Eugene Santos, Jr. | Short biography and publications

Eugene Santos, Jr.

  • Sydney E. Junkins 1887 Professor of Engineering, Thayer School of Engineering, Dartmouth College
  • Adjunct Professor of Computer Science, Department of Computer Science, Dartmouth College
  • Director, Master of Engineering Program, Thayer School of Engineering, Dartmouth College

Works on computational intent, dynamic human behavior, decision-making, learning nonlinear and emergent behaviors, and explainable AI.

Official Dartmouth faculty profile

Biography

Dr. Eugene Santos, Jr. (born 1968) received his Ph.D. ('92) in Computer Science from Brown University. He is currently the Sydney E. Junkins 1887 Professor of Engineering at the Thayer School of Engineering and Adjunct Professor of Computer Science at Dartmouth College. He is also the Director for the Master of Engineering program. Dr. Santos' work on artificial intelligence intersects the areas of information, cognition, human factors, and mathematics. His current focus is on computational intent, dynamic human behavior, and decision-making with an emphasis on learning nonlinear and emergent behaviors and explainable AI. Dr. Santos has applied his work with the goal of better understanding how we, both as individuals and our society, can best leverage knowledge through AI to improve our world for social good. These application areas include computational social systems – group to individual decision-making, opinion and belief change, socio-cultural attitudes and factors, and social resilience; user and team modeling – inferring user intentions and needs, surgical errors and team intention gaps, and effective use of text and data analytics; and, cybersecurity – insider threat and deception detection, misinformation vs. disinformation, and adversarial intent and course of action analysis. Dr. Santos is currently appointed to serve on the Department of the Air Force Scientific Advisory Board (DAF SAB). He also served on the Board of Directors for Sigma Xi, was appointed to the State of Vermont Taskforce on AI, and is a 2019 Public Voices fellow of the OpEd Project. Dr. Santos was Editor-in-Chief for the IEEE Transactions on Cybernetics from 2008-2013. He is a Fellow of the AAAS and IEEE.

Application areas

Computational social systems

  • group to individual decision-making
  • opinion and belief change
  • socio-cultural attitudes and factors
  • social resilience

User and team modeling

  • inferring user intentions and needs
  • surgical errors and team intention gaps
  • effective use of text and data analytics

Cybersecurity

  • insider threat and deception detection
  • misinformation vs. disinformation
  • adversarial intent and course of action analysis

Education

  • 2007

    M.A. (Honorary)

    Dartmouth College, Hanover, NH

  • 1992

    Ph.D. in Computer Science

    Brown University, Providence, RI

  • 1988

    Sc.M. in Computer Science

    Brown University, Providence, RI

  • 1986

    M.S. in Mathematics (specializing in Numerical Analysis)

    Youngstown State University, Youngstown, OH

  • 1985

    B.S. in Mathematics and Computer Science

    Youngstown State University, Youngstown, OH

Academic positions

  • Sydney E. Junkins 1887 Professor of Engineering

    Thayer School of Engineering, Dartmouth College, Hanover, NH

  • Director, Master of Engineering Program

    Thayer School of Engineering, Dartmouth College, Hanover, NH

  • Professor of Engineering

    Thayer School of Engineering, Dartmouth College, Hanover, NH

  • Adjunct Professor of Computer Science

    Department of Computer Science, Dartmouth College, Hanover, NH

  • Interim Director

    The Taylor L. Booth Computing Research Center, University of Connecticut, Storrs, CT

  • Associate Professor

    Computer Science and Engineering Department, University of Connecticut, Storrs, CT

  • Assistant Professor

    Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH

  • Instructor

    Department of Mathematics and Computer Science, Youngstown State University, Youngstown, OH

Service and honors

Publications

Selected Recent Publications on Computational Intentions by Topic. 70 papers, newest first. Many papers belong to more than one topic.

Showing all 70 publications.

2026

  • Cryptocurrencies trading using Parrondo's Paradox

    Bruno M. Henrique and Eugene Santos, Jr.

    International Review of Economics & Finance 105: 104859, 2026.

