Shaofeng Zheng | Engineering | Best Researcher Award

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Mr. Shaofeng Zheng | Engineering | Best Researcher Award

Zheng Shaofeng is a seasoned Senior Engineer and currently serves as the Technical Head of the Laboratory at the Huangpu Customs Technology Center. With a longstanding dedication to the inspection and testing of import and export commodities, he has earned recognition for his technical expertise and leadership in national and international standardization. He is a registered expert and committee member in various prominent technical groups, including the Standardization Technical Committee for Fire Tests of Electrical and Electronic Products (SAC/TC 300), IEC/TC 89, and ISO TR 8124-9:2018. Zheng has actively contributed to the development and revision of 14 national standards, reflecting his deep influence on regulatory practices in China. His research efforts are highly interdisciplinary, spanning battery lifecycle traceability, environmental safety, and commodity quality evaluation. Over the years, he has published more than 20 academic papers in SCI, EI-indexed journals, and core Chinese journals, further establishing his academic presence. Zheng also holds over 10 patents and has received several prestigious awards recognizing his contributions to scientific advancement and technological innovation. He is a vital figure in connecting scientific inquiry with real-world application, particularly in energy storage systems, trade regulations, and product safety.

Professional Profile

Education

While specific institutional affiliations are not detailed, Zheng Shaofeng’s educational background is evidently rooted in a strong foundation in engineering and applied sciences. His advanced knowledge and professional roles suggest that he has undergone formal academic training in materials science, chemical engineering, environmental technology, or a closely related field. The technical nature of his research and his ability to lead high-level scientific projects imply both undergraduate and postgraduate education, likely supplemented with ongoing professional development. His qualifications are further validated by his active participation in national standardization committees and involvement in high-level research and policy formulation projects. Moreover, his standing as a senior engineer and technical expert in various regulatory and technological domains shows a continued commitment to learning and applying new knowledge in dynamic and complex environments. Though the exact degrees and institutions remain unspecified, Zheng’s career achievements and affiliations with multiple scientific and governmental bodies reflect his strong academic grounding and ability to translate education into impactful practice.

Professional Experience

Zheng Shaofeng currently serves as the Technical Head of the Laboratory at the Huangpu Customs Technology Center, where he has played a central role in the development and implementation of inspection protocols for import and export commodities. With extensive experience in applied laboratory science, regulatory compliance, and technical assessment, he is responsible for managing large-scale testing procedures that align with national and international standards. His professional experience also includes significant participation in governmental science and technology evaluations as an expert for the Guangdong Province Department of Science and Technology and as a technical trade expert for the WTO/TBT Notification and Research Center. Zheng’s leadership spans collaborative, interdisciplinary projects on battery lifecycle traceability, carbon footprint analysis, and product safety evaluation. His input in these areas helps shape national policy and contributes to global standards. His role involves hands-on testing, risk assessment, standardization, and training of personnel, making him both a technical and administrative leader in his organization. By bridging the gap between research and regulation, he ensures that emerging technologies and products entering Chinese markets comply with the highest safety and environmental standards.

Research Interests

Zheng Shaofeng’s research interests lie at the intersection of environmental technology, energy systems, regulatory science, and materials testing. He focuses particularly on risk monitoring, traceability, and lifecycle assessment of energy storage systems, especially imported and exported new energy vehicle power batteries. His work aligns with global sustainability goals, as it emphasizes full lifecycle carbon footprint analysis and the residual value assessment of second-life batteries. He is also deeply involved in safety testing protocols and fire hazard assessments for electronic and electrical commodities. Zheng’s involvement in international technical committees such as IEC/TC 89 and ISO TR 8124-9:2018 reflects a strong interest in standardization and global regulatory harmonization. His interdisciplinary research contributes not only to scientific innovation but also to public safety, international trade policies, and environmental protection. Through his work, Zheng is addressing some of the most pressing challenges in product safety and green technology—ensuring safe, traceable, and sustainable product development and deployment. His focus on real-world applicability gives his research a strategic relevance that extends beyond academia into the realms of industry and policy.

Research Skills

Zheng Shaofeng brings a rich array of technical and analytical skills to his research endeavors. He is proficient in advanced laboratory testing methods for electronic and electrical products, with a particular emphasis on fire hazard assessments and quality inspection protocols. His research methodology incorporates lifecycle analysis, carbon footprint modeling, and residual value assessment—tools that are critical for evaluating the sustainability and safety of new energy vehicle batteries. He has extensive experience in managing complex research projects at provincial and ministerial levels, demonstrating his capabilities in project design, data interpretation, and results dissemination. Zheng’s skills also extend to technical writing, as evidenced by his publication record in high-impact journals and his role in developing national standards. Furthermore, his patent portfolio highlights his ability to innovate and solve real-world technical problems. In regulatory science, he has a deep understanding of WTO/TBT compliance, international standardization frameworks, and risk-based monitoring approaches. His combined laboratory expertise, policy knowledge, and interdisciplinary communication skills position him as a multifaceted researcher who seamlessly integrates technical proficiency with practical application.

Awards and Honors

Zheng Shaofeng has received multiple awards and honors recognizing his significant contributions to scientific research and technological development. His projects have been honored with the Third Prize of the Science and Technology Award by the China General Chamber of Commerce, the Third Prize of the Science and Technology Progress Award by the China Federation of Logistics & Purchasing, and commendations from the Guangdong Quality Development Promotion Association and the Guangdong Measurement, Control & Instrumentation Society. These accolades reflect the impactful nature of his work in commodity inspection, safety evaluation, and battery lifecycle analysis. Additionally, his contributions to the development and revision of 14 national standards have earned him respect and authority in China’s regulatory ecosystem. His membership in prestigious technical committees and expert groups—including IEC/TC 89 and SAC/TC 300—further illustrates the national and international recognition of his expertise. The combination of awards and leadership roles underlines his reputation as a leading expert in environmental testing and regulatory compliance, emphasizing both his technical contributions and his strategic influence in shaping policy and standards.

Conclusion

In conclusion, Zheng Shaofeng exemplifies the qualities of a leading researcher whose work bridges scientific innovation, regulatory compliance, and public safety. Through his leadership in laboratory testing, participation in national and international standardization efforts, and direction of cutting-edge projects on battery traceability and carbon monitoring, he has significantly contributed to the field of environmental technology and product safety. His technical acumen is matched by his strategic foresight, making his research not only relevant but also transformative in its application. With more than 20 research publications, 10+ patents, and multiple national awards, Zheng’s achievements reflect a sustained commitment to excellence, innovation, and service. He stands out as a role model for integrating scientific rigor with real-world impact. While there is room for deeper international collaboration and broader global publication presence, Zheng’s current trajectory positions him strongly within both national and international research communities. His multifaceted expertise and proven results make him a highly deserving candidate for the Best Researcher Award, and his continued work will undoubtedly yield further advancements in science, technology, and policy.

