Basem KESHTA | Chemical Engineering | Best Researcher Award

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Dr. Basem KESHTA | Chemical Engineering | Best Researcher Award

Postdoctoral Fellow from Zhejiang Normal University, China 

Dr. Basem E. Keshta is a dedicated researcher in the field of chemistry, currently affiliated with the Department of Computational Chemistry at CDBIO in Romania. His work primarily focuses on computational approaches to chemical research, contributing to advancements in the field. Dr. Keshta has collaborated on significant publications, including a study on wet surface tissue adhesive hydrogels for wound treatment, published in the European Polymer Journal in 2024 . His research interests are centered around chemistry, and he has been recognized as a global expert from Romania in this domain.

Professional Profile

Education

Specific details regarding Dr. Keshta’s educational background are not publicly available. However, his current role in computational chemistry suggests a strong academic foundation in chemistry and related disciplines. Typically, professionals in this field hold advanced degrees such as a Master’s or Ph.D. in Chemistry, Computational Chemistry, or Chemical Engineering. These programs provide rigorous training in chemical theory, laboratory practices, and computational modeling, equipping researchers with the skills necessary for complex chemical analysis and research. Dr. Keshta’s contributions to scientific publications indicate a high level of expertise and a solid educational background supporting his research endeavors.

Professional Experience

Dr. Keshta is currently engaged with the Department of Computational Chemistry at CDBIO in Romania. His professional experience encompasses research in computational chemistry, where he applies theoretical and computational methods to solve chemical problems. This role involves collaboration with interdisciplinary teams, contributing to the development of innovative solutions in chemistry. His involvement in recent publications, such as the study on tissue adhesive hydrogels, demonstrates his active participation in advancing chemical research. While specific details of his previous positions are not disclosed, his current role signifies a career dedicated to scientific inquiry and research excellence.

Research Interests

Dr. Keshta’s research interests lie within the broad field of chemistry, with a particular focus on computational chemistry. This area involves using computer simulations and models to understand chemical structures, reactions, and properties. His work contributes to the development of new materials and chemical processes, as evidenced by his co-authorship in a study on wet surface tissue adhesive hydrogels for wound treatment . Such research has significant implications in biomedical applications, showcasing his interest in applying chemical principles to solve real-world problems.

Research Skills

Dr. Keshta possesses a strong skill set in computational chemistry, including proficiency in molecular modeling, simulation techniques, and data analysis. His expertise enables him to investigate complex chemical systems and contribute to the design of novel materials. The study on tissue adhesive hydrogels highlights his ability to collaborate on interdisciplinary research, integrating chemistry with biomedical applications . His skills are essential for advancing research in developing materials with specific properties, such as biocompatibility and adhesion, which are critical in medical treatments.

Awards and Honors

There is no publicly available information regarding specific awards or honors received by Dr. Keshta. However, his recognition as a global expert in chemistry from Romania indicates a respected standing in the scientific community . His contributions to high-impact research publications further underscore his professional achievements and the esteem in which he is held by peers in his field.

Conclusion

Dr. Basem E. Keshta is a committed chemist specializing in computational chemistry, contributing to significant research endeavors at CDBIO in Romania. His work, particularly in developing tissue adhesive hydrogels, demonstrates the practical applications of his research in addressing medical challenges . While specific details about his educational background and awards are not publicly disclosed, his active role in scientific research and recognition as a global expert reflect his dedication and impact in the field of chemistry

Publications Top Notes

  • Chemical insight into the adsorption of reactive wool dyes onto amine-functionalized magnetite/silica core-shell from industrial wastewaters
    Authors: AH Gemeay, BE Keshta, RG El-Sharkawy, AB Zaki
    Year: 2020

  • MIL series-based MOFs as effective adsorbents for removing hazardous organic pollutants from water
    Authors: BE Keshta, H Yu, L Wang
    Year: 2023

  • Impacts of horseradish peroxidase immobilization onto functionalized superparamagnetic iron oxide nanoparticles as a biocatalyst for dye degradation
    Authors: BE Keshta, AH Gemeay, AA Khamis
    Year: 2021

  • State of the art on the magnetic iron oxide nanoparticles: Synthesis, Functionalization, and applications in wastewater treatment
    Authors: BE Keshta, AH Gemeay, DK Sinha, S Elsharkawy, F Hassan, N Rai, et al.
    Year: 2024

  • Cutting-edge in the green synthesis of MIL-101 (Cr) MOF based on organic and inorganic waste recycling with extraordinary removal for anionic dye
    Authors: BE Keshta, H Yu, L Wang, AH Gemeay
    Year: 2023

