News

Vishal M. Patel, associate professor of electrical and computer engineering, has been named to the 2025 Highly Cited Researchers list, an annual global ranking compiled by Clarivate Analytics that recognizes…

Two faculty members in the Department of Electrical and Computer Engineering have received major national recognition for their groundbreaking contributions to science and technology. Rama Chellappa, Bloomberg Distinguished Professor of…

Hopkins researcher develops precise model for predicting electron movement, advancing new materials discovery

FlexSED detects and localizes any sound event and its timing with exceptional adaptability and language-driven precision

Assistant Professor Berrak Sisman has been selected for a 2025–2026 Faculty Research Award from the Johns Hopkins University + Amazon Initiative for Artificial Intelligence (AI2AI). Her project, “Multimodal Speech Synthesis:…

A new 10,000-square-foot hub at Bayview Medical Center is helping the Johns Hopkins Human Aging Project bring together a variety of disciplines to test technology-driven solutions for aging's biggest challenges

Brain-inspired navigation and energy-efficient artificial intelligence let four-legged 'robot dogs' survive longer and search farther in disaster zones

Shao-Yuan Lo, a former student of Vishal Patel, associate professor in the Department of Electrical and Computer Engineering, has been awarded the prestigious Yushan Young Fellowship from Taiwan’s Ministry of Education—the highest…

Seven JHU doctoral candidates studying machine learning, computer vision, and natural language processing receive two-year fellowships

Dredze, a member of JHU's faculty since 2009, selected to lead institute dedicated to harnessing the power of artificial intelligence to translate data-driven discovery into real-world impact

Kamal Choudhary, assistant professor of materials science and engineering with a joint appointment in electrical and computer engineering, was elected as a fellow of the American Physical Society (APS) in…

Johns Hopkins researchers use AI and photoacoustics to track surgical tool tips in real time with millimeter accuracy