Dr. Jun Liu

Associate Professor

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Biography

Jun Liu is an Associate Professor at the University of Waterloo, where he directs the Hybrid Systems Laboratory. He holds a B.S. degree in Applied Mathematics from Shanghai Jiao-Tong University, an M.S. in Mathematics from Peking University, and a Ph.D. in Applied Mathematics from the University of Waterloo. His previous appointments include Lecturer in Control Systems Engineering at the University of Sheffield and Postdoctoral Scholar at the California Institute of Technology. Jun's research focuses on hybrid systems control theory, formal methods for control design, optimization, and learning dynamics control, with applications in robotics and cyber-physical systems.

Research Interests

Experience

Associate Professor

— Present

University of Waterloo • Waterloo, ON, Canada

Directing the Hybrid Systems Laboratory and conducting research on hybrid systems control.

Assistant Professor

— Present

University of Waterloo • Waterloo, ON, Canada

Engaged in teaching and research in applied mathematics.

Lecturer

— Present

University of Sheffield • Sheffield, UK

Taught courses in control systems engineering.

Postdoctoral Scholar

— Present

California Institute of Technology • Pasadena, CA, USA

Conducted research in control and dynamical systems.

Awards

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NSERC Canada Research Chair

#

NSERC Discovery Grant

#

CAIMS/PIMS Early Career Award

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Ontario MRIS Early Researcher Award

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NSERC Canada Research Chair

#

IFAC Journal Nonlinear Analysis: Hybrid Systems Paper Prize

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NSERC Discovery Grant

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EU Marie Curie Career Integration Grant

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Royal Society International Exchange Grant

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NSERC Postdoctoral Fellowship

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.