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 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, […]
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 […]
Hoang Anh Just is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering. His advisor is Ruoxi Jia. His research focuses on data valuation in machine learning, for example, how to fairly valuate the contribution of each datapoint that is used for machine learning training. Additionally, he is interested in understanding the […]
Having earned a bachelor of science degree in computer science at Virginia Tech in 2020, Han Liu remained at the university to continue his education and pursue a master’s degree. “On a personal note, I love the beautiful surroundings in Blacksburg,” said Liu. “But more importantly, my decision was influenced by the professors I have met here who […]
Barry Menglong Yao is pursuing a Ph.D. in the Department of Computer Science. His advisor is Lifu Huang. His research interest lies in improving text generation with linguistics knowledge or visual hints. He also works on general multimodal reasoning, like multimodal entity linking.
Fulan Li was a master’s degree student in the Bradley Department of Electrical and Computer Engineering. He was advised by Lynn Abbott. Li’s research focuses on extracting PPG signals from human face video using machine learning models.
Ying Shen is a Ph.D. student in the Department of Computer Science. She is co-advised by Lifu Huang and Ismini Lourentzou. Shen’s research interests lie in natural language processing, multi-modal machine learning, and embodied artificial intelligence. Her goal is to build more human-like interactive agents to better understand, interpret, and reason about the world in […]
Rebecca DeSipio was a master’s degree student in the Bradley Department of Electrical and Computer Engineering. Her advisor was Lynn Abbott. DeSipio’s research focuses on machine learning and deep learning methods for image classification. She is working towards improving classification results of hand-drawn spirals for hand tremor detection used to help with earlier diagnosis of Parkinson’s […]
Han Liu is a master’s degree student in the Department of Computer Science. His advisor is Chris North. Liu’s research explores how to implement visual analytics notebooks to solve problems, particularly in data science scenarios.