Dr. Alapan Kuila , PhD
Assistant Professor,
Department of Computer Science and Engineering,
Email: alapan.cse[at]iiitk.ac.in | Contact Number: 08518-289100 - 134(E)
Google Scholar: https://scholar.google.com/citations?user=keZl8q8AAAAJ&hl=en
Current Position Assistant Professor, Indian Institute of Information Technology Design and Manufacturing (IIITDM) Kurnool, India (January 2026 – Present). Research Interests Machine Learning, Deep Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Information Extraction, Generative AI, Data Analytics, and Computational Social Science. Education ● PhD, Dept of Computer Science and Engineering, IIT Kharagpur Thesis: 'Decoding News Narratives: A Journey Through NLP Techniques in Content Analysis'. ● M.E., Computer Science and Engineering, Jadavpur University ● B.Tech., Computer Science and Engineering, West Bengal University of Technology. Research Experience ● Assistant Professor, IIITDM Kurnool (January 2026 – Present). ● Senior Research Scientist, IIT Delhi (August 2024 – May 2025). ● Junior Research Fellow (TQIP – World Bank Project), Department of Computer Science & Engineering, Jadavpur University (November 2015 – June 2016). Research Publications 1. News has various shades: Quantifying and Analyzing Media Bias at Aspect-level Granularity. ACM Journal on Computing and Sustainable Societies, 2024. Alapan Kuila, Somnath Jena, Sudeshna Sarkar, Partha Pratim Chakrabarti. 2. From Text to Context: An Entailment Approach for News Stakeholder Classification. Proceedings of the 47th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024). Alapan Kuila, Sudeshna Sarkar. 3. Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies. PoliticalNLP Workshop at LREC-COLING 2024. Alapan Kuila, Sudeshna Sarkar. 4. Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models. 20th International Conference on Natural Language Processing (ICON 2023). Alapan Kuila, Somnath Jena, Sudeshna Sarkar, Partha Pratim Chakrabarti. 5. If you build they will come: Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage. AAAI 2023 Workshop on AI for Credible Elections. Alapan Kuila, Sudeshna Sarkar. 6. PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture. AACL-IJCNLP 2022. Alapan Kuila, Sudeshna Sarkar. 7. A Graph Convolution Network-based System for Technical Domain Identification. ICON 2020 Shared Task. Alapan Kuila, Ayan Das, Sudeshna Sarkar. 8. A Neural Network based Event Extraction System for Indian Languages. FIRE 2018 Working Notes. Alapan Kuila, Sarath Chandra Bussa, Sudeshna Sarkar. 9. An Event Extraction System via Neural Networks. FIRE 2017 Working Notes. Alapan Kuila, Sudeshna Sarkar. 10. JU-USAAR: A Domain Adaptive MT System. WMT 2016. Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Josef van Genabith. 11. A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post-Processing Heuristics. FIRE 2014. Somnath Banerjee, Alapan Kuila, Aniruddha Roy, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay. Professional Service and Reviewer Contributions ● Journal Reviewer: ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). ● Journal Reviewer: PLOS ONE. ● Conference Reviewer: ACL Rolling Review. ● Conference Reviewer: Forum for Information Retrieval Evaluation (FIRE 2023). ● Conference Reviewer: International Conference on Natural Language Processing (ICON 2023). ● Program Committee Member: Forum for Information Retrieval Evaluation (FIRE 2023). ● Program Chair: JENAI Workshop on Generative AI in Computational Journalism (collocated with PAKDD 2026).