Biography

I am currently a Postdoctoral Fellow at the Wadhwani School of Data Science and Artificial Intelligence, Indian Institute of Technology (IIT) Madras, India. Earlier, I was a Prime Minister’s Research Fellow (PMRF) and PhD scholar in the Department of Computer Science and Engineering at IIT Jodhpur. I have submitted my PhD thesis under the supervision of Dr. Suman Kundu, with Prof. Rajesh Sharma as co-supervisor. I received my Master’s degree in Computer Science and Engineering from the College of Engineering Pune Technological University (COEP).

My current research interests include natural language processing, graph neural networks, social networks, and AI for social good and education.

News

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Research Highlights

IndicAG: An Explainable Agentic Framework for Indic-Multilingual Multidimensional Aggression Detection
Swapnil Mane, Rajesh Sharma, Suman Kundu
WWW, 2026
paper (coming soon) / dataset (coming soon) / code (coming soon)

IndicAG proposes an explainable agentic framework for multilingual aggression detection in Indic languages by integrating LLM reasoning, knowledge retrieval, and structured explanations across aggression dimensions.

TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting
Swapnil Mane, Suman Kundu, Rajesh Sharma
AAAI, 2025
paper / code

TSGAN models temporal user interactions using graph attention networks to forecast aggressive behavior in social networks, enabling early identification of aggression dynamics.

You Are What Your Feeds Make You: A Study of User Aggressive Behavior on Twitter
Swapnil Mane, Suman Kundu, Rajesh Sharma
Applied Intelligence, 2025
paper

This work investigates how exposure to aggressive content influences user behavior and reveals patterns of aggression propagation in social media networks.

A Survey on Online Aggression: Content Detection and Behavioural Analysis on Social Media Platforms
Swapnil Mane, Suman Kundu, Rajesh Sharma
ACM Computing Surveys (CSUR), 2024
paper

A comprehensive survey covering datasets, machine learning models, and behavioral analysis approaches for understanding online aggression in social media.