    DOI: 10.1016/j.iref.2025.104859

    Emergence, non-linear decision-making, and decision fusion

2025

  • Reward Distance Comparisons Under Transition Sparsity

    Clement Nyanhongo, Bruno M. Henrique, and Eugene Santos, Jr.

    Transactions on Machine Learning Research, 2835-2856, April 2025.

    View publication

    Explainable AI & Inverse Reinforcement Learning

  • Announcing the Biomedical Data Translator: Initial Public Release

    Karamarie Fecho et al.

    Clinical and Translational Science 18(7): e70284, 2025.

    DOI: 10.1111/cts.70284

    Consortium publication; Dr. Santos is a consortium author.

    Clinical, Biomedical and Translational Science

2024

  • Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov

    Gregory Hyde and Eugene Santos, Jr.

    Frontiers in Artificial Intelligence and Applications 392: ECAI 2024, 1357-1364, Santiago de Compostela, Spain, 2024.

    DOI: 10.3233/FAIA240635

    Explainable AI & Inverse Reinforcement Learning

  • Trust in artificial intelligence: Literature review and main path analysis

    Bruno M. Henrique and Eugene Santos, Jr.

    Computers in Human Behavior: Artificial Humans 2(1):100043, 2024.

    DOI: 10.1016/j.chbah.2024.100043

    Explainable AI & Inverse Reinforcement Learning; Human-Machine Teams

  • Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness

    Eugene Santos, Jr., Jacob Jurmain, and Anthony Ragazzi

    PLOS ONE 19(3): e0296864, 2024.

    DOI: 10.1371/journal.pone.0296864

    Emergence, non-linear decision-making, and decision fusion; Knowledge-driven learning and knowledge representation

  • Declarative logic-based Pareto-optimal agent decision making

    Tonmoay Deb, Mingi Jeong, Cristian Molinaro, Andrea Pugliese, Alberto Quattrini Li, Eugene Santos, Jr., V.S. Subrahmanian, and Youzhi Zhang

    IEEE Transactions on Cybernetics 54(12), 7147-7162, 2024. doi:10.1109/TCYB.2024.3394316

    DOI: 10.1109/TCYB.2024.3394316

    Drones and Drone Swarms

2023

  • AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge

    Chase Yakaboski, Gregory Hyde, Clement Nyanhongo, and Eugene Santos, Jr.

    arXiv preprint arXiv:2310.18852, 2023, presentation at NeurIPS AI For Science Workshop 2023.

    DOI: 10.48550/arXiv.2310.18852

    OpEd & Ethical AI

  • Learning by Successful or Unsuccessful Experiences?

    Keum Joo Kim and Eugene Santos, Jr.

    Proceedings of the Human Factors and Ergonomics Society Annual Meeting (HFES 2023), 7 pages, Sage CA: Los Angeles, CA: SAGE Publications, Washington, DC, 2023.

    DOI: 10.1177/21695067231192528

    Explainable AI & Inverse Reinforcement Learning

  • Echo Chambers as Gravity Wells

    Jeremy E. Thompson and Eugene Santos, Jr.

    Proceedings of the 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 848-857, St. Petersburg, FL, IEEE, 2023. DOI: 10.1109/IPDPSW59300.2023.0014

    DOI: 10.1109/IPDPSW59300.2023.0014

    Deception detection and insider threat; Social systems, attitudes, and cultural modeling; Computational opinions

  • Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level

    Chase Yakaboski and Eugene Santos, Jr.

    Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington D.C., 2023.

    Emergence, non-linear decision-making, and decision fusion; Knowledge-driven learning and knowledge representation; Clinical, Biomedical and Translational Science

  • An Approach for Collaborative Development of a Federated Biomedical Knowledge Graph–Based Question-Answering System: Question-of-the-Month Challenges

    Karamarie Fecho et al.

    Journal of Clinical and Translational Science, 1-24, 2023. doi:10.1017/cts.2023.619

    DOI: 10.1017/cts.2023.619

    Consortium publication; Dr. Santos is a consortium author.

