Dr. Kai Wu is an Assistant Professor at the Department of Electrical and
Computer Engineering, Texas Tech University, Lubbock, USA. He received his
B.Eng. from Northwestern Polytechnical University, China, in 2013, and his Ph.D.
from the University of Minnesota-Twin Cities, USA, in 2017. From 2017 to 2020, he served as a postdoctoral fellow at the University of Minnesota-Twin Cities, followed by a role as a Researcher from 2020 to 2022. He was a member of a
2015 Distinguished Award Winner Team in the Nokia Sensing X CHALLENGE
Competition. His research interests include magnetic nanomaterials, spintronic
devices, micromagnetic simulation, development of point-of-care (POC) medical
devices, virus and foodborne pathogen detection, neural engineering, and
machine learning-assisted healthcare. He has 68 publications with 1674
citations and an h-index of 23 (Scopus, 3 November 2023). He is the Associate Editor of the IEEE Sensors Journal and the Editorial Board Member of ACS Applied Nano Materials and Sensors. He is an IEEE senior member and an ACS member.
Dr. Kai Wu is an Assistant Professor at the Department of Electrical and
Computer Engineering, Texas Tech University, Lubbock, USA. He received his
B.Eng. from Northwestern Polytechnical University, China, in 2013, and his Ph.D.
from the University of Minnesota-Twin Cities, USA, in 2017. From 2017 to 2020, he served as a postdoctoral fellow at the University of Minnesota-Twin Cities, followed by a role as a Researcher from 2020 to 2022. He was a member of a
2015 Distinguished Award Winner Team in the Nokia Sensing X CHALLENGE
Competition. His research interests include magnetic nanomaterials, spintronic
devices, micromagnetic simulation, development of point-of-care (POC) medical
devices, virus and foodborne pathogen detection, neural engineering, and
machine learning-assisted healthcare. He has 68 publications with 1674
citations and an h-index of 23 (Scopus, 3 November 2023). He is the Associate Editor of the IEEE Sensors Journal and the Editorial Board Member of ACS Applied Nano Materials and Sensors. He is an IEEE senior member and an ACS member.