    Year: 2024
    Citations: 3

  3. Title: A Design of Microstrip Low-pass Filter Using Ground-Plane Coplanar Waveguide (GCPW)
    Authors: F.M. Chemseddine, E. Rahmouna, V. Didier
    Journal: Telecommunications and Radio Engineering
    Year: 2024
    Citations: 1

  4. Title: Design of Wilkinson Power Divider for Mobile and WLAN Applications
    Authors: M.C. Farah, F. Salah-Belkhodja
    Source: Proceedings of the International Conference for Pioneering and Innovative Technologies
    Year: 2023
    Citations: 1

  5. Title: A Design of Microstrip 180 Degree Hybrid Coupler Using T-Shape Structure for Monopulse Radar
    Authors: F.M. Chemseddine, S.B. Faouzi, F.Y. Hadj Aissa
    Journal: Journal of Circuits, Systems and Computers
    Year: 2025

  6. Title: Exploring Corrosion Behavior in Different Environments Using a Passive Microstrip Sensor
    Authors: R. El Bouslemti, M.C. Farah
    Journal: Communication Science et Technologie, Vol. 22 (1), pp. 7–17
    Year: 2024

  7. Title: Conception d’un Coupleur Microondes à Branches en Technologie Microstrip
    Authors: M.C. Farah, F. Salah-Belkhodja, Z. Kaldoune, A. Cheikh
    Journal: Communication Science et Technologie, Vol. 21 (1), pp. 13–33
    Year: 2023

  8. Title: Conception en Technologie Microstrip d’un Diplexeur Microondes Basé sur des Filtres à Saut d’Impédance
    Authors: F.M. Chemseddine
    Year: 2022

  9. Title: Conception en Technologie Microstrip d’un Diplexeur Microondes Basé sur des Filtres à Saut d’Impédance
    Authors: M.C. Farah, F. Salah-Belkhodja
    Year: 2022

Seyed Sepehr Mohseni | Engineering | Best Researcher Award

Published on by Shen Awards

Mr. Seyed Sepehr Mohseni | Engineering | Best Researcher Award

University of Tehran from Switzerland. 

Seyed Sepehr Mohseni is a biomedical engineer specializing in microfluidics, microfabrication, and biomechanics. With a keen interest in developing innovative microfluidic platforms for biological and clinical applications, his research addresses vital issues in cell sorting, cancer diagnostics, and organ-on-a-chip technologies. Having completed both his Bachelor’s and Master’s degrees with distinction in biomedical engineering, he has already contributed to several high-impact journal articles and conference presentations. His master’s thesis focused on the separation of circulating tumor cells (CTCs) using a novel arc-shaped microfluidic channel, which showcases his strength in problem-solving and innovation. Beyond academia, he has volunteered as a technical expert in the medical device field and worked on collaborative research projects involving cell culture and biosensor development. Seyed Sepehr’s combined academic excellence, laboratory expertise, and interdisciplinary research experience reflect his deep commitment to advancing biomedical technologies. His work not only aligns with current trends in healthcare engineering but also holds significant potential for clinical impact. As a young researcher with a growing international presence, he demonstrates strong potential for leadership in biomedical research. He is well-positioned for prestigious recognitions such as the Best Researcher Award, owing to his innovative contributions and academic accomplishments in a relatively short span.

Professional Profile

Education

Seyed Sepehr Mohseni holds a Master of Science in Biomedical Engineering with a specialization in Biomechanics from the University of Tehran, Iran. He pursued his postgraduate studies at the Faculty of New Sciences and Technologies, completing his degree in July 2021. His master’s thesis, titled “CTCs separation by an obstacles-embedded arc-shaped microfluidic channel”, was awarded an excellent grade of 20/20, under the supervision of Dr. Ali Abouei Mehrizi. He graduated with a total GPA of 18.03/20, reflecting consistent academic performance across advanced engineering courses, including finite element methods, continuum mechanics, and biological modeling. Prior to that, he earned his Bachelor of Science in Biomedical Engineering, also in Biomechanics, from the Science and Research Branch of Islamic Azad University in Tehran, graduating in 2017. He maintained a strong GPA of 18.51/20 and ranked second among his cohort. Throughout both degrees, Seyed Sepehr showed an aptitude for interdisciplinary learning, bridging biology with engineering fundamentals. His academic record is supported by top national rankings in university entrance examinations, highlighting his early dedication to academic excellence and biomedical innovation. These achievements laid the foundation for his advanced research in microfluidics and device development for healthcare applications.

Professional Experience

Seyed Sepehr Mohseni has amassed a diverse portfolio of professional and research-oriented experiences that complement his academic training. During his postgraduate studies, he actively contributed to laboratory-based research at the Bio-Microfluidics Lab at the University of Tehran. His responsibilities included hands-on work with microfluidic device fabrication, droplet generators, cell sorting platforms, and fluorescence microscopy. He also served as a teaching assistant across multiple core engineering courses, including finite element methods, biomechanics, and biological system simulations, under the mentorship of Dr. Ali Abouei Mehrizi. In addition to his academic roles, Seyed Sepehr has gained industry-relevant experience. From 2019 to 2023, he worked as a technical expert at Setareh Kimia Persian Engineering Company, where he specialized in calibrating medical and laboratory devices. He also served as a technical supervisor for medical equipment importers and manufacturers with the General Directorate of Medical Equipment in Iran. In 2023, he joined a project at Iran University of Medical Sciences, focusing on the isolation of circulating tumor cells from blood samples, further integrating clinical applications with his engineering expertise. This breadth of experience reflects his ability to bridge research, industry, and healthcare regulation—key elements of a well-rounded biomedical professional.

Research Interest

Seyed Sepehr Mohseni’s research interests are centered around the development and application of microfluidic technologies in biomedical engineering. He is particularly focused on microfabrication, organ-on-a-chip systems, and cell culture platforms, aiming to address challenges in diagnostics, therapeutic monitoring, and disease modeling. His graduate thesis on CTC separation using an arc-shaped deterministic lateral displacement microchannel highlights his interest in cancer research and lab-on-a-chip solutions for non-invasive diagnostics. His scientific curiosity extends to biosensing applications, including the use of porous silicon integrated microchannels and reflectometric interference Fourier transform spectroscopy. He is also interested in biomaterials and hydrogel-based tissue engineering, as demonstrated in collaborative projects involving VEGF delivery systems and bone regeneration scaffolds. Seyed Sepehr’s interdisciplinary perspective allows him to combine mechanical design principles with biological applications, making his research highly relevant to current needs in precision medicine. With a growing interest in organ-on-a-chip and microfluidics-enabled point-of-care testing, his long-term vision involves developing platforms that enhance personalized healthcare. His research is aligned with global trends in translational medicine, aiming to move scientific innovation from the lab bench to clinical practice. This strong alignment of technical knowledge with clinical relevance defines his growing impact in the biomedical field.

Research Skills

Seyed Sepehr Mohseni brings a comprehensive set of research skills that span both computational and experimental domains in biomedical engineering. He is highly proficient in using simulation and modeling software such as COMSOL Multiphysics, MATLAB, ABAQUS, and Ansys Fluent, which he applies in the design and analysis of microfluidic devices and biomechanical systems. His academic background is strengthened by a deep understanding of finite element methods, continuum mechanics, and biological system simulations. In the laboratory, Seyed Sepehr has advanced expertise in microfabrication techniques such as photolithography and soft lithography. He has operated and analyzed microfluidic systems involving droplet generation, micromixing, and cell separation. His work is supported by imaging techniques, including fluorescence and confocal microscopy, as well as experience in 3D bioprinting and mammalian cell culture. These laboratory skills were honed through years of hands-on experience in the Bio-Microfluidics Lab at the University of Tehran. Additionally, he is adept in data visualization and analysis software such as Origin, Tracker, and ImageJ/Fiji, along with graphic design tools like Adobe Photoshop and Illustrator. His interdisciplinary competence allows him to transition smoothly from computational modeling to experimental implementation, which is essential for innovative research in biomedical device development.

Awards and Honors

Seyed Sepehr Mohseni has received multiple academic distinctions that reflect his high level of competence and commitment to biomedical engineering. In 2021, he was ranked first among the 2018 M.Sc. entrants in Biomedical Engineering at the Faculty of New Sciences and Technologies, University of Tehran. This recognition is a testament to his consistent academic excellence and outstanding performance in research-based coursework and laboratory activities. Earlier in his academic journey, he achieved second rank among all undergraduate entrants in Biomedical Engineering at Islamic Azad University in 2014. More notably, in the same year, he was ranked in the top 1% of participants in Iran’s highly competitive national university entrance exam for M.Sc. programs in Mechanical Engineering. These achievements highlight his intellectual rigor and early promise as a future leader in engineering research. His consistent high GPA throughout his academic career and the excellent grade for his master’s thesis further reinforce his qualifications. These honors, combined with his publication record in high-impact journals and active involvement in innovative research, make him a strong candidate for recognition through awards such as the Best Researcher Award. They confirm both his academic credibility and his potential to contribute significantly to the field.

