Jingping Nie

Intelligent and Connected Systems Lab (ICSL) & Motor Drives and Power Electronics Lab (MPLAB)

I am a Ph.D. student in the Department of Electrical Engineering, Columbia University, studying under the supervision of Prof. Xiaofan Jiang and Prof. Matthias Preindl. I received my Master of Science degree (Honor Student) in Electrical Engineering from Columbia University (2018), and the Bachelor of Science degree (Magna cum Laude with High Honors) in Engineering Science from Smith Collge (2017).

My research lies at the intersection of artificial intelligence, machine learning, cyber-physical systems, and data analytics. I am focusing on designing the next generation of human-centric intelligent wearable devices and Internet of Things platforms to improve our lives by sensing the physical world in its many forms.

Education

Columbia University, New York, NY

Ph.D. Electrical Engineering | Sept 2019-present

M.S. Electrical Engineering | Sept 2017-Feb 2019

Smith College, Northampton, MA

B.S. Engineering Science | Sept 2013-May 2017

Honors and Awards

ACM/IEEE IPSN Best Demo Award | 2020

Columbia Electrical Engineering M.S. Honors Student | 2018

Phi Beta Kappa Honor Society, Smith College | 2017

Sigma Xi Honor Society, Smith College | 2017

Dean’s List, All Semesters at Smith College | 2013-2017

Tau Beta Kappa Honor Society, Smith College | 2016

Publications

J. Nie, Y. Liu, Y. Hu, Y. Wang, S. Xia, M. Preindl and X. Jiang, “SPIDERS+: Low-Cost Wire-less Glasses for Continuous In-Situ Bio-Signal Acquisition and Emotion Recognition, “Elsevier-Pervasive and Mobile Computing Journal (PMC), 2021

J. Nie, L. Zhou, M. F. Kaye, C. C. Silveira, A. Nwokolo, X. Jiang, and M. Preindl, “Optimal Power Flow Estimation of Microgrid Considering the Grid Services of EV Batteries,” in Proc. The 2021 IEEE Transportation Electrification Conference and Expo (ITEC’21), 2021 [Best Paper Award]

S. Xia, J. Nie, and X. Jiang, “CSafe: An Intelligent Audio Wearable Platform for Improving Con-struction Worker Safety in Urban Environments,” in Proc. 2021 ACM/IEEE Information Processing in Sensor Networks (IPSN) (IPSN’21), 2021

J. Nie, GM. Di Liberto, J. Yeaton, B. Khalighinejad, S. Shamma, and N. Mesgarani, “Neural Representation of Linguistic Feature Hierarchy Reflects Second-Language Proficiency,”Elsevier-NeuroImage, 2020 (bioRxiv version)

J. Nie, Y. Hu, Y. Wang, S. Xia, and X. Jiang, “SPIDERS: Low-Cost Wireless Glasses for Continu-ous In-Situ Bio-Signal Acquisition and Emotion Recognition,” inProc. ACM/IEEE 5th InternationalConference on Internet of Things Design and Implementation (IoTDI’20), 2020

Y. Hu, J. Nie, Y. Wang, S. Xia, and X. Jiang, “Demo Abstract: Wireless Glasses for Non-contactFacial Expression Monitoring,” inProc. ACM/IEEE 19th Conference on Information Processing inSensor Networks (IPSN’20), 2020 [Best Demo Award]

GM. Di Liberto, J. Nie, J. Yeaton, B. Khalighinejad, S. Shamma, and N. Mesgarani, “WorkshopAbstract: Neural biomarkers of language proficiency in second language listeners,” inNanosympo-sium for Neuroscience, 2019

GM. Di Liberto, J. Nie, J. Yeaton, B. Khalighinejad, S. Shamma, and N. Mesgarani, “How proficiency shapes the hierarchical cortical encoding of non-native speech.” Eleventh Annual Meeting of the Society for the Neurobiology of Language (SNL), Helsinki, Finland. August 20-22, 2019.