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Ryan G. L. Koh
Affiliation
Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
KITE – Toronto Rehabilitation Institute – University Health Network, Toronto, Canada
KITE – Toronto Rehabilitation Institute – University Health Network, Toronto, Canada
Topic
Convolutional Neural Network,Machine Learning Models,Peripheral Nerve,Learning Algorithms,Machine Learning,Peripheral Nervous System,Supervised Learning,Unsupervised Learning,Arterial Pressure,Blood Pressure,Cuff Electrodes,Full-text Review,Knowledge Gaps,Machine Learning Techniques,Neural Network,Overview Of The Field,Scoping Review,Semi-supervised Learning,Support Vector Machine,Systematic Review,1D Convolution,Animal Models,Arrival Time,Artificial Neural Network,Autoencoder Model,Biomedical Engineering,Biomedical Field,Bipolar Channels,Blood Pressure Waveform,Carotid,Choice Of Algorithm,Chronic Implantation,Chronic Pain,Classification Accuracy,Classification Performance,Computational Platform,Continuous Blood Pressure,Conventional Filter,Convolutional Layers,Convolutional Neural Network Approach,Convolutional Neural Network Model,Current Knowledge Gaps,Data Augmentation,Data Pre-processing,Decoder Block,Decoding,Denoising Methods,Diastolic Blood Pressure,Electrical Signals,Electrical Stimulation,
Biography
Ryan G. L. Koh received the B.Eng. degree in electrical and biomedical engineering from McMaster University, and the Ph.D. degree from the Institute of Biomedical Engineering, University of Toronto, Canada.
He is currently a Postdoctoral Fellow with the KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada, and an incoming Postdoctoral Fellow with the Data Science Institute, University of Toronto. His research interests include peripheral nerve interfaces, signal and image processing, and ML for applications in healthcare.
Dr. Koh research has led to numerous awards, such as the NSERC CGS-D Scholarship, the TRI Student Scholarship, and the Sally and Paul Wang Graduate Scholarship in Biomedical Engineering.
He is currently a Postdoctoral Fellow with the KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, Canada, and an incoming Postdoctoral Fellow with the Data Science Institute, University of Toronto. His research interests include peripheral nerve interfaces, signal and image processing, and ML for applications in healthcare.
Dr. Koh research has led to numerous awards, such as the NSERC CGS-D Scholarship, the TRI Student Scholarship, and the Sally and Paul Wang Graduate Scholarship in Biomedical Engineering.