Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

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.

 

M Prabhakar | Electrical Engineering | Best Researcher Award

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Dr. M Prabhakar | Electrical Engineering | Best Researcher Award

Dr. M Prabhakar, Vellore Institute of Technology, Chennai, India

Dr. M. Prabhakar is a distinguished academic in Electrical and Electronics Engineering with over 23 years of teaching and research experience. He earned his B.E. from the University of Madras, M.E. from Bharathidasan University, and Ph.D. from Anna University. Currently a Professor at Vellore Institute of Technology, he is associated with the Centre of Smart Grid Technologies. Dr. Prabhakar has co-authored over 50 high-impact research articles and received multiple awards, including the Outstanding Teacher Award (2009) and continuous Research Awards since 2012. His research interests include power electronics and DC microgrids. ⚡️📚🏆

Publication Profile

Scopus

Educational Background

Dr. M. Prabhakar earned his B.E. degree in Electrical and Electronics Engineering in 1998 from the University of Madras, Chennai, India. He further pursued his M.E. degree in Power Electronics and Drives from Bharathidasan University, Tiruchirappalli, India, in 2000. His commitment to academic excellence culminated in a Ph.D. degree in Electrical Engineering from Anna University, Chennai, India, in 2012. This solid educational foundation has equipped him with the technical expertise essential for a successful research career.

Professional Experience

Dr. Prabhakar has made significant contributions to the field of electrical engineering. Since 2012, he has served as an Associate Professor at the School of Electrical Engineering (SELECT) at Vellore Institute of Technology, Chennai, India, and has held the position of Professor since 2019. Additionally, he has been associated with the Centre of Smart Grid Technologies since May 2022, where he engages in cutting-edge research and technology development.

Research Contributions

Dr. Prabhakar has co-authored more than 50 research articles in various high-impact factor journals and conferences, showcasing his active engagement in advancing the field of electrical engineering. His research interests focus on power electronics, power converters, high-gain DC-DC converters, and DC microgrids. These areas are critical for the development of sustainable and efficient energy systems. He has also received a seed grant of Rs. 4.53 lakhs from Vellore Institute of Technology, Chennai, India, to support his innovative research initiatives.

Recognition and Awards

Dr. Prabhakar’s exceptional contributions have been recognized through multiple awards. He received the Outstanding Teacher Award in 2009 for his exemplary teaching and research contributions. Moreover, he has continuously been a recipient of the Research Award from Vellore Institute of Technology, Chennai, for his sustained research excellence since 2012. His role as an active reviewer for various reputed journals further underscores his commitment to maintaining high research standards in the field.

Conclusion

Dr. M. Prabhakar stands out as a highly suitable candidate for the Research for Best Researcher Award due to his extensive academic background, significant research contributions, and recognition in the field of electrical engineering. His dedication to teaching and continuous pursuit of research excellence not only benefit his students but also contribute to advancements in power electronics and smart grid technologies. His innovative work and commitment to academic integrity position him as a leading figure deserving of this prestigious award.

 

Publication Top Notes  

  1. Non-isolated high gain DC–DC converter with ripple-free source current (2024) – Cited by 1 🔗
  2. High gain DC-DC converters for photovoltaic applications (2024) – Cited by 0 📚
  3. Modelling, design and control of power electronic converters for smart grids and electric vehicle applications (2024) – Cited by 0 ⚡
  4. Reconfigurable high step-up DC to DC converter for microgrid applications (2024) – Cited by 6 🔄
  5. High gain interleaved boost-derived DC-DC converters – A review on structural variations, gain extension mechanisms and applications (2024) – Cited by 2 🔍
  6. Dual-input step-up switched-capacitor multilevel inverter with reduced voltage stress on devices (2024) – Cited by 0 🔌
  7. High gain interleaved DC-DC converter with ripple-free input current and low device stress (2024) – Cited by 1 📉
  8. Performance Analysis of Asymmetric High Gain Multi-Input Converter under Widely Fluctuating Inputs (2023) – Cited by 0 📊
  9. Interleaved Cubic Boost Converter (2023) – Cited by 1 📘
  10. Design and Simulation of Coupled Inductor-Based Asymmetric High Gain Multi-input DC–DC Converters (2023) – Cited by 1 🛠️