PhD Candidate in Electrical Engineering and Computer Science at UC Irvine
Multi-agent systems, robotics and machine learning
Riwa Karam
Exploring how robotic teams collaborate and adapt across complex environments.
Multi-Agent SystemsMachine LearningOptimizationHuman-Swarm Interaction
Member of the UCI Robot Ecology Lab advised by Professors Magnus Egerstedt and Yanning Shen
Researching multi-agent systems, machine learning, ecology robotics, and human-swarm interaction
About
Robotics research grounded in practical experience
Fourth-year PhD candidate in the Electrical Engineering and Computer Science Department at the University of California, Irvine. Member of the UCI Robot Ecology Lab and part of the Center for Resilient Autonomous Systems at UCI, advised by Professors Magnus Egerstedt and Yanning Shen. Exploring collaborative multi-agent systems, optimization, machine learning, ecology robotics, coverage control, formation control, and human-swarm interaction.
Earned a B.S. in Computer Engineering from the University of Balamand, graduating as valedictorian, followed by an M.S. in Electrical and Computer Engineering at UC Irvine. Bringing experience from software engineering and mechatronics research, including two internships at ASML focused on high-precision systems, statistical modeling, and Bayesian machine learning.
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Collaborative Multi-Agent Systems
Developing algorithms that help robot teams combine complementary capabilities and share resources across different missions. Exploring how collaboration opens up possibilities beyond what each team can achieve alone.
Latest
Recent updates
Upcoming: IEEE CDC 2026
Getting ready for IEEE CDC 2026 in Hawaii! After a first CDC presentation in Rio de Janeiro in 2025, another chance to catch up with the control community and exchange ideas is ahead.
SoCal Control Workshop at UC Santa Barbara
Attended the Southern California Control Workshop at UCSB’s Loma Pelona! Another chance to connect with the regional control community and explore new ideas.
Invited ARM RoboTalk: Collaboration in Multi-Agent Systems
Shared ideas on multi-agent collaboration at an invited ARM RoboTalk in Austin, TX—from complementary robot capabilities to ecology-inspired resource sharing and graph neural networks.