Myeongseob Ko is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering.  He is advised by Ruoxi Jia. Ko’s research focuses on machine learning, security, and data valuation.    

Growing up in a family that included a doctor and public sector employees, Ph.D. student Shailik Sarkar said it became increasingly evident to him that social, behavioral, and economic factors often influence the physical and mental health patterns of an individual or a group of people. That realization shaped his own decision to focus his research in computer […]

Indrajeet Kumar Mishra is a Ph.D. student in the Department of Computer Science.  He is advised by Lifu Huang. Mishra’s research  is focused mainly in natural language processing. He has been working on multi model information/relation extraction which includes information modalities such as Text, table and images.

Zhiyang Xu is a Ph.D. student in the Department of Computer Science. His advisor is Lifu Huang. Xu’s research focuses on natural language processing and he is especially interested in using constraints and distant supervision to improve unsupervised and semi-supervised learning.    

Surendrabikram Thapa was  a master’s degree student in the Department of Computer Science.  His was co-advised by Anuj Karpatne and Abhijit Sarkar. Thapa worked on NSF-funded research to develop and test algorithms to recover Blood Volume Pulse (BVP) signals from face video and test their feasibility in biometric authentication.  He also worked on various projects relating […]

Han Xu was a master’s degree student in the Bradley Department of Electrical and Computer Engineering. His advisor was Lynn Abbott. The focus of Xu’s research in on skin segmentation without color information.  

Yogesh Deshpande was a master’s degree student in the Bradley Department of Electrical and Computer Engineering. His advisor was Lynn Abbott. Deshpande’s research is focused on exploring and implementing non-invasive techniques to retrieve human body parameters,  specifically on the usage of computer vision and deep learning methods to address the scope of authentication based on rPPG signals.

Sara Abdullah Alsalamah is a Ph.D. student in the Department of Computer Science.  Her advisor is Chang-Tien Lu. Her research focuses on artificial intelligence applications in the healthcare domain that are aligned with the WHO global AI agenda led by the Focus Group for AI for Health (AI4H).