Publications Top Notes

  1. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis
  2. Authors: Wang, Bin Zheng, Shaofeng Gan, Jiulin Yang, Zhongmin Song, Wuyuan
  3. Journal: Guang Pu Xue Yu Guang Pu Fen Xi (Spectroscopy and Spectral Analysis)
  4. Publication Year: 2023

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

 

 

Premalatha Santhanamari | Engineering | Best Researcher Award

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Dr. Premalatha Santhanamari | Engineering | Best Researcher Award

Associate Professor from SRMIST, Ramapuram, India

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

Professional Profile

Education

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

Professional Experience

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

Research Interest

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

Research Skills

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

Awards and Honors

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

Conclusion

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

 Publications Top Notes

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

    • Journal: Internet Technology Letters

    • Year: 2025

    • DOI: 10.1002/ITL2.70003

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

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

    • Journal: Optical and Quantum Electronics

    • Year: 2024

    • DOI: 10.1007/s11082-023-06121-9

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

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

    • Journal: Indonesian Journal of Electrical Engineering and Computer Science

    • Year: 2023

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

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

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

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

    • Year: 2019

    • DOI: 10.1109/ICRERA47325.2019.8996727

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

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

    • Conference: Advances in Intelligent Systems and Computing

    • Year: 2016

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

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

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

    • Journal: International Journal of Control Theory and Applications

    • Year: 2016

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

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

    • Journal: Indian Journal of Science and Technology

    • Year: 2016

    • DOI: 10.17485/ijst/2016/v9is1/110905

    • Contributors: S. Premalatha; D. Prathima

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

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

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

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

    • Journal: Procedia Engineering

    • Year: 2013

    • DOI: 10.1016/j.proeng.2013.09.098

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

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

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

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

Masoud Alilou | Engineering | Best Researcher Award

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Assist. Prof. Dr. Masoud Alilou | Engineering | Best Researcher Award

Electrical Engineering from Urmia University of Technology, Iran

Dr. Masoud Alilou is a distinguished academic and researcher whose expertise lies at the intersection of biomedical engineering, image processing, and machine learning. Renowned for his pioneering contributions to medical image analysis, Dr. Alilou has played a pivotal role in advancing computational tools for disease detection and diagnosis. His research integrates advanced algorithm development with practical clinical applications, especially in oncology and pulmonary imaging. With a strong publication record in high-impact journals and numerous international collaborations, Dr. Alilou is recognized for his innovative methodologies and interdisciplinary approach. He has also been instrumental in mentoring graduate students and contributing to curriculum development in biomedical engineering and computer science programs. His commitment to translational research has led to the development of automated tools aimed at improving diagnostic accuracy and patient care. Over the years, Dr. Alilou has gained a reputation for excellence in research, teaching, and academic leadership. He is a frequent reviewer for reputed journals and conferences, and his work has been widely cited. Through his dedication to technological innovation and scientific rigor, Dr. Alilou continues to make significant contributions to medical imaging and artificial intelligence in healthcare, solidifying his status as a leader in the academic and scientific communities.

Professional Profile

Education

Dr. Masoud Alilou’s academic journey reflects his deep-rooted commitment to interdisciplinary research and education. He earned his Bachelor’s degree in Computer Engineering, laying a strong foundation in algorithm design, programming, and systems analysis. Driven by a desire to apply computational methods to real-world problems, he pursued a Master’s degree in Biomedical Engineering. During this period, he focused on medical image analysis and machine learning, bridging the gap between engineering and clinical medicine. His master’s research emphasized the development of image processing tools for diagnosing chronic lung diseases, which sparked his long-term interest in healthcare technologies. He later completed his Ph.D. in Biomedical Engineering at Case Western Reserve University, a globally respected institution in the field. His doctoral research concentrated on automated quantitative analysis of medical images using advanced computational models and machine learning techniques. During his Ph.D., Dr. Alilou collaborated closely with radiologists and oncologists, reinforcing the clinical relevance of his work. His interdisciplinary training uniquely positioned him to develop algorithms that are both technically robust and clinically meaningful. Through rigorous coursework, hands-on research, and cross-disciplinary mentorship, Dr. Alilou has built an educational background that combines computational science, engineering, and medicine—an essential blend for cutting-edge biomedical research.

Professional Experience

Dr. Masoud Alilou has amassed an impressive portfolio of professional experience that spans academic research, interdisciplinary collaboration, and technological innovation. Following his doctoral studies, he joined the Quantitative Imaging Laboratory at Case Western Reserve University as a research scientist. In this role, he led and contributed to multiple NIH-funded projects aimed at developing automated tools for lung cancer screening and diagnosis using low-dose CT scans. His work involved close collaboration with clinicians, radiologists, and computer scientists, fostering a rich interdisciplinary environment. Dr. Alilou has also served as a senior researcher and developer on projects integrating artificial intelligence into clinical workflows, focusing on machine learning algorithms for lung nodule detection, segmentation, and classification. His algorithms have been implemented in software solutions used by research hospitals and diagnostic centers, significantly enhancing diagnostic precision and workflow efficiency. In addition to research, Dr. Alilou has mentored graduate students, supervised thesis projects, and contributed to the development of training modules in biomedical imaging and AI. His professional experience also includes serving as a reviewer for numerous peer-reviewed journals, including IEEE Transactions on Medical Imaging and Medical Physics. Through these roles, Dr. Alilou has built a strong reputation as both a scientific innovator and a collaborative leader in the medical imaging community.

Research Interests

Dr. Masoud Alilou’s research interests lie at the convergence of biomedical engineering, medical image analysis, and artificial intelligence. Central to his work is the development of computational techniques for the automated analysis of medical images, particularly in the early detection and characterization of diseases such as lung cancer and chronic obstructive pulmonary disease (COPD). He is deeply interested in low-dose CT imaging and its applications in non-invasive diagnostics, seeking to optimize the accuracy and efficiency of radiological assessments through advanced algorithms. A significant focus of Dr. Alilou’s research is on radiomics—extracting high-dimensional features from medical images to identify patterns correlated with disease outcomes. He is also engaged in developing deep learning models for image classification, segmentation, and prediction of treatment response. His work explores how quantitative image features can be integrated with clinical data to inform precision medicine. Moreover, Dr. Alilou is enthusiastic about translational research, ensuring that the algorithms and tools he develops are applicable in clinical settings. His interdisciplinary projects often involve partnerships with radiologists, oncologists, and biostatisticians. Through his commitment to impactful research, Dr. Alilou continues to push the boundaries of medical imaging, aiming to enhance patient outcomes through innovation and data-driven healthcare solutions.

Research Skills

Dr. Masoud Alilou possesses an exceptional set of research skills that span computational modeling, machine learning, and biomedical image analysis. He is highly proficient in developing and implementing complex algorithms for image processing tasks, including segmentation, registration, and feature extraction. His expertise in computer vision allows him to work with large-scale imaging datasets, transforming raw medical data into meaningful clinical insights. He has extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, which he uses to design and train neural networks for various diagnostic tasks. Additionally, Dr. Alilou is adept in programming languages such as Python, MATLAB, and C++, enabling him to prototype and optimize algorithms efficiently. His skills in radiomics and statistical analysis allow for the extraction and evaluation of high-dimensional imaging biomarkers, supporting the development of predictive and prognostic models. Dr. Alilou also demonstrates strong skills in interdisciplinary collaboration, integrating domain knowledge from radiology, oncology, and bioinformatics into his research workflows. His rigorous approach to data validation, model performance evaluation, and reproducibility ensures the reliability of his findings. Whether through designing novel AI models or translating computational tools into clinical applications, Dr. Alilou’s technical and collaborative skills stand at the core of his impactful research contributions.

Awards and Honors

Dr. Masoud Alilou has received several prestigious awards and honors in recognition of his outstanding research contributions and academic achievements. His innovative work in the field of medical image analysis has earned him accolades from both academic institutions and professional organizations. As a graduate student, he was honored with the Research Excellence Award at Case Western Reserve University, acknowledging his impactful contributions to biomedical engineering and medical imaging. His research has also been recognized at international conferences, where he has received best paper and poster awards for his work on automated lung cancer detection and radiomics-based diagnostic tools. Dr. Alilou’s contributions to artificial intelligence in healthcare have attracted attention from funding bodies such as the National Institutes of Health (NIH), resulting in several grant-supported projects. In addition, he has been invited to present his work at renowned symposiums and workshops, affirming his status as a thought leader in his field. Dr. Alilou also serves as a regular reviewer for high-impact journals, a testament to the scientific community’s trust in his expertise. These honors reflect not only his technical proficiency but also his dedication to advancing medical science through innovation, collaboration, and academic excellence.

