Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

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Dr. Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Karadeniz Technical University | Turkey

Dr. Sibel Cevik Bektas is an electrical and electronics engineering researcher specializing in energy systems and renewable integration. Education includes undergraduate, postgraduate, and doctoral degrees in electrical engineering from Karadeniz Technical University. Professional experience centers on academic research, peer-reviewed publications, conference contributions, and leadership of a TUBITAK-funded project. Research interests cover optimal energy management, power systems, load forecasting, solar irradiance prediction, and data-driven optimization. Research skills include machine learning, deep learning, time-series forecasting, optimization, MATLAB modeling, and power system analysis. Awards and honors include competitive national research funding. Overall, Dr. Sibel Cevik Bektas contributes impactful, applied solutions advancing energy systems.

Citation Metrics (Scopus)

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Featured Publications

Scenario-Based Data-Driven Approaches for Short-Term Load Forecasting
Energy and Buildings, 2026

Mohd Faizan l Diagnostic Analytics | Research Excellence Award

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Mr. Mohd Faizan l Diagnostic Analytics | Research Excellence Award

University of Lille | France

Mohd Faizan is a PhD Candidate in Control Systems at the University of Lille, France, specializing in resilience control, fault-tolerant systems, power electronics, and DC microgrids. He holds an M.Tech and B.E. in Electrical Engineering from Aligarh Muslim University with first-class distinction. His professional experience includes PhD research at CRIStAL Laboratory on RTTR-based performance degradation prediction and prior research at NTUST, Taiwan, on LSTM-based PV fault detection. His research interests span resilience control, fault diagnosis, DC microgrids, and ML for control, supported by strong skills in MATLAB, Python, power converters, and hardware prototyping. He has received multiple scholarships, academic honors, and IEEE publications, positioning him for impactful research and engineering roles.

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529

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Featured Publications

Online Estimation of Remaining Time to Recovery to Enhance Resilience Using Bond Graph Based Power Loss Estimation


IFAC Journal of Systems and Control, 2026
| Mohd Faizan, Mahdi Boukerdja, Anne Lise Gehin, Belkacem Ould Bouamama, Sumit Sood

Non-Linear Control of Interleaved Boost Converter Using Disturbance Observer-Based Approach


IEEE Access, 2025
| Avinash Mishra, Sanjoy Mandal, Jean-Yves Dieulot, Mrinal R. Bachute, Mohd Faizan et al.

Long Short-Term Memory-Based Feedforward Neural Network Algorithm for Photovoltaic Fault Detection Under Irradiance Conditions


IEEE Transactions on Instrumentation and Measurement, 2024
| Nien-Che Yang, Mohd Faizan

 

Design of 31-Level Asymmetrical Inverter With Reduced Components


International Journal of Circuit Theory and Applications, 2022

Design of Single Phase Five Level Packed U-Cell Inverter for Standalone and Grid Connected Modes


IEEE SEFET 2022 – International Conference on Sustainable Energy and Future Electric Transportation

Gulshan Sharma l Machine Learning and AI Applications | Research Excellence Award

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Prof. Gulshan Sharma l Machine Learning and AI Applications | Research Excellence Award

University of Johannesburg | South Africa

Prof. Gulshan Sharma is an experienced academic at the University of Johannesburg with extensive expertise in electrical engineering and power systems. She has attended multiple faculty development programs on PLC, SCADA, industrial automation, smart grids, and modern power system operations. Her research interests include renewable energy technologies, advanced power system control, machine learning applications in power systems, and automation. She has guided projects and internships on SCADA systems and industrial drives. Prof. Sharma is proficient in both undergraduate and postgraduate subjects, ranging from electrical machines and control systems to robotics and non-conventional energy sources. Her work contributes to advancing modern power engineering education and research.

