I'm Kunal Chakma!

Academician and a Researcher

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Profile

About me

I am an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology, Agartala. My broad area of research interest includes all aspects of natural language processing, information retrieval, social media analytics, the application of machine learning and deep learning techniques, and data science. I am presently working on areas such as large language models (LLM) and retrieval-augmented generation (RAG). Students interested in working with me in similar areas are most welcome to join my research endeavour.

Details

Name:
Kunal Chakma
Date of joining:
May 15, 2004
Location:
Agartala, Tripura, India

Experience:

Teaching since 15.05.2004

Education:

  • Ph.D. in Computer Science and Engineeing from National Institute of Technology Agartala.
  • M.Tech. in Computer Science and Engineering from National Institute of Technology Agartala.
  • B.Tech. in Computer Science and Engineering from National Institute of Technology Jalandhar.

Awards and Distinctions:

  • Gold Medallist (M.Tech.)

Research Profile:

Professional Memberships:

  • Association for Computing Machinery (ACM) Membership No.: 9695269

Specialized Certifications and Courses:

Publications

Journal papers

2024

  • Kunal Chakma, Anupam Jamatia, Dwijen Rudrapal Identification and summarisation of events from Twitter using clustering algorithms and deep neural network in Natural Language Processing, Cabridge University Press, pp. 1-29, DOI:http://dx.doi.org/10.1017/nlp.2024.47
  • Binnu Paul, Dwijen Rudrapal, Kunal Chakma, Anupam Jamatia, Multimodal Machine Translation Approaches for Indian Languages: A Comprehensive Survey in Journal of Universal Computer Science (JUCS) 30(5),pp. 694-717, DOI:https://doi.org/10.3897/jucs.109227
  • V. Rao, Kunal Chakma, Anupam Jamatia and Dwijen Rudrapal, An innovative Telugu text summarization framework using the pointer network and optimized attention layer in Multimedia Tools and Applications, Springer, 2024, pp. 1-26, DOI: https://doi.org/10.1007/s11042-024-19187-8

2020

  • Somnath Benarjee, Monojit Choudhury, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Sivaji Bandyopadhyay and Paolo Rosso MSIR@FIRE: A Comprehensive Report from 2013 to 2016 in SN Computer Science, Springer, Vol. 23, No. 3, 2020, pp. 751–763, DOI: https://doi.org/10.1007/s42979-019-0058-0

2019

  • Kunal Chakma, Amitava Das and Swapan Debbarma, Deep Semantic Role Labeling for Tweets using 5W1H: Who, What, When, Where, Why and How in Computación y Sistemas, Vol. 23, No. 3, 2019, pp. 751–763, DOI: 10.13053/CyS-23-3-3253, ISSN 2007-9737

2018

  • Kunal Chakma and Amitava Das, A 5W1H Based Annotation Scheme for Semantic Role Labeling of English Tweets in Computación y Sistemas, Vol. 22, No. 3, 2018, pp. 747–755, DOI: 10.13053/CyS-22-3-3016, ISSN 2007-9737

2016

  • Kunal Chakma and Amitava Das, CMIR:A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets in 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016) April 3–9, 2016 , Konya, Turkey, published in Computación y Sistemas, Vol. 20, No. 3, 2016, pp. 425–434, DOI: 10.13053/CyS-20-3-2459, ISSN 2007-9737

2015

  • Chandrika Chatterjee and Kunal Chakma, A Comparison between Sentiment Analysis of Student Feedback at Sentence Level and at Token Level in International Journal of Computer Science and Network (IJCSN), Volume 4, Issue 3, June 2015, Pages 482 - 486, ISSN (Online): 2277-5420

Conference papers

2023

  • Aparajita Sinha and Kunal Chakma A Comparative Analysis of Sentiment Analysis and Emotion Detection Problems on Texts International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2022: Intelligent Data Engineering and Analytics pp 465-475.Springer. DOI: https://doi.org/10.1007/978-981-19-7524-0_41.
  • Aparajita Sinha and Kunal Chakma A Comparative Analysis of Machine Learning Based Sentiment Analysis,ISAI 2022. Communications in Computer and Information Science, vol 1695. Springer pp 123–132. DOI: https://doi.org/10.1007/978-3-031-22485-0_12.

