Wang, Wenbo | 王闻博, PhD

Associate Professor
Faculty of Mechanical and Electrical Engineering
Kunming University of Science and Technology
Kunming, Yunnan 650500, China
E-mail: wenbo_wang (AT) kust.edu.cn

“多闻而体要，博见而善择” – 葛洪 (Ge Hong),《抱朴子·内篇·微旨》(The Master Who Embraces Simplicity), A.D. 283-343

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BIOGRAPHY

I’m an Associate Professor with the Faculty of Mechanical & Electrical Engineering, Kunming University of Science and Technology (KUST), Kunming, China. I received the B.S. and M.S. degrees from School of Automation, Beijing Institute of Technology, Beijing, China, and the Ph.D. degree in Computing and Information Sciences from B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA. Before I joined KUST, I held the position of Research Fellow first with the School of Computer Science and Engineering, Nanyang Technological University, Singapore, and then with the Faculty of Engineering, Bar Ilan University, Israel. I was listed in Stanford University’s 2024 World’s Top 2% Scientists list.

Research Interests

  • Mechanism design for Industrial Internet of Things (IIoTs).
  • Prescriptive health management and planning in intelligent manufacturing.
  • Machine learning for signal processing and decision-making.
  • Agent AI for autononous vehicles.

NEWS

  • November 01, 2025: a student paper “Distributed State Estimation with Two Event- triggered Communication Strategies via Internet of Underwater Things,” was accepted by IEEE Internet of Things Journal, see the source code for simulation experiments: [Simulation Code].
  • September 15, 2025, a student paper “Deep learning-based prediction of optimal surface texturing parameters for water-lubricated SiC” was accepted by Journal of Tribology international.
  • July 30, 2025, a student paper “An End-to-End UAV Obstacle Avoidance Approach Fusing Wavelet Convolution and KAN Networks” was awarded the Poster Paper Award by the 44th Chinese Control Conference, Chongqing, China.
  • June 21, 2025, a student paper “WiFi Signal-Based Human Activity Recognition Using Bidirectional Mamba Models” was accepted by 2025 IEEE 11th World Forum on Internet of Things (WF-IoT). See the source code for simulation experiments: [Source Code].