Sampanna Kahu was a master’s degree student in the Department of Electrical and Computer Engineering. His advisor was Edward Fox. Kahu’s research focus is to develop methods for effectively extracting figures and tables from scanned Electronic Theses and Dissertations (ETDs), thereby making their downstream usage easier.

Aarohi Sumant was a master’s degree student in the Department of Computer Science.  She was advised by Edward Fox. Her research interests are around machine learning, specifically natural language processing and data science.

Hongjie Chen was a Ph.D. student in the Department of Computer Science.  His advisor was Hoda Eldardiry. His research lies in the areas of graph neural networks, time-series analysis, and recommendation systems.

Aarathi Raghuraman was a master’s degree student in the Department of Computer Science. Her research interests are computational epidemiology, bioinformatics, and biomedical data science. She was advised by Lenwood Heath.

Mandar Sharma is a Ph.D. student in the Department of Computer Science. His research interests are AI/machine learning, specifically natural language generation and predictive modeling. He is advised by Naren Ramakrishnan.

Three funded UrbComp fellows, Stacey Clifton, Michelle Dowling, and Moeti Masiane, earned the graduate certificate in urban computing this spring. The certificate is offered through the National Science Foundation-sponsored multidisciplinary UrbComp Program administered by the Discovery Analytics Center.

Ming Wang was a master’s degree student in the Department of Computer Science and her advisor was Chris North.

Among Virginia Tech graduates celebrating their achievements today include four Ph.D. and five master’s students at the Discovery Analytics Center. Four Ph.D. students and one master’s student plan to complete degrees during the summer. “The thoughtful and impactful research our students have engaged in while pursuing their graduate degrees has been recognized by many major […]

Milad Afzalan was a master’s degree student in the Department of Computer Science. His advisor was Hoda Eldardiry. He simultaneously received a Ph.D. in civil engineering from Virginia Tech.  Afzalan’s research interests are machine learning, pattern recognition, smart grid, and energy efficiency.  

Gopikrishna Rathinavel was introduced to machine learning through the biotechnology courses he took as an undergraduate. “Eager to learn more, I began attending lectures by industry experts in machine learning,” Rathinavel said. “Soon I was captivated by the potential that machine learning offers as a discipline. It can add valuable insights in any domain where […]