Peter Beiling headshot
PB

Peter A. Beling

Professor
Interim Chair
Unit: School of Engineering and Applied Science
Department: Department of Systems and Information Engineering
Office location and address
Olsson Hall, Room 114A
151 Engineer's Way
Charlottesville, Virginia 22903
Education
B.A. University of Virginia, 1985
M.S. ​George Washington University, 1987
Ph.D. ​University of California at Berkeley, 1992
Biography

Peter A. Beling is Professor and Interim Chair of the Department of Systems and Information Engineering at the University of Virginia (UVa). Dr. Beling’s research interests are in the area of decision-making in complex systems, with emphasis on adaptive decision support systems and on model-based approaches to system-of-systems design and assessment. His research has found application in a variety of domains, including mission-focused cybersecurity, reconnaissance and surveillance, prognostic and diagnostic systems, and financial decision making. He directs the UVa site of the Center for Visual and Decision Informatics, a National Science Foundation Industry/University Cooperative Research Center, and the Adaptive Decision Systems Laboratory, which focuses on data analytics and decision support in cyber-physical systems. Dr. Beling is the co-founder of the Financial Decision Engineering research group at UVa, which is a focal point for research on the mathematical modeling and risk management aspects of consumer and retail credit. Dr. Beling has served as editor and reviewer for many academic journals. He has served as a member of two National Research Council panels. He received the Ph.D. in Operations Research from the University of California at Berkeley, M.S. in Operations Research from The George Washington University, and B.S. in Mathematics from the University of Virginia.