  • Advanced lithography materials: From fundamentals to applications
    Authors: Y Zhang, H Yu, L Wang, X Wu, J He, W Huang, C Ouyang, D Chen, et al.
    Year: 2024

  • Recent advances in wet surface tissue adhesive hydrogels for wound treatment
    Authors: A Basit, H Yu, L Wang, MA Uddin, Y Wang, KM Awan, BE Keshta, et al.
    Year: 2024

  • Cost-effective synthesis of MIL-101 (Cr) from recyclable wastes and composite with polyaniline as an ion-to-electron transducer for potentiometric Pb2+ sensing
    Authors: BE Keshta, H Yu, L Wang, MA Uddin, HG El-Attar, AE Keshta, AH Gemeay, et al.
    Year: 2024

  • A state-of-the-art review on green synthesis and modifications of ZnO nanoparticles for organic pollutants decomposition and CO2 conversion
    Authors: ZU Zango, A Garba, FB Shittu, SS Imam, A Haruna, MU Zango, IA Wadi, et al.
    Year: 2025

  • Influence of Synthesis and Functionalization Procedures of Fe3O4 NPs by Mono- and Diamino Silane Coupling Agents on the Adsorption Efficiency of Anionic Dyes
    Authors: BE Keshta, AH Gemeay
    Year: 2022

 

PRATHIBA Gurusamy | Engineering | Women Researcher Award

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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

 

 

Seyed Sepehr Mohseni | Engineering | Best Researcher Award

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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

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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

Guocheng Qin | Engineering | Best Researcher Award

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Mr. Guocheng Qin | Engineering | Best Researcher Award

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

Qin Cheng is a dedicated and innovative civil engineering researcher with a strong focus on integrating advanced digital technologies such as Building Information Modeling (BIM), 3D laser scanning, and Unmanned Aerial Vehicle (UAV) systems into modern construction and infrastructure projects. Born in March 1994, he has consistently demonstrated academic excellence, practical engineering insight, and a deep interest in smart city development and sustainable infrastructure. His work spans across both academic and applied settings, with a particular emphasis on intelligent monitoring systems, reverse modeling, and digital design optimization. He has contributed to various high-profile research initiatives and collaborative international projects, particularly during his tenure as a visiting scholar at the University of Louvain. Qin Cheng has also been actively involved in training graduate students, guiding technical design, and promoting intelligent construction practices. His experience working with institutions such as the Chongqing Leuven Institute of Smart City and Sustainable Development and contributions to international exhibitions like the China Intelligent Industry Expo reflect his ability to bridge academic research with real-world applications. With a clear commitment to advancing civil engineering practices through technology and innovation, Qin Cheng continues to emerge as a promising voice in the field of smart construction and structural engineering.

Professional Profile

Education

Qin Cheng’s academic journey in civil engineering began with a Bachelor of Engineering from Zhengzhou Institute of Technology and Business, where he studied from September 2013 to July 2017. Building on a solid undergraduate foundation, he pursued a Master of Engineering in Civil Engineering with a structural specialization at Chongqing Jiaotong University from September 2017 to July 2020. During his master’s studies, Qin demonstrated exceptional academic and research abilities, further enriching his education through international exposure. Between October 2018 and January 2019, he served as a visiting scholar at the University of Louvain in Belgium, engaging in scholarly exchanges focused on construction waste regeneration and sustainable urban development. This international experience broadened his perspective on global engineering practices and enhanced his research on smart city applications. His academic background is marked by strong technical competence in structural systems, intelligent monitoring, and construction digitization. Through both domestic and international institutions, Qin Cheng has built a strong academic profile grounded in research excellence, multidisciplinary learning, and hands-on application of modern civil engineering technologies.

Professional Experience

Qin Cheng has built a diverse portfolio of professional experience that merges academic research, international collaboration, and field application. One of his notable professional engagements was his time as a visiting scholar at the University of Louvain (October 2018 to January 2019), where he contributed to academic exchanges on sustainable urban development and construction waste regeneration. He also engaged with world-renowned engineering firms such as Jan de Nul Group to explore cutting-edge civil engineering practices. Qin served as a researcher at the Chongqing Leuven Institute of Smart City and Sustainable Development, where he played a key role in conducting technical breakthroughs in forward design, reverse modeling, and intelligent monitoring systems. His responsibilities included training graduate students in architectural information technology, guiding bridge reverse modeling projects in Norway, and participating in major events such as the China International Intelligent Industry Expo. His professional activities emphasize the integration of BIM and 3D technologies into infrastructure development. Through his involvement in large-scale projects such as the Taihong Yangtze River Bridge and the FAW-Volkswagen Digital Factory, Qin has effectively applied his academic expertise to real-world engineering challenges. His career path reflects a commitment to technological innovation, cross-border collaboration, and the advancement of intelligent infrastructure systems.

