Alex Brodsky

Dr. Alex Brodsky's current research focuses on Decision Support, Guidance and Optimization (DSGO) systems and their applications. He has published over 170 scholarly refereed journal and conference papers and received five Best Paper Awards and two Best Student Paper Awards. For his research work related to Decision Support, Guidance and Optimization (DSGO) systems, Alex received an NSF CAREER Award, NSF Research Initiation Award, and awards from ONR, NASA, NIST, US Department of the Army, and Dominion Virginia Power. As of 2025, Dr. Brodsky graduated 21 PhD students as dissertation director.

Alex has served extensively in leadership roles within the research community. He is Conference Co-chair of the International Conference on Enterprise Information Systems (ICEIS) for 2019–2026 and has held major roles such as General Chair of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2017), Program Chair of ICTAI 2013, Program Co-chair of the IEEE ICDE Workshop on Data-Driven Decision Guidance and Support Systems (DGSS 2012 and 2013), General Vice Co-chair of IEEE ICDE 2012, and Conference Chair of the International Conference on Principles and Practice of Constraint Programming (CP99). He has also delivered invited keynotes at venues including ICTAI 2024, ICEIS 2018, and ICTAI 2016; regularly presents his research at international conferences; and has significant industry and commercialization experience.

Research

2026-2028: Smart Swarms for Military Planners: From High-Level Goals and Play Composition to Effective Control, Coordination and Execution. Funded by US Department of the Army

2022-2025: Green Assessment and Decision GuidancE Tool (GADGET):  Toward Pareto-Optimal Investment to Achieve Economic Efficiency and Carbon Neutrality. Funded by GMU Facilities and Institute for Sustainable Earth.

2023-2024:  SensorOptima: Optimal Sensor Assignment and Placement for Counter-UAV Operations. Funded by Air Force Research Laboratory (AFRL)

2021-2022: Decision Guidance for COVID-19 Comprehensive Mitigation with Pareto-Optimal Health, Cost and Productivity Outcomes. Supported by GMU to produce actionable recommendation for COVID-19 response.

2012-2015: Process Analytics for Sustainable Manufacturing: Modeling, Analysis and Decision Optimization. Funded by National Institute of Standards and Technology.

2013-2014: Decision Guidance Approach to Power Optimization and Management. Funded by Dominion Resources, Inc.

Research Interests

• Decision Support, Guidance and Optimization (DSGO) systems
• DSGO applications to service networks, energy, power, sustainability, manufacturing, and epidemiology
• Autonomous UAV/UGV systems

Degrees

• PhD, Computer Science, The Hebrew University of Jerusalem
• MS, Computer Science, The Hebrew University of Jerusalem
• BS, Mathematics and Computer Science, The Hebrew University of Jerusalem