Rate My Professor Minh Nguyen

Professor Minh Nguyen is Professor and Head of the Department of Computer and Information Sciences in the School of Engineering, Computer and Mathematical Sciences at Auckland University of Technology. He holds a PhD in Computer Science specializing in Computer Vision from the University of Auckland, completed in 2014, and a Master of Science in Computer Science with a focus on Computer Vision. Recognized as a Fellow of the Higher Education Academy (FHEA) and a Member of the Institute of IT Professionals (MIITP), Professor Nguyen exemplifies excellence in teaching and professional IT practice. His career trajectory at AUT includes promotion to full Professor, following his tenure as Associate Professor, and leadership roles such as Deputy Director of the Centre for Robotics and Vision (CeRV). He has successfully obtained research grants, including a PhD scholarship valued at NZ$91,500 to support doctoral research.

Professor Nguyen's academic interests center on computer and robot vision, image processing, and virtual and augmented reality applications for educational and medical purposes. With over 100 publications across journals, book chapters, and international conferences, his contributions have advanced deep learning applications in diverse domains. Key publications include 'Decoding a decade: The evolution of artificial intelligence research themes' (2024, Automation in Construction), 'A Unified Efficient Deep Learning Architecture for Rapid COVID-19 Detection' (2023, Diagnostics), 'Small Visual Object Detection in Smart Waste Management' (2022, HCI International), 'The Improved Framework for Traffic Sign Recognition Using Transfer Learning' (2022, SN Computer Science), and leadership in developing a new model for accurately detecting AI-generated text (2025). His research impacts fields such as medical diagnostics, environmental monitoring, traffic safety, and AI integrity. Professor Nguyen also engages in professional service, including serving as program chair for the International Symposium on Geometry and Vision, supervising PhD students, and teaching courses in problem-solving and computer science fundamentals.