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.
DALI is the winner of the Best Application – Demo Award at AAMAS 2020!
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).