World's Best Scientists 2026 revealed!
V. S. Subrahmanian

V. S. Subrahmanian

D-Index & Metrics

Computer Science

D-Index
74
Citations
23884
World Ranking
1482
National Ranking
773

Research.com Recognitions

  • 2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the study of probabilistic databases, logic programming and agent-based systems.
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

V. S. Subrahmanian is affiliated with Dartmouth College in the United States. Their research spans multiple fields, primarily focusing on computer science and social sciences, with 75 and 34 publications respectively. Within these domains, notable subfields include artificial intelligence, sociology and political science, information systems, signal processing, and computer networks and communications.

Their research addresses several main topics, including advanced malware detection techniques, spam and phishing detection, terrorism, counterterrorism, and political violence, network security and intrusion detection, deception detection and forensic psychology, hate speech and cyberbullying detection, and complex network analysis techniques.

Subrahmanian has contributed to numerous scientific papers. Some recent representative publications include:

  • Android Malware Detection via (Somewhat) Robust Irreversible Feature Transformations, 2020, IEEE Transactions on Information Forensics and Security
  • A Data-driven Characterization of Modern Android Spyware, 2020, ACM Transactions on Management Information Systems
  • Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors, 2022, IEEE Transactions on Dependable and Secure Computing
  • Deception Detection in Group Video Conversations using Dynamic Interaction Networks, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Using Word Embeddings to Deter Intellectual Property Theft through Automated Generation of Fake Documents, 2021, ACM Transactions on Management Information Systems

Collaborations have involved frequent co-authors such as Andrea Pugliese, Roy Lindelauf, Chiara Pulice, Youzhi Zhang, and Chongyang Bai.

Subrahmanian's work has appeared in several recurrent publication venues, including arXiv (Cornell University), IEEE Transactions on Computational Social Systems, IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Management Information Systems, and IEEE Intelligent Systems.

The scientist has authored books published by Springer International Publishing, including "Detecting Trust and Deception in Group Interaction" (2021) and "A Machine Learning Based Model of Boko Haram" (2020).

Recognition for their work includes election as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2009 for contributions to probabilistic databases, logic programming, and agent-based systems, as well as being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2008.

Best Publications

  • Machine Recognition of Human Activities: A Survey

    P. Turaga;R. Chellappa;V.S. Subrahmanian;O. Udrea

  • Maintaining views incrementally

    Ashish Gupta;Inderpal Singh Mumick;V. S. Subrahmanian

  • Flexible support for multiple access control policies

    Sushil Jajodia;Pierangela Samarati;Maria Luisa Sapino;V. S. Subrahmanian

  • A logical language for expressing authorizations

    S. Jajodia;P. Samarati;V.S. Subrahmanian

  • Theory of generalized annotated logic programming and its applications

    Michael Kifer;V. S. Subrahmanian

  • Query caching and optimization in distributed mediator systems

    S. Adali;K. S. Candan;Y. Papakonstantinou;V. S. Subrahmanian

  • Edge Weight Prediction in Weighted Signed Networks

    Srijan Kumar;Francesca Spezzano;V. S. Subrahmanian;Christos Faloutsos

  • Advanced Database Systems

    Carlo Zaniolo;Stefano Ceri;Christos Faloutsos;Richard Thomas Snodgrass

  • Sentiment Analysis: Adjectives and Adverbs are better than Adjectives Alone

    Farah Benamara;Carmine Cesarano;Antonio Picariello;Diego Reforgiato Recupero

  • ProbView: a flexible probabilistic database system

    Laks V. S. Lakshmanan;Nicola Leone;Robert Ross;V. S. Subrahmanian

  • A unified framework for enforcing multiple access control policies

    Sushil Jajodia;Pierangela Samarati;V. S. Subrahmanian;Eliza Bertino

  • Probabilistic logic programming

    Raymond Ng;V. S. Subrahmanian

  • The DARPA Twitter Bot Challenge

    V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

  • The DARPA Twitter Bot Challenge

    V.S. Subrahmanian;Amos Azaria;Skylar Durst;Vadim Kagan

  • Paraconsistent logic programming

    H. A. Blair;V. S. Subrahmanian

  • REV2: Fraudulent User Prediction in Rating Platforms

    Srijan Kumar;Bryan Hooi;Disha Makhija;Mohit Kumar

  • COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES

    Chitta Baral;Sarit Kraus;Jack Minker;V. S. Subrahmanian

  • Complexity, decidability and undecidability results for domain-independent planning

    Kutluhan Erol;Dana S. Nau;V. S. Subrahmanian

  • Amalgamating knowledge bases

    V. S. Subrahmanian

  • Using sentiment to detect bots on Twitter: are humans more opinionated than bots?

    John P. Dickerson;Vadim Kagan;V. S. Subrahmanian

Frequent Co-Authors

Sarit Kraus
Sarit Kraus Bar-Ilan University
Sushil Jajodia
Sushil Jajodia George Mason University
Raymond T. Ng
Raymond T. Ng University of British Columbia
Dana S. Nau
Dana S. Nau University of Maryland, College Park
Antonio Picariello
Antonio Picariello University of Naples Federico II
K. Selçuk Candan
K. Selçuk Candan Arizona State University
Piero A. Bonatti
Piero A. Bonatti University of Naples Federico II
Jack Minker
Jack Minker University of Maryland, College Park
Chitta Baral
Chitta Baral Arizona State University

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