university of tulsa logo

Sandip Sen, PhD

Sandip Sen, PhD
Professor of Computer Science
College of Engineering & Natural Sciences
Computer Science
918-631-2985 Website Rayzor Hall Room 2105

Education

PhD – University of Michigan MS – University of Alabama BS – Jadavpur University

Bio

Sandip Sen is a Professor of Computer Science at the University of Tulsa with primary research interests in multiagent systems, machine learning, and genetic algorithms. He leads the MultiAgent System Research (MASTERS) group in the Tandy School of Computer Science. He completed his PhD in the area of intelligent, distributed scheduling from the University of Michigan in December, 1993. He has authored approximately 300 papers in workshops, conferences, and journals in several areas of artificial intelligence. In 1997 he received the prestigious CAREER award given to outstanding young faculty by the National Science Foundation. He has served on the program committees of most major national and international conferences in the field of intelligent agents including AAAI, IJCAI, ICMAS, AA, AAMAS, ICGA, etc. He served as the co-chair of the Program Committee of the 5th International Conference on Autonomous Agents held in Montreal Canada in 2001 and as a General Co-Chair of AAMAS-2010 held in Toronto, Canada and PRIMA-2012 held in Kuching, Malaysia. He regularly reviews papers for major AI journals and serves on the panels of the NSF and national funding agencies in other countries for evaluating agent systems related projects. He has chaired multiple workshops and symposia on agent learning and reasoning. He has presented several tutorials on different multiagent systems topics in association with the leading international conferences on autonomous agents and multiagent systems. In 2014, the Association for the Advancement for Artificial Intelligence (AAAI) awarded him a Senior Member status for his significant research achievements and contribution to the field of AI and for his service to AAAI.

Research Interests

Artificial Intelligence
Intelligent Agents
Multiagent Systems
Machine Learning
Evolutionary Computation

Teaching Interests

Artificial Intelligence
Algorithms and Problem Solving
Database Systems
Machine Learning
Intelligent Agents

Publications

Journal Articles

  • Liu, Y., Zhang, J., An, B., & Sen, S. (2015). A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. Autonomous Agents and Multi-Agent Systems, 1–20.

  • Yucel, O., Crawford, C., & Sen, S. (2015). Evolving effective behaviours to interact with tag-based populations. Connection Science, (ahead-of-print), 1–17.

  • Olsen, J., & Sen, S. (2014). Discovery, utilisation and analysis of credible threats for 2$$ 2 incomplete information games in the Theory of Moves framework, 26, 123–140.
  • Airiau, S., Sen, S., & Villatoro, D. (2014). Emergence of conventions through social learning. Autonomous Agents and Multi-Agent Systems, 28(5), 779–804.

  • Olsen, J., & Sen, S. (2014). On the rationality of cycling in the Theory of Moves framework. Connection Science, 26(2), 141–160.

  • Simulating the Effect of Social Network Structure on Workflow Efficiency Performance. (2014), 3, 32-40.
  • Debnath, S. K., & Sen, S. (2013). Pattern of stress-strain accumulation due to a long dipslip fault movement in a viscoelastic layered model of the lithosphere–asthenosphere system. International Journal of Applied Mechanics and Engineering, 18(3), 653–670.

  • Villatoro, D., Sabater-Mir, J., & Sen, S. (2013). Robust convention emergence in social networks through self-reinforcing structures dissolution. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 8(1), 2.

  • Hafizoglu, F., & Sen, S. (2012). Patterns of migration and adoption of choices by agents in communities.
  • Mistry, O., & Sen, S. (2012). Tag recommendation for social bookmarking: Probabilistic approaches. Multiagent and Grid Systems, 8(2), 143–163.

  • Mukherjee, P., & Sen, S. (2011). Comparing reputation schemes for detecting malicious nodes in sensor networks. The Computer Journal, 54(3), 482–489.

  • Villatoro, D., Sen, S., & Sabater-Mir, J. (2011). Exploring the dimensions of convention emergence in multiagent systems. Advances in Complex Systems, 14(02), 201–227.

  • Villatoro, D., Sabater-Mir, J., & Sen, S. (2011). Social instruments for robust convention emergence. IJCAI, 11, 420–425.

