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Brian Weiss

Brian Weiss

Associate Research Engineer
Researcher

Dr. Brian A. Weiss is an Associate Research Engineer leading numerous efforts in the Artificial Intelligence, Autonomy, and Augmentation (AAA), and Acquisition and Industrial Security (A&IS) mission areas at ARLIS. His research is focused on the development and implementation of innovative test and evaluation (T&E) approaches to assess emerging technologies at multiple levels (i.e., component, system, operational).

Prior to joining ARLIS, Dr. Weiss was a Mechanical Engineer in the Intelligent Systems Division at the National Institute of Standards and Technology. Dr. Weiss spent more than 25 years at NIST operating in multiple domains and leading various efforts. From 2013 – 2022, Dr. Weiss led a project that developed test methods and protocols to verify and validate emerging monitoring, diagnostics, prognostics, and maintenance technologies and strategies. The objective of this research was to enable manufacturers to optimize their planned maintenance and minimize their unplanned maintenance activities. The project focused on the application domains of machine tools and robot systems. From 2013 – 2016, Dr. Weiss also served as the Associate Program Manager for the Smart Manufacturing Operations Planning and Control (SMOPAC) program. Before his manufacturing research, he spent over 15 years conducting performance assessments across numerous military and first response technologies including autonomous unmanned ground vehicles; tactical applications operating on Android™ devices; advanced soldier sensor technologies; free-form, two-way, speech-to-speech translation devices for tactical use; urban search and rescue robots; and bomb disposal robots. Dr. Weiss spent several years contributing to ground-breaking efforts in testing and evaluating unmanned ground vehicles for the military. He also spent six years developing robotic crane technologies which included the deployment of a prototype system on a military installation.

He is one of the principal creators of the System, Component, and Operationally-Relevant Evaluation (SCORE) framework which he has applied to several of his prior efforts. Building upon SCORE, Dr. Weiss developed the Multi-Relationship Evaluation Design (MRED) to shorten the time required to develop appropriate test plans to assess complex technologies.

EDUCATION:

  • PhD in Mechanical Engineering, University of Maryland, College Park
  • ME, University of Maryland, College Park
  • BS in Mechanical Engineering, University of Maryland, College Park

EXPERTISE:

  • Advanced Warfighter Technologies
  • First Response and Law Enforcement
  • Robotic Systems
  • Manufacturing Robotic Systems
  • Monitoring, Diagnostics, and Prognostics
  • Test & Evaluation/Verification & Validation
  • Unmanned Autonomous Ground Vehicles

MISSION AREA:

  • Acquis'n & Industrial Security
  • Applied AI for Performance

PROFESSIONAL HIGHLIGHTS:

  • Affiliate Faculty, The Institute of Systems Research, University of Maryland (2023 – Present)
  • Affiliate Associate Research Engineer, Department of Mechanical Engineering, University of Maryland (2023 – Present)
  • Chair, ASME Sub-Committee on Advanced Monitoring, Diagnostics, and Prognostics for Manufacturing Operations (2019 – 2022)
  • PHM Society’s PHM Contributor of the Year – (2018 & 2019)
  • Department of Commerce Gold Medal for Distinguished Service (2013 & 2019)
  • Government Computer News (GCN) Award for Information Technology Excellence (2014)
  • Department of Commerce Silver Medal for Meritorious Service (2011)
  • International Test and Evaluation Association Annual Symposium Best Paper Award (2009 & 2010)
  • Department of Commerce Bronze Medal for Superior Service (2004 & 2008)

PAPERS:

  • Weiss, B. A., & Brundage, M. P. (2021). Measurement and Evaluation for Prognostics and Health Management (PHM) for Manufacturing Operations–Summary of an Interactive Workshop Highlighting PHM Trends. International journal of prognostics and health management, 12(1).
  • Vogl, G. W., Weiss, B. A., & Helu, M. (2019). A review of diagnostic and prognostic capabilities and best practices for manufacturing. Journal of Intelligent Manufacturing, 30(1), 79-95.
  • Weiss, B. A., & Schmidt, L. C. (2011). The multi-relationship evaluation design framework: Producing evaluation blueprints to test emerging, advanced, and intelligent systems. ITEA Journal, 32(2), 191-200.
  • Weiss, B. A., & Schlenoff, C. I. (2011). Performance assessments of two-way, free-form, speech-to-speech translation systems for tactical use. National Inst of Standards and Technology, Gaithersburg, MD.
  • Schlenoff, C., Weiss, B., & Steves, M. P. (2010, September). Lessons learned in evaluating DARPA advanced military technologies. In Proceedings of the 10th performance metrics for intelligent systems workshop (pp. 227-234).
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