Scalable classification of organisms into a taxonomy using hierarchical supervised learners. - Gihad N. Sohsah; Ali Reza Ibrahimzada; Huzeyfe Ayaz; Ali Cakmak 001 (J. Bioinform. Comput. Biol., 2020)

Perfect is the enemy of test oracle. - Ali Reza Ibrahimzada; Yigit Varli; Dilara Tekinoglu; Reyhaneh Jabbarvand (ESEC/SIGSOFT FSE, 2022)

Understanding the Effectiveness of Large Language Models in Code Translation. - Rangeet Pan; Ali Reza Ibrahimzada; Rahul Krishna; Divya Sankar; Lambert Pouguem Wassi; Michele Merler; Boris Sobolev; Raju Pavuluri; Saurabh Sinha; Reyhaneh Jabbarvand (CoRR, 2023)

Automated Bug Generation in the era of Large Language Models. - Ali Reza Ibrahimzada; Yang Chen 059; Ryan Rong; Reyhaneh Jabbarvand (CoRR, 2023)

Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models. - Ali Cakmak 001; Huzeyfe Ayaz; Soykan Arikan; Ali Reza Ibrahimzada; Seyda Demirkol; Dilara Sönmez; Mehmet T. Hakan; Saime T. Sürmen; Cem Horozoglu; Mehmet B. Dogan; Özlem Küçükhüseyin; Canan Cacina; et al. (Medical Biol. Eng. Comput., 2023)

Program Decomposition and Translation with Static Analysis. - Ali Reza Ibrahimzada (ICSE Companion, 2024)

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. - Rangeet Pan; Ali Reza Ibrahimzada; Rahul Krishna; Divya Sankar; Lambert Pouguem Wassi; Michele Merler; Boris Sobolev; Raju Pavuluri; Saurabh Sinha; Reyhaneh Jabbarvand (ICSE, 2024)

Repository-Level Compositional Code Translation and Validation. - Ali Reza Ibrahimzada; Kaiyao Ke; Mrigank Pawagi; Muhammad Salman Abid; Rangeet Pan; Saurabh Sinha; Reyhaneh Jabbarvand (CoRR, 2024)

AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation. - Ali Reza Ibrahimzada; Kaiyao Ke; Mrigank Pawagi; Muhammad Salman Abid; Rangeet Pan; Saurabh Sinha; Reyhaneh Jabbarvand (Proc. ACM Softw. Eng., 2025)