Edwin Chong

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College

Walter Scott, Jr. College of Engineering

Department

Electrical & Computer Engineering

Category

Machine Learning

Areas of Expertise

Applied research methods, Decision making

Chong, Professor and Head of Electrical and Computer Engineering, specializes in machine learning, defense applications, stochastic – or probabilistic – models, decision making under uncertainty, optimization and engineering education.

His research spans three main areas: foundational algorithms, approximating optimal solutions and targeted application domains. Chong’s work integrates optimization and stochastic methods to tackle complex problems in diverse fields such as telecommunication networks, power systems, food security, smart manufacturing and health services. He has authored more than 150 peer-reviewed journal articles and 265 conference papers and presentations, showcasing his expertise in systems and control, robotics, signal processing, cybersecurity, artificial intelligence and more.

Chong earned his B.E. with honors in Electrical and Electronics Engineering from the University of Adelaide and his M.A. and Ph.D. in Electrical and Computer Engineering from Princeton University. He served on the faculty at Purdue University before joining CSU. He is also a Fellow of IEEE.