Pragnesh Jay |
Postdoctoral Fellow, Computer Science Department, Carnegie Mellon University.
Education
- Ph.D. Computer Science, University of Southern California, Los Angeles, CA (Dec 2003).
- B.S. Computer Science/Math, with University Honors, Carnegie-Mellon University, Pittsburgh, PA (May 1997).
I have moved to Drexel University as of Sept 2005!
Please visit my new homepage at:Research
My long-term research goal is to develop technology that will allow us to build intelligent systems that can cope with the inherent distribution present in the world. My goal is motivated by my belief that the assumption of a single central computer with access to global information and making global decisions will not apply in envisioned future applications.One major contribution of my dissertation is the ADOPT algorithm for the Distributed Constraint Optimization Problem (DCOP). ADOPT is the first algorithm for DCOP in which distributed agents can obtain theoretically guaranteed high quality solutions while operating asynchronously and in a decentralized fashion. A pictoral poster view describing my work.
More recently I have become interested in how a group of agents each with their own interests can work together to solve distributed scheduling problems. This investigation is occuring within the context of personal assistant agents who schedule meetings on behalf of busy human managers. See here for more details.
Honors
- Best Student Paper Nomination, Autonomous Agents and Multiagent Systems Conference, 2003
- Invited Young Investigator, Darpa/IPTO Cognitive Systems Conference, 2003
- Meritorious Service Award, Information Sciences Institute/University of Southern California, 2003.
- University Honors, Carnegie Mellon University, 1997
Professional Activities
- Program (Co)Chair, Fourth Americas School on Agents and Multiagent Systems 2005, co-located with AAAI-05, Pittsburgh, PA.
- Program Committee, Autonomous Agents and Multiagent Systems (AAMAS 2005), Utrecht, Netherlands.
- Workshop Chair, Distributed Constraint Reasoning (DCR 2004), Toronto, Canada.
- Program Committee, Intelligent Agent Technologies (IAT 2004), Beijing, China.
- Program Committee, Autonomous Agents and Multiagent Systems (AAMAS 2003), Melbourne, Australia.
- Workshop (Co)Chair, Workshop on Decentralized Resource Allocation (AAMAS 2003)
- Reviewer, Journal of Autonomous Agents and Multiagent Systems (JAAMAS 2002)
- Reviewer, Journal of Artificial Intelligence Research (JAIR)
- Reviewer, International Journal of Cooperative Information Systems, (IJCIS 2001)
- Reviewer, International Joint Conference on Artificial Intelligence (IJCAI 2001, 2003, 2005)
Publications
- Classification of Examples by Multiple Agents with Private Features PDF PS
Pragnesh Jay Modi, Peter Woo Tae Kim
Proceedings of Intelligent Agent Technologies, (IAT) 2005. [18%]
- Impact of Problem Centralization in Distributed Constraint Optimization Algorithms PDF PS
John Davin, Pragnesh Jay Modi
Proceedings of Autonomous Agents and Multi-Agent Systems, (AAMAS) 2005. [24%]
- Bumping Strategies for the Multiagent Agreement Problem PDF PS
Pragnesh Jay Modi, Manuela Veloso
Proceedings of Autonomous Agents and Multi-Agent Systems, (AAMAS) 2005. [24%]
- ADOPT: Asynchronous Distributed Constraint Optimization with Quality Guarantees PDF PS
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo
Artificial Intelligence Journal, (AIJ) 2005.
- Multiagent Meeting Scheduling with Rescheduling PDF PS
Pragnesh Jay Modi, Manuela Veloso
Proceedings of the Fifth Workshop on Distributed Constraint Reasoning, DCR 2004.
- CMRADAR: A Personal Assistant Agent for Calendar Management PDF PS
Pragnesh Jay Modi, Manuela Veloso, Stephen F. Smith, Jean Oh
Agent Oriented Information Systems, (AOIS) 2004.
- Distributed Constraint Optimization for Multiagent Systems PDF PS (PhD Thesis)
Department of Computer Science
University of Southern California, 2003.
- An Asynchronous Complete Method for Distributed Constraint Optimization PDF PS (Nominated for Best Student Paper)
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo
Proceedings of Autonomous Agents and Multi-Agent Systems, (AAMAS) 2003. [25%]- Distributed Constraint Reasoning Under Unreliable Communication PDF PS
Pragnesh Jay Modi, Syed Muhammad Ali
Proceedings of the Fourth Workshop on Distributed Constraint Reasoning, DCR 2003
To appear in Frontiers in Artificial Intelligence and Applications, IOS Press- Distributed Resource Allocation: A Distributed Constraint Reasoning Approach (Book Chapter)
Pragnesh Jay Modi, Paul Scerri, Wei-Min Shen, Milind Tambe
Distributed Sensor Networks: A Multiagent Perspective
Kluwer Academic Publishers, 2003.- Are Multiagent Algorithms Relevant for Real Hardware? A Case Study of Distributed Constraint Algorithms PDF PS
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe
ACM Symposium on Applied Computing, (SAC) 2003.
- A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation PDF PS (Extended Version PDF PS)
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, Wei-Min Shen, Shriniwas Kulkarni
Proceedings of Seventh International Conference on Principles and Practice of Constraint Programming, (CP) 2001.
- Collaborative Multi-Agent Learning for Classification Tasks PS PDF
Pragnesh Jay Modi, Wei-Min Shen
Autonomous Agents Workshop on Learning Agents, Agents 2001- Purposeful Behavior in Robot Soccer Team Play
Wei-Min Shen, Rogelio Adobbati, Pragnesh Jay Modi, Behnam Salemi.
RoboCup 1999: Robot Soccer World Cup III. Lecture Notes in Computer Science.
(Ed.) M. Veloso, E. Pagello, H. Kitano. Springer 2000.- Teamwork in Cyberspace: Using TEAMCORE to Make Agents Team-ready PS
Tambe, M., Shen, W., Mataric, M., Goldberg, D., Modi, J, Qiu, Z., and Salemi, B.
Proceedings of AAAI Spring Symposium on Agents in Cyberspace, pp 136-141, 1999.- Modeling Web Sources for Information Integration
Craig Knoblock, Steven Minton, Jose Luis Ambite, Naveen Ashish, Pragnesh Jay Modi, Ion Muslea, Andrew G. Philpot, Sheila Tejada
Proceedings of the Fifteenth National Conference on Artificial Intelligence, (AAAI) 1998. [30%]Hobbies
I enjoy snowboarding, scuba-diving, and running.Adopt Algorithm