Citation Metrics (Scopus)

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Featured Publications

Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

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Prof. Bardia Rodd | Machine Learning and AI Applications | Best Researcher Award

SUNY Upstate Medical University | United States

Prof. Bardia Rodd is an Associate Professor at SUNY Upstate Medical University and Associate Director of AI Innovation at the AI for Health Equity, Analytics, and Diagnostics (AHEAD) Center. He completed dual PhDs in Electrical & Computer Engineering from Université Laval and in Computer Science from the University of Malaya, alongside a postdoctoral fellowship at the University of Pennsylvania Perelman School of Medicine, focusing on precision medicine, artificial intelligence, and image-guided systems. His academic career spans faculty positions at SUNY Upstate, the University of Maryland, and Laval University, with extensive experience in biocomputational engineering, machine learning, medical image analysis, and data-driven healthcare solutions. He has led numerous grants, including initiatives in AI in education, biomedical research, and curriculum development. Prof. Rodd has supervised multiple graduate and postgraduate students and contributed to open educational resources, advancing accessible teaching in machine learning and bioengineering. He is an active member of professional societies including IEEE, SPIE, and the Association of Pathology Informatics, serving on multiple technical committees and leadership roles. His research interests include AI-driven biomedical imaging, predictive modeling, and health equity applications. Prof. Rodd has authored a textbook on machine learning for data analysis and continues to integrate research, teaching, and innovation to advance computational medicine and AI education.

Profile : Scopus

Featured Publications

Siezen, H., Awasthi, N., Rad, M. S., Ma, L., & Rodd, B. (2025). “Low-rank distribution embedding of dynamic thermographic data for breast cancer detection.” Journal of Thermal Biology, 104303.

Usamentiaga, R., Fidanza, A., Yousefi, B., Iacutone, G., Logroscino, G., & Sfarra, S. (2025). “Advancing knee injury prevention and anomaly detection in rugby players through automated processing of infrared thermography: A novel biothermodynamics approach.” Thermal Science and Engineering Progress, 103782.

Rad, M. S., Huang, J. V., Hosseini, M. M., Choudhary, R., Siezen, H., Akabari, R., et al. (2025). “Deep learning for digital pathology: A critical overview of methodological framework.” Journal of Pathology Informatics, 100514.

Yousefi, B., Khansari, M., Trask, R., Tallon, P., Carino, C., Afrasiyabi, A., Kundra, V., Ma, L., Ren, L., Farahani, K., & Hershman, M. (2025). “Measuring subtle HD data representation and multimodal imaging phenotype embedding for precision medicine.” IEEE Transactions on Instrumentation and Measurement, TIM-24-01821.

Cao, Y., Sutera, P., Mendes, W. S., Yousefi, B., Hrinivich, T., Deek, M., et al. (2024). “Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.” Radiotherapy and Oncology, 199, 110443.

Daxiong Ji | Data Analysis | Research Excellence Award

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Dr. Daxiong Ji | Data Analysis | Research Excellence Award

Zhejiang University | China

Dr. Daxiong Ji is an Associate Professor at the Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, and a Senior Member of IEEE. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences and a B.S. in Automation from Wuhan Polytechnic University. Dr. Ji has held visiting scholar positions at the University of Melbourne, University of Plymouth, and University of Victoria, collaborating internationally on advanced marine robotics research. His expertise spans automatic control, artificial intelligence applications, autonomous marine robotics, electrical engineering, and intelligent systems. He has supervised numerous undergraduate, master’s, and doctoral students, leading courses on Marine Robot Design, Marine Intelligent Systems, and Professional Practices. Dr. Ji has received multiple honors, including the First Prize of Zhejiang Provincial Teaching Achievement Award, recognition as an Excellent Moral Education Mentor, and awards for scientific and technological achievements from the Chinese Academy of Sciences. He has led and participated in numerous national and international research projects, focusing on autonomous navigation, fault diagnosis, and data-driven control of underwater vehicles. Dr. Ji is also an accomplished inventor with multiple patents in underwater robotics and autonomous systems. His research has been widely published in top journals, reflecting significant contributions to marine intelligent systems.

Profiles : Orcid | Google Scholar

Featured Publications

Ji, D.; Ogbonnaya, S.G.; Hussain, S.; Hussain, A.F.; Ye, Z.; Tang, Y.; Li, S. Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles. Electronics, 2025, 14(3), 489.

Xu, L.; Ji, D. Online Fault Diagnosis Using Bioinspired Spike Neural Network. IEEE Transactions on Industrial Informatics, 2024.

