Design concept

Raymond Sheh

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About

About

Two decades of published research across academia, multiple industries, law, government, and defense. The same job the whole time: make advanced technology trustworthy enough to actually adopt.

My expertise spans artificial intelligence, cybersecurity, robotics, measurement science, standards, forensics, and governance, built over two decades of published international research across academia, multiple industries, law, government, and defense. My work spans every stage of research, from writing proposals and code and prototyping hardware, through to publishing, shaping policy, and leading the direction of US federal projects.

I started in Perth, Western Australia, with degrees in electronic engineering and computer science from Curtin, and a PhD in robotics, machine learning, and vision from UNSW. My life-saving work in robotics for emergency response and public safety has been internationally recognized, and helped drive the responsible adoption of intelligent response robots worldwide.

Since 2011 I have worked with NIST, developing over thirty standard test methods for intelligent response robots, methods that guided more than $200M in US government procurements and are now used worldwide. Along the way I helped turn abstract tasks into the test methods and competition procedures behind the DARPA Robotics Challenge, and I contributed the machine-perception expertise behind a patented robotic laser orthopedic surgery system.

Today I lead the development of the NIST AI Risk Management Framework profile for trustworthy AI in critical infrastructure. My mission, stated plainly: advance the safe, responsible, effective, appropriate, ethical, transparent, and defensible adoption of AI and intelligent systems. A theme runs through the work. Without trust, explainability, and measurement, over-hyped AI risks collapsing into another "AI winter," and rigorous, standardized evaluation is the remedy.

In short, my focus is trusted autonomous systems, standard performance tests for robots, explainable AI, reaching the next generation, and averting the next AI winter. I am always looking for opportunities to help people and organizations responsibly develop, adopt, operationalize, evaluate, and risk-manage cutting-edge technologies to advance humanity.

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Selected roles

2025—Johns Hopkins University Associate Research Scientist, seconded full-time to NISTCurrent
2011—NIST Guest Researcher · response-robot test methods, UAS cyber and AI risk, the CI Profile15+ yrs
2021—RoboCup Trustee · robots versus the World Cup champions by 2050Governance
2019—22Georgetown University Research Professor · measurement science for ground, aerial, and underwater robotsFaculty
2013—22Curtin University Senior Lecturer · founded the Intelligent Robots Group; the surgical-robot patentPerth
2004—10UNSW PhD · Robotics, Machine Learning, Vision, Artificial IntelligenceDoctorate
1999—03Curtin University BEng, Electronic and Communications Engineering · BSc, Computer ScienceUndergraduate