Grants per year
Personal profile
Research Interests
V.S. Subrahmanian focuses on the intersection of AI and security problems. He develops machine learning based models to analyze text/geospatial/relational/social network data, learn behavioral models from the data, forecast actions, and influence outcomes. His models have been used to forecast terror attacks and terror network evolution, to reduce poaching, to identify bad actors on social media, to forecast systemic banking crises, to maximize airline profits, to predict if apps are malware or not, and more.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, MSc, Birla Institute of Technology and Science
Computer Science, PhD, Syracuse University
Computer Science, MS, Syracuse University
Research interests keywords
- Artificial Intelligence
- Cybersecurity
- Data Science
- Influence and Persuasion
- National Security
- Public Policy
- Risk Management
- Terrorism
- Deepfakes
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Generating Documents that are Consistent with a Knowledge Base
George Mason University, Office of Naval Research
9/1/21 → 8/31/24
Project: Research project
-
SPADE: Strategic Probabilistic Attitudinal Diplomacy Engine
Subrahmanian, V. S. & Birnbaum, L. A.
Defense Advanced Research Projects Agency (DARPA)
1/3/22 → 9/1/23
Project: Research project
-
Deepfakes and International Conflict: a Research Report
Byman, D. L., Gao, C., Meserole, C. & Subrahmanian, V. S., Jan 2023, Brookings Institution.Research output: Book/Report › Other report
-
DIPS: A Dyadic Impression Prediction System for Group Interaction Videos
Bai, C., Bolonkin, M., Regunath, V. & Subrahmanian, V. S., Jan 23 2023, In: ACM Transactions on Multimedia Computing, Communications and Applications. 19, 1, 43.Research output: Contribution to journal › Article › peer-review
-
DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents
Deb, T., Dix, J., Jeong, M., Molinaro, C., Pugliese, A., Li, A. Q., Santos, E., Subrahmanian, V. S., Yang, S. & Zhang, Y., Jun 27 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 16425-16427 3 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
GAIT: A Game-Theoretic Defense Against Intellectual Property Theft
Zhang, Y., Chen, D., Jajodia, S., Pugliese, A., Subrahmanian, V. S. & Xiong, Y., 2023, (Accepted/In press) In: IEEE Transactions on Dependable and Secure Computing. p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
-
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion
Bai, C., Chen, H., Kumar, S., Leskovec, J. & Subrahmanian, V. S., 2023, In: IEEE Transactions on Multimedia. 25, p. 942-952 11 p.Research output: Contribution to journal › Article › peer-review