Scholar
Muntasir Hoq
Google Scholar ID: tPVBJucAAAAJ
North Carolina State University
Citations & Impact
Citations
322
H-index
9
i10-index
9
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Developed a novel recommendation system with state-of-the-art accuracy using Deep Learning Networks and hierarchical clustering for CS1 students to recommend worked examples for their problems; showcased leadership skills by leading a research team of 4 MS and 4 undergraduate students at NCSU in extracting meaningful patterns from unstructured student programming data using clustering.
Research Experience
- Currently a Graduate Research Assistant at the 'AI-Assisted Learning Lab' at NCSU, working on student programming code analysis, effective representation of programming data, analyzing student behaviors while programming, and student modeling; previously an AI/Data Science Intern at Assurant's Advanced Data Analytics Team, developing a foundational model for generalized predictive analysis.
Education
- Ph.D. Candidate in Computer Science at North Carolina State University (NCSU), August 2021 - Present; M.S. in Computer Science from North Carolina State University (NCSU), May 2024; B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering and Technology (BUET), October 2018.
Background
- Research interests include Machine Learning, Artificial Intelligence, Educational Data Mining, and Computer Science Education. Focused on using AI to improve student learning experiences, especially in programming language learning.
Miscellany
- Avid traveler and sports enthusiast, believes that a well-rounded individual is a better problem solver, and strives to maintain a balance between professional and personal life; enjoys movies, music, and sports as methods of unwinding.
