Dr Robert (Huy) Le

Links:

About

Dr Robert (Huy) Le, PhD, MCIS, currently serves as a Lecturer for the Faculty of Technology at the Auckland City Road campus of Yoobee College of Creative Innovation. He joined Yoobee College in 2021 while completing his PhD study. Dr Le obtained his PhD from the esteemed Auckland University of Technology in 2022 and is an active member of the Centre for Robotics & Vision @ AUT. His groundbreaking research has focused on the fascinating intersection of Computer and Robot Vision, Image Processing, Virtual Reality, Augmented Reality, and Artificial Intelligent for Educational and Medical purposes, producing over 20 high-impact publications. He has also made tremendous contributions to the international research community by being a part of numerous conference organisers and securing several prestigious grants.

At Yoobee College, Robert has been involved with teaching and content modification of the Bachelor of Software Engineering first-year papers and has supervised numerous mini-projects. He strives to see his students succeed in their studies and careers, to benefit their families and society. As a professional educator, one of Robert’s points of difference is the ability to engage the students during an extended session. He attributes this to his enthusiastic delivery, which the students also sense. Robert guides the students so that learning becomes fun rather than a must-do-to-succeed. He shares his experience in class, relates real-life examples with teaching materials, applies modern technologies, and convinces students about the importance of their knowledge gained at school. Robert always treats students with absolute equality, regardless of age, gender, and nationality. The critical point is to make all students feel comfortable; thus, it is easier for them to learn, ask questions, and believe in themselves.

Academic Qualifications

PhD: Doctor of Philosophy in Engineering (Computer and Mathematical Sciences) Auckland University of Technology, Auckland, New Zealand, 2022

Thesis: SARM: Synthetic data annotation for enhancing the experiences of augmented reality application based on machine learning

MCIS: Master of Computer and Information Sciences

Auckland University of Technology, Auckland, New Zealand, 2018

Thesis: Pictorial markers with hidden codes and their potential applications

PgDipCIS: Postgraduate Diploma in Computer and Information Sciences

Auckland University of Technology, New Zealand, 2017

BSc: Bachelor of Science (Computer and Information Sciences)

The University of Auckland, New Zealand, 2014

Research Outputs

Publications

Theses and Dissertations (Open Access)

Le, H. K. A. (2022). SARM: Synthetic data annotation for enhancing the experiences of augmented reality application based on machine learning [Doctor of Philosophy dissertation, Auckland University of Technology]. Tuwhera. https://openrepository.aut.ac.nz/items/72c1836f-4074-4552-b600-7a934f8c085e

Le, H. (2018). Pictorial markers with hidden codes and their potential applications [Masters thesis, Auckland University of Technology]. Tuwhera. https://openrepository.aut.ac.nz/items/b2ab5722-0059-4130-980a-47b97f5c1f4f

Books

Le, H., & Nguyen, M. (2020). An online platform for enhancing learning experiences with web-based augmented reality and pictorial bar code. In V. Geroimenko (Ed.), Augmented reality in education: A new technology for teaching and learning (pp. 45-57). Springer. ISBN: 978-3-030-42155-7

eBooks

Nguyen-Thi, M., Le, H., Le, T., Le, T., & Nguyen, H. T. (2023). Youtube engagement analytics via deep multimodal fusion model. In H. Wang, W. Lin, P. Manoranjan, G. Xiao, K. L. Chan, X. Wang, G. Ping, & H. Jiang (Eds.), Image and Video Technology: Proceedings of the 10th Pacific-Rim Symposium (PSIVT), November 12-14, 2022 (pp. 50-60). Lecture Notes in Computer Science Book Series, Vol. 13763. Springer. https://doi.org/10.1007/978-3-031-26431-3_5

Do, T., Le, H., Ha, T. (2022). COVID-net network and application on support diagnosis COVID-19 over x-ray images. In Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition (MAPR), October 13-14, 2022, Phu Quoc, Vietnam (pp. 1-7). IEEE. http://doi.org/10.1109/MAPR56351.2022.9924841