EN-SIE Center for Visual and Decision Informatics (CVDI) I/UCRC site at the University of Virginia
Source: U.S. NSF - Directorate Computer & Info. Sciences
March 01, 2017 – February 28, 2022
EN-ENGR- Memberships for I/UCRC Award for Denter for Visual and Decision Informatics (CVDI) (GA11233.154075)
Source: Industry - Various
December 01, 2016 – February 28, 2022
EN-DO Research in Support of Leidos's Strategic Alliance with UVA
Source: Leidos, Inc.
January 01, 2018 – December 31, 2021
WRT-1033 Transitioning Mission Aware Concepts and Methods to Evaluate Cost/Risk Decisions for Security Assurance Design
Source: Stevens Institute of Technology
October 09, 2020 – October 08, 2021
Compensatory Cyber Resiliency Approaches for Gaps in Cyber Hygiene (CRACH Test)
Source: The Mitre Corporation
June 10, 2020 – September 30, 2021
WRT-1022: Developmental Test and Evaluation (DT&E) and Cyberattack Resilient Systems
Source: Stevens Institute of Technology
September 15, 2020 – September 14, 2021
Improving Model Performance via Private Multi-Party Leaning of Hidden Features
Source: University of Louisiana at Lafayette
January 01, 2021 – June 30, 2021
Locally Private Multi-Party Learning
Source: University of Louisiana at Lafayette
March 01, 2020 – February 28, 2021
Machine Learning for Simulated Combat Agents: Learning to Win
Source: Systems Engineering, Inc
February 15, 2020 – February 14, 2021
Intelligent & Secure Probing for Embedded Health and Threat Monitoring (INSPECT-M)
Source: Luna Innovations, Inc.
August 25, 2020 – January 13, 2021
Algorithms for Condition Monitoring and Prognostics at the Sensor Node - Phase II
Source: Luna Innovations, Inc.
February 09, 2017 – December 31, 2020
AI Model Certification in Operational Environments
Source: The Mitre Corporation
June 01, 2020 – December 31, 2020
Metrics for Evaluation of Human-Agent Teaming
Source: The Mitre Corporation
July 15, 2020 – September 30, 2020
CRACH-TEST MIP expansion to Telehealth
Source: The Mitre Corporation
August 17, 2020 – September 30, 2020
AI assurance for Commonwealth Cyber Initiative (CCI) - Peter Beling support
Source: Virginia Polytechnic Institute and State Universit
September 01, 2019 – August 31, 2020
WRT-1013 Security Engineering - 2019
Source: Stevens Institute of Technology
June 28, 2019 – June 27, 2020
Risk-Based Approach to Cyber Vulnerability Assessment
Source: Stevens Institute of Technology
June 11, 2019 – June 10, 2020
System Aware Cyber Security
Source: Stevens Institute of Technology
February 21, 2018 – February 20, 2019
Statistical Modeling of Human Factors in Thermal Spray 2018
Source: Rolls-Royce Corporation
January 01, 2018 – December 31, 2018
EN-SE-Autonomous MHK Montoring System for Intelligent Converter Health Management (Phase II)
Source: Luna Innovations, Inc.
October 01, 2016 – December 31, 2018
Contributions for Memberships in the Broadband Wireless Access & Applications Center (BWAC)
Source: Industry - Various
January 01, 2006 – December 31, 2017
EN-DO Research in Support of SAIC's Strategic Alliance with UVA
Source: Science Applications Intrnl Corp
July 01, 2009 – December 31, 2017
Statistical Modeling of Human Factors in Thermal Spray
Source: Rolls-Royce Corporation
January 01, 2017 – December 31, 2017
EN-SIE-RT-172 Security Engineering - FY 17 Systems Aware Cybersecurity
Source: Stevens Institute of Technology
December 08, 2016 – December 07, 2017
EN-SE Methodologies for Real-Time Diagnostics and Prognostics and for Cyber Security in Smart Manufacturing Systems
Source: U.S. DOC - Natl. Institute Standards & Tech. (NIST
August 01, 2014 – January 31, 2017
EN-SE Algorithms for Condition Monitoring and Prognostics at the Sensor Node
Source: Luna Innovations, Inc.
September 01, 2015 – January 02, 2017
EN-SE Statistical Modeling of Human Factors in Thermal Spray
Source: Rolls-Royce Corporation
January 01, 2016 – December 31, 2016
EN-SE System-Aware Cybersecurity
Source: Stevens Institute of Technology
January 04, 2016 – November 03, 2016
EN-SE PLanning Grant: I/UCRC for Center for Dynamic Data Analytics Center Site at the University of Virginia
Source: U.S. NSF - Directorate For Engineering
September 15, 2015 – August 31, 2016
EN-SE Development of Online System for Building Learning Models
Source: Commonwealth Center for Advanced Manufacturing
October 19, 2015 – April 30, 2016
EN-SE Prognostics & Health Monitoring of MHK Devices
Source: Luna Innovations, Inc.
July 07, 2015 – March 07, 2016
EN-SE Statistical Modeling of Human Factors in Thermal Spray
Source: Rolls-Royce Corporation
July 01, 2014 – December 31, 2015
EN-SE Statistical Modeling of Human Factors in Thermal Spray
Source: Rolls-Royce Corporation
July 01, 2015 – December 31, 2015
EN-SE Research Task RT-136 Security Engineering - FY15 System Aware Cyber Security
Source: Stevens Institute of Technology
December 05, 2014 – December 04, 2015
EN-SE Statistical Learning Models for Estimation of Chip Characteristics
Source: Commonwealth Center for Advanced Manufacturing
January 06, 2014 – March 30, 2015
EN-SE System Aware Cyber System Human Factors
Source: Stevens Institute of Technology
March 05, 2014 – January 31, 2015
Wireless Internet Center for Advanced Technology (WICAT)
Source: U.S. NSF - Directorate For Engineering
August 01, 2011 – June 30, 2014
EN-SE Characterization of Human Performance Using Continuous Motion Data: Object Tracking and Activity
Source: Commonwealth Center for Advanced Manufacturing
March 18, 2013 – February 28, 2014
University of Virginia Center on Rapidly Reconfigurable Mission Critical Wireless Systems
Source: U.S. NSF - Directorate For Engineering
September 01, 2006 – August 31, 2013
EN-SE Technology Based Evaluation of Classroom Learning
Source: U.S. NSF - Directorate For Engineering
September 01, 2008 – August 31, 2013
Collaborative Research: Fundamental Research on Adaptive Wireless Video Systems
Source: U.S. NSF - Directorate For Engineering
August 15, 2011 – July 31, 2013
Characterization of Human Performance using Continuous Motion Data
Source: Commonwealth Center for Advanced Manufacturing
November 01, 2011 – February 28, 2013
SYS 3021: Deterministic Decision Models
Credits: 3
Introduction to deterministic optimization models: theory, algorithms, and applications. Coverage begins with highly structured network optimization models (e.g. shortest path models) and ends with unstructured linear optimization models (e.g. linear programing and integer programming). Applications include (1) telecommunications network planning and design, (2) design and utilization of transportation and distribution networks, and (3) project management and scheduling. Prerequisite: SYS 2001; corequisite: APMA 3080.
SYS 4053: Systems Design I
Credits: 3
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 3021, 3060, and fourth-year standing in the Systems Engineering major.
SYS 4054: Systems Design II
Credits: 3
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. SYS 4053 and fourth-year standing in Systems Engineering major.
SYS 4582: Selected Topics in Systems Engineering
Credits: 1–3
Detailed study of a selected topic determined by the current interest of faculty and students. Prerequisite: As specified for each offering.
SYS 4995: Supervised Projects in Systems Engineering
Credits: 1–6
Independent study or project research under the guidance of a faculty member. Offered as required. Prerequisite: As specified for each offering.
DS 6011: Data Science Capstone Project Work I
Credits: 1
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
DS 6013: Data Science Capstone Project Work II
Credits: 1–2
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
SYS 6043: Applied Optimization
Credits: 3
Presents the foundations of mathematical modeling and optimization, with emphasis on problem formulation and solution techniques. Includes applications of linear programs, nonlinear programs, and combinatorial models, as well as a practical introduction to algorithms for solving these types of problems. Topics are illustrated through classic problems such as service planning, operations management, manufacturing, transportation, and network flows. Prerequisites: Two years of college mathematics, including linear algebra, or instructor permission Note: This course cannot be applied toward completing the requirements for an M.S. or Ph.D. in Systems Engineering
SYS 6097: Graduate Teaching Instruction
Credits: 1–12
For master's students.
SYS 6581: Selected Topics in Systems Engineering
Credits: 1–3
Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.
SYS 6582: Selected Topics in Systems Engineering
Credits: 1–3
Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.
SYS 6993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 7002: Case Studies in Systems Engineering
Credits: 3
Under faculty guidance, students apply the principles of systems methodology, design, and management along with the techniques of systems and decision sciences to systems analysis and design cases. The primary goal is the integration of numerous concepts from systems engineering using real-world cases. Focuses on presenting, defending, and discussing systems engineering projects in a typical professional context. Cases, extracted from actual government, industry, and business problems, span a broad range of applicable technologies and involve the formulation of the issues, modeling of decision problems, analysis of the impact of proposed alternatives, and interpretation of these impacts in terms of the client value system. Prerequisite: SYS 6001, 6003, and 6005.
SYS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 8995: Supervised Project Research
Credits: 1–12
Formal record of student commitment to project research for Master of Engineering degree under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 8999: Non-Topical Research, Masters
Credits: 1–12
Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 9997: Graduate Teaching Instruction
Credits: 1–12
For doctoral students.
SYS 9999: Dissertation
Credits: 1–12
For doctoral students.