2020

  • Kunal Chakma, Amitava Das, Swapan Debbarma, Summarization of Twitter Events with Deep Neural Network Pre-trained Models SIMBIG 2020: 7th International Conference on Information Management and Big Data, October 1--3, 2020, Lima, Peru.Springer CCIS proceedings volume 1410. Pages 45-62. DOI: https://doi.org/10.1007/978-3-030-76228-5_4.
  • Kunal Chakma, Steve Durairaj Swamy, Amitava Das and Swapan Debbarma, 5W1H-based Semantic Segmentation of Tweets for Event Detection using BERT, in the 2nd International Conference on Machine Learning, Image Processing, Network Security and Data sciences (MIND-2020), 23 – 24 April 2020 at NIT Silchar. Springer CCIS proceedings volume 1240. Pages 57-72. DOI: https://doi.org/10.1007/978-981-15-6315-7_5.

2018

  • Kunal Chakma, Rohit Chakraborty and Shubhanshu Kumar Singh, Finding Correlation Between Twitter Influence Metrics and Centrality Measures for Detection of Influential Users in the 5th International Conference on Computational Intelligence in Data Mining (ICCIDM - 2018) December 15-16, 2018, Burla, Odisha, India. Published in Computational Intelligence in Data Mining, Springer, Vol: 990, pages:51-62 DOI: https://doi.org/10.1007/978-981-13-8676-3_5

2016

  • Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury, Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016, pp-94-99.

  • Priyadarshini Lamabam and Kunal Chakma, A Language Identification System for Code-Mixed English-Manipuri Social Media Text in Proceedings of 2nd IEEE International Conference on Engineering and Technology (ICETECH), 17th & 18th March 2016, Coimbatore, TN, India. pg 79-83 DOI: 10.1109/ICETECH.2016.7569216,Electronic ISBN: 978-1-4673-9916-6.

  • Bidipto Chakraborty, Kunal Chakma and Anjan Mukherjee, A Density-Based Clustering Algorithm and Experiments on Student Dataset with Noises using Rough Set Theory in Proceedings of 2nd IEEE International Conference on Engineering and Technology (ICETECH), 17th & 18th March 2016, Coimbatore, TN, India. pg431-436 DOI: 10.1109/ICETECH.2016.7569290,Electronic ISBN: 978-1-4673-9916-6.

2015

  • Dwijen Rudrapal, Anupam Jamatia, Kunal Chakma, Amitava Das, Björn Gambäck, Sentence Boundary Detection for Social Media Text , In the Proceedings 12th International Conference on Natural Language Processing (ICON-2015). IIITM-K, Trivandrum, India, 11-14 December 2015 pp.254-260.
  • Royal Sequiera, Monojit Choudhury,Parth Gupta, Paolo Rosso,Shubham Kumar,Somnath Banerjee, Sudip Kumar Naskar, Sivaji Bandyopadhyay,Gokul Chittaranjan,Amitava Das,Kunal Chakma, Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval in: Notebook Papers of FIRE 2015 in 7th meeting of Forum for Information Retrieval Evaluation 2015 ,4-6 December 2015 ,page 19-25 ,Vol.1587in CEUR Workshop Proceedings, published on 5th May 2016, ISSN:1613-0073.

2014

  • K. Chakma, Named Entity Detection from Tweets on Cricket in Proceedings of the 1st Workshop on Language Technologies for Indian Social Media (SOCIAL-INDIA), pages 9–15, Goa, India, 21st December 2014. Eleventh International Conference on Natural Language Processing (ICON-2014), Goa, India; 12/2014.
  • K. Chakma, Amitava Das, Revisiting Automatic Transliteration Problem for Code-Mixed Romanized Indian Social Media Text , in Proceedings of the 1st Workshop on Language Technologies for Indian Social Media (SOCIAL-INDIA), pages 42–48, Goa, India, 21st December 2014. Eleventh International Conference on Natural Language Processing (ICON-2014), At Goa, India.
  • Muny Tamut, Kunal Chakma, A Hybrid Approach to Synchronization in Real-Time Multiprocessor Systems in 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies - ICACCCT, May 8-10, 2014, Ramanathapuram, Tamilnadu, India, Pages 1153-1157, Print ISBN: 978-1-4799-3913-8, DOI:10.1109/ICACCCT.2014.7019278.