    Clinical, Biomedical and Translational Science

  • DUCK: A Drone-Urban Cyber-Defense Framework based on Pareto-Optimal Deontic Logic Agents

    Tonmoay Deb, Jurgen Dix, Mingi Jeong, Cristian Molinaro, Andrea Pugliese, Alberto Quattrini Li, Eugene Santos, Jr., V. S. Subrahmanian, Shanchieh Yang, and Youzhi Zhang

    Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Demonstration Track, 2023.

    Drones and Drone Swarms

2022

  • An Application of Inverse Reinforcement Learning to Estimate Interference in Drone Swarms

    Keum Joo Kim, Eugene Santos, Jr., Hien Nguyen, and Shawn Pieper

    Entropy 24(10): 1364, 2022.

    DOI: 10.3390/e24101364

    Explainable AI & Inverse Reinforcement Learning; Drones and Drone Swarms; Complex and adaptive systems

  • Predicting Decision-Making Competence using Reward Distributions

    Keum Joo Kim and Eugene Santos, Jr.

    Proceedings of the 2022 Human Factors and Ergonomics Society International Annual Meeting (HFES 2022), 2022.

    Explainable AI & Inverse Reinforcement Learning

  • Progress Toward a Universal Biomedical Data Translator

    Karamarie Fecho et al.

    Clinical and Translational Science 15(8), 1838-1847, 2022.

    DOI: 10.1111/cts.13301

    Consortium publication; Dr. Santos is a consortium author.

    Clinical, Biomedical and Translational Science

  • Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical and Translational Science

    Deepak R. Unni et al.

    Clinical and Translational Science 15(8), 1848-1855, 2022.

    DOI: 10.1111/cts.13302

    Consortium publication; Dr. Santos is a consortium author.

    Clinical, Biomedical and Translational Science

2021

  • Contextual Evaluation of Human-Machine Team Effectiveness

    Eugene Santos, Jr., Clement Nyanhongo, Hien Nguyen, Keum Joo Kim, and Gregory Hyde

    Systems Engineering and Artificial Intelligence (Eds. W. Lawless, R. Mittu, S. Sofge, T. Shortell, and T. McDermott), Springer, Cham, 2021.

    DOI: 10.1007/978-3-030-77283-3_14

    Explainable AI & Inverse Reinforcement Learning; Human-Machine Teams

  • Infusing Culture in Compartmental Epidemic Models

    Eunice E. Santos, John Korah, Suresh Subramanian, Vairavan Murugappan, and Eugene Santos, Jr.

    2021 IEEE EEMBS International Conference on Biomedical and Health Informatics (BHI), 1-6, 2021. doi: 10.1109/BHI50953.2021.9508605.

    DOI: 10.1109/BHI50953.2021.9508605

    Social systems, attitudes, and cultural modeling

  • Efficient Reasoning Upon Fusion of Many Data Sources

    Chase Yakaboski and Eugene Santos, Jr.

    The International FLAIRS Conference Proceedings (34), 2021.

    DOI: 10.32473/flairs.v34i1.128539

    Emergence, non-linear decision-making, and decision fusion; Knowledge-driven learning and knowledge representation

2020

  • Validation of Double Transition Model by Analyzing Reward Distributions

    Eugene Santos, Jr., Hien Nguyen, Keum Joo Kim, Gregory Hyde, and Clement Nyanhongo

    Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT 2020), 586-591, 2020. doi: 10.1109/WIIAT50758.2020.00088.

    DOI: 10.1109/WIIAT50758.2020.00088

    Explainable AI & Inverse Reinforcement Learning; Human-Machine Teams

  • Differences between experts and novices in decision-making processes

    Eugene Santos, Jr., Keum Joo Kim, and Hien Nguyen

    Proc. SPIE 11425, Unmanned Systems Technology XXII, 114250I (23 April 2020).

    DOI: 10.1117/12.2557957

    Explainable AI & Inverse Reinforcement Learning; Human-Machine Teams

  • Narrative Origin Classification of Israeli-Palestinian Conflict Texts

    Jason Wei and Eugene Santos, Jr.

    Proceedings of the 33rd International FLAIRS Conference, 258-263, 2020.

    Computational opinions; Text, multimedia, and data analytics

2019

  • Artificial intelligence needs guardrails

    Eugene Santos, Jr.

