Welcome to my site
Khuong (Anthony) Vo
Donald Bren Hall 3069
University of California, Irvine
Irvine, CA 92697-3435, USA
I am a third-year Ph.D. student at the Donald Bren School of Information and Computer Sciences, University of California at Irvine. I am advised by Prof. Nikil Dutt and Prof. Hung Cao in the fields of Physiological Signal Processing with Deep Learning and Healthcare Internet of Things.
I received my B.Eng. (Honors) degree in CS from HCMC Vietnam National University in 2017. I have experience in doing research in both academia and industry. My previous research revolved around Statistical Natural Language Processing. I helped launch a large-scale sentiment analysis engine for YouNet - a leading social media intelligence platform in Vietnam.
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 36th ACM SAC, Gwangju, South Korea, March 2021 (H5 Index: 30). [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 - 5-year IF: 3.427). [link][pdf]
T.-Y. Lee, K. Vo, W. Baek, M. Khine, and N. Dutt. “STINT: Selective Transmission for Low-Energy Physiological Monitoring”, in 2020 IEEE/ACM ISLPED, Boston, USA, August 2020 (H5 Index: 24). [link][pdf]
K. Vo, T. Nguyen, D. Pham, M. Nguyen, M. Truong, T. Mai, and T. Quan. “Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media”, International Journal of Computational Vision and Robotics, 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 28th DEXA, Springer-Verlag, Lyon, France, August 2017. [link]