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. I’m currently working on deep latent variable models in biomedical signal processing and neurocognitive modeling. I’m also interested in 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 Inc., 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”, under review.
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).