Research Interests

Qin Cheng’s research interests center on the integration of advanced digital technologies in civil engineering, with a particular focus on intelligent construction and infrastructure management. He is deeply engaged in developing and applying Building Information Modeling (BIM), 3D laser scanning, and UAV technologies to improve the design, monitoring, and maintenance of civil structures. His work explores how digital tools can optimize construction processes, enhance precision in modeling, and support virtual simulations for pre-assembly. Qin is also interested in reverse modeling techniques for complex structures, smart monitoring of bridges and buildings, and the use of point cloud data in structural analysis. His international collaborations have further shaped his interest in sustainable urban development, where he examines how smart technologies can be leveraged to build resilient, efficient cities. Through projects focused on highway management systems, digital curtain wall design, and large-scale bridge construction, he aims to create innovative solutions that address contemporary challenges in civil engineering. Qin’s research embodies a forward-thinking approach that blends theoretical modeling with practical application, striving to make infrastructure safer, more efficient, and more intelligent through continuous technological advancement.

Research Skills

Qin Cheng possesses a robust set of research skills that enable him to address complex challenges in civil and structural engineering through technological innovation. His core competencies include advanced proficiency in Building Information Modeling (BIM) and 3D laser scanning, which he has used extensively for deformation monitoring, digital pre-assembly, and reverse modeling of both buildings and bridges. He is skilled in UAV route planning and tilt photography for site inspections and large-scale mapping, showcasing his adaptability in remote sensing applications. His hands-on experience with point cloud data processing enables him to conduct accurate structural analysis and digital model construction. Qin is also proficient in integrating BIM with IoT systems for smart bridge management, combining sensor data with digital modeling for real-time infrastructure monitoring. In academic and collaborative environments, he has guided graduate students in technical training and project design, demonstrating strong mentorship capabilities. He is comfortable working across international platforms and has presented his work at major conferences. Qin’s methodological rigor, combined with his technical agility, allows him to innovate across design, monitoring, and operational aspects of civil engineering projects. His ability to apply research techniques to practical scenarios is a key strength in his professional and academic career.

Awards and Honors

Throughout his academic and early research career, Qin Cheng has received several prestigious awards and honors that reflect his dedication, excellence, and potential in the field of civil engineering. During his undergraduate studies, he was consistently recognized with merit-based scholarships, including the National Encouragement Scholarship and first-class and second-class academic scholarships. His excellence continued into his postgraduate years at Chongqing Jiaotong University, where he was awarded the Beijing CCCC Road Tong Million Scholarship and the first-class postgraduate scholarship. In 2020, he won the second prize in the “My College Life” competition and the third prize in the “Transportation BIM Engineering Innovation Award” from the China Highway Society. These accolades highlight both his academic achievements and his contributions to engineering innovation. His participation in various international academic events and his role in large-scale national infrastructure projects further affirm his growing reputation in the field. The consistent recognition of his work through these awards underscores his capability to combine theoretical knowledge with practical engineering excellence. These honors are a testament to his talent, perseverance, and impact in advancing intelligent construction technologies and modern infrastructure development.

Conclusion

In conclusion, Qin Cheng emerges as a highly motivated and capable young researcher with a strong foundation in civil engineering and a clear commitment to technological innovation in infrastructure development. His integration of BIM, 3D laser scanning, and UAV systems into design and monitoring processes showcases his forward-thinking approach and alignment with the needs of smart and sustainable urban construction. With a solid academic background, international experience, and a growing body of research publications, he brings both technical expertise and practical insight to the field. Although he currently holds a master’s degree, his trajectory suggests significant potential for further academic advancement and research leadership. He has demonstrated the ability to bridge academic research with real-world engineering applications, making valuable contributions to both scholarly and professional communities. While increasing publication in top-tier journals and engaging in patent development could further enhance his profile, Qin Cheng has already laid a strong foundation for a successful research career. He is a suitable and deserving candidate for recognition in early-stage researcher or emerging researcher award categories and has the capacity to evolve into a leading expert in smart construction and digital civil engineering in the years ahead.

