Biography

I am currently a PhD Candidate at the University of Illinois Urbana - Champaign, under the supervision of Professor Minh N. Do. My major is Computer Science. I am currently working in Machine Learning/Deep Learning.

I was born in Hanoi, Vietnam, and grew up here. I got my Bachelor (Engineer) degree in Information & Communication Technology (ICT) from School of Information And Communication Technology, Hanoi University of Science and Technology, Vietnam. My undergrad research thesis is about detecting pills in medical captures, with the support of information from prescriptions under Graph representation (You can find if here if interested).

I am eager to learn, so I am very open to new colaborations. I am currently working in Multimodal Learning, as well as Time Series Analysis. Please drop me a message if you are interested in a collaboration. Here is my CV for more details.

Experience

Before entering UIUCC, I spent a gap year working at a Smart Health Center, founded under the cooporation of Vin University and University of Illinois Urbana - Champaign. My work here involve developing ML/DL frameworks for time series, multi modalities data, with major appication to Healthcare domain.

During my undergrad, from 2020 to 2022, I worked in Naver-SoICT laboratory, Hanoi University of Science and Technology. My works there centered around two projects: the first was about air quality monitoring and forecasting with actual sensor devices, the second was about personal health monitoring with actual mobile application and deep learning-driven tools.

Honours and Awards

Below are some awards I received, more details can be found in my CV:

  • The second prize in the National Science and Technology Awards for Students in Higher Education Institutions 2022: Winning the second prize with the paper entitled “Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs.”
  • Top 5 AI Solutions in AI Awards 2022: Being one of 5 best AI solutions in AI Awards 2022 - Vietnam AI Day 2022, held by VNExpress newspaper in colabration with AI4VN organization with solution: “VAIPE: Protective healthcare monitoring and supporting system for Vietnamese”
  • The first prize in SoICT-IBM-Hackathon 2021: Winning the first prize in Call For Code Track of SoICT-IBM-Hackathon 2021 with the project entitled “A platform for forecasting floods based on sensor system, applying deep neural network.”

Publications

Below are some of my publications, more details can be found in my CV:

  • High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion: Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen. PLOS ONE 2023.
  • Attentional Ensemble Model for Accurate Discharge and Water Level Prediction with Training Data Enhancement: Anh Duy Nguyen, Duc Viet Hoang, Thuy Dung Nguyen, Viet Hung Vu, Kien Nguyen, Phi Le Nguyen, Yusheng Ji. EAAI 2023.
  • Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach: Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen. arXiv preprint, 2023.
  • Accurate Discharge and Water Level Forecasting Using Ensemble Learning with Genetic Algorithm and Singular Spectrum Analysis-based Denoising: Anh Duy Nguyen, Phi Le Nguyen, Viet Hung Vu, Quoc Viet Pham, Viet Huy Nguyen, Minh Hieu Nguyen, Thanh Hung Nguyen, Kien Nguyen. Nature Scientific Reports 2022.