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About

Dr. Theocharis Theocharides is a leading researcher at the intersection of embedded systems, computer architecture, and autonomous robotics, with a particular focus on hardware acceleration for real-time computer vision. His work addresses the critical challenge of enabling intelligent perception and decision-making in resource-constrained environments, such as drones and mobile robots. He has made major contributions to the design of efficient hardware architectures for object detection and depth estimation, as demonstrated by his highly-cited work on real-time disparity map estimation and depth-and-edge-based object detection (17 and 12 citations, respectively). A key theme in his research is the reliability and safety of autonomous systems; he led the development of the SafeDrones framework (15 citations) for real-time UAV reliability evaluation using executable digital identities. His team also achieved notable success in the ICUAS 2022 competition, developing an autonomous exploration framework for Search and Rescue (SAR) missions (16 citations). Dr. Theocharides has also contributed to the robustness of machine learning systems, serving as a guest editor for a special issue on robust resource-constrained systems for ML. His work is instrumental in paving the way for safer, more capable autonomous systems deployed in critical applications, from security to disaster response.