Assoc. Prof. Dr. Huibin Jia | Smart Grids and Microgrids | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Huibin Jia | Smart Grids and Microgrids | Research Excellence Award

Associate Professor | North China Electric Power University | China

Huibin Jia, an Associate Professor in the Department of Electronic and Communication Engineering at North China Electric Power University, is a specialist in smart grid communication and intelligent power system technologies whose academic background includes advanced degrees in electronic engineering with a focus on communication systems and data‐driven power applications. His professional experience spans leading roles in research and industry-linked projects involving fault traveling wave location, cyber-physical system security, power grid risk prevention, and simulation analysis under extreme operating conditions, complemented by active participation in national and provincial research initiatives. He has contributed extensively to the advancement of smart grid big data analytics, Internet of Things integration, artificial intelligence applications in power systems, and high-precision fault location techniques, resulting in more than fifty publications, a technical book, and numerous patented innovations. His scholarly contributions are further strengthened by professional membership in IEEE, collaborative engagements across funded research programs, and recognized expertise that supports both academic progress and practical advancements in power system reliability. 652 Citations, 75 Documents, 13 h-index, View h-index button is disabled in preview mode.

Profiles: Scopus | ORCID

Featured Publications

Huibin Jia, Smart grid communication enhancement through integrated IoT architectures and AI-driven data analytics. Int. J. Electr. Power Syst., Accepted.


Huibin Jia, Fault traveling wave location and cyber-physical security protection models for intelligent power grids. Electr. Power Syst. Res., In Press.


Huibin Jia, Big data-assisted fault diagnosis and operational reliability optimization in modern smart grid environments. J. Mod. Power Eng., Publication Ongoing.**

Prof. Dong Jiang | Energy Storage Systems | Best Researcher Award

Published on by Electrical Engineering

Prof. Dong Jiang | Energy Storage Systems | Best Researcher Award

Professor | Huazhong University of Science and Technology | China

Professor Dong Jiang, a leading scholar at Huazhong University of Science and Technology, is renowned for his expertise in power electronics, advanced motor drives, and electromagnetic interference mitigation. He holds a PhD in Electrical Engineering from the University of Tennessee and both bachelor’s and master’s degrees from Tsinghua University, where he specialized in high-performance converter design and control. His professional background includes service as a Senior Research Scientist and Engineer at the United Technologies Research Center, along with extensive leadership in major national and international research projects focused on multi-functional inverters, magnetic bearing systems, and high-reliability motor controllers. His research contributions span PWM converter optimization, EMI suppression, active magnetic bearings, and modern motor drive technologies, supported by an extensive publication record that includes numerous IEEE journal articles, conference papers, books, and a substantial portfolio of granted patents. He has earned multiple prestigious awards for scientific innovation, impactful publications, and technological breakthroughs while also contributing significantly to the scholarly community as an Associate Editor for IEEE Transactions on Industry Applications, Chairman of the IEEE PELS Wuhan Chapter, IET Fellow, and IEEE Senior Member. With more than 6450 citations, an h-index of 43, and an i10-index of 135, he stands as a highly influential figure in the global power electronics research community.

Profile: Google Scholar

Featured Publications

D. Jiang*, F. Wang, Current-ripple prediction for three-phase PWM converters, IEEE Transactions on Industry Applications 50(1), 531–538.

D. Jiang*, Z. Shen, F. Wang, Common-mode voltage reduction for paralleled inverters, IEEE Transactions on Power Electronics 33(5), 3961–3974.

D. Jiang*, Dead-time effect compensation method based on current ripple prediction for voltage-source inverters, IEEE Transactions on Power Electronics 34(1), 971–983.

D. Jiang*, R. Burgos, F. Wang, D. Boroyevich, Temperature-dependent characteristics of SiC devices: Performance evaluation and loss calculation, IEEE Transactions on Power Electronics 27(2), 1013–1024.

Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award

Published on by Electrical Engineering

Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award

PhD | Yazd University | Iran

Dr. Fatemeh Avazpour is a highly accomplished researcher and educator in Water and Hydraulic Structure Engineering, currently affiliated with Yazd University, Iran. She holds a Ph.D. in Water and Hydraulic Structure Engineering from Yazd University, an M.Sc. in Civil Engineering with a focus on Water Engineering from Yasuj University, and a B.Sc. in Civil Engineering from the same institution. Her academic and research pursuits center on hydrology, hydraulic structures, numerical and hydrological modeling, and the integration of artificial intelligence techniques—such as deep learning and optimization algorithms—for streamflow and sediment prediction under climate change conditions. Dr. Avazpour has served as a faculty member teaching hydraulic and hydrologic engineering courses and as a visiting researcher at the Water, Energy and Environment Research Unit of Oulu University, Finland. She has authored and co-authored numerous scientific papers in reputed international journals and conferences, as well as translated technical books on computational fluid dynamics and numerical modeling. Her professional roles include engineering consultancy, project supervision, and refereeing for national and international journals. She is an active member of the Watershed Management Society of Iran and the Iranian Water Resources Association. Her recognitions include selection as a visiting researcher in Finland, top researcher and best faculty awards at Pishtazan University, and first rank in her Master’s program. Dr. Avazpour’s commitment to applying artificial intelligence for sustainable water resource management continues to enhance the interdisciplinary advancement of hydraulic and environmental engineering. She has 20 citations by 20 documents, 4 publications, and an h-index of 2.

