Hue Dinh
Hue Dinh

Hue Dinh

AI Research Associate II at Conrad Blucher Institute for Surveying & Science

About me

I am Hue Dinh, an AI Researcher, a Software Engineer, and a traveler. I am currently working on Machine Learning and Deep Learning Application for Environmental Science in iCore Lab and CBI at Texas A&M Corpus Christi. I am a Graduate Research Assistant sponsored by NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) to develop a deep neural networks model for coastal fog prediction in the Corpus Christi Area

Previously, I was with Intertek Vietnam Ltd and Mitsubishi Elevator Vietnam Co., Ltd. I graduated from Chonnam National University, South Korea with a master's degree in Environment and Energy Engineering and a Bachelor's at Vietnam National University - University of Science. In my free time, I enjoy reading and traveling.

Experienced Master with a demonstrated history of working in the mechanical or industrial engineering industry. Skilled in Event Management, Inspection, Microsoft Office, Risk Assessment, and Training. Strong engineering professional with a Master’s Degree focused in Environment and Energy Engineering from Chonnam National University.

Education

MASTER OF SCIENCE (MS)

Texas A&M University-Corpus Christi, Computer Science

Jan 2019 - May 2021

Achievement: President's List

MASTER OF ENGINEERING (ME)

Chonnam National University, Environment and Energy Engineering

Sep 2014 - Aug 2016

Achievement: Scholarship for Excellent Graduate Student

BACHELOR OF SCIENCE (BS)

Vietnam National University - Ho Chi Minh City- University of Science, Environmental Technology

Sep 2009 - Nov 2013

Achievement: Top 10% (7.36/10)

Work Experience

AI Research Associate II

Conrad Blucher Institute for Surveying & Science

Texas, United States

Jun 2021 - Present

Descriptions

  • Developed operational Machine Learning models for Thunderstorm and Fog Prediction using 10TB unstructured data.

  • Built a data pipeline to cleanse and wrangle data online via AWS.

  • Technologies: Python and SQL.

Graduate Research Assistant

Texas A&M University-Corpus Christi

Texas, United States

Jun 2019 - May 2021

Descriptions

  • Developed deep learning (Variational Autoencoders) models to predict fog using 4TB unstructured meteorological data in high-performance computing Linux cluster, which generated higher skillful prediction than the ensemble prediction system of National Weather Service and sped up 10X through GPU processing.

  • Built a pipeline to cleanse and wrangle meteorological data to visualize and classify visibility level

  • Technologies: Python, R and SQL.

Technical Consultant

Intertek Vietnam Ltd.

Ho Chi Minh, Vietnam

Nov 2016 - Jan 2019

Descriptions

  • Managed quality assurance and testing data for clients via ETL system

  • Managed testing protocols and data of global clients of American and European retailers using LIMS system

Graduate Research Assistant

Chonnam National University

Gwangju, South Korea

Sep 2014 - Aug 2016

Descriptions

Description in here!!!

Personal Projects

Explainable AI models

Jan 2021 - May 2021

Description

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Webpage for Online Ordering Foods

May 2020 - Jul 2020

Description

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Image Caption Generator

Jan 2020 - May 2020

Description

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Skills

Programming Languagues

  • Python, C/C++, C#
  • JavaScript, HTML, CSS, SCSS
  • SQL, R
  • MATLAB

Machine Learning

  • TensorFlow
  • PyTorch
  • Python
  • Keras
  • Scikit-learn
  • OpenCV
  • NumPy
  • Pandas
  • Matplotlib, Seaborn

Data Science

  • Data Pipeline: Cleansing, Wrangling, Visualization, Modeling, and Interpretation
  • Experimental Design

Development Software

  • Visual Studio, Anaconda, RStudio
  • AWS, Azure
  • Git, GitHub, GitLab
  • Docker, Kubernetes
  • Unity

Contact