About Me

Who Am I?

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.

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, IL, USA

June 2020 - Now

Ph.D. Candidate in Electrical and Computer Engineering Program

GPA: 4.0/4.0

UNIVERSITY OF SCIENCE – VNU-HCM, Ho Chi Minh City, Vietnam

2015-2019

Bachelor of Science – Honors Program

GPA: 9.25/10.0 (Top 2/600 – Degree Class: Excellent)

Experience

Working Experience

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).
Projects

On-going Projects

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

Publication

Selected Publications

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

[Project Page]   [Paper]

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

[Paper]

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

[Project Page]   [Paper]

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)

[Project Page]   [Paper]

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

[Paper]

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]