Dr. Binghao OuYang | Optimization | Best Researcher Award

Research assistant at City University of Hong Kong, China

Dr. OuYang Binghao (欧阳炳濠) is a promising early-career researcher specializing in game theory and distributed Nash equilibrium seeking algorithms . Currently pursuing a joint PhD at City University of Hong Kong and University of Science and Technology of China, he holds a strong academic record with a GPA of 3.78/4.3 . His research focuses on fixed-time convergence algorithms for complex control systems, with practical applications in non-cooperative games and Euler-Lagrange systems . Dr. OuYang has earned several awards, including a gold medal at the National College Student Innovation Competition and recognition as an outstanding undergraduate graduate. Skilled in Python, C++, and Matlab, he also applies reinforcement and deep learning techniques to advance his research . With a solid mathematical foundation and innovative approach, Dr. OuYang is a rising talent in control science and engineering, poised to make significant contributions to his field.

Professional Profile

ORCID Profile

Education

Dr. OuYang Binghao (欧阳炳濠) has pursued a rigorous academic path in engineering and control science. He earned his Bachelor’s degree in Automation from the University of Science and Technology of China (USTC) (2016–2020) , followed by PhD studies in Control Science and Engineering (2020–2022) with a GPA of 3.50/4.3 . Currently, he is completing a Joint PhD in Biomedical Engineering and Control Science at City University of Hong Kong and USTC, maintaining an impressive GPA of 3.78/4.3 . Guided by Professors Feng Gang and Wang Yong, his education blends theoretical depth with applied research, equipping him to tackle complex engineering challenges across interdisciplinary domains .

Professional Experience

Dr. OuYang has demonstrated practical innovation from early in his academic career. In 2020, his excellent undergraduate graduation project involved the development of a fingerprint attendance system . Later, in 2021, he participated in the China International College Students Innovation Competition, helping design a motion perception and high-precision positioning system, which won a gold award . From 2022–2023, he conducted research at City University of Hong Kong focused on distributed Nash equilibrium seeking in non-cooperative games . His hands-on experience bridges theoretical modeling and real-world applications, showcasing a promising blend of technical creativity and research diligence .

Research Interest

Dr. OuYang’s core research areas include game theory, distributed Nash equilibrium algorithms, and fixed-time convergence strategies for control systems . He is particularly focused on solving equilibrium-seeking problems in constrained and dynamic non-cooperative games, as well as Euler-Lagrange systems . With expertise in reinforcement learning, deep learning, and optimization, his work integrates modern computational tools to address long-standing challenges in control science . His interest in convergence algorithms extends to real-time systems, offering broad applications in autonomous systems, multi-agent robotics, and decentralized networks . His work is driven by a strong mathematical foundation and a vision for robust and scalable algorithm design .

Awards and Honors

Dr. OuYang has received multiple honors reflecting both academic excellence and innovation . He earned the Outstanding Undergraduate Graduate award from USTC in 2020, recognizing his stellar academic performance . His graduation project was named an Excellent Graduation Project, and he secured First-Class Graduate Scholarships in both 2020 and 2021 . In 2021, he won a Gold Award in the National College Student Innovation Competition for his contributions to a motion perception and positioning system . Earlier, in 2019, he received the Second Prize in the NXP Cup Intelligent Car Competition . These recognitions affirm his technical competence, creativity, and dedication to impactful research and development.

Conclusion

Dr. OuYang Binghao stands out as a dynamic and skilled researcher, combining academic excellence with practical innovation . With a strong educational background, impactful project work, and research in high-impact areas such as game theory and fixed-time algorithms, he exhibits the qualities of a future leader in engineering and control systems . His proficiency in programming, AI integration, and control dynamics, along with international research exposure, positions him as a valuable contributor to the global research community . Dr. OuYang’s trajectory reflects not only promise but also a clear commitment to solving critical real-world problems through mathematics, computation, and collaborative research ..

Publication Top Notes

Title: Vertically Oriented Micron-Thick Perovskite Film Enables Efficient and Stable Inverted Perovskite Solar Cells

Authors: Bing-Hao Lv, Yong-Chun Ye, Jun-Gan Wang, Liu-Jiang Zhang, Yu-Hang Zhang, Ming-Li Zheng, Xian-Min Chen, Hui-Wei Du, Jie Yang, Xin-Yu Zhang, Meng-Lei Xu, Qiu-Feng Ye, Xingyu Gao, Jian-Xin Tang, Yongbing Tang

Year: 2025

Source: Chemical Engineering Journal, Volume 511, Article 161966CoLab

DOI: 10.1016/j.cej.2025.161966

Citation Metrics:

Impact Factor: 13.3
CiteScore: 21.7
SJR (SCImago Journal Rank): 2.852
Journal Quartile: Q1Wiley Online Library+1advanced.onlinelibrary.wiley.com+1

Prof. Liangliang Sun | Optimization | Best Researcher Award

Dean at Northeastern University, China

Prof. Liangliang Sun is a distinguished scholar in control theory and intelligent scheduling systems, currently serving at Northeastern University, China . With a robust academic background including a Ph.D. from both Northeastern University and the University of Connecticut , he has cultivated deep expertise in steelmaking-continuous casting optimization, energy systems, and industrial automation . His prolific research spans over 18 high-impact publications , multiple national-level projects , and several patented innovations . Prof. Sun has earned accolades such as the Xingliao Talent Plan and has been a two-time champion in China’s prestigious Challenge Cup competitions. His contributions extend into teaching, editorial responsibilities , and international collaborations . Known for integrating theory with real-world industrial applications , he bridges gaps between research and practice seamlessly. As a dynamic thought leader in control engineering and smart manufacturing, Prof. Sun continues to inspire innovation and academic excellence across global platforms .