Mohsen Hasan Babayi Nozadian | Power Electronics | Best Researcher Award

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Dr. Mohsen Hasan Babayi Nozadian | Power Electronics | Best Researcher Award

Dr. Mohsen Hasan Babayi Nozadian, Bu-Ali Sina University, Iran

Dr. Mohsen Hasan Babayi Nozadian is an Assistant Professor of Electrical Engineering at Bu-Ali Sina University, Iran. He earned his Ph.D. from the University of Tabriz and is a recognized member of the National Elites Foundation. Dr. Nozadian has held various academic and administrative roles, including Head of the Electrical Engineering Department at Afagh Higher Education Institute and reviewer for prestigious IEEE journals. His expertise spans power electronics, renewable energy, and power systems. He is actively involved in international conferences and research initiatives and continues to contribute to engineering innovation and education in Iran and beyond. 🌍⚡📘

Publication Profile

Google Scholar

🎓 Education

Dr. Nozadian completed his high school diploma in Math & Physics at Andishe Borna High School in Urmia. He pursued a B.Sc. in Electronics Engineering from the University of Urmia, followed by an M.Sc. and Ph.D. in Electrical Engineering from the University of Tabriz. His thesis work throughout his academic journey was consistently awarded the highest grades, with a perfect 20/20 for his B.Sc., M.Sc., and Ph.D. theses, which explored capacitor placement, Z-source inverters, and advanced inverter topologies. His solid educational foundation laid the groundwork for his research in power electronics and renewable energy systems. 📐🔋📚

💼 Experience

Dr. Nozadian has taught at several institutions, including the University of Tabriz, Urmia University of Technology, and Bu-Ali Sina University, where he is currently a faculty member. He served as Head of the Electrical Engineering Department and led the Entrepreneurship and Innovation Center at Afagh Higher Education Institute. His professional roles also include Electrical Project Manager at Araz Hefaz Niroo Co. and R&D Manager at TNTGO Co. His teaching spans from undergraduate to Ph.D. levels in courses such as Power Electronics, Electrical Machines, and Renewable Energies, combining academic excellence with real-world application. 🧑‍🏫🔌🛠️

🏅 Awards & Honors

Dr. Nozadian has received numerous accolades, including First Class Honor for his B.Sc. and multiple education and research prizes from the National Elites Foundation (2016–2018). He was awarded the prestigious Ali Polad Award and recognized as the top Ph.D. graduate in 2020. He has served as a reviewer for elite IEEE journals such as IEEE Transactions on Power Electronics and Industrial Electronics. His scholarly paper was selected among the top 100 in IEEE Trans. Ind. Electron. in 2016. He also received the Tehrani Mogaddam prize and has been an active IEEE and IET member. 🏆📑🎖️

🔬 Research Focus

Dr. Nozadian’s research emphasizes analysis, modeling, and control of advanced power electronic converters including dc/dc, dc/ac, multilevel, and Z-source inverters. He investigates resonance converters, power quality, and reliability in power systems with applications in renewable energy integration. His Ph.D. work introduced improved topologies for Z-source inverters, and he has contributed to national projects at Niroo Research Institute. His interests also extend to matrix converters and soft-switching techniques. He actively develops simulation models using MATLAB/Simulink and PSCAD to enhance converter efficiency and system stability in modern power systems. ⚙️🔋🌞

