Our research reflects the diverse interests—from medicine to defense to environmental protection, to name a few—of our faculty and students. Our research activities are closely coupled with the Johns Hopkins University School of Medicine and the Applied Physics Laboratory, which enables collaborations capable of addressing global challenges.

Though the research conducted in our department covers a wide range of applications, the underlying question of every project is the same: How can we help? Whether devising a suite of smart tools to reduce human error in surgery, developing mind-controlled prosthetics, creating less intrusive human action-recognition systems, or improving alternative energy technologies, our researchers are committed to improving our quality of life, as well as our understanding of science and engineering.

Our strengths in traditional research areas enable us to develop solutions for, and adapt to changes in, the areas of Cyber-Bio-Physical Systems, Human Language, Nano-Bio Photonics, and Image and Signal Processing. Within these areas, we address issues related to whole body sensing, smart buildings and infrastructures, and beyond-CMOS and cognitive computing. Our Research Staff does an excellent job of working with our tenured and tenure-track faculty in pursuing our lofty research goals.

If you are interested in learning more about our research, please look at our Laboratories and Centers.

Among our research activities...

Hopkins Team Awarded Up To $20.9 Million to Further Tumor-Removal Research

A Whiting School-led interinstitutional research team will develop a photoacoustic endoscope and fluorescent contrast agent to ensure tumor removal and preservation of healthy tissue Learn More

JeDi Masters the Art of AI Imagery

In a galaxy not so far, far away—Johns Hopkins’ Whiting School of Engineering—researchers have created JeDi, a new approach to personalized text-to-image generation that uses AI to allow users to produce customized images simply by typing what they want to see. Learn More

AI Can Now Detect COVID-19 in Lung Ultrasounds

An automated detection tool developed by Johns Hopkins researchers could help ER doctors diagnose patients quickly and accurately. Learn More