Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Bollywood Movie Corpus for Text, Images and Videos
Published in arXiv, 2017
A large multimodal dataset (text, images, video) designed for computational media analysis, enabling research on representation, fairness, and cultural analytics in film.
Recommended citation: N. Madaan, S. Mehta, M. Saxena, A. Aggarwal, T. Agrawaal, V. Malhotra. Bollywood Movie Corpus for Text, Images and Videos. arXiv preprint arXiv:1710.04142, 2017.
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Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies
Published in ACM FAT* (now ACM FAccT), 2018
A fairness and NLP framework that detects and mitigates gender stereotyping in films using text, image, and audio analysis across Bollywood movies. Paper available via PMLR.
Recommended citation: N. Madaan, S. Mehta, T. Agrawaal, V. Malhotra, A. Aggarwal, Y. Gupta, M. Saxena. Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies. FAT* (now ACM FAccT), 2018.
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A Comparison of Graph Neural Networks for Malware Classification
Published in Journal of Computer Virology and Hacking Techniques, 2023
A systematic comparison of graph neural network architectures for malware detection, demonstrating where GNNs outperform classical and neural baselines on real malware datasets.
Recommended citation: Vrinda Malhotra, Katerina Potika, and Mark Stamp. A Comparison of Graph Neural Networks for Malware Classification. Journal of Computer Virology and Hacking Techniques, 2023.
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AgentZero++: Modeling Fear-Based Behavior in Social Systems
Published in CSSSA, 2025
A fear-based extension of Epstein’s AgentZero, modeling how emotions, credibility, and social signals interact to shape collective behavior in complex societies. Preprint available on arXiv. Awarded The SimTable Advancing the Philosophy and Technique of Computational Social Systems Award and the Best Paper Award at CSS2025.
Recommended citation: Vrinda Malhotra, Jiaman Li, and Nandini Pisupati. AgentZero++: Modeling Fear-Based Behavior in Social Systems. Computational Social Science Society of the Americas (CSSSA), 2025.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
CDS 102
Undergraduate course, George Mason University, CDS Department, 2024
Introduction to Computational and Data Sciences course will teach students how to use R to analyze data. This course is more focused on programming. I taught it from Fall 2024 to Fall 2025.
CDS 101
Undergraduate course, George Mason University, CDS Department, 2025
Introduction to Computational and Data Sciences course will teach students how to use R to analyze data.