Hi I'm Trung Hieu HOANG. I am currently a Ph.D. candidate at the University of Illinois at Urbana Champaign. My research advisor is Prof. Minh N. Do. I am currently interested in computer vision, deep learning, AI in healthcare, and medical image processing problems. Prior to UIUC, I obtained my bachelor's degree at the University of Science, VNU-HCM under the supervision of Prof. Minh-Triet Tran.
June 2020 - Now
Ph.D. Candidate in Electrical and Computer Engineering Program
GPA: 4.0/4.0
2015-2019
Bachelor of Science – Honors Program
GPA: 9.25/10.0 (Top 2/600 – Degree Class: Excellent)
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.
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.
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.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).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.
Persistent Test-time Adaptation in Episodic Testing Scenarios
People: Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do
Digital Neurological Examination (DNE) System
People: Trung-Hieu Hoang*, Mona Zehni*, Huajin Xu, George Heintz, Christopher Zallek, Minh N. Do
[Abstract from the 8th Health Care Engineering Systems Symposium]
Smartphone-based Point-of-care Viral Pathogens Detection
People: Trung-Hieu Hoang*, Aaron M. Jankelow*, Hankeun Lee*, Weijing Wang*, Rashid Bashir, Enrique Valera, Minh N. Do, Brian T. Cunningham
Check out my Google Scholar!
Trung-Hieu Hoang*, Mona Zehni*, Huajin Xu, George Heintz, Christopher Zallek, Minh N. Do. Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination. IEEE Journal of Biomedical and Health Informatics
Trung-Hieu Hoang*, Aaron M. Jankelow*, Hankeun Lee*, Weijing Wang*, Amanda Bacon, Fu Sun, Seol Chae, Victoria Kindratenko, Katherine Koprowski, Robert A Stavins, Dylann D Ceriani, Zachary W Engelder, William P King, Minh N Do, Rashid Bashir, Enrique Valera, Brian T Cunningham. Smartphone clip-on instrument and microfluidic processor for rapid sample-to-answer detection of Zika virus in whole blood using spatial RT-LAMP. Analyst
Trung-Hieu Hoang, Mona Zehni, Huy Phan, Duc Minh Vo, Minh N. Do Robust 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) on Fair, Data-Efficient, and Trusted Computer Vision 2024
Minh-Triet Tran, Tam V Nguyen, Trung-Hieu Hoang et al. iTASK-Intelligent Traffic Analysis Software Kit. Computer Vision and Pattern Recognition workshops (CVPRW) 2020
Trung-Hieu Hoang, Hai-Dang Nguyen, Viet-Anh Nguyen, Thanh-An Nguyen, Vinh-Tiep Nguyen, Minh-Triet Tran. Enhancing Endoscopic Image Classification with Symptom Localization and Data Augmentation. In proceeding of ACM Multimedia 2019 (ACMM'19)
Khac-Tuan Nguyen, Trung-Hieu Hoang, Minh-Triet Tran, Ngoc-Minh Bui, Trong-Le Do, Viet-Khoa Vo-Ho, Quoc-An Luong, Mai-Khiem Tran, Thanh-An Nguyen, Thanh-Dat Truong, Vinh-Tiep Nguyen, Trung-Nghia Le, and Minh N. Do. Vehicle Re-identification with Learned Representation and Spatial Verification and Abnormality Detection with Multi-Adaptive Vehicle Detectors for Traffic Video Analysis. Computer Vision and Pattern Recognition workshops (CVPRW) 2019
Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, That-Vinh Ton, Trung-Hieu Hoang, Ngoc-Minh Bui, Trong-Le Do, Quoc-An Luong, Vinh-Tiep Nguyen, Duc Anh Duong, Minh N. Do. Guided Instance Segmentation Framework for Semi-supervised Video Instance Segmentation. Computer Vision and Pattern Recognition workshops (CVPRW) 2019
[Paper]
Trung-Hieu Hoang, Mai-Khiem Tran, Vinh-Tiep Nguyen, Minh-Triet Tran ImageCLEF - Multimedia Retrieval in CLEF 2019
[Paper]