    The Hill, 03 June 2019.

    OpEd & Ethical AI

  • Analysis of Computational Models to Describe Individual Decision-Making Process

    Eugene Santos, Jr., Keum Joo Kim, Jacob Russell, Hien Nguyen, Luke Veenhuis, Ramnjit Boparai, and Luke De Guelle

    Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019), 172-179, Thessaloniki, Greece, 2019.

    DOI: 10.1145/3350546.3352515

    Page range listed as 172-179 in one section of the source page and 176-181 in another.

    Explainable AI & Inverse Reinforcement Learning; Human-Machine Teams

  • Explaining Reward Functions in Markov Decision Processes

    Jacob Russell and Eugene Santos, Jr.

    Proceedings of the 32nd International FLAIRS Conference, 56-61, Sarasota, FL, 2019.

    Explainable AI & Inverse Reinforcement Learning

  • A Decision-Making Framework for Agents in Complex Environments

    Eugene Santos, Jr., Hien Nguyen, Clement Nyanhongo, Gregory Hyde, Keumjoo Kim, and Jacob Russell

    Proceedings of 14th International Naturalistic Decision Making Conference, 176-181, San Francisco, CA, 2019.

    Explainable AI & Inverse Reinforcement Learning; Computational opinions; Human-Machine Teams

  • A Contextual-based Framework for Opinion Formation

    Eugene Santos, Jr. and Clement Nyanhongo

    Proceedings of the 32nd International FLAIRS Conference, 62-67, Sarasota, FL, 2019.

    Explainable AI & Inverse Reinforcement Learning; Computational opinions

  • Discriminating Deception from Truth and Misinformation: An Intent-level Approach

    Deqing Li and Eugene Santos, Jr.

    Journal of Experimental and Theoretical Artificial Intelligence, 35 pages, 2019. doi:10.1080/0952813X.2019.1652354.

    DOI: 10.1080/0952813X.2019.1652354

    Deception detection and insider threat; Text, multimedia, and data analytics

  • Emergence in Multiagent Systems

    Yan Zhao and Eugene Santos, Jr.

    Proceedings of the 32nd International FLAIRS Conference, 144-147, Sarasota, FL, 2019.

    Emergence, non-linear decision-making, and decision fusion; Complex and adaptive systems

  • Cost-Based Temporal Reasoning

    Eugene Santos, Jr.

    Information Sciences 482, 392-418, 2019.

    Knowledge-driven learning and knowledge representation

2018

  • A Failure of Collective Intelligence

    Yan Zhao and Eugene Santos, Jr.

    Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), 361-366, Santiago, Chile, 2018.

    Explainable AI & Inverse Reinforcement Learning; Computational opinions; Emergence, non-linear decision-making, and decision fusion

  • A Contextual Decision-Making Framework

    Eugene Santos, Jr., Hien Nguyen, Keum Joo Kim, Jacob A. Russell, Gregory M. Hyde, Luke J. Veenhuis, Ramnjit S. Boparai, Luke T. De Guelle, and Hung Vu Mac

    Computational Context: The Value, Theory and Application of Context with AI (Eds. W. Lawless, R. Mittu, and D. Sofge), 253-286, CRC Press, 2018.

    Explainable AI & Inverse Reinforcement Learning; Human-Machine Teams

  • Modeling Social Resilience in Communities

    Eunice E. Santos, Eugene Santos, Jr., John Korah, Jeremy E. Thompson, Yan Zhao, Vairavan Murugappan, and Jacob Russell

    IEEE Transactions on Computational Social Systems 5(1), 186-199, 2018.

    Social systems, attitudes, and cultural modeling

  • Bayesian Knowledge Base Distance-based Tuning

    Chase Yakaboski and Eugene Santos, Jr.

    Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), 64-72, Santiago, Chile, 2018.

    Knowledge-driven learning and knowledge representation

2017

  • Modeling Insider Threat Types in Cyber Organizations

    Eunice E. Santos, Eugene Santos, Jr., John Korah, Jeremy E. Thompson, Vairavan Mrurgappan, Suresh Subramanian, and Yan Zhao

    Proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security, Waltham, MA, 2017.

