Sheharyar Hussain | PV-EV charging station | Best Researcher Award Posted on 19/09/202522/09/2025 by Technology Scientists Mr. Sheharyar Hussain | PV-EV charging station | Best Researcher Award Mentor | Tianjin University Renai College | China Mr. Sheharyar Hussain is an accomplished Electrical Engineer, Lecturer, and Industry Mentor at the Green Power Research Institute, Tianjin Renai College, specializing in power electronics, control and automation, and robotics. He holds dual master’s degrees with a strong focus on smart grids, renewable energy, and artificial intelligence applications in power systems, and is an active IEEE member. His professional experience spans academia and industry, where he has led research initiatives on microgrids, advanced control systems, UAVs, and sustainable energy technologies, as well as guided students and industry professionals in innovative projects. His research contributions include significant publications in top-tier journals such as IEEE Transactions on Industry Applications, Journal of Modern Power Systems and Clean Energy, and IET Generation, Transmission & Distribution, focusing on energy management strategies, distribution system optimization, EV charging solutions, and predictive control for photovoltaic systems. In addition to authoring 13 SCI/Scopus-indexed journal papers, he has three patents published or under process and has collaborated extensively on smart grid and clean energy projects. Recognized for his innovative approach to energy systems, he holds professional memberships and actively engages in fostering academic-industry collaborations. His work reflects a commitment to advancing sustainable, intelligent energy solutions and mentoring the next generation of engineers. He has received 255 citations by 223 documents, authored 14 documents, and holds an h-index of 6. Profile: Google Scholar | Scopus | ORCID Featured Publications 1. Meng Q.*, Hussain S., Luo F., Wang Z., Jin X., An online reinforcement learning-based energy management strategy for microgrids with centralized control. IEEE Trans. Ind. Appl., 2024, 99. 2. Meng Q.*, Jin X., Luo F., Wang Z., Hussain S., Distributionally robust scheduling for benefit allocation in regional integrated energy system with multiple stakeholders. J. Mod. Power Syst. Clean Energy, 2024, 12(5), 1631-1642. 3. Meng Q.*, Tong X., Hussain S., Luo F., Zhou F., Liu L., He Y., Jin X., Li B., Revolutionizing photovoltaic consumption and electric vehicle charging: A novel approach for residential distribution systems. IET Gener. Transm. Distrib., 2024, 18(17), 2822-2833. 4. Meng B.*, Tong X., Hussain S., Luo F., Zhou F., He Y., Liu L., Sun B., Enhancing distribution system stability and efficiency through multi-power supply startup optimization for new energy integration. IET Gener. Transm. Distrib., 2024, 1-14. 5. Saeed M.A.*, Ahmed Z., Hussain S., Zhang W., Wind resource assessment and economic analysis for wind energy development in Pakistan. Sustain. Energy Technol. Assess., 2021, 44, 101068.
Mr. Sheharyar Hussain is an accomplished Electrical Engineer, Lecturer, and Industry Mentor at the Green Power Research Institute, Tianjin Renai College, specializing in power electronics, control and automation, and robotics. He holds dual master’s degrees with a strong focus on smart grids, renewable energy, and artificial intelligence applications in power systems, and is an active IEEE member. His professional experience spans academia and industry, where he has led research initiatives on microgrids, advanced control systems, UAVs, and sustainable energy technologies, as well as guided students and industry professionals in innovative projects. His research contributions include significant publications in top-tier journals such as IEEE Transactions on Industry Applications, Journal of Modern Power Systems and Clean Energy, and IET Generation, Transmission & Distribution, focusing on energy management strategies, distribution system optimization, EV charging solutions, and predictive control for photovoltaic systems. In addition to authoring 13 SCI/Scopus-indexed journal papers, he has three patents published or under process and has collaborated extensively on smart grid and clean energy projects. Recognized for his innovative approach to energy systems, he holds professional memberships and actively engages in fostering academic-industry collaborations. His work reflects a commitment to advancing sustainable, intelligent energy solutions and mentoring the next generation of engineers. He has received 255 citations by 223 documents, authored 14 documents, and holds an h-index of 6. Profile: Google Scholar | Scopus | ORCID Featured Publications 1. Meng Q.*, Hussain S., Luo F., Wang Z., Jin X., An online reinforcement learning-based energy management strategy for microgrids with centralized control. IEEE Trans. Ind. Appl., 2024, 99. 2. Meng Q.*, Jin X., Luo F., Wang Z., Hussain S., Distributionally robust scheduling for benefit allocation in regional integrated energy system with multiple stakeholders. J. Mod. Power Syst. Clean Energy, 2024, 12(5), 1631-1642. 3. Meng Q.*, Tong X., Hussain S., Luo F., Zhou F., Liu L., He Y., Jin X., Li B., Revolutionizing photovoltaic consumption and electric vehicle charging: A novel approach for residential distribution systems. IET Gener. Transm. Distrib., 2024, 18(17), 2822-2833. 4. Meng B.*, Tong X., Hussain S., Luo F., Zhou F., He Y., Liu L., Sun B., Enhancing distribution system stability and efficiency through multi-power supply startup optimization for new energy integration. IET Gener. Transm. Distrib., 2024, 1-14. 5. Saeed M.A.*, Ahmed Z., Hussain S., Zhang W., Wind resource assessment and economic analysis for wind energy development in Pakistan. Sustain. Energy Technol. Assess., 2021, 44, 101068.