Publications Top Notes

  1. 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

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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






	


	

	






	
	

		


Tursun Mamat | Engineering | Best Researcher Award
			

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Mr. Tursun Mamat | Engineering | Best Researcher Award


Professor from Xinjiang Agriculture University, China




















Dr. Tuerxun Maimaiti is an Associate Professor at Xinjiang Agricultural University in the College of Transportation & Logistics Engineering, specializing in Traffic Engineering and Intelligent Transportation Systems. He serves as the Director of the College Laboratory and the Head of the Engineering Research Center for Intelligent Transportation. His research interests focus on driving behavior, traffic safety, vehicle-road coordination, and the environmental impact of traffic. With a strong academic background, including a Ph.D. in Transport Engineering from Nanjing Agricultural University and experience as a visiting Ph.D. student at Dalhousie University, he combines technical expertise with practical solutions for modern traffic challenges. Dr. Maimaiti is a prolific researcher with numerous published works in the field and leads multiple innovative research projects aimed at improving traffic systems, safety, and environmental sustainability.


Professional Profile



Education


Dr. Tuerxun Maimaiti holds a Ph.D. in Transport Engineering from Nanjing Agricultural University, awarded in 2017. His educational background also includes a Master’s degree in Computer Science from Xinjiang Agricultural University in 2008 and a Bachelor’s degree in Computer Application from Wuhan University in 2000. Additionally, Dr. Maimaiti pursued a visiting Ph.D. in Computer Science at Dalhousie University in 2013, where he expanded his expertise in computational techniques, particularly in the context of transportation systems. His education has equipped him with a strong foundation in both engineering and computer science, allowing him to bridge the gap between traffic engineering and technology.


Professional Experience


Dr. Maimaiti’s professional career spans over two decades, with significant experience in both academic and research settings. He began his academic career as a Teaching Assistant at Xinjiang Agricultural University from 2000 to 2005 before becoming an Associate Professor at the same institution in 2015. He also serves as the Director of the College Laboratory and Head of the Engineering Research Center for Intelligent Transportation. His leadership in these roles has contributed to the development of cutting-edge research and educational programs in the field of transportation engineering. Dr. Maimaiti has also managed several large-scale research projects, demonstrating his ability to combine academic knowledge with practical applications in the transportation sector.


Research Interests


Dr. Maimaiti’s research interests lie in several critical areas within traffic engineering and intelligent transportation systems. His primary focus includes studying driving behavior, road traffic safety, and the environmental impacts of traffic, particularly carbon emissions from urban roads. He has a strong interest in vehicle-road collaboration and its impact on traffic safety and efficiency. Additionally, Dr. Maimaiti explores the potential of digital twin technology in transportation systems and traffic simulations to improve infrastructure management and safety measures. His work aims to integrate ecological driving practices and intelligent transportation technologies to create sustainable, safe, and efficient transportation systems.


Research Skills


Dr. Maimaiti possesses a broad range of research skills that include expertise in traffic simulation, data analysis, and the application of machine learning techniques in transportation systems. He is proficient in using advanced algorithms, including YOLO v5s, for detecting pavement cracks and deep learning models for emission prediction. His research skills also extend to the development of intelligent systems for road maintenance, traffic data mining, and the optimization of toll collection systems. His ability to combine theoretical knowledge with practical applications has enabled him to lead several successful research projects that address both current and future challenges in transportation engineering.


Awards and Honors


While specific awards and honors were not listed in the provided details, Dr. Maimaiti’s impressive academic and professional record suggests that he has made significant contributions to the field of transportation engineering. His leadership in multiple high-profile research projects and the successful application of advanced technologies in real-world transportation systems reflect the recognition he has received from both academic and industry communities. His continued work in intelligent transportation systems and sustainable traffic solutions is likely to attract further recognition and accolades in the near future.


Conclusion


Dr. Tuerxun Maimaiti is an accomplished researcher and academic in the field of Traffic Engineering, with a strong focus on intelligent transportation systems and sustainable traffic management. His research on driving behavior, traffic safety, and vehicle-road collaboration has the potential to significantly impact transportation systems worldwide. Dr. Maimaiti’s expertise in utilizing advanced technologies like deep learning and digital twins enhances the practical application of his research. His extensive professional experience and leadership in large-scale projects further demonstrate his capabilities. While his impact is already notable, expanding his research into broader interdisciplinary areas and increasing the visibility of his work could further elevate his contributions. Overall, Dr. Maimaiti’s work in traffic engineering and intelligent transportation systems makes him a strong candidate for prestigious research awards.












Publications Top Notes


    

  1. Title: Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion
    Authors: Mamat, Tursun; Dolkun, Abdukeram; He, Runchang; Nigat, Zulipapar; Du, Hanchen
    Journal: Journal of Advanced Transportation
    Year: 2025
    2. 



























