| 2026 | ECIR | From What to Why: Thought-Space Recommendation with Small Language Models. | Prosenjit Biswas, Pervez Shaik, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar |
| 2025 | AAAI | Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience. | Brijraj Singh, Sonal Dabral, Niranjan Pedanekar |
| 2025 | ECAI | Dynamic Task-Adaptive Meta Optimization for Cold-Start Recommendation. | Tushar Prakash, Raksha Jalan, Brijraj Singh, Niranjan Pedanekar |
| 2025 | RecSys | Large Language Model-based Recommendation System Agents. | Tommaso Carraro, Brijraj Singh, Niranjan Pedanekar |
| 2024 | WWW | Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis. | Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar |
| 2024 | SAC | Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges. | Subham Raj, Pawan Agrawal, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar |
| 2023 | RANLP | Generative Models For Indic Languages: Evaluating Content Generation Capabilities. | Savita Bhat, Vasudeva Varma, Niranjan Pedanekar |
| 2022 | AAAI | Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper). | Bhagyashree Gaikwad, Bhargav Kurma, Manasi Patwardhan, Shirish Karande, Niranjan Pedanekar |
| 2022 | NAACL | Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems. | Saiteja Kosgi, Sarath Sivaprasad, Niranjan Pedanekar, Anil Nelakanti, Vineet Gandhi |
| 2021 | CVPR | Color Me Good: Branding in the Coloring Style of Movie Posters. | Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar |
| 2020 | CVPR | Predicting Sentiments in Image Advertisements using Semantic Relations among Sentiment Labels. | Stephen Pilli, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande |
| 2019 | AAAI | Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies. | Tanmayee Joshi, Sarath Sivaprasad, Niranjan Pedanekar |
| 2017 | CSCW | I Know What You Coded Last Summer: Mining Candidate Expertise from GitHub Repositories. | Rohit Saxena, Niranjan Pedanekar |
| 2017 | ICDM | Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. | Rohit Saxena, Savita Bhat, Niranjan Pedanekar |
| 2016 | CSCW | Mining Shapes of Expertise in Online Social Q&A Communities. | Varun Kumar, Niranjan Pedanekar |
| 2016 | SIGCSE | Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only). | Abhay Doke, Niranjan Pedanekar |
| 2015 | FIE | Automatically augmenting learning material with practical questions to increase its relevance. | Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar |
| 2015 | ICALT | Stickipedia: A Search Engine and Repository for Explanatory Analogies. | Varun Kumar, Savita Bhat, Niranjan Pedanekar |
| 2014 | ECIR | Automatically Retrieving Explanatory Analogies from Webpages. | Varun Kumar, Savita Bhat, Niranjan Pedanekar |
| 2014 | FIE | Which hat are you wearing today? Enabling perspectives while learning computer science. | Abhay Doke, Gaurav Kumar Singh, Varun Kumar, Savita Bhat, Niranjan Pedanekar |
| 2014 | HCI | Assessing the Need of Augmenting Video Lectures with Supporting Information. | Gaurav Kumar Singh, Abhay Doke, Varun Kumar, Savita Bhat, Niranjan Pedanekar |
| 2013 | HCI | TAGZILLA: Tag-Based File Storage and Retrieval. | Vikram Nair, Vijayanand Banahatti, Niranjan Pedanekar |