Ph.D. student Sumin Kang was drawn to the Department of Industrial Systems Engineering by its prestigious faculty with particular expertise in optimization for logistics problems with uncertainty. “As a logistics enthusiast, I found their focus aligned very well with my own interests,” said Kang, who is advised by Manish Bansal, core faculty at the Sanghani Center. “And the interdisciplinary […]
An estimated one in six people suffer from a brain disorder worldwide, according to the American Brain Foundation. Current research has provided some insight into cell-communication inside the brain, but there are still a lot of unknowns surrounding how this crucial organ functions. What if there was a comprehensive map that took into consideration not just […]
Md. Atabuzzaman is a Ph.D. student in the Department of Computer Science. He is advised by Chris Thomas. His research focuses on multimodal hallucination detection and prevention.
Medha Sawhney earned a bachelor’s degree from the Manipal Institute of Technology in India, where she majored in electronics and communications engineering, with a minor in data science. When considering a graduate degree in computer science, Sawhney was drawn to Virginia Tech and the Sanghani Center by a research-focused environment that offered opportunities to learn from and work with […]
A student-led research team is working with Amazon to advance use cases for machine learning within the cloud for wireless communication applications. The Virginia Tech National Security Institute is collaborating with Amazon Web Services (AWS) to give 11 undergraduate students and a graduate research assistant experience deploying state-of-the-art machine learning algorithms in the cloud for […]
Mohimenul Karim is a Ph.D. student in the Department of Computer Science. He is advised by Danfeng (Daphne) Yao. His research focuses on applying machine learning algorithms/techniques for healthcare. He has also worked in the intersection of bioinformatics, computational biology, and machine learning.
Jingyuan Qi is a Ph.D. student in the Department of Computer Science. His advisor is Lifu Huang. His primary research interests are in natural language processing and multi-modal learning and reasoning, especially multimodal script induction, generation and inference; structured knowledge extraction; and open-domain pre-trained language model application.
Ahmed Aredah’s graduate school experience is not a typical one as he is simultaneously pursuing two graduate degrees in different majors. He is a master’s degree student in the Department of Computer Science advised by Hoda Eldardiry, assistant professor and core faculty at the Sanghani Center, and is also a Ph.D. student in the Bradley Department of […]
Runing Yang is a Ph.D. student in the Bradley Department of Electrical and Computer Engineering. His advisor is Ming Jing. Yang’s research focuses on control systems and machine learning. Currently, he is using uncertainty analysis to improve the robustness and safety of machine learning models or control systems.
Chang-Tien “C.T.” Lu, Dimitrios Nikolopoulos, and Naren Ramakrishnan, all faculty in the Department of Computer Science, have been elected to the 2024 class of fellows in the Institute of Electrical and Electronics Engineers (IEEE). To be named a fellow, IEEE members must demonstrate significant contributions to their field, show evidence of technical accomplishments and realization of […]