Dr Minh Nguyen (Academic Advisor)

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Senior Lecturer & Academic Advisor

Phone: +64 9 921 9999 ext 8214

Email: minh.nguyen@aut.ac.nz

Physical Address:
School of Engineering, Computer & Mathematical Sciences, room WS307D,
WS Building, Saint Paul Street, Auckland


ORCID:
ORCID logo  https://orcid.org/0000-0002-2757-8350

Links to relevant web pages:
www.facebook.com/where2go

Qualifications:

  • 2014: Doctor of Philosophy in Computer Science, the University of Auckland, New Zealand.
  • 2009: Master of Science with First class Honours in Computer Science, the University of Auckland, New Zealand.
  • 2007: Bachelor of Science, Major in Computer Science, the University of Auckland, New Zealand.

Memberships and Affiliations:

  • Institute of Electrical and Electronics Engineers (IEEE) & IEEE Vehicular Technology Society
  • Fellow of the Higher Education Academy (FHEA)
  • Member of Centre for Artificial Intelligence Research (CAIR ) - AUT
  • Member of Centre for Robotics & Vision (CeRV) - AUT
  • Member of Intelligent Vision Lab (IVS) - UoA
  • Associate Editor of International Journal of Intelligent Systems Technologies and Applications (IJISTA)

Biography:

Minh Nguyen is an active researcher of the Centre for Robotics & Vision (CeRV) and the Centre for Artificial Intelligence Research (CAIR). He obtained a Master (first class honours) and a PhD degree in Computer Science (Computer Vision), from the University of Auckland. He joined AUT in 2015, and currently a Senior Lecturer and Academic Advisor for the School of Engineering, Computer and Mathematical Science. He is also a Fellow of the Higher Education Academy (UK Professional Standards Framework for teaching and learning support in higher education). His PhD research focused on the computational theory of stereo reconstruction and developed several stereo matching algorithms. This research has featured highly on the Internet through an online computer vision webpage. This system allows users over the Internet to upload two side-by-side images. It returns a 3D representation of the scene. At this stage, he continues to develop practical applications using computer vision and image processing techniques. He has published over 35 quality journals and International conferences and received a number of funding achievements. Minh’s current research interests are in the fields of Computer Vision, Augmented and Virtual Reality, Artificial Intelligence, Internet Programming, Mobile Applications. 


Research Areas:

Computer Vision, Image Processing, Augmented and Virtual Reality, Artificial Intelligence, Internet Programming, Mobile Applications.

Current Research Projects:

  • An Online Platform to Enhance Learning Experiences with Web-based Augmented Reality.
  • Embedding decoded information in the graphical content and potential application domains.
  • Accurate 3D Measurement for Quality Control Program of Large-scaled Production Line.
  • Development of VTK support for Medical Visualization.

Publications:

Publications from 2015 only. 

Ren, Y., Yan, W. -Q., & Nguyen, M. (2018). Real-time Recognition of Series 7 New Zealand Banknotes. International Journal of Digital Crime and Forensics, 10(3), 1-17. doi:10.4018/IJDCF

Wang, I., Nguyen, M., Le, H., & Yan, W. -Q. (2018). Enhancing Visualisation of Anatomical Presentation and Education Using Marker-based Augmented Reality Technology on Web-based Platform. In 2018 15th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) (pp. 43). Auckland, New Zealand: IEEE. Retrieved from https://avss2018.org/assets/AVSS2018-Conference-Handbook.pdf

Le, R., Nguyen, M., & Yan, W. -Q. (2018). CSPM: a Novel Curtain Style Pictorial Marker for Enhancing Augmented Reality Experiences. In IEEE IVCNZ 2018 - Accepted Papers. Auckland, New Zealand: IEEE. Retrieved from http://ivcnz2018.massey.ac.nz/accepted-papers/

Ren, Y., Nguyen, M., & Yan, W. Q. (2018). Real-time recognition of series seven New Zealand banknotes. International Journal of Digital Crime and Forensics, 10(3), 50-65. doi:10.4018/IJDCF.2018070105

Li, P., Nguyen, M., & Yan, W. -Q. (2018). Rotation Correction for License Plate Recognition. In International Conference on Control, Automation and Robotics Vol. 1 (pp. 400-404). Auckland, New Zealand: IEEE. doi:10.1109/ICCAR.2018.8384708

Shen, D., Chen, X., Nguyen, M., & Yan, W. -Q. (2018). Flame Detection Using Deep Learning. In 2018 4th International Conference on Control, Automation and Robotics (ICCAR) (pp. 416-420). Auckland, New Zealand: IEEE. doi:10.1109/ICCAR.2018.8384711

Vo, T., Le, R., Nguyen, M., & Yan, W. -Q. (2018). Augmented Reality on Mobile Platform: A New Way to Instantly View and Display Foreign Currency Exchange Rate. In IEEE IVCNZ 2018. Auckland, New Zealand: IEEE. Retrieved from http://ivcnz2018.massey.ac.nz/programme/

Le, H., Nguyen, M., Yan, W. -Q., & Dawda, A. (2018). A vision aid for the visually impaired using commodity dual-rear-camera
smartphones. In 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). Universitätsstraße 34, Germany: IEEE. Retrieved from https://m2vip-conference.org/?page_id=62

Qiu, L., Nguyen, M., Le, H., Tran, H., & Yan, W. Q. (2017). Digital map using augmented reality on smart devices: Motivation, design, and implementation. In 32nd International Image and Vision Computing New Zealand Conference (IVCNZ 2017). Christchurch, New Zealand. Retrieved from http://ivcnz2017.canterbury.ac.nz/