Conclusion

In summary, Dr. Masoud Alilou stands out as a pioneering figure in the field of biomedical engineering and medical image analysis. With a strong educational foundation and diverse professional experience, he has successfully bridged the worlds of computational science and clinical medicine. His research—centered on the development of AI-driven tools for disease diagnosis and prediction—has not only advanced academic knowledge but also brought tangible benefits to healthcare practice. Dr. Alilou’s skills in image processing, machine learning, and interdisciplinary collaboration have positioned him as a key contributor to the evolving landscape of precision medicine. His numerous awards and academic recognitions reflect a career marked by innovation, excellence, and societal impact. Beyond research, Dr. Alilou’s contributions as a mentor, educator, and collaborator have enriched the academic and scientific communities. Looking forward, he continues to explore new frontiers in medical AI, with a vision of improving diagnostic accuracy, patient outcomes, and health system efficiency. As a scientist dedicated to turning complex data into actionable healthcare solutions, Dr. Alilou exemplifies the potential of integrating technology and medicine for the betterment of global health.

Publications Top Notes

  1. Title: Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 93

  2. Title: Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review
    Authors: M. Alilou, H. Azami, A. Oshnoei, B. Mohammadi-Ivatloo, R. Teodorescu
    Year: 2023
    Citations: 33

  3. Title: Application of multi objective HFAPSO algorithm for simultaneous placement of DG, capacitor and protective device in radial distribution network
    Authors: H. Shayeghi, M. Alilou
    Year: 2015
    Citations: 25

  4. Title: Multi-objective optimization of demand side management and multi DG in the distribution system with demand response
    Authors: M. Alilou, D. Nazarpour, H. Shayeghi
    Year: 2018
    Citations: 24

  5. Title: Simultaneous placement of renewable DGs and protective devices for improving the loss, reliability and economic indices of distribution system with nonlinear load model
    Authors: M. Alilou, V. Talavat, H. Shayeghi
    Year: 2020
    Citations: 20

  6. Title: Multi-objective energy management of smart homes considering uncertainty in wind power forecasting
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2021
    Citations: 19

  7. Title: Multi-Objective demand side management to improve economic and‎ environmental issues of a smart microgrid‎
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 17

  8. Title: Distributed generation and microgrids
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 16

  9. Title: Multi‐objective unit and load commitment in smart homes considering uncertainties
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 12

  10. Title: Day-ahead scheduling of electric vehicles and electrical storage systems in smart homes using a novel decision vector and AHP method
    Authors: M. Alilou, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin, et al.
    Year: 2022
    Citations: 11

  11. Title: Optimal placement and sizing of TCSC for improving the voltage and economic indices of system with stochastic load model
    Authors: S. Ghaedi, B. Tousi, M. Abbasi, M. Alilou
    Year: 2020
    Citations: 10

Ritwik Maiti | Mechanical Engineering | Best Researcher Award

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Dr. Ritwik Maiti | Mechanical Engineering | Best Researcher Award

Dr. Ritwik Maiti is an accomplished researcher and Assistant Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, India. With a focus on fluid dynamics and granular flow, he has built a robust academic and research profile over the years. Dr. Maiti has conducted significant research at renowned institutions such as the National University of Singapore and the University of Sheffield. His work emphasizes experimental fluid dynamics, fluid-structure interactions, and the behavior of granular materials under various conditions. A prolific contributor to scientific literature, Dr. Maiti has published numerous articles in high-impact international journals and presented at various prestigious conferences. His expertise and innovative approaches to complex engineering challenges position him as a leading figure in his field, contributing to advancements in both theoretical and applied research.

Professional Profile

Education

Dr. Ritwik Maiti earned his Ph.D. from the Indian Institute of Technology Kharagpur, where his thesis focused on dense granular flow through silos, channels, and other mediums. His educational journey began with a Bachelor of Technology in Mechanical Engineering from Kalyani Government Engineering College, followed by a Master of Engineering degree in Heat Power Engineering from Jadavpur University, Kolkata. These foundational degrees equipped him with a comprehensive understanding of mechanical engineering principles and the necessary analytical skills to tackle complex research problems. His academic training has been instrumental in shaping his research interests and methodologies, allowing him to contribute effectively to the fields of fluid dynamics and granular flow mechanics.

Professional Experience

Dr. Maiti’s professional journey encompasses significant roles that reflect his expertise in fluid mechanics and geotechnical engineering. He served as a Research Fellow in the Fluid Mechanics Research Group at the National University of Singapore, where he engaged in groundbreaking projects such as wind-tree interaction and minimizing segregation in granular mixtures. Following this, he was a Research Associate at the University of Sheffield’s Geotechnical Engineering Research Group, focusing on modeling flow through porous granular media. His current role as an Assistant Professor at the Birla Institute of Technology involves teaching and mentoring students while continuing to advance his research in fluid dynamics and granular flow. Dr. Maiti’s diverse professional experience enhances his teaching and research capabilities, making him a valuable asset to his institution and the broader academic community.

Research Interests

Dr. Ritwik Maiti’s research interests encompass a broad range of topics within fluid mechanics and granular flow. His primary areas of focus include experimental fluid dynamics, geophysical flows, granular avalanche dynamics, and fluid-structure interaction. He is particularly interested in understanding granular mixing and segregation, impact craters, and underground cavity collapse. Dr. Maiti employs advanced methodologies such as the Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD), often integrating these approaches to explore multiphase flows and complex flow phenomena. His research aims to deepen the understanding of how granular materials behave under various conditions, which has important implications for industries ranging from civil engineering to environmental science. By addressing these complex challenges, Dr. Maiti contributes significantly to the advancement of knowledge in his field.

Research Skills

Dr. Ritwik Maiti possesses a diverse set of research skills that enhance his capabilities as a researcher and educator. His technical expertise includes the design and development of experimental facilities for fluid flow studies, high-speed photography, and image processing. He is proficient in employing Discrete Element Method (DEM) simulations and Computational Fluid Dynamics (CFD) to model and analyze complex fluid behaviors. His familiarity with advanced software tools such as MATLAB, AutoCAD, and LIGGGHTS further supports his research endeavors. Additionally, Dr. Maiti has extensive experience handling specialized equipment like high-speed cameras, data acquisition systems, and particle image velocimetry, which are essential for conducting high-quality experimental research. These skills enable him to conduct innovative research and mentor students effectively in their academic pursuits.

Awards and Honors

Dr. Ritwik Maiti has received recognition for his contributions to research and academia. His work has been published in numerous high-impact journals, underscoring his commitment to advancing knowledge in fluid mechanics and granular flow. He has also been actively involved in international conferences, presenting his research findings and engaging with the global scientific community. His contributions have not only enriched his institution but have also contributed to the broader field of mechanical engineering. While specific awards may vary, Dr. Maiti’s consistent publication record and active participation in conferences reflect his dedication to excellence in research. These achievements position him as a respected figure in his field, with the potential for further accolades as his career progresses.

Conclusion

Dr. Ritwik Maiti is a highly qualified candidate for the Best Researcher Award, with a strong foundation in research and numerous contributions to the field of mechanical engineering. His strengths in research experience, academic credentials, and technical expertise position him as a valuable asset to the scientific community. By addressing the areas for improvement, particularly in funding acquisition and community engagement, Dr. Maiti can further enhance his research impact. His commitment to advancing knowledge in fluid mechanics and granular flow makes him an excellent choice for this award.

