Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

Published on by Network Science

Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

Dr. Kunpeng zhang distinguished academic and researcher in the field Evolutionary computing. Dr. Kunpeng Zhang is a highly accomplished researcher with significant contributions to the field of multimedia
tools, applications, and intelligent vehicle technologies. He has co-authored numerous influential papers,
particularly in areas like defect detection on vehicle paint, multi-object tracking, and feature selection optimization.
Dr. Zhang’s work often involves advanced algorithms such as MobileNet-SSD, APF-ACO, and IBGJO,
showcasing his expertise in improving computational efficiency and accuracy in real-world applications. His
research is well-cited, reflecting the impact of his contributions to the academic community.

🌐 Professional Profile

Educations📚📚📚

He has a comprehensive educational background, currently pursuing a Ph.D. in Computer Application Technology at the School of Computer Science and Technology, Jilin University, Changchun, since September 2018. Prior to this, he completed a Master’s in Electrical Engineering from the School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, between September 2015 and June 2018. He holds a Bachelor’s degree in Network Engineering from the same institution, earned between September 2011 and June 2015. Additionally, he completed a Bachelor’s in Engineering Management with a focus on International Engineering Management from the School of Economics and Management, Jilin Jianzhu University, Changchun, during the same period.

Research Experience:

  • Significant contributions to the field of multimedia tools, applications, and intelligent vehicle technologies.
  • Co-authored numerous influential papers, particularly in areas like defect detection on vehicle paint, multi-object tracking, and feature selection optimization.

Research Output and Impact:

  • Published 13 journals in SCI and SCIE index and 7 in other indexed journals.
  • Citation index of 107 and an H-index of 13, indicating a substantial impact in the research community.
  • Cumulative impact factor of 43.4 over the last three years.

Innovations:

  • Development of advanced algorithms such as MobileNet-SSD, APF-ACO, and IBGJO.
  • Focus on improving computational efficiency and accuracy in real-world applications.

Projects and Collaborations:

  • Completed and ongoing involvement in 13 research projects.
  • Engaged in 7 consultancy and industry-sponsored projects.
  • Involvement in 3 collaborative research activities.

Recognition and Professional Engagement:

  • Editorial appointments in 2 journals/conferences.
  • Actively collaborates across disciplines, bridging the gap between theoretical advancements and industry needs.
  • Given Dr. Zhang’s significant research contributions, impactful publications, innovative work in algorithm development, and active engagement in the academic and industrial community, she is well-positioned as a strong candidate for the Best Researcher Award

📝🔬Publications📝🔬

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

Published on by Network Science

Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224