Tran, H., Nguyen, M., Le, H., & Yan, W. -Q. (2017). A personalised stereoscopic 3D gallery with virtual reality technology on smartphone number. In 32nd International Image and Vision Computing New Zealand Conference (IVCNZ 2017). Christchurch, New Zealand. Retrieved from http://ivcnz2017.canterbury.ac.nz/

Nguyen, M. (2017). Seminar: Exploring the 3D World of the Internet with Commodity Virtual Reality Devices. WT Building. Retrieved from https://cerv.aut.ac.nz/2017-seminars/

Le, H., Nguyen, M., Tran, H., & Yeap, W. (2017). Pictorial AR tag with hidden multi-level bar-code and its potential applications. Multimodal Technologies and Interaction, 1(3), 1-22. doi:10.3390/mti1030020

Li, R., Nguyen, M., & Yan, W. Q. (2017). Morse codes enter using finger gesture recognition. In 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) (pp. 246-255). Sydney, Australia.: IEEE. doi:10.1109/DICTA.2017.8227464

Nguyen, M., Tran, H., & Le, H. (2017). Exploration of the 3D world on the internet using commodity virtual reality devices. Multimodal Technologies and Interaction, 1(3). doi:10.3390/mti1030015

Le, H., & Nguyen, M. (2017). Enhancing textbook study experiences with pictorial bar-codes and augmented reality. In M. Felsberg, A. Heyden, & N. Krüger (Eds.), Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22 – 24, 2017, Proceedings, Part II (pp. 139-150). Ystad, Sweden: Springer. doi:10.1007/978-3-319-64698-5_13

Nguyen, M., Tran, H., Le, H., & Yeap, W. (2017). Adaptive stereo vision system using portable low-cost 3D mini camera lens. In 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 6 pages). Auckland, New Zealand: IEEE. doi:10.1109/M2VIP.2017.8211465

Nguyen, M., Tran, H., Le, H., & Yan, W. -Q. (2017). A tile-based color picture with hidden QR code for augmented reality and beyond.. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology Article (pp. 8:1-8:4). Gothenburg, Sweden: ACM. doi:10.1145/3139131.3139164

Nguyen, H. H., Mirza, F., Naeem, M. A., & Nguyen, M. (2017). A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. In W. Shen, P. Antunes, N. H. Thuan, J. P. Barthès, J. Luo, & J. Yong (Eds.), Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 257-262). Wellington, New Zealand: IEEE. Retrieved from http://cscwd17.sim.vuw.ac.nz/

Woodward, A., Chan, Y. H., Gong, R., Nguyen, M., Gee, T., Delmas, P., . . . Marquez Flores, J. A. (2017). A low cost framework for real-time marker based 3-D human expression modeling. Journal of Applied Research and Technology, 15(1), 61-77. doi:10.1016/j.jart.2017.01.002

Nguyen, M. (2016). Seminar: StereoTag - A Novel Stereogram-Marker-Based Approach for Augmented Reality.. WT Building. Retrieved from https://cerv.aut.ac.nz/2016-seminars/

Nguyen, M. (2016). Seminar: Investigation of Stereogram-Marker-Based Approach for Augmented Reality.. WT building. Retrieved from https://cerv.aut.ac.nz/2016-seminars/

Nguyen, M., & Yeap, W. (2016). StereoTag: A novel Stereogram-Marker-Based approach for augmented reality. In 2016 23rd International Conference on Pattern Recognition (ICPR) (pp. 1059-1064). IEEE. Retrieved from http://www.icpr2016.org/site/full-program/

Nguyen, M., Yeap, W., & Hooper, S. (2016). Design of a new trading card for table-top augmented reality game environment. In D. Bailey, G. Sen Gupta, & S. Marsland (Eds.), Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 244-249). Image and Vision Computing New Zealand 2016: IEEE. Retrieved from http://ivcnz.massey.ac.nz/

Gu, D., Nguyen, M., & Yan, W. (2016). Cross models for twin recognition. International Journal of Digital Crime and Forensics, 8(4), 26-36. doi:10.4018/IJDCF.2016100103

Nguyen, M. (2016). Automatic generation of a realistic looking single image stereogram using stereo vision. In 2016 23rd International Conference on Pattern Recognition (ICPR) (pp. 3826-3831). IEEE. Retrieved from http://www.icpr2016.org/site/full-program/

Nguyen, M. (2015). Seminar: Computational Stereo Vision for Computers, Robots, and Beyond.. WT Building.

Nguyen, M. (2015). Seminar: A Guided Dynamic Programming Stereo Algorithm. WT building. Retrieved from https://cerv.aut.ac.nz/2015-seminars/

Nguyen, M., Yan, W. -Q., Rui, G., & Delmas, P. (2015). Toward a real-time belief propagation stereo reconstruction for computers, robots, and beyond. In 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, New Zealand: IEEE. doi:10.1109/IVCNZ.2015.7761530

Awards:

  • 2018 - Callaghan Innovation funding of NZ $91,500.00 (with Prof Reinhard Klette) to support one PhD student.
  • 2017 - External Fund for Multidisciplinary Computational Anatomy, from Osaka University: NZ $3,500
  • 2017 - CS Dept Research Funding, AUT: NZ $2,000
  • 2016 - Research Career and New Staff Development Fund, AUT: NZ $10,000
  • 2010 - BuildIT PhD Full Scholarship Award, UoA.
  • 2008 - Best Research Poster - 23rd International Conference Image and Vision Computing New Zealand.