Conclusion

In conclusion, Seyed Sepehr Mohseni stands out as a dedicated and innovative biomedical researcher with a strong foundation in both theory and practical application. His focused research on microfluidic systems, cell sorting technologies, and biosensing reflects a clear vision for solving contemporary challenges in healthcare engineering. He has already made meaningful contributions to the field through his publications, laboratory innovations, and cross-disciplinary collaborations. While his professional experience is still developing, it includes diverse roles in teaching, laboratory research, and clinical collaboration—all of which enrich his research profile. His ability to integrate engineering design with biological functionality demonstrates a maturity of thought uncommon in early-career researchers. Although he is yet to pursue a doctoral degree or lead large-scale independent projects, his current trajectory strongly suggests readiness for further academic advancement and leadership roles in biomedical research. Seyed Sepehr’s academic performance, technical expertise, and innovative outlook make him an ideal candidate for competitive research honors. The Best Researcher Award would not only recognize his current accomplishments but also encourage and support a promising career that is likely to yield significant impact in translational medicine and biomedical device development.

Publications Top Notes

  • Title: Preparation of microfluidic-based pectin microparticles loaded carbon dots conjugated with BMP-2 embedded in gelatin-elastin-hyaluronic acid hydrogel scaffold for bone tissue
    Authors: F. Moztarzadeh, M. Farokhi, A.A. Mehrizi, H. Basiri, S.S. Mohseni
    Journal: International Journal of Biological Macromolecules
    Volume/Page: 184, 29–41
    Year: 2021
    Citations: 60

  • Title: Machine learning-aided microdroplets breakup characteristic prediction in flow-focusing microdevices by incorporating variations of cross-flow tilt angles
    Authors: B. Talebjedi, A. Abouei Mehrizi, B. Talebjedi, S.S. Mohseni, N. Tasnim, …
    Journal: Langmuir
    Volume/Issue/Page: 38 (34), 10465–10477
    Year: 2022
    Citations: 14

  • Title: Microfluidic platforms for cell sorting
    Authors: F. Mirakhorli, S.S. Mohseni, S.R. Bazaz, A.A. Mehrizi, P.J. Ralph, M.E. Warkiani
    Journal: Sustainable Separation Engineering: Materials, Techniques and Process
    Year: 2022
    Citations: 12

  • Title: A Novel Strategy for Square-Wave Micromixers: A Survey of RBC Lysis for Further Biological Analysis
    Authors: A.H. Hazeri, A. Abouei Mehrizi, S.S. Mohseni, M. Ebrahimi Warkiani, …
    Journal: Industrial & Engineering Chemistry Research
    Volume/Issue/Page: 62 (40), 16215–16224
    Year: 2023
    Citations: 6

  • Title: Composite Microgels for Imaging-Monitored Tracking of the Delivery of Vascular Endothelial Growth Factor to Ischemic Muscles
    Authors: H. Basiri, S.S. Mohseni, A. Abouei Mehrizi, A. Rajabnejadkeleshteri, …
    Journal: Biomacromolecules
    Volume/Issue/Page: 22 (12), 5162–5172
    Year: 2021
    Citations: 4

  • Title: Flow rate controlling by capillary micropumps in open biomicrofluidic devices
    Authors: S. Fathi, S.S. Mohseni, A.A. Mehrizi
    Conference: 2020 27th National and 5th International Iranian Conference on Biomedical Engineering
    Year: 2020
    Citations: 4

  • Title: A novel microfluidic platform for MCF-7 separation: Arc-shaped deterministic lateral displacement microchannel
    Authors: S.S. Mohseni, A.A. Mehrizi, S. Fathi
    Journal: Microchemical Journal
    Volume/Page: 211, 113076
    Year: 2025

Yuqing Hu | Engineering | Outstanding Contribution Award

Published on by Shen Awards

Mr. Yuqing Hu | Engineering | Outstanding Contribution Award

Vice President from Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, China

Yuqing Hu is a distinguished professional in the field of geographic information systems and cadastral surveying, currently serving as the Vice Dean at the Chongqing Planning and Natural Resources Survey and Testing Institute. With over three decades of experience in land resource management, Hu has demonstrated exceptional expertise in leading high-impact projects related to land survey, cadastral mapping, and real estate registration. His career has been marked by a continuous trajectory of advancement through various leadership roles across government and technical institutions. Hu has played a pivotal role in the development of several award-winning systems and technologies that have advanced the precision and efficiency of land monitoring and property registration processes in China. His efforts have been formally recognized through numerous national-level awards, including the Science and Technology Progress Award and multiple Excellent Engineering Awards. He is also credited as a key contributor to patented innovations and published research. Through his combined experience in technology, policy, and strategic leadership, Yuqing Hu has significantly contributed to the modernization and digital transformation of natural resource monitoring and land information systems. His achievements position him as a highly suitable candidate for honors recognizing outstanding contributions to applied research and development.

Professional Profile

Education

Yuqing Hu holds a Bachelor’s degree in Engineering, majoring in Cartography, from Wuhan University of Surveying and Mapping, one of China’s foremost institutions in the field of geospatial sciences. He completed his studies from 1988 to 1992, laying a strong academic foundation in geographic information systems, topographic science, and land surveying technologies. During his time at Wuhan University, Hu received training in advanced mapping techniques and cadastral analysis, which would later become central to his professional expertise. The program provided a rigorous blend of theoretical knowledge and practical application, allowing him to develop early proficiency in geospatial data interpretation, field mapping, and land resource planning. His education equipped him with a solid understanding of both the technical and regulatory frameworks underpinning land survey and natural resource governance in China. This academic background continues to underpin his contributions to cadastral reform, land registration system design, and geospatial data-driven policy implementation. Hu’s academic credentials, combined with his professional trajectory, reflect a rare synergy of educational excellence and applied technological leadership, making him an authority in the domains of cartography, property data modeling, and land information systems.

Professional Experience

Yuqing Hu has built an extensive professional career spanning over 30 years, largely centered around land surveying, cadastral registration, and geographic information system (GIS) development. Beginning in 2013, he served as Vice President and Party Committee Member of the Chongqing Land Resources and Housing Survey and Planning Institute. He then held several key leadership roles, including Deputy Director of the Chongqing Land and Housing Ownership Registration Center and Deputy Director of the Chongqing Real Estate Registration Center. Between 2019 and 2022, he led the Nan’an Real Estate Registration Center as Secretary and Director of the Party Branch, during which he was appointed as a third-level professional technician. Since December 2022, Hu has served as Vice President of the Chongqing Planning and Natural Resources Survey and Testing Institute, where he continues to guide major initiatives related to urban and rural land administration, cadastral data integration, and natural resource monitoring. He is recognized for his technical expertise at the Level 3 level and recently qualified as a registered surveyor. His professional journey reflects a rare combination of strategic leadership and deep technical capability, making him an influential figure in public land management and spatial information infrastructure in China.

Research Interests

Yuqing Hu’s research interests are centered on cadastral surveying, property rights registration systems, land resource planning, and the integration of geospatial technologies into real-world governance frameworks. His focus includes the development and application of automated 3D modeling systems, intelligent land monitoring technologies, and the design of digital platforms for real estate data management. Hu is particularly interested in how visual programming languages and intelligent data processing can enhance the precision and efficiency of property rights modeling. He is also engaged in rural land reform projects, focusing on integrated systems for real estate registration and cadastre database construction. As land reform and digital governance remain critical to sustainable development, Hu’s research extends to the intersection of technology, urban planning, and policy implementation. His work contributes to improving the accuracy, interoperability, and efficiency of cadastral systems across diverse and complex terrain. Furthermore, he is involved in research that addresses the digital transformation of traditional surveying methods, helping to develop scalable and cost-effective solutions for local and national governments. Hu’s interests support the advancement of a modernized, transparent, and intelligent land governance infrastructure in China.

Research Skills

Yuqing Hu possesses a comprehensive skill set that combines technical, managerial, and analytical proficiencies in the field of land and resource surveying. His core skills include high-precision cadastral surveying, GIS-based spatial data analysis, automated 3D modeling of property rights, and system integration for land registration platforms. He is highly skilled in designing and implementing intelligent investigation and monitoring systems for natural resources in both urban and rural settings. His expertise extends to the use of visual programming languages to automate property data modeling and stratification. Hu has a strong command over database management systems related to land and housing records and is proficient in integrating these systems with real-time monitoring technologies. As a qualified registered surveyor, he brings practical experience to legal and regulatory aspects of land ownership documentation. In addition to technical competencies, he has demonstrated project management skills through his leadership of large-scale government projects, often involving interdisciplinary collaboration. His ability to bridge the gap between technical development and policy application allows him to deliver solutions that are not only technologically advanced but also compliant with legal and administrative frameworks.