    Deception detection and insider threat

  • Automatic Emergence Detection in Complex Systems

    Eugene Santos, Jr. and Yan Zhao

    Complexity, vol. 2017, Article ID 3460919, 24 pages, 2017. doi:10.1155/2017/3460919

    DOI: 10.1155/2017/3460919

    Emergence, non-linear decision-making, and decision fusion

  • A Computational Framework for Modeling Targets as Complex Adaptive Systems

    Eugene Santos, Jr., Eunice E. Santos, John Korah, Vairavan Murugappan, and Suresh Subramanian

    Proceedings of the SPIE: Defense & Security Symposium, Anaheim, CA, 2017.

    Emergence, non-linear decision-making, and decision fusion; Complex and adaptive systems

  • Capturing a Commander's Decision Making Style

    Eugene Santos, Jr., Hien Nguyen, Jacob Russell, Keumjoo Kim, Ramnjit S. Boparai, Luke Veenhuis, Thomas K. Stautland, and Bryan Brandt

    Proceedings of the SPIE: Defense & Security Symposium, Anaheim, CA, 2017.

    Human-Machine Teams

2016

  • On Modeling the Interplay between Opinion Change and Formation

    Fei Yu and Eugene Santos, Jr.

    Proceedings of the 29th International FLAIRS Conference, 140-145, Key Largo, FL, 2016.

    Computational opinions; Emergence, non-linear decision-making, and decision fusion

  • A Framework for Dynamic Context-Centric Commander Decision Support

    Eugene Santos, Jr., Hien Nguyen, Jacob Russell, Joshua Day, Scott Pegelow, and Alexis Greenstreet

    Proceedings of the 2016 Human Factors and Ergonomics Society International Annual Meeting (HFES 2016), Vol. 60, No. 1, 218-222, Washington, DC, 2016.

    Human-Machine Teams

2014

  • Infusing Social Networks with Culture

    Eunice E. Santos, Eugene Santos, Jr., Long Pan, John T. Wilkinson, Jeremy E. Thompson, and John Korah

    IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(1), 1-17, 2014.

    Social systems, attitudes, and cultural modeling

  • Incorporating Social Theories in Computational Behavioral Models

    Eunice E. Santos, Eugene Santos, Jr., John Korah, Riya George, Qi Gu, Jacob Jurmain, Keumjoo Kim, Dewing Li, Jacob Russell, Suresh Subramanian, Jeremy Thompson, and Fei Yu

    Lecture Notes in Computer Science: Proceedings of the Seventh International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP-2014), 341-349, Washington, DC, Springer, 2014.

    Social systems, attitudes, and cultural modeling

  • Automatic Content Based Image Retrieval Using Semantic Analyses

    Eugene Santos, Jr. and Qi Gu

    Journal of Intelligent Information Systems 43(2), 247-269, 2014.

    Text, multimedia, and data analytics

  • Modeling trust between doctor and patient with Bayesian Knowledge Bases

    Eugene Santos, Jr., Keum Joo Kim, Fei Yu, Deqing Li, Delia M. O'Shea, Abigail M. Thornburg, Marietta Smith, and Joseph Rosen

    MEdSim Magazine, 2014.

    Team decision-making and intent – Patient care

2013

  • Modeling Emergent Border-Crossing Behaviors during Pandemics

    Eunice E. Santos, Eugene Santos, Jr., John Korah, Jeremy E. Thompson, Qi Gu, Keumjoo Kim, Deqing Li, Jacob Russell, Suresh Subramanian, Yuxi Zhang, and Yan Zhao

    Proceedings of the SPIE: Defense, Security, & Sensing Symposium: Vol 8711, 8711OZ-1-8711OZ-15, Baltimore, MD, 2013.

    Social systems, attitudes, and cultural modeling

  • Modeling Opinion Dynamics in a Social Network

    Qi Gu, Eugene Santos, Jr., and Eunice E. Santos

    Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 9-16, Atlanta, GA, 2013.

    Computational opinions

  • Bayesian Knowledge Base Tuning

    Eugene Santos, Jr., Qi Gu, and Eunice E. Santos

    International Journal of Approximate Reasoning 54(8), 1000-1012, 2013.

