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 a Ph.D. candidate at the Donald Bren School of Information and Computer Sciences, University of California at Irvine. I am fortunate to be advised by Prof. Srinivasan, Prof. Dutt, and Prof. Cao. My current 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 is supported by NSF and NIH grants.

I was an AI/ML Research Scientist Intern at Samsung Semiconductor US, working on algorithms for physiological signal monitoring problems.

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”, under review. [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. “Atrial Fibrillation Detection from both ECG and PPG Signals via PPG-to-ECG Deep Neural Network Translation”, Non-provisional US patent 2023 (To be published in 2025).
Khuong Vo and Ramesh Srinivasan. “Generating Neural Signals From Human Behavior By Neurocognitive Variational Autoencoders”, Provisional US patent 2024.