Jingwei Zuo is a second-year Ph.D. student, under the supervision of Prof. Karine Zeitouni and Dr. Yehia Taher, with Ambient Data Accessing and Mining team of DAVID Lab(Donnée et Algorithmes pour une Ville Intelligente et Durable), UVSQ, Université Paris-Saclay. His research interests include Time Series analytics, Data Streams mining and distributed algorithm in the context of IoT. He received his B.Sc degree in Optical & Electronic Information from Huazhong University of Science & Technology, China in 2015, and his M.Sc. degree in Big Data from UVSQ and University of Paris-Saclay, France in 2018, as well as an engineer degree in Electronic & Computer Science from Polytech Sorbonne, France in 2017.
M.Sc. in Big Data, 2018
UVSQ/Université Paris-Saclay, France
Engineer degree in Elec. & CS, 2017
Polytech Sorbonne, France
B.Sc. in Optical & Elec. Info., 2015
Huazhong University of Science & Technology(HUST)