Personal information

Activities

Education and qualifications (4)

Monash University: Melbourne, Victoria, AU

2021-01-04 to present | PhD (Human-Centred Computing)
Education
Source: Self-asserted source
Debarshi Nath

Indian Institute of Technology Bombay: Mumbai, Maharashtra(MH), IN

2021-01-04 to present | PhD (Educational Technology)
Education
Source: Self-asserted source
Debarshi Nath

Delhi Technological University: Delhi, Delhi, IN

2018-08-01 to 2020-06-30 | M.Tech (Computer Science and Engineering)
Education
Source: Self-asserted source
Debarshi Nath

National Institute of Technology Silchar: Silchar, Assam, IN

2013-07-29 to 2017-05-30 | B.Tech (Computer Science and Engineering)
Education
Source: Self-asserted source
Debarshi Nath

Works (5)

Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence

2025-03-03 | Conference paper
Contributors: Tongguang Li; Debarshi Nath; Yixin Cheng; Yizhou Fan; Xinyu Li; Mladen Raković; Hassan Khosravi; Zachari Swiecki; Yi-Shan Tsai; Dragan Gašević
Source: check_circle
Crossref

CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning

2024-03-18 | Conference paper
Contributors: Debarshi Nath; Dragan Gasevic; Yizhou Fan; Ramkumar Rajendran
Source: check_circle
Crossref

Unraveling learner interaction strategies in VeriSIM for software design diagrams

Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021
2021 | Conference paper
EID:

2-s2.0-85114851216

Contributors: Satavlekar, S.; Nath, D.; Priyadarshini, R.; Prasad, P.; Singh, D.K.; Rajendran, R.
Source: Self-asserted source
Debarshi Nath via Scopus - Elsevier

A Comparative Study of Subject-Dependent and Subject-Independent Strategies for EEG-Based Emotion Recognition using LSTM Network

ACM International Conference Proceeding Series
2020 | Conference paper
EID:

2-s2.0-85098198552

Contributors: Nath, D.; Anubhav; Singh, M.; Sethia, D.; Kalra, D.; Indu, S.
Source: Self-asserted source
Debarshi Nath via Scopus - Elsevier

An Efficient Approach to EEG-Based Emotion Recognition using LSTM Network

Proceedings - 2020 16th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2020
2020 | Conference paper
EID:

2-s2.0-85084299708

Contributors: Anubhav; Nath, D.; Singh, M.; Sethia, D.; Kalra, D.; Indu, S.
Source: Self-asserted source
Debarshi Nath via Scopus - Elsevier

Peer review (2 reviews for 1 publication/grant)

Review activity for Journal of computer assisted learning. (2)