Paper titled “Traffic optimization using a coordinated route updating mechanism* by Di Mei*, I-an Huang Anita Raja, Mohammad Rashedul Hasan, and Ana L. C. Bazzan published in Journal of Intelligent Transportation Systems: Technology, Planning, and Operations (Impact Factor: 4.277 (2020))

Prof. Raja’s invited talk was titled “Artificial Intelligence: Current frontiers and challenges”. More information on the Hunter College-UC Berkeley conference.

The DAIR lab team along with our Columbia University colleagues won one of the seven prizes of the NIH NICHD Decoding Maternal Morbidity Challenge. See Hunter News story here.

DAIR Member Alisa Leshchenko selected to attend MIT’s annual winter Quantitative Methods Workshop 2022! Congratulations Alisa!

The Distributed Artificial Intelligence Research (DAIR) Lab has open Ph.D. research positions starting in Fall 2022. Students, with a strong background in mathematics and computer science, who are interested in Artificial Intelligence and Machine Learning are encouraged to apply. Email Prof. Raja with your cv, personal statement and copy of your transcript with a note about your interest in working in the lab.

More information including the application to the Ph.D. program can be found here: https://www.gc.cuny.edu/Page-Elements/Academics-Research-Centers-Initiatives/Doctoral-Programs/Computer-Science/Program

Paper titled “Multiagent Meta-level Control for Adaptive Traffic Systems: A Case Study“ co-authored by DAIR undergraduate students Yaroslava Shynkar* and Marin Marinov*, Prof. Raja and collaborator Prof. Bazzan was presented at the 24th Euro Working Group on Transportation Meeting, Alveiro, Portugal, September 2021.

The workshop titled “How to Engage in AI Research as an Undergraduate?” is targeted to undergraduate students to expose them to research and get them engaged in research at their own University or in a Summer research program.

Congratuiations Anton and wish you success!