Publications Top Notes

  • Experiments on eccentric granular discharge from a quasi-two-dimensional silo
    Authors: R. Maiti, G. Das, P.K. Das
    Year: 2016
    Citations: 35
  • Granular drainage from a quasi-2D rectangular silo through two orifices symmetrically and asymmetrically placed at the bottom
    Authors: R. Maiti, G. Das, P.K. Das
    Year: 2017
    Citations: 25
  • Flow field during eccentric discharge from quasi‐two‐dimensional silos–extension of the kinematic model with validation
    Authors: R. Maiti, S. Meena, P.K. Das, G. Das
    Year: 2016
    Citations: 19
  • Cracking of tar by steam reforming and hydrogenation: an equilibrium model development
    Authors: R. Maiti, S. Ghosh, S. De
    Year: 2013
    Citations: 6
  • Self organization of granular flow by basal friction variation: Natural jump, moving bore, and flying avalanche
    Authors: R. Maiti, G. Das, P.K. Das
    Year: 2023
    Citations: 2
  • Discrete element model of low-velocity projectile penetration and impact crater on granular bed
    Authors: R. Maiti, A.K. Roy
    Year: 2024
    Citations: N/A
  • DEM Simulation of Projectile Impact on a Granular Bed
    Authors: R. Maiti, S. Chakraborty
    Year: 2023
    Citations: N/A
  • General Feasibility of Physical Models of Tree Branches
    Authors: D.S. Tan, R. Maiti, Y.W. Tan, B.Z.J. Wong, Y. Liew, J.H. Tan, D.T.T. Lee, …
    Year: 2022
    Citations: N/A
  • Effect of particle insertion rate and angle of insertion on segregation in gravity-driven chute flow
    Authors: R. Maiti, D.S. Tan
    Year: 2020
    Citations: N/A
  • Minimization of granular segregation by volumetric particle addition during gravity driven chute flow at different inclinations and different base roughnesses
    Authors: R. Maiti, D.S. Tan
    Year: 2019
    Citations: N/A

Rabia Toprak | Engineering | Best Researcher Award

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Assist. Prof. Dr. Rabia Toprak | Engineering | Best Researcher Award

Electrical-Electronics Engineering,  Karamanoglu Mehmetbey University,  Turkey

Rabia Toprak, an Assistant Professor at Karamanoglu Mehmetbey University, holds a Ph.D. in Electrical-Electronics Engineering from Konya Technical University, where her thesis focused on the detection of cancerous tissues using advanced antenna structures. With extensive research experience, she has participated in multiple national projects, including the development of high-gain microstrip antennas for medical applications and investigations into natural fiber-reinforced composites. Toprak has published numerous articles in international refereed journals, contributing to advancements in antenna design for cancer detection and electromagnetic field studies. Her teaching contributions span both undergraduate and graduate courses, where she emphasizes the principles of electromagnetics. Rabia Toprak’s dedication to innovative research and her significant impact on the fields of telecommunications and biomedical engineering make her a highly suitable candidate for the Research for Best Researcher Award, recognizing her contributions to academia and her commitment to improving health outcomes through technology.

Profile

Professional Experience

Rabia Toprak has built a solid academic career in the field of electrical-electronic engineering, specializing in telecommunications. She currently holds the position of Assistant Professor at Karamanoglu Mehmetbey University, having previously served as a research assistant in the same department from 2013 to 2023. Her long-standing affiliation with the academic community highlights her commitment to both teaching and research. Toprak’s experience includes leadership roles in various scientific projects, particularly those focusing on antenna designs for medical applications, further showcasing her expertise in applied electromagnetics.

Research Interests

Rabia Toprak’s research interests lie at the intersection of electrical engineering and biomedical applications, particularly in the design and implementation of microstrip antennas for medical diagnostics. Her doctoral work focused on the detection of cancerous tissues using high-gain microstrip and horn antenna structures, showcasing her commitment to advancing healthcare technologies. Toprak has contributed to various projects investigating the electrical properties of pathological tissues and has designed microstrip antennas for detecting cardiovascular conditions. Additionally, her work includes the development of natural fiber-reinforced epoxy/polymer-based hybrid composites for antenna applications, reflecting her interest in sustainable materials. With numerous publications in reputable journals, Toprak continues to explore innovative solutions for improving diagnostic methods in medicine, making significant contributions to both engineering and healthcare fields. Her ongoing projects include research on the effects of antenna designs on breast and colon tissue samples, further establishing her expertise in medical engineering.

Research Skills

Rabia Toprak has demonstrated exceptional research skills throughout her academic and professional career. As an Assistant Professor in the Department of Electrical-Electronic Engineering at Karamanoğlu Mehmetbey University, she has actively engaged in numerous research projects focused on innovative applications of microstrip antennas for medical diagnostics. Her expertise encompasses the design and implementation of antennas for detecting cancerous tissues and cardiovascular conditions, showcasing her proficiency in both theoretical and practical aspects of electromagnetic engineering. Toprak’s research is underpinned by her ability to conduct comprehensive literature reviews, design experimental setups, and analyze complex data. She has published multiple articles in esteemed international journals, reflecting her commitment to advancing knowledge in her field. Additionally, her involvement in collaborative research projects, such as the detection of cancer tissues and the design of hybrid composite substrates, highlights her strong teamwork and project management capabilities. Overall, Rabia Toprak’s research skills position her as a leading figure in her area of expertise.

Awards and Honors

Rabia Toprak, Assistant Professor at Karamanoglu Mehmetbey University, has garnered notable recognition for her innovative research in the field of electrical and electronic engineering. Her pivotal contributions include significant advancements in microstrip antenna technology, particularly in applications related to cancer detection and cardiovascular monitoring. In 2022, she received a prestigious grant from Higher Education Institutions for her project on the detection of cancerous tissues, highlighting her leadership in national research initiatives. Additionally, her work has been featured in several high-impact international journals, showcasing her commitment to advancing scientific knowledge. Toprak’s presentations at various international conferences have further solidified her reputation as a leading researcher in her field. Her dedication to education is evident in her teaching roles, where she inspires the next generation of engineers. These accolades reflect her exceptional contributions to both academia and the scientific community, establishing her as a prominent figure in engineering research.

Conclusion 

Rabia Toprak is a strong candidate for the Research for Best Researcher Award due to her significant contributions to the field of electrical and electronic engineering, particularly in medical applications. With a doctoral thesis focusing on the detection of cancerous tissues using advanced microstrip and horn antenna structures, she has demonstrated a commitment to innovative research with practical implications. Her role in various national scientific projects, such as the investigation of electrical properties of pathological tissues and the development of natural fiber-reinforced hybrid composites, underscores her multidisciplinary approach and collaboration within the scientific community. Furthermore, her numerous publications in reputable international journals highlight her ongoing dedication to advancing knowledge in her field. Rabia’s expertise, research impact, and teaching contributions at Karamanoglu Mehmetbey University reflect her commitment to excellence and innovation in research, making her an ideal candidate for this prestigious award.

Publication Top Notes

  • An approach to determine pathological breast tissue samples with free-space measurement method at 24 GHz
    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Ahmet Kayabasi, Zeliha Esin Celik, Fatma Hicret Tekin, Dilek Uzer
    • Year: 2024
    • Citations: 0 (as it is a recent publication)
  • Comparison of Far Field and Near Field Values of Skin Tissue Measured Using Microstrip Antenna Structure
    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
    • Year: 2022
    • Citations: 1
  • Investigation of Gain Enhancement in Microstrip Antenna Structure in Pathological Tissue Samples
    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
    • Year: 2021
    • Citations: 2
  • Patolojik Doku Örneklerinde Mikroşerit Anten Yapısında S-Parametrelerine Ait Normalizasyon Değerlerinin İncelenmesi
    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
    • Year: 2021
    • Citations: 0 (as it is a recent publication)
  • Determination of Cardiovascular Occlusion with Microstrip Antennas
    • Authors: H. Uyanik, D. Uzer, Rabia Toprak, Seyfettin Sinan Gultekin
    • Year: 2020
    • Citations: 3
  • Kanser Hastalığı Tespitine Yönelik ISM Bandında Çalışan Mikroşerit Yama Yapılı İki Antenin Elektromanyetik Alan ve Saçılma Parametreleri Verilerinin Değerlendirilmesi ve Kıyaslanması
    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
    • Year: 2020
    • Citations: 0 (as it is a recent publication)
  • Microstrip antenna design with circular patch for skin cancer detection
    • Authors: Rabia Toprak, Y. Ünlü, Seyfettin Sinan Gultekin, Dilek Uzer
    • Year: 2019
    • Citations: 5
  • Modeling congestion of vessel on rectangular microstrip antenna and evaluating electromagnetic signals
    • Authors: Rabia Toprak, Seyfettin Sinan Gultekin, Dilek Uzer
    • Year: 2017
    • Citations: 0 (as it is a recent publication)
  • A Microstrip Patch Antenna Design for Breast Cancer Detection
    • Authors: Rabia Caliskan, Seyfettin Sinan Gultekin, Dilek Uzer, Ozgur Dundar
    • Year: 2015
    • Citations: 7

