Victor Tran, Ph.D.
Victor Tran, Ph.D.
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Senior AI Engineer
Australian Institute for Machine Learning | Higher Education Officer LV8/10
Victor Tran (Viet Tran) is an accomplished AI Researcher with a Ph.D. in Electrical Engineering (GPA 4.19/4.3) and a Master of Science in Automation and Control (GPA 4.0/4.0) from NTUST, complemented by a Bachelor of Science (Honours) in Mechatronics from Grenoble INP, France. He has published 14 international conference papers and 10 journal articles, earning two Best Paper Awards for healthcare research at CACS 2018 and ICSSE 2020. Victor actively contributes to the research community through peer review and session chairing for IEEE SMC and IEEE Transactions on Cybernetics.
Professionally, he has held senior roles at Solomon Robotics Vision, VinBrain, Fossil Group, and the Australian Institute for Machine Learning. His expertise spans computer vision, machine learning, and embedded AI, with a strong focus on autonomous systems, wearable health technologies, and real-time sensor fusion. Victor is passionate about bridging academic research with practical applications, particularly in public-sector innovation, healthcare, and robotics.
Top Skills
Top Skills
AI Skills
Deep learning, computer vision, signal processing, and image processing.
Data analysis, data manipulation, data visualization.
Deep learning frameworks: Keras, Tensorflow, and Pytorch.
CI/CD: Docker, Kubernetes, Jenkins, Ansible, Teleport, Github Action, Gitlab.
MLOPs: Airflow, MLflow, ClearML, DagsHub, DVC, Minio, Prometheus,Grafana.
AWS Services: S3, Sagemaker, EC2, RDS, EKS.
Experience with Linux server, Nvidia edge devices, GPU installation.
Specialized in Computer Vision, cloud‑based and on‑prem MLOps for video analytics, and real‑time streaming solutions across self‑hosted servers and edge devices.
Computer Skills
Proficient in C/C++, Python, Matlab.
Github, Gitlab, BitBucket, DVC.
Docker, Kubernetes, Jenkins, Ansible.
Flask, Fast API, Rest API, MQTT, RabbitMQ.
SQL, Redis, DragonflyDB.
Proficient Windows, Linux OS, shell script.
Mechatronics Skills
Proficient CAD/CAM software: Autocad, Solidworks.
Design printed circuit boards (PCB) using Orcad, Altium.
Master Programming for microcontrollers (PIC, AVR, ARM).
PLC Siemens S7-300.
ROS, State Machine (FlexBe).
Augmented Reality.
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