Jiang’s service to the scientific and engineering community has been extensive, including as an Associate Editor for the IEEE Journal in Biomedical and Health Informatics, Frontiers in Neuroscience, and the Brain-Computer Interfaces. The vast majority of these 40+ early-stage researchers have moved on to research positions in academia, government, or the private sector.ĭr. students under his day-to-day supervision have successfully defended their Ph.D. Jiang has supervised and co-supervised four post-doctoral fellows, six Ph.D., 21 Master, and 14 undergraduate students. Jiang was awarded the COVID-19 Alliance grant from NSERC in 2020.ĭr. Jiang was also awarded the highly competitive 2018 Early Researcher Award by the Province of Ontario Ministry of Research, Innovation, and Science, and most recently, Dr. ![]() This is a rare feat for a first-time applicant. This includes the NSERC Discovery Accelerator Supplement, awarded to only 4% of thousands of applicants in the annual competition. Jiang secured over $2 million (CAD) direction research fund in peer-reviewed competitions to support his program (as PI and co-PI). Since he started his independent academic career in 2015, Dr. Jiang has been invited to present his work at 11 different international conferences, as plenary speaker, workshop speaker, etc. That these contributions are achieving impact is clear from how often they have been cited (Web of Science: 2681, H-index: 23, Google: 4579, H-index 30), and that Dr. Nearly half of his journal papers were published in EMBS’ transactions and journals. Jiang has authored and co-authored 84 refereed journal papers and 83 conference papers (full-length papers and extended abstracts), primarily within the top-most venues for the biomedical engineering, neurorehabilitation, neurophysiology, signal processing, machine intelligence, and related disciplines. These contributions have not only advanced the scientific knowledge of the field but have also achieved direct impacts on the biomedical industry as described below. His research has also been applied more broadly to HMI for applications in kinesiology, neural plasticity (cortical and peripheral), ergonomics, and other related areas. ![]() His innovations have resulted in new, more effective upper limb prosthetic control technologies and accelerated rehabilitation of motor functions for patients suffering from disorders, such as stroke. In particular, his research focuses on new human-machine interfacing (HMI) technologies, including brain-computer interfaces (BCI) and muscle-man-interfaces (MMI). Jiang's research leverages signal processing methods and artificial intelligence algorithms for biological signals, such as Electroencephalogram (EEG) and Electromyography (EMG), for neurorehabilitation engineering applications. Ning Jiang, Ph.D., is a professor in the Department of Systems Design Engineering. Email: Website Ning Jiang Biography summaryĭr.
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