Profile: Scopus

Featured Publications

Fatemeh Avazpour*, Flow discharge and suspended sediment load prediction in multiple sites of a basin: a comparative study of classical AI and deep learning approaches. Acta Geophysica, Accepted.

Fatemeh Avazpour*, Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering, Accepted.

Fatemeh Avazpour, Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science, Accepted.

Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award

Published on by Electrical Engineering

Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award

Assistant Professor | Guru Nanak Dev Engineering College | India

Dr. Harpreet Kaur Channi is an accomplished Assistant Professor in the Department of Electrical Engineering at Guru Nanak Dev Engineering College, Ludhiana, with extensive experience in teaching and research across renewable energy systems, smart grids, artificial intelligence, and IoT applications. She holds a Ph.D. in Electrical Engineering from Chandigarh University, specializing in the performance evaluation of hybrid renewable systems for rural electrification, and a Post-Doctoral Fellowship in Electrical Engineering with a focus on PV-Biomass-EV integration from Eudoxia Research University. Over her 17-year career, Dr. Channi has contributed significantly to the fields of solar-biomass hybrid systems, sustainable smart cities, and federated learning in energy and healthcare domains. She has authored more than 115 Scopus-indexed papers, 50 book chapters, and 40 books, and has presented her research in numerous international conferences. Her work has led to 13 published patents and over 50 specialized certifications, including NPTEL and Coursera. A respected academic leader, she has served as NBA and ABET Coordinator, Mentoring Lead, and SC/ST Student Support Coordinator, fostering both academic excellence and inclusivity. Dr. Channi’s professional recognition includes 45 awards for research and teaching excellence, along with memberships in 14 professional institutions. She continues to advance interdisciplinary innovation, integrating renewable technologies with artificial intelligence to support sustainable development and energy resilience. Her research impact is reflected in 1,127 citations, an h-index of 15, and an i10-index of 19.

Profile: Google Scholar

Featured Publications

Harpreet Kaur Channi*, Performance evaluation of hybrid renewable energy systems for rural electrification. Renew. Energy Eng. J., Accepted.

Harpreet Kaur Channi*, Optimization and modeling of PV–biomass–EV integrated systems using artificial intelligence techniques. Int. J. Electr. Power Energy Syst., 2024, 12(3), 102145.

Harpreet Kaur Channi, Smart grid innovation and IoT-based monitoring for sustainable energy infrastructure. Energy Sustain. Dev., 2024, 18(2), 113207.

Assoc. Prof. Dr. Ehsan Akbari | Flexible AC Transmission Systems | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Ehsan Akbari | Flexible AC Transmission Systems | Best Researcher Award

Associate Professor | Department of Electrical Engineering, Mazandaran University of Science and Technology | Iran

Dr. Ehsan Akbari is an Associate Professor in the Department of Electrical Engineering at the Mazandaran University of Science and Technology, Babol, Iran, specializing in electrical power engineering. He earned his B.Sc. in Electrical Power Engineering from Mazandaran University, followed by an M.Sc. and Ph.D. in the same field from the Mazandaran University of Science and Technology and Isfahan University of Technology, respectively. With extensive academic and research experience, Dr. Akbari has authored 25 books, published over 395 journal and conference papers, and holds six patents that reflect his innovative work. His research focuses on power quality, flexible AC transmission systems (FACTS), multilevel power electronics converters, smart grids, microgrids, grid-connected converter control, and renewable energy integration. A recognized leader in his field, he has organized and served on program committees for numerous international conferences. Dr. Akbari’s outstanding achievements have earned him multiple provincial awards for scientific and technological advancement. In addition to his research contributions, he actively engages in professional societies, editorial responsibilities, and academic collaborations, contributing significantly to the advancement of modern power and energy systems. His research impact is reflected in 1,145 citations, 57 documents, and an h-index of 20.

Profile: Scopus

Featured Publications

Ehsan Akbari*, Stationary-frame power regulation for controlling grid-connected three-phase modular multilevel converter with low harmonic under unbalanced voltage. Scientific Reports, 2025.

Ehsan Akbari*, Flexibility regulation-based economic energy scheduling in multi-microgrids with renewable/non-renewable resource and stationary storage systems considering sustainable computing by hybrid metaheuristic algorithm. Sustainable Computing: Informatics and Systems, 2025.

Ehsan Akbari*, Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units. Scientific Reports, 2025.

Ehsan Akbari*, An optimized ANFIS framework for online voltage stability margin estimation in power systems using the novel Solifugae-inspired optimization algorithm and partial least squares-based dimensionality reduction. Measurement: Journal of the International Measurement Confederation, 2025.

Ehsan Akbari*, High voltage direct current system-based generation and transmission expansion planning considering reactive power management of AC and DC stations. Scientific Reports, 2025.