Raymond Sheh in front of the main administrative building 101 of the NIST Gaithersburg campus, Maryland, USA.
Dr. Raymond Sheh is a Guest Researcher with the U.S. National Institute of Standards and Technology and an Adjunct Associate Research Scientist at Johns Hopkins University. His research interest revolves around Trusted Autonomous Systems, particularly in the areas of performance measurement, explainable AI, AI risk management, cybersecurity, policy, and regulation of robotic and cyberphysical systems. His current focus is on crafting intelligent robotics research competitions that demonstrate state-of-the-science capabilities while also educating competitors about the need to manage and address cybersecurity and AI risks. Ask him about his experience with robotic lion cubs and his superhero alter-ego’s efforts to avert the next AI winter.
ray at the domain of this web page.
I control this domain so this email address is the one most likely to stick around over time. If you want to stay in touch with me over, say, decades, use this one.
rsheh2 at jh dot edu
Replace the number 2 with the number 1. I do change institutions from time to time so this isn't likely to stick around for more than a few years.
This email address seems to be everywhere anyway, I'm assuming if a spambot is going to get it they've already got it. This comes and goes depending on what the US Government does so only use this if you are sending something that needs to be official (and I suggest you CC one of my other ones if what you're sending permits that).
My LinkedIn profile.
My Google Scholar profile.
The NIST Standard Test Methods for Response Robots project, which I was associated with in some manner, shape, or form since 2004.
Dr. Raymond Sheh is a Guest Researcher with the Uncrewed Aircraft Systems (UAS) Portfolio of the Public Safety Communications Research (PSCR) Division of the Communications and Technology Laboratory (CTL) of the National Institute of Standards and Technology (NIST), U.S. Department of Commerce, based near Washington DC, and an Adjunct Associate Research Scientist (fully funded by NIST) at the Whiting School of Engineering, Johns Hopkins University. His primary responsibility is in developing academic and industry competitions for intelligent UAS that push the state-of-the-science in capabilities for public safety.
His research interests focus on Trusted Autonomous Systems, particularly relating to Performance Testing, Explainable and Transparent Artificial Intelligence, and Cyber Security for Intelligent Cyberphysical Systems, and the unique challenges in managing risk across such systems. He has been involved in autonomous systems research since 2003.
Prior to his appointment at Johns Hopkins University, Dr. Sheh was a Research Professor at the Institute for Soft Matter Synthesis and Metrology at Georgetown University in Washington DC, a Senior Lecturer at the Department of Computing, Curtin University of Technology in Perth, Western Australia, and a Research Scientist at Robolit LLC. For almost two decades during this time, he also worked with the Standard Test Methods for Response Robots project of the Intelligent Systems Division (ISD) of the Engineering Laboratory (EL) of NIST, including 12 years as a Guest Researcher. He holds a PhD in Artificial Intelligence from The University of New South Wales, a Bachelors degree with Honours in Electronic and Communications Engineering from Curtin University of Technology, and a Bachelors degree in Computer Science, also from Curtin University of Technology. He also spent time as a Research Assistant, Tutor, and Systems Administrator, where his last job was rolling out Windows 2000. (This was also about the last time he designed a web page.)
Before turning to full time research, Dr. Sheh developed, managed, and taught units at undergraduate and graduate levels in Industrial Automation and Robotics, Machine Perception, Cyber Crime and Secure Programming, and Data Structures and Algorithms. He also has experience in teaching Computer Structures and Embedded Systems, and Photography (specializing in Creative Lighting, Macro Photography, and Physics for Photography).