Daniel Ogenrwot

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πŸ“ž: +1 (702)-485-7149

🏒: Science and Engineering Building (SEB), Room 4217, UNLV, Maryland Campus

πŸ“§: ogenrwot[at]unlv[dot]nevada[dot]edu

β€œAnd you will know the truth, and the truth will set you free.”
β€” John 8:32

Hello! I am a Graduate Assistant and PhD student in the Department of Computer Science at the University of Nevada, Las Vegas, where I work in the Software Evolution (EVOL) Lab led by Professor John Businge.

Previously, I served as an Assistant Lecturer at Gulu University and as a Research Fellow with the AirQo Project, collaborating with Prof. Engineer Bainomugisha. I hold an MSc in Computer Science from Makerere University, Uganda, where I was mentored by Dr. Joyce Nakatumba-Nabende and Prof. Michel R.V. Chaudron.

Research Interests

My research centers on empirical software engineering, including:

  • Clone detection
  • Patch integration
  • Program Comprehension
  • Mining software repositories
  • Software re-engineering
  • AI4SE & SE4AI
  • Air quality monitoring - Software design

For a complete list of my publications, please visit my profiles on Google Scholar or ORCID. Feel free to reach out if you’re interested in collaboration or learning more about my work!


News

Aug 3, 2025 πŸŽ‰ Excited to share that our paper, Structural and Connectivity Patterns in the Maven Central Software Dependency Network, has been accepted for presentation at the 34th International Conference on Software and Data Engineering (SEDE 2025)! πŸ“ The conference will take place in New Orleans,
Aug 3, 2025 πŸŽ‰ Our paper, Design and Evaluation of a Scalable Data Pipeline for AI-Driven Air Quality Monitoring in Low-Resource Settings, has been accepted for presentation at the 34th International Conference on Software and Data Engineering (SEDE 2025)! πŸ“ The conference will take place in New Orleans,
Jul 30, 2025 πŸŽ‰ Our paper: Refactoring-Aware Patch Integration Across Structurally Divergent Java Forks has been accepted in the Research Track of The 25th IEEE International Conference on Source Code Analysis and Manipulation (SCAM 2025), to be held in Auckland, New Zealand! πŸ‡³πŸ‡ΏπŸ“„βœ¨