Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Wuxi University, China.

Dr. Wang Lei is an Associate Professor at Wuxi University, specializing in intelligent control systems. With a strong background in artificial intelligence applications in automation, he has led over 10 major research projects, published more than 30 peer-reviewed papers, and holds 20+ patents and 11 software copyrights. He has international training experience in Thailand, Taiwan, Poland, and the UK, enriching his global academic perspective.

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πŸŽ“ Education

Dr. Wang Lei pursued extensive academic training, including joint doctoral programs funded by China’s national β€œ111 Plan”, conducting research in institutions like Green Mountain University (Poland) and the University of Southampton (UK). His master's studies included training at Prince Songkhla University (Thailand) and Yunlin University of Science and Technology (Taiwan).

πŸ’Ό Experience

Currently an Associate Professor at Wuxi University, Wang Lei has spearheaded numerous provincial and national research projects, including collaborations with the Ministry of Education, Wuxi Science and Technology Bureau, and the National Natural Science Foundation of China. His editorial roles include reviewing for journals like International Journal of Robust and Nonlinear Control and Security and Communication Networks.

πŸ”¬ Research Interests

His research focuses on the application of artificial intelligence in automatic control systems, covering areas such as iterative learning control, dynamic observers, fuzzy systems, and actuator fault tolerance.

πŸ† Awards & Patents

Principal investigator of 10+ funded projects including Jiangsu Provincial Natural Science and Wuxi β€œLight of Taihu Lake” programs.

Holder of 20+ patents, including β€œA trajectory tracking method for non-repetitive time-varying systems”.

Recognized with support from national initiatives such as the β€œ111 Plan”.

πŸ“š Notable Publications

πŸ†• 2025

Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults
πŸ“˜ Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
πŸ”— DOI: 10.1177/09596518241263003
πŸ‘₯ Yanxia Shen, Wei Zou, Lei Wang

πŸ”¬ 2024

An innovative dynamic observer for nonlinear interconnected systems with uncertainties
πŸ“˜ Transactions of the Institute of Measurement and Control
πŸ—“ Published: 2024-10-23
πŸ”— DOI: 10.1177/01423312241274007
πŸ‘₯ Nan Ji, Lei Wang, Xinggang Yan, Dezhi Xu

Iterative learning control with parameter estimation for non-repetitive time-varying systems
πŸ“˜ Journal of the Franklin Institute
πŸ—“ Published: 2024-02
πŸ”— DOI: 10.1016/j.jfranklin.2024.01.011
πŸ‘₯ Lei Wang, Ziwei Huangfu, Ruiwen Li, Xiewen (Sitman) Wen, Yuan Sun, Yiyang Chen

πŸ“Š 2023

Design of robust fuzzy iterative learning control for nonlinear batch processes
πŸ“˜ Mathematical Biosciences and Engineering
πŸ”— DOI: 10.3934/mbe.2023897
πŸ‘₯ Wei Zou, Yanxia Shen, Lei Wang

A Soft Actor-Critic Approach for a Blind Walking Hexapod Robot with Obstacle Avoidance
πŸ“˜ Actuators
πŸ—“ Published: 2023-10-21
πŸ”— DOI: 10.3390/act12100393
πŸ‘₯ Lei Wang, Li Ruiwen, Ziwei Huangfu, Yishan Feng, Yiyang Chen

Fully Distributed, Event-Triggered Containment Control of Multi-Agent Systems
πŸ“˜ Applied Sciences
πŸ—“ Published: 2023-10-07
πŸ”— DOI: 10.3390/app131911039
πŸ‘₯ Lei Wang, Guanwen Chen, Tai Li, Ruitian Yang

Slowness or Autocorrelation? A serial correlation feature analysis method
πŸ“˜ Journal of Process Control
πŸ—“ Published: 2023-01
πŸ”— DOI: 10.1016/j.jprocont.2022.11.010
πŸ‘₯ Qinghua Li, Zhonggai Zhao, Lei Wang

Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award

Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award

Universidad de Chile, Chile.

