Welcome to my site
Khuong (Anthony) Vo
Donald Bren Hall 3069
University of California, Irvine
Irvine, CA 92697-3435, USA
I am a Ph.D. candidate at the Donald Bren School of Information and Computer Sciences, University of California at Irvine. I am advised by Prof. Srinivasan, Prof. Dutt, and Prof. Cao on deep latent variable models in biomedical signal processing, computational neuroscience, and their implementations 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 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.
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]
K. Vo, E.K. Naeini, A. Naderi, D. Jilani, A.M. Rahmani, N. Dutt, and H. Cao. “P2E-WGAN: ECG Waveform Synthesis from PPG with Conditional Wasserstein Generative Adversarial Networks”, in Proc. of 36th ACM SAC, 2021. [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 (SCIE & Scopus, Q1). [link][pdf]
K. Vo, T. Nguyen, D. Pham, M. Nguyen, M. Truong, T. Mai, and T. Quan. “A Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media”, IJCVR, 2019 (Scopus). [link][pdf]
A.K. Vo, T.K. Dang, and J. Küng. “A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce”, in Proc. of 28th DEXA, Springer-Verlag, 2017. [link]