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Author Archives: Anita Raja

+ Sep 2022 Raja chairs TAPIA 2022 workshop

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

+Sep 2022 DAIR Lab welcomes new members!

Ph.D. candidate Nan Jia and undergraduate student Eric Li join DAIR. Welcome!

+July 2022 Raja elected to serve on AAAI Executive Council

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

+June 2022 NSF funds 3 year project on robustness in Deep Learning Systems

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.

+June 2022 DAIR member Adam Catto (M.S. ’22) joins Icahn School of Medicine at Mt Sinai as Data Scientist.

Congratulations Adam and Best Wishes!

+May 2022 Article on Traffic Optimization published in the Journal of Intelligent Transportation Systems

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))

+Apr 2022 Raja is invited speaker and panelist at Technology and Society multi-disciplinary conference

More information on the Hunter College-UC Berkeley conference

+ Dec 2021 Hunter College-Columbia University Team Win NIH Data Challenge

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.

+ Nov 2021 Alisa Leshchenko selected for MIT’s QMW 2022

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

+Open Research Assistant Positions

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

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