    Knowledge-driven learning and knowledge representation

  • Hybrid User Model for Capturing a Users Information Seeking Intent

    Hien Nguyen and Eugene Santos, Jr.

    Multimedia Services in Intelligent Environments: Smart Innovation, Systems and Technologies Volume 24 (Eds. G. A. Tsihrintzis, M. Virvou, and L. C. Jain), 31-63. Springer International Publishing, 2013.

    Human-Machine Teams

  • Bayesian Knowledge Modelling for Healthcare Practices

    Eugene Santos, Jr., Keum Joo Kim, Fei Yu, Deqing Li, and Joseph Rosen

    Int. J. of Simulation and Process Modelling 8(1), 52-65, 2013.

    Team decision-making and intent – Patient care

2012

  • Deception Detection, Human Reasoning, and Deception Intent

    Eugene Santos, Jr., Deqing Li, and Fei Yu

    IEEE Intelligent Systems, 71-13, November/December 2012.

    Deception detection and insider threat

  • Intelligence Analyses and the Insider Threat

    Eugene Santos, Jr., Hien Nguyen, Fei Yu, Keum Joo Kim, Deqing Li, John T. Wilkinson, Adam Olson, and Russell Jacob

    IEEE Transactions on Systems, Man, and Cybernetics: Part A 42(2), 331-347, 2012.

    Deception detection and insider threat

  • Argument Formation in the Reasoning Process: Toward a Generic Model of Deception Detection

    Deqing Li and Eugene Santos, Jr.

    Proceedings of the EACL 2012 Workshop on Computational Approaches to Deception Detection, 63-71, Avignon, France, 2012.

    Deception detection and insider threat

  • Finite Belief Fusion Model for Hidden Source Behavior Change Detection

    Eugene Santos, Jr., Qi Gu, Eunice E. Santos, and John Korah

    Proceedings of the 4th International Conference on Knowledge Discovery and Information Retrieval, 17-24, Barcelona, Spain, 2012.

    Computational opinions

  • Flexible Algorithm Selection Framework for Large Scale Metalearning

    Eugene Santos, Jr., Alex Kilpatrick, Hien Nguyen, Qi Gu, Andy Grooms, and Chris Poulin

    Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 496-503, Macau, China, 2012.

    Knowledge-driven learning and knowledge representation

  • Temporal Bayesian Knowledge Bases Reasoning about Uncertainty with Temporal Constraints

    Eugene Santos, Jr., Deqing Li, Eunice E. Santos, and John Korah

    Expert Systems With Applications 39, 12905-12917, 2012.

    Knowledge-driven learning and knowledge representation

  • Patient Care

    Eugene Santos, Jr., Joseph Rosen, Keumjoo Kim, Fei Yu, Deqing Li, Elizabeth Jacobs, and Lindsay Katona

    Modeling and Simulation in the Medical and Health Sciences (Eds. J. A. Sokolowski and C. M. Banks), 147-174, Wiley, 2012.

    Team decision-making and intent – Patient care

  • Reasoning About Intentions in Complex Organizational Behavior

    Eugene Santos, Jr., Joseph Rosen, Keumjoo Kim, Deqing Li, Fei Yu, Yufan Guo, Elizabeth Jacobs, Sam Shih, Jean Liu, and Lindsay Katona

    Theories of Team Cognition: Cross-Disciplinary Perspectives (Eds. E. Salas, S. Fiore, and M. Letsky), 51-86, Routledge: Taylor & Francis Group, 2012.

    Complex and adaptive systems

2011

  • Fusing Multiple Bayesian Knowledge Sources

    Eugene Santos, Jr., John T. Wilkinson, and Eunice E. Santos

    International Journal of Approximate Reasoning 52(7), 935-947, 2011.

    Emergence, non-linear decision-making, and decision fusion; Knowledge-driven learning and knowledge representation

  • Evaluation of the Impact of User-Cognitive Styles on Assessment of Text Summarization

    Hien Nguyen, Eugene Santos, Jr., Russell Jacob, and Nathan Smith

    IEEE Transactions on Systems, Man, and Cybernetics: Part A 41(6), 1038-1051, 2011.

