Jingping Nie
is an Assistant Professor in the School of Data Science and Society at the University of North Carolina at Chapel Hill. She received her Ph.D. in Electrical Engineering from Columbia University in 2025, under the supervision of Prof. Fred Jiang and Prof. Matthias Preindl. She received her Master of Science degree (Honor Student) in Electrical Engineering from Columbia University in 2019 and her Bachelor of Science degree (magna cum laude with high honors) in Engineering Science from Smith College in 2017.
Her research transforms everyday devices into intelligent healthcare and smart city solutions by co-designing hardware form factors and software for human-centric smart devices in Artificial Intelligence of Things (AIoT) systems. She aims to enhance personal wellness, fitness, and mental health by sensing the physical world in its many forms — and reimagining how AI and machine learning can transform the future of pervasive healthcare across the entire life cycle of data. Her work has been published in various top-tier journals and conferences and received multiple distinctions, including the Best Paper and People’s Choice Demo at ACM MobiSys’24, Best Paper at IEEE ITEC’21, Best Demo at ACM/IEEE IPSN’20, and Best Demo Runner-up at ACM SenSys ’22. She is a recipient of the 2023 Apple Scholars in AI/ML PhD Fellowship, 2023 EECS Rising Stars, 2025 CPS Rising Stars, and the Columbia University Morton B. Friedman Memorial Prize for Excellence. She has served on technical and organizing committees of leading conferences and workshops in the field and is the associate editor for ACM HEALTH and Elsevier Smart Health journals.
Please find my CV below (Update August 2025):
Jingping Nie 