	


	

	






	
	

		


YILIN LI | Chemical Engineering | Best Researcher Award
			

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Dr. YILIN LI | Chemical Engineering | Best Researcher Award


Senior scientist from Heilongjiang Feihe Dairy Co., Ltd, China




















Dr. Yilin Li is a highly accomplished researcher specializing in food sensory science with nearly 7 years of experience in both academic and commercial settings. Currently, she serves as the Sensory Lead at Heilongjiang Feihe Dairy Co., Ltd in China, where her work integrates consumer sensory testing techniques to guide research and development in new product creation. Additionally, Dr. Li has contributed significantly to the application of molecular sensory technology, developing quantitative models to monitor flavor compounds in milk powder during its shelf life. Her research has been widely recognized in the field, and her scientific contributions have been published in prestigious journals such as the Journal of Food Science and Food Chemistry. As a committee member of the Sensory Quality and Consumer Insights Standardization Technical Committee and the National Sensory Analysis Standardization Technical Committee, Dr. Li also plays an instrumental role in shaping industry standards.


Her research interests primarily focus on sensory evaluation, flavor perception, and consumer preferences, specifically in relation to food products such as chocolate and milk-based goods. Dr. Li’s work has profound implications for the food industry, where she bridges the gap between scientific discovery and commercial product development.


Professional Profile



Education


Dr. Yilin Li’s educational background reflects a strong foundation in sensory science and food technology. She holds a Ph.D. with research focusing on the impact of nutrient addition on the sensory and oral flavor perception of chocolate by consumers. This research explored how different ingredients in chocolate affect the consumer’s flavor experience, offering valuable insights into how food formulations can be improved to align with consumer preferences.


In addition to her Ph.D., Dr. Li completed her Master’s degree with a specialization in Microencapsulation and Sensory Science. Her education has equipped her with the scientific expertise needed to pursue innovative research in the areas of food sensory science, consumer behavior, and food quality. Her academic training has also led to substantial contributions to the understanding of sensory dynamics in the food industry, particularly regarding how storage conditions and ingredient modifications affect food perceptions.


Dr. Li’s advanced studies, coupled with her practical industry experience, enable her to approach research with a well-rounded perspective, combining theoretical knowledge with hands-on application.


Professional Experience


Dr. Yilin Li has nearly 7 years of professional experience in food sensory science research and 3 years of commercial practice in the sensory science field. She currently holds the position of Sensory Lead at Heilongjiang Feihe Dairy Co., Ltd in China. In this role, she is responsible for overseeing the sensory evaluation of food products, guiding the R&D department in creating new products based on consumer sensory feedback. Dr. Li applies advanced sensory testing techniques to ensure that the flavors, textures, and overall consumer preferences of products meet industry standards.


Her commercial experience also includes the application of molecular sensory technology, where she developed a quantitative model for the flavor compounds in milk powder during its shelf life. This model has had significant practical implications, helping the quality control department at Feihe Dairy maintain product consistency and quality over time.


Dr. Li’s research has always focused on bridging the gap between academic research and real-world commercial application, demonstrating her ability to contribute to both the scientific community and the food industry in meaningful ways.


Research Interests


Dr. Yilin Li’s research interests are centered on sensory science, with a specific focus on consumer preferences and the perception of food flavors. Her work investigates how sensory factors such as taste, smell, and texture affect the consumer experience of food products. One of her key research areas is exploring how different ingredients and nutrient additions can alter the flavor perception of chocolate, a project that has applications in the formulation of better-tasting, more consumer-friendly products.


In addition to chocolate, Dr. Li’s work extends to other food products, including infant formula and milk-based powders. She has conducted extensive research on the sensory evaluation of long-term storage conditions for products such as vacuum-packed corn and infant formula, monitoring how volatile compounds and flavor profiles evolve during storage.


By applying molecular sensory technology, Dr. Li’s research explores how to better predict and control the sensory quality of food over time, with a particular interest in developing models that can be used in both industrial and consumer-facing applications. Her research bridges the gap between food science and consumer behavior, focusing on creating products that align with consumer expectations and preferences.


Research Skills


Dr. Yilin Li possesses advanced research skills in sensory science, consumer behavior analysis, and food quality evaluation. Her expertise includes designing and conducting sensory tests to assess consumer preferences and product acceptability, particularly in the context of flavor and texture. She is proficient in using molecular sensory technology to monitor volatile compounds and flavor changes in food products over time, applying these methods to improve product quality and consistency.