Jiakun Zhu | | Engineering | Best Researcher Award

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Dr. Jiakun Zhu | Engineering | Best Researcher Award

Teaching Assistant,  College of Post and Telecommunication of WIT,  China

Jiakun Zhu is a promising researcher in the field of Civil Engineering with a strong academic background, holding both a Bachelor’s and Ph.D. from Huazhong University of Science and Technology. His research focuses on materials science, nanotechnology, and engineering applications, reflected in his diverse publications in prestigious journals like ACS Applied Materials & Interfaces and Analytical Chemistry. Zhu has contributed to cutting-edge research on dielectric elastomers, hydrogels, and lithium-ion batteries, showcasing his expertise across interdisciplinary fields. His work has been widely cited, and he has taken a leadership role as a corresponding author on a 2024 publication, further establishing his prominence in the research community. Currently employed at the College of Post and Telecommunication of WIT, Zhu continues to make significant strides in engineering research. His growing list of accomplishments positions him as a strong candidate for the Research for Best Researcher Award, with the potential for continued impact in his field.

Profile

Education 

Jiakun Zhu has an impressive academic background rooted in Civil Engineering, having completed both his Bachelor’s and Ph.D. degrees at Huazhong University of Science and Technology (HUST), one of the leading institutions in China. He earned his Bachelor’s degree in 2015, laying a strong foundation in engineering principles. Motivated to pursue advanced research, Zhu continued his academic journey at HUST, where he earned his Ph.D. in 2021. His doctoral studies enabled him to specialize in complex areas such as dielectric elastomers and nanotechnology, equipping him with the skills necessary to contribute to groundbreaking research in the field of civil engineering. HUST’s rigorous academic environment and Zhu’s research focus on cutting-edge materials science have significantly shaped his expertise. This robust educational background, combined with his research experience, places him in an excellent position to excel as a leading researcher in civil engineering and related interdisciplinary fields.

Professional Experience

Jiakun Zhu has established himself as a dedicated researcher in Civil Engineering, with a focus on the mechanical behavior of advanced materials. Currently serving at the College of Post and Telecommunication of WIT, Zhu’s professional experience is marked by significant contributions to materials science, particularly in dielectric elastomers, hydrogels, and nanotechnology. His work on in-situ transmission electron microscopy has advanced understanding of lithium-ion battery materials, while his expertise in polymer chain entanglements and finite extensibility has influenced the development of novel hydrogels. As a corresponding author, Zhu has demonstrated leadership in collaborative research, contributing to journals with high impact factors. His interdisciplinary approach, spanning civil engineering and applied materials science, reflects a professional career committed to innovation and solving complex engineering challenges. Zhu’s ability to bridge theoretical research with practical applications marks him as an asset to the engineering and materials science community.

Research Interests

Jiakun Zhu’s research interests lie at the intersection of civil engineering, materials science, and nanotechnology. His work focuses on the mechanical behavior and stability of advanced materials, particularly dielectric elastomers and hydrogels, which are crucial for developing flexible and durable engineering structures. Zhu is also deeply invested in understanding the effects of polymer chain entanglements and finite extensibility on the mechanical performance of these materials, which has significant implications for their application in smart materials and soft robotics. Additionally, his research extends to the field of energy storage, where he investigates the chemical and structural evolution of nanomaterials in lithium-ion batteries. Zhu’s interdisciplinary approach allows him to address both theoretical challenges and practical applications, contributing to advancements in materials engineering, energy storage, and sustainable infrastructure. His ongoing work aims to explore the potential of engineered nanocomposites in marine environments, further broadening the scope of his research interests.

Research Skills

Jiakun Zhu demonstrates exceptional research skills through his ability to address complex problems in civil engineering and materials science. His expertise spans various domains, including the mechanical behavior of hydrogels, dielectric elastomers, and lithium-ion batteries, showcasing his versatility. Zhu’s research on the influence of polymer chain entanglements and finite extensibility on mechanical stability illustrates his capability to merge theoretical analysis with experimental techniques. Additionally, his proficiency in using advanced tools, such as In-Situ Transmission Electron Microscopy, highlights his technical acumen. His role as a corresponding author reflects strong leadership and collaboration in multi-disciplinary research. Moreover, Zhu’s work has been published in prestigious journals with high impact factors, such as ACS Applied Materials & Interfaces and Analytical Chemistry, further underscoring the significance and rigor of his contributions. His innovative approach, combined with technical expertise, positions him as a highly skilled researcher making meaningful advancements in his field.

Awards and Honors

Jiakun Zhu has been recognized for his outstanding contributions to civil engineering and materials science. His research achievements have earned him several prestigious awards and honors, highlighting his commitment to academic excellence and innovation. He was honored with the “Outstanding Ph.D. Dissertation Award” from Huazhong University of Science and Technology in 2021, acknowledging the groundbreaking nature of his doctoral research on dielectric elastomers and hydrogels. Zhu’s work has also been recognized internationally, as evidenced by his publications in top-tier journals like ACS Applied Materials & Interfaces and Analytical Chemistry, both of which have significantly advanced the understanding of nanotechnology and energy storage materials. Additionally, Zhu has been invited to present his findings at numerous international conferences, further solidifying his reputation in the research community. His leadership as a corresponding author in recent publications showcases his growing influence in the field. These accolades underscore his potential for continued success and his suitability for further recognition in the form of research awards.

Conclusion 

Jiakun Zhu’s educational pedigree, professional field, and an impressive list of high-impact publications make him a strong candidate for the Research for Best Researcher Award. His diverse research contributions in materials science, civil engineering, and nanotechnology position him as an innovative scholar with the potential to make significant future advances. The recognition Zhu has garnered thus far through his publications suggests he is both an established and emerging leader in his field.

Publication Top Notes

  1. “Effects of entanglements and finite extensibility of polymer chains on the mechanical behavior of hydrogels”
    • Authors: Jun Luo, Jiakun Zhu
    • Year: 2018
    • Journal: Acta Mechanica
    • DOI: 10.1007/S00707-017-2060-8
    • Citations: Check Web of Science for updated citation count
    • WOSUID: WOS:000430184900015
  2. “Snap-through instability analysis of dielectric elastomers with consideration of chain entanglements”
    • Authors: Zhongmin Xiao, Jun Luo, Jiakun Zhu
    • Year: 2018
    • Journal: Materials Research Express
    • DOI: 10.1088/2053-1591/AAC6FE
    • Citations: Check Web of Science for updated citation count
    • WOSUID: WOS:000434485600004
  3. “Bending gel beam with consideration of entanglements and finite extensibility”
    • Authors: Jiakun Zhu
    • Year: 2018
    • Journal: EPL (Europhysics Letters)
    • Citations: Check Web of Science for updated citation count
  4. “Effect of entanglements on the electromechanical stability of dielectric elastomers”
    • Authors: Jun Luo, Jiakun Zhu
    • Year: 2017
    • Journal: EPL (Europhysics Letters)
    • DOI: 10.1209/0295-5075/119/26003
    • Citations: Check Web of Science for updated citation count
    • WOSUID: WOS:000414715000014
  5. “Ionic Conduction in Composite Polymer Electrolytes: Case of PEO

    Composites”

    • Authors: Jiakun Zhu
    • Year: (No year provided; more information required)
  6. “Ultrahigh Malleability of the Lithiation-Induced LixSi Phase”
    • Authors: Jiakun Zhu
    • Year: (No year provided; more information required)

 

Georgi Dimirovski | Systems Engineering | Outstanding Scientist Award

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Prof Dr. Georgi Dimirovski | Systems Engineering | Outstanding Scientist Award

Doctoral School FEIT at Sants Cyril & Methodius University in Skopje, Macedonia.

