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.**

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Associate Professor | 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, renowned for his expertise in electrical power engineering, power electronics, and modern energy systems. He holds comprehensive academic qualifications spanning bachelor’s, master’s, and doctoral degrees in Electrical Power Engineering with focused specialization in power quality enhancement, converter control, smart grids, and renewable energy integration. His professional career includes extensive teaching, research leadership, and contributions to major projects involving flexible AC transmission systems, multilevel converters, grid-connected converter control, micro-grid stability, reactive power management, and harmonics mitigation using advanced hybrid filtering techniques. A highly productive scholar, he has authored numerous books along with hundreds of peer-reviewed publications and has secured multiple patents that reflect his commitment to advancing power system reliability and intelligent energy technologies. His academic service includes organizing and contributing to program committees of various scientific conferences, mentoring emerging researchers, and participating in collaborative initiatives that translate theoretical advancements into practical engineering solutions. Dr. Akbari has earned several scientific and technological achievement awards, complemented by professional memberships, editorial engagements, and recognized contributions to the global power engineering community. Citations 1,206 by 962 documents, 58 documents, h-index 20.

Profile: Scopus

Featured Publications

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

Akbari, E.*, 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.

Akbari, E.*, 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.

Akbari, E.*, 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, 2025.

 

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Published on by Electrical Engineering

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Senior Firmware Automation Engineer | TAE Power Solutions | United States

Ms. Soujanya Reddy Annapareddy is a Senior Firmware Automation Engineer at TAE Power Solutions, recognized for her expertise in embedded systems, firmware validation, and automation engineering. She holds advanced degrees in Computer Technology and Electronics and Communication Engineering, forming a strong interdisciplinary foundation that bridges software and hardware innovation. With extensive experience in developing Python-based automation frameworks, integration testing tools, and validation systems for complex embedded platforms, she has led and contributed to numerous industry and research projects aimed at enhancing automation efficiency and system reliability. Her research primarily focuses on firmware automation, embedded systems validation, IoT test architectures, software quality engineering, and cloud-integrated automation solutions. She has authored and co-authored more than twenty papers in international peer-reviewed journals and conferences, presenting impactful findings on energy-efficient embedded systems and adaptive control algorithms for battery energy storage systems. Beyond research, Ms. Annapareddy has served as a peer reviewer and judge for multiple reputed international journals, evaluating technical manuscripts across software automation and data-driven technologies. Her professional affiliations include membership in IEEE and active collaborations with multidisciplinary teams in academia and industry. She has been honored with recognitions for excellence in energy efficiency and innovation, reflecting her commitment to advancing intelligent, sustainable embedded technologies. Through her technical leadership, scholarly contributions, and dedication to continuous innovation, Ms. Soujanya Reddy Annapareddy exemplifies the qualities of a forward-thinking engineer and researcher in the global field of firmware automation and embedded systems engineering.

Profile: Google Scholar 

Featured Publications

Soujanya Reddy Annapareddy*, Managing power flows and energy efficiency in embedded systems for battery energy storage systems (BESS). Int. J. Adv. Innov. Dev. Res., Accepted.

Soujanya Reddy Annapareddy*, Python-based automation frameworks for firmware validation and integration testing in embedded platforms. Int. J. Innov. Res. Comput. Technol., 2024, 8(3), 245–252.

Soujanya Reddy Annapareddy, Adaptive algorithms for real-time power flow management in IoT-enabled systems. Int. J. Autom. Control Technol., 2024, 7(2), 118–129.

Soujanya Reddy Annapareddy, Machine learning-based predictive control for embedded energy storage systems. Int. J. Firmware Modern. Res., 2024, 6(4), 342–350.

Soujanya Reddy Annapareddy, Cloud-integrated automation systems for large-scale embedded firmware testing. Int. J. Latest Res. Publ., 2024, 5(1), 97–105.