Nguyen, Q., Nguyen, M., Sun, B., & Le, H. (2021). New Zealand shellfish detection, recognition and counting: A deep learning approach on mobile devices. In M. Nguyen, W. Q Yan, & H. Ho (Eds.), Geometry and Vision: Conference proceedings of the First International Symposium of Geometry and Vision (ISGV), January 28-29, 2021, Auckland, New Zealand (pp. 119-133). Communications in Computer and Information Science Book Series, Vol. 1386. Springer. https://doi.org/10.1007/978-3-030-72073-5_10

Le, H., Nguyen, M., Yan, W. Q., & Lo, S. (2021). Training a convolutional neural network for transportation sign detection using synthetic dataset. In Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ), December 9-10, 2021, Tauranga, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/IVCNZ54163.2021.9653398

Le, H., Nguyen, M., Nguyen, Q., Nguyen, H., & Yan, W. (2020). Automatic data generation for deep learning model training of image classification used for augmented reality on pre-school books. In Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition (MAPR), October 8-9, 2020, Ha Noi, Vietnam (pp. 1-5). IEEE. https://doi.org/10.1109/MAPR49794.2020.9237760

Le, H., Nguyen, M., Yan, & W. Q. (2020). A web-based augmented reality approach to instantly view and display 4D medical images. In S. Palaiahnakote, G. Sanniti di Baja, L. Wang & W. Q. Yan (Eds.), Pattern Recognition: 5th Asian Conference (ACPR), November 26-29, 2019, Auckland, New Zealand, Revised Selected Papers, Part II (pp. 691-704). Lecture Notes in Computer Science, Vol. 12047. Springer. https://doi.org/10.1007/978-3-030-41299-9_54

Le, H., Nguyen, M., & Yan, W. Q (2020). Machine learning with synthetic data: A new way to learn and classify the pictorial augmented reality markers in real-time. In Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), November 25-27, 2020, Wellington, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/IVCNZ51579.2020.9290606

Nguyen, M., Le, H., & Yan, W. Q. (2020). Red-green-blue augmented reality tags for retail stores. In J. Blanc-Talon, P. Delmas, W. Philips, D. Popescu & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: Proceedings of the 20th International Conference (ACIVS), February 10-14, Auckland, New Zealand (pp. 467-479). Lecture Notes in Computer Science Book Series, Vol. 12002. Springer. https://doi.org/10.1007/978-3-030-40605-9_40

Nguyen, H., Nguyen, M., Nguyen, Q., Yang, S., & Le, H. (2020). Web-based object detection and sound feedback system for visually impaired people. In Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition (MAPR), October 8-9, 2020, Ha Noi, Vietnam (pp. 1-6). IEEE. https://doi.org/10.1109/MAPR49794.2020.9237770

Nguyen, M., Lai, M. P., Le, H., & Yan, W. Q. (2019). A web-based augmented reality plat-form using pictorial QR code for educational purposes and beyond. In T. Trescak (Ed.), Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology (VRST), November 12-15, 2019, Sydney, Australia (pp. 1-2). ACM Digital Library. https://doi.org/10.1145/3359996.3364793

Le, H., Nguyen, M., & Yan, W. Q. (2018). CSPM: A novel curtain style pictorial marker for enhancing augmented reality experiences. In Proceedings of the International Conference on Image and Vision Computing, New Zealand (IVCNZ), November 19-21, 2018, Auckland, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/IVCNZ.2018.8634697

Nguyen, M., Le, H., Yan, W. Q, & Dawda, A. (2018). A vision aid for the visually impaired using commodity dual-rear-camera smartphones. In Proceedings of the International Conference on Mechatronics and Machine Vision in Practice (M2VIP), November 20-22, 2018, Stuttgart, Germany (pp. 1-6). IEEE. https://doi.org/10.1109/M2VIP.2018.8600857