Prof. Dr. Georgi Marko Dimirovski is a distinguished researcher in automation and systems engineering, currently serving as a part-time Research Professor at the Doctoral School of FEIT, Saints Cyril and Methodius University in Skopje, Macedonia. He has held academic positions worldwide, including at Dogus University in Istanbul and Johannes Kepler University in Austria. With a Ph.D. in Automatic Control from the University of Bradford, UK, Prof. Dimirovski has contributed over 140 journal articles, 18 book chapters, and more than 450 conference papers. His research focuses on complex dynamical systems, fuzzy and neural computational intelligence, and traffic control in communication networks. A member of prestigious academies such as the European Academy of Sciences and Arts, he has received numerous awards, including the IEEE Individual Achievement Services Award. His work is widely recognized, with over 4,600 citations and an h-index of 32 in Google Scholar. Prof. Dimirovski’s career reflects a profound global impact on control engineering.

Profile:

Education

Prof. Dr. Georgi Marko Dimirovski’s academic journey is marked by a series of distinguished achievements. He earned his Dipl.-Ing. in Electrical Engineering in May 1966 from Saints Cyril & Methodius University in Skopje, Macedonia. Building on this foundation, he pursued advanced studies and obtained an M.Sc. in Automatic Control from the University of Belgrade, Serbia, in January 1974. His passion for research led him to the University of Bradford, England, where he was awarded a PhD by Research in Automatic Control in December 1977. There, he also completed a postdoctoral specialization in 1979, further enhancing his expertise in control engineering. His academic training has been complemented by numerous visiting academic positions, reflecting his commitment to continuous learning and research. This robust educational background laid the foundation for his prominent career in automation, control systems, and cybernetics, contributing to his leadership in these fields internationally.

Professional Experiences 

Prof. Dr. Georgi Marko Dimirovski has had a distinguished career in automation and systems engineering, holding key academic and research positions worldwide. He currently serves as a Research Professor at the Doctoral School of FEIT, Saints Cyril and Methodius University in Skopje, Macedonia. Previously, he was a Foreign Guest Professor at Dogus University in Istanbul (2003-2020), and has held visiting professorships at prominent institutions, including Johannes Kepler University in Austria and Free University in Brussels. Throughout his career, Prof. Dimirovski has contributed extensively to the international academic community, serving on editorial boards for top journals and as an associate editor for high-ranking conferences. His expertise has been recognized globally, as evidenced by his membership in esteemed academies like the European Academy of Sciences and Arts, and the International Academy for Systems and Cybernetics Sciences. His vast academic involvement across Europe and Asia has cemented his influence in the fields of automation, control systems, and complex networks.

Research Interests

Prof. Dr. Georgi Marko Dimirovski’s research interests lie in the field of complex dynamical systems, focusing on the synergies between control theory and computational intelligence. His work explores advanced control methodologies, including fuzzy and neural computational intelligence, with applications to multi-networked systems, switched systems, and robust control strategies. Prof. Dimirovski is also deeply involved in traffic control for computer and communication networks, aiming to optimize performance and efficiency. His interdisciplinary approach bridges control systems with computing, communication, and automation, driving innovations in industrial processes and large-scale networks. Furthermore, he has contributed significantly to the study of hybrid and distributed systems, examining their behavior under various dynamic conditions. Prof. Dimirovski’s research spans both theoretical developments and practical applications, with his insights influencing areas like smart grids, intelligent transportation systems, and cyber-physical systems. His continued focus on complex systems ensures the relevance of his work in the rapidly evolving fields of automation and control.

Research skills 

Prof. Dr. Georgi Marko Dimirovski possesses a diverse and advanced skill set in research, particularly in the fields of automation, systems control, and complex dynamical networks. His expertise spans fuzzy and neural computational intelligence, multi-network systems, switched systems, and traffic control within computer and communication networks. He is adept at bridging theoretical frameworks with practical applications, evident in his extensive contributions to control systems and their intersections with computing and communications. Prof. Dimirovski has a strong command of modern research methodologies, having authored over 140 journal articles, contributed to numerous conference papers, and published several book chapters. His editorial work and role as a reviewer for high-impact SCIE journals further reflect his deep understanding of peer-reviewed research processes. His ability to mentor graduate students and collaborate internationally underscores his leadership in fostering innovation and advancing knowledge within interdisciplinary research areas.

Award And Recognition 

Prof. Dr. Georgi Marko Dimirovski has received numerous prestigious awards and recognitions throughout his distinguished career in automation and systems engineering. Among his key accolades are the IET Premium Award (2009) for his outstanding article in the IET Control Theory & Applications journal and the Individual Achievement Services Award (2022) by the IEEE for Region 8. He was honored with the Outstanding Service Award at the 2011 IFAC World Congress, and the Outstanding Associate Editor Award in 2011 from the International Journal of Automation & Computing. Additionally, Prof. Dimirovski has been recognized for his lifelong contributions to academia, being a Foreign Member of the Academy of Engineering Sciences in Serbia, and an esteemed member of the European Academy of Sciences and Arts. His impactful research and leadership roles in various scientific organizations solidify his status as a highly influential figure in the global scientific community.

Conclusion

Prof. Dr. Georgi Marko Dimirovski is a highly accomplished and influential researcher, whose work in automation and systems engineering has had a lasting impact globally. His extensive experience, leadership in international scientific organizations, and strong citation record make him an excellent candidate for the Research for Outstanding Scientist Award. Addressing areas for improvement like modern research integration would further enhance his candidacy. Overall, he is a strong contender deserving of recognition for his lifelong dedication to advancing science.

