Special Interview with Dr. Shenghuang He
On Aug 15, 2024, the Editorial Office of Complex Engineering Systems (CES) conducted an interview with Dr. Shenghuang He of the Dongguan University of Technology, China.
Dr. He introduced their research direction in multi-system control and key achievements including memory synchronization and distributed dynamic event-triggered control published in notable journals. Main challenges were identified as data-driven control development and ensuring system safety in critical infrastructure. Future trends focus on intelligent autonomous learning systems and human-machine collaborative control. He acknowledged two influential professors who assisted in academic development. Suggestions for journal improvement included strategic topic planning, author support mechanisms, and editorial training. Expectations were expressed for the journal to gain higher academic recognition and achieve digital transformation for better online services.
Watch the following video for expert insights from Dr. Shenghuang He:
Interview Questions:
Q1. Could you please introduce the main research directions and recent key achievements of your research group?
Q2. As an expert in control theory, what do you think are the main challenges in the field currently? What are the future trends?
Q3. Could you share any people or events in your academic career that have had a profound impact on you?
Q4. Do you have any suggestions for the CES journal? How can we enhance its influence and quality?
Q5. What are your expectations for the future development of the CES journal?
About Dr. Shenghuang He:
Dr. Shenghuang He is a Lecturer in the School of Computer Science and Technology at Dongguan University of Technology, China. He received his Ph.D. degree in Control Science and Engineering from Guangdong University of Technology in 2021, where he also obtained his Master's degree in 2018. From 2021 to 2023, he worked as a Postdoctoral Research Fellow in Control Science and Engineering at Shanghai Jiao Tong University. His main research interests include artificial intelligence, multi-agent systems, cooperative control, sliding mode control, event-triggered control, formation control, and fault diagnosis. Dr. He has presided over and participated in several national and provincial research projects, including the Ningbo Natural Science Foundation, the National Natural Science Foundation of China, and the National Key R&D Program of China, focusing on intelligent diagnosis, multi-robot coordination, and autonomous system control. He has published more than 30 SCI-indexed journal papers and holds over 10 invention patents in related fields.
Editor: Yoyo Bai
Production Editor: Ting Xu
Respectfully Submitted by the Editorial Office of Complex Engineering Systems
