World's Best Scientists 2026 revealed!

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Computer Science

D-Index
45
Citations
7135
World Ranking
7283
National Ranking
3177

Overview

Sandip Sen is affiliated with the University of Tulsa in the United States, focusing primarily on research within computer science and psychology. Their work spans a variety of interdisciplinary subfields including artificial intelligence, social psychology, sociology and political science, cognitive neuroscience, and management science and operations research.

The scientist has contributed to areas such as human-automation interaction and safety, multi-agent systems and negotiation, explainable artificial intelligence (XAI), team dynamics and performance, evolutionary game theory and cooperation, big data and business intelligence, and Bayesian modeling and causal inference.

Sandip Sen's recent publications reflect a diverse range of topics and venues. Selected papers include:

  • "Genome-Wide Methylation Profiling in 229 Patients With Crohn's Disease Requiring Intestinal Resection: Epigenetic Analysis of the Trial of Prevention of Post-operative Crohn's Disease (TOPPIC)" (2023) published in Cellular and Molecular Gastroenterology and Hepatology
  • "Psychiatric symptoms are not associated with circulating CRP concentrations after controlling for medical, social, and demographic factors" (2022) published in Translational Psychiatry
  • "Opinion Dynamics in Gossiper-Media Networks Based on Multiagent Reinforcement Learning" (2022) published in IEEE Transactions on Network Science and Engineering
  • "Clinical Outcome of Guillain-Barré Syndrome in 108 Children" (2021) published in Indian Pediatrics
  • "Machine Learning Analysis of Electronic Nose in a Transdiagnostic Community Sample With a Streamlined Data Collection Approach: No Links Between Volatile Organic Compounds and Psychiatric Symptoms" (2020) published in Frontiers in Psychiatry

Frequent coauthors working with Sandip Sen include Sami Abuhaimed, Bohan Xu, Rayus Kuplicki, Martin P. Paulus, and Bryan Lavender. These collaborators represent a range of expertise complementing Sen's multidisciplinary research endeavors.

Publication venues frequently associated with Sen's research include the Proceedings of the International Florida Artificial Intelligence Research Society Conference, Cellular and Molecular Gastroenterology and Hepatology, Translational Psychiatry, IEEE Transactions on Network Science and Engineering, and the International Journal of Artificial Intelligence Tools.

Best Publications

  • Learning to coordinate without sharing information

    Sandip Sen;Mahendra Sekaran;John Hale

  • Emergence of norms through social learning

    Sandip Sen;Stéphane Airiau

  • Learning in multiagent systems

    Sandip Sen;Gerhard Weiss

  • Evolving Beharioral Strategies in Predators and Prey

    Thomas Haynes;Sandip Sen

  • Robustness of reputation-based trust: boolean case

    Sandip Sen;Neelima Sajja

  • Using real-valued genetic algorithms to evolve rule sets for classification

    A.L. Corcoran;S. Sen

  • Searching for optimal coalition structures

    S. Sen;P.S. Dutta

  • Strongly Typed Genetic Programming in Evolving Cooperation Strategies

    Thomas Haynes;Roger L. Wainwright;Sandip Sen;Dale A. Schoenefeld

  • Adaption and Learning in Multi-Agent Systems

    Gerhard Weiß;Sandip Sen

  • A Formal Study of Distributed Meeting Scheduling

    Sandip Sen;Edmund H. Durfee

  • Reciprocity: a foundational principle for promoting cooperative behavior among self-interested agents

    Sandip Sen

  • Voting for movies: the anatomy of a recommender system

    Sumit Ghosh;Manisha Mundhe;Karina Hernandez;Sandip Sen

  • Multiagent Coordination with Learning Classifier Systems

    Sandip Sen;Mahendra Sekaran

  • Believing others: Pros and cons

    Sandip Sen

  • Social instruments for robust convention emergence

    Daniel Villatoro;Jordi Sabater-Mir;Sandip Sen

  • Developing an automated distributed meeting scheduler

    S. Sen

  • On the design of an adaptive meeting scheduler

    S. Sen;E.H. Durfee

  • Satisfying user preferences while negotiating meetings

    Sandip Sen;Thomas Haynes;Neeraj Arora

  • NEWBOOLE: a fast GBML system

    Pierre Bonelli;Alexandre Parodi;Sandip Sen;Stewart Wilson

  • Evolving a Team

    Thomas Haynes;Sandip Sen;Dale Schoenefeld;Roger Wainwright

  • Evolution and learning in multiagent systems

    Sandip Sen

  • Strategic Bidding for Multiple Units in Simultaneous and Sequential Auctions

    Stéphane Airiau;Sandip Sen

Frequent Co-Authors

Edmund H. Durfee
Edmund H. Durfee University of Michigan–Ann Arbor
Karl Tuyls
Karl Tuyls DeepMind (United Kingdom)
Martin P. Paulus
Martin P. Paulus Laureate Institute for Brain Research
Michael Luck
Michael Luck University of Sussex
Elisabeth André
Elisabeth André University of Augsburg
David H. Wolpert
David H. Wolpert Santa Fe Institute
Eugene C. Freuder
Eugene C. Freuder University College Cork
Kagan Tumer
Kagan Tumer Oregon State University
Jie Zhang
Jie Zhang Nanyang Technological University

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