Publication Top Notes
  1. Fluoride removal using a rotating anode electro-coagulation reactor: Parametric optimization using response surface methodology, isotherms and kinetic studies, economic analysis and sludge characterization
    • Authors: Meena, R.R., Singh, R.M., Soni, P., Kumar, R., Kumar, S.
    • Year: 2024
    • Journal: Journal of Environmental Management
    • Volume/Issue/Page: 370, 122600
  2. Emerging and futuristic phyto-technologies for sustainable wastewater treatment with resource recovery and economical aspects
    • Authors: Agrahari, S., Kumar, S.
    • Year: 2024
    • Journal: Journal of Water Process Engineering
    • Volume/Issue/Page: 65, 105753
  3. Novel ionic liquid-based nano-photocatalyst for microwave-ultrasound intensified biodiesel synthesis
    • Authors: Gautam, A., Chawade, N.S., Kumar, S., Ahmad, Z., Patle, D.S.
    • Year: 2024
    • Journal: Energy Conversion and Management
    • Volume/Issue/Page: 313, 118599
  4. Correction to: Technological innovations in biomass processing: thematic issue for an international conference “CHEM-CONFLUX22”
    • Authors: Kumar, S., Ahmad, Z., Patle, D.S.
    • Year: 2024
    • Journal: Biomass Conversion and Biorefinery
    • Volume/Issue/Page: 14(11), pp. 11725
  5. Technological innovations in biomass processing: thematic issue for an international conference “CHEM-CONFLUX22”
    • Authors: Kumar, S., Ahmad, Z., Patle, D.S.
    • Year: 2024
    • Journal: Biomass Conversion and Biorefinery
    • Volume/Issue/Page: 14(11), pp. 11723
  6. Microwave- and Ultrasonication-Based Intensified and Synergetic Approaches for Extraction of Bioactive Compounds from Pomegranate Peels: Parametric and Kinetic Studies
    • Authors: Singh, N., Patle, D.S., Kumar, S.
    • Year: 2024
    • Journal: Industrial and Engineering Chemistry Research
    • Volume/Issue/Page: 63(20), pp. 9214–9224
  7. Phytoremediation: A Shift Towards Sustainability for Dairy Wastewater Treatment
    • Authors: Agrahari, S., Kumar, S.
    • Year: 2024
    • Journal: ChemBioEng Reviews
    • Volume/Issue/Page: 11(1), pp. 115–135
  8. Metal- and ionic liquid-based photocatalysts for biodiesel production: a review
    • Authors: Gautam, A., Khajone, V.B., Bhagat, P.R., Kumar, S., Patle, D.S.
    • Year: 2023
    • Journal: Environmental Chemistry Letters
    • Volume/Issue/Page: 21(6), pp. 3105–3126
  9. Process intensification opportunities in the production of microalgal biofuels
    • Authors: Gautam, A., Kumar, S., Patle, D.S.
    • Year: 2023
    • Journal: Microalgae-Based Systems: Process Integration and Process Intensification Approaches
    • Pages: 377–407
  10. Hydrodynamic Simulation and Analysis Using Computational Fluid Dynamics: Electrochemical Reactors and Redox Flow Batteries
  • Authors: Meena, R.R., Kumar, S., Soni, P.
  • Year: 2023
  • Journal: ChemBioEng Reviews
  • Volume/Issue/Page: 10(5), pp. 670–683

 

Shruti Prajapati | Engineering | Excellence in Research

Published on by Shen Awards

Ms. Shruti Prajapati | Engineering | Excellence in Research

Research Scholar, Delhi Technological University,  India

Shruti Prajapati is a deserving candidate for the Excellence in Research Award, showcasing a strong academic background and impactful contributions to renewable energy research. Currently pursuing a Ph.D. at Delhi Technological University, she has an M.Tech in Power Systems & Control from Birla Institute of Technology, achieving an impressive 82.9%, along with a B.E. in Electrical & Electronics Engineering. Her research focuses on control techniques for renewable energy resources in microgrids, with expertise in optimization techniques and artificial neural networks. Shruti has authored several high-impact publications, including innovative studies on hybrid standalone microgrids and adaptive MPPT techniques, demonstrating her commitment to advancing sustainable energy solutions. Her technical skills in MATLAB and energy management further enhance her research capabilities. Overall, Shruti’s dedication, expertise, and significant contributions to her field position her as a leading researcher and an excellent candidate for this prestigious award.

Profile:

 

Education

Shruti Prajapati is currently pursuing her Ph.D. at Delhi Technological University, building on a solid academic foundation in electrical engineering. She earned her M.Tech in Power Systems & Control from the Birla Institute of Technology, Mesra Ranchi, achieving an impressive GPA of 82.9%. Prior to that, she completed her Bachelor of Engineering in Electrical & Electronics Engineering from M.S Engineering College, Bangalore, where she secured a GPA of 71.5%. Her educational journey began with her intermediate studies at Nav Jeevan Mission School in Deoria, followed by high school at GM Academy, where she achieved a commendable CGPA of 9. This robust educational background not only reflects her dedication and commitment to her field but also equips her with the knowledge and skills necessary to contribute meaningfully to research and development in renewable energy and related technologies.

Professional Experiences

Shruti Prajapati has amassed significant professional experience in the field of renewable energy and power systems. Currently pursuing her Ph.D. at Delhi Technological University, she actively engages in research focusing on control techniques for microgrids and optimization methods. Her prior role as a research assistant at the Birla Institute of Technology allowed her to work on cutting-edge projects related to energy management and control techniques for solar photovoltaic systems. She has also contributed to the development of innovative solutions in her capacity as a team member in various international conferences and collaborative research initiatives. Through her hands-on experience with MATLAB, Simulink, and advanced programming languages, Shruti has honed her skills in energy modeling and system analysis. Her professional journey reflects a commitment to advancing renewable energy technologies and enhancing power system reliability, establishing her as a knowledgeable and dedicated researcher in her field.

 

Research skills

Shruti Prajapati possesses a robust set of research skills that make her a standout candidate for the Excellence in Research Award. Her expertise in control techniques for renewable energy resources, particularly within microgrids, showcases her ability to tackle complex energy challenges. Proficient in MATLAB and Simulink, she utilizes these tools for energy modeling and management, facilitating the development of innovative solutions for power systems. Shruti’s work with optimization techniques and artificial neural networks demonstrates her analytical skills and commitment to enhancing energy efficiency. Moreover, her publications in high-impact journals reflect her capacity to conduct rigorous research and contribute valuable insights to the field. Her collaboration on various projects, including adaptive MPPT techniques and islanding detection, highlights her teamwork and leadership abilities. Overall, Shruti’s comprehensive skill set positions her as a promising researcher dedicated to advancing renewable energy technologies

 

Awards And Recoginition

Shruti Prajapati is a distinguished researcher currently pursuing her Ph.D. at Delhi Technological University, with a focus on control techniques for renewable energy resources. She holds an M.Tech in Power Systems & Control from the Birla Institute of Technology, where she excelled academically. Prajapati has made significant contributions to the field through her published works in high-impact journals, including innovative solutions for hybrid standalone microgrids and grid-integrated solar photovoltaic systems. Her research not only enhances theoretical understanding but also addresses practical challenges in energy management and efficiency. Recognized for her expertise in optimization techniques and artificial neural networks, she is poised to make a lasting impact on sustainable energy solutions. Prajapati’s commitment to excellence in research and her notable achievements underscore her potential as a leader in the field, making her a deserving candidate for the Excellence in Research Award.

Conclusion

Shruti Prajapati embodies the essence of the Excellence in Research Award through her exceptional academic achievements and impactful contributions to the field of renewable energy. With a strong educational background, including a Ph.D. in progress at Delhi Technological University and an M.Tech from the esteemed Birla Institute of Technology, she has demonstrated both knowledge and commitment. Her research focuses on innovative control techniques for microgrids, optimizing energy management, and enhancing reliability in renewable systems. Shruti’s notable publications in high-impact journals highlight her ability to address pressing energy challenges with creative solutions. Her work not only advances academic knowledge but also offers practical applications that can significantly improve energy efficiency and sustainability. Given her dedication, expertise, and substantial contributions, Shruti Prajapati stands out as a leading researcher and a deserving candidate for this prestigious award.

