Amin Alipour

Amin Alipour serves as a Professor in the Computer Science department at the University of Houston, where he leads research at the intersection of software engineering and artificial intelligence. His professional profile spans multiple prestigious academic platforms including ASE, ESEC/FSE, and ISSTA conferences, with continuous contributions from 2014 through projected 2025 publications.

Dr. Alipour's research program centers on software testing and program analysis, with particular expertise in mutation testing and neural code intelligence. His recent work has pivoted toward examining security vulnerabilities in large language models for code, including trojan attacks and model poisoning techniques. His scholarly contributions demonstrate how program simplification techniques can enhance our understanding of neural code intelligence models, while his work on software fuzzing has improved input generation methodologies for vulnerability detection.

Analysis of Dr. Alipour's publication history reveals a strategic evolution from foundational software testing techniques toward cutting-edge AI-assisted software engineering. His early work focused on mutation testing and fault injection in IoT systems, while his most recent publications investigate the security implications of AI-generated code and methods for improving model calibration. This trajectory reflects the broader shift in software engineering research toward understanding and securing AI-assisted development environments.

Dr. Alipour maintains active service to the academic community through multiple leadership roles, including Workshops Co-Chair for SPLASH 2023-2024, committee membership across numerous top-tier conferences, and session chair positions for specialized workshops on mutation testing and neural program models. His GitHub presence (alipourm) with over 100 repositories demonstrates practical engagement with software testing tools and educational resources.