  • Villatoro, D., Sen, S., & Sabater-Mir, J. (2010). Of Social Norms and Sanctioning: A Game Theoretical Overview, 2, 1–15.
  • Airiau, S., & Sen, S. (2010). Distributed computation of Kernel-stable coalition payoff distributions.
  • Airiau, S., Padgham, L., Sardina, S., & Sen, S. (2010). Enhancing the adaptation of BDI agents using learning techniques, 78.
  • Measuring creativity in software development. (2010).
  • Grove, F., Jorgenson, N., Sen, S., & Gamble, R. (2010). Software Engineering Rewards for Brainstorming Online (${$SEREBRO$}$).
  • Sen, S. (2010). Using agent model to find efficient envy-free allocation of a continuously divisible good between two agents, 4, 21–34.
  • van der Hoek, W., Kaminka, G., Lespérance, Y., Luck, M., & Sen, S. (2010). Workshop 1 Agent Communication.
  • Villatoro, D., Malone, N., & Sen, S. (2009). Effects of interaction history and network topology on rate of convention emergence, 13–19.
  • Sen, S. (2009). Improving search in social networks by agent based mining.
  • Mukherjee, P., Sen, S., & Airiau, S. (2009). Norm emergence with biased agents.
  • Gürsel, A., Sen, S., & Candale, T. (2009). Stability in referral systems, 5, 19–36.
  • The SEREBRO project: Fostering creativity through collaboration and rewards. (2009).
  • Sen, S., Mishra, S., Sarkar, S., & Biswas, A. (2008). Extension of Paris Equation & Its Application in the Study of Fatifue Process.
  • Airiau, S., Padgham, L., Sardina, S., & Sen, S. (2008). Incorporating learning in bdi agents, 49.
  • Erete, I., Ferguson, E., & Sen, S. (2008). Learning Task-Specific Trust Decisions (Short Paper).
  • Gursel, A., Mistry, O., & Sen, S. (2008). Robust Trust Mechanisms for Monitoring Aggregator Nodes in Sensor Networks.
  • Saha, S., & Sen, S. (2007). An Efficient Protocol for Negotiation over Multiple Indivisible Resources, 7, 1494–1499.
  • Sen, S., Saha, S., & Hernandez, K. (2007). Buyer agent to enhance consumer awareness: SAATHI, 6, 209–218.
  • Chakraborty, D., & Sen, S. (2007). Detecting deviations from joint plans in cooperative multi-agent systems.
  • Mukherjee, P., & Sen, S. (2007). Detecting malicious sensor nodes from learned data patterns, 7.
  • Sen, S., & Airiau, S. (2007). Emergence of Norms through Social Learning, 1507, 1512.
  • Airiau, S., Saha, S., & Sen, S. (2007). Evolutionary tournament-based comparison of learning and non-learning algorithms for iterated games, 10, 7.
  • Learning to identify beneficial partners. (2007), 7.
  • Sen, S., Gursel, A., & Airiau, S. (2007). Learning to identify beneficial partners, 7.
  • Mukherjee, P., Sen, S., & Airiau, S. (2007). Norm emergence in spatially constrained interactions, 7, 2–6.
  • Banerjee, D., & Sen, S. (2007). Reaching pareto-optimality in prisoner’s dilemma using conditional joint action learning, 15, 91–108.
  • Candale, T., & Sen, S. (2006). A comparison of bidding strategies for simultaneous auctions, 5, 41–48.
  • Sen, S., Goswami, I., & Airiau, S. (2006). Expertise and trust-based formation of effective coalitions: an evaluation of the art testbed, 9, 71–78.
  • Tuyls, K., Verbeeck, K., & Sen, S. (2006). Learning and Adaptation in Multi-Agent Systems, 3898.
  • Saha, S., & Sen, S. (2005). Aggressive pricing to exploit market niches in supply chains, 20, 36–41.
  • Sen, S., Dutta, P., & Debnath, S. (2005). CHAYANI: A shopper’s assistant, 14, 3–24.
  • Banerjee, D., & Sen, S. (2005). Convergence to Pareto Optimality in General Sum Games via Learning Opponent’s Preference, 6, 43–49.
  • Candale, T., & Sen, S. (2005). Fast convergence to satisfying distributions, 19, 1657.
  • SAHA, S., & Sen, S. (2005). Inteligent manufacturing control: Inteligent manufacturing control, 20, 36–41.
  • Garci’a-Barriocanal, E., Sicilia, M., Sanchez-Alonso, S., Andre, E., Sen, S., & Frasson, C. (2005). Knowl. Org. 32 (2005) No. l 9, 32, 9.
  • McGlohon, M., & Sen, S. (2005). Learning to cooperate in multi-agent systems by combining Q-learning and evolutionary strategy, 1, 58–64.
  • Sen, S., Candale, T., & Basak, S. (2005). Profit sharing auction, 20, 170.
  • Sen, S., Saha, S., & Dutta, P. (2004). Web Query Reformulation by Knowledgeable Agents, 45, I–659.
  • Saha, S., & Sen, S. (2004). Agent based framework for content based image retrieval.
  • McDonald, A., & Sen, S. (2004). Analyzing the effects of tags on promoting cooperation in Prisoner’s Dilemma.
  • Airiau, S., Saha, S., & Sen, S. (2004). Dynamics of strategy distribution in iterated games.
  • Banerjee, D., Saha, S., & Sen, S. (2004). Expertise Selection by Predicting Mutually Beneficial Partnerships.
  • Soh, L.-K., Anderson, J., Anderson, J., Tanner, B., Baltes, J., Banerjee, D., Saha, S., Sen, S., Fass, L., & Li, X. (2004). Forming and Maintaining Coalitions & Teams in Adaptive Multiagent Systems.
  • Learning TOMs: Towards Non-Myopic Equilibria. (2004).
  • Ghosh, A., & Sen, S. (2004). Learning TOMs: Towards Non-Myopic Equilibria.
  • Banerjee, B., Sen, S., & Peng, J. (2004). On-policy concurrent reinforcement learning, 16, 245–260.
