معرفی
Chaomin Luo is an Associate Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), part of the Bagley College of Engineering. His research focuses on Robotics, Autonomous Systems, Computational Intelligence, Machine Learning, Control Systems, and Embedded Systems. He holds a Ph.D. from the University of Waterloo, Canada (Electrical and Computer Engineering), an M.Sc. from the University of Guelph (Engineering Systems and Computing), and a B.S. from Southeast University, China (Electrical Engineering).
His work emphasizes bio-inspired algorithms for robot navigation, graph-based path planning, and human-autonomy teaming. Notable contributions include models for integrated robotic systems, underwater vehicle navigation, and safety-aware crowd-avoidance systems. He also develops pedagogical methods to enhance student learning in robotics and computer engineering topics like MIPS instruction set design and datapath optimization.
Research highlights include:
- Autonomous systems integration with cognitive mapping and digital twin technology
- Multi-agent navigation algorithms using RRT*-smart and simulated annealing approaches
- Process monitoring via low-rank projections and fractal analysis
- Brain-computer interfaces for unmanned vehicle control
His teaching responsibilities include courses related to embedded systems (VLSI/FPGA design) and robotics. His research has been published in over 50 peer-reviewed articles since 2018, with a focus on sustainable manufacturing systems, bio-inspired intelligence applications, and mechatronic systems optimization.