Publication Top Notes

📘 Developed embedded switched‐Z‐source inverter – E Babaei, E Shokati Asl, M Hasan Babayi, S Laali 📅 2016 🔁 117
📘 Steady-state and small-signal analysis of high-voltage gain half-bridge switched boost inverter – E Babaei, ES Asl, MH Babayi 📅 2016 🔁 100
📘 Steady-state analysis and design considerations of high voltage gain switched Z-source inverter with continuous input current – MHB Nozadian, E Babaei, SH Hosseini, ES Asl 📅 2017 🔁 92
📘 New half-bridge and full-bridge topologies for a switched-boost inverter with continuous input current – ES Asl, E Babaei, M Sabahi, MHB Nozadian, C Cecati 📅 2017 🔁 66
📘 Switched Z‐source networks: A review – M Hasan Babayi Nozadian, E Babaei, SH Hosseini, E Shokati Asl 📅 2019 🔁 50
📘 Improving microgrid frequency regulation based on the virtual inertia concept while considering communication system delay – GA Alizadeh, T Rahimi, MH Babayi Nozadian, S Padmanaban, … 📅 2019 🔁 33
📘 A new topology for Z-source inverter based on switched-inductor and boost Z-source inverter – E Babaei, M Hasan Babayi, E Shokati Asl, S Laali 📅 2015 🔁 25
📘 High step‐up single‐phase‐switched Z‐source inverter: steady‐state analysis and cost evaluation – MHB Nozadian, E Babaei, SH Hosseini 📅 2019 🔁 9
📘 High step‐up active Z‐source dc/dc converters; analyses and control method – MR Alizadeh Pahlavani, M Hasan Babayi Nozadian 📅 2019 🔁 9
📘 Steady state analysis of dual switched boost inverter – MHB Nozadian, E Babaei, V Ranjbarzad 📅 2018 🔁 9
📘 The effect of series and shunt redundancy on power semiconductor reliability – MHB Nozadian, MS Zarbil, M Abapour 📅 2016 🔁 9
📘 Class of high step‐up switched Z‐source inverters: steady state analysis and objective function – M Hasan Babayi Nozadian, E Babaei, SH Hosseini 📅 2019 🔁 8
📘 An Embedded Half-Bridge Γ-Z-Source Inverter with Reduced Voltage Stress on Capacitors – H Mashinchi Maheri, D Vinnikov, MHB Nozadian, E Shokati Asl, E Babaei, … 📅 2021 🔁 7

Rui Wang | Electrical Engineering | Best Researcher Award

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Prof. Rui Wang | Electrical Engineering | Best Researcher Award

Prof. Rui Wang, Northeastern University, China

Dr. Rui Wang is a Professor at the College of Information Science and Engineering, Northeastern University, China. He specializes in energy internet, smart grids, stability analysis, and collaborative control strategies. Previously, he served as an Associate Professor at Northeastern University and worked at the National Natural Science Foundation of China. He has been a Visiting Scholar at Nanyang Technological University, Singapore. Dr. Wang has contributed significantly to power electronics, renewable energy systems, and microgrid stability. As an accomplished researcher, he has received numerous accolades for his publications and serves as an editorial board member and guest editor for prestigious IEEE journals.

Publication Profile

Scopus

Education 🎓📚

Dr. Rui Wang earned his Ph.D. in Power Electronics and Power Drive from Northeastern University, China (2016-2021). His doctoral research focused on advanced modeling techniques and stability control in smart grids. He completed his B.S. in Electrical Engineering and Automation from Northeastern University (2012-2016), where he developed a strong foundation in power systems, control strategies, and microgrid operations. Throughout his academic journey, he explored cutting-edge technologies in energy conversion, distributed control mechanisms, and DC microgrids, which laid the groundwork for his future research. His interdisciplinary knowledge integrates power systems, electronics, and control engineering, enabling innovative contributions to energy management and grid stability. His educational background supports his extensive research on stability-oriented control, power optimization, and distributed energy management, reflecting his dedication to advancing smart grid technologies and energy internet solutions.

Experience 🏢🔬

Dr. Rui Wang has held several key academic and research positions. Since January 2025, he has been a Professor at Northeastern University’s College of Information Science and Engineering. Previously, he served as an Associate Professor (2023-2024) and worked at the National Natural Science Foundation of China (2022), contributing to national energy research projects. From 2019 to 2020, he was a Visiting Scholar at Nanyang Technological University, Singapore, where he collaborated on energy internet and power electronics research. He has chaired multiple IEEE conferences and organized special sessions on power and renewable energy. His experience spans editorial roles for IEEE Transactions on Industrial Applications and IET Renewable Power Generation. Dr. Wang has been actively involved in microgrid stability research, multi-objective collaborative control, and power system optimization. His leadership in national and international projects has significantly contributed to developing robust and efficient smart grid systems.

Awards & Honors 🏆🎖

Dr. Rui Wang has received numerous prestigious awards recognizing his contributions to energy research. He was honored with the Best Paper Award from IEEE Transactions on Energy Conversion (2021) and IEEE Transactions on Consumer Electronics (2022). He also received the Best Reviewer Award from IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion (2022). In 2023, he won the First Natural Science Award from both the Chinese Association of Automation and China Simulation Federation. Additionally, he was awarded the RINENG Distinguished Scientist and Young Investigator Award (2024). His excellence as an editorial board member and conference chair has been acknowledged through various IEEE recognitions. He has also been an Outstanding Reviewer for IEEE Transactions on Energy Conversion and Industrial Electronics (2022). His awards reflect his impactful research in power electronics, energy management, and smart grid optimization.

