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Craig I. Schlenoff (Fed)

Dr. Craig Schlenoff currently serves as the Senior Advisor for AI in the Information Technology Laboratory (ITL) in the National Institute of Standards and Technology (NIST). In this role, he advises the ITL Director and other NIST senior management on trends in AI and how NIST can best position itself to enable U.S. industry to lead in AI innovation. Prior to this, Dr. Schlenoff served as the NIST Acting Deputy Associate Director of Laboratory Programs (ADLP), where he advised the ADLP, provided operational guidance for NIST’s scientific and technical laboratory programs across six laboratories, led program and budget development, and coordinated interagency and outreach activities, accelerating U.S. innovation.

Prior to this, Dr. Schlenoff served as the Director of the Office of Science and Technology Policy’s (OSTP) Networking and Information Technology Research and Development (NITRD) National Coordination Office. In this role, he coordinated $11B of Federal Government IT R&D to identify, develop, and transition into use the secure IT, high-performance computing, networking, and software capabilities needed by the Nation, and fostered public-private partnerships that provide world-leading IT capabilities. He also served as the co-chair of the NITRD AI R&D Interagency Working Group, where he led the development of the 2023 AI R&D Strategic Plan Update.

Previously, he was the Group Leader of the Cognition and Collaboration Systems Group, the Program Manager of the Measurement Science for Manufacturing Robotics Program, and the Project Leader of the Agility Performance of Robotic Systems project and the Embodied AI and Data Generation for Manufacturing project in the Intelligent Systems Division at the NIST. His research interests include AI, knowledge representation/ontologies, intention recognition, and performance evaluation of autonomous systems and industrial robotics. He has led multiple million-dollar projects and programs addressing performance evaluation of advanced military technologies and agility performance of manufacturing robotic systems. He has published over 150 journal and conference papers, guest edited three journals, guest edited three books, and written four book chapters. He is currently the Associate Vice President for Standardization in the IEEE Robotics and Automation Society, has served as the Program Manager for the Process Engineering Program at NIST, and as the Director of Ontologies at VerticalNet Inc. He also teaches two courses at the University of Maryland, College Park: “Calculus” and “Building a Manufacturing Robot Software System” and “Mathematics for Engineers” at Johns Hopkins University.

Awards

IEEE Standards Association Standards Medallion for significant contributions to IEEE Standards (December 2019)

IEEE Emerging Technology Award for the IEEE Core Ontologies for Robotics and Automation Standard (December 2015)

NIST Gold Medal Award for developing innovative techniques to secure and measure the performance of smartphones and applications (January 2014)

NIST Silver Medal Award for developing innovative techniques to measure the performance of automated speech translation systems leading to confident U.S. military fielding (September 2011)

NIST Bronze Medal Award for developing and administering a groundbreaking performance evaluation framework for characterizing complex intelligent systems (September 2008)

NIST Colleague’s Choice Award for exemplary leadership and championship of the NIST mission in the management of independent evaluation for the DARPA ASSIST and TRANSTAC programs (December 2007)

Selected Publications

Using 4D/RCS to Address AI Knowledge Integration

Author(s)
Craig I. Schlenoff, James S. Albus, Elena R. Messina, Tony Barbera, Rajmohan (. Madhavan, Stephen B. Balakirsky
In this paper, we show how 4D/RCS incorporates and integrates multiple types of disparate knowledge representation techniques into a common, unifying

Publications

Methods to evaluate 3D lidars used for automated driving

Author(s)
Prem Rachakonda, Abhilash Mane, Craig I. Schlenoff, Kamel S. Saidi
Evaluating perception sensor systems for on-road autonomous vehicles is still fraught with ambiguity due to the varying and dynamic environmental factors that

Standards and Performance Metrics for On-Road Automated Vehicles

Author(s)
Craig I. Schlenoff, Zeid Kootbally, Prem Rachakonda, Suzanne Lightman, Apostol Vassilev, David A. Wollman, Edward Griffor
On September 5–8, 2023, the National Institute of Standards and Technology (NIST) held the second Standards and Performance Metrics for On‐Road Automated

Patents (2018-Present)

Sketch of six-dimensional smart target

Six-Dimensional Smart Target

NIST Inventors
Craig I. Schlenoff and Helen Qiao
A six-dimensional smart target determines pose of an object and includes: a gimbal with an azimuthal base and an elevation arm; an elevation member on the elevation arm that has light pipes; and an azimuthal member with light pipes such that the elevation member rotates at a rotary center about an
Created February 20, 2019, Updated September 25, 2025
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