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Program Committee (PC) member for ICSME ’22 doctoral symposium
I am honored to be invited to serve on the Program Committee (PC) for the IEEE International Conference on Software Maintenance and Evolution (ICSME ’22) Doctoral Symposium! Please consider submitting! Full paper submissions are due July 8, 2022.
Received three-year NSF research grant on imperative Deep Learning program robustness and evolution as PI
I am pleased to announce that I, along with co-PI Anita Raja, 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 “Practical Analyses and Safe Transformations for Imperative Deep Learning Programs.” The total grant amount is $600K.
The project will facilitate the robustness and automated evolution and maintenance of large, industrial Deep Learning (DL) software systems that use imperative style programming. More information may be found on NSF’s website; stay tuned for more details and funded research opportunities!
Program Committee (PC) member for ESEC/FSE ’22 demonstrations
I am excited and honored to serve as a program committee member for the ESEC/FSE 2022 formal tool demonstrations track. Please consider submitting! The deadline is June 20.
Ad hoc reviewer for Journal of Systems and Software (JSS)
I am honored to be an ad hoc reviewer of the Journal of Systems and Software (JSS).
(more…)Ad hoc reviewer for ACM Transactions on Software Engineering and Methodology (TOSEM)
Honored to be an ad hoc reviewer of the ACM Transactions on Software Engineering and Methodology (TOSEM) journal.
Student mentor at ICSE ’22
Excited and honored to be listed as one of the mentors for the upcoming ICSE ’22 Student Mentoring Workshop (SMeW)!
“Migrating Imperative Deep Learning Programs to Graph Execution” guest lecture on YouTube
Thanks to Stevens Institute of Technology for posting my guest lecture on imperative Deep Learning program execution to YouTube!
Paper on hybridization challenges in imperative Deep Learning programs accepted at MSR ’22
Our paper entitled, “Challenges in migrating imperative Deep Learning programs to graph execution: An empirical study,” has been accepted to the main technical research track at the IEEE/ACM SIGSOFT 2022 International Conference on Mining Software Repositories (MSR)! Out of 138 papers, 45 were accepted, amounting to a 32.6% acceptance rate. The conference will take place later this year in Pittsburgh and is co-located with ICSE 2022.
A special congratulations to Tatiana for publishing her first full conference paper as first-author in the second year of her Ph.D. studies! Also congrats to Mehdi and Anita, and thank you for all of your hard work!
