Scholar
Muhammad Ali Gulzar
Google Scholar ID: k9M-nccAAAAJ
Assistant Professor, Virginia Tech
Citations & Impact
Citations
887
H-index
15
i10-index
21
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Collaborated with the University of Minnesota and UMass Amherst to receive a $1.1 million NSF award for enhancing the robustness and privacy of Federated Learning systems; multiple research works accepted to conferences such as MSR 2025, IPDPS, ICSE 2025; student Haddi co-authored the 2024 Web Almanac's Privacy Chapter; research received the ACM CCS 2024 Distinguished Artifact Award.
Research Experience
- Assistant Professor in the Computer Science Department at Virginia Tech; Amazon Scholar at Amazon Web Services; past work focused on interactive and automated debugging for Apache Spark, symbolic execution-based test generation for dataflow programs, and performance debugging in Apache Spark.
Education
- Ph.D. in Computer Science from the University of California, Los Angeles, where he was a Google Ph.D. Fellow from 2017 to 2020.
Background
- Assistant Professor in Computer Science. Research interests include improving developer productivity through automated debugging and testing, particularly in emerging domains such as data-intensive software (e.g., dataflow programs, ML/AI applications, and computational notebooks).
Miscellany
- Contact: gulzar@cs.vt.edu; Google Scholar, Github, LinkedIn
