Lijun Chen
Department of Computer Science
University of Colorado at Boulder
Boulder, CO 80309-0430
Office: ECCR 1B12
Tel: 303-492-4384
Fax: 303-492-1112
Email: lijun.chen[at]colorado.edu
I am an Associate Professor of Computer Science at the University of Colorado at Boulder. I received PhD in Control and Dynamical Systems from the California Institute of Technology, advised by Profs. John Doyle and Steven Low. I was a Research Scientist at the same institute before joining the University of Colorado.
My research focuses on building rigorous foundations and developing new methodologies in optimization and systems theory for the control and learning of complex engineering systems. These systems are large-scale with interconnected, active, and possibly self-interested components, operate with incomplete information and in uncertain environments, and must achieve certain desired network-wide objectives or collective behaviors. Problems associated with such systems are typically large, computationally hard, and require distributed solutions; yet they are also very structured and have features that can be exploited by appropriate computational methods. My research focuses on developing optimization approaches for such problems, and brings together optimization, systems theory, and domain-specific knowledges for exploring structures of the underlying problems and systems and leveraging them for the principled design of control and learning architectures and algorithms.
Research interests
- Optimization, control, and learning of networked systems, autonomous systems, and quantum systems
- Distributed optimization and algorithms
- Learning and sequential decision-making
- Game theory and its engineering applications
- Theoretical foundation of complex engineering systems
Courses
- Algorithms (Fall 2017, Fall 2018, Spring 2020, Spring 2022, Fall 2024)
- Convex Optimization and Its Applications (Fall 2014, Fall 2015, Spring 2017, Spring 2018, Spring 2019, Fall 2020, Fall 2021, Fall 2023, Fall 2024)
- Advanced Topics in Quantum Computing and Information (Spring 2024, Fall 2024)
- Advanced Topics in Machine Learning (Fall 2023)
- Learning and Sequential Decision-Making (Fall 2021)
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Analytical Foundations of Networks (Fall 2012, Fall 2013)
- Data Communications (Spring 2013)
- Network Analysis Techniques (Fall 2014)
- Networks: Economics and Dynamics (Spring 2015)
- Online Optimization and Active Learning (Fall 2016)