Gaurav Srivastava is a master’s degree student in the Department of Computer Science. His advisor is Xuan Wang. His research lies at the intersection of machine learning and optimization, focusing on developing statistically and computationally efficient models with minimal human effort. He is  currently working on reducing the computational cost of large language models — […]

Xinyue Zeng is a Ph.D. student in the Department of Computer Science.  Her advisor is Dawei Zhou. Her research focuses on applying artificial intelligence to address real-world challenges, particularly in the fields of biostatistics and healthcare. Additionally, she is actively exploring advancements in graph and transfer learning.  

Umid Suleymanov is a Ph.D. student in the Department of Computer Science.  His advisor is Murat Kantarcioglu. His research focuses on developing ethical, reliable, and secure machine learning systems, with a particular emphasis on privacy-preserving machine learning, fairness in artificial intelligence (AI), and machine learning security. Suleymanov aims to contribute to the field of Trustworthy AI […]

Heesang Han is a master’s degree student in the Bradley Department of Electrical and Computer Engineering.  His advisor is A. Lynn Abbott. His research focuses on computer vision, especially its applications on 3D perception and sensor fusion.

Wang Wei is a master’s degree student in the Department of Computer Science. He is advised by Hoda Eldardiry. Wei’s research areas of interest include responsible artificial intelligence, language models, and natural language processing.

Min Zhang is a Ph.D. student in the Department of Computer Science.  Her advisor is Chang- Tien Lu. Her research interests are natural language processing (NLP) and Large Language Models (LLMs), especially focusing on uncertainty estimation and artificial intelligence for social good.          

Ishtiaque Ahmed Khan is a Ph.D. student in the Department of Computer Science.  His advisor is A. Lynn Abbott. His research focuses on machine learning techniques for remote vital sign measurement, specifically extracting PPG signals from facial video for healthcare and biometric authentication applications. Additionally, he explores domain adaptation of multimodal learning algorithms, integrating modalities […]

Yiqi Su is a Ph.D. student in the Department of Computer Science.  Her advisor is Naren Ramakrishnan. Su’s research interest lies in computational epidemiology, with a particular focus on time-series forecasting to better understand and predict the dynamics of disease spread.

Jun Hou is a Ph.D. student in the Department of Computer Science. Her advisor is Xuan Wang. Her research focuses on clinical natural language processing (NLP) to enhance healthcare workflows through techniques such as deep learning, contrastive learning, and large language models. Her goal is to improve the accuracy and personalization of synthetic Electronic Health […]

Two student Amazon Fellows and five faculty-led projects supported by the Amazon-Virginia Tech Initiative for Efficient and Robust Machine Learning for the 2024-25 academic year were named at a retreat held on the Blacksburg campus. The initiative, launched in 2022 to advance research and innovation in artificial intelligence (AI) and machine learning, is funded by Amazon, housed in the College […]