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Muyinatu “Bisi” Bell, a John C. Malone Associate Professor of electrical and computer engineering at Johns Hopkins Whiting School of Engineering has been named a Senior Member of the National Academy of Inventors, recognizing…

Johns Hopkins Electrical and Computer Engineering Associate Professor Tinoosh Mohsenin recently sat down with the Edge AI Foundation to discuss one of the biggest challenges in artificial intelligence today: how to make powerful generative…

As electricity demand surges across the United States, a Johns Hopkins University initiative is helping states move faster—and more affordably—to expand grid capacity. The project, known as Leadership in Grid…

Two faculty members from the Department of Electrical and Computer Engineering have been named finalists for the Whiting School of Engineering’s 2026 Excellence in Teaching, Advising, and Mentoring Awards. Tinoosh…

Johns Hopkins electrical and computer engineering PhD student recognized for research in computer vision and generative AI

Vishal Patel, an associate professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, has been promoted to the rank of IEEE Fellow, one of the highest…

Advance by Johns Hopkins researchers could spare patients unnecessary follow-up exams and procedures

Johns Hopkins is part of the new multi-institution Learning Accelerated Domain Sciences (LEADS) Institute, a Department of Energy-funded collaborative initiative focused on reshaping how artificial intelligence supports scientific discovery. Supported through the Scientific Discovery…

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

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