| Prof. Yong ChenUniversity of Electronic Science and Technology of China, China IEEE Senior Member, academic and technical leader of Sichuan Province, member of the professional committee on fault diagnosis and safety of technical process of China Automation Society, member of the special committee on data-driven control, learning and optimization of China Automation Society, member of the special committee on trusted control system of China Automation Society, member of the special committee on charging and driving technology of new energy vehicles of China Power Supply Society, and senior member of China Electrical Engineering Society. Main research interests: advanced control technology, electrical control, network control system, pattern recognition, fault detection and fault tolerance, safety control of new energy vehicles and intelligent transportation. In recent five years, he has undertaken more than 10 national projects, 20 provincial projects and 40 horizontal projects of enterprises, and has published more than 100 papers in famous journals and international conferences at home and abroad, 70 papers have been retrieved by SCI, and more than 40 papers have been published by IEEEtrans. 115 patents were applied, 82 were authorized and 3 were transferred. |
| Prof. Akash SaxenaCentral University of Haryana, India He is an active researcher in computational intelligence, numerical optimization, and machine learning, with a strong emphasis on their applications in power engineering and other practical domains. His research is primarily focused on developing application-oriented solutions that benefit both society and industry. He has published several papers in Q1 journals and has recently proposed a supervised architecture based on Air Quality Index values for classifying ambient air quality across different regions of India. Over the past three years, he has also worked on multiple projects involving metaheuristic optimization algorithms, leading to several Q1 journal publications with Elsevier. In addition, he has completed two government-funded research projects sponsored by Rajasthan Technical University on protein structure prediction and environmental studies using metaheuristic and machine learning techniques. He is keen to further explore the application of artificial intelligence and machine learning in real-world problems. |
