Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1987 …2023

Research activity per year

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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):

  • SDG 16 - Peace, Justice and Strong Institutions

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

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Collaborations and top research areas from the last five years

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