Prof. Dr. Bonan Huang | Integrated Energy Systems | Best Researcher Award
Northeastern University | China
Huang B. is a Professor in the Department of Information Science and Engineering at Northeastern University, P.R. China, with extensive research in collaborative control, optimization theory, and applications in energy-computing integrated systems, Energy Internet, smart grids, and cyber-physical power systems. Over his career, he has led and contributed to numerous national and provincial research projects, published extensively in high-impact journals, and delivered innovative solutions bridging theory and application. His work has earned multiple prestigious awards, including national science and technology recognitions and international invention medals, reflecting his impact in both academic and industrial domains. Beyond research, Huang plays active roles in professional committees under the Chinese Society of Automation, contributing to advancements in energy internet technologies and adaptive dynamic programming. He is also an experienced educator, teaching courses in power systems, energy management, and electrical engineering, shaping the next generation of researchers and engineers in the field.
Profile:
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Education:
Huang B. earned his Ph.D. in Control Theory & Control Engineering from Northeastern University, P.R. China, where he developed advanced expertise in control systems design, optimization algorithms, and their integration into large-scale energy systems. His doctoral research built on a strong academic foundation laid during his M.S. studies in Control Theory & Control Engineering at the same institution, focusing on distributed control strategies and adaptive system modeling. He began his higher education at Tianjin University, P.R. China, obtaining a B.S. degree in Electronic and Information Engineering, where he gained comprehensive training in electronics, communication systems, and signal processing. This combination of electrical engineering fundamentals, control theory specialization, and energy system applications forms the basis of his multidisciplinary approach to research. His educational journey has been instrumental in equipping him with the technical depth and analytical skills required to address complex problems in smart grids, energy internet technologies, and cyber-physical power systems.
Experience:
Huang B. has been a Professor at the Department of Information Science and Engineering, Northeastern University, P.R. China, leading cutting-edge research in energy internet and collaborative optimization. he served as an Associate Professor in the same department, where he advanced his research profile through national-level projects and industry collaborations. Earlier, he undertook postdoctoral research at Northeastern University, contributing to novel control methods for distributed energy systems. His teaching portfolio includes courses such as Power System and Its Automation, Economic Dispatch and Energy Management of the Energy Internet, and Electrical Engineering, which reflect his research expertise. Beyond academia, he has been actively engaged in professional service, serving on committees of the Chinese Society of Automation, including the Energy Internet Specialized Committee and the Adaptive Dynamic Programming and Reinforcement Learning Professional Committee, contributing to national standards and research roadmaps in emerging energy technologies.
Awards and Honors:
Huang B.’s research focuses on collaborative control and optimization theory, with particular emphasis on applications in energy-computing integrated systems, Energy Internet architectures, smart grids, and cyber-physical power systems. His work addresses distributed control strategies, multi-agent coordination, and optimization in multi-energy systems, aiming to enhance efficiency, resilience, and sustainability. He integrates control theory with emerging technologies such as blockchain, adaptive dynamic programming, and event-triggered communication to solve real-world energy management problems. His research also spans low-carbon energy systems, renewable energy trading, and resilient operation under cyber-attacks, contributing to the development of secure and efficient future power grids. By combining theoretical rigor with application-oriented problem-solving, his work bridges gaps between control engineering, electrical power systems, and data-driven optimization. Huang’s contributions have significant implications for the design of intelligent, flexible, and environmentally friendly energy networks that meet modern demands for reliability, cost-effectiveness, and environmental sustainability in global energy transformation.
Publication:
Title: Power quality disturbance signal classification in microgrid based on kernel extreme learning machine
Year: 2024
Citations: 2
Title: Adaptive Event-Triggered Time-Varying Output Group Formation Containment Control of Heterogeneous Multiagent Systems
Year: 2024
Citations: 12
Title: Distributed dynamic event-triggered control for resilience-oriented current sharing in microgrid
Year: 2024
Citations: 2
Title: Pricing Game and Blockchain for Electricity Data Trading in Low-Carbon Smart Energy Systems
Year: 2024
Citations: 60
Title: Distributed collaborative optimization dispatch in new power systems: A survey
Year: 2025
Title: Distributed Control Strategy for Automatic Power Sharing of Hybrid Energy Storage Systems with Constant Power Loads in DC Microgrids
Year: 2025
Title: Dynamic event-triggered extended dissipative scaled consensus control for nonlinear multi-agent systems
Year: 2025
Title: Distributed Event-Triggered Control for Current Sharing in DC Microgrid With Random Packet Losses
Year: 2025
Title: Clustered Federated Learning for Energy-Harvesting Smart Meters in P2P Energy Trading
Year: 2025
Conclusion:
Dr. Huang B. stands out as a highly deserving candidate for the Best Researcher Award. His sustained excellence, combined with his ability to translate theoretical advancements into impactful applications, reflects the qualities of a world-class researcher whose work continues to advance the frontiers of energy systems and control engineering.