Amin Alipour, Ph.D.
Associate Professor of Computer Science
Research Areas:Computing and SoftwareVisual Computing and HCI
maalipou@central.uh.edu
713-743-7462
Office: PGH 574
路 PhD, Computer Science, Oregon State University
路 MS, Computer Science, Michigan Technological University
路 MS, Computer Engineering, Tarbiat Modares University
路 BS, Computer Engineering, Petroleum University of Technology
Dr. Alipour is an Associate Professor of Computer Science at the 91破解版, where he leads the Software Engineering Research Group. He has earned his Ph.D. in Computer Science from Oregon State University and hold an M.S. in Computer Science from Michigan Technological University. Hisresearch focuses on software analysis, the development of safe AI systems鈥攑articularly for software engineering鈥攁nd human-AI interaction. His papers have won several best paper awards in top venues.
Spiess, Claudio, David Gros, Kunal Suresh Pai, Michael Pradel, Md Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, and Toufique Ahmed. "Calibration and Correctness of Language Models for Code." In 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE), pp. 495-507. IEEE Computer Society, 2025.
Md Rafiqul Islam Rabin, Vincent J. Hellendoorn, and Mohammad Amin Alipour. 2021. Understanding neural code intelligence through program simplification. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021). Association for Computing Machinery, New York, NY, USA, 441鈥�452.
Rabin, Md Rafiqul Islam, Nghi DQ Bui, Ke Wang, Yijun Yu, Lingxiao Jiang, and Mohammad Amin Alipour. "On the generalizability of neural program models with respect to semantic-preserving program transformations." Information and Software Technology 135 (2021): 106552.
Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, and Mohammad Amin Alipour. 2024. Trust in Generative AI among Students: An exploratory study. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024). Association for Computing Machinery, New York, NY, USA, 67鈥�73.
Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, and Amin Alipour. 2024. Student-AI Interaction: A Case Study of CS1 students. In Proceedings of the 24th Koli Calling International Conference on Computing Education Research (Koli Calling '24). Association for Computing Machinery, New York, NY, USA, Article 13, 1鈥�13. https://doi.org/10.1145/3699538.3699567