Research Focus 🔬⚡

Dr. Rui Wang’s research focuses on energy internet modeling, smart grids, and stability analysis. His work explores collaborative control strategies for microgrids, integrating renewable energy sources, and ensuring power system reliability. He specializes in dynamic aggregation modeling of boost converter systems, energy management in DC microgrids, and voltage/current control in distributed power systems. His research on multi-bus DC microgrids has contributed to stability-oriented droop coefficient identification, enhancing power flow optimization. He also investigates cyber-energy interactions, developing robust event-triggered control mechanisms for electric vehicle-to-grid systems. His work in artificial intelligence-based energy management strategies advances smart home power distribution. With a strong focus on multi-objective cooperative control, Dr. Wang’s research ensures efficient, stable, and scalable renewable energy integration, enhancing the resilience and sustainability of modern power networks. His contributions drive the future of energy-efficient, intelligent power systems. 🚀💡

 

Publication Top Notes

📄 Fully distributed energy management strategy for DC bus charging stations with three charging modes – R. Wang, X. Tian, Z. Wei, Q. Sun, P. Wang – Scientific Reports, 2025

⚡ A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid – L. Guo, X. Liu, X. Li, Z. Wang, Q. Sun – International Journal of Electrical Power and Energy System, 2025

🔋 Fixed-time quasi-consensus energy management method for battery energy storage systems in DC microgrids under two types of DoS attacks – L. Liu, K. Jiang, P. Xiong, R. Wang, Q. Sun – Journal of Energy Storage, 2025

🌍 Resilience enhancement strategy of multiple microgrids based on distribution station area considering two-level power management – X. Liu, X. Li, X. Li, H. Ren, Q. Sun – Energy, 2025

🛠️ Guaranteed Disturbance Compensation and Robust Fault Detection Based on Zonotopic Evaluation – S. Fu, R. Wang, W. Tang, X. Sun – International Journal of Robust and Nonlinear Control, 2025

⚙️ Transient Stability Analysis and Improvement of Multiinverter-Based Microgrid – D. Li, Q. Sun, R. Wang, X. Yu – IEEE Transactions on Industrial Electronics, 2025

📡 Data-Driven Dynamic Periodic Event-Triggered Control for Uncertain Linear Systems With Guaranteed Extended Dissipativity – W. Qi, Y. Wang, R. Wang, K. Liu – International Journal of Robust and Nonlinear Control, 2025

🌱 An equivalent thermal model for dynamic analysis of integrated electricity and heat systems for renewable energy accommodation – Q. Sun, R. Wang – IET Renewable Power Generation, 2025

🔗 Recursive Remote State Estimation for Stochastic Complex Networks with Degraded Measurements and Amplify-and-Forward Relays – T. Liu, Z. Wang, Y. Liu, R. Wang – IEEE Transactions on Network Science and Engineering, 2025

⚖️ Adaptive SOC equalization of an islanded DC microgrid considering line impedance and energy storage capacity – X. Liu, H. Cao, L. Lan, R. Wang, Q. Sun – Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2025

Conclusion

Rui Wang is a highly suitable candidate for the Best Researcher Award due to his strong publication record, leadership roles, national and international awards, and successful research funding. His expertise in Energy Internet and Smart Grid Stability aligns with pressing energy challenges. While increased industry collaboration and international funding could further enhance his profile, his current achievements make him a strong contender for the award.

 

Jianyu Pan | Electrical Engineering | Best Researcher Award

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Prof. Jianyu Pan | Electrical Engineering | Best Researcher Award

Prof. Jianyu Pan, Chonqing University, China

Prof. Jianyu Pan is a leading researcher in electrical engineering, specializing in power converters, SiC electric drives, and high-voltage discharge protection. He earned his Ph.D. in Electrical Engineering from The Ohio State University, USA (2019) under Prof. Longya Xu (IEEE Fellow). He also holds an M.S. (2014) and B.S. (2011) from Chongqing University, China. Currently a Professor at Chongqing University, he has secured multi-billion-dollar research funding, published 29 SCI papers, and holds 34 patents. As an IEEE committee member and editor, he contributes significantly to power electronics and energy systems. ⚙️🔋

Publication Profile

Google Scholar

Education 🎓

Prof. Jianyu Pan holds a Ph.D. in Electrical Engineering from The Ohio State University, Columbus, Ohio, U.S.A., where he studied from August 2014 to August 2019 under the guidance of Prof. Longya Xu (IEEE Fellow). Prior to this, he earned his M.S. in Electrical Engineering from Chongqing University, China, completing his studies between September 2011 and June 2014 under Prof. Ju Tang. His academic journey began at the School of Electrical Engineering, Chongqing University, where he obtained his B.S. in Electrical Engineering from September 2007 to June 2011.

