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Assistant Professor
Education : Ph. D. (Indian Institute of Technology Patna)
Dr. Tulika Saha is an Assistant Professor at the Dept. of Data Science & Artificial Intelligence in the International Institute of Information Technology Bangalore (IIITB), India. She also serves as an Honorary Lecturer at the Dept. of Computer Science in the University of Liverpool (UoL), United Kingdom (UK) where she worked earlier as a full-time Lecturer/Assistant Professor. She is also a part of the Natural Language Processing group at UoL. Prior to joining UoL, she worked with Prof. Sophia Ananiadou as a Postdoctoral Researcher at the National Centre for Text Mining (NaCTeM), University of Manchester, UK. She earned her Ph.D. in 2021 from Indian Institute of Technology Patna, India and is grateful to have Dr. Sriparna Saha and Prof. Pushpak Bhattacharyya as her Ph.D. supervisors.
Her primary research area is 'Natural Language Processing' (NLP). Mostly her research is aimed on developing 'Dialogue Systems' (DS) in multi-lingual and multi-modal framework navigating the challenges of different task domains and applications. Independent target is set on addressing all the primary modules of DS which includes 'Natural Language Understanding', 'Dialogue Policy Learning' and 'Natural Language Generation' using Deep Learning and Reinforcement Learning. Also interested in analyzing several aspects of human behavior and communication such as emotion, sentiment, sarcasm, humour etc. Investigations are being extended to analyse the content on 'social media' platforms such as Twitter and Reddit. She has also forayed into the area of 'NLP for Social Good' (such as Healthcare, Education, Legal Analytics, Climate etc.). She is also interested in making NLP systems 'Interpretable & Trustworthy'. Her research is also focused in the intersection of 'Vision and Language' such as Scene Graph Generation, Video Summarization etc. using LLMs, VLMs, MLLMs etc.
Personal Website: https://sahatulika15.github.io/
Natural Language Processing, Dialogue Systems, Multi-modal Learning, Social Good, Social Media Analysis, Generative AI, Trustworthy & Interpretable AI. Primary focus is in the broad area of NLP.
- AIM-829 - Natural Language Processing to Integrated Master’s & Master's degree programme (2024–25), IIIT Bangalore, India
- CSE-724 - Topics in AI to Integrated Master’s degree programme (2024–25), IIIT Bangalore, India
- EGC-112-Programming-1B - Introduction to Python Programming to Bachelor’s degree programme (2024–25), IIIT Bangalore, India
- COMP575 - Computational Intelligence to Master’s degree programme (2023–24), University of Liverpool, UK
- COMP575 - Computational Intelligence to Master’s degree programme (2022–23), University of Liverpool, UK
Projects & Grants:
(2025-2028): Seed Grant on "Hallucination in VLMs", Role: PI, Fund: INR 5 lakh, IIIT Bangalore, India
(2022-2024): Start-Up Fund, Role: PI, Fund: GBP 3000, University of Liverpool, UK
(2022-2023): Research Impact Grant for organizing the "1st Symposium on NLP for Social Good", Role: Co-PI, Fund: GBP 3000, University of Liverpool, UK
(2023-2024): School Impact Accelerator Grant for Project titled "NLP for Social Good Activities", Role: Co-PI, Fund: GBP 5000, University of Liverpool, UK
- Invited as one of the participants in the 2nd Pingala Interactions in Computing 2025 in Mysore, India.
- Received the nasscom AI Gamechangers Awards 2023-24 in AI Research category, for my works in mental health titled "A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony" & in NLP titled "Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection".
- Invited to attend the Frontiers of Science meeting in Artificial Intelligence, organised by the Royal Society (UK) and the Royal Society of Canada, in Ottawa, Canada, February 2024.
- Invited as one of the participants in the 10th Heidelberg Laureate Forum in Heidelberg, Germany, 2023.
- Received ACM India Travel Grant to travel and present a paper entitled "Towards Emotion–aided Multi–modal Dialogue Act Classification" at the 58th Annual Meeting of the Association for Computational Linguistics (ACL) in July 2020 (virtual).
- Received Microoft Research Travel Grant to travel and present a paper entitled "Exploring Machine Learning and Deep Learning Frameworks for Task–Oriented Dialogue Act Classification" at the International Joint Conference on Neural Networks (IJCNN) in Budapest, Hungary, July 2019.