Trung-Hieu Hoang

Biography

Trung-Hieu Hoang is currently a Ph.D. candidate in Electrical and Computer Engineering at the University of Illinois at Urbana Champaign (UIUC) where he is working with Prof. Minh N. Do. Prior to UIUC, he obtained his B.Sc. degree (honors program) at the University of Science, VNU-HCM under the supervision of Prof. Minh-Triet Tran. His research focuses on developing computer vision (CV) and machine learning (ML) for AI in healthcare. This spans two directions: 1) making the ML model robust under test-time distribution shifts, via test-time adaptation and 2) developing novel CV/ML algorithms to advance machine vision perception in telehealth applications (e.g., detecting neurological disorders from videos, biosensors image processing, etc.). He was honored to receive the Best Paper Award at the 1^st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT) in CVPR 2024, and the 2024 CSL-Instarecon Innovation Scholarship.

News

[Dec 2024] One paper has been accepted to Computational and Structural Biotechnology Journal.

[Oct 2024] One short-paper has been accepted to NeurIPS 2024 Workshop on Self-Supervised Learning. I am also selected to be a student volunteer at NeurIPS 2024.

[Sep 2024] One paper has been accepted to NeurIPS 2024 (Rank A*). See you in Vancouver!

[Sep 2024] I am thrilled to receive 2024-2025 CSL - Instarecon Innovation Scholarship. Cheers!

[Aug 2024] Presenting (oral) the Digitized Neurological Examination project at ASB 2024, Madison, WI. Checkout our abstract here.

[Jul 2024] One paper has been accepted to IEEE-Journal of Biomedical and Health Informatics (Q1, IF=7.7).

[Jun 2024] Receiving the Best Paper Award (community track) at the 1st Workshop on Test-Time Adaptation: Model, Adapt Thyself! (MAT), CVPR 2024, Seattle, WA.

[Jun 2024] Starting my internship at MPI Lab, Samsung Research America.

[May 2024] Pass my ECE Ph.D. Preliminary Examination.

[May 2024] One paper has been accepted to CVPR 2024 Workshop.

[Apr 2024] Receiving the 2nd place poster contest at Illinois AI and Health Summit: Healthy Aging of Brain, Chicago, IL. Checkout the news here.

[Aug 2023] I am excited to be a Mavis Future Faculty fellow, cohort 2023-2024!

[Jun 2023] Starting my internship at Vinmec Motion Analysis Laboratory.

[Sep 2022] One paper has been accepted to Analyst (IF=4.2).

[Jun 2022] Starting my internship at Argonne National Laboratory.

[May 2022] Pass my ECE Ph.D. Qualifying Examination.

[Apr 2022] One paper has been accepted to IEEE-Journal of Biomedical and Health Informatics (Q1, IF=7.7).

Samsung Research America, TX, USA June 2024 – September 2024

Student Internship at Mobile Processor Innovation Lab

Designing deep neural network architecture for multi-frame image processing algorithm.

Argonne National Laboratory, IL, USA June 2022 – September 2022

Student Internship at Data Science Learning Division

Enhancing the capabilities of APPFL: Argonne Privacy-Preserving Federated Learning framework, and conducting federated learning experiments in various biomedical tasks collaboratively across multiple research institutes.

College of Engineering and Computer Science, VinUniversity, Vietnam January 2021 – May 2021

Teaching Assistant

I was in charge of supervising the lab section and designing the courses programming assignments in Python for CECS1020 - Introduction to Machine Learning by Prof. Minh N. Do, Spring 2021 semester.

Computational Imaging Group, ECE, CSL, University of Illinois at Urbana-Champaign, IL, USA Aug 2019 – Nov 2019

Student Internship | Advisor: Prof. Minh N. Do

We proposed and implemented the Digitized Neurological Examination (DNE) system to collect, visualize, annotate, and quantify digital biomarkers from neurological exam video recordings obtained by multiple sensors, including 3D cameras, smartphones/tablets, and wearable sensors.

Multimedia and Human Computer Interaction Group, SELab, University of Science, VNU-HCM June 2018 - September 2019

Research Assistant | Advisor: Prof. Minh-Triet Tran

We proposed and implemented a diagnostic support system that can help doctors to find diseases, abnormal marks, anatomical landmarks in human gastrointestinal tract. We also participated in several projects in computer vision and machine learning (Intelligence Traffic System - AI City challenge, Video Instance Segmentation – the DAVIS challenge (CVPRW); Life-logging).

Robotics & IoT Club, Artifical Intelligence Lab, University of Science, VNU-HCM June 2017 - September 2019

Research Assistant | Advisor: MSc. Xuan-Nam Cao, Prof. Minh-Triet Tran

I served as an instructor at several introductory-level courses in Python programming, and IoT. I also developed a mixed-reality virtual laboratory application for learning chemistry in high school.