Victor Tran

Victor Tran

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Dr. Victor (Quoc Viet) is a highly accomplished Machine Learning Engineer with a Ph.D. in Electrical Engineering and a strong record of achievement across both academic research and advanced technological industries. His expertise spans artificial intelligence, computer vision, robotics, and MLOps infrastructure, and he is particularly adept at bridging theoretical innovation with practical, scalable deployment in domains such as healthcare, autonomous systems, and intelligent surveillance.

Throughout his career, Victor has held senior technical and leadership roles, guiding multidisciplinary teams in the development of pioneering AI platforms. His contributions include a patented augmented reality system for robotic guidance and the successful deployment of edge-based safety analytics systems in live environments. He has been honored with two Best Paper Awards at international conferences for his impactful research and continues to support the advancement of the AI community through active reviewer roles with leading scientific journals and technical forums.

🔬 Research Overview

  • Current Role & Focus
    As a Machine Learning Engineer at the University of Adelaide, collaborating with Praetorian Aeronautics, Victor contributes to cutting-edge research in autonomous aerial platforms. His focus includes computer vision, sensor fusion, embedded intelligence, and vision-based multi-object tracking, addressing real-world challenges in surveillance, aviation, and national security.
  • Real-Time Algorithm Development
    Designs and implements deep learning models for real-time inference across diverse hardware architectures, including edge devices, onboard systems, and secure cloud platforms. His work integrates model optimization with MLOps best practices to ensure scalable, production-grade deployment.
  • Advancements in Medical Imaging
    Has developed AI-powered systems for CT/MRI registration, brain tumor segmentation, and coronary artery analysis—accelerating diagnostic precision and clinical workflow automation.
  • Robotic Systems & Augmented Reality
    Engineered AR-enhanced robotic guidance solutions for surgical and industrial domains, merging spatial vision systems with kinematic planning. His contributions include patented technologies deployed in commercial environments.
  • Computer Vision for Biometric Monitoring
    Created innovative video-based systems for non-contact heart rate and blood pressure estimation, utilizing signal processing and facial analytics to support healthcare monitoring.
  • Autonomous Robotics & Multi-Agent Coordination
    Designed vision-centric frameworks for mobile robot navigation, drone coordination, and swarm robotics—leveraging fuzzy logic control, path planning, and sensor fusion.
  • Comprehensive AI Engineering Pipeline
    Proficient in full-stack AI infrastructure, encompassing data annotation workflows, experimentation pipelines, model packaging, CI/CD integration, and large-scale deployment using Kubernetes, Triton, and edge-cloud synergy.

  • Journals
    Year Citation
    2025 Tran, Q. V. (2025). Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images. Diagnostics.
    DOI
    2024 Thanh Phuc, P., Nguyen, P. -A., Nguyen, N. N., Hsu, M. -H., Le, N. Q. K., Tran, Q. -V., . . . Hsu, J. C. (2024). Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.. Journal of medical Internet research, 26, e52107.
    DOI
    2022 Tran, M. Q., Liu, M. K., Tran, Q. V., & Nguyen, T. K. (2022). Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors. IEEE Transactions on Instrumentation and Measurement, 71, 13 pages.
    DOI Scopus106
    2022 Le, T. -S., Tran, Q. -V., Nguyen, X. -L., & Lin, C. -Y. (2022). Solpen: An Accurate 6-DOF Positioning Tool for Vision-Guided Robotics. ELECTRONICS, 11(4), 18 pages.
    DOI
    2021 Mushtaq, Z., Su, S. -F., & Quoc-Viet, T. (2021). Spectral images based environmental sound classification using CNN with meaningful data augmentation. APPLIED ACOUSTICS, 172, 15 pages.
    DOI
    2021 Wang, C. -H., Nguyen, P. A., (Jack) Li, Y. C., Islam, M. M., Poly, T. N., Tran, Q. -V., . . . Yang, H. -C. (2021). Improved diagnosis-medication association mining to reduce pseudo-associations. Computer Methods and Programs in Biomedicine, 207, 106181.
    DOI
    2021 Tran, Q. V., Su, S. F., Sun, W., & Tran, M. Q. (2021). Adaptive Pulsatile Plane for Robust Noncontact Heart Rate Monitoring. IEEE Transactions on Systems Man and Cybernetics Systems, 51(9), 5587-5599.
    DOI Scopus17
    2020 Tran, M. -Q., Liu, M. -K., & Tran, Q. -V. (2020). Milling chatter detection using scalogram and deep convolutional neural network. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 107(3-4), 1505-1516.
    DOI
    2020 Tran, Q. -V., Su, S. -F., & Nguyen, V. -T. (2020). Pyramidal Lucas-Kanade-Based Noncontact Breath Motion Detection. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 50(7), 2659-2670.
    DOI
    2020 Cao, M. -T., Tran, Q. -V., Nguyen, N. -M., & Chang, K. -T. (2020). Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources. ADVANCED ENGINEERING INFORMATICS, 46, 21 pages.
    DOI
    2019 Van-Truong, N., Lin, C. -Y., Su, S. -F., & Quoc-Viet, T. (2019). Adaptive Chattering Free Neural Network Based Sliding Mode Control for Trajectory Tracking of Redundant Parallel Manipulators. ASIAN JOURNAL OF CONTROL, 21(2), 908-923.
    DOI
    - Pan, L. -S., Li, C. -W., Su, S. -F., Tay, S. -Y., Tran, Q. -V., & Chan, W. P. (n.d.). Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images. Scientific Reports, 11(1).
    DOI

