College of Computing School of Computational Science and Engineering
Srijan Kumar's expertise is in artificial intelligence, data mining, and online safety, where he pioneers innovative methods to address complex challenges in web security and integrity.
Srijan Kumar is an assistant professor in the School of Computational Science and Engineering. With deep expertise in AI, applied machine learning, and data mining methods, Kumar is at the forefront of developing innovative solutions to safeguard the digital realm. He is dedicated to countering the most pernicious threats on the web, including malicious actors like ban evaders, sockpuppets, and coordinated campaigns, and fraudulent content such as misinformation, hate speech, and fake reviews. Notably, his research on predicting malicious users and combating false information has been adopted in practical applications, including Flipkart and Wikipedia. He also focuses his research on enhancing the security and integrity of AI models, ensuring their trustworthiness and robustness. Prior to joining Georgia Tech’s faculty, he was a visiting researcher at Google AI, a postdoctoral researcher at Stanford University, and a Ph.D. student at the University of Maryland.
News and Recent Appearances
Georgia Tech Machine-Learning Tool Predicts Hate Speech Against Asian-Americans During COVID-19
Google’s Jigsaw was trying to fight toxic speech with AI. Then the AI started talking
This AI predicts online trolling before it happens
Robustness: Making Progress by Poking Holes in Artificial Intelligence Models