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, GM. Di Liberto, J. Yeaton, B. Khalighinejad, S. Shamma, and N. Mesgarani, “Neural Representation of Linguistic Feature Hierarchy Reflects Second-Language Proficiency,”Elsevier-NeuroImage, under revision, 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.
RESEARCH EXPERIENCE
Columbia University, New York, NY
Motor Drives and Power Electronics Lab (MPLab) | 2019 – Present
Columbia Intelligent and Connected Systems Lab (ICSL) | 2018 – Present
Neural Acoustic Processing Lab (NAPLab) | 2017 – 2018
Smith College, Northampton, MA
Susan Voss’ Lab | 2016-2017
Smith College Design Clinic & Medtronic CT | 2016-2017
TEACHING EXPERIENCE
Columbia University, New York, NY
Fall 2019 EECS 4764: IoT – Intelligent and Connected Systems
Spring 2018 ELEN 6767: Internet Economics, Engineering, and Society
Volunteer
Women in Science at Columbia (WISC) mentoring program