  • Book Chapters
    Year Citation
    2021 Tran, M. -Q., Liu, M. -K., & Tran, Q. -V. (2021). Analysis of Milling Chatter Vibration Based on Force Signal in Time Domain. In Lecture Notes in Networks and Systems (pp. 192-199). Springer International Publishing.
    DOI

  • Conference Papers
    Year Citation
    2020 Tran, Q. -V., Su, S. -F., Tran, Q. -M., & Truong, V. (2020). Intelligent Non-Invasive Vital Signs Estimation From Image Analysis. In 2020 International Conference on System Science and Engineering (ICSSE) (pp. 1-6). IEEE.
    DOI
    2019 Tran, Q. -V., Su, S. -F., & Tran, M. -Q. (2019). Color Distortion Removal for Heart Rate Monitoring in Fitness Scenario. In 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) (pp. 369-374). IEEE.
    DOI
    2017 Nguyen, V. -T., Lin, C. -Y., Su, S. -F., Nguyen, N. -Q., & Tran, Q. -V. (2017). Adaptive PD networks tracking control with full-state constraints for redundant parallel manipulators. In 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS) (pp. 1-5). IEEE.
    DOI
    2017 Ngoc-Quan, N., Su, S. -F., Quoc-Viet, T., Van-Truong, N., & Jeng, J. -T. (2017). Real Time Human Tracking Using Improved CAM-Shift. In 2017 JOINT 17TH WORLD CONGRESS OF INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND 9TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (IFSA-SCIS) (pp. 5 pages). JAPAN, Otsu City: IEEE.
    DOI
    2017 Van-Truong, N., Lin, C. -Y., Su, S. -F., & Quoe-Viet, T. (2017). Adaptive PID Tracking Control Based Radial Basic Function Networks for a 2-DOF Parallel Manipulator. In 2017 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE) (pp. 309-312). VIETNAM, Ho Chi Minh City: IEEE.
    DOI
    2017 Tran, Q. -V., Su, S. -F., Chuang, C. -C., Nguyen, V. -T., & Nguyen, N. -Q. (2017). Real-time non-contact breath detection from video using adaboost and Lucas-Kanade algorithm. In 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS) (pp. 1-4). IEEE.
    DOI
    2016 Tran, Q. V., Su, S. -F., & Chen, M. -C. (2016). Breath detection for enhancing quality of X-ray image. In 2016 International Conference on System Science and Engineering (ICSSE) (pp. 1-4). IEEE.
    DOI
    2016 Truong, V. N. T., Yang, C. -K., & Quoc-Viet, T. (2016). A Translator for American Sign Language to Text and Speech. In 2016 IEEE 5TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (pp. 2 pages). JAPAN, Kyoto: IEEE.
    DOI

  • Preprint
    Year Citation
    2023 Thanh Phuc, P., Nguyen, P. -A., Nguyen, N. N., Hsu, M. -H., Le, N. Q. K., Tran, Q. -V., . . . Hsu, J. C. (2023). Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach (Preprint).
    DOI
    2020 Tran, Q. -V., Chin, Y. -P., Nguyen, P. -A., Lee, M. -Y., Yang, H. -C., Huang, C. -W., . . . Su, S. -F. (2020). Deep Learning-Based Automated Mole Detection: An Algorithm with Future Implication for Tele-dermatology (Preprint).
    DOI
  • Awarded multiple research grants by Taiwan’s Ministry of Science and Technology (MOST), supporting applied research in artificial intelligence, robotics, and autonomous systems.
  • Received academic funding from the Ministry of Education (MOE) for foundational research in computer vision, embedded systems, and AI-driven healthcare technologies.
  • Secured institutional support through collaborative initiatives with Taipei Medical University, and Swissray Digital X-ray Center, focused on translational research and medical imaging innovation.
  • Participated in industry-sponsored product development programs at Solomon and Customindz, contributing to the design and implementation of augmented reality platforms and intelligent surveillance systems for commercial deployment.

🎓 Teaching Activities

  • Provided technical mentorship to junior engineers, research interns, and cross-functional team members across multiple AI and robotics projects.
  • Led internal workshops and knowledge-sharing sessions focused on MLOps workflows, deep learning techniques, and computer vision deployment strategies.
  • Supervised academic-industry collaboration tasks, including data annotation pipelines, model evaluation studies, and system integration activities.
  • Delivered project-based guidance on practical applications of AI in healthcare, embedded systems, and autonomous robotics.
  • Contributed to curriculum development for internal AI onboarding programs, facilitating structured learning pathways for new engineers.
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