Soumya Ray

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About

Soumya Ray is a researcher focused on the intersection of robotics, embedded systems, and artificial intelligence, with a particular emphasis on safety and reliability. His primary research areas include anomaly detection in medical robots and automated fault localization in complex control software. Ray's major contribution lies in developing systems that can detect and predict adverse events in medical robots, a critical advancement for patient safety. His 2021 paper on this topic, which has garnered 3 citations, details a comprehensive framework involving simulation, data collection, and user interface tools specifically designed for a robot performing small animal biopsies. Additionally, his 2015 work on fault localization in embedded control systems, with 2 citations, introduces a novel approach that leverages controller structure and simulation data to build probabilistic models for identifying faulty code. This work is particularly valuable for ensuring the robustness of software in safety-critical applications. Ray's research is notable for its practical, application-driven approach, directly addressing real-world challenges in medical technology and automated systems.