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YangQuan Chen

Prof. YangQuan Chen

University of California - Merced

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YangQuan Chen earned his Ph.D. from Nanyang Technological University, Singapore, in 1998. He was a faculty member of Electrical Engineering at Utah State University (USU) from 2000 to 2012. He joined the School of Engineering, University of California, Merced (UCM), in the summer of 2012, teaching Mechatronics, Engineering Service Learning, and Unmanned Aerial Systems for undergraduates and Fractional Order Mechanics, Nonlinear Controls, and Advanced Controls: Optimality and Robustness for graduates. His research interests include mechatronics for sustainability, cognitive process control (smart control engineering via digital twins), small multi-UAV-based cooperative multi-spectral “personal remote sensing”, applied fractional calculus in controls, modeling and complex signal processing, distributed measurement and control of distributed parameter systems with mobile actuators, and sensor networks. He was listed in the Highly Cited Researchers by Clarivate Analytics in 2018, 2019, 2020, and 2021. He has received Research of the Year awards from both USU (12) and UCM (20).

Research Keywords & Expertise

Cyber-Physical Systems
Impedance Matching
Precision Agriculture
Fractional Calculus an...
Unmanned Aerial System...

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6%
Fractional Calculus and Applications
5%
Unmanned Aerial Systems
5%
Cyber-Physical Systems
5%
Precision Agriculture
5%
Digital Twin
5%
Impedance Matching

Short Biography

YangQuan Chen earned his Ph.D. from Nanyang Technological University, Singapore, in 1998. He was a faculty member of Electrical Engineering at Utah State University (USU) from 2000 to 2012. He joined the School of Engineering, University of California, Merced (UCM), in the summer of 2012, teaching Mechatronics, Engineering Service Learning, and Unmanned Aerial Systems for undergraduates and Fractional Order Mechanics, Nonlinear Controls, and Advanced Controls: Optimality and Robustness for graduates. His research interests include mechatronics for sustainability, cognitive process control (smart control engineering via digital twins), small multi-UAV-based cooperative multi-spectral “personal remote sensing”, applied fractional calculus in controls, modeling and complex signal processing, distributed measurement and control of distributed parameter systems with mobile actuators, and sensor networks. He was listed in the Highly Cited Researchers by Clarivate Analytics in 2018, 2019, 2020, and 2021. He has received Research of the Year awards from both USU (12) and UCM (20).