Naquee Rizwan

About me

Hello 👋 . I am Naquee Rizwan, a researcher enrolled in the department of Computer Science and Engineering at IIT Kharagpur as Ph.D. fellow. I work under the supervision of Prof. Animesh Mukherjee and I am also a member of two research groups: CNeRG and HateAlert. My Ph.D. work is at the intersection of generative AI and social computing where I primarily work with multimodal models to build frameworks for "detection, explanation and intervention of multimodal hateful contents prevalent on social media and streaming platforms".

Before my research journey, I worked as a software engineer for nearly 3 years at Adobe Systems, Jio Platforms Limited and Samsung Research where I built products reaching millions of users monthly. My professional journey started after graduating from IIT (ISM) Dhanbad with a Bachelor (B.Tech) degree in Computer Science and Engineering in 2020.

[e-mail: naqueerizwan1998@gmail.com, nrizwan@kgpian.iitkgp.ac.in] [Google Scholar] [LinkedIn] [Research Gate]

Updates

July, 2025: Received ACM India-IARCS travel grant for presenting the AAAI ICWSM accepted paper in Copenhagen, Denmark.
July, 2025: One long paper accepted at ACM Multimedia 2025 (main, oral) - "Toxicity Begets Toxicity: Unraveling Conversational Chains in Political Podcasts". [Arxiv]
May, 2025: One long paper accepted at ACL 2025 (findings) - "HATEPRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation". [Paper]
March, 2025: One long paper accepted at AAAI ICWSM 2025 (main) - "Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations". [Paper]
Nov, 2024: One long paper accepted at COLING 2025 (main, oral) - "Multilingual and Explainable Text Detoxification with Parallel Corpora". [Paper]
Aug, 2024: Received Chanakya fellowship- (Aug 2024 to March 2025).
Dec, 2023: Secured perfect 10 GPA in the first semester of Ph.D. coursework. 4 EX (excellent) in the 4 courses I took (Advanced Machine Learning, Natural Language Processing, Social Computing & Information Retrieval).