  • Mukherjee, R., Sajja, N., & Sen, S. (2003). A movie recommendation system–an application of voting theory in user modeling, 13, 5–33.
  • Dutta, P., & Sen, S. (2003). Forming stable partnerships, 4, 211–221.
  • Ghosh, A., & Sen, S. (2003). Learning TOMs: Convergence to Non-Myopic Equilibria.
  • Airiau, S., & Sen, S. (2003). Strategic bidding for multiple units in simultaneous and sequential auctions, 12, 397–413.
  • Airiau, S., & Sen, S. (2003). Tournament-based comparison of learning and non-leanring strategies in iterated single-stage games, 1–6.
  • Sen, S., Saha, S., & Dutta, P. (2002). Web Query Reformulation by Knowledgeable Agents. In Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on (Vol. 1, p. I–659).
  • Kar, P., Sen, S., & Dutta, P. (2002). Effect of individual opinions on group interactions, 14, 335–344.
  • Dutta, P., & Sen, S. (2002). Emergence of stable coalitions via negotiation of task exchanges.
  • Kar, P., Dutta, P., & Sen, S. (2002). Group interactions based on agent opinion, 28.
  • Sen, S., & Sajja, N. (2002). Selecting service providers based on reputation.
  • Sen, S., & Biswas, A. (2002). Study of structural deformation in cyclic loading by using cathode-ray oscilloscope, 336–339.
  • Dutta, P., Sen, S., & Mukherjee, R. (2001). Scheduling to be competitive in supply chains.
  • Mukherjee, R., & Sen, S. (2001). Towards a pareto-optimal solution in general-sum games.
  • Damouth, D., Gmytrasiewicz, P., Huber, M., & Sen, S. (2001). Coordination as Distributed Search, 67.
  • Banerjee, B., Sen, S., & Peng, J. (2001). Fast concurrent reinforcement learners, 17, 825–832.
  • Spector, L., Goodman, E., Wu, A., Langdon, W., Voigt, H.-M., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., & Garzon, M. (2001). Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2001.
  • Banerjee, B., Mukherjee, R., & Sen, S. (2000). Learning mutual trust, 9–14.
  • Mukherjee, R., Dutta, P., & Sen, S. (2000). Analysis of domain specific ontologies for agent-oriented information retrieval.
  • Debnath, S., Sen, S., & Blackstock, B. (2000). LawBot: a multiagent assistant for legal research, 32–37.
  • Biswas, A., Sen, S., & Debnath, S. (2000). Limiting deception in groups of social agents, 14, 785–797.
  • Drabble, B., Chaudron, L., Tessier, C., Abu-Hakima, S., Willmott, S., Austin, J., Faltings, B., Freuder, E., Friedrich, G., & Freitas, A. (2000). Reports on the AAAI 1999 Workshop Program, 21, 95.
  • Banerjee, B., Biswas, A., Mundhe, M., Debnath, S., & Sen, S. (2000). Using bayesian networks to model agent relationships, 14, 867–879.
  • Sen, S., & Weiss, G. (1999). 6 Learning in Multiagent Systems, 259.
  • Nadella, R., Arora, N., & Sen, S. (1999). A Testbed for Studying Coordination of Autonomous Agents, 18, 49–53.
  • Sen, S., Dutta, P., & Mukherjee, R. (1999). Agents that represent buyer’s interests in E-commerce.
  • Biswas, A., Debnath, S., & Sen, S. (1999). Believing others: Pros and cons.
  • Sen, S. (1999). Negotiation: settling conflicts and identifying opportunities.
  • Green, N., Chu-Carroll, J., Kortenkamp, D., Schultz, A., Coen, M., Radev, D., Hovy, E., Haddawy, P., Hanks, S., & Freuder, E. (1999). The AAAI Spring Symposia, 20, 83.
  • Homb, A., Mundhe, M., Kimsen, S., & Sen, S. (1999). Trip-planner: An agent framework for collaborative trip planning.
  • Banerjee, B., Debnath, S., & Sen, S. (1999). Using Bayesian network to aid negotiations among agents, 99.
  • Sen, S., & Durfee, E. (1998). A formal study of distributed meeting scheduling, 7, 265–289.
  • Sen, S. (1998). Evolution and learning in multiagent systems, 48, 1–7.
  • Sen, S., & Sekaran, M. (1998). Individual learning of coordination knowledge, 10, 333–356.
  • Haynes, T., & Sen, S. (1998). Learning cases to resolve conflicts and improve group behavior, 48, 31–49.
  • Sen, S. (1998). Satisficing models, 5.
  • Mundher, M., & Sen, S. (1998). Use of voting schemes to tradeoff user preferences, 75–76.
  • Sen, S., Arora, N., & Roychowdhury, S. (1998). Using limited information to enhance group stability, 48, 69–82.
  • Sen, S., Haynes, T., & Arora, N. (1997). Satisfying user preferences while negotiating meetings, 47, 407–427.
  • Haynes, T., & Sen, S. (1997). Crossover operators for evolving a team, 199.
  • Sen, S. (1997). Developing an automated distributed meeting scheduler, 12, 41–45.
  • Gordin, M., Sen, S., & Puppala, N. (1997). Evolving cooperative groups: Preliminary results.
  • Sen, S., & Arora, N. (1997). Learning to take risks, 59–64.
  • Sen, S. (1997). Multiagent systems: Milestones and new horizons, 1, 334–340.
  • Haynes, T., & Sen, S. (1997). The evolution of multiagent coordination strategies, 315.
  • Sen, S., Roychowdhury, S., & Arora, N. (1996). Effects of local information on group behavior, 315–321.
  • Haynes, T., & Sen, S. (1996). Satisfying user preferences while negotiating meetings.
  • Sen, S., & Durfee, E. (1996). A contracting model for flexible distributed scheduling, 65, 195–222.
  • Haynes, T., & Sen, S. (1996). Adaptation using cases in cooperative groups.