  • Pumima Singhal, Amit Kumar, Upendra Ghintala, Kunal Chakma, Extended Level Real-Time Scheduling Framework Using a Generalized Non-Real Time Platform in Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference,24-27 Sept. 2014, Pages 1279 - 1284, Print ISBN: 978-1-4799-3078-4, DOI:10.1109/ICACCI.2014.6968278.

2013

  • Nirmalya Kar, Atanu Majumder, Ashim Saha, Anupam Jamatia, Kunal Chakma and M.C. Pal, An improved data security using DNA sequencing in MobileHealth '13 Proceedings of the 3rd ACM MobiHoc Workshop on Pervasive wireless healthcare Pages 13-18, July 29, 2013, Bangalore, India.

  • Nirmalya Kar, Sharmistha Roy, Ashim Saha, Kunal Chakma and Anupam Jamatia, A Biometric Based Design Pattern for Implementation of a Security-Conscious E-Voting System using Cryptographic Protocols , Yogesh Chabba (Ed.): Second International Conference on Advances in Information Technology and Mobile Communication – AIM 2012,AIM 2012, pp. 78-85, 2012. Communications in Computer and Information Science (CCIS) Vol-296 © Springer-Verlag Berlin Heidelberg2012(ISBN:978-3-642-20572-9).

2011

  • D.Rudrapal, A.Pandey, S.Das and K.Chakma, Gait as a Biometric for Human Recognition by Histogram of Silhouette Image in International Conference on Sunrise Technologies 13th-15th January 2011, Dhule, Maharashtra, India.

Thesis Supervision

Current Ph.D scholars

  • Enrolled in 2022 :  Topic: Telegu text summarization   Scholar: Mr. V. Rao M.(Part Time)
  • Enrolled in 2022 :  Topic: Bengali Semantic Role Labelling   Scholar:  Mrs. Sima Dutta. (Part Time)
  • Enrolled in 2022 :  Topic: Multimodal Machine Translation   Scholar:  Mr. Binnu Paul. (Part Time)
  • Enrolled in 2022 :  Topic: Text Retrieval   Scholar:  Miss Aparajita Sinha. (Part Time)

Master of Technology (M.Tech.)

  • 2024 :  Diffusing Multimodal Disinformation   by Arnab Basak (22PCS003).
  • 2023 :  A Normalized Approach for Back-transliteration of Bengali Texts   by Dibyendu Patra (21PCS001).
  • 2022 :  A Joint Learning approach for Sentiment and Emotion   by Aparajita Sinha (20PCS018).
  • 2022 :  A Study of Few-Shot Learning Techniques Applied on Sentiment Analysis   by Shubhendu Bhaskar (20PCS004).
  • 2021 :  Succinct Representation of Privacy Policy Documents   by Ramprakash Pandey (19PCS013).
  • 2021 :  Smart Health Prediction using Data Mining   by Siddharth Kumar (19PCS001).
  • 2020 :  Generating Bilingual Word Embeddings   by Albina Minz (18PCS004).
  • 2020 :  Semantic Role Labeling on Bengali Language   by Alika Nath Sharma (18PCS009).
  • 2019 :  Sarcasm Detection on Twitter   by Jai Prakash Solanki (17PCS003).
  • 2019 :  Measuring Similarity between Question pair in Online Forums   by Pramod Kumar Rai (17PCS009).
  • 2017 :  A Lemmatizer for Hindi Language in Devanagari Script  by Suman Chaudhary (15PCS003).
  • 2017 :  Topic Modeling on English SMS by Banhi Sanyal (15PCS006).
  • 2016 :  A Density-Based Clustering Algorithm, Experiments, and Tool for Spatio-Temporal Datasets with Noises using Rough Set Theory by Bidipto Chakraborty (14PCS005).
  • 2016 :  A Language Identification System For Code-Mixed English-Manipuri Social Media Text  by Priyadarshini Lamabam (14PCS006).
  • 2015 : Student Feedback Analysis System using Sentiment Analysis by Chandrika Chatterjee (13PCS004).
  • 2014 :  A Hybrid Approach to Synchronization in Real-Time Systems by Muny Tamut (12PCS006).

