Trong N. Nguyen's Resume

Trong N. Nguyen

Research engineer focused on medical imaging, machine learning and augmented reality applications

Ho Chi Minh City, Vietnam

About

As a PHD Research Scientist, I have expertise in medical imaging research, especially ultrasound. My work spans machine learning, augmented reality visualization, signal processing, and translational clinical applications. I aim to bring cutting-edge imaging techniques from the lab to improve patient care. I have over 8 years experience working on interdisciplinary projects bridging medicine and engineering.

Work Experience

AusculTech Dx

2021 - now

Research Engineer

Developing SwiftUI end-user app for strep throat classification. Deploy the backend classification model. Developed real-time GUI for fetalECG detection. Developed machine learning models for early detection of asthma.

Children's National Hospital

2019 - 2021

Staff Scientist

Developed augmented reality systems for ultrasound-guided procedures using HoloLens. Created machine learning models for early detection of asthma. Worked on AR for laparoscopic surgery and fusion software for 3D medical images.

IGI Medical Technologies

2019 - 2021

Research Engineer

Developing and enhancing image registration algorithms: Working on the IGTFusion System to improve the automatic alignment of 3D medical images from various modalities, such as CT, PET, and MR.

University of Illinois at Urbana-Champaign

2011 - 2019

PhD Candidate, Research Assistant

Developed machine learning methods for in vivo liver disease classification with ultrasound. Analyzed convolutional neural networks for ultrasonic tissue characterization. Pioneered passive ultrasound beam mapping techniques.

Avaz Inc

2015 - 2016

Research and Development Engineer

Sole engineer developing real-time ultrasound system to detect nerves during spinal surgery. Implemented B-mode and RF spectrum analysis algorithms in C++. Validated on animal models, cadavers and in live surgeries.

Education

University of Illinois at Urbana-Champaign

2015 - 2019
Ph.D in Electrical and Computer Engineering

University of Illinois at Urbana-Champaign

2011 - 2014
M.S. in Electrical and Computer Engineering

Skills

  • Medical Imaging
  • Ultrasound
  • Machine Learning
  • Augmented Reality
  • Image Processing
  • Clinical Translation
  • C++/Python Programming
  • JavaScript

Publications

Nguyen, T., Plishker, W., Matisoff, A., Sharma, K., & Shekhar, R.
International Journal of Computer Assisted Radiology and Surgery (2022)
Nguyen, T. N., Podkowa, A. S., Tam, A. Y., Arnold, E. C., Miller, R. J., Park, T. H., Oelze, M. L
Ultrasound in Medicine & Biology (2020)
Nguyen, T. N., Podkowa, A. S., Park, T. H., Miller, R. J., Do, M. N., & Oelze, M. L.
Ultrasound in Medicine & Biology (2021)
Nguyen, T. N., Do, M. N., & Oelze, M. L.
IEEE Transactions on Medical Imaging (2018)

Projects

HoloUS

AR system overlaying live ultrasound on patient using HoloLens for intuitive image guidance

  • Augmented Reality
  • HoloLens
  • Ultrasound
  • Image-Guided Procedures

Early Asthma Detection

Deep learning model to detect early signs of asthma from lung sounds recorded by digital stethoscope

  • Machine Learning
  • Digital Stethoscope
  • Respiratory Sounds

StrepApp

Deep learning model to detect strep throat from mobile camera images

  • Machine Learning
  • Image Processing

LapAR

Conducted 12 human trial laparoscopic surgery using augmented reality ultrasound system

  • Ultrasound visualization
  • Clincal Translation
  • Image registration

Liver Disease Classification

Convolutional neural network to diagnose fatty liver from quantitative ultrasound data

  • Machine Learning
  • Ultrasound Imaging
  • Tissue Characterization

Ultrasound Beam Mapping

Novel technique to passively visualize an ultrasound beam in situ, enabling treatment monitoring

  • Ultrasound
  • Image Formation
  • High-Intensity Focused Ultrasound

Nerve Detection for Spine Surgery

Ultrasound-based system to detect and track nerves in real-time during spinal procedures

  • Ultrasound
  • Image Processing
  • Real-Time Systems