Phone: (804) 982-2066
Email: beling@virginia.edu
Website: http://www.people.virginia.edu/~pb3a/homepage.html

• Ph.D - Industrial Engineering and Operations Research | University of California at Berkeley (1991)
  
• M.S. - Operations Research | George Washington University (1987)
  
• B.A. - Mathematics | University of Virginia (1985)
  

Peter A. Beling is Site Director for the University of Virginia (UVA) CVDI site. He is an associate professor in the Department of Systems and Information Engineering. Dr. Beling received his Ph.D. in Operations Research from the University of California at Berkeley and has held positions at the Center for Naval Analyses and the IBM Almaden Research Center. Dr. Beling’s research interests are in data analytics and decision-making in complex systems, with emphasis on adaptive decision support systems and reinforcement learning. His research has found application in a variety of domains, including smart manufacturing, resilient cyber physical systems, finance, and consumer credit. He also directs the Adaptive Decision Systems Laboratory, which focuses on data analytics and decision support in cyber-physical systems. He is the co-founder of the Financial Decision Engineering research group at UVA, which is a focal point for research on systems engineering approaches to decisions and analyses in the financial and consumer credit domains. Dr. Beling has served as editor and reviewer for many academic journals. He has served as a member of two National Research Council panels.

• 9a.018.UVA - Improving Model Performance via Private Multi-Party Leaning of Hidden Features
  
• Graph Reinforcement Learning for Smart Manufacturing 8a.026.UVA
  
• General Techniques for Explaining/Interpreting Deep Neural Networks 8a.004.UVA
  
• Development of Human and Machine Predictive Maintenance and Care Service Based on Industrial Internet of Things (IIoT) 7a.032.UVA
  
• Privacy Preserving Multi-Party Analytics 7a.013.UVA
  
• Adversarial Learning in Credit Card Fraud 6a.058.UVA
  
• Development of Human & Machine Predictive Maintenance and Care Service Based on Industrial IoT 6a.056.UVA
  
• Reinforcement Learning Approaches to Intent Inference in Autonomous Vehicles 6a.054.UVA
  

• IoT Data Trustworthiness and Sentinels 6a.051.UVA
  

• A Cyberinfrastructure System for Real-Time Flood Forecasting in Low-Relief Coastal Plain Basins 7a.005.UL_UVA
  

• Adler, I. and Beling, P., “Polynomial Algorithms for LP over a Subring of the Algebraic Integers with Applications to LP with Circulant Matrices”, Mathematical Programming, 57, pp. 121-143, 1992.
  
• Adler, I. and Beling, P., “Polynomial Algorithms for Linear Programming over the Algebraic Numbers”, Algorithmica, 12, pp. 436-457, 1994.
  
• Beling, P. and Megiddo, N., “Using Fast Matrix Multiplication to Find Basic Solutions”, Theoretical Computer Science, in press.
  
• Olson, R., Beling, P., Lambert, J., and Haimes, Y.Y., “A Risk-based Framework for Evaluating Nonstructural Flood Protection Policies”, Journal of Water Resources Planning and Management, 24, No. 5, pp. 237-245, 1998.
  
• Tran, L. and Beling, P., “A Constraint and Variable Aggregation Technique for the Access Area Problem”, accepted for publication in Journal of Parallel and Distributed Systems and Networks.
  
• Beling, P. and Verma, S., “Combinatorial Complexity of the Central Path”, Proceedings of the 29th Annual ACM Symposium on the Theory of Computing, pp. 250-255, 1997.
  
• Albright, H. and Beling, P., “A Methodology for Generating Goal Programming Test Problems”, Proceedings of the 1997 IEEE Conference on Systems, Man and Cybernetics, pp. 151-158, 1997.
  
• Tran, L. and Beling, P., “Aggregation Heuristics for the Access Area Problem”, Proceedings of the 1998 IASTED Conference on Modelling and Simulation, pp. 434-438, 1998.
  
• Beling, P. and Tran, L., “A Surrogate Cost Method for Hierarchical Network Design”, Proceedings of the 1998 IMACS/IEEE Conference on Computational Engineering in Systems Applications, pp. 42-47, 1998.
  
• Long, P., and Beling, P., “Hybrid Interior Point-Simplex Algorithms for Linear Programming”, Proceedings of the 1998 IMACS/IEEE Conference on Computational Engineering in Systems Applications, pp. 52-58, 1998.
  
• Mullei, S., and Beling, P., “Evolution of Rule-induced Scoring Functions for Stock Selection”, Proceedings of the 1998 IMACS/IEEE Conference on Computational Engineering in Systems Applications, pp. 36-41, 1998.
  
• Chalasani, V. and Beling, P., “Tensored Nearest-Neighbor Classifiers”, to appear in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, 1998.
  
• Chalasani, V. and Beling, P., “Optimization-based Classifiers for Multi-modal Problems in Road Extraction”, to appear in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, 1998.
  
• Mullei, S. and Beling, P., “Induction of Rule-based Scoring Functions”, to appear in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, 1998.
  
• Tran, L. and Beling, P., “A Heuristic for the Topological Design of Two-tiered Networks”, to appear in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, 1998.
  
• Beling, P. and Verma, S., “A Fast Symmetric Penalty Algorithm for the Linear Complementarity Problem”, to appear in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, 1998.
  
• Mullei, S. and Beling, P., “Hybrid Evolutionary Algorithms for a Multiobjective Financial Problem”, to appear in Proceedings of the 1998 IEEE Conference on Systems, Man and Cybernetics, 1998.