Zhou, J.; Ye, Z.; Zhao, J.; Ji, D.; Peng, Z.; Lu, G.; Tadda, M.A.; Shitu, A.; Zhu, S. Multi-detector and Motion Prediction-Based High-Speed Non-Intrusive Fingerling Counting Method. Biosystems Engineering, 2024, 218, 1–15.

Ji, D.; Wang, R. Path Following of QAUV Using Attitude-Velocity Coupling Model. Ocean Engineering, 2024, 293, 116885.

Ji, D.; Cheng, H.; Zhou, S.; Li, S. Dynamic Model-Based Integrated Navigation for a Small and Low-Cost Autonomous Surface/Underwater Vehicle. Ocean Engineering, 2023, 273, 114091.

Samaneh Saeedinia | Engineering | Best Researcher Award

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Prof.Dr. Samaneh Saeedinia | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Samaneh Alsadat Saeedinia is an accomplished researcher and engineer specializing in Control Electrical Engineering, Computational Neuroscience, Robotics, and Artificial Intelligence. She earned her Ph.D. from Iran University of Science and Technology (IUST), where her thesis focused on designing and stabilizing intelligent decision-making systems to support the treatment of adult focal epilepsy, receiving an excellent grade. She also holds a Master’s degree in Control Electrical Engineering from IUST and a Bachelor’s degree from Imam Khomeini International University. Dr. Saeedinia has extensive experience in signal processing, machine learning, spiking neural networks, EEG and MRI data analysis, and adaptive control systems. She has contributed to numerous high-impact publications in IEEE Transactions, Scientific Reports, and other international journals. Her research interests include computational modeling, intelligent control, data fusion, robotics path planning, and neuroinformatics. Beyond academia, she has led industrial projects in electrical power systems, automation, and instrumentation. She has received multiple awards, including the Khwarizmi International Award and top ranks in academic performance. Dr. Saeedinia is also an experienced educator and mentor, guiding students in advanced control systems, neural networks, and data analysis. Her work bridges engineering, neuroscience, and artificial intelligence, aiming to develop innovative solutions for healthcare and robotic applications.

Profile : Google Scholar

Featured Publications

Saeedinia, S.A., Jahed-Motlagh, M.R., Tafakhori, A., & Kasabov, N.K. (2024). “Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine” in Scientific Reports, 14(1), 10667.

Mohaghegh, M., Saeedinia, S.A., & Roozbehi, Z. (2023). “Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles” in Frontiers in Robotics and AI, 10, 1226028.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2024). “Dynamic-structured reservoir spiking neural network in sound localization” in IEEE Access, 12, 24596–24608.

Saeedinia, S.A., & Tale Masouleh, M. (2022). “The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision” in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2025). “Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks” in IEEE Access.

Farouk Rizk | Electromagnetic Theory | Best Researcher Award

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Dr. Farouk Rizk | Electromagnetic Theory | Best Researcher Award

Lightning Electrotechnologies Inc | Canada

Dr. Farouk A. M. Rizk is a leading figure in high-voltage and lightning engineering, holding B.Sc. and M.Sc. degrees from Cairo University and a Ph.D. from the Royal Institute of Technology in Stockholm, followed by a Doctor of Technology from Chalmers University of Technology. His career includes senior research and leadership roles at the Hydro-Québec Research Institute, adjunct and invited professorships, and his current work as president of engineering and lightning-technology firms in Montreal. He has authored influential research on arc dynamics, polluted insulators, long-air-gap breakdown, lightning attachment, and ultra-corona applications, earning an h-index of 27, 95 documents, and 2,657 citations by 1,801 documents. His contributions include pioneering models of insulator flashover, desert pollution performance, rain-impact behavior, and switching-impulse breakdown. Recognized as an IEEE Fellow, he has received multiple IEEE prize paper awards, the Herman Halperin Award, the CIGRE Technical Committee Award, and the 2021 ICLP Lifetime Achievement Award. He has chaired major international high-voltage forums and consulted globally on lightning protection and power transmission. His work has significantly shaped modern insulation coordination and lightning engineering, establishing him as one of the field’s most influential contributors.

Profile : Scopus

Featured Publications

(2022). “Novel Solution to Back Flashovers on High Voltage Transmission Lines: The Embedded Ground Conductor.” IEEE Transactions on Power Delivery.