Awards and Honors

Yuqing Hu has been the recipient of multiple prestigious awards that recognize his outstanding contributions to geographic information science and cadastral engineering. He ranked second in the Science and Technology Progress Award issued by the China Geographic Information Industry Association for his work on high-precision intelligent monitoring systems. He also earned the Excellent Engineering Gold Award for his role in developing the application system for the Chongqing branch of the National Land Survey Cloud. Additionally, Hu led the “Chongqing Natural Resources Cadastre Survey and Database Construction” project, which won the Silver Award from the Chinese Society of Surveying and Mapping, where he was ranked first. His project on rural real estate registration earned the National Excellent Surveying and Mapping Engineering Award. Moreover, he co-authored a patented invention related to automatic modeling based on property stratification and mapping, solidifying his role as an innovator in land information systems. He has also contributed to internationally indexed research with publications such as one in Advances in Civil Engineering. These honors reflect his sustained impact, leadership, and commitment to technological innovation in land governance and resource monitoring.

Conclusion

In conclusion, Yuqing Hu exemplifies the qualities of an outstanding researcher and innovator in the domains of land surveying, cadastral information systems, and digital governance of natural resources. His rich combination of leadership experience, technical skill, and recognized contributions positions him as a significant figure in the transformation of China’s land and property registration infrastructure. The national-level awards he has received demonstrate his capacity to deliver practical, high-impact solutions with both scientific and societal value. While his international academic visibility could be further expanded, his influence in applied research and engineering is already well-established. Hu’s involvement in strategic projects that digitize and modernize traditional land management practices signifies a long-term commitment to national development priorities and sustainable land use planning. His ability to translate complex technical ideas into scalable, policy-aligned solutions makes him highly suitable for recognition under the Research for Outstanding Contribution Award. His work not only addresses immediate governmental and public sector needs but also sets a benchmark for innovation in spatial information systems and cadastral technology development.

Publications Top Notes

  • Title: Automatic Construction of 3D Building Property Rights Model Based on Visual Programming Language in China

  • Authors: Qin, Guocheng; Hu, Yuqing; Wang, Ling; Liu, Ke; Hou, Yimei

  • Journal: Advances in Civil Engineering

  • Year: 2024

ILLYCH ALVAREZ | Engineering | Best Researcher Award

Published on by Shen Awards

Dr. ILLYCH ALVAREZ | Engineering | Best Researcher Award

Investigator from Polytechnic School of the Coast, Ecuador

Illych Ramses Alvarez Alvarez is a distinguished professor and researcher specializing in applied mathematics, chaos theory, and artificial intelligence. With a dynamic career in academia, he has made significant contributions to both theoretical and applied aspects of mathematics, including dynamical systems, numerical analysis, and multiscale modeling. His work spans interdisciplinary domains such as biology, finance, and computational physics. Based in Guayaquil, Ecuador, he holds dual roles in research and education, demonstrating a strong commitment to innovation in mathematics pedagogy. Alvarez is recognized for his development of active learning models and his leadership in enhancing student engagement through modern instructional methodologies. He serves as a professor at the Escuela Superior Politecnica del Litoral (ESPOL) and has also held teaching roles at the Polytechnic University of Valencia in Spain. A regular participant in international conferences and academic forums, Alvarez has built a reputation for scholarly excellence and public academic engagement. He is also active as a reviewer and committee member for renowned scientific journals and conferences. His ability to connect advanced mathematical theory with real-world applications, alongside his contributions to academic leadership, underscores his qualifications as a leading figure in his field and a strong candidate for recognition through research awards.

Professional Profile

Education

Illych Ramses Alvarez holds a robust academic background rooted in mathematical sciences and pedagogy. He earned his Ph.D. in Mathematics from the Polytechnic University of Valencia in Spain, where he specialized in advanced topics such as complex variables, dynamical systems, and fuzzy mathematics. His doctoral research provided the foundation for his ongoing work in chaos theory and applied mathematical modeling. Prior to that, he completed a Master’s degree in Mathematical Sciences with a focus on Numerical Mathematics at the University of Havana, Cuba. This training equipped him with analytical and computational skills essential for numerical simulations and algorithmic problem-solving. In addition, Alvarez pursued a second Master’s degree in Mathematics Teaching at the Escuela Superior Politecnica del Litoral (ESPOL) in Ecuador, reflecting his strong interest in the pedagogical aspects of mathematical instruction. His academic journey began with a Bachelor’s degree in Education Sciences from Universidad Metropolitana del Ecuador, which provided him with a foundational understanding of teaching methodologies and curriculum development. This diverse and comprehensive educational trajectory has allowed Alvarez to bridge rigorous research with effective teaching, making him a valuable contributor to both the academic and educational development spheres in Ecuador and internationally.

Professional Experience

Illych Ramses Alvarez brings over two decades of teaching and research experience, spanning secondary and higher education. His early career included roles in secondary institutions such as Liceo Naval de Guayaquil, where he served as a mathematics teacher and later as Head of the Mathematics Area from 2002 to 2014. He also held the position of Academic Coordinator of the Exact and Experimental Sciences Area at Liceo Los Andes Educational Unit between 2004 and 2017. His leadership and innovative teaching approaches in these roles laid the groundwork for his transition to university-level education. Since 2016, Alvarez has served as a professor and researcher at ESPOL, where he teaches courses in linear algebra, differential equations, and calculus. He has also contributed to ESPOL’s pre-university program and designed the institution’s Active Learning Model for mathematics instruction. Notably, he served as Mathematics Coordinator for the remedial course program from 2020 to 2022. Between 2023 and 2025, he has taken on a visiting teaching role at the Polytechnic University of Valencia in Spain, where he teaches complex variables. Alvarez’s professional career reflects a balanced integration of instructional excellence, research productivity, and leadership in curriculum development.

Research Interests

Illych Ramses Alvarez’s research interests are centered on applied mathematics, chaos theory, artificial intelligence, and numerical methods. His primary focus lies in the study of dynamical systems, particularly set-valued dynamics, transitivity, and mixing phenomena. He investigates how these mathematical properties manifest in various applied contexts, including biological systems, financial models, and physical simulations. A significant portion of his research involves multiscale modeling and the application of finite element methods to solve complex mathematical problems with real-world relevance. In addition, Alvarez has an active interest in fuzzy dynamical systems, exploring uncertainty and recurrence within non-traditional mathematical frameworks. His interdisciplinary approach often merges computational tools with mathematical theory, enabling him to propose new models and predictive systems across domains. More recently, Alvarez has expanded his work into artificial intelligence, particularly in its integration with chaos theory and decision-making processes. His research is characterized by its originality and relevance, bridging theoretical foundations with practical application. Furthermore, his involvement in academic conferences, journal reviewing, and committee memberships reflects a deep engagement with current trends in mathematical research and education. These varied interests place him at the intersection of innovation, theory, and educational reform within the global mathematics research community.

Research Skills

Illych Ramses Alvarez possesses an impressive set of research skills that reflect his expertise in both theoretical and computational mathematics. He is adept in advanced mathematical modeling, particularly in chaos theory, dynamical systems, and fuzzy logic. His proficiency in numerical analysis allows him to solve complex problems using finite element methods, multiscale techniques, and set-valued mappings. Alvarez also has strong skills in developing algorithms for artificial intelligence applications, particularly in the simulation of dynamical behaviors and optimization problems. His analytical acumen is supported by hands-on experience with computational tools and programming languages used in mathematical research and simulation environments. In the educational sphere, Alvarez applies his research capabilities to innovate teaching methods through active learning strategies and blended-learning models. He has designed and implemented instructional modules that integrate research concepts into classroom activities, fostering a research-based learning environment. His editorial experience as a reviewer for high-impact journals and conferences further attests to his critical thinking and evaluative abilities. Alvarez’s research skills are complemented by his capacity to communicate complex ideas clearly and effectively, making him a versatile contributor to both collaborative and independent research initiatives.

Awards and Honors

While Illych Ramses Alvarez’s formal list of awards is still growing, he has received notable recognition in academic and professional circles. He was invited as a keynote speaker at the 1st Symposium on University-Society Engagement at the University of Guayaquil in 2024, where he presented on innovative strategies in mathematics teaching—an acknowledgment of his leadership in educational reform. His selection as a reviewer and scientific committee member for the LACCEI conferences in 2023, 2024, and 2025 reflects the esteem in which his peers hold his research and evaluative expertise. Notably, he has chaired multiple research tracks and contributed as a paper reviewer and technical committee member at various international conferences. In early 2025, he was formally certified by Biosensors and Bioelectronics (Elsevier) for conducting two rigorous scientific reviews, showcasing his credibility within the scientific publishing community. Although he has yet to receive major international research awards, these engagements and recognitions are strong indicators of his growing influence and recognition in the global research landscape. His academic trajectory suggests that further honors are likely as his publication profile and research collaborations continue to expand.

