Supervision

[2023-2025] Abhishek Singh, 2023-2025, An Integrated LLM and VLM-Assisted Multi-Modal Framework for Offensive Meme Identification

[2023-2025] Anubhav Singh, 2023-2025, Unraveling COVID-19 Vaccine Hesitancy: A Multi-Label Classification Approach Using Nested LSTM

[2023-2025] Shubhansu Chadha, 2023-2025, Abstractive Podcast Summarization using Large Language Models 

[2023-2025] Gaurav Gupta, 2023-2025, Multimedia Automatic Misogyny Identification

[2023-2025] Aakash Gupta, 2023-2025, Leveraging Semantic Fusion and Generative Reasoning using LLMs for Context-Aware and Explainable Sexism Detection

[2023-2025] Muaaz Zahid Ansari, 2023-2025, MPLUM: A LLM-Assisted Multi-Objective Prompt Learning for High-Quality English-Urdu Summarization

[2023-2025] Sanjay Raj V V, 2023-2025, SPASS-M: Speech Processing and Abstractive Summarization System for Malayalam Podcasts using Large Language Models

[2022-2024] Yashwant Pravinrao Bangde, 2022-2024, Towards Developing Multi-view Ensemble Approach for Podcast's Recommendation and Genre Classification

[2022-2024] Vidit Raj Singh, 2022-2024, Investigation on Multilingual Podcast Summarization using Low-resource Indian Languages

[2022-2024] Jiten Parmar, 2022-2024, Investigation on Indian Low-resource News Summarization using Differential Evolutionary Algorithm

[2021-2023] Shreya Goswami, Incorporating Domain Knowledge in Multi-Objective Optimization Framework For Automating Indian Legal Case Summarization

[2021-2023]  Nazia Nafis, 2021-2023, Towards safer communities: Modeling aggression and offensiveness in the Indian political context 

[2021-2023]  Akash Rawat, 2021-2023, Investigating meta-embeddings for code-mixed sentiment analysis in different language families