Summary
Overview
Work History
Education
Skills
Websites
References
Hobbies and Interests
Projects
Languages
Publications Research
Languages
References
Timeline
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Htoo Wai Aung

Sydney,Australia

Summary

Data Scientist and Machine Learning Researcher with expertise in Graph Neural Networks (GNNs), Reinforcement Learning (RL), and Brain-Computer Interface (BCI) applications. Ph.D. in Machine Learning with extensive experience in developing AI-driven solutions for EEG signal classification, economic forecasting, and causal inference. Passionate about leveraging machine learning to uncover insights in complex systems and optimise decision-making processes.

Overview

10
10
years of professional experience

Work History

Lead Electronic Lab Demonstrator & Tutor

University of Technology, Sydney
07.2022 - Current
  • Led and mentored students in electronic circuit design and laboratory experiments
  • Provided hands-on guidance for undergraduate students in electronic systems and circuit analysis
  • Assisted in grading, troubleshooting circuits, and explaining theoretical concepts in practical settings

Project Executive Engineer

Shwe Taung Group
06.2019 - 06.2021
  • Company Overview: Solar Energy Department
  • Designed data-driven solar PV system optimizations, improving efficiency by 15%
  • Developed predictive models to forecast solar power generation and energy demand
  • Analysed large datasets to optimise project budgeting and decision-making
  • Solar Energy Department

Intern

DW Windsor
08.2018 - 01.2019
  • Company Overview: UK
  • Designed an advanced LED Retrofit Calculator using Python and SQL
  • Conducted data analysis on luminaire testing results to optimize lighting efficiency
  • Assisted in engineering tasks related to LED lighting technology and product development
  • UK

Electrical Engineer (Power & Distribution Systems)

Pomelo Consulting Pty Ltd
Sydney, Australia
07.2015 - 07.2017
  • Company Overview: Sydney
  • Designed electrical distribution systems and performed engineering calculations
  • Managed tenders, cost estimations, and liaised with stakeholders for compliance
  • Assisted in business and administrative tasks related to engineering consulting
  • Sydney

Education

Doctor of Philosophy - Machine Learning

University of Technology Sydney
Sydney
03.2025

Master of Science - Light and Lighting

University College London
London
08.2018

Bachelor of Engineering - Electrical

University of Technology Sydney
Sydney
12.2016

Skills

  • Python
  • SQL
  • MATLAB
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • Graph Neural Networks
  • Convolutional Neural Networks
  • Reinforcement Learning
  • Natural Language Processing
  • Matplotlib
  • Seaborn
  • Tableau
  • AWS
  • Google Cloud
  • PostgreSQL
  • MySQL
  • Hypothesis Testing
  • Bayesian Inference
  • Causal Inference

References

Available upon request.

Hobbies and Interests

  • AI & Machine Learning Research
  • Brain-Computer Interface (BCI) Applications
  • Economic Forecasting with GNNs

Projects

EEG_GLT-Net – Developed an optimised EEG classification model using Graph Neural Networks (GNNs) and reinforcement learning. EEG_RL-Net – Applied reinforcement learning to EEG Motor Imagery classification, improving accuracy and real-time performance. Economic Graph Lottery Ticket (EGLT) – Built a GNN-based model for economic forecasting, outperforming traditional econometric models. Temporal Causal Inference in Economic Indicators – Applied Peter-Clarke algorithms to uncover causal interrelationships in economic data.

Languages

  • English, Fluent
  • Burmese, Native

Publications Research

  • EEG_GLT-Net: Optimising EEG Graphs for Real-Time Motor Imagery Signals Classification, H. W. Aung, J. J. Li, B. Shi, Y. An, S. W. Su, Biomedical Signal Processing and Control, 2025
  • A Real-Time Framework for EEG Signal Decoding with Graph Neural Networks and Reinforcement Learning, H. W. Aung, J. J. Li, Y. An, S. W. Su, IEEE Transactions on Neural Networks and Learning Systems, 2025
  • Enhancing EEG Motor Imagery Time Point Signal Classification Through Reinforcement Learning and Graph Neural Networks, H. W. Aung, J. J. Li, Y. An, S. W. Su, ICMLA, 2024
  • Economic Graph Lottery Ticket: A GNN-Based Economic Forecasting Model, H. W. Aung, Y. Guo, Z. Zhu, J. Li, G. Lee, Springer AJACI, 2024
  • Revealing Economic Relationship Structures through Causal Inference: A Data-Driven Approach, H. W. Aung, Y. Guo, Z. Zhu, J. Li, G. Lee, Journal of Economic Dynamics and Control, 2024
  • Uncover Temporal Causal Interrelationships Between Key Economic Indicators Through Peter-Clarke Algorithms, H. W. Aung, Y. Guo, Z. Zhu, J. Li, G. Lee

Languages

English
Full Professional
Burmese
Native/ Bilingual

References

References available upon request.

Timeline

Lead Electronic Lab Demonstrator & Tutor

University of Technology, Sydney
07.2022 - Current

Project Executive Engineer

Shwe Taung Group
06.2019 - 06.2021

Intern

DW Windsor
08.2018 - 01.2019

Electrical Engineer (Power & Distribution Systems)

Pomelo Consulting Pty Ltd
07.2015 - 07.2017

Doctor of Philosophy - Machine Learning

University of Technology Sydney

Master of Science - Light and Lighting

University College London

Bachelor of Engineering - Electrical

University of Technology Sydney
Htoo Wai Aung