Conclusion

Illych Ramses Alvarez Alvarez represents an exemplary figure in the fields of applied mathematics, chaos theory, and education reform. His diverse academic background, combined with a strong commitment to research and teaching excellence, positions him as a valuable asset to the global academic community. Through years of experience in both secondary and higher education, he has demonstrated a unique ability to translate complex mathematical concepts into accessible learning strategies, fostering deeper understanding and engagement among students. His research portfolio reveals a deep curiosity and innovation, especially in areas like dynamical systems, fuzzy logic, and AI-integrated modeling. Alvarez’s involvement in international conferences, editorial responsibilities, and active curriculum development shows his dedication to advancing both the theory and practice of mathematics. While there is room for growth in terms of high-impact journal publications and larger-scale collaborations, his existing achievements and influence are substantial. His consistent contributions to research, combined with his passion for education, make him a strong candidate for recognition through awards that honor excellence in academic research. With continued focus and support, Alvarez is well-positioned to make lasting contributions to science and education on a global scale.

Publications Top Notes

  1. Title: Advanced Numerical Modeling and Simulation of Hydrogel‐Based Chemo Fluidic Oscillator for Enhanced Insulin Delivery System in Diabetes Treatment: A Comparative and Sensitivity Analysis
    Authors: Illych Alvarez, Esteban Pulley, Patrick Arévalo, Fernando Tenesaca, Ivy Peña Elaje
    Year: 2025

  2. Title: Recurrence in Collective Dynamics: From the Hyperspace to Fuzzy Dynamical Systems
    Authors: Illych Alvarez, Antoni López-Martínez, Alfred Peris
    Year: 2025

  3. Title: Advanced Extensions and Applications of Transitivity and Mixing in Set‐Valued Dynamics With Numerical Simulations and Visual Insights
    Authors: Illych Alvarez, Mehmet Ünver
    Year: 2025

  4. Title: Advanced Extensions and Applications of Transitivity and Mixing in Set-Valued Dynamics with Numerical Simulations and Visual Insights
    Authors: Álvarez, I.R.
    Year: 2024

  5. Title: Heat Transfer Problem Solving Techniques in Materials Engineering: A Numerical Approach and Practical Applications
    Authors: Alvarez, I.A., Barros, E.C., Vargas, A.L., Escobar, I.S.
    Year: 2024

  6. Title: Recurrence in Collective Dynamics: From the Hyperspace to Fuzzy Dynamical Systems (Preprint on arXiv)
    Authors: Álvarez, I., López-Martínez, A., Peris, A.
    Year: 2024

  7. Title: Advanced Numerical Analysis and Simulation of a Chemo-Fluidic Oscillator: Comparative Study of Numerical Methods and Robustness Evaluation
    Authors: Illych Alvarez
    Year: 2024

  8. Title: A New B-Learning Methodology for Teaching Differential Integral Calculus in a School of Engineering
    Authors: Álvarez, I., García, S., Baquerizo, G., Solís, J., Avilés, J.
    Year: 2023

  9. Title: Optimal Exponentially Weighted Moving Average of T² Chart
    Authors: García-Bustos, S., Naranjo, C., Álvarez, I., Ruiz-Barzola, O., Mera-Intriago, E.
    Year: 2023

  10. Title: A New Inverted Class Methodology Applied as a Pilot Program to Students Aspiring to Enter an Ecuadorian University
    Authors: Alvarez, I., Baquerizo, G., Noboa, D., García-Bustos, S., Mera, E.M.
    Year: 2020






	


	

	






	
	

		


Premalatha Santhanamari | Engineering | Best Researcher Award
			

				Published on  by Shen Awards			

		
	


	

		
Dr. Premalatha Santhanamari | Engineering | Best Researcher Award


Associate Professor from SRMIST, Ramapuram, India




















Dr. S. Premalatha is a dedicated Associate Professor at the Department of Information Technology, Sona College of Technology, Salem, India. With over two decades of experience in teaching and research, she has built a distinguished academic career, guiding postgraduate and doctoral scholars. Dr. Premalatha holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, focusing on wireless mobile ad-hoc networks. Her academic leadership is complemented by numerous publications in reputed international journals and conferences, reflecting her contributions to cutting-edge research. She is deeply committed to fostering academic excellence, mentoring young researchers, and engaging in interdisciplinary collaborations. Dr. Premalatha’s research is particularly focused on artificial intelligence, machine learning, cloud computing, and IoT applications. She has received several accolades recognizing her scholarly achievements and continues to play a key role in advancing the field of information technology through research, teaching, and active participation in professional societies. Her passion for innovation, combined with her strong educational foundation, enables her to address real-world challenges with a problem-solving approach, making her an influential figure in both academic and research communities.


Professional Profile



Education


Dr. S. Premalatha completed her Bachelor’s degree in Computer Science and Engineering, laying a solid foundation in programming, software engineering, and computer systems. She went on to earn her Master of Engineering (M.E.) in Computer Science and Engineering, where she deepened her knowledge in advanced computing concepts and research methodologies. Her academic journey culminated in a Doctor of Philosophy (Ph.D.) in Information and Communication Engineering from Anna University, Chennai. Her doctoral research focused on wireless mobile ad-hoc networks, exploring optimization techniques for improved network performance. Throughout her educational journey, Dr. Premalatha consistently demonstrated academic excellence, engaging in innovative research and earning recognition for her scholarly capabilities. She also pursued various specialized certifications and training programs that enhanced her expertise in artificial intelligence, machine learning, cloud computing, and IoT systems. Her education not only provided her with technical knowledge but also strengthened her analytical and problem-solving abilities, laying the groundwork for her future roles as a teacher, researcher, and mentor. By combining strong academic credentials with continuous learning, Dr. Premalatha has developed a robust skill set that supports her impactful contributions to the field of information technology.


Professional Experience


Dr. S. Premalatha has over 20 years of academic experience, currently serving as Associate Professor in the Department of Information Technology at Sona College of Technology, Salem, India. Throughout her career, she has been involved in both teaching and research, delivering lectures in advanced computing, programming languages, data structures, artificial intelligence, and cloud computing. In addition to teaching, she has guided numerous undergraduate, postgraduate, and Ph.D. students, fostering innovation and critical thinking. Dr. Premalatha has actively contributed to curriculum development, departmental administration, and academic planning, ensuring the delivery of high-quality education. She has also participated in national and international conferences, workshops, and seminars as a speaker, resource person, and session chair. Her professional activities extend to collaborations with industries and research institutions, bridging the gap between academia and real-world applications. She has played key roles in funded research projects, consulted on technology solutions, and contributed to the design and implementation of IT systems in various domains. Dr. Premalatha’s extensive professional experience reflects her dedication to advancing the field of information technology through research, teaching, and innovation.


Research Interest


Dr. S. Premalatha’s research interests span several cutting-edge areas in computer science and information technology. Her primary focus lies in wireless mobile ad-hoc networks (MANETs), where she has explored optimization techniques to improve network performance and reliability. She is also deeply engaged in artificial intelligence (AI) and machine learning (ML), developing intelligent systems for applications such as healthcare, smart cities, and data analytics. Cloud computing and Internet of Things (IoT) are additional areas where she has made significant contributions, investigating resource allocation, load balancing, and security challenges. Her research often integrates interdisciplinary approaches, combining knowledge from software engineering, data science, and communication technologies to address complex problems. Dr. Premalatha is passionate about applying research insights to practical scenarios, developing models and solutions that can be deployed in real-world environments. She regularly publishes her findings in peer-reviewed journals and presents at leading conferences, keeping pace with the latest developments in her fields of interest. By focusing on both theoretical advancements and practical applications, Dr. Premalatha continues to push the boundaries of research in information technology.


Research Skills


Dr. S. Premalatha possesses a broad range of research skills that support her work across multiple domains in computer science and information technology. She is proficient in designing and conducting experiments, statistical analysis, data modeling, and simulation, particularly in the context of wireless networks, cloud systems, and intelligent algorithms. Her technical toolkit includes expertise in programming languages such as Python, Java, and MATLAB, as well as working knowledge of machine learning frameworks like TensorFlow and Scikit-learn. Dr. Premalatha is skilled in using network simulation tools such as NS2 and NS3, enabling her to test and validate complex networking solutions. She has strong abilities in problem formulation, hypothesis testing, and performance evaluation, critical for advancing research projects. Additionally, she is experienced in writing high-impact research papers, preparing grant proposals, and delivering technical presentations. Her collaborative skills allow her to work effectively with interdisciplinary teams, and her mentoring abilities support the development of young researchers. Dr. Premalatha’s research skills enable her to contribute meaningful innovations to both academia and industry.


