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Received three-year NSF research grant on combating technical debt in Machine Learning systems as PI

I am pleased to announce that I have received a three-year standard research grant from the National Science Foundation (NSF) Software & Hardware Foundations (SHF) program as principal investigator (PI) for a project entitled “Knowledge, Methodologies, and Tool-support for Combating Technical Debt in Machine Learning Systems.” The total grant amount is ~$600K.

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EAPLS distinguished paper at FASE ’25

Our upcoming International Conference on Fundamental Approaches to Software Engineering (FASE ’25) paper, entitled “Hybridize Functions: A Tool For Automatically Refactoring Imperative Deep Learning Programs to Graph Execution,” has been selected as an European Association for Programming Languages and Systems (EAPLS) distinguished paper!

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Program committee (PC) member for SPLASH ’25 Onward!

I have been invited to participate as a program committee (PC) member of Onward! ’25, to be held as part of the ACM SIGPLAN conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH ’25). The submission deadline is April 24. Please consider submitting!

Program committee (PC) member for Internetware ’25

Excited and honored to be invited to the program committee (PC) for the research track of the 16th International Conference on Internetware (Internetware ’25)! The conference will take place in Trondheim, Norway between June 20 and June 22, 2025 and will be co-located with the 2025 ACM International Conference on the Foundations of Software Engineering (FSE ’25). Please consider submitting!

Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25

Our paper entitled, “Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution,” has been accepted at the 2025 International Conference on Fundamental Approaches to Software Engineering (FASE) as a formal tool demonstration! Out of 31 papers (including 4 tool papers), 11 (including 1 tool paper) were accepted, amounting to a 35% acceptance rate. Congrats to Tatiana, Mehdi, Nan, and Anita!

Reviewer for Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE Fellowship

I am honored to be invited as a reviewer for the Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE fellowship program. JSPS is analogous to the NSF in the United States. The JSPS BRIDGE fellowship enables alumni of past JSPS programs to revisit host researchers in Japan.

Program committee (PC) member for ICSE ’26

Excited and honored to be invited to the program committee (PC) for the ICSE ’26 research track! The conference will take place in Rio de Janeiro, Brazil Apr 2026. Please consider submitting!

Computer Science Professor Awarded NSF Grant to Improve Machine Learning Systems | CUNY Graduate Center

A story from the CUNY Graduate Center news!

Professor Raffi Khatchadourian receives nearly $600K to address technical debt, which affects machine learning systems found in self-driving cars, medicine, and other fields.

Source: Computer Science Professor Awarded NSF Grant to Improve Machine Learning Systems | CUNY Graduate Center

Invited to participate on NSF panel

I am very honored to be invited to serve on a 2024 National Science Foundation (NSF) panel.

Best paper award nomination at AISafety ’24

I am happy to announce that our paper entitled, “ReLESS: A framework for assessing safety in Deep Learning systems,” has been nominated for a best paper award at AI Safety ’24! Congrats to Nan and Anita. It’s Nan’s first workshop paper!

Paper on reliably refactoring Deep Learning systems accepted at AISafety ’24

Our paper on reliability refactoring Deep Learning systems has been accepted to the 2024 AISafety workshop at the International Joint Conference on Artificial Intelligence (IJCAI ’24). Congratulations to Nan and Anita!