Dr Peter C Y Yau

  • Assistant Professor in Computing Science (Singapore) (Singapore: Computing Science)

Biography

Dr Peter YAU is an Assistant Professor in the School of Computing Science, University of Glasgow (UofG, Singapore campus). Peter received his DBA at the University of Newcastle, Australia; his dissertation is entitled "An Empirical Study of the Drivers and Impediments in the Adoption of Financial Technology"

Peter has international consulting experience with a track record in managing change in organizations and system development. He delivered ambitious results for financial institutions, public transport providers, Big 4 accounting firms, etc. He pioneered in building the first unmanned smart-tech laboratory in Hong Kong for teaching, learning and research purposes. Before joining the UofG, he worked as an adjunct faculty in various engineering institutes, and a global EMBA school. His recent commercial deployment is a Fintech project related to automation: "Finding Global Investment Opportunities by Using Big Data Analysis - A Social Sentiment Listening Approach with Machine Learning".

He is an Amazon AWS Educate Cloud ambassador and a program evaluator for the computing accreditation commission at ABET. Peter loves to travel: he carried his laptop to Amazon, Himalayas, and Safari. 

Research interests

  • Web Development
  • Cloud Computing
  • System Automation
  • Internet of Things (IoT)
  • Enterprise Software & Development Methodology
  • Financial Technology (Fintech)
  • Algo-trade, Behavioural Finance & Sentiment Analysis 

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020
Number of items: 31.

2024

Yau, P. C.Y. (2024) Effective Safety Measures in Peer Evaluation with Azure AI Content Safety. [Website]

Yi Chan, E. M., Seow, C. K. , Wee Tan, E. S., Wang, M., Yau, P. C. and Cao, Q. (2024) SketchBoard: Sketch-Guided Storyboard Generation for Game Characters in the Game Industry. In: 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN), Beijing, China, 18-20 August 2024, ISBN 9798331527488 (doi: 10.1109/INDIN58382.2024.10774282)

Loo, Z., Tan, A., Choo, C. J., Tay, S. J., Lim, X., Loh, J. X., Ge-Hall, A., Yau, P. C.Y. and Wong, D. (2024) GenDatr: visualizing probabilistic data generation in medical data science. In: Arai, K. (ed.) Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3. Series: Lecture notes in networks and systems (1156). Springer, pp. 373-378. ISBN 9783031731259 (doi: 10.1007/978-3-031-73125-9_23)

Sum Lam, M., Shao, J., Zhou, R., Yau, P. C. and Wong, D. (2024) Inquiry-Based Education Technological Application Model in Distance Learning. In: 10th International Conference on Education and Training Technologies (ICETT '24), Macau, China, 11-13 April 2024, pp. 127-131. ISBN 9798400717895 (doi: 10.1145/3661904.3661912)

Ng, T., Bin Rawi, A. A., Sum, C. S., Tso, E., Yau, P. C.Y. and Wong, D. (2024) Migrating from Monolithic to Microservices with Hybrid Database Design Architecture. In: ICIIT 2024: 2024 9th International Conference on Intelligent Information Technology, Ho Chi Minh City, Vietnam, 23-25 February 2024, pp. 536-541. ISBN 9798400716713 (doi: 10.1145/3654522.3654602)

Lim, K. Y., Priyadarshi, A., Nadiah, N. F., Lee, J. H. J., Lau, J. X., Chew, C. K. L., Yau, P. C. Y. and Wong, D. (2024) Towards seamless communication for sign language support: architecture, algorithms, and optimization. In: Auer, M. E., Langmann, R., May, D. and Roos, K. (eds.) Smart Technologies for a Sustainable Future: Proceedings of the 21st International Conference on Smart Technologies and Education. Series: Lecture Notes in Networks and Systems, 2 (1027). Springer: Cham, pp. 401-410. ISBN 9783031619052 (doi: 10.1007/978-3-031-61905-2_39)

Cham, X. T. et al. (2024) AI-Assisted Manual Segmentation Web Application for Geospatial Satellite and Imagery Data. In: IEEE 9th World Forum on Internet of Things, Aveiro, Portugal, 12–27 Oct 2023, ISBN 9798350311617 (doi: 10.1109/WF-IoT58464.2023.10539446)

Yong, K. E., Hui Kieu, D. K., Goh, Y. K., Zhang, X., Loo, X. H., Tong, H. G., Yau, P. C. , Seow, C. K. , Fornace, K. and Hesse, H. (2024) Drone Navigation System for Autonomous Mosquito Sampling in Tree Canopies. In: 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), Aveiro, Portugal, 12-27 Oct 2023, ISBN 9798350311617 (doi: 10.1109/wf-iot58464.2023.10539459)

Quek, S. W. D., Teo, J. K. F., Louahemmsabah, N., Tong, Y. B. C., Poh, A. Z. R., Cao, Q. , Seow, C. K. , Yau, P. C. and Chen, A. Q. (2024) Improving Teamwork in Software Engineering Projects in Higher Education. In: 2023 IEEE ASEE Frontiers in Education Conference, College Station, TX, USA, 18-21 Oct 2023, ISBN 9798350336429 (doi: 10.1109/FIE58773.2023.10343476)

Kim, Y. , Idris, L. L. H., Das, S. and Yau, P. C. (2024) Development Of Project-Based Learning In Civil Engineering. In: 18th Annual International Technology, Education and Development Conference (INTED 2024), Valencia, Spain, 04-06 Mar 2024, pp. 5942-5948. ISBN 9788409592159 (doi: 10.21125/inted.2024.1558)

Yau, P. C.Y. (2024) How We Use GPT in Blended Learning in a Responsible Way? [Website]

Yau, P. C.Y. (2024) University of Glasgow, Hackathon SG 2024. [Website]

2023

Yam, S., Yau, P. C.Y. , Chinsean, S., Cao, Q. and Wong, D. (2023) Accessibility-as-a-service an open-source reading assistive tool for education. Journal of Software, 18(3), pp. 106-116. (doi: 10.17706/jsw.18.3.106-116)

Tan, Q. (M.), Cao, Q. , Seow, C. K. and Yau, C. (P.) (2023) Information extraction system for invoices and receipts. In: Huang, D.-S., Premaratne, P., Jin, B., Qu, B., