Sentiment Analysis of Bangla Language Using Deep Learning Approaches. - Muntasir Hoq; Promila Haque; Mohammed Nazim Uddin (COMS2, 2021)

Detecting ChatGPT-Generated Code in a CS1 Course. - Muntasir Hoq; Yang Shi 004; Juho Leinonen 001; Damilola Babalola; Collin F. Lynch; Bita Akram (LLM@AIED, 2023)

SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. - Muntasir Hoq; Sushanth Reddy Chilla; Melika Ahmadi Ranjbar; Peter Brusilovsky; Bita Akram (CIKM, 2023)

Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. - Muntasir Hoq; Peter Brusilovsky; Bita Akram (EDM, 2023)

Automated Identification of Relevant Worked Examples for Programming Problems. - Muntasir Hoq; Atharva Patil; Kamil Akhuseyinoglu; Bita Akram; Peter Brusilovsky (CSEDM@EDM, 2024)

Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. - Muntasir Hoq; Yang Shi 004; Juho Leinonen 001; Damilola Babalola; Collin F. Lynch; Thomas W. Price; Bita Akram (SIGCSE (1), 2024)

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. - Muntasir Hoq; Jessica Vandenberg; Bradford W. Mott; James C. Lester; Narges Norouzi; Bita Akram (SIGCSE (2), 2024)

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. - Rose Niousha; Muntasir Hoq; Bita Akram; Narges Norouzi (SIGCSE (2), 2024)

An Automated Approach to Recommending Relevant Worked Examples for Programming Problems. - Muntasir Hoq; Atharva Patil; Kamil Akhuseyinoglu; Peter Brusilovsky; Bita Akram (SIGCSE (1), 2025)

Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms. - Muntasir Hoq; Jessica Vandenberg; Shuyin Jiao; Seung Y. Lee; Bradford W. Mott; Narges Norouzi; James C. Lester; Bita Akram (CoRR, 2025)

Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. - Anurata Prabha Hridi; Muntasir Hoq; Zhikai Gao; Collin Lynch; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram (CoRR, 2025)

Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. - Muntasir Hoq; Ananya Rao; Reisha Jaishankar; Krish Piryani; Nithya Janapati; Jessica Vandenberg; Bradford W. Mott; Narges Norouzi; James C. Lester; Bita Akram (CoRR, 2025)