(2022). “Negative Impulse Ground Wire Corona Parameters for Backflash Evaluation of High Voltage Transmission Lines.” IEEE Transactions on Power Delivery.

(2020). “New approach for assessment of positive streamer penetration of long air gaps under impulse voltages.” IEEE Transactions on Dielectrics and Electrical Insulation.

(2018). “A simplified approach for assessment of exposure of EHV and UHV lines to direct lightning strikes.” IEEE Transactions on Power Delivery.

(2017). “Modeling of UHV & double-circuit EHV transmission-line exposure to direct lightning strikes.” IEEE Transactions on Power Delivery.

Ashutosh K Giri | Engineering | Best Researcher Award

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Dr. Ashutosh K Giri | Engineering | Best Researcher Award

Government Engineering College Bharuch | India

Dr. Ashutosh K. Giri is an Assistant Professor in the Department of Electrical Engineering at Government Engineering College, Bharuch, Gujarat, India, with over 20 years of teaching and research experience. He earned his Ph.D. from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, focusing on control algorithms for power quality issues in wind-based distributed power generation systems. He also holds an M.E. in Electrical Engineering from L.D. College of Engineering, Gujarat University, and a B.Tech in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar. Dr. Giri’s research interests include renewable energy power converters, microgrid topology, operation and control, power quality enhancement, electric vehicle technologies, and adaptive control algorithms. He has published extensively in leading journals including IEEE, IET, Springer, Wiley, Elsevier, and Taylor & Francis, authored and edited multiple international books, and contributed to state- and national-level funded research projects. His work has been cited 478 times across 234 documents, with an h-index of 14, reflecting his significant impact in the field. Recognized among the top 2% of scientists globally, Dr. Giri continues to advance research and innovation in distributed generation systems and renewable energy, mentoring students and contributing to the scientific community through high-quality research and academic leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Joshi, D., Deb, D., & Giri, A. K. (2025). “Metaheuristic adaptive input output feedback linearization control for BLDC motor drive” in IEEE Transactions on Consumer Electronics.

Kanojia, S. S., Suthar, B. N., & Giri, A. K. (2025). “Hybrid optimization approach for optimal location of electric vehicle charging station (EVCS) in distribution network considering voltage stability” in Smart Grids and Sustainable Energy.

Kundu, S., Giri, A. K., & Kadiyan, S. (2025). “An adaptive mixed-step size normalized least means fourth control approach for stand-alone power generation system considering dynamic conditions” in IEEE Journal of Emerging and Selected Topics in Power Electronics.

Bhatt, K. A., Bhalja, B. R., & Giri, A. K. (2024). “Controlled single-phase auto-reclosing technique for shunt reactor compensated lines in electrical energy systems transmission lines” in International Journal of Ambient Energy.

Parmar, D. B., & Giri, A. K. (2024). “Integration of field-oriented and steady-state linear Kalman filter control in PMSG-based grid-connected system for improving voltage control and power balance operation” in Electrical Engineering.

Decheng Li | Engineering | Best Researcher Award

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Mr. Decheng Li | Engineering | Best Researcher Award

Lanzhou University of Technology | China

Dr. Decheng Li is a dedicated scholar and researcher at the School of Automation and Electrical Engineering, Lanzhou University of Technology, China. He obtained his academic training in electrical engineering and automation, focusing on intelligent control systems, robotics, and power electronics. With extensive teaching and research experience, Dr. Li has contributed significantly to the advancement of automation technologies and intelligent systems applications in industrial environments. His research interests encompass intelligent control theory, optimization algorithms, renewable energy integration, and advanced signal processing techniques for control systems. Dr. Li has authored and co-authored numerous papers in leading international journals and conferences, reflecting his commitment to academic excellence and technological innovation. He has been involved in several national and provincial research projects, fostering collaboration between academia and industry. In recognition of his contributions, Dr. Li has received multiple academic awards and honors for his outstanding research and teaching performance. He continues to mentor graduate students and promote interdisciplinary research to solve real-world engineering challenges. Dr. Li remains committed to advancing automation and intelligent systems for sustainable industrial development and the future of smart technologies.

