Details
- Name
- Kunal Chakma
- Date of joining
- May 15, 2004
- Location
- Agartala, Tripura, India
- Experience
- Joined NIT Agartala on 15 May 2004; teaching and research experience since 2004.
Dr. Kunal Chakma
Associate Professor
Department of Computer Science & Engineering | NIT Agartala
NLPInformation RetrievalGenerative AILLMsRAG
- Journal papers
- 14
- Conference papers
- 24
- Ph.D. scholars
- 5
- Years teaching
- 22+
Ph.D. Admissions 2026–27 — Full-time positions may be available. Interested candidates should check the latest NIT Agartala Ph.D. admission notice and contact me by email.
About
Academic profile
Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Agartala. Research interests span natural language processing, information retrieval, social media analytics, and data science. Currently focused on Generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Gold Medallist (M.Tech.) and ACM member. Teaching and mentoring since 2004, with active Ph.D. supervision in NLP, text summarization, multimodal translation, and information retrieval.
Education
Ph.D. in Computer Science and Engineering,
National Institute of Technology Agartala.
M.Tech. in Computer Science and Engineering,
National Institute of Technology Agartala.
B.Tech. in Computer Science and Engineering,
National Institute of Technology Jalandhar.
Awards & Distinctions
- Gold Medallist (M.Tech.)
Professional Memberships
- Association for Computing Machinery (ACM) Membership No.: 9695269
Certifications & Courses
- Natural Language Processing with Deep Learning, Udemy (October 2017).
- Introduction to Data Science in Python, Coursera (July 2017).
- Data Mining with WEKA, University of Waikato, New Zealand (April 2014).
- Java 2 certification (ID: 2420099), Brainbench (11th January, 2001).
Research
Research interests
All aspects of natural language processing, information retrieval, social media analytics, the application of machine learning and deep learning techniques, and data science.
Broad areas
- Natural Language Processing
- Information Retrieval
- Social Media Analytics
- Machine Learning
- Deep Learning
- Data Science
Current focus
- Generative AI
Foundation models, LLM applications and AI-assisted systems.
- Large Language Models (LLMs)
Language understanding, generation and evaluation.
- Retrieval-Augmented Generation (RAG)
Retrieval quality, query performance prediction, hybrid retrieval and grounded generation.
Featured projects
AI-assisted Digital Curation and Global Promotion of North-East Indian Folklore
Leveraging AI and NLP techniques for the digital curation, preservation, and global promotion of folklore and cultural heritage from North-East India.
NLPGenerative AIDigital HumanitiesCultural Preservation
ANRFRole: Co-PIOngoing
I am also open to Data Science problems. Students interested in working with me in similar areas are most welcome to join my research venture.
Get in touchPublications
Journal & conference papers
Search by title, author or venue, and filter by year or publication type.
Selected publications
- J2026
Adaptive Query Performance Prediction for Retrieval-Augmented Generation: Bridging Retrieval Quality and Generation Relevance
Aparajita Sinha, Kunal Chakma
ACM Transactions on Information Systems (TOIS), Vol. 44, No. 6, 2026.
- J2026
Enhancing Readability of Telugu Text Summarization Using Multi-scale Attention and Bio-inspired Optimization
M. V. Rao, K. Chakma, A. Jamatia, and D. Rudrapal
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 25, No. 9, Article 78, 2026.
- J2025
Semantic Role Labelling: A Systematic Review of Approaches, Challenges, and Trends for English and Indian Languages
Kunal Chakma, Sima Datta, Anupam Jamatia, Dwijen Rudrapal
Expert Systems, Wiley, Vol. 42, Issue 4, e13838.
- J2024
Identification and summarisation of events from Twitter using clustering algorithms and deep neural network
Kunal Chakma, Anupam Jamatia, Dwijen Rudrapal
Natural Language Processing, 31(5), 1087–1115, 2025. First published online: 13 September 2024.
- C2025
NITATREC at TREC RAG 2025: A Report on Exploring Sparse, Dense, and Hybrid Retrieval for Retrieval-Augmented Generation
Aparajita Sinha and Kunal Chakma
TREC RAG 2025.
Showing 38 of 38 publications
Journal Papers
2026
“Enhancing Readability of Telugu Text Summarization Using Multi-scale Attention and Bio-inspired Optimization”
JournalM. V. Rao, K. Chakma, A. Jamatia, and D. Rudrapal
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 25, No. 9, Article 78, 2026.
