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Srijan 库马尔's expertise is in artificial intelligence, 数据挖掘, 网络安全, where he pioneers innovative methods to address complex challenges in web security and integrity.

Srijan库马尔

助理教授

计算机学院 School of Computational Science and Engineering

Srijan 库马尔's expertise is in artificial intelligence, 数据挖掘, 网络安全, where he pioneers innovative methods to address complex challenges in web security and integrity.

Srijan 库马尔 is an assistant professor in the School of Computational Science and Engineering. With deep expertise in AI, applied machine learning, and 数据挖掘 methods, 库马尔 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, 以及协调一致的运动, and fraudulent content such as misinformation, 仇恨言论, 虚假评论. 值得注意的是, his research on predicting malicious users and combating false information has been adopted in practical applications, 包括Flipkart和维基百科. He also focuses his research on enhancing the security and integrity of AI models, ensuring their trustworthiness and robustness. Prior to joining 太阳城集团’s faculty, he was a visiting researcher at Google AI, a postdoctoral researcher at Stanford University, 和Ph值.D. student at the University of Maryland.

新闻和最近的表现

Robustness: Making Progress by Poking Holes in Artificial Intelligence Models

太阳城集团 researchers are working to make AI applications more reliable and more resilient.

研究ers to Study Connection Between Online Misinformation and Real-World Violence

Srijan 库马尔 and Munmun De Choudhury receive CDC grant

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