Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, and Anita Raja. Speculative automated refactoring of imperative Deep Learning programs to graph execution. In International Conference on Automated Software Engineering, ASE ’25. IEEE/ACM, IEEE, November 2025. (245/1190; 20.6% acceptance rate). To appear.
Tatiana Castro Vélez. Towards Automated Evolution of Imperative Deep Learning Programs. PhD thesis, City University of New York (CUNY) Graduate Center, 365 5th Ave, New York, NY 10016, September 2025.
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 Artur Boronat and Gordon Fraser, editors, Fundamental Approaches to Software Engineering, FASE ’25, pages 89–100, Cham, May 2025. ETAPS, Springer Nature Switzerland. (11/31; 35% acceptance rate). EAPLS Distinguished Paper Award.
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, and Anita Raja. Towards safe automated refactoring of imperative Deep Learning programs to graph execution. In International Conference on Automated Software Engineering, ASE ’23, pages 1800–1802. IEEE, September 2023. NIER track. (25/70; 35.7% acceptance rate).
Tatiana Castro Vélez, Raffi Khatchadourian, Mehdi Bagherzadeh, and Anita Raja. Challenges in migrating imperative Deep Learning programs to graph execution: An empirical study. In International Conference on Mining Software Repositories, MSR ’22, pages 469–481, New York, NY, USA, May 2022. IEEE/ACM, ACM. (45/138; 32.6% acceptance rate).
Talk at 1ra Jornada de Inteligencia Artificial, UPR Río Piedras, San Juan, PR
Conference Talk at 28th IEE/ACM International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg
Invited Talk at University of Puerto Rico, Río Piedras Campus, San Juan, PR
Conference Talk at 19th International Conference on Mining Software Repositories (MSR), Pittsburgh, PA, US
Invited Talk at University of Puerto Rico, Río Piedras Campus, San Juan, PR
Workshop Poster Session at 2022 CRA-WP Grad Cohort for Women Workshop, New Orleans, LA, US