    Text, multimedia, and data analytics

  • Modeling and Simulating Dynamic Healthcare Practices

    Eugene Santos, Jr., KeumJoo Kim, Fei Yu, Deqing Li, Phoebe Arbogast, Elizabeth A. Jacob, and Joseph Rosen

    Proceedings of the International Defense and Homeland Security Simulation Workshop (DHSS 2011), 19-26, Rome, IT, 2011.

    Best Paper Award

    Team decision-making and intent – Patient care

  • Intent-Driven Behavioral Modeling During Cross-Border Epidemics

    Eunice E. Santos, Eugene Santos, Jr., John Korah, Jeremy E. Thompson, Keumjoo Kim, Riya George, Qi Gu, Jacob Jurmain, Suresh Subramanian, and John T. Wilkinson

    Proceedings of the 2011 IEEE International Conference on Privacy, Security, Risk and Trust and IEEE International Conference on Social Computing, 748-755, Boston, MA, 2011.

    Complex and adaptive systems

2010

  • Deception Detection in Multi-Agent Systems

    Eugene Santos, Jr. and Deqing Li

    IEEE Transactions on Systems, Man, and Cybernetics: Part A 40(2), 224-235, 2010.

    Deception detection and insider threat

2009

  • The efficacy of terrorism and counter-terrorism in the second intifada: An intergroup approach

    Felicia Pratto, Annie Fox, Eileen Pitpitan, Judy Tan, Amy Huntington, Eugene Santos, Jr., Nalini Ravishanker, and Adam Pearson

    Paper presented at the annual meeting of the ISPP 32nd Annual Scientific Meeting, Trinity College, Dublin, Ireland, Jul 14, 2009.

    View publication

    Social systems, attitudes, and cultural modeling

  • On a Framework for the Prediction and Explanation of Changing Opinions

    Eunice E. Santos, Eugene Santos, Jr., John T. Wilkinson, and Huadong Xia

    Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 1146-1452, San Antonio, TX, 2009.

    Computational opinions

  • What Makes a Good Summary?

    Qunhua Zhao, Eugene Santos, Jr., Hien Nguyen, and Ahmed Mohamed

    Computational Methods for Counterterrorism (Eds. S. Argamon and H. Newton), 33-50, Springer, 2009.

    Text, multimedia, and data analytics

2008

  • Inter-cellular Communication Models for Effective and Realistic Biological Simulations

    Eunice E. Santos, Eugene Santos, Jr., Ankit Singhal, Donghang Guo, and Qunhua Zhao

    2008 Era of Hope Proceedings, 204, Baltimore, MD, 2008.

    Clinical, Biomedical and Translational Science; Complex and adaptive systems

2005

  • Impacts of User Modeling on Personalization of Information Retrieval: An Evaluation with Human Intelligence Analysts

    Eugene Santos, Jr., Qunhua Zhao, Hien Nguyen, and Hua Wang

    S. Weibelzahl, A. Paramythis, and J. Masthoff (Eds.), Proceedings of the Fourth Workshop on the Evaluation of Adaptive Systems (held in conjunction with the 10th International Conference on User Modeling (UM'05)), 27-36, Edinburgh, UK, 2005.

    Human-Machine Teams

2004

  • Automatic Evaluation of Summaries Using Document Graphs

    Eugene Santos, Jr., Ahmed A. Mohamed, and Qunhua Zhao

    Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004) Workshop on Text Summarization Branches Out, 66-73, Barcelona, Spain, 2004.

    Text, multimedia, and data analytics

Year not listed

  • Multi-Object Active Search and Tracking by Multiple Agents in Untrusted, Dynamically Changing Environments

    Mingi Jeong, Cristian Molinaro, Tonmoay Dev, Youzhi Zhang, Andrea Pugliese, Eugene Santos, Jr., V.S. Subrahmanian, and Alberto Quattrini Li

    Autonomous Robots 50(1).

    DOI: 10.1007/s10514-025-10218-3

    Drones and Drone Swarms

More papers are available on the Distributed Information and Intelligence Analysis Group website.

Other affiliations

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