Awards and Honors


Over her distinguished career, Dr. S. Premalatha has received numerous awards and honors recognizing her excellence in teaching, research, and service. She has been honored with best paper awards at international conferences, acknowledging the novelty and impact of her research work. Dr. Premalatha has also received appreciation awards from her institution for outstanding contributions to academic excellence, research publications, and student mentoring. Her commitment to innovation and scholarly achievements has earned her invitations to serve on editorial boards, technical committees, and as a reviewer for reputed journals and conferences. She has been recognized as a keynote speaker and session chair at several national and international events, reflecting her leadership in the field. Additionally, Dr. Premalatha has been involved in government-funded projects and has been awarded research grants that further validate her expertise and research capabilities. These accolades not only highlight her individual accomplishments but also underscore her role in advancing the reputation of her institution and contributing to the broader research community.


Conclusion


In conclusion, Dr. S. Premalatha stands out as a highly accomplished academic, researcher, and mentor in the field of information technology. Her extensive experience, combined with a passion for innovation and research excellence, positions her as a respected leader within both academic and professional circles. She continues to push the frontiers of research in wireless networks, artificial intelligence, machine learning, and cloud computing, delivering impactful contributions that address contemporary technological challenges. Beyond her research achievements, Dr. Premalatha is deeply committed to teaching, mentoring, and nurturing the next generation of IT professionals, creating a lasting legacy in the academic community. Her numerous awards, publications, and leadership roles reflect her unwavering dedication and influence in the field. Looking ahead, Dr. Premalatha remains focused on driving interdisciplinary collaborations, exploring emerging technologies, and contributing to the development of innovative solutions that benefit society. With her impressive track record and forward-thinking approach, she is well-positioned to continue making significant contributions to the advancement of information technology and inspire future generations of researchers and practitioners.










 Publications Top Notes


    

  • 

    Security Enhancement in 5G Networks by Identifying Attacks Using Optimized Cosine Convolutional Neural Network
    

      

    • 

      Journal: Internet Technology Letters
      

      • 

    • 

      Year: 2025
      

      • 

    • 

      DOI: 10.1002/ITL2.70003
      

      • 

    • 

      Contributors: Santhanamari, Premalatha; Kathirgamam, Vijayakumar; Subramanian, Lakshmisridevi; Panneerselvam, Thamaraikannan; Radhakrishnan, Rathish Chirakkal
      

      • 

    

    • 

  • 

    Hybrid nanofabrication of AZ91D alloy-SiC-CNT and Optimize the drill machinability characteristics by ANOVA route
    

      

    • 

      Journal: Optical and Quantum Electronics
      

      • 

    • 

      Year: 2024
      

      • 

    • 

      DOI: 10.1007/s11082-023-06121-9
      

      • 

    • 

      Contributors: Vimala, P.; Deepa, K.; Agrawal, A.; Raj, S.S.; Premalatha, S.; V. Mohanavel; Ali, M.
      

      • 

    

    • 

  • 

    Analysis of single-phase cascaded H-bridge multilevel inverters under variable power conditions
    

      

    • 

      Journal: Indonesian Journal of Electrical Engineering and Computer Science
      

      • 

    • 

      Year: 2023
      

      • 

    • 

      DOI: 10.11591/ijeecs.v30.i3.pp1381-1388
      

      • 

    • 

      Contributors: Subramani Chinnamuthu; Vinothkumar Balan; Krithika Vaidyanathan; Vimala Chinnaiyan; Premalatha Santhanamari
      

      • 

    

    • 

  • 

    Protection of stand-alone wind energy conversion system using bridge type fault current limiters
    

      

    • 

      Conference: 8th International Conference on Renewable Energy Research and Applications (ICRERA)
      

      • 

    • 

      Year: 2019
      

      • 

    • 

      DOI: 10.1109/ICRERA47325.2019.8996727
      

      • 

    • 

      Contributors: Arun Bhaskar, M.; Premalatha, S.; Parameswaran, A.; Dinesh, P.; Dash, S.S.
      

      • 

    

    • 

  • 

    Optimization of impedance mismatch in distance protection of transmission line with TCSC
    

      

    • 

      Conference: Advances in Intelligent Systems and Computing
      

      • 

    • 

      Year: 2016
      

      • 

    • 

      DOI: 10.1007/978-81-322-2656-7_115
      

      • 

    • 

      Contributors: Arun Bhaskar, M.; Indhirani, A.; Premalatha, S.
      

      • 

    

    • 

  • 

    Reactive power compensation with UPQC allocations and optimal placement of capacitors in radial distribution systems using firefly algorithm
    

      

    • 

      Journal: International Journal of Control Theory and Applications
      

      • 

    • 

      Year: 2016
      

      • 

    • 

      Contributors: Premalatha, S.; Sukanthan, S.; Sunitha, D.; Umayal Muthu, V.
      

      • 

    

    • 

  • 

    Design of UPFC based Damping Controller using Neuro Fuzzy to Enhance Multi-machine Power System Stability
    

      

    • 

      Journal: Indian Journal of Science and Technology
      

      • 

    • 

      Year: 2016
      

      • 

    • 

      DOI: 10.17485/ijst/2016/v9is1/110905
      

      • 

    • 

      Contributors: S. Premalatha; D. Prathima
      

      • 

    

    • 

  • 

    Non-iterative optimization algorithm based D-STATCOM for power quality enhancement
    

      

    • 

      Journal: International Review on Modelling and Simulations
      

      • 

    • 

      Year: 2013
      

      • 

    • 

      Contributors: Premalatha, S.; Dash, S.S.; Arun Venkatesh, J.; Rayaguru, N.K.
      

      • 

    

    • 

  • 

    Power Quality Improvement Features for a Distributed Generation System using Shunt Active Power Filter
    

      

    • 

      Journal: Procedia Engineering
      

      • 

    • 

      Year: 2013
      

      • 

    • 

      DOI: 10.1016/j.proeng.2013.09.098
      

      • 

    • 

      Contributors: S. Premalatha; Subhransu Sekhar Dash; Paduchuri Chandra Babu
      

      • 

    

    • 

  • 

    PV supported DVR and D-STATCOM for mitigating power quality issues
    

      

    • 

      Journal: International Review on Modelling and Simulations
      

      • 

    • 

      Year: 2013
      

      • 

    • 

      Contributors: Premalatha, S.; Dash, S.S.; Sunitha, D.; Mohanasundaram, R.
      

      • 

    

    • 

























	


	

	






	
	

		


Leila Omidi | Engineering | Best Researcher Award
			

				Published on  by Shen Awards			

		
	


	

		
Dr. Leila Omidi | Engineering | Best Researcher Award


Assistant Professor from Tehran University of Medical Sciences, Iran




















Leila Omidi is an accomplished academic and researcher specializing in Occupational Health and Safety Engineering. She currently serves as an Assistant Professor in the Department of Occupational Health Engineering at Tehran University of Medical Sciences. With a focus on process safety, risk analysis, resilience engineering, and human factors affecting safety, Omidi has significantly contributed to research in high-risk industries, particularly in fire safety systems, human error management, and safety performance metrics. Her work addresses both theoretical and practical aspects of safety engineering, offering solutions to enhance safety standards in industries such as oil refining and healthcare. She has authored multiple research papers, secured numerous research grants, and held various academic leadership roles. Omidi’s expertise and influence in her field extend through her editorial work with several prominent safety journals, showcasing her leadership in advancing research and knowledge in her discipline.


Professional Profile



Education


Leila Omidi earned her Ph.D. in Occupational Health and Safety Engineering from Tehran University of Medical Sciences, where her research focused on process safety and resilience engineering. She completed her MSc in Occupational Health and Safety Engineering at Shahid Beheshti University of Medical Sciences. Throughout her academic journey, Omidi has honed her expertise in risk analysis, safety culture, and human reliability. Her educational background forms a solid foundation for her ongoing research and academic contributions. Omidi’s doctoral and master’s thesis work provided innovative insights into optimizing safety systems in high-risk sectors, further enhancing her credentials as a leading scholar in her field.


Professional Experience


Leila Omidi has gained extensive professional experience through both academic and industry roles. She is currently an Assistant Professor at Tehran University of Medical Sciences, where she teaches graduate-level courses in Crisis and Emergency Management, Accident Analysis, Fire Risk Assessment, and Occupational Health. In addition to her academic roles, Omidi has served as a Health Expert at the Iran Ministry of Health and as a Safety Advisor at various industrial companies, including Mizan Binazir Industrial Company and Gam Metal Casting Company. Her experience in industry and academia has allowed her to bridge the gap between research and real-world application, making her research highly relevant and impactful for safety engineering practices.


Research Interests


Leila Omidi’s research interests are centered on process safety, risk analysis, safety culture, and human factors in high-risk industries. She is particularly interested in resilience engineering and safety performance indicators, with a focus on improving safety outcomes through leading and lagging metrics. Omidi’s work also explores human reliability analysis (HRA) and safety performance in industrial settings, as well as human error management. Her research contributes to both theoretical understanding and practical applications, addressing challenges such as fire risk assessment, safety climate factors, and risk-based resilience in industries like oil refining and healthcare. Through her studies, Omidi aims to enhance safety systems and reduce accidents, ultimately improving worker health and safety.