  • Haynes, T., & Sen, S. (1996). Co-adaptation in a team, 1, 1–20.
  • Haynes, T., & Sen, S. (1996). Cooperation of the fittest, 47–55.
  • Roychowdhury, S., Arora, N., & Sen, S. (1996). Effects of local information on group behavior, 1406–1406.
  • Sen, S. (1996). IJCAI-95 workshop on adaptation and learning in multiagent systems, 17, 87.
  • Haynes, T., Lau, K., & Sen, S. (1996). Learning cases to compliment rules for conflict resolution in multiagent systems, 51–56.
  • Sen, S. (1996). Modeling human categorization by a simple classi er system, 71–76.
  • Sen, S. (1996). Reciprocity: a foundational principle for promoting cooperative behavior among self-interested agents, 315, 321.
  • Arora, N., & Sen, S. (1996). Resolving social dilemmas using genetic algorithms, 1–5.
  • Gil, Y., Sen, S., Kohane, I., Olivier, P., Nakata, K., Di Eugenio, B., Green, N., Dean, T., Hearst, M., & Nourbakhsh, I. (1996). The 1996 AAAI Spring Symposia Reports, 17, 109.
  • Evolving a team. (1995), 23–30.
  • Sekaran, M., & Sen, S. (1995). To help or not to help1.
  • Sen, S., & Durfee, E. (1995). Unsupervised surrogate agents and search bias change in flexible distributed scheduling, 1001, 48109.
  • Sen, S., & Durfee, E. (1994). Adaptive surrogate agents.
  • Sen, S., & Durfee, E. (1994). The role of commitment in cooperative negotiation, 3, 67–81.
  • Gamble, R., & Sen, S. (1994). Using Formal Specification to Resolve Conflicts between Contracting Agents, 33–38.
  • Sen, S., & Paul, S. (1993). Stochastic Methods in Distributed Data Allocation, 47–54.
  • Sen, S., Janakiraman, J., & Paul, S. (1992). Genetic Utility Optimizer, 31–38.
  • Sen, S. (1991). Genetic learning of logic functions, 83–88.
  • Sen, S., Banerjee, D., & Biswas, A. (1987). Estimation of Residual Life in Fluctuating Loading Through Resistance Measurement, 42.
  • Nadella, R., Arora, N., Sen, S., & Sen, I. A testbed for studying coordination of autonomous agents: a Java based robotic soccer simulator.
  • Weiss, G., & Sen, S. Adaptation and learning in multi-agent systems(Montréal PQ, August 21, 1995).
  • Blumenthal, H., Parker, G., Moody, J., Liu, Y., Saffell, M., Youn, K., Airiau, S., Saha, S., Sen, S., & Hsu, W. Adapting Network Structure for Efficient Team Formation/1 Matthew E. Gaston, John Simmons, and Marie desJardins Analyzing the Effects of Tags on Promoting Cooperation in Prisoner’s Dilemma/9 Austin McDonald and Sandip Sen Co-Evolving Team Capture Strategies for Dissimilar Robots/15.
  • Sen, S., Ridgway, A., & Ripley, M. Adaptive Budgeted Bandit Algorithms for Trust in a Supply-Chain Setting.
  • Sen, S., & Kar, P. An Agent-to-Agent Framework for Concept Transfer.
  • Haynes, T., & Sen, S. Department of Mathematical & Computer Sciences The University of Tulsa 600 South College Avenue Tulsa, OK 74104 ${$3189.
  • Koehler, G., Conover, A., Hammell, R., Palla, G., Vicsek, T., Fonseca, A., Passerini, F., Severini, S., Airiau, S., & Padgham, L. Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications.
  • Stone, P., Littman, M., Markovitch, S., Parkes, D., Riedmiller, M., Rovatsos, M., Sen, S., Shoham, Y., Tesauro, G., & Tumer, K. Eduardo Alonso, City University London Michael Bowling, University of Alberta Enric Plaza, Institut d’Investigació en Intel. ligència Artificial (IIIA), Barcelona.
  • Kar, P., Sen, S., & Dutta, P. Eect of individual opinions on group interactions.
  • Sen, O., & Sen, S. Effects of Social Network Topology on Norm Emergence.
  • Hafizoglu, F., & Sen, S. Evaluating Trust Levels in Human-agent Teamwork in Virtual Environments.
  • Sen, S. I would like to thank the members of the organizing committee, the authors, and all participants for making this an instructive and fruitful workshop.
  • Sen, S., & Mukherjee, R. Negotiating efficient envy-free divisions, 149–154.
  • Chakraborty, D., Saha, S., Sen, S., & Clement, B. Negotiating orbiters: a look into the future.
  • Brooks, L., & Sen, S. Performance Metrics and System Behavior: Some Anomalies.
  • Saha, S., & Sen, S. Predicting Agent Strategy Mix in Heterogeneous Populations.
  • Biswas, A., & Sen, S. Reciprocating with learned models.
  • Aitken, S., Akkermans, H., Alexander, P., Altman, R., Arimura, H., Azevedo, R., Balasuriya, A., Baten, S., Birk, A., & Birmingham, W. Salute to 1998 Reviewers.
  • Sen, O., & Sen, S. Solving The Tragedy of the Commons by Adapting Aspiration Levels.
  • Sen, S. The Influence of a Domain’s Behavioral Laws on On-Line Learning.
  • Saha, S., & Sen, S. Towards Efficient Outcomes in Multi-issue Negotiation, 17.
  • Sen, S. Tulsa, OK 74104, 1001, 48109.
  • Gordin, M., & Sen, S. Using Observation to Select Complementary Goals.
  • Dutta, P., Sen, S., Soh, L., Tsatsoulis, C., Yadgar, O., Kraus, S., Ortiz, Jr, C., Nair, R., Tambe, M., & Marsella, S. Welcome and Introduction Emergence of Stable Coalitions via Negotiation of Task Exchanges.
  • Tuyls, K., Verbeeck, K., & Sen, S. Workshop on Learning and Adaptation in Multi Agent Systems.
  • Sen, S. Of Social Norms and Sanctioning: A Game Theoretical Overview.