Her ability to integrate both qualitative and quantitative approaches to sensory evaluation allows her to develop predictive models for food flavor compounds, which have been successfully applied in commercial settings. Additionally, Dr. Li is skilled in utilizing techniques such as gas chromatography-olfactometry-mass spectrometry (GC-O-MS) for sensory evaluation, providing detailed insights into the sensory drivers of consumer preferences.


Dr. Li also has a solid foundation in scientific writing and publishing, having authored several articles in high-impact journals. Her research skills extend beyond technical expertise to include leadership and collaboration, particularly in her work with standardization committees that shape the practices and guidelines of sensory science.


Awards and Honors


Dr. Yilin Li has earned recognition in both the academic and commercial sectors for her contributions to food sensory science. Her work has been published in top-tier journals, where it has garnered attention for its innovative approach to sensory evaluation and its impact on food product development. Dr. Li’s commitment to advancing the field has been recognized by her involvement in several key standardization committees, including the Sensory Quality and Consumer Insights Standardization Technical Committee and the National Sensory Analysis Standardization Technical Committee (SAC/TC566).


These roles have not only enhanced her leadership within the industry but also showcased her dedication to improving the standards of sensory science. While specific awards and honors are not listed, her active participation in shaping sensory science practices and her contributions to product development at Feihe Dairy further highlight her recognition within the field.


Conclusion


Dr. Yilin Li stands out as a leading figure in food sensory science, combining a robust academic background with practical, industry-driven research. Her work, which spans both academic theory and commercial application, has made a lasting impact on food product development, particularly in the areas of sensory evaluation, flavor perception, and consumer preferences. Through her innovative use of molecular sensory technology and her contributions to the development of predictive models for food quality, Dr. Li has significantly advanced the understanding of how sensory factors affect food enjoyment. Her leadership roles in industry-standardization committees further emphasize her influence in shaping the future of sensory science practices. While her work is already highly impactful, there is potential for Dr. Li to expand her research scope and enhance collaboration with interdisciplinary teams to further advance the field. Overall, Dr. Li’s dedication to improving both the scientific understanding and commercial applications of sensory science makes her an outstanding candidate for the Best Researcher Award.












Publications Top Notes


    

  1. 

    Title: Organic Functional Groups and Their Substitution Sites in Natural Flavonoids: A Review on Their Contributions to Antioxidant, Anti‐Inflammatory, and Analgesic Capabilities
    Journal: Food Science & Nutrition
    Year: 2025
    DOI: 10.1002/fsn3.70191
    Authors: Jingxian An, Zhipeng Zhang, Anwen Jin, Muqiu Tan, Shilong Jiang, Yilin Li
    

    2. 

  2. 

    Title: Sensory Insights in Aging: Exploring the Impact on Improving Dietary Through Sensory Enhancement
    Journal: Food Science & Nutrition
    Year: 2025
    DOI: 10.1002/fsn3.70074
    Authors: Yilin Li, Shuying Wang, Lanxin Zhang, Qianhui Dong, Xinyu Hu, Yuxin Yang, Ting Liu, Baopei Wu, Bingqi Shan, Chuncao Yin et al.
    

    3. 

  3. 

    Title: Changes of the Volatile Compounds and Odors in One-Stage and Three-Stage Infant Formulas During Their Secondary Shelf-Life
    Journal: Current Research in Food Science
    Year: 2024
    DOI: 10.1016/j.crfs.2024.100693
    Authors: Yilin Li, Ruotong Li, Xinyu Hu, Jiani Liu, Guirong Liu, Lipeng Gao, Yongjiu Zhang, Houyin Wang, Baoqing Zhu
    

    4. 

  4. 

    Title: Monitoring Volatile Changes in Infant Formula During Long-Term Storage at Room Temperature
    Journal: Current Research in Food Science
    Year: 2023
    DOI: 10.1016/j.crfs.2023.100645
    Authors: Yilin Li, Houyin Wang, Ruotong Li, Guirong Liu, Kui Zhong, Lipeng Gao, Baoqing Zhu, Anwen Jin, Bolin Shi, Lei Zhao et al.
    

    5. 

  5. 

    Title: Oral Processing Preference Affects Flavor Perception in Dark Chocolate with Added Ingredients
    Journal: Journal of Food Science
    Year: 2021
    DOI: 10.1111/1750-3841.15557
    Authors: Yilin Li, Bryony James
    

    6. 





















