Mehmet Arif Demirtaş

Mehmet Arif Demirtaş is a researcher in computing education and machine learning, affiliated with the University of Illinois Urbana-Champaign. His work focuses on programming plans, student modeling, and code analysis.

• Recent publications address pedagogy in CS1, autograding, and domain-specific code pattern recognition.
• His collaborations span institutions like University of Pittsburgh, University of Utah, and Istanbul Technical University's BASIRA Lab.

Research Interests: Decomposition skills in programming, learning curve analysis, neural networks for code modeling, and domain adaptation in GNNs.

• Key subfields include intelligent tutoring systems, predictive uncertainty, and cognitive connectomics.