Javier Ruiz-del-Solar S. is a Chilean Full Professor at the Department of Electrical Engineering, Universidad de Chile, and Director of the Advanced Mining Technology Center. With a deep passion for robotics, AI, and mining tech, he has made remarkable contributions to academia and industry, mentoring the next generation of engineers and researchers.

Profile

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πŸŽ“ Education

Prof. Dr. Javier Ruiz-del-Solar is a distinguished academic with a strong foundation in electrical and electronic engineering. He earned his Doctor-Engineer degree from the Technical University of Berlin, Germany in 1997. Prior to that, he obtained his M.Sc. in Electrical Engineering in 1992 and his undergraduate degree in Electrical Engineering in 1991 from the Universidad TΓ©cnica Federico Santa MarΓ­a, Chile. His academic trajectory reflects a solid commitment to excellence in engineering and research.

πŸ§‘β€πŸ”¬ Experience

Prof. Dr. Javier Ruiz-del-Solar has held numerous prominent academic and editorial positions throughout his career. He serves as a Full Professor at the Universidad de Chile, where he also directs the Advanced Mining Technology Center. His editorial contributions include being an Associate Editor for the IEEE Transactions on Cognitive and Developmental Systems (2017–2023) and a current Advisory Board Member of the Journal of Field Robotics (2022–2024). He also served as an Associate Editor for the Journal of Intelligent and Robotic Systems (2008–2017). In addition, Prof. Ruiz-del-Solar has been the Chairman of the IEEE Latin American Robotics Council since 2003, contributing significantly to the development of robotics research and collaboration across the region.

πŸ” Research Interests

His work lies at the intersection of:

πŸ€– Robotics & Autonomous Systems

🧠 Artificial Intelligence & Deep Learning

⛏️ Mining Technology and Automation

πŸ† Awards & Honors

πŸ… Member, Chilean Academy of Engineering (since 2009)

πŸ₯‡ Best Paper Award, RoboCup Symposium (2004, 2015, 2017)

πŸš€ RoboCup @Home Innovation Award (2007, 2008)

🎀 IEEE Distinguished Lecturer (2008–2009)

πŸ‘¨β€πŸ« Best Teacher Award, Universidad de Chile (2007)

πŸ“š Selected Publications

πŸ› οΈ Autonomous & Collaborative Mining Systems

1. The Road to the Mine of the Future: Autonomous Collaborative Mining

Journal: Mining (April 2025)
DOI: 10.3390/mining5020025
Key Themes:

Vision of fully autonomous, cooperative mining systems.

Integrates robotic systems, multi-agent collaboration, and intelligent decision-making.

Emphasis on safety, productivity, and sustainability in future mining operations..


πŸ€– Reinforcement Learning in Mining

2. Autonomous Loading of Ore Piles with Load-Haul-Dump Machines Using DRL

Journal: Expert Systems with Applications (March 2025)
DOI: 10.1016/j.eswa.2024.125770
Highlights:

Application of deep reinforcement learning to optimize ore loading in underground mining.

Demonstrates efficiency gains and reduced human intervention.

3. Control of Heap Leach Piles Using Deep Reinforcement Learning

Journal: Minerals Engineering (July 2024)
DOI: 10.1016/j.mineng.2024.108707
Highlights:

Uses DRL to optimize irrigation and aeration in heap leaching.

Potential for smarter, real-time process control in hydrometallurgy.


πŸ’ AI and Robotics Beyond Mining

4. Cherry CO Dataset: Detection, Segmentation, and Maturity Recognition

Journal: IEEE Robotics and Automation Letters (June 2024)
DOI: 10.1109/LRA.2024.3393214
Focus:

High-quality dataset for precision agriculture using computer vision.

Supports cherry detection and ripeness classification.