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Slides for our ASE ’23 NIER paper on our ongoing work towards automated refactoring of imperative Deep Learning programs to graph execution are now available. The talk will take place tomorrow at 1:54 pm CEST.(more…)
I am pleased to announce that I have been asked to review for the Empirical Software Engineering (EMSE) international journal!(more…)
Between August 10 to 24, 2022, I visited the Programming Research Group at the Department of Mathematical and Computing Science of the Tokyo Institute of Technology. I gave a seminar talk and discussed current research with the group members. A JSPS BRIDGE fellowship supported this visit, planned initially two years ago. The trip was postponed due to COVID-19 (three times, in fact), but I was happy to have the opportunity to visit Professor Masuhara and his lab.(more…)
Fully-funded Ph.D. student position(s) in analysis and transformations of Deep Learning programs in New York City
I am currently seeking (potentially multiple, fully-funded) Ph.D. students interested in programming languages and software engineering research for an NSF-funded project on analysis and transformations for (imperative) Deep Learning (DL) programs. The project—based in the heart of New York City—focuses on enhancing the robustness, increasing run-time performance, and facilitating the long-lived evolution of DL systems, particularly, large, industrial DL systems. For more information on the project, please see the project announcement.
Potential research topics explored during the project may include (static/dynamic) program analysis and transformation (e.g., automated refactoring) and empirical software engineering. Successful candidates will be expected to work on projects that generally yield open-source developer tool research prototypes, plug-ins to popular IDEs, build systems, or static analyzers. Applicants may find additional information on the PI’s web page. They should also apply to the City University of New York (CUNY) Graduate Center (GC) Ph.D. program in Computer Science (deadline January 15) following a discussion with the PI.
Please see below for additional details on applying. Again, the Ph.D. program deadline is January 15.(more…)
Honored to be an ad hoc reviewer of the ACM Transactions on Software Engineering and Methodology (TOSEM) journal.
Slides for our ICSE ’22 formal tool demonstration on rejuvenating feature logging statement levels iva Git histories and Degree of Interest (DOI) are now available. The live demo will take place tomorrow at 11:45 am EST.