Professional Experience 🏅

Prof. Jianyu Pan has an extensive background in research and academia. From October 2019 to October 2022, he completed his post-doctoral research at Chongqing University, China. Since January 2022, he has been serving as a Professor at the State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University. Previously, from December 2019 to December 2021, he worked as a Lecturer at the same institution. His research experience also includes a tenure as a Research Assistant at the Department of Electricity and Electronics, The Ohio State University, Columbus, U.S.A., from January 2016 to August 2019.

Research Experience

Prof. Jianyu Pan is a distinguished electrical engineer specializing in power electronics, SiC electric drives, and high-voltage energy systems. He serves as a Professor at Chongqing University and has led multiple high-impact research projects, securing billions in funding from organizations like the NSFC, DOE, and Southern Power Grid. His expertise spans power conversion, energy storage, and electrification of transportation systems. With a strong background in SiC-based technologies, he has pioneered innovations in high-efficiency, high-reliability power systems. His contributions are shaping the future of smart grids and sustainable energy solutions. ⚙️⚡🚢✈️

Honors and Awards

Prof. Jianyu Pan has received numerous prestigious honors for his contributions to electrical engineering and power electronics. In 2024, he was recognized as a Chongqing Science and Technology Leader for his pioneering research in high-efficiency power systems. His exceptional work earned him a place in the National Overseas Excellent Youth Program in 2021, highlighting his global impact. In 2020, he was selected for the Chongqing Yingcai Young Top Talents program, reflecting his leadership in innovative research. Additionally, in 2022, he was honored as an Excellent Innovation and Entrepreneurship Mentor for Chongqing University Students, recognizing his dedication to guiding future engineers. 🚀🏆⚡

Research Interest

Prof. Jianyu Pan is a leading researcher in electrical engineering, specializing in power converters, SiC electric drives, and high-voltage discharge protection. His work focuses on high-efficiency, high-power-density power conversion systems, energy generation and storage, and the electrification of ships and aircraft. As a Professor at Chongqing University, he has contributed to cutting-edge research in power electronics. With numerous publications, patents, and major funded projects, he plays a key role in advancing next-generation energy technologies. His expertise drives innovation in sustainable and efficient electrical power systems. ⚙️⚡✈️

Publication Top Notes

1️⃣ Correlation analysis between formation process of SF6 decomposed components and partial discharge qualities – Cited by: 149 (2013) ⚡📄
2️⃣ Decomposition characteristics of SF6 under thermal fault for temperatures below 400°C – Cited by: 103 (2014) 🔥🔬
3️⃣ 7-kV 1-MVA SiC-based modular multilevel converter prototype for medium-voltage electric machine drives – Cited by: 83 (2020) ⚙️🔋
4️⃣ Hardware design of a 1.7 kV SiC MOSFET based MMC for medium voltage motor drives – Cited by: 56 (2018) 🖥️⚡
5️⃣ Relationship between decomposition gas ratios and partial discharge energy in GIS, and the influence of residual water and oxygen – Cited by: 47 (2014) 🏭🧪
6️⃣ Double-vector model predictive control for single-phase five-level actively clamped converters – Cited by: 45 (2019) 🚗⚙️
7️⃣ Influence regularity of trace H₂O on SF6 decomposition characteristics under partial discharge of needle-plate electrode – Cited by: 43 (2015) 💧⚠️
8️⃣ Computationally efficient model predictive control with fixed switching frequency of five-level ANPC converters – Cited by: 41 (2021) 🔄⚡
9️⃣ An optimized model predictive control for three-phase four-level hybrid-clamped converters – Cited by: 40 (2019) 🏎️🔋
🔟 Capacitor voltage ripple estimation and optimal sizing of modular multi-level converters for variable-speed drives – Cited by: 35 (2020) ⚙️🔄