Master of Computer Applications (MCA)

  • 2024 :  Optimizing Timetables with Meta-heuristic Genetic Algorithms, CSE-NITA by Rashmi Sharma (21MCA016)
  • 2024 :  NITA Questiob Bank by Anuradha Roy (21MCA014)
  • 2023 :  Faculty Activity System for CSE Department by Archana Dash (20MCA003)
  • 2021 :  FRODO: A framework for DevOps by Nikita (18MCA013)
  • 2020 :  Functional Validation of Enterprise Products Using Rest Automation by Puja (17MCA022)
  • 2020 :  Web based application for a Hospital by Shubham Kumar Jha (17MCA018)
  • 2014 :  Linux Kernel Instrumentation by Sneha Priya (11MCA007)

Bachelor of Technology (B.Tech.)

  • 2023 :  Implementation of Data Extraction, Transformation and Loading Process for Data Engineering   by Ashwin Shankar;(19UCS108).
  • 2023 :  4G Distributed Unit   by Anshuman Kumar;(19UCS110).
  • 2023 :  Full Stack Development on Monitoring System   by Gokulnath S R;(19UCS128).
  • 2023 :  Apply UNI   by T. Uttam Kumar;(19UCS127).
  • 2023 :  Incident Creation Using Virtual Agent in ServiceNow   by Rishi Raj;(19UCS129).
  • 2022 :  Online Descriptive Examination Evaluation System  by Sangamesh;(18UCS084), Pawan Kumar Mandapati (18UCS075) and Gourav Kumar Singh (18UCS088).
  • 2022 :  NIRF Data Analysis and Rank prediction system  by Soumik Das;(18UCS011), Pulak Majumdar (18UCS012), Vishal Bania (18UCS013) and Dipayan Das (18UCS014).
  • 2021 :  Twitter User Gender Identification  by Ankit Wanjari (17UCS034), Diksant Paul (17UCS042) and Akash Pawan Gupta (17UCS085).
  • 2020 :  Faux investigator: fake news detection on liar-plus dataset  by Abhay Kumar (16UCS083), Indranil Biswas (16UCS020), Rubin Roy (16UCS072) and Sreekanth T.M. (16UCS042).
  • 2019 :  Identification of Patterns of Influencial Users on Twitter  by Richa Mishra (15UCS182), Tanmayee Debbarma  (15UCS014) and Suman Debbarma  (15UCS062).
  • 2018 :  Finding Influencers in Twitter  by Rohit Chakraborty (14UCS153), Shubhanshu Kumar Singh (14UCS156), Debargha Bhattacharjee (14UCS159) and Abhishek Gupta (14UCS152).
  • 2018 :  Ranking of Tweets Based on Semantic Analysis of Twitter Hashtags by Desai Parth Shashikant(14UCS037), Gadiyamula Tejaswi(14UCS036), Tusharika DebBarma(14UCS047), Twisa DebBarma(14UCS023).
  • 2017 :  Consiliarious - Recommendation System by Aditya Kumar (13UCS081), Udit Yadav (13UCS073), Pingal Dixit (13UCS043) and Devdutt Kumar (13UCS019).
  • 2017 :  Syllabified Back-Transliteration (English-Devanagari) by Abhinit Kumar Jha(13UCS078), Shubham Kabra(13UCS058), Abhishek Balwada(13UCS079) and Sanjay Kumar Patel(13UCS052).
  • 2016 : Predictive Analysis Of Student’s Performance Using Machine Learning by Akshay Gupta (12UCS002), Ankit Raonka (12UCS007), Mohsin Mohammad (12UCS037) and Shivam Dubey (12UCS064).
  • 2015 : Predictive Decision Making Machine by Ashutosh Awasthi (11UCS014), Asutosh Kumar Singh (11UCS015), Parnashree Kundu (11UCS036), Saikat Somiran (11UCS045), Sangjukta Das (11UCS049) and Vikas Shakya (11UCS072).

What I'm Teaching

I am currently teaching the following subjects

1. ODD SEMESTER
  1. Machine Learning (UCS07B02)
  2. Data Mining (PCS21E11)
  3. Data Science Foundation Lab (PCS21P02)
2. EVEN SEMESTER
  1. Machine Learning (PCS22B02)
  2. Deep Learning (PCS22E01)
  3. Machine Learning Lab (PCS22P01/P04)
  4. Data Science Implementation Lab (PCS22P02 )

Contact ME

Where can I be found?

Address:

Room 227, CSE Building,
NIT Agartala, Jirania-799046

Email:
kchakma[dot]cse@nita[dot]ac[dot]in
Call ME:

Phone number only on request

Social

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