Mr. Nguyen Quoc Minh holds advanced degrees in Electrical and Computer Engineering from Purdue University, complemented by strong technical proficiency across multiple programming environments and specialized certifications.
- Doctor of Philosophy (PhD) – Electrical and Computer Engineering, completed at Purdue University, West Lafayette, IN, USA (2015)
- Master of Science (M.S.) – Electrical and Computer Engineering, completed at Purdue University, West Lafayette, IN, USA (2011)
- Bachelor of Engineering (B.E.) – Electrical and Electronics Engineering, completed at HCMC University of Technology/DH Bach Khoa, DHQG, Ho Chi Minh City, Vietnam (2009). Graduated as a Silver medalist/Summa Cum Laude with a GPA of 8.50/10.00
Teaching Experience and Quality Management
Ms. Nguyen transitioned from a decade-long industry career to academia, currently serving as a Lecturer and holding a leadership position in Artificial Intelligence education.
Current Academic Roles
- Lecturer and Head of Artificial Intelligence (Apr 2024 – Now) at the Faculty of Information Technology, University of Economics and Finance (UEF), HCMC, Vietnam.
- Adjunct Lecturer (Sep 2024 – Now) at Hoa Sen University (HSU), HCMC, Vietnam.
- Previously served as a Teaching Assistant at Purdue University (2012–2015).
Courses Taught (in English)
His teaching portfolio focuses on core computer science, data science, and advanced artificial intelligence topics:
- Artificial Intelligence
- Machine Learning
- Graph Theory
- Desktop Application Development using C#
- Object-Oriented Programming in Java
- Fundamentals of Information Technology
- Data Analytics (Python)
- Data Visualization (Python)
Quality Management and Leadership
As the Head of Artificial Intelligence at UEF, he demonstrates a leadership role in managing and potentially developing the curriculum for AI programs. His industry background included significant work in quality assurance and troubleshooting, and his dissertation focused on Perceptual Metrics, Visualization Tools, and Machine-Learning-Based Quality Prediction, skills highly transferable to academic quality management.
Research and Achievements
Mr. Nguyen has 8 years of hands-on industry experience as a Software Engineer at major corporations (Hewlett-Packard and Hitachi America) and startups in the U.S. and Canada. His achievements span both academic research in imaging science and practical application in software and computer vision.
Academic Research (Purdue University)
His PhD dissertation was titled: “Perceptual Metrics, Visualization Tools, and Machine-Learning-Based Quality Prediction for Evaluation of Page Uniformity”. His advisor was the Hewlett-Packard Distinguished Professor Jan P. Allebach.
Key Publications
His published research, presented in the Proceedings of SPIE, focused on applying machine learning and computer vision to evaluate and predict print quality:
- Feature ranking and selection used in a machine learning framework for predicting uniformity of printed pages (2017).
- Research on Real-time print quality diagnostics (2017).
- Work on Controlling misses and false alarms in a machine learning framework for predicting uniformity of printed pages (2015).
- Development of Perceptual metrics and visualization tools for evaluation of page uniformity (2014).
Industry Achievements and Technical Development
- Apryse Software Inc. (Core Software Engineer): Served as a core developer responsible for devops, automation, API development, software upgrades, quality assurance, performance improvement, troubleshooting, and building and testing.
- Duos Technologies (Software Engineer): Designed a real-time panorama stitching system for crossing trains in a Railroad Inspection Portal. He achieved a dramatic performance improvement from 60% to 99% using C++/openCV/winAPI.
- Research Associate (Purdue University): Developed algorithms for real-time Text Fading detection for Hewlett-Packard printers.
- Hitachi America Ltd. (Software Engineering Intern): Designed a computer vision framework to detect potholes on highways using images from vehicle’s stereo cameras (C++, OpenCV).
- Hewlett-Packard (Software Engineering Intern): Designed an algorithm for grain/mottle print defect detection to assess print uniformity
