Welcome to my site
Khuong (Anthony) Vo
Address:
Donald Bren Hall 3069
University of California, Irvine
Irvine, CA 92697-3435, USA
Email: khuongav@uci.edu
I am currently a Senior Algorithm Engineer at Becton Dickinson (BD), one of the largest medical technology companies in the world.
I obtained the Ph.D. degree from the Donald Bren School of Information and Computer Sciences, University of California at Irvine. I was fortunate to be advised by Prof. Srinivasan, Prof. Dutt, and Prof. Cao. My research focuses on deep latent variable models in biomedical signal processing and neurocognitive modeling. I am also interested in the application of efficient deep learning in healthcare IoT.
My work was supported by National Science Foundation (NSF) and National Institutes of Health (NIH) grants.
I received my B.Eng. (Honors) degree in CS from HCMC Vietnam National University. My previous research revolved around statistical natural language processing and has been applied in large-scale commercial systems.
[Resume] [Linkedin] [Google Scholar] [ORCID] [Github] [Twitter]
Selected Publications
Neurocognitive Modeling
K. Vo, Q. Sun, M. Nunez, J. Vandekerckhove, and R. Srinivasan. “Deep Latent Variable Joint Cognitive Modeling of Neural Signals and Human Behavior”, NeuroImage, 2024. [link][pdf]
K. Vo, M. Vishwanath, R. Srinivasan, N. Dutt, and H. Cao. “Composing Graphical Models with Generative Adversarial Networks for EEG Signal Modeling”, in Proc. of IEEE ICASSP, 2022. [link][pdf]
Q. Sun, K. Vo, K. Lui, M. Nunez, J. Vandekerckhove, and R. Srinivasan. “Decision SincNet: Neurocognitive Models of Decision Making that Predict Cognitive Processes from Neural Signals”, in Proc. of IJCNN, 2022. [link][pdf]
Health AI
K. Vo, M. El-Khamy, and Y. Choi. “PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling”, in Proc. of IEEE EMBC, 2024. [link][pdf]
T.-Y. Lee, K. Vo, W. Baek, M. Khine, and N. Dutt. “STINT: Selective Transmission for Low-Energy Physiological Monitoring”, in Proc. of IEEE/ACM ISLPED, 2020. [link][pdf]
K. Vo, T. Le, A.M. Rahmani, N. Dutt, and H. Cao. “An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram”, Sensors, 2020. [link][pdf]
Patents
Khuong Vo, Mostafa El-Khamy, and Yoojin Choi. “System and Method for Continuous Atrial Fibrillation Detection via PPG to ECG Signal Translation”, U.S. Patent Application 18/458,268, filed April 18, 2024. [link]
Khuong Vo and Ramesh Srinivasan. “Generating Neural Signals From Human Behavior By Neurocognitive Variational Autoencoders”, Provisional US patent 2024.