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Ph.D. Thesis Supervision:
Completed:
8. Soumadeep Saha, Topic: Domain Obedient Deep Learning, Ph. D. Thesis, Indian Statistical Institute, August, 2025.
7. Akshay Chaturvedi, Topic: On Adversarial Robustness of Deep Learning Systems, Ph. D. Thesis, Indian Statistical Institute, December, 2021.
6. Anabik Pal (Post-doc researcher, NIH, USA), Topic: MacPso: Machine assisted analysis of Psoriatic skin, Ph. D. Thesis, Indian Statistical Institute, October, 2019.
5. Abhisek Chakrabarty (Post-doc researcher, NICT, Japan), Topic: On Lemmatization and Morphological Tagging for Highly Inflected Indic Languages, Ph. D. Thesis, Indian Statistical Institute, April, 2019.
4. Apurbalal Senapati (Associate Professor, Central Institute of Technology, Kokrajhar, Assam), Topic: Pronominal Anaphora Resolution in Bengali, Ph. D. Thesis, Indian Statistical Institute, May, 2017.
3. Biswajit Halder (Associate Professor, Narula Instute of Technology, Kolkata, WB) Topic: Machine assisted authentication of security paper documents, Ph.D. Thesis, The University of Burdwan, WB, India; Sumitted in 2015, Degree awared in 2016.
2. Anirban Mukherjee (Associate Professor, RCCITT), Topic: Automatic Diagram Drawing based on Natural Language Text Understanding, Ph.D. Thesis, Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, Howrah, India, Submitted in 2013, Degree awarded in 2014.
1. Tanushyam Chattopadhyay (Scientist, TCS Innovation Lab), Topic: Some studies on Value Added Services for Connected TV, Ph.D. Thesis, Jadavpur University, Kolkata, India; Submitted in 2011, Degree awarded in 2012.
Ongoing:
9. Joy Mahapatra (SRF, ISI-Kolkata), Topic: Language Generation, to be submitted to Indian Statistical Institute, work started in 2018.
10. Saptarshi Saha (SRF, ISI-Kolkata), Topic: Causal AI, to be submitted to Indian Statistical Institute, work started in 2021.
11. Aditya Shankar Pal (SRF, ISI-Kolkata), Topic: explainable Deep Models for Medical Diagnostics, to be submitted to Indian Statistical Institute, work started in 2021.
12. Arkapal Panda (SRF, ISI-Kolkata), Topic: Calibration of deep models, to be submitted to Indian Statistical Institute, work started in 2022.
Teaching:
Dr. Garain has been regularly teaching various subjects for different ISI courses. Subjects taught by him in last ten years are listed below.
| Session |
Class |
Year,Semester |
Subject |
Students |
Lecture Hours |
| 2021-2022 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
12 |
50 |
| 2020-2021 |
M.Tech. (CS) |
2nd yr.,
2nd semester |
Natural Language Processing (NLP) |
05 |
50 |
| 2019-2020 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
28 |
50 |
| 2018-2019 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
29 |
50 |
| 2017-2018 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
9 |
50 |
| 2016-2017 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
12 |
50 |
| 2015-2016 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
18 |
50 |
| 2014-2015 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Natural Language Processing (NLP) |
13 |
50 |
| 2014-2015 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Compiler Construction |
13 |
25 |
| 2013-2014 |
M.Tech. (CS) |
2nd yr.,
2nd semester |
Natural Language Processing (NLP) |
10 |
50 |
| 2012-2013 |
M.Tech. (CS) |
2nd yr.,
2nd semester |
Natural Language Processing (NLP) |
09 |
50 |
| 2012-2013 |
M.Tech. (CS) |
2nd yr.,
1st semester |
Internet Technologies |
23 |
25 |
| 2010-2011 |
M.Tech. (CS) |
2nd yr.,
2nd semester |
Natural Language Processing (NLP) |
07 |
50 |
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