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Vanshaj Khattar

Vanshaj Khattar is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering. His advisor is Ming Jin. His research interests lie at the intersection of reinforcement learning, optimization, and statistical learning. More specifically, he is interested in how to develop trustworthy reinforcement learning algorithms for real-world applications, which involve addressing challenges like non-stationarity, […]

Tanmoy Sarkar Pias

Tanmoy Sarkar Pias is a Ph.D. student in the Department of Computer Science. He is advised by Danfeng (Daphne) Yao. His research focuses on improving the trustworthiness of machine learning-based systems used in healthcare.

Ming Jin

Ming Jin joined Virginia Tech in 2020 as an assistant professor in Bradley Department of Electrical and Computer Engineering and is core faculty at the Sanghani Center. Jin’s expertise is in optimization, control, and machine learning (especially reinforcement learning). His research is broadly related to trustworthy AI, cyber-physical systems, security, and human-in-the-loop decision making. Jin’s […]

Sanjula Karanam

Sanjula Karanam was a master’s degree student in computer engineering in the Department of Computer Science. She was advised by Danfeng (Daphne) Yao. The objective of her research is to detect ransomware and benign files on a Windows machine using their behavioral aspects, more specifically, dynamic API calls made by a file during execution. The API […]

Fall rankings spotlight Virginia Tech’s emphasis on research

A strong emphasis on research, a robust commitment to sustainability, and a large international presence among its faculty served as common themes in Virginia Tech’s showing in various national and global rankings this fall. The university wrapped up the calendar year by being ranked in a tie for No. 265 out of 2,000 universities listed […]

Congratulations to Sanghani Center’s 2022 Summer and Fall Graduates

Virginia Tech’s 2022 Fall Commencement ceremony takes place today. “We wish our graduates at the Sanghani Center all the best as they receive their Ph.D. and master’s degrees and take the next step toward achieving their career goals,” said Naren Ramakrishnan, the Thomas L. Phillips Professor of Engineering in the Department of Computer Science at Virginia Tech and […]

Beat the heat: Virginia Tech team to study best ways to survive heat waves

Each year, heat waves kill more Americans than any other natural disaster. Climate change has exacerbated the problem by creating measurably higher temperatures in areas of cities with fewer economic and social resources to mitigate the impacts of heat, according to Theo Lim, an assistant professor of urban affairs and planning at Virginia Tech. Lim is leading a multidisciplinary […]

Virginia Tech HokieBot competes in Alexa Prize SocialBot Grand Challenge 5 to develop advanced AI technology that enhances user conversation

A team of four graduate students at the Sanghani Center for Artificial Intelligence and Data Analytics is one of nine international university teams selected to compete in the Alexa Prize SocialBot Grand Challenge 5 sponsored by Amazon.com Services LLC. Each participating team will receive up to a $250,000 research grant to build a skill that can help Alexa converse with […]

Chris Thomas

Chris Thomas is an assistant professor in the Department of Computer Science at Virginia Tech and core faculty at the Sanghani Center. His research interests lie at the intersection of computer vision and natural language processing. A primary focus of his research is to build robust AI systems that can understand and reason about real-world multimedia content (images, text, […]

Amazon Fellows and faculty-led projects advance innovations in machine learning and artificial intelligence

The Amazon–Virginia Tech Initiative for Efficient and Robust Machine Learning has announced support for two Amazon Fellows and four innovative research projects led by Virginia Tech faculty that further the initiative’s mission of advancing new directions in machine learning. Funded by Amazon, housed in the College of Engineering, and directed by researchers at the Sanghani Center for Artificial Intelligence and Data […]