Debarshi Nath

About Me

I am a doctoral research scholar in the Joint PhD programme at IIT Bombay-Monash Research Academy. I am affiliated to the Centre for Educational Technology at Indian Institute of Technology Bombay, India and Centre for Learning Analytics Monash (CoLAM) under Department of Human-Centred Computing, Faculty of Information Technology at Monash University, Australia. My supervisors are Ramkumar Rajendran and Dragan Gasevic.

My research interests are in Learning Analytics, Self-Regulated Learning, Multimodal Analytics in Self-Regulated Learning, and Machine Learning.

Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran, How do learners read the content in a multi-source reading-to-write task? - A multimodal study, in 26th International Conference on Artificial Intelligence in Education (AIED 2025), July 22-26, 2025.
Tongguang Li, Debarshi Nath, Yixin Cheng, Yizhou Fan, Xinyu Li, Mladen Raković, Hassan Khosravi, Zachari Swiecki, Yi-Shan Tsai and Dragan Gašević, Turning Real-time Analytics into Adaptive Scaffolds for Self-Regulated Learning using Generative Artificial Intelligence, in 15th International Conference on Learning Analytics and Knowledge (LAK 2025), March 3-7, 2025.
Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran, CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning, in 14th International Conference on Learning Analytics and Knowledge (LAK 2024), March 18-22, 2024
Debarshi Nath, Dragan Gasevic, Ramkumar Rajendran, A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks, in Doctoral Consortium of 16th International Conference on Educational Data Mining (EDM 2023), July 11-14, 2023
Spruha Satavlekar, Debarshi Nath, Rajashri Priyadarshini, Prajish Prasad, Daevesh Kumar Singh, Ramkumar Rajendran, Unravelling Learner Interaction Strategies in VeriSIM for Software Design Diagrams, in proceedings of 21st IEEE International Conference on Advanced Learning Technologies (ICALT 2021), July 12-15, 2021

Debarshi Nath, Anubhav, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu, A Comparative Study of Subject-Dependent and Subject-Independent Strategies for EEG-Based Emotion Recognition using LSTM Network, in proceedings of 4th International Conference on Compute and Data Analysis (ICCDA 2020), March 9-12, 2020, pp. 142-147
Anubhav, Debarshi Nath, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu, An Efficient Approach to EEG-Based Emotion Recognition using LSTM Network, in proceedings of 16th IEEE Colloquium on Signal Processing and its Applications (CSPA 2020), February 28-29, 2020, pp. 88-92