“Adaptive Query Performance Prediction for Retrieval-Augmented Generation: Bridging Retrieval Quality and Generation Relevance”
JournalAparajita Sinha, Kunal Chakma
ACM Transactions on Information Systems (TOIS), Vol. 44, No. 6, 2026.
“Seeing Beyond Text: A Visual-Linguistic Dataset and Multimodal Framework for English-Hindi Video-Guided Translation”
JournalBinnu Paul, Dwijen Rudrapal, Kunal Chakma, Anupam Jamatia
Journal of Scientific & Industrial Research (JSIR), Vol. 85, No. 4, pp. 312–324.
“Cross-Modal Attention with CMAI-T: Improving Multimodal Translation for Hindi Using the SentiCap-HIN Dataset”
JournalBinnu Paul, Dwijen Rudrapal, Kunal Chakma, Anupam Jamatia, Rishabh Chaudhary
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, Springer.
“Adaptive Trans-Residual Long Short Term Memory Model for Automatic Text Summarization in Telugu”
JournalM. V. Rao, K. Chakma, A. Jamatia, and D. Rudrapal
Computational Intelligence, Wiley, Vol. 42, Issue 3, e70233.
2025
“Semantic Role Labelling: A Systematic Review of Approaches, Challenges, and Trends for English and Indian Languages”
JournalKunal Chakma, Sima Datta, Anupam Jamatia, Dwijen Rudrapal
Expert Systems, Wiley, Vol. 42, Issue 4, e13838.
2024
“Identification and summarisation of events from Twitter using clustering algorithms and deep neural network”
JournalKunal Chakma, Anupam Jamatia, Dwijen Rudrapal
Natural Language Processing, 31(5), 1087–1115, 2025. First published online: 13 September 2024.
“Multimodal Machine Translation Approaches for Indian Languages: A Comprehensive Survey”
JournalBinnu Paul, Dwijen Rudrapal, Kunal Chakma, Anupam Jamatia
Journal of Universal Computer Science (JUCS), 30(5), pp. 694–717.
“An innovative Telugu text summarization framework using the pointer network and optimized attention layer”
JournalVaraprasad Rao M, Kunal Chakma, Anupam Jamatia, Dwijen Rudrapal
Multimedia Tools and Applications, Springer, Vol. 83, pp. 84539–84564, 2024.
2020
“MSIR@FIRE: A Comprehensive Report from 2013 to 2016”
JournalSomnath Banerjee, Monojit Choudhury, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Sivaji Bandyopadhyay and Paolo Rosso
SN Computer Science, Vol. 1, Article 55, 2020.
2019
“Deep Semantic Role Labeling for Tweets using 5W1H: Who, What, When, Where, Why and How”
JournalKunal Chakma, Amitava Das and Swapan Debbarma
Computación y Sistemas, Vol. 23, No. 3, pp. 751–763.
2018
“A 5W1H Based Annotation Scheme for Semantic Role Labeling of English Tweets”
JournalKunal Chakma and Amitava Das
Computación y Sistemas, Vol. 22, No. 3, pp. 747–755.
2016
“CMIR: A Corpus for Evaluation of Code Mixed Information Retrieval of Hindi-English Tweets”
JournalKunal Chakma and Amitava Das
17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016), published in Computación y Sistemas, Vol. 20, No. 3, pp. 425–434.
2015
“A Comparison between Sentiment Analysis of Student Feedback at Sentence Level and at Token Level”
JournalChandrika Chatterjee and Kunal Chakma
International Journal of Computer Science and Network (IJCSN), Volume 4, Issue 3, June 2015, pp. 482–486.
Conference Papers
2025
“NITATREC at TREC RAG 2025: A Report on Exploring Sparse, Dense, and Hybrid Retrieval for Retrieval-Augmented Generation”
ConferenceAparajita Sinha and Kunal Chakma
TREC RAG 2025.
“Closing the Lexical-Semantic Divide: A Unified Approach for Retrieval-Augmented Generation”
ConferenceAparajita Sinha and Kunal Chakma
Computational Intelligence in Communications and Business Analytics (CICBA 2025), Communications in Computer and Information Science, vol. 2861, Springer, pp. 171–185.
“Adaptive Hybrid Retrieval-Augmented Generation for Document-Based QA: Implementation and Multi-metric Evaluation”
ConferenceAparajita Sinha, Mriganka Das, Kunal Chakma
Pattern Recognition and Machine Intelligence (PReMI 2025), Lecture Notes in Computer Science, vol. 16358, Springer, pp. 473–480.