	


	

	






	
	

		


Esteban Denecken | Engineering | Best Researcher Award
			

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Dr. Esteban Denecken | Engineering | Best Researcher Award


Researcher from University of Los Andes, Chile




















Esteban Jorge Denecken Campaña is a dedicated researcher and electrical engineer specializing in medical image processing and advanced magnetic resonance imaging (MRI) techniques. With a strong background in electrical engineering and ongoing doctoral studies, he has established a clear trajectory in biomedical imaging and computational analysis. His work centers on the development of novel methods for the simultaneous acquisition of water, fat, and velocity imaging using phase-contrast MRI. He has contributed to multiple peer-reviewed journals and has presented at prestigious international conferences including ISMRM. Esteban has collaborated with prominent institutions such as the University of Wisconsin–Madison, where he worked with the Quantitative Body MRI team. His expertise lies at the intersection of image processing, signal acquisition, and algorithmic development for clinical and biological applications. Esteban has also contributed to innovation in image analysis of biological materials and has actively supported undergraduate research and academic mentorship. His professional journey reflects both academic excellence and practical innovation. With solid experience in both academia and industry, he combines technical precision with a creative approach to engineering challenges, particularly in healthcare technologies. His participation in innovation programs and cross-disciplinary research showcases his commitment to translating scientific discovery into practical, impactful solutions.


Professional Profile



Education


Esteban Jorge Denecken Campaña holds a robust academic foundation in electrical engineering and biomedical image processing. He earned both his Bachelor’s and Professional Degree in Civil Electrical Engineering from Universidad de Los Andes in 2015. Currently, he is pursuing a Doctorate in Engineering Sciences with a specialization in Electrical Engineering at Pontificia Universidad Católica de Chile, where his doctoral research focuses on the development of advanced MRI techniques for simultaneous imaging of water, fat, and flow velocity. He has also enhanced his expertise through specialized training, including a Biomedical Imaging course at Northeastern University and practical EEG-fMRI training conducted at Clínica Las Condes. Additionally, Esteban completed the Innovation Academy program at Universidad de Los Andes, where he acquired valuable knowledge in innovation management, intellectual property protection, and science communication. His academic path demonstrates a balanced integration of theoretical knowledge and applied research in electrical engineering, with an increasing focus on medical and biological imaging. His academic excellence is complemented by a commitment to continual learning, evidenced by language training at the University of California, Davis, and participation in multiple research-related technical courses. His educational background positions him as a capable and well-rounded researcher in biomedical engineering.


Professional Experience


Esteban Denecken’s professional experience spans research engineering, doctoral research, and technical innovation within academia and industry. He is currently working as a Research Engineer at the School of Engineering, Universidad de Los Andes, where he develops image processing algorithms for analyzing biological samples, including paletted rich fibrin and microglial cells. As part of his doctoral research at Pontificia Universidad Católica de Chile, he has developed advanced techniques for MRI data acquisition, contributing significantly to the field of simultaneous imaging of biological structures and functions. He also completed a prestigious research internship at the University of Wisconsin–Madison, where he collaborated with leading experts in quantitative MRI. Earlier in his career, Esteban served as an Assistant Scientist at the Advanced Center of Electrical and Electronic Engineering (AC3E), where he enhanced algorithms for displaying HDR content on standard screens. His experience also includes working as a Frontend Developer for Falabella Financiero, where he contributed to the development of digital platforms for credit services in Latin America. Esteban has held roles supporting undergraduate education and research and has served as a teacher assistant for various engineering subjects. His broad professional experience reflects a dynamic balance between academic research, software development, and technical mentorship.


Research Interests


Esteban Denecken’s research interests lie at the intersection of electrical engineering, medical imaging, and computational analysis. His primary focus is the development of novel MRI techniques, specifically aimed at the simultaneous acquisition of water, fat, and velocity imaging. This work enhances the diagnostic capabilities of MRI in clinical settings, particularly in cardiovascular and metabolic imaging. He is also deeply engaged in image processing techniques for analyzing the structural and functional properties of biological tissues. His research addresses challenges in respiratory gating, porosity analysis, and segmentation of microglial cells—topics that are critical in both clinical diagnostics and biomedical research. Esteban is particularly interested in leveraging signal processing, machine learning, and computational modeling to improve the accuracy and efficiency of image-based diagnostics. His interdisciplinary approach involves collaboration with experts in radiology, biomedical engineering, and computer vision. Through his research, Esteban seeks to bridge the gap between engineering innovation and healthcare application, contributing to advances in personalized medicine and non-invasive diagnostics. He continues to explore how computational tools can enhance imaging resolution, data interpretation, and automation in clinical workflows, highlighting his commitment to impactful, translational research in biomedical technology.


