Princeton University

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ACM Outstanding Dissertation Award granted to graduate alumnus Pramod Subramanyan

Siemens Announces Winners of FutureMakers Challenge

Students host annual talent show, MelodEE 2018 (video)

Seven current and former students awarded NSF Graduate Research Fellowships

Kaushik Sengupta receives DARPA Young Faculty Award

Gmachl, Sengupta awarded E-Council teaching honors

Faculty research team awarded Schmidt fund to identify materials for quantum systems

Mittal wins Navy award to make machine learning more secure

Assistant Professor of Electrical Engineering Prateek Mittal has received a 2018 Young Investigators Award from the United States Office of Naval Research.

Wearable devices could diagnose illness as it emerges

In a paper in the journal IEEE Transactions on Multi-Scale Computing Systems, researchers led by Niraj Jha reported that their system, the Hierarchical Health Decision Support System (HDSS), used biomedical data to successfully detect five diseases in simulations created from an amalgamation of patient data. The paper, published in the journal’s Oct.-Dec. issue, states that the system diagnosed type-2 diabetes with 78 percent accuracy, arrhythmia with 86 percent accuracy, urinary bladder disorder with 99 percent accuracy, hypothyroid with 95 percent accuracy and renal pelvis nephritis with 94 percent accuracy.

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