Assistant Professor of Computer Science
Education
- 2020, Doctoral Degree, Computer Science, University of Minnesota
- 2018, Master's Degree, Computer Science, University of Minnesota
- 2014, Master's Degree, Computer and Systems Engineering, Alexandria University
- 2010, Bachelor's Degree, Computer and Systems Engineering, Alexandria University
Biography
Ibrahim is an Assistant Professor in the Thomas Lord Department of Computer Science at University of Southern California. Before that, he was a Postdoctoral Associate at the MIT CSAIL Data Systems Group and an NSF/CRA Computing Innovation Fellow from 2020 to 2023. He completed his PhD in Computer Science from University of Minnesota, Twin Cities in January 2020. His PhD work received the University-wide Best Doctoral Dissertation Honorable Mention Award.
Research Summary
Ibrahim is interested in building the next generation of data management, processing and analysis systems using machine learning and quantum computing. His research focuses on deeply understanding fundamental techniques in machine learning, quantum computing, and systems design, resulting in entirely new designs, algorithms, and data structures for data-intensive systems and applications. He also broadly researches data management for machine learning systems, scalable knowledge base construction, big spatial data management and analysis, video analytics, and causal analysis.
Awards
- 2023 ACM SIGSPATIAL Outstanding Reviewer
- 2021 University of Minnesota Best Doctoral Dissertation Honorable Mention Award
- 2020 NSF/CRA Computing Innovation Fellowship
- 2019 University of Minnesota Doctoral Dissertation Fellowship
- 2019 ACM SIGSPATIAL First Place (Gold Medal) in ACM SIGSPATIAL Student Research Competition
- 2018 ACM SIGSPATIAL Best Paper Runner-Up
- 2016 University of Minnesota CS Academic Excellence Fellowship
- 2010 Alexandria University Best CS Bachelor’s Thesis
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