Virginia Tech® home

Peter A. Beling

Professor
  • Director, Intelligent Systems Division, Virginia Tech National Security Institute

Dr. Peter Beling

Peter Beling

ResearchGate        Google Scholar

Research Areas

Main Area:  Management Systems Engineering

  • Artificial Intelligence and Machine Learning
  • Systems Theory and Modeling
  • Cyber Resilience
  • Autonomy and Controls/Control Systems
  • Digital and Mission Engineering

 

  • B.A. University of Virginia, 1985
  • M.S. ​George Washington University, 1987
  • Ph.D. ​University of California at Berkeley, 1992

 

  • The WEAR Methodology for PHM Implementation. Journal of Manufacturing Systems, to appear. 2017.
  • ADAMS, S., MALINOWSKI, M., HEDDY, G., CHOO, B., AND BELING, P.
  • Multi-agent Inverse Reinforcement Learning for Zero-sum Games. IEEE Transactions on Computational Intelligence and AI in Games. (published online) 2017.
  • LIN, X., BELING, P., AND COGILL, R.
  • Optimal Model-Based (3D/6D) Pose Estimation with Structured-Light Depth Sensors. IEEE Transactions on Computational Imaging, pp. 1-14 (published online). 2017.
  • LANDAU, M. AND BELING, P.
  • Adaptive Multi-scale PHM for Smart Manufacturing Systems. International Journal of Prognostics and Health Management, pp. 1-15 (published online). 2016.
  • CHOO, B., ADAMS, S., MARVEL, J., WEISS, B., AND BELING, P.
  • Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models. IEEE Access, 4, pp. 1642-1657. 2016.
  • ADAMS, S., BELING, P., AND COGILL, R.
  • Regulatory Capital Decisions in the Context of Consumer Loan Portfolios. Journal of the Operational Research Society, pp. 1-20 (published online). 2016.
  • RAJARATNAM, K., BELING, P., AND OVERSTREET, G.
  • Adaptive Multi-scale Optimization: Concept and Case Study on Simulated UAV Surveillance Operations. IEEE Systems Journal, pp. 1-12 (published online). 2015.
  • REYES, I., BELING, P., AND HOROWITZ, B.
  • Task Recognition from Joint Tracking Data in an Operational Manufacturing Cell. Journal of Intelligent Manufacturing, pp. 1-15 (published online). 2015.
  • RUDE, D., ADAMS, S., AND BELING, P.
  • Gaussian Process-Based Algorithmic Trading Strategy Identification. Quantitative Finance, 15, no. 10, pp. 1683-1703. 2015.
  • YANG, S., QIAO, Q., BELING, P., SCHERER, W., AND KIRILENKO, A.
  • Recognition of Agents from Observation of Their Sequential Behavior. European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (ECML-PKDD 2013), pp. 33-48. 2013.
  • QIAO, Q. AND BELING, P.
  • Inverse Reinforcement Learning with Gaussian Processes. American Control Conference (ACC 2011), pp. 113-118. 2011.
  • QIAO, Q. AND BELING, P.
  • Decentralized Bayesian Search using Approximate Dynamic Programming Methods. IEEE Transactions on Systems, Man and Cybernetics, Part B, 38 (4), pp. 970-975. 2008.
  • ZHAO, Y., PATEK, S., AND BELING, P.