Research Skills


Esteban Denecken possesses a wide range of research skills, particularly in medical imaging, signal processing, and algorithm development. His technical proficiency includes the design and implementation of MRI-based techniques for simultaneous imaging of multiple parameters such as water, fat, and blood velocity. He has extensive experience with 4D flow MRI and respiratory gating, which are essential for capturing dynamic physiological processes. Esteban is skilled in biomedical image processing, including tissue segmentation, porosity analysis, and quantitative imaging. He is adept at developing custom algorithms for analyzing both structural and functional aspects of biological materials, using tools such as MATLAB and Python. His research contributions extend to high-impact journal publications and presentations at top-tier international conferences. Additionally, Esteban is experienced in interdisciplinary collaboration, having worked alongside radiologists, physicists, and engineers during his internship at the University of Wisconsin–Madison. He has also mentored undergraduate students, providing guidance in thesis work related to computer vision and image analysis. His ability to communicate complex technical concepts, combined with practical software development experience, further enhances his research effectiveness. Overall, Esteban demonstrates a rare combination of scientific rigor, software engineering capabilities, and collaborative agility.


Awards and Honors


While Esteban Denecken’s formal awards and honors are not explicitly listed, his academic and professional trajectory includes multiple indicators of distinction and recognition. His selection for a competitive internship at the University of Wisconsin–Madison, under the mentorship of renowned radiology expert Dr. Diego Hernando, reflects a high level of international recognition. Participation in leading international conferences such as ISMRM, where he has consistently presented his work since 2021, also underscores the academic community’s acknowledgment of his contributions. His doctoral research at Pontificia Universidad Católica de Chile, one of the most prestigious institutions in Latin America, further attests to his scholarly capabilities and potential. Additionally, Esteban’s role as a mentor to undergraduate thesis students and as a research engineer at Universidad de Los Andes shows that he is entrusted with responsibilities that reflect institutional confidence in his expertise and leadership. Through these roles and invitations to high-level collaborative projects, Esteban has positioned himself as a rising figure in the field of biomedical engineering. His consistent involvement in innovative academic initiatives, such as the Innovation Academy at UANDES, reinforces his proactive engagement in research and innovation ecosystems.


Conclusion


Esteban Jorge Denecken Campaña is a highly promising researcher with a focused expertise in medical image processing and electrical engineering. His academic foundation, hands-on research in advanced MRI techniques, and collaboration with leading international institutions demonstrate a strong alignment with the criteria of a Best Researcher Award. He has contributed to multiple peer-reviewed publications and regularly participates in global scientific forums, reflecting both scholarly productivity and engagement with the research community. His skills in biomedical imaging, algorithm development, and interdisciplinary collaboration are significant strengths that enhance the impact of his work. While he could further benefit from more visible international awards or patents to supplement his growing publication record, his current achievements clearly position him as a valuable asset to the research and academic community. Esteban’s innovative mindset, academic dedication, and technical expertise make him a strong contender for recognition as a best researcher. His work not only advances scientific understanding but also holds practical value in clinical diagnostics and health technologies. Therefore, he is well-suited for consideration for the Best Researcher Award and has the potential to make significant contributions to his field in the coming years.


Publications Top Notes


1. Simultaneous Acquisition of Water, Fat, and Velocity Images Using a Phase‐Contrast T2‐IDEAL Method*​


    

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    Authors: Esteban Denecken, Cristóbal Arrieta, Julio Sotelo, Hernán Mella, Sergio Uribe
    

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    Year: 2025
    

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2. Simultaneous Acquisition of Water, Fat, and Velocity Images Using a Phase‐Contrast 3p‐Dixon Method​


    

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    Authors: Esteban Denecken, Cristóbal Arrieta, Diego Hernando, Julio Sotelo, Hernán Mella, Sergio Uribe
    

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    Year: 2025​
    

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3. Impact of Respiratory Gating on Hemodynamic Parameters from 4D Flow MRI​


    

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    Authors: Esteban Denecken, Julio Sotelo, Cristobal Arrieta, Marcelo E. Andia, Sergio Uribe
    

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    Year: 2022
    

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Leila Omidi | Engineering | Best Researcher Award
			

				Posted on  by ScienceFather			

		
	


	

		
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


    

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

      

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      Authors: Ghaljahi Maryam, Omidi Leila, Karimi Ali
      

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      Year: 2025
      

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

      

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

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      Year: 2025
      

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      Citations: 3
      

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

      

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      Authors: Ghaljahi Maryam, Omidi Leila, Karimi Ali
      

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      Year: 2024
      

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      Citations: 1
      

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