Edison, New Jersey, United States
I build trustworthy AI systems for real operating conditions. My work combines formal methods, runtime monitoring, causal reasoning, and multimodal sensing to understand when AI systems should act, when they should defer, and what evidence supports their decisions. At Rutgers, I direct the Sensing & Reasoning Lab, where we study agentic AI, urban AI, human-machine systems, and multimodal spatial reasoning. I serve as Rutgers Site Director for CRAIG, the NSF Center on Responsible AI & Governance, and Rutgers Site Lead for CS3, the NSF Center for Smart Streetscapes. I also work with the New York Yankees on computer vision and biomechanics for player development and performance analysis.
Jorge Ortiz is a Research Staff Member at IBM T.J. Watson Research Center in NY. He works on systems and algorithms for physical analytics in buildings and IoT, deploying machine learning on resource constrained devices, and distributed systems and algorithms for large-scale machine learning applications. Broadly he is interested in sensing and building informatics, machine learning and systems.
Research in systems and networking, including routing protocols and link-layer design and construction. Designed data collection system and implementation for sensor deployments. Implemented signal processing and anomaly detection algorithms for smart buildings.