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Niraj
Jha

Professor of Electrical and Computer Engineering

Website
609-258-4754
Research interests: Machine learning; Internet of Things; embedded computing; cybersecurity; computer architecture; computer-aided design of integrated circuits and systems; low-power hardware/software design; 3D monolithic IC design.

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Princeton IP Accelerator funding awarded to support promising new technologies

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Researcher Tian Zhao uses patterns of light to help guide robots that are the size of bacteria. Photo by Sameer A. Khan/Fotobuddy

Turning breakthroughs into lasting solutions

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NextG Symposium organizers Kaushik Sengupta, right, and Yasaman Ghasempour, center, talk with keynote speaker Victor Bahl, an executive at Microsoft. Photos by Sameer A. Khan/Fotobuddy

Tech leaders convene to discuss the future of wireless communication

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Combining questions about a person’s health with data from smartwatch sensors, the CovidDeep app can predict within minutes whether someone is infected with COVID-19. Photo by Sameer A. Khan/Fotobuddy

Deep-learning diagnoses: Edge AI detects COVID-19 from smartwatch sensors

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Princeton researchers, led by electrical engineering professor Niraj Jha, developed a technique that produces advanced artificial intelligence programs for wearable devices like a smart watch. By mimicking the brain's developmental arc, the new approach leads to benchmark accuracy using a fraction of the energy of other systems. From left: Prerit Terway, Hongxu Yin, Niraj Jha, Seyed Shayan Hassantabar. Photo by Sameer A. Khan/Fotobuddy

‘Grow-and-prune’ AI mimics brain development, slashes energy use

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Wearable devices could diagnose illness as it emerges

Affiliations

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Electrical and Computer Engineering

Improving human health, energy systems, computing and communications, and security