Suggestions
Ning Jiang
Associate Professor at University of Waterloo
Ning Jiang is an Associate Professor at the University of Waterloo. He holds a Ph.D. in Biomedical Engineering from the University of New Brunswick and a Bachelor of Engineering in Telecommunications from Xi'an Jiaotong University.
Jiang's research focuses on using signal processing methods and artificial intelligence algorithms for biological signals like Electroencephalograms (EEG) and Electromyography (EMG).12 His work is applied to neurorehabilitation engineering, specifically in human-machine interfacing (HMI) technologies such as brain-computer interfaces (BCI) and muscle-man-interfaces (MMI).1 His innovations have led to new technologies for controlling upper limb prosthetics and have sped up motor function rehabilitation for patients with conditions like strokes.1 His research has broader applications in kinesiology, neural plasticity, ergonomics, and other related fields, impacting both scientific knowledge and the biomedical industry.1
As of 2021, Jiang had authored or co-authored 62 refereed journal papers and 62 full-length conference papers and extended abstracts.2 His work has been frequently cited (Web of Science: 1179, H-index: 20, Google: 2392, H-index 25), and he has been invited to present at 11 international conferences.2 Since starting his independent academic career in 2015, he has secured over $1.4 million (CAD) in direct research funding through peer-reviewed competitions.2 He received the NSERC Discovery Accelerator Supplement and the 2018 Early Researcher Award by the Province of Ontario Ministry of Research, Innovation, and Science.12
Jiang has supervised and co-supervised four post-doctoral fellows, six Ph.D., 21 Master's, and 14 undergraduate students, with five Ph.D. students successfully defending their degrees under his supervision.12 The majority of these researchers have gone on to positions in academia, government, or the private sector.12
Jiang is an Associate Editor for the IEEE Journal in Biomedical and Health Informatics, Frontiers in Neuroscience, and Brain-Computer Interfaces.12 He has also co-chaired symposia and workshops at international conferences.12 He was elevated to Senior Member of IEEE/EMBS in 2014.12
Jiang teaches courses such as Linear Systems and Signals (SYDE 252), Circuits, Instrumentation, and Measurements (SYDE 292), and Biomedical Measurement and Signal Processing (SYDE 544).1
