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Multi-Agent Simulation Framework
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Welcome to UTD MAVS

The Multi-Agent & Visualization Systems Lab at the University of Texas at Dallas.


Our mission is to apply software engineering best practices to the development of large-scale multi-disciplinary software projects on challenging research topics appealing to both academia and industry. As thoughtful contributors to the field of software engineering, our lab is currently focused on applying the agent paradigm to the building of large scale, decentralized, and adaptive systems. With the help of state-of-the-art tools, we are providing fresh perspectives on problem modeling and solutions. We hope that our efforts will lead the field in adopting the agent paradigm to address a new class of problems that reflect the evolving computing needs of our society.


  • Congratulations to Mitha Alshammary for being selected as a recipient of the 2021 WTS DFW Chapter Wanda J. Schafer Scholarship.
  • Congratulations to Rishita Bansal for receiving the Best Teaching Assistant Award (CS Dept) for the year 2021.
  • Congratutaltions to Dr. Dhruv Kumar Patel for graduating with his PhD (Fall 2021)
  • DALI is the winner of the Best Application – Demo Award at AAMAS 2020!
  • DALI is a finalist in the Technology Inventor Award category for the 2019 Tech Titan Awards.
  • Interview with Dallas Business Journal about DALI.
  • News segment on CBS 11 about deployment of our collaborative traffic signal timing system in the City of Richardson.
  • Interview with Smart Cities Connect about our research on agent-based collaborative traffic signal timing system.
  • Dallas Innovates article about our research on agent-based collaborative traffic signal management system.
  • Our research on Intelligent Transportation Systems received a Smart 50 Award which recognizes the most innovative and influential global smart projects.
  • Our paper on agent environment interactions in large scale multi-agent simulation systems accepted at AAMAS 2019.
  • Our research on intelligent transportation systems is published at the IEEE International Conference on Intelligent Transportation Systems (ITSC 2018) and the IEEE International Smart Cities Conference (ISC2 2018).