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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.


  • 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).