Amy Sliva, Ph.D.

Biography

Amy Sliva, Ph.D., is an Associate Professor of Computer Science and Program Director for the Computer Science program. Dr. Sliva teaches a range of courses, including Introduction to Programming, Database Management Systems, Artificial Intelligence, and Cybersecurity. Her research is interdisciplinary, with expertise in computational social science developing artificial intelligence to support decisions in security policy, international conflict, and international development. Current research includes collaboration under IARPA’s Reimagining Security with Cyberpsychology-Informed Network Defenses (ReSCIND) program to model cyber adversaries, and research in sensitivity analysis for food security decisions in Ethiopia.

Previously, Dr. Sliva was a Senior Scientist at Charles River Analytics, developing intelligent systems for the National Security and Intelligence Communities. She was PI on DARPA's World Modelers program, developing tools for uncertainty management in sociopolitical systems, IARPA's Cyber-attack Automated Unconventional Sensor Environment (CAUSE) program, mining social media, dark web, and news for cyberattack indicators, and several U.S. Army Small Business Innovation Research programs to prototype a toolkit with behavioral characteristics of cyber adversaries for proactive defense.

Dr. Sliva was an Assistant Professor of Computer Science and Political Science at Northeastern University. She collaborated with the National Defense University on strategic analysis of cyber warfare and worked for the World Bank on behavioral modeling for education in Nigeria.

Education

• B.S., Computer Science, Georgetown University
• M.S., Computer Science, University of Maryland; M.P.P., International Security and Economics, University of Maryland
• Ph.D., Computer Science, University of Maryland

Publications

• “Decision Analysis in Stochastic Sociocultural Systems” (with Emanuele Borgonovo, Alexander Levis,
  Christopher Pawlenok, and Nathaniel Plaspohl). Proceedings of 27th International Conference on
  Analytical & Stochastic Modelling Techniques & Applications (ASMTA), 2023.
• “Causal Analysis Graph Modeling for Strategic Decisions” (with Alexander Levis). In Proceedings of
  European Council for Modelling and Simulation (ECMS) 36th International Conference on Modelling
  and Simulation, 2022.
• “Food Security in Developing Economies: A Decision Analysis Approach” (with Alexander Levis,
  Emanuele Borgonovo, and Glenn Takata). Institute for Operations Research and the Management
  Sciences (INFORMS) Annual Meeting. 2020.
• “Using Social Media to Understand Cyber Attack Behavior” (with Kai Shu and Huan Liu). In Proceedings of
  the International Conference on Cross Cultural Decision Making at the International Conference on
  Applied Human Factors and Ergonomics. July 2018.
• “Understanding Cyber Attack Behaviors with Sentiment Information on Social Media” (with Kai Shu, Justin Sampson, and Huan Liu). In Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), July 2018.

Awards and Designations

• King's College Faculty Research Grant (2023)
• King's College CELT Innovation in Teaching Grant (2020-2021)

CV / Website

• Website