Kylie Davidson is a Ph.D. student in the Department of Computer Science. She is co-advised by Chris North and Doug Bowman. Davidson’s research focuses on assisting analysts in the sense-making process.

Bipasha Banerjee is a Ph.D. student in the Department of Computer Science. She is advised by Edward Fox. Her research interests are in natural language processing, machine learning, and deep learning and currently focused on extracting data from book-length documents like electronic theses and dissertations (ETDs).

A national pandemic that forced the closing of physical offices has not stopped graduate students at the Discovery Analytics Center from working remote internships at companies, research laboratories, and other institutions across the country. For many students, summer internships help further their own research as they gain real world experience. Following is a list of DAC students […]

Shengzhe Xu is a Ph.D. student in the Department of Computer Science. His advisor is Naren Ramakrishnan. Xu’s main research interest lies in deep generative models. His current project focuses on generating time-series multivariable data and applying the approaches to the network security and health analysis area.

Nurendra Choudhary was a Ph.D. student in the Department of Computer Science. He was advised by Chandan Reddy. His research focus is learning representations for natural language processing by utilizing auxiliary information such as relational structures.

Afrina Tabassum is a Ph.D. student in the Department of Computer Science.  She is co-advised by Hoda Eldardiry and Ismini Lourentzou. Tabassum’s research interests are in the area of machine learning, particularly designing novel representation learning objectives for multi-modal data.

Students in the urban computing graduate certificate program gave their group presentations via Zoom at the end of semester 2020 Spring Retreat, focusing on the very thing that led to this virtual format — COVID-19. The students were charged with taking a look at the pandemic’s impact beyond health — such as economic outcomes, urban […]

Amirsina Torfi was a Ph.D. student in the Department of Computer Science. He was advised by Edward Fox. Torfi’s research interests are deep learning and privacy in healthcare.

Ola Karajeh is a Ph.D student in the Department of Computer Science. Karajeh’s advisor was Edward Fox. Her research interests are graph machine learning, natural language processing, twitter analysis, and public health.

Mia Taylor is a master’s degree student in the Department of Computer Science. Her advisor is Chris North. In her research, Taylor is investigating high dimensional data visualization in an educational context.