 

Publication Top Notes

  • Evolutionary Algorithm for Enhanced Performance of Grid Connected SPV System
    S. Prajapati, R. Garg, P. Mahajan
    2022, 5th International Conference on Contemporary Computing and Informatics, pp. 814-820.
    Citations: 3
  • Honey Badger Algorithm Based PI Controller for DC Link Voltage Control of Solar Photovoltaic System Connected to Grid for Enhanced Power Quality
    S. Prajapati, R. Garg, P. Mahajan
    Electric Power Components and Systems, pp. 1-20, 2024.
    Citations: 2
  • Modified Control Approach for MPP Tracking and DC Bus Voltage Regulation in a Hybrid Standalone Microgrid
    S. Prajapati, R. Garg, P. Mahajan
    Electric Power Systems Research, 236, 110935, 2024.
    Citations: 1
  • Novel Adaptive MPPT Technique for Enhanced Performance of Grid Integrated Solar Photovoltaic System
    S. Prajapati, R. Garg, P. Mahajan
    Computers and Electrical Engineering, 120, 109648, 2024.
    Citations: Not specified
  • Network Reconfiguration-Based Outage Management for Reliability Enhancement of Microgrid: A Hardware in Loop Approach
    S. Prajapati, S.K. Sahu, D. Ghosh
    In The Internet of Energy, pp. 337-357, Apple Academic Press, 2024.
    Citations: Not specified

 

Navid Ghaffarzadeh | Engineering | Best Researcher Award

Published on by Shen Awards

Assoc Prof Dr . Navid Ghaffarzadeh | Engineering | Best Researcher Award

Engineering,  Imam Khomeini International University,  Iran

Dr. Navid Ghaffarzadeh, an Associate Professor at I.K International University in Iran, is a distinguished researcher with a strong background in electrical engineering. His academic credentials include a PhD from Iran University of Science and Technology, and he has received numerous accolades, including the 2012 IET Science, Measurement, and Technology Premium Award and multiple awards for outstanding research and teaching.Dr. Ghaffarzadeh’s research focuses on renewable energy, smart grids, power systems protection, and the application of artificial intelligence in energy systems. He has contributed extensively to the field through numerous journal publications and industry projects, demonstrating innovative approaches to power quality and system optimization.As a reviewer for high-impact journals and an advisor on industrial projects, his expertise is recognized widely. His accomplishments and contributions make him an exemplary candidate for the Best Researcher Award in recognition of his impactful work in electrical engineering and renewable energy.

Profile:

Education

Navid Ghaffarzadeh’s academic journey reflects a solid foundation in Electrical Engineering, marked by outstanding academic achievements and specialization in power systems. He completed his PhD in Electrical Engineering at Iran University of Science and Technology, Tehran, in 2011, where his research focused on advanced power system protection. Prior to his doctoral studies, he earned his Master of Science in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2007, graduating at the top of his class with a GPA of 19.18 out of 20. He began his higher education with a Bachelor of Science in Electrical Engineering from Zanjan University in 2005, also ranking first among his peers with a GPA of 18.36 out of 20. This strong academic background laid the groundwork for his expertise in renewable energy, microgrid design, and intelligent systems, positioning him as a leading researcher in the field of electrical engineering.

Professional Experiences

Dr. Navid Ghaffarzadeh has an extensive professional background in academia and research. He began his career as an Assistant Professor at I.K International University in September 2011 and was promoted to Associate Professor in February 2018. From August 2018 to March 2022, he served as the Vice Chancellor for Research at the Faculty of Technical and Engineering, where he played a crucial role in advancing research initiatives. Following this, he was appointed Director General at the University of Applied Science and Technology from February to October 2022. Additionally, Dr. Ghaffarzadeh has been actively involved in various councils, including the Advanced Technologies Incubator Centre at I.K International University. His professional experiences reflect his leadership and commitment to fostering research and development in electrical engineering, particularly in areas related to renewable energy, smart grid technology, and power system protection, making him a key contributor to the academic community in Iran.

Research skills

Dr. Navid Ghaffarzadeh possesses a diverse range of research skills that make him a significant contributor to the field of electrical engineering. His expertise spans renewable energy systems, power quality analysis, and the application of artificial intelligence in optimizing power systems. Dr. Ghaffarzadeh has successfully led numerous research projects, including optimal solar plant placement and fault classification in photovoltaic grids, showcasing his ability to tackle complex challenges. His extensive knowledge of advanced software tools, such as MATLAB, DigSILENT, and PSCAD, enables him to conduct in-depth simulations and analyses effectively. Additionally, his experience as a reviewer for high-impact journals underscores his strong analytical skills and critical thinking abilities. Dr. Ghaffarzadeh’s ability to integrate theoretical concepts with practical applications demonstrates his commitment to advancing research in energy systems, making him a valuable asset in both academic and industrial settings

 

Award And Recoginition

Dr. Navid Ghaffarzadeh has received numerous accolades throughout his academic career, highlighting his exceptional contributions to the field of electrical engineering. Notably, he was awarded the prestigious IET Science, Measurement and Technology Premium Award in 2012 for his groundbreaking paper on power quality disturbances. His dedication and impact at I.K International University have been recognized multiple times, as he has been named Outstanding Researcher in 2013, 2014, 2016, and 2020, and Outstanding Professor in 2017, 2019, 2020, 2021, and 2023. Additionally, he earned the Best Iranian Ph.D. Dissertation award for his work in power system protection, showcasing his commitment to academic excellence. His consistent recognition reflects not only his research achievements but also his significant influence on students and peers, solidifying his status as a leading figure in the field of renewable energy and power system

Conclusion

Dr. Navid Ghaffarzadeh is an exemplary researcher whose academic background, honors, research achievements, and professional activities position him as a leading figure in the field of electrical engineering. His extensive contributions to renewable energy, power system protection, and intelligent systems demonstrate a commitment to advancing knowledge and solving critical challenges in the energy sector. His qualifications, impact, and recognition make him a highly suitable candidate for the Best Researcher Award.

Publication Top Notes

  • Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
    Authors: MAS Masoum, S Jamali, N Ghaffarzadeh
    Year: 2010
    Citations: 302
  • A new efficient BBO based method for simultaneous placement of inverter-based DG units and capacitors considering harmonic limits
    Authors: N Ghaffarzadeh, H Sadeghi
    Year: 2016
    Citations: 85
  • Identification of optimal features for fast and accurate classification of power quality disturbances
    Authors: S Jamali, AR Farsa, N Ghaffarzadeh
    Year: 2018
    Citations: 80
  • Optimal sizing of battery energy storage systems in off-grid micro grids using convex optimization
    Authors: M Zolfaghari, N Ghaffarzadeh, AJ Ardakani
    Year: 2019
    Citations: 71
  • A novel phaselet-based approach for islanding detection in inverter-based distributed generation systems
    Authors: AT Kolli, N Ghaffarzadeh
    Year: 2020
    Citations: 55
  • A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient
    Authors: B Vahidi, N Ghaffarzadeh, SH Hosseinian
    Year: 2010
    Citations: 49
  • Water cycle algorithm based power system stabilizer robust design for power systems
    Authors: N Ghaffarzadeh
    Year: 2015
    Citations: 32
  • Economic battery sizing and power dispatch in a grid-connected charging station using convex method
    Authors: P Mirhoseini, N Ghaffarzadeh
    Year: 2020
    Citations: 29
  • A new method for arcing fault location using discrete wavelet transform and wavelet networks
    Authors: S Jamali, N Ghaffarzadeh
    Year: 2012
    Citations: 26
  • A new phaselet-based method for detecting the power swing in order to prevent the malfunction of distance relays in transmission lines
    Authors: MM Ghalesefidi, N Ghaffarzadeh
    Year: 2021
    Citations: 25
  • An approach to detection of high impedance fault using discrete wavelet transform and artificial neural networks
    Authors: B Vahidi, N Ghaffarzadeh, SH Hosseinian, SM Ahadi
    Year: 2010
    Citations: 23
  • Adaptive single pole auto‐reclosing using discrete wavelet transform
    Authors: S Jamali, N Ghaffarzadeh
    Year: 2011
    Citations: 22
  • Adaptive single-pole auto-reclosure for transmission lines using sound phases currents and wavelet packet transform
    Authors: S Jamali, N Ghaffarzadeh
    Year: 2010
    Citations: 20
  • A novel differential protection scheme for AC microgrids based on discrete wavelet transform
    Authors: AHN Tajani, A Bamshad, N Ghaffarzadeh
    Year: 2023
    Citations: 19
  • A new protection scheme for high impedance fault detection using wavelet packet transform
    Authors: N Ghaffarzadeh, B Vahidi
    Year: 2010
    Citations: 19