Lifeng Zhou

Lifeng Zhou is an Assistant Professor in the Department of Electrical and Computer Engineering at Drexel University, where he leads the Zhou Lab focused on advancing robustness and reliability in multi-robot systems through integration of foundation models. His research addresses real-world challenges in environmental monitoring, disaster response, and urban mobility.

Education

• PhD, Electrical and Computer Engineering, Virginia Tech, 2020
• MS, Control Science and Engineering, Shanghai Jiao Tong University, 2016
• BS, Automation, Huazhong University of Science and Technology, 2013

Research Focus

Dr. Zhou's work integrates robotics, algorithms, game theory and machine learning to develop secure and scalable autonomous systems. Primary research thrusts include:

• Resilient multi-robot coordination in adversarial environments
• Large language model integration for robotic decision-making
• Game-theoretic resource allocation strategies
• Risk-aware planning for autonomous vehicles

Publication Trends

Recent work (2024-2025) demonstrates strong focus on large language model applications in multi-robot systems, with 12/15 articles exploring LLM integration for flocking, scene segmentation, and decision-making. Additional emphasis includes adversarial robustness in target tracking (5 articles) and autonomous driving applications (4 articles).

Awards and Recognition

• Best Paper Award, WACV 2025 LLVM-AD Workshop

Professional Service

• Associate Editor, ICRA Conference Editorial Board

Laboratory Focus

The Zhou Lab develops foundational algorithms for secure and scalable multi-robot systems, with current projects spanning environmental monitoring drones, disaster response coordination, and autonomous vehicle perception systems.