About the Lab
Autonomous Systems @ SJSU is a research group in the Computer Science Department at San Jose State University, part of the California State University system. The lab investigates path planning, multi-robot coordination, and learning-based decision making for autonomous systems, with a focus on producing trajectories that are smooth, safe, and efficient in cluttered, real-world environments.
Research Interests
Our work lies at the intersection of Artificial Intelligence, Machine Learning, Multi-Robot Systems, and Autonomous Driving. We are particularly interested in path planning and optimization for robotic systems.
Recent and ongoing projects include convex optimization techniques to generate smooth and collision-free trajectories for single- and multi-robot systems, deterministic shortcut smoothing, and quadratic Bézier curves with C² continuity for higher-quality, curvature-bounded paths. We also explore reinforcement learning approaches such as Q-learning for multi-agent path planning.
About the PI
Maryam Khazaei is an Assistant Professor in the Computer Science Department at San Jose State University. She received her PhD in Electrical Engineering and Computer Science at UC Merced in December 2023, advised by Professor Marcelo Kallmann and Professor Sungjin Im. She holds an MSc in Applied Mathematics from the University of Colorado Denver.
Honors & Awards
- San Jose State University Emerging Leaders Seed Grant Program
- Outstanding Teaching Award, University of California, Merced
- EECS Spring 2023 Travel Award (2×), UC Merced
- Best Presentation Award, ICMRE, France
- CETL Teaching Fellow Program, UC Merced
- Graduate Division NRST Fellowship (Teaching Assistantship Scholarship), UC Merced
- National Science Foundation (NSF) Teaching Fellowship, University of Colorado Denver
- Outstanding and Academic Excellence Award — ranked 2nd among undergraduates in Applied Mathematics, Iran University of Science & Technology