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Author Archives: Anita Raja
+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!
+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”
+Aug 2024 Raja and Kim co-chair IJCAI 2024 Doctoral Consortium in Jeju Island, S. Korea
IJCAI 2024 DC Program https://ijcai24.org/doctoral-consortium-track/
+Jul 2024 PhD student Nan Jia is first author on BPA nominated paper at IJCAI 2024 AI Safety workshop.
N. Jia, A. Raja, R. Khatchadourian, “ReLESS: A Framework for Assessing Safety in Deep Learning Systems“, Workshop on AI Safety at The International Joint Conference in Artificial Intelligence (IJCAI 2024), Jeju, S. Korea, August 2024. (Nominated for Best Workshop Paper award)
+Jul 2024 DAIR CS undergrad Justin Gbadamassi co-authors IJCAI 2024 workshop paper on AI for Critical Infrastructure
GC Masters student Neh Majmudar and Hunter CS undergrad were first and second authors on an IJCAI 24 workshop paper on predicting and preventing water pipe breakage in urban environments
N. Majmudar, J. Gbadamassi*, A. Raja , “U^2RPSA: Leveraging Unsupervised Learning for Water Main Decision Support“, Workshop on AI for Critical Infrastructure at The International Joint Conference in Artificial Intelligence (IJCAI 2024), Jeju, S. Korea, August 2024.
+ July 2024 DAIR students co-author IJCAI 24 workshop on AI for Critical Infrastructure
N. Majmudar, J. Gbadamassi*, A. Raja , “U^2RPSA: Leveraging Unsupervised Learning for Water Main Decision Support“, Workshop on AI for Critical Infrastructure at The International Joint Conference in Artificial Intelligence (IJCAI 2024), Jeju, S. Korea, August 2024.
+ June 2024 DAIR Lab High school Intern Ayan Kohli admitted to Cornell University. Congrats!
Ayan Kohli who has been a summer high school intern in the DAIR lab since 2022 will join Cornell Computer Science as a freshman in Fall 2024!