Research Skills


Leila Omidi possesses advanced research skills in risk analysis, resilience engineering, and human reliability analysis. Her expertise includes using simulation-based methods to assess and optimize safety systems, as demonstrated by her work on the risk-based resilience of fire extinguishing systems in the oil refining industry. Omidi is skilled in applying a range of quantitative and qualitative research methods to evaluate safety performance and risk factors. Her proficiency in process safety performance indicators, safety culture assessments, and fire risk analysis showcases her diverse research capabilities. Furthermore, her involvement in human error identification and system safety analysis highlights her ability to address complex challenges in industrial safety.


Awards and Honors


Leila Omidi has received numerous awards and honors for her academic and research achievements. She has been awarded several research grants, including funding for her Ph.D. thesis on risk-based resilience in the fire extinguishing system of the oil refining industry. Additionally, she has received multiple MSc thesis grants for her work on reliability-centered maintenance strategies and human error analysis. Omidi’s accomplishments also include being named a top student in her department at Shahid Beheshti University and recognition as a member of Iran’s National Elites Foundation. Her contributions to safety engineering and occupational health have earned her various distinctions, cementing her reputation as a leading scholar in her field.


Conclusion


Leila Omidi is a highly accomplished researcher and academic in the field of Occupational Health and Safety Engineering. With a strong educational foundation and extensive professional experience, she has contributed significantly to the advancement of process safety, risk analysis, and human reliability. Omidi’s research has practical implications for improving safety systems in industries such as oil refining and healthcare, and her teaching has shaped the next generation of safety engineers. Her numerous research grants and awards, combined with her leadership in academic publishing and her editorial work, demonstrate her impact on the field. While her international collaborations and interdisciplinary research could be expanded, Omidi’s work continues to have a significant influence on improving safety and resilience in high-risk industries.


Publications Top Notes


    

  1. 

    Title: Resilience assessment in process industries: A review of literature
    

      

    • 

      Authors: Ghaljahi Maryam, Omidi Leila, Karimi Ali
      

      • 

    • 

      Year: 2025
      

      • 

    

    2. 

  2. 

    Title: Safety leadership and safety citizenship behavior: the mediating roles of safety knowledge, safety motivation, and psychological contract of safety
    

      

    • 

      Authors: Omidi Leila, Karimi Hossein, Pilbeam Colin J., Mousavi Saeid, Moradi Gholamreza R.
      

      • 

    • 

      Year: 2025
      

      • 

    • 

      Citations: 3
      

      • 

    

    3. 

  3. 

    Title: Evaluation of Domino Effects and Vulnerability Analysis of Oil Product Storage Tanks Using Graph Theory and Bayesian Networks in a Process Industry
    

      

    • 

      Authors: Ghaljahi Maryam, Omidi Leila, Karimi Ali
      

      • 

    • 

      Year: 2024
      

      • 

    • 

      Citations: 1
      

      • 

    

    4. 






















	


	

	






	
	

		


Baoqiang Du | Engineering | Best Researcher Award
			

				Published on  by Shen Awards			

		
	


	

		
Prof. Baoqiang Du | Engineering | Best Researcher Award


Director from Hunan Normal University, China


Dr. Du Baoqiang is a highly respected academician and researcher specializing in information and communication engineering, satellite navigation, and high-precision measurement technologies. Born in November 1973, he currently serves as a second-level professor and doctoral supervisor at Hunan Normal University. His educational background includes studies at the PLA Information Engineering University, Zhengzhou University, and Xidian University, followed by postdoctoral research in related fields. As a “Furong Scholar” specially appointed professor, he has demonstrated leadership in various major educational and research programs. Dr. Du is known for his pioneering contributions to Beidou satellite signal processing, where he introduced new theories and technical innovations that have had significant industrial and academic impact. His research work has led to the development of instruments reaching international advanced standards, particularly enhancing satellite positioning precision from the centimeter to the millimeter level. In addition to publishing over a hundred academic papers and holding numerous patents, he has actively contributed to national-level projects, academic evaluations, and technical developments. His outstanding achievements and leadership make him a leading figure in his field and a strong candidate for top-tier research awards.


Professional Profile



Education


Dr. Du Baoqiang’s academic journey reflects a solid and progressive formation in engineering and technology. He pursued his undergraduate and graduate studies successively at the PLA Information Engineering University, Zhengzhou University, and Xidian University. Throughout these institutions, he specialized in areas deeply connected to communication engineering, information processing, and computer science. Following the completion of his Doctor of Engineering degree, Dr. Du engaged in postdoctoral research in Information and Communication Engineering and Computer Science and Technology. His academic development not only provided him with a robust technical foundation but also exposed him to interdisciplinary research fields, crucial for his later innovations in satellite navigation and signal processing. The combination of military-grade information systems education and civilian academic excellence equipped him with unique insights that have greatly benefited his professional career. His education path shows a consistent focus on high-tech fields, indicating early strategic planning and dedication to advancing in cutting-edge technological domains. These experiences laid the groundwork for his contributions to the Beidou navigation system and high-precision positioning technologies.


Professional Experience


Dr. Du Baoqiang’s professional career is marked by substantial academic leadership and technological innovation. As a second-level professor at Hunan Normal University, he supervises doctoral candidates and leads multiple strategic programs. He serves as the head of the Department of Communication Engineering and directs several critical programs, including the provincial first-class major in Communication Engineering and the master’s degree programs in Electronic Science and Technology. He is also the director of significant research facilities, such as the Hunan Province Beidou High-Performance Cooperative Positioning Engineering Technology Research Center and the Key Laboratory of Beidou Intelligent Navigation Information Processing. Beyond his academic roles, Dr. Du actively contributes to industry and policy development as the vice president of the Hunan Satellite Application Association and an expert advisor for the China Beidou Tianheng Think Tank. His service as a reviewer for the National Natural Science Foundation of China and national undergraduate and doctoral evaluations underlines his status as a trusted figure in academic quality assurance. Throughout his career, he has successfully led numerous national and provincial research projects, making significant strides in both theoretical research and practical technological applications.


Research Interest


Dr. Du Baoqiang’s primary research interests center around satellite navigation signal processing, high-precision time-frequency information measurement, and cooperative positioning system development. His work particularly focuses on advancing the Beidou navigation system, one of China’s major satellite positioning initiatives. He has delved into the theory and practical applications of ultra-high-resolution heterogeneous frequency group quantization phase processing and adaptive frequency tracking technologies. Additionally, Dr. Du is keenly interested in solving complex challenges in weak signal detection, phase synchronization, and error elimination in circuit systems. His research addresses both theoretical advancements and industrial applications, aiming to bridge the gap between scientific research and technological commercialization. He strives to enhance the precision and reliability of satellite-based positioning services, pushing capabilities from the centimeter level to the millimeter level. Furthermore, his contributions support the national strategic goals in satellite navigation and communication engineering, solidifying China’s competitiveness in this critical high-tech domain. Dr. Du’s research philosophy integrates scientific discovery, engineering innovation, and application-driven development, ensuring that his work remains relevant to academic progress and national technological needs.


Research Skills


Dr. Du Baoqiang demonstrates an exceptional range of research skills, blending theoretical analysis with practical system development. His expertise covers advanced signal processing algorithms, high-precision time-frequency measurement systems, and the technological integration necessary for industrial-scale applications. He has a deep understanding of Beidou satellite systems and has innovated unique methods like ultra-high-resolution group quantization and adaptive differential phase synchronization. His skills include the design and development of high-precision instruments, project leadership in large-scale scientific and technological endeavors, and academic writing, with a record of over 100 peer-reviewed publications. As a project manager, he exhibits strategic planning abilities, team leadership, and cross-disciplinary collaboration. Dr. Du also possesses strong skills in patent development, having successfully registered 28 invention patents. Moreover, his capabilities as a scientific reviewer and advisor for national foundations and educational ministries demonstrate his critical evaluation and research assessment skills. These diverse abilities enable him to contribute comprehensively to his field, from pioneering theoretical insights to delivering real-world technological breakthroughs.


Awards and Honors


Throughout his career, Dr. Du Baoqiang has earned numerous awards and honors that reflect his contributions to science, education, and technology. He holds the prestigious title of “Furong Scholar,” a designation for distinguished professors in Hunan Province. He has been recognized as an outstanding party affairs worker by the Comprehensive Committee of Social Organizations of Hunan Province, illustrating his leadership not only in academics but also in organizational development. His technological achievements have been validated through eight provincial-level scientific and technological appraisals, all reaching the international advanced level. Under his leadership, instruments like the DF427 high-precision Doppler frequency shift measuring system have achieved world-leading performance. Dr. Du has also been appointed as an expert with the China Beidou Tianheng Think Tank and serves as a reviewer for critical national funding programs, confirming his high standing in China’s scientific community. His prolific output of high-impact publications and patents further cements his reputation as an innovator and thought leader in communication engineering and satellite navigation technologies.


