In This Issue

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.

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

“Though there is a long way to go, the immediate application for our materials is to produce a retinal prosthetic…

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.

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

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.

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?

Doctoral student Lidia Al-Zogbi created an autonomous system that can alert doctors to a hemorrhage via ultrasound and initiate diagnostics.

Using sensory systems, embedded processing, and machine learning, Hopkins undergrads are learning about avian life on campus.

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

Jeong Kim ’82, MS ’89, received the National Medal of Technology an Innovation, the country’s highest award for technological achievement.

Alok Aggarwal, PhD ’84, is CEO and chief data scientist of ScryAI, an analytics firm that develops AI software solutions for the financial, technology, and health care industries.

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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