Profile: Orcid

Featured Publication

Liu, J., Li, D., & Chen, H. (2025). “Robust hybrid decentralized controller design for Voice Coil Actuator-Fast Steering Mirror system in high-precision optical measurements.

Pardha Saradhi Maram – Smart Batteries – Best Researcher Award 

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Dr. Pardha Saradhi Maram - Smart Batteries - Best Researcher Award 

SRM University AP - India

Author Profile

Early Academic Pursuits

Dr. Pardha Saradhi Maram embarked on his academic journey with a strong foundation in chemistry, earning his Bachelor of Science degree from Acharya Nagarjuna University in 2002. He then pursued a Master of Science in Inorganic Chemistry from Andhra University in 2004, deepening his understanding of chemical principles. His academic pursuits culminated in a Ph.D. in Solid State/Materials Chemistry from the prestigious Indian Institute of Technology Madras in 2010. Under the guidance of Prof. U.V. Varadaraju, he delved into the intricate realm of solid-state materials, focusing on the synthesis and characterization of polyanionic network solids and their photoluminescent properties.

Professional Endeavors

Dr. Maram's professional journey has been marked by a seamless blend of academic rigor and industrial application. Following his doctoral studies, he ventured into the realm of postdoctoral research at the University of California, Davis, under the mentorship of Prof. Alexandra Navrotsky. Here, he honed his expertise in experimental thermochemistry, laying the groundwork for his future endeavors. His contributions to the Peter A. Rock Thermochemistry Laboratory solidified his reputation as a meticulous researcher with a keen eye for detail.

Transitioning to the industrial landscape, Dr. Maram served as a Material Scientist at Clean Diesel Technology Inc., where he spearheaded innovations in emission control technology. His role as the head of the diesel oxidation catalyst division underscored his leadership prowess and his ability to translate academic insights into real-world solutions.

Contributions and Research Focus

Dr. Maram's research pursuits have revolved around elucidating the intricate interplay between microscopic structure features and macroscopic thermodynamic behavior in complex functional materials. His pioneering work encompasses a diverse array of domains, including environmental protection, energy conversion, and catalysis. Noteworthy contributions include the development of novel mixed metal oxide catalysts for emission control systems, high-temperature reaction calorimetry techniques, and advancements in battery electrode materials.

His research endeavors have not only expanded the frontiers of scientific knowledge but have also held profound implications for addressing pressing global challenges such as climate change and energy sustainability. By delving into the fundamental mechanisms governing material properties, Dr. Maram has laid a solid foundation for the development of next-generation technologies with enhanced efficiency and sustainability.

Accolades and Recognition

Dr. Maram's scholarly achievements have been duly recognized through a myriad of accolades and awards. His receipt of the Young Scientist Award from the Department of Science and Technology (DST) in 2010 stands as a testament to his early promise and scholarly prowess. Furthermore, his exemplary doctoral thesis earned him the prestigious Alfred Werner Best Thesis Award in the Department of Inorganic & Analytical Chemistry at the Indian Institute of Technology Madras.

Membership in esteemed organizations such as the Indian Academy of Sciences further underscores his standing as a luminary in the field of chemistry. Dr. Maram's prolific publication record, coupled with a significant citation impact, attests to the far-reaching influence of his scholarly contributions.

Impact and Influence

Dr. Maram's interdisciplinary research endeavors have left an indelible mark on both academia and industry. His collaborative ethos and penchant for innovation have catalyzed advancements across diverse domains, ranging from materials science to environmental engineering. By bridging the gap between fundamental research and practical applications, he has facilitated the translation of scientific discoveries into tangible solutions with real-world impact.

Legacy and Future Contributions

As Dr. Maram continues to chart new frontiers in the realm of materials chemistry, his legacy as a trailblazer and innovator grows evermore pronounced. His unwavering commitment to excellence, coupled with a visionary outlook, ensures that his contributions will resonate far into the future. By inspiring the next generation of researchers and fostering interdisciplinary collaborations, he remains steadfast in his pursuit of scientific excellence and societal impact.

Citations

A total of 1052 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    1052
  • h-index       16
  • i10-index    19

Notable Publication