Undergraduates Matt DiCicco and Eric Li selected to attend the 2023 Quantitative Methods workshop at MIT. Previous DAIR participants include Alisa Leshchenko, Owen Kunhardt and Ajani Stewart

More information on “How to do AI research as an undergraduate?” can be found here!

Ph.D. candidate Nan Jia and undergraduate student Eric Li join DAIR. Ph.D. student Mahdi Loodaricheh will join us in January 2023. Welcome!

Elected by the AAAI community at large to serve a 3 year term on the AAAI Executive council. For more info: https://aaai.org/Organization/officers.php

Raffi Khatchadourian and I will investigate Practical Analyses and Safe Transformations for Imperative Deep Learning Programs as part of this 3 year $600K grant. More details are here.

Congratulations Adam and Best Wishes!

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!