In This Issue

Researchers from Johns Hopkins’ Ralph O’Connor Sustainable Energy Institute (ROSEI) and Morgan State University are teaming up with the State…

More than 600 Whiting School of Engineering students participated in this year’s Design Day, the school’s annual celebration of innovation…

Johns Hopkins University’s faculty achievements shine with Muyinatu “Bisi” Bell winning the 2024 Alan T. Waterman Award for her groundbreaking work in biomedical imaging and more.

Hopkins Engineering faculty trending in the media

Scientists have long known that the cell membrane—the thin layer surrounding each cell—plays a crucial role in cell activities and…

Gonzalo Pita, an expert on natural disaster risk modeling, has developed a reliable and affordable way for governments to estimate expected damage from river floods.

We increasingly rely on AI models in our daily lives—from traffic navigation and shopping apps to AI-informed care decisions made by our doctors. Given their ubiquity and influence, how and why should we trust these decisions? Can we be certain the models’ predictions are free of biases or errors?

Harnessing advances in data science and AI, Whiting School researchers are working closely with clinicians to improve care for a broad array of debilitating conditions.

Machine learning technologies hold the potential to revolutionize decision-making. But how can we ensure AI systems are free of bias? Our experts weigh in.

Johns Hopkins engineers are pioneering a new approach to creating a neuromorphic spiking neural network chip for machine learning and AI.

Hopkins Engineering student, Greg Wulffen, designed an EKG tool for chimps at the Maryland Zoo

Imagine a day when people focus their smartphone cameras on a sign language speaker and have their gestures instantly translated…

Cathy Petrozzino ’80 sees the integrity and reliability of data used in AI as a defining limitation, describing the challenge as a form of “ethical debt.”

Quinton Smith, PhD ’17, recently recognized as one of Popular Science’s “Brilliant 10,” works at the intersection of engineering and stem cell biology.

Fereshteh Aalamifar, Phd ’16, developed SoftSpot, an FDA-cleared mobile app for infant cranial measurements.

A pioneer in the field of organic electronics and photonics, Howard Katz occasionally turns to his trusty cello to provide his engineering students with an object lesson in wave vibration.

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