Wang, I., Nguyen, M., Le, H., Yan, W., & Hooper, S. (2018). Enhancing visualisation of anatomical presentation and education using marker-based augmented reality technology on web-based platform. In Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), November 27-30, Auckland, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/AVSS.2018.8639147

Nguyen, M., Le, H., Tran, H., Yeap, W. (2017). Adaptive stereo vision system using portable low-cost 3D mini camera lens. In Proceeding of the International Conference on Mechatronics and Machine Vision in Practice (M2VIP), November 21-23, 2017, Auckland, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/M2VIP.2017.8211465

Tran, H., Nguyen, M., Le, H., & Yan, W. Q. (2017). A personalised stereoscopic 3D gallery with virtual reality technology on smartphone. In Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ), December 4-6, 2017, Christchurch, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/IVCNZ.2017.8402456

Nguyen, M., Tran, H., Le, H., & Yan, W. Q. (2017). A tile based colour picture with hidden QR code for augmented reality and beyond. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (VRST), November 8-10, 2017, Gothenburg, Sweden (pp. 1-4). ACM Digital Library. https://dl.acm.org/doi/abs/10.1145/3139131.3139164

Qiu, L., Nguyen, M., Tran, H., Le, H., & Yan, W. Q. (2017). Digital map using augmented reality on smart devices: Motivation, design, and implementation. In Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ), December 4-6, 2017, Christchurch, New Zealand (pp. 1-6). IEEE. https://doi.org/10.1109/IVCNZ.2017.8402474

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), Ystad, Sweden, August 22-24, 2017, Proceedings, Part II (pp. 139-150). Lecture Notes in Computer Science Book Series, Vol. 10425. Springer. https://doi.org/10.1007/978-3-319-64698-5_13

Journal Articles

Le, H., Nguyen, M., Yan, W. Q., & Nguyen, H. (2021). Augmented reality and machine learning incorporation using YOLOv3 and ARKit. Applied Sciences 11(13), 6006. https://doi.org/10.3390/app11136006

Nguyen, M., Tran, H., & Le, H. (2017). Exploration of the 3D world on the internet using commodity virtual reality devices. Multimodal Technologies and Interaction: Virtual Reality and Games 1(3), 15. https://doi.org/10.3390/mti1030015

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: Recent Advances in Augmented Reality 1(3), 20. https://doi.org/10.3390/mti1030020

Conferences

Le, H. (2021, December 9-10). Training object detection neural network with synthetic dataset for transportation signs [Conference paper presentation]. International Conference on Image and Vision Computing New Zealand (IVCNZ), Tauranga, New Zealand [Online].

Le, H. (2021, January 28-29). New Zealand shellfish detection, recognition and counting: A deep learning approach on mobile devices [Symposium paper presentation]. The International Symposium on Geometry and Vision (ISGV), Auckland, New Zealand [Online].

Le, H. (2020, November 25-27). Machine learning with synthetic data: A new way to learn and classify the pictorial augmented reality markers in real-time [Conference paper presentation]. International Conference on Image and Vision Computing (IVCNZ), Wellington, New Zealand [Online].

Le, H. (2019, November 26-29). A web-based augmented reality approach to instantly view and display 4D medical images [Conference poster presentation]. Asian Conference on Pattern Recognition (ACPR), Auckland, New Zealand.

Le, H. (2019, November 12-15). A web-based augmented reality plat-form using pictorial QR code for educational purposes and beyond [Symposium poster presentation]. ACM Symposium on Virtual Reality Software and Technology (VRST), Sydney, Australia.

Le, H. (2018, November 20-22). Adaptive stereo vision system using portable low-cost 3D mini camera lens [Conference paper presentation]. IEEE International Conference on Mechatronics and Machine Vision (M2VIP), Stuttgart, Germany.

Le, H. (2017, August 22-24). Enhancing textbook study experiences with pictorial bar-codes and augmented reality [Conference poster presentation]. International Conference on Computer Analysis of Images and Patterns (CAIP), Ystad, Sweden.

Research Awards and Grants

Le, H. (2022). Recipient of the Antarctic Rover Design Challenge Project Research Grant