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Author Archives: Anita Raja
+Aug 2025 Raja and Chang co-chair IJCAI 2025 Doctoral Consortium in Montreal, Canada
IJCAI 2025 Doctoral Consortium https://2025.ijcai.org/doctoral-consortium-program/
+July 2025 Two Hunter Computer Scientists Awarded Google Cybersecurity Grants
Professors Mohammad Hossein Manshaei and Anita Raja won the grants for a project on a multimodal intrusion-detection tool leveraging generative AI. PhD. student Mahdi Ara Loodaricheh will be the student lead on the project. https://www.gc.cuny.edu/news/announcing-cuny-winners-2025-google-cybersecurity-grants
+May 2025 Nan, Mahdi and Kat win Best Poster Awards at GC CS 2025 PhD Poster Presentations
Congratulations to DAIR Ph.D. students Nan Jia and Mahdi Arab Loodaricheh who jointly won first palce for their posters for their posters titled “Handling Uncertainty in Health Data using Generative Algorithms” and ” ReLess: A Framework for Assessing Safety in Deep Learning Systems”. DAIR Masters student Kat Desai won secodn place for her poster titled “Predicting […]
+May 2025 Masters student Jeffery Hsu defends Masters thesis
Jeffrey successfully defended his Masters thesis titled” Intuiting Interaction: Meta-Reasoning and Meta-Learning as Foundations for Intelligent User Interfaces” Congrats Jeffrey!
+May 25 Work on automatic refactoring of DL programs receives FASE 25 ETAPS Distinguished Paper Award
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, and Anita Raja. Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution. In Fundamental Approaches to Software Engineering, FASE ’25. ETAPS, May 2025. To appear. (11/31; 35% acceptance rate). Distinguished Paper Award
+Mar 25 Mahdi presents poster at AAAI 25 workshop paper on Large Language Models and Gen AI for Health
The paper is titled “Handling Uncertainty in Health Data using Generative Algorithms,” co-authored by “M. A. Loodaricheh, N. Majmudar, A. Raja, and A. Salleb-Aouissi,
+Feb 2025 Dylan Dominguez defends Masters thesis
Dylan successfully defended his Masters thesis titled “Dynamic Approaches to Missing Data in Healthcare: Evaluating Ensemble Models, Feature Selection and Meta-Features”. Congrats Dylan on your degree!
+Mar 2025 Raja receives NSF grant for Doctoral Mentoring Consortium
This award provides travel support for selected student participants of the Doctoral Consortium (DC) at the 2025 International Joint Conference on Artificial Intelligence (IJCAI 2025), which will take place in Montreal, Canada, from August 16-22, 2025. IJCAI is a premier international conference in artificial intelligence (AI), bringing together researchers, industry professionals, and entrepreneurs. URL: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2514602&HistoricalAwards=false
+Dec 2024 DAIR Lab Featured in CUNY Research in Focus
Article on DAIR lab research in CUNY Research in Focus Vol 1, Issue 3 “The Year of Artificial Intelligence at CUNY“.
+ Nov 24 Novel ML Approach for Early Preclampsia Prediction to appear in BMC Pregnancy Childbirth Journal
Y. C. Lin, D. Mallia, A. O. Clark-Sevilla, A. Catto, A. Leshchenko*, Q. Yan, D. M. Haas, R. Wapner, I. Pe’er, A. Raja, A. Salleb-Aouissi. “A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort. BMC Pregnancy Childbirth 24, 853 (2024). https://doi.org/10.1186/s12884-024-06988-w”