Conclusion


Dr. Du Baoqiang represents a model of excellence in engineering research and academic leadership. His combination of deep theoretical knowledge, innovative technical development, and influential leadership roles positions him as a top figure in the fields of satellite navigation and high-precision measurement technologies. His scientific contributions have practical significance, enhancing China’s technological capabilities and supporting national strategic interests in the Beidou navigation system. While his national recognition is substantial, further expanding his international collaborations would elevate his influence to a truly global scale. Nevertheless, the depth, breadth, and impact of Dr. Du’s work make him exceptionally deserving of prestigious honors such as the Best Researcher Award. His career is a testament to sustained dedication, scientific creativity, and the practical application of advanced research to solve critical technological challenges.


Publication Top Notes


    

  1. 

    Title: High-Stability Adaptive Frequency Comparison Method Based on Fuzzy Area Characteristics
    

      

    • 

      Authors: Du Baoqiang, Yang Zerui, Su Yangfan
      

      • 

    • 

      Year: 2025
      

      • 

    

    2. 

  2. 

    Title: High-Accuracy Frequency Standard Comparison Technology Combining Adaptive Frequency and Lissajous Figure
    

      

    • 

      Authors: Du Baoqiang, Su Yangfan, Yang Zerui
      

      • 

    • 

      Year: 2025
      

      • 

    

    3. 

  3. 

    Title: High-Accuracy Phase Frequency Detection Technology Based on BDS Time and Frequency Signals
    

      

    • 

      Authors: Du Baoqiang, Tan Lanqin
      

      • 

    • 

      Year: 2024
      

      • 

    

    4. 

  4. 

    Title: A High-Precision Frequency Measurement Method Combining π-Type Delay Chain and Different Frequency Phase Coincidence Detection
    

      

    • 

      Authors: Du Baoqiang, Li Wenming
      

      • 

    • 

      Year: 2024
      

      • 

    • 

      Citations: 2
      

      • 

    

    5. 



 



	


	

	






	
	

		


Jingxia Wang | Engineering | Best Researcher Award
			

				Published on  by Shen Awards			

		
	


	

		
Ms. Jingxia Wang | Engineering | Best Researcher Award


Doctor from University of Shanghai for Science and Technology, China




















Jingxia Wang is a promising young researcher and lecturer in the School of Mechanical Engineering at the University of Shanghai for Science and Technology. Her academic journey and research achievements reflect a strong commitment to advancing the field of electrical and electromechanical systems. With a specialized focus on the electromagnetic-thermal coupling and iron loss analysis in electric machines, she has contributed significantly to the theoretical and applied aspects of energy conversion technologies. Her research addresses key challenges in improving the performance and efficiency of permanent magnet and induction motors under inverter supply, aligning with the growing demands for high-performance electric drives. She has published several high-quality articles in top-tier journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion, establishing her as a rising expert in her field. In addition to scholarly publications, she has also contributed to patented innovations in the domain of loss calculation and electromagnetic simulation. Her active participation in national research funding programs and leadership roles in funded projects underscore her academic capabilities. Jingxia Wang continues to grow as an independent researcher with a clear vision and technical depth, making her a strong candidate for prestigious academic recognition, including the Best Researcher Award.


Professional Profile



Education


Jingxia Wang has built her academic foundation through a robust and consistent educational trajectory in the field of electrical engineering. She completed her undergraduate studies at Northeast Electric Power University from September 2011 to July 2015, where she obtained a Bachelor’s degree in Electrical Engineering and Automation. Her early training laid the groundwork for deeper technical exploration and problem-solving in electric machine systems. Driven by academic passion and curiosity, she pursued doctoral studies at Southeast University—one of China’s top institutions—in the field of Electrical Engineering from September 2015 to March 2022. During her Ph.D., she specialized in iron loss modeling, magnetic field modulation, and electromagnetic-thermal coupling in motor systems, which later became core aspects of her research focus. Her doctoral work contributed to high-impact publications and several patents, indicating both theoretical innovation and practical relevance. While she has not undertaken a postdoctoral fellowship, the depth and breadth of her Ph.D. training have equipped her with the technical acumen necessary for independent research and academic leadership. Her educational background reflects strong theoretical grounding and hands-on experience with complex computational models and machine dynamics, positioning her well within the academic and industrial research community.


Professional Experience


Jingxia Wang has been serving as a Lecturer at the School of Mechanical Engineering, University of Shanghai for Science and Technology since June 2022. In this capacity, she has been actively engaged in both teaching and research activities related to electric machinery and computational modeling. Her professional role involves mentoring students, contributing to curriculum development, and leading research projects funded by national and municipal agencies. Although she does not have postdoctoral experience, her transition from Ph.D. to faculty position demonstrates her capability to operate as an independent researcher. As a principal investigator, she has led and managed a National Natural Science Foundation Youth Fund project focused on inverter-fed induction motors and magnetic loss analysis, reflecting her technical leadership and project management skills. Additionally, she has participated in and contributed to major collaborative research projects funded by NSFC and the Shanghai Science and Technology Commission. Her involvement in interdisciplinary work, such as multi-physics coupling analysis, further expands the relevance of her professional profile across mechanical and electrical domains. Jingxia’s teaching experience and project responsibilities showcase a balanced academic career that combines foundational research, practical application, and knowledge dissemination, strengthening her suitability for academic recognition and further career advancement.


Research Interests


Jingxia Wang’s research interests lie at the intersection of electrical machine design, electromagnetic modeling, and multiphysics simulation. Her work primarily focuses on accurate calculation and analysis of iron loss in permanent magnet and induction motors, especially under pulse-width modulation (PWM) inverter supply. One of her core contributions has been the application of general airgap magnetic field modulation theory to quantify iron loss and stray load loss more effectively. Additionally, she has expanded her research into bidirectional coupling between electromagnetic and thermal fields, a critical area for enhancing the design accuracy and reliability of electric machines in dynamic environments. Her interests also include finite element analysis (FEA), fast calculation algorithms, and field-oriented control techniques for electric drives. Through her ongoing research, she addresses challenges in improving energy efficiency, thermal stability, and operational reliability in motor systems used in transportation, robotics, and industrial automation. Her work bridges theoretical electromagnetics with real-world implementation, making her contributions both academically valuable and industrially applicable. As sustainability and electrification become global priorities, her research remains timely and impactful, paving the way for smarter, more efficient electromechanical devices and systems.


Research Skills


Jingxia Wang possesses a comprehensive set of research skills that support her specialization in electric machine systems and computational modeling. She is highly proficient in electromagnetic field theory and loss analysis techniques, particularly in inverter-fed motors. Her expertise includes the application of general airgap field modulation theory, finite element analysis (FEA), and the development of fast calculation methods for complex electromechanical systems. She is also skilled in thermal simulation and electromagnetic-thermal bidirectional coupling analysis, which are crucial for evaluating machine performance under varying operational conditions. Her programming capabilities and simulation experience with industry-standard tools enable her to handle multi-domain simulations efficiently. Furthermore, she has experience with research project design, proposal writing, data interpretation, and results dissemination through high-impact publications. Her skill set extends to intellectual property development, as evidenced by her co-invention of several patents. Jingxia is adept at translating theoretical models into practical applications, making her a valuable collaborator in both academic and industrial research environments. Her methodological rigor, combined with strong analytical and communication skills, enhances her ability to lead independent research and mentor students in advanced engineering topics.


Awards and Honors


Although specific awards are not listed beyond patents and project funding, Jingxia Wang’s academic track record includes several forms of recognition that demonstrate her research excellence and innovative capabilities. She has received competitive research funding from the National Natural Science Foundation of China, including a Youth Fund project, which is highly regarded for supporting emerging researchers with outstanding potential. Her leadership in this and other municipal projects such as the Shanghai “Science and Technology Innovation Action Plan” reflects recognition by key funding bodies and the research community. Her scholarly work has appeared in prestigious journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion, often as the sole first author—a significant academic distinction. She has also co-invented multiple patents related to magnetic field modulation, iron loss calculation, and electromagnetic-thermal modeling, highlighting her contribution to applied research and technology transfer. These honors, combined with her early career achievements, serve as strong indicators of her research strength, impact, and upward trajectory. As her academic career progresses, she is well-positioned to attain further distinctions at both national and international levels.


Conclusion


Jingxia Wang emerges as a highly capable and driven early-career academic with a solid foundation in electrical engineering and a sharp focus on energy-efficient electromechanical systems. Her contributions span theoretical innovation, computational modeling, and practical engineering solutions—making her research both relevant and forward-looking. Through high-impact publications, funded projects, and patented technologies, she has already made a significant mark in the field of electric machine analysis. Her ability to integrate electromagnetic theory with thermal dynamics in machine modeling reflects a rare depth of technical insight and interdisciplinary thinking. While she could further benefit from postdoctoral experience or international research exposure, her current achievements speak to her strong potential for future academic and industrial leadership. As a researcher who demonstrates clarity in focus, rigor in methodology, and creativity in solving complex engineering problems, Jingxia Wang is a compelling nominee for the Best Researcher Award. Her trajectory suggests sustained contributions to science and engineering, with the capacity to influence not only academic discourse but also real-world applications in energy and automation systems.


