Waseem Abbas

Georgia Institute of Technology, Vanderbilt University

Papers

Total Citations

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About

Waseem Abbas is a researcher whose work lies at the intersection of graph theory, multi-robot systems, and resilient distributed control. His key research areas include robot deployment strategies, distributed diffusion algorithms, and topological models for swarm coordination. Abbas made significant contributions by developing methods for deploying robots with limited sensors in \(K_{1,6}\)-free graphs, proving that efficient sensor assignment is possible except in eight exceptional cases—a result that has garnered 23 citations. He also advanced resilient distributed diffusion for multi-robot systems using centerpoint theory, enabling teams of robots to cooperatively optimize global cost functions even when some agents are compromised; this work has been cited 17 times. Additionally, Abbas explored efficient topological distances in biological swarms, drawing inspiration from European starling flocks to improve coordination models. His research bridges theoretical graph properties with practical multi-robot applications, offering robust solutions for real-world deployment and resilience challenges. With a focus on both foundational mathematics and applied robotics, Abbas’s work continues to influence the design of scalable, fault-tolerant multi-agent systems.