“A Dataset Development for Fake News Detection in Low-Resource Romanized Manipuri”
ConferenceTakhellambam Babylon Devi, Anupam Jamatia, Dwijen Rudrapal, Kunal Chakma
3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), 2025, pp. 472–478.
“Biomedical Lay Summarization: Research Progress and Challenges”
ConferenceSouramita Bhowmik, Anupam Jamatia, Dwijen Rudrapal, Kunal Chakma
3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), 2025, pp. 464–471.
“A Multi-Model Lexical Fusion Approach for English–Bengali Code-Mixed Information Retrieval”
ConferenceKunal Chakma, Subhajit Datta
Forum for Information Retrieval Evaluation (FIRE 2025) Working Notes, CEUR Workshop Proceedings, Vol-4173, pp. 186–193.
2024
“Mapping the Linguistic Landscape: Progress Towards a Bengali FrameNet”
ConferenceSima Datta, Kunal Chakma, Dwijen Rudrapal, Anupam Jamatia
International Conference on Machine Learning and Data Engineering (MLDE 2024), Procedia Computer Science, Vol. 258, pp. 3814–3825 (2025).
2023
“A Comparative Analysis of Sentiment Analysis and Emotion Detection Problems on Texts”
ConferenceAparajita Sinha and Kunal Chakma
International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), Smart Innovation, Systems and Technologies, vol. 327, pp. 465–475.
“A Comparative Analysis of Machine Learning Based Sentiment Analysis”
ConferenceAparajita Sinha and Kunal Chakma
Artificial Intelligence (ISAI 2022), Communications in Computer and Information Science, vol. 1695, Springer.
2020
“Summarization of Twitter Events with Deep Neural Network Pre-trained Models”
ConferenceKunal Chakma, Amitava Das, Swapan Debbarma
International Conference on Information Management and Big Data (SIMBig 2020), Communications in Computer and Information Science, vol. 1410, pp. 45–62, Springer, 2021.
“5W1H-based Semantic Segmentation of Tweets for Event Detection using BERT”
ConferenceKunal Chakma, Steve Durairaj Swamy, Amitava Das and Swapan Debbarma
2nd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2020), Communications in Computer and Information Science, vol. 1240, Springer.
2018
“Finding Correlation Between Twitter Influence Metrics and Centrality Measures for Detection of Influential Users”
ConferenceKunal Chakma, Rohit Chakraborty and Shubhanshu Kumar Singh
5th International Conference on Computational Intelligence in Data Mining (ICCIDM 2018), Advances in Intelligent Systems and Computing, vol. 990, pp. 51–62, Springer, 2019.
2016
“Overview of the Mixed Script Information Retrieval (MSIR)”
ConferenceSomnath Banerjee et al.
FIRE-2016.
“A Language Identification System for Code-Mixed English-Manipuri Social Media Text”
ConferencePriyadarshini Lamabam and Kunal Chakma
2nd IEEE International Conference on Engineering and Technology (ICETECH).
“A Density-Based Clustering Algorithm and Experiments on Student Dataset with Noises using Rough Set Theory”
ConferenceBidipto Chakraborty, Kunal Chakma and Anjan Mukherjee
2nd IEEE International Conference on Engineering and Technology (ICETECH).
2015
“Sentence Boundary Detection for Social Media Text”
ConferenceDwijen Rudrapal, Anupam Jamatia, Kunal Chakma, Amitava Das, Björn Gambäck
12th International Conference on Natural Language Processing (ICON-2015).
“Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval”
ConferenceRoyal Sequiera et al.
FIRE 2015.
2014 & Prior
“Named Entity Detection from Tweets on Cricket”
ConferenceK. Chakma
ICON-2014.
“Revisiting Automatic Transliteration Problem for Code-Mixed Romanized Indian Social Media Text”
ConferenceK. Chakma, Amitava Das
ICON-2014.
“A Hybrid Approach to Synchronization in Real-Time Multiprocessor Systems”
ConferenceMuny Tamut, Kunal Chakma
ICACCCT 2014.
“Extended Level Real-Time Scheduling Framework Using a Generalized Non-Real Time Platform”
ConferencePurnima Singhal et al.
ICACCI 2014.
“An improved data security using DNA sequencing”
ConferenceNirmalya Kar et al.
3rd ACM MobiHoc Workshop on Pervasive Wireless Healthcare (MobileHealth '13), Bangalore, India, pp. 13–18.