Publications Top Notes


    

  1. Double-virtual-vector-based model predictive torque control for dual three-phase PMSM
    Authors: Qingqing Yuan, Rongyan Xiao, Jingxia Wang, Kun Xia, Wei Yu
    Journal: Electronics (Switzerland)
    Year: 2025
    2. 







































	


	

	






	
	

		


Duygu Bayram Kara | Engineering | Best Researcher Award
			

				Published on  by Shen Awards			

		
	


	

		
Assoc. Prof. Dr. Duygu Bayram Kara | Engineering | Best Researcher Award


Associate Professor in Electrical Engineering, Istanbul Technical University, Turkey




















Duygu Bayram Kara is a seasoned academic and researcher with deep expertise in signal processing, soft computing, and machine learning, particularly applied to condition monitoring, diagnostics, and electric machinery. Currently serving as an Associate Professor at Istanbul Technical University in the Department of Electrical Engineering, she brings over a decade of academic and industry experience. Her research combines theoretical innovation with practical application, contributing to the evolving field of intelligent systems. Her academic journey has been rooted in Istanbul Technical University, where she earned her BSc, MSc, and PhD, focusing on induction motor design and diagnostics using advanced analytical tools such as finite element analysis and wavelet transforms. Duygu has complemented her academic work with international research experiences, notably as a Visiting Researcher at the University of Tennessee, Knoxville. She is also actively involved in public outreach and technical consulting, further underlining her multidisciplinary impact. Her commitment to lifelong learning is reflected in a broad range of certifications and training, including predictive modeling, diagnostics platforms, and simulation software. With a balanced profile that merges strong theoretical grounding, industrial relevance, and societal contribution, Duygu Bayram Kara stands out as a compelling candidate for research honors and recognition.


Professional  Profile



Educational Background


Duygu Bayram Kara holds a comprehensive academic background in Electrical Engineering, having completed all her higher education at the prestigious Istanbul Technical University. She earned her Bachelor of Science degree between 2001 and 2006, focusing on the design of squirrel cage induction motors, which laid the groundwork for her future specialization. Her Master’s degree, completed between 2006 and 2009, involved advanced finite element analysis, specifically examining the impact of time harmonic voltages on induction machines. This rigorous technical foundation was further strengthened by her PhD studies from 2009 to 2015, where she developed innovative methodologies for condition monitoring and fault detection in induction motors using geometric trending and stationary wavelet analysis. Her academic training provided her with solid skills in modeling, simulation, and diagnostics, essential for modern-day electrical engineering challenges. During her educational journey, Duygu not only acquired theoretical knowledge but also demonstrated an ability to apply these skills in research settings, earning her recognition as a technically proficient and research-driven scholar. Her educational pathway reflects a deep and focused commitment to mastering complex electromechanical systems and diagnostic methodologies, which she continues to explore in her academic and industrial collaborations.


Professional Experience


Duygu Bayram Kara has cultivated a rich and diverse professional career centered on electrical engineering, diagnostics, and intelligent systems. She currently serves as an Associate Professor in the Electrical Engineering Department of Istanbul Technical University, where she leads the Intelligent Condition Monitoring & Diagnostics Lab. Her academic journey at the university began as a Research Assistant in 2007, culminating in a decade-long role as Assistant Professor from 2016 to 2025. Beyond academia, she has also worked in industry as a Senior Researcher at MEKATRO Mechatronic Systems Research & Development Corp., where she contributed to the design and optimization of electric vehicle drive systems. Her international exposure includes a stint as a Visiting Researcher at the University of Tennessee, Knoxville, collaborating with the PROACT Lab on reliability and maintainability projects. In addition to her academic and research activities, she has provided consultancy and training for organizations such as the Directorate General of Coastal Safety of Turkiye and ARÇELIK, where she played a key role in designing high-efficiency electric motors. This blend of academic rigor, practical industry involvement, and international collaboration highlights her multifaceted professional profile, showcasing her ability to navigate and impact various sectors in the field of electrical engineering and applied diagnostics.


Research Interests


Duygu Bayram Kara’s research interests lie at the intersection of electrical engineering, machine learning, and system diagnostics. Her primary focus areas include signal processing, condition monitoring, fault diagnostics, soft computing, and electric machinery. She has a particular interest in using machine learning and wavelet-based approaches for predictive maintenance and early fault detection in rotating electrical machines such as induction motors. Her academic foundation in electric machine design allows her to approach diagnostics not only from a data perspective but also from an in-depth understanding of electromechanical system behavior. She is also actively engaged in finite element modeling (FEM) and simulation-based analysis, which she applies to complex system evaluations and component-level analysis. Over the years, Duygu has expanded her research to include intelligent monitoring systems, contributing to innovations in both hardware and software solutions for industrial applications. Her collaborative work in international labs and consulting roles further enriches her research perspective, bridging the gap between theoretical development and industrial needs. She continues to explore new frontiers in diagnostics and reliability engineering, ensuring her work remains aligned with technological advancements and real-world challenges in electrical engineering and system optimization.


Research Skills


Duygu Bayram Kara possesses a robust and versatile research skill set that spans theoretical modeling, computational simulation, experimental diagnostics, and machine learning applications. Her technical toolkit includes advanced proficiency in MATLAB, Python, and simulation software such as ANSYS Maxwell, RMxprt, and FEMM. She has substantial expertise in signal processing techniques, including wavelet analysis and time-frequency representations, used for condition monitoring and fault detection in electric machinery. Her ability to apply finite element analysis (FEA) to evaluate the behavior of electrical machines under different conditions highlights her simulation proficiency. Furthermore, Duygu is trained in using specialized tools such as the MATLAB Diagnostics and Prognostics Toolbox and has completed professional training in predictive modeling and empirical prognostics. She effectively integrates soft computing approaches and artificial intelligence algorithms into traditional electrical engineering problems, thereby contributing to the evolution of intelligent monitoring systems. Her experience working with vibration sensing platforms, coupled with her background in electric machine design, enables her to diagnose faults with high accuracy. This multidisciplinary skill set positions her as a valuable asset in both academic and industrial research environments. She demonstrates not only technical excellence but also a practical orientation, making her a well-rounded and impactful researcher.


Awards and Honors


While the provided profile does not list major competitive awards or honors explicitly, Duygu Bayram Kara has earned significant recognition through her academic, professional, and technical accomplishments. Notably, she became a Senior Member of IEEE in July 2021, a status granted to individuals with extensive experience and significant performance in their field. This recognition reflects her leadership, technical proficiency, and professional involvement in the global electrical engineering community. Additionally, she has participated in numerous prestigious training programs, such as IEEE’s Continuing Education workshops on condition-based monitoring and empirical modeling, as well as specialized certifications in predictive analytics and simulation tools. Her consultancy roles with organizations like ARÇELIK and the Directorate General of Coastal Safety indicate a high level of trust and credibility in her applied research expertise. Furthermore, her involvement in socially impactful events, such as organizing the EU Sustainable Energy Week and educational science outreach programs, speaks to her dedication to science communication and community engagement. Although competitive research awards or grant recognitions are not detailed in her profile, her accumulation of professional certificates, trusted consulting roles, and IEEE senior membership validate her achievements and contributions in the field of diagnostics and electric machinery.


Conclusion


In conclusion, Duygu Bayram Kara presents a compelling case as a candidate for the Best Researcher Award. Her work embodies a rare blend of academic depth, technical innovation, practical industry experience, and international collaboration. With a research focus on condition monitoring, signal processing, and electric machinery diagnostics, she has consistently contributed to both theoretical knowledge and practical solutions. Her robust academic background, enhanced by global exposure and multidisciplinary expertise, positions her as a leading figure in her field. Her profile reflects not only excellence in research but also a commitment to societal advancement through education and public engagement. Moreover, her consultancy experience and continuous professional development underscore her dynamic approach to solving real-world engineering challenges. While the profile could benefit from more detailed recognition through competitive research awards or high-profile grants, her achievements across teaching, research, and service clearly indicate sustained impact and leadership. Overall, Duygu Bayram Kara stands out as a researcher who combines innovative thinking with technical mastery, making her a worthy nominee for distinguished research accolades and recognition in the global academic and engineering community.


Publications Top Notes


    

  1. 

    Degradation assessment of an IGBT with recurrence analysis and Kalman filter based data fusion
    Authors: Duygu Bayram Kara
    Journal: Chaos, Solitons and Fractals
    Year: 2024
    

    2. 

  2. 

    Park vector approach based misalignment detection strategy for IMs (Conference Paper)
    Authors: Ege Kahraman, Anil Erkut Ulusoy, Mehmet Ozan Şerifoğlu, Duygu Bayram Kara
    Year: 2024
    Citations: 1
    

    3.