Dinh Ngoc Minh

Dinh Ngoc Minh

dinh ngoc minh engineering
School: School of Science, Engineering & Technology
Department: Artificial Intelligence
Position: Program Manager / Senior Lecturer
Location: RMIT Saigon South
Email: minh.dinh4@rmit.edu.vn

Minh Ngoc Dinh is a senior lecturer in Computer Science and a program manager for the Master of Artificial Intelligence program at RMIT University, Vietnam. Dr. Minh Ngoc Dinh received a Ph.D. in Computer Science from Monash University, Australia. His research interest is in computational science, High-Performance Computing (HPC), and Artificial Intelligence (AI).

Dr. Dinh’s expertise is developed through his previous positions at Monash University, The University of Queensland, and the Queensland Cyber Infrastructure Foundation. His track record demonstrates an intensive focus on runtime-verification methods, anomaly detection techniques, and Machine Learning techniques to support scientific modeling and Natural Language Processing.

Expand all sections

  • Doctor of Philosophy in Computer Science Monash University, Caulfield Campus. Thesis: “Data-centric parallel debugging technique for petascale computers”
  • Bachelor of Computer Science (First Class Honours) Monash University, Caulfield Campus. Thesis: “A high throughput Grid based environment for real time bio-medical imaging”
  • Graduate Certificate in Higher Education The University of Queensland, St Lucia Campus

  • Software Engineering
  • Computer Science
  • Artificial Intelligence

  • High Performance Computing
  • Distributed Computing and Context Aware Computing
  • Computational Science
  • Artificial Intelligence and Machine Learning 

Advanced Technologies for Social Impact

  • Nguyen, T., & Minh, D. (2021). Applying Machine Learning to predict Hand-Foot-Mouth disease outbreaks in Vietnam. Journal of Health Informatics in Developing Countries, 15(2). Retrieved from https://www.jhidc.org/index.php/jhidc/article/view/300
  • M. N. Dinh, J. Nygate, V. H. M. Tu, and C. L. Thwaites, "New technologies to improve healthcare in low- and middle-income countries: Global Grand Challenges satellite event, Oxford University Clinical Research Unit, Ho Chi Minh City, 17th-18th September 2019," Wellcome Open Research, vol. 5, 2020.
  • R. G. Dwyer, H. A. Campbell, R. D. Pillans, M. E. Watts, B. J. Lyon, S. M. Guru, M. N. Dinh, H. P. Possingham, C. E. Franklin, “Using individual‐based movement information to identify spatial conservation priorities for mobile species”, in Journal of Conservation Biology, 2019.
  • L. M. Bland, T. J. Regan, M. N. Dinh, R. Ferrari, D. A. Keith, R. Lester, D. Mouillot, N. J. Murray, H. A. Nguyen, E. Nicholson, "Using multiple lines of evidence to assess the risk of ecosystem collapse," in Proceedings of The Royal Society B, 2017

HPC and Computational Science

  • M. N. Dinh, D. Abramson, and C. Jin, A. Gontarek, B. Moench, and L. DeRose, "A data-centric framework for debugging highly parallel applications", Journal of Software: Practice and Experience, Volume 45, issue 4, 501-526, 2014.
  • M. N. Dinh, D. Abramson, and C. Jin, "Scalable Relative Debugging", IEEE Transactions on Parallel and Distributed Systems, Volume 25, issue 3, 740-749, 2014
  • M. N. Dinh, C. T. Vo, and D. Abramson, "Tracking scientific simulation using online time-series modelling," in IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Melbourne, Australia, 2020, pp. 202-211

AI and Machine Learning

  • T. Phung, M. N. Dinh, D. Dang-Pham, H. M. T. Van, and C. L. Thwaites, "A Machine Learning-based Approach to Vietnamese Handwritten Medical Record Recognition," in Australasian Conference on Information Systems, Wellington, New Zealand, 2020
  • C. T. Vo, M. N. Dinh, and E. Dimla, "Predicting Phase-field Behavior of Brittle Fracture Model based on LSTM Time Series Forecasting Model," in IEEE International Conference on Research, Innovation and Vision for the Future, Ho Chi Minh City, Vietnam, 2020

  • RMIT Internal Research Grant 2020, In-transit technique for analysing running scientific codes on a Cloud-based HPC system
  • RMIT Thematic Research Fund 2021, Public sentiment in the age of AI and social media: Improving Service Provision Quality in public and private sectors by mining citizens and users’ feedback
  • RMIT Internal Research Grant 2022, A forecasting machine learning pipeline for phase-field modeling of mixed-mode fracture problems

PhD supervision

  • 2023-current. Argument-Aware and Quantitative Opinion Summarization using graph-based and attention-based mechanism
  • 2023-current. Electrocardiogram-based Explainable Artificial Intelligence in a Clinical Decision Support System for Diabetic Kidney Disease Screening

Master by research supervision

  • 2023-current. Action Recommendation using Vietnamese online reviews

  • Doctoral Medal, Award to the PhD candidate who demonstrate research excellence, Monash University, Australia
  • Postgraduate Publications Award, Monash University
  • Australian Postgraduate Awards (APA/Industrial), Monash University, Australia
  • Outstanding Scholastic Achievement and Excellence, Golden Key International Honour Society, Monash University Chapter, Australia
  • Sir John Monash International Deans Scholar Award, Monash University, Faculty of Information Technology

  • Redflex Traffic Systems Inc.
  • Leica Microsystems
  • Cray Inc.

  • 2021-Present: RMIT Vietnam Senior Lecturer, Software Engineering
  • 2019-2021: RMIT Vietnam Lecturer, Software Engineering
  • 2017-2019: The University of Queensland Lecturer, School of Information Technology and Electrical Engineering
  • 2014-2019: The University of Queensland Research Fellow, Research Computing Centre (RCC)
  • 2014-2019: Queensland Cyber Infrastructure Foundation (QCIF) eResearch Analyst
  • 2012-2014: Monash University Research Fellow
  • 2008-2012: Monash University Teaching Associate
  • 2007-2009: Monash University Research Assistant
  • 2005-2007: Redflex Traffic Systems Inc. Software Engineer