“A Biometric Based Design Pattern for Implementation of a Security-Conscious E-Voting System”
ConferenceNirmalya Kar et al.
Second International Conference on Advances in Information Technology and Mobile Communication (AIM 2012), Communications in Computer and Information Science, vol. 296, pp. 78–85, Springer.
“Gait as a Biometric for Human Recognition by Histogram of Silhouette Image”
ConferenceD. Rudrapal, A. Pandey, S. Das, K. Chakma
Sunrise Technologies 2011.
Students
Thesis supervision
Current Ph.D. Scholars
- 2025Full-time
Topic
Neural Network Optimization
Scholar: Mr. Bebopam Dey
- 2022Part-time
Topic
Telugu text summarization
Scholar: Mr. V. Rao M.
- 2022Part-time
Topic
Bengali Semantic Role Labelling
Scholar: Mrs. Sima Dutta
- 2022Part-time
Topic
Multimodal Machine Translation
Scholar: Mr. Binnu Paul
- 2022Part-time
Topic
Query Performance Prediction on RAG
Scholar: Miss Aparajita Sinha
Master of Technology (M.Tech.)
17 theses- 2025
Adaptive Hybrid Retrieval Augmented Generation for document based Q and A: Implementation and Multi-metric Evaluation
by Mringanka Das (23PCS007)
- 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)
8 theses- 2025
Wondorlust: A Travel Blog to Explore the World Through Stories
by Akash Singh (22MCA003)
- 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.)
19 theses- 2025
Placement Portal
by Dev Yadav (21UCS122), Saloni Kumari (21UCS099), Sachin Kumar (21UCS188), Satwik Gupta (21UCS101)
- 2025
Quora Question Pair Similarity Test
by Abhradip Saha (21UCS053), Anirban Bhattacharya (21UCS046), Rupak Sarkar (21UCS059), Ankan Deb (21UCS187)
- 2024
Credit Card Fraud Detection using Machine Learning
by Sahil Dey (20UCS008), Shubhadeep Nath (20UCS001), Sourajita Chanda (20UCS041), Tithi Mazumder (20UCS131)
- 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), Gourav Kumar Singh (18UCS088)
- 2022
NIRF Data Analysis and Rank prediction system
by Soumik Das (18UCS011), Pulak Majumdar (18UCS012), Vishal Bania (18UCS013), Dipayan Das (18UCS014)
- 2021
Twitter User Gender Identification
by Ankit Wanjari (17UCS034), Diksant Paul (17UCS042), Akash Pawan Gupta (17UCS085)
- 2020
Faux investigator: fake news detection on liar-plus dataset
by Abhay Kumar (16UCS083), Indranil Biswas (16UCS020), Rubin Roy (16UCS072), Sreekanth T.M. (16UCS042)
- 2019
Identification of Patterns of Influencial Users on Twitter
by Richa Mishra (15UCS182), Tanmayee Debbarma (15UCS014), Suman Debbarma (15UCS062)
- 2018
Finding Influencers in Twitter
by Rohit Chakraborty (14UCS153), Shubhanshu Kumar Singh (14UCS156), Debargha Bhattacharjee (14UCS159), 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), Devdutt Kumar (13UCS019)
- 2017
Syllabified Back-Transliteration (English-Devanagari)
by Abhinit Kumar Jha (13UCS078), Shubham Kabra (13UCS058), Abhishek Balwada (13UCS079), Sanjay Kumar Patel (13UCS052)
- 2016
Predictive Analysis Of Student's Performance Using Machine Learning
by Akshay Gupta (12UCS002), Ankit Raonka (12UCS007), Mohsin Mohammad (12UCS037), 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), Vikas Shakya (11UCS072)
Teaching
Selected courses taught
ODD SEMESTER
- 1.Machine Learning
UCS07B02 - 2.Data Mining
PCS21E11 - 3.Data Science Foundation Lab
PCS21P02
EVEN SEMESTER
- 1.Machine Learning
PCS22B02 - 2.Deep Learning
PCS22E01 - 3.Machine Learning Lab
PCS22P01/P04 - 4.Data Science Implementation Lab
PCS22P02
Contact
Get in touch
Prospective Ph.D. students, collaborators and students are welcome to reach out by email.
kchakma.cse@nita.ac.in
Send an emailAddress
Room 227, CSE Building, NIT Agartala, Jirania-799046Department of Computer Science and Engineering, National Institute of Technology, Agartala
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