Vahid Alizadeh
DePaul University
Advancing software engineering through empirical research, intelligent refactoring technologies, and AI-enabled systems. Bridging the gap between software quality research and industrial practice.
I am an Associate Professor in the College of Computing and Digital Media (CDM) at DePaul University (Chicago, USA), where I have been on the faculty since 2020. I obtained my Ph.D. degree in Computer Science in 2020 from the University of Michigan (USA). I also hold M.Sc. and B.Sc. degrees in Electrical Engineering from the University of Tehran (Iran) and Iran University of Science and Technology (Iran), respectively.
I have received several prestigious awards including the 2020 Distinguished University of Michigan-Dearborn Honors Scholar, 2018/2019 Outstanding Graduate Research Assistant Award from the College of Engineering and Computer Science, and the 2018 Best Invention Award from the University of Michigan among over 500 inventions from three campuses.
I have actively published in top-tier venues (TSE, ASE, etc.) and hold one patent and multiple invention licenses. All refactoring technologies from my research are licensed through the UM Tech Transfer Office to industry partners and are currently deployed by organizations that impact thousands of programmers and architects worldwide.
Best Paper Award at BHAA 2026
Our paper on pharmacists' perspectives on AI technology for managing community pharmacy workflow disruptions received the Best Paper Award at the BHAA 2026 International Conference in Chicago.
Excellence in Teaching Award from DePaul University
Received DePaul University's prestigious Excellence in Teaching Award, recognizing exceptional dedication, skill in education, and positive impact on student learning outcomes.
Awarded $67,000 DePaul-RFUMS Grant for AI-Powered Community Pharmacy Research
Received $67,000 DePaul-RFUMS Grant for developing real-time anomaly detection using AI to optimize community pharmacy workflows, in collaboration with Drs. Rahman and Ansari.
Presentation Accepted at INFORMS Annual Meeting 2026
Our work on a data-driven digital twin with AI-powered anomaly detection for pharmacy workflow management was accepted for presentation at the INFORMS Annual Meeting 2026 in San Francisco.
Ph.D. in Computer Science
University of Michigan - USA
Dissertation: "A User-aware Intelligent Refactoring for Discrete and Continuous Software Integration"
M.Sc. in Electrical Engineering
University of Tehran - Iran
Thesis: "Face Recognition Using Thermal Image Processing"
B.Sc. in Electrical Engineering
Iran University of Science and Technology - Iran
Thesis: "Implementation and Designing Intelligent Traffic Light Control by Fuzzy Logic"
Internship
eBay (San Jose)
Investigating eBay pre/post-release code quality and CI/CD pipeline
Internship
eBay (San Jose)
Software quality analysis and Refactoring recommendation
Research Assistant
University of Michigan
Intelligent Software Engineering Lab
Research Assistant
University of Michigan
Wearable systems & Signal Processing Lab
Research Assistant
University of Tehran
Image Processing & Computer Vision Lab
Internship
Shiva Systems Pooya
Research and development: sensors and instrumentation
Excellence in Teaching Awards
DePaul University
2025
AI in Biomedical Discovery & Healthcare Grant
DePaul – RFUMS Grant Program
2024
CISE Community Research Infrastructure (CCRI) Grant
NSF
2022
Teaching & Learning Foundation Certificate
DePaul University‑Center for Teaching and Learning
2022
ACM SIGSOFT Distinguished Paper Award
MODELS Conference
2020
Distinguished Honors Scholar
U of M Dearborn
2020
Distinguished Student Research Award
CECS ‑ U of M Dearborn
2019