Mohammadreza Chamanbaz

Singapore University of Technology and Design, Data Storage Institute

Papers

Total Citations

H-Index

About

Mohammadreza Chamanbaz is a leading researcher at the intersection of robotics, control theory, and autonomous systems. His most impactful work centers on scalable multi-robot systems and environmental monitoring, exemplified by his highly cited 2018 paper on a distributed system of autonomous buoys for large waterbody monitoring (58 citations). This contribution demonstrates his ability to translate theoretical advances into practical, deployable solutions for real-world challenges. Chamanbaz has also made significant theoretical contributions to robust control, developing a statistical learning theory approach for handling uncertain linear and bilinear matrix inequalities (2014, 14 citations), bridging the gap between machine learning and control systems. His work on swarm-enabling technology for multi-robot systems (2017) further underscores his focus on creating the hardware and software foundations necessary for scalable collective robotics. Through these efforts, Chamanbaz has established himself as a key figure in advancing both the theoretical underpinnings and practical implementations of autonomous, distributed systems.