Welcome to my site

Khuong (Anthony) Vo

📧 khuongav@uci.edu

I'm currently a Principal AI Engineer at Medtronic, the largest medical technology company in the world, which serves more than 82 million patients annually. Previously, I was a Senior Algorithm Engineer at Becton Dickinson (BD), where I led the development of the first hemodynamics foundation model.

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. Dutt, Prof. Srinivasan, and Prof. Cao. My doctoral research, supported by grants from the National Science Foundation (NSF) and the National Institutes of Health (NIH), focused on deep latent variable models for biomedical signal processing and neurocognitive modeling, as well as efficient deep learning for healthcare IoT. My collaboration with Samsung during my Ph.D. on PPG-to-ECG signal translation for continuous atrial fibrillation detection led to a granted U.S. patent (No. 12,702,341).

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]

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