Thanh Tung Vu

Data Scientist/Research Fellow with a PhD in Electrical Engineering, specializing in Applied Optimisation and Machine Learning.

Who Am I?

Hi, I’m Thanh Tung!

I’m a Data Scientist/Research Fellow, living in Sydney, Australia.

I work in a research team at Macquarie University, where I help build optimisation and machine learning models to improve the performance of mobile communication networks. The main areas I specialise in are predicting (information of wireless medium), combinatorial optimisation (deciding which user should be served, when a user is served, and how much network resource (time, power) to serve a user).

I have a wide range of experience, including:

  • Used Deep Neural Networks (DNN) to predict information of wireless medium
  • Appylied Convolutional Neural Networks (CNN) to schedule users and network resource to improve improve the performance of mobile communication networks
  • Developed and deployed advanced optimisation algorithms to generate optimal solutions (to challenging non-convex problem non-convex constrained problems), which are used as data for learing to optimize the performance of mobile communication networks
  • Built supervised learning models using XGBoost, Linear Regression, Random Forest, to solve real-world problems (e.g., smart crop selection in farming, user default prediction in banking)

Technical Skills

  • Proficient:
    • Classical Machine Learning (ML): Linear/Logistic Regression, XGBoost, LightGBM, KNN, SVM
    • Deep Learning (DNN, CNN), Federated Learning
    • Optimization methods for solving constrained mix-integer and nonconvex / stochastic problems
    • Python (Pandas, Numpy, Scikit-Learn, Matplotlib), Matlab, SQL
    • Optimization tools (CVX, Mosek)
  • Familiar with:
    • Large Language Models (LLM), Generative AI, Reinforcement Learning
    • ML Tools (Keras, Pytorch, Gymnaslum, PySpark)
    • ML in production: Git, DVC, MLFlow, NannyML, AWS

Experience

  • Research Fellow at Macquarie University (Jul. 2023 - present), Sydney, Australia
  • Research Fellow at Linköping University (Oct. 2022 - Jun. 2023), Linköping, Sweden
  • Research Fellow at Queen’s University Belfast (Feb. 2021 - Sep. 2022), Belfast, U.K.

Education

  • PhD in Electrical Engineering (2021), specialized in Wireless Communications, The University of Newcastle, Australia
  • MEng in Electrical Engineering (2016), specialized in Wireless Communications, Ho Chi Minh City University of Technology, Vietnam
  • MEng in Electronics and Telecommunications (2016), Ho Chi Minh City University of Science, Vietnam

Interests

I have passion for sciences, data science, technology (ML and AI), and soccer.