Conference Proceedings

  • Sen, S., Ridgway, A., & Ripley, M. (2015). Adaptive Budgeted Bandit Algorithms for Trust Development in a Supply-Chain. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (pp. 137–144).
  • Liu, Y., Zhang, J., An, B., & Sen, S. (2014). A practical robustness measure of incentive mechanisms. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (pp. 1379–1380).
  • Brooks, L., & Sen, S. (2014). Improving scalability and dependability of stochastic MAS analyses. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems (pp. 709–716).
  • Sen, S. (2013). A comprehensive approach to trust management. In Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems (pp. 797–800).
  • Olsen, J., & Sen, S. (2014). Discovery, utilisation and analysis of credible threats for 2$$ 2 incomplete information games in the Theory of Moves framework. Connection Science, 26(2), 123–140.

  • Crawford, C., Brooks, L., & Sen, S. (2013). Opposites repel: the effect of incorporating repulsion on opinion dynamics in the bounded confidence model. In Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems (pp. 1225–1226).
  • Chatterjee, S., Hafizoglu, F., & Sen, S. (2013). Predicting migration and opinion adoption patterns in agent communities. In Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems (pp. 1287–1288).
  • Chatterjee, S., Ruff, A., & Sen, S. (2012). Opinion convergence in agent networks. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems-Volume 3 (pp. 1333–1334).
  • Hafizoglu, F., & Sen, S. (2012). Patterns of migration and adoption of choices by agents in communities.
  • Hafizoglu, F., & Sen, S. (2012). Patterns of Migration and Adoption of Choices By Agents in Communities. Citeseer.

  • Brooks, L., Iba, W., & Sen, S. (2011). Modeling the emergence of norms. In The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 3 (pp. 1239–1240).
  • Sen, S., & Chakraborty, K. (2010). Comprehensive trust management. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1 (pp. 1573–1574).
  • Airiau, S., & Sen, S. (2010). On the stability of an Optimal Coalition Structure. In ECAI (pp. 203–208).
  • Airiau, S., & Sen, S. (2009). A fair payoff distribution for myopic rational agents. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 (pp. 1305–1306).
  • Mistry, O., Gürsel, A., & Sen, S. (2009). Comparing trust mechanisms for monitoring aggregator nodes in sensor networks. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 (pp. 985–992).
  • Matlock, M., & Sen, S. (2009). Effective tag mechanisms for evolving cooperation. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 1 (pp. 489–496).
  • Villatoro, D., Sabater-Mir, J., & Sen, S. (2009). Interaction, observance or both? Study of the effects on convention emergence. In CCIA (pp. 189–196).
  • Gürsel, A., & Sen, S. (2009). Producing timely recommendations from social networks through targeted search. In Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems-Volume 2 (pp. 805–812).
  • Villatoro, D., Sen, S., & Sabater-Mir, J. (2009). Topology and memory effect on convention emergence. In Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 02 (pp. 233–240).
  • Chakraborty, D., & Sen, S. (2008). MB-AIM-FSI: A model based framework for exploiting gradient ascent multiagent learners in strategic interactions. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems-Volume 1 (pp. 371–378).
  • Mukherjee, P., Sen, S., & Airiau, S. (2008). Norm emergence under constrained interactions in diverse societies. In Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems-Volume 2 (pp. 779–786).
  • Chakraborty, D., & Sen, S. (2007). Computing effective communication policies in multiagent systems. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (p. 36).
  • Chakraborty, D., & Sen, S. (2007). Distributed intrusion detection in partially observable markov decision processes. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (p. 223).
  • Matlock, M., & Sen, S. (2007). Effective tag mechanisms for evolving coordination. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (p. 251).
  • Mukherjee, P., Sen, S., & Airiau, S. (2007). Emergence of norms with biased interactions in heterogeneous agent societies. In Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology-Workshops (pp. 512–515).
  • Candale, T., & Sen, S. (2007). Multi-Dimensional Bid Improvement Algorithm for Simultaneous Auctions. In IJCAI (pp. 1215–1220).
  • Saha, S., & Sen, S. (2007). Reciprocal negotiation over shared resources in agent societies. In Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems (p. 116).
  • Porter, J., & Sen, S. (2007). Searching for Collaborators in Agent Networks. In Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology-Workshops (pp. 508–511).
  • Erete, I., Candale, T., & Sen, S. (2006). Effect of deceptive referrals on system stability. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (pp. 1266–1268).
  • Airiau, S., Sen, S., & Dasgupta, P. (2006). Effect of joining decisions on peer clusters. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (pp. 609–615).
  • Candale, T., & Sen, S. (2006). Evaluating bidding strategies for simultaneous auctions. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (pp. 1211–1213).
  • Sen, S., & Banerjee, D. (2006). Monopolizing markets by exploiting trust. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (pp. 1249–1256).
  • Saha, S., & Sen, S. (2006). Negotiating efficient outcomes over multiple issues. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (pp. 423–425).
  • Chakraborty, D., & Sen, S. (2006). Teaching new teammates. In Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (pp. 691–693).
  • Candale, T., & Sen, S. (2005). Effect of referrals on convergence to satisficing distributions. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 347–354).
  • Airiau, S., Sen, S., & Saha, S. (2005). Evolutionary Tournament-Based Comparison of Learning and Non-Learning Strategies for Iterated Games. In FLAIRS Conference (pp. 449–454).
  • Saha, S., Biswas, A., & Sen, S. (2005). Modeling opponent decision in repeated one-shot negotiations. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 397–403).
  • Saha, S., & Sen, S. (2005). Predicting agent strategy mix of evolving populations. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 1075–1082).
  • Banerjee, D., Saha, S., Sen, S., & Dasgupta, P. (2005). Reciprocal resource sharing in P2P environments. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 853–859).
  • Ghosh, A., & Sen, S. (2005). Theory of moves learners: Towards non-myopic equilibria. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 74–80).
  • Sen, S., Saha, S., & Banerjee, D. (2005). Trust-based contracting in supply chains. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 1251–1252).
  • Saha, S., & Sen, S. (2004). A bayes net approach to argumentation. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 3 (pp. 1436–1437).
  • Banerjee, D., Saha, S., & Sen, S. (2004). Adapting agent expertise based on future expectations. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 3 (pp. 1400–1401).
  • Sen, S., Airiau, S., & Mukherjee, R. (2003). Towards a pareto-optimal solution in general-sum games. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems (pp. 153–160).
  • Kar, P., & Sen, S. (2003). Agent teaching agent framework. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems (pp. 1028–1029).
  • Saha, S., Sen, S., & Dutta, P. (2003). Helping based on future expectations. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems (pp. 289–296).
  • Sen, S., & Sajja, N. (2003). Selecting service providers from noisy reputations. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems (pp. 1114–1115).
  • Sen, S., Saha, S., & Dutta, P. (2002). Web Query Reformulation by Knowledgeable Agents. In Circuits and Systems, 2002. MWSCAS-2002. The 2002 45th Midwest Symposium on (Vol. 1, p. I–659).
  • Dutta, P., & Sen, S. (2002). Optimal sequencing of individually rational contracts. In Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2 (pp. 607–612).
  • Sen, S., & Sajja, N. (2002). Robustness of reputation-based trust: Boolean case. In Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1 (pp. 288–293).
  • Sen, S., & Dutta, P. (2002). The evolution and stability of cooperative traits. In Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3 (pp. 1114–1120).
  • Mukherjee, R., & Sen, S. (2001). Towards a pareto-optimal solution in general-sum games.
  • Dutta, P., Debnath, S., & Sen, S. (2001). A shopper’s assistant. In Proceedings of the fifth international conference on Autonomous agents (pp. 59–60).
  • Dutta, P., & Sen, S. (2001). Identifying partners and sustenance of stable, effective coalitions. In Proceedings of the fifth international conference on Autonomous agents (pp. 23–24).
  • Mukherjee, R., Jonsdottir, G., Sen, S., & Sarathi, P. (2001). Movies2go: an online voting based movie recommender system. In Proceedings of the fifth international conference on Autonomous agents (pp. 114–115).
  • Banerjee, B., & Sen, S. (2000). Selecting partners. In Proceedings of the fourth international conference on Autonomous agents (pp. 261–262).
  • Sen, S., & Hernandez, K. (2000). A buyer’s agent. In Proceedings of the fourth international conference on Autonomous agents (pp. 156–162).
  • Mundhe, M., & Sen, S. (2000). Agent Societies without dilemmas: an evolutionary approach. In MultiAgent Systems, 2000. Proceedings. Fourth International Conference on (pp. 431–432).
  • Sen, S., Biswas, A., & Debnath, S. (2000). Believing others: pro and cons. In MultiAgent Systems, 2000. Proceedings. Fourth International Conference on (pp. 279–285).
  • Banerjee, B., Debnath, S., & Sen, S. (2000). Combining multiple perspectives. In In Proceedings of the Seventeenth International Conference on Machine Learning.
  • Mundhe, M., & Sen, S. (2000). Evaluating concurrent reinforcement learners. In MultiAgent Systems, 2000. Proceedings. Fourth International Conference on (pp. 421–422).
  • Mundhe, M., & Sen, S. (2000). Evolving agent socienties that avoid social dilemmas. In GECCO (pp. 809–816).
  • Sen, S., & Biswas, A. (2000). More than envy-free. In MultiAgent Systems, 2000. Proceedings. Fourth International Conference on (pp. 433–434).
  • Sen, S., & Dutta, P. (2000). Searching for optimal coalition structures. In MultiAgent Systems, 2000. Proceedings. Fourth International Conference on (pp. 287–292).
  • Biswas, A., & Sen, S. (1999). Influence of perspectives on help-giving behaviors. In Proceedings of the third annual conference on Autonomous Agents (pp. 352–353).
  • Biswas, A., & Sen, S. (1999). Learning to model behaviors from boolean responses. In Proceedings of the third annual conference on Autonomous Agents (pp. 396–397).
  • Ghosh, S., Mundhe, M., Hernandez, K., & Sen, S. (1999). Voting for movies: the anatomy of a recommender system. In Proceedings of the third annual conference on Autonomous Agents (pp. 434–435).
  • Sen, S., & Biswas, A. (1998). Effects of misconception on reciprocative agents. In Proceedings of the second international conference on Autonomous agents (pp. 430–435).
  • Puppala, N., Sen, S., & Gordin, M. (1998). Shared memory based cooperative coevolution. In Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on (pp. 570–574).
  • Haynes, T., Sen, S., Arora, N., & Nadella, R. (1997). An automated meeting scheduling system that utilizes user preferences. In Proceedings of the first international conference on Autonomous agents (pp. 308–315).
  • Sen, S., & Knight, L. (1995). A genetic prototype learner. In IJCAI (1) (pp. 725–733).
  • Haynes, T., Wainwright, R., & Sen, S. (1995). Evolving Cooperation Strategies. In (p. 450). First International Conference on Multiagent Systems (ICMAS-95).
  • Knight, L., & Sen, S. (1995). PLEASE: A Prototype Learning System Using Genetic Algorithms. In ICGA (pp. 429–435).
  • Strongly Typed Genetic Programming in Evolving Cooperation Strategies. (1995). In Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 15-19, 1995 (pp. 271–278).
  • Sen, S. (1994). A Tale of Two Representations. In IEA/AIE (pp. 245–254).
  • Sen, S. (1994). File placement over a network using simulated annealing326741. In Proceedings of the 1994 ACM symposium on Applied computing (pp. 251–255).
  • Sen, S., & Damouth, D. (1994). Graph-theoretic approaches to problem decomposition in multi-agent systems. In Proceedings of the 22nd annual ACM computer science conference on Scaling up: meeting the challenge of complexity in real-world computing applications: meeting the challenge of complexity in real-world computing applications (pp. 82–89).
  • Learning to coordinate without sharing information. (1994). In AAAI (pp. 426–431).
  • Sekaran, M., & Sen, S. (1994). Multi-agent learning in non-cooperative domains. In AAAI (p. 1489).
  • Sen, S., & Durfee, E. (1994). On the design of an adaptive meeting scheduler. In Artificial Intelligence for Applications, 1994., Proceedings of the Tenth Conference on (pp. 40–46).
  • Sen, S. (1994). Representational effects in a simple classifier system. In Proceedings of the 1994 ACM symposium on Applied computing (pp. 206–211).
  • Corcoran, A., & Sen, S. (1994). Using real-valued genetic algorithms to evolve rule sets for classification. In Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on (pp. 120–124).
  • Sen, S. (1993). Improving classification accuracy through performance history. In Proceedings of the 5th International Conference on Genetic Algorithms (p. 652).
  • Sen, S. (1993). Minimal cost set covering using probabilistic methods. In Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice (pp. 157–164).
  • Sen, S., & Durfee, E. (1993). Using temporal abstractions and cancellations for efficiency in automated meeting scheduling. In Intelligent and Cooperative Information Systems, 1993., Proceedings of International Conference on (pp. 163–172).
  • Sen, S., & Janakiraman, J. (1992). Learning to construct pushdown automata for accepting deterministic context-free languages. In Aerospace Sensing (pp. 207–213).
  • Sen, S., & Durfee, E. (1991). A formal study of distributed meeting scheduling: Preliminary results. In ACM SIGOIS Bulletin (Vol. 12, pp. 55–68).
  • Bonelli, P., Parodi, A., Sen, S., & Wilson, S. (1990). NEWBOOLE: a fast GBML system. In Proceedings of the seventh international conference (1990) on Machine learning (pp. 153–159).
  • Sen, S. (1988). Sequential Boolean function learning by classifier system. In Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems-Volume 2 (pp. 1151–1156).

Books

  • Rahwan, I., Wobcke, W., Sen, S., & Sugawara, T. (2012). Principles and Practice of Multi-Agent Systems: 15th International Conference, PRIMA 2012, Kuching, Sarawak, Malaysia, September 3-7, 2012, Proceedings (Vol. 7455). Springer.
  • Sen, S. (2006). Learning and Adaption in Multi-Agent Systems. Springer-Verlag Berlin/Heidelberg.
  • Müller, J., Andre, E., Sen, S., & Frasson, C. (2001). Proceedings of the Fifth International Conference on Autonomous Agents: Montreal, Canada, May 28-June 1, 2001. ACM Press.
  • Touzet, C., & Sen, S. (1997). Learning agents.
  • Weiß, G., & Sen, S. (1996). Adaptation and Learning in Multi-Agent Systems: IJCAI’95 Workshop, Montreal, Canada, August 21, 1995. Proceedings (Vol. 1042). Springer.
  • Sen, S. (1996). Adaptation, Coevolution and Learning in Multiagent Systems: Papers from the 1996 AAAI Symposium, March 25-27, Stanford, California. AAAI Press.
  • Weib, G., & Sen, S. (1996). ADAPTION AND LEARNING IN MULTI-AGENT SYSTEMS: IJCAI’95 Workshop Montreal, Canada, August 1995 Proceedings. Springer-Verlag.
  • Wei, G., & Sen, S. (1996). Adaption and Learning in Multi-Agent Systems: IJCAI’95 Workshop Montréal, Canada, August 21, 1995 Proceedings. Springer Berlin Heidelberg.
  • Weiss, G., & Sen, S. (1996). Adaption and Learning in Multi-agent Systems: IJCAI’95 Workshop, Montreal, Canada, August 21, 1995. Springer.
  • Sen, S. (1988). Distributed Parallel Genetic Algorithms (dipggal).

Book Chapters

  • Hafizoglu, F., & Sen, S. (2014). Analysis of Fairness and Incentives of Profit Sharing Schemes in Group Buying. In Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets (pp. 70–83). Springer.
  • Adaptive and non-adaptive distribution functions for DSA. (2012). In Principles and Practice of Multi-Agent Systems (pp. 58–73). Springer.
  • Grove, F., Sen, S., & Mistry, O. (2012). Adaptive choice of behavior and protocol parameters. In Principles and Practice of Multi-Agent Systems (pp. 152–165). Springer.
  • Hafizoglu, F., & Sen, S. (2012). Analysis of Opinion Spread through Migration and Adoption in Agent Communities. In PRIMA 2012: Principles and Practice of Multi-Agent Systems (pp. 153–167). Springer.
  • Sen, O., & Sen, S. (2012). Averting the tragedy of the commons by adapting aspiration levels. In Principles and Practice of Multi-Agent Systems (pp. 355–370). Springer.
  • Mistry, O., & Sen, S. (2012). Probabilistic approaches to tag recommendation in a social bookmarking network. In Principles and Practice of Multi-Agent Systems (pp. 270–287). Springer.
  • Grove, F., & Sen, S. (2012). TwitAg: a multi-agent feature selection and recommendation framework for Twitter. In Principles and Practice of Multi-Agent Systems (pp. 394–397). Springer.
  • Adapting rewards to encourage creativity. (2011). In Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience (pp. 51–69). IGI Global.
  • Sen, S. (2011). Tools for a robust, sustainable agent community. In Agents in Principle, Agents in Practice (pp. 2–2). Springer.
  • Sen, O., & Sen, S. (2010). Effects of social network topology and options on norm emergence. In Coordination, Organizations, Institutions and Norms in Agent Systems V (pp. 211–222). Springer.
  • Sen, S. (2010). Finding useful items and links in social and agent networks. In Agents and Data Mining Interaction (pp. 3–3). Springer.
  • Porter, J., Chakraborty, K., & Sen, S. (2010). Learning to locate trading partners in agent networks. In Adaptive and Learning Agents (pp. 107–122). Springer.
  • Saha, S., & Sen, S. (2008). Opportunistic Scheduling and Pricing Strategies for Automated Contracting in Supply Chains. In Soft Computing Applications in Business (pp. 179–199). Springer.
  • Mukherjee, P., & Sen, S. (2008). Using learned data patterns to detect malicious nodes in sensor networks. In Distributed Computing and Networking (pp. 339–344). Springer Berlin Heidelberg.
  • Sen, S., Saha, S., Airiau, S., Candale, T., Banerjee, D., Chakraborty, D., Mukherjee, P., & Gursel, A. (2007). Robust agent communities. In Autonomous Intelligent Systems: Multi-Agents and Data Mining (pp. 28–45). Springer.
  • Airiau, S., & Sen, S. (2006). Learning pareto-optimal solutions in 2×2 conflict games. In Learning and Adaption in Multi-Agent Systems (pp. 86–99). Springer.
  • Candale, T., & Sen, S. (2006). Learning to use referrals to select satisficing service providers. In Innovative Concepts for Autonomic and Agent-Based Systems (pp. 13–22). Springer.
  • Chakraborty, D., Saha, S., Sen, S., & Clement, B. (2006). Negotiating monitoring task allocation for orbiters. In Distributed Computing and Networking (pp. 282–287). Springer.
  • McDonald, A., & Sen, S. (2006). The success and failure of tag-mediated evolution of cooperation. In Learning and adaption in multi-agent systems (pp. 155–164). Springer Berlin Heidelberg.
  • Saha, S., & Sen, S. (2005). A Bayes net approach to argumentation based negotiation. In Argumentation in Multi-Agent Systems (pp. 208–222). Springer.
  • Ghosh, A., & Sen, S. (2005). Agent-based distributed intrusion alert system. In Distributed Computing-IWDC 2004 (pp. 240–251). Springer.
  • Candale, T., Erete, I., & Sen, S. (2005). Using inertia and referrals to facilitate satisficing distributions. In Distributed Computing–IWDC 2005 (pp. 572–577). Springer.
  • Airiau, S., Sen, S., Wolpert, D., & Tumer, K. (2004). Providing effective access to shared resources: a COIN approach. In Engineering Self-Organising Systems (pp. 249–264). Springer.
  • Saha, S., & Sen, S. (2003). Scheduling to be competitive in supply chains. In Intelligent Systems Design and Applications (pp. 459–468). Springer.
  • Sen, S., Dutta, P., & Saha, S. (2003). Emergence and stability of collaborations among rational agents. In Cooperative Information Agents VII (pp. 192–205). Springer.
  • Sen, S., Debnath, S., & Mundhe, M. (2003). Evolving coordinated agents. In Advances in evolutionary computing (pp. 559–577). Springer.
  • Saha, S., & Sen, S. (2003). Local decision procedures for avoiding the Tragedy of Commons. In Distributed Computing-IWDC 2003 (pp. 311–320). Springer.
  • Banerje, B., & Sen, S. (2002). Selecting partners. In Game theory and decision theory in agent-based systems (pp. 29–42). Springer.
  • Nuchia, S., & Sen, S. (2002). Improving optimality of n agent envy-free divisions. In Intelligent Agents VIII (pp. 277–289). Springer.
  • Mukherjee, R., Banerjee, B., & Sen, S. (2001). Learning mutual trust. In Trust in Cyber-societies (pp. 145–158). Springer.
  • Dutta, P., Sen, S., & Mukherjee, R. (2001). Scheduling to be competitive in supply chains.
  • Banerjee, B., & Sen, S. (2000). Selecting partners. In Proceedings of the fourth international conference on Autonomous agents (pp. 261–262).
  • Banerjee, B., Mukherjee, R., & Sen, S. (2000). Learning mutual trust, 9–14.
  • Sen, S., Biswas, A., & Ghosh, S. (1999). Adaptive choice of information sources. In Intelligent Information Agents (pp. 258–278). Springer.
  • Nadella, R., & Sen, S. (1997). Correlating internal parameters and external performance: learning soccer agents. In Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments (pp. 137–150). Springer.
  • Sen, S., Knight, L., & Legg, K. (1997). Prototype based supervised concept learning using genetic algorithms. In Evolutionary Algorithms in Engineering Applications (pp. 223–239). Springer.
  • Haynes, T., & Sen, S. (1996). Evolving behavioral strategies in predators and prey. In Adaption and learning in multi-agent systems (pp. 113–126). Springer.
  • Sen, S., & Sekaran, M. (1996). Multiagent coordination with learning classifier systems. In Adaption and Learning in Multi-agent systems (pp. 218–233). Springer.
  • Sen, S., & Sekaran, M. (1996). Using reciprocity to adapt to others. In Adaption and Learning in Multi-Agent Systems (pp. 206–217). Springer.
  • Durfee, E., Damouth, D., Huber, M., Montgomery, T., & Sen, S. (1994). The search for coordination: Knowledge-guided abstraction and search in a hierarchical behavior space. In Artificial social systems (pp. 186–206). Springer.

Technical Reports

  • Sen, S., & Kar, P. (2002). Sharing a concept. AAAI Tech Report SS-02-02, Stanford.

Other

  • Sen, S. (1993). Predicting tradeoffs in contract-based distributed scheduling.

Courses Taught

  • Machine Learning
  • Research and Dissertation
  • Fundamentals of Algorithm and Computer Applications

Awards & Honors

  • Senior Member
  • TURC Mentor of the Year