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Research Areas
Biography and Research Information
OverviewAI-generated summary
Saffeer Khan's research focuses on applying educational data mining techniques to predict student performance in computer science capstone courses. He also investigates the techno-economic feasibility of utilizing hydrogen for electrifying coastal maritime transport. Khan has co-authored two publications and has a citation count of three, with an h-index of one. His collaborators include Mohamed Ibrahim from Arkansas Tech University, with whom he shares one publication. Khan remains an active researcher, with his most recent publication in 2024.
Metrics
- h-index: 1
- Publications: 2
- Citations: 3
Selected Publications
-
Performance Prediction of Computer Science Students in Capstone Software Engineering Course Through Educational Data Mining (2024)
Collaboration Network
Top Collaborators
Mohamed Ibrahim
Arkansas Tech University
1 shared publication
In database
- Performance Prediction of Computer Science Students in Capstone Software Engineering Course Through Educational Data Mining
Syed Haider
Arkansas Tech University (US)
1 shared publication
- Performance Prediction of Computer Science Students in Capstone Software Engineering Course Through Educational Data Mining
Bertrand Pages
École Polytechnique (FR)
1 shared publication
- Techno-Economic Analysis of Hydrogen for Coastal Maritime Transport Electrification
Himanshu R Chavan
University of North Carolina at Charlotte (US)
1 shared publication
- Techno-Economic Analysis of Hydrogen for Coastal Maritime Transport Electrification
Jeffrey Knollmeyer
École Polytechnique (FR)
1 shared publication
- Techno-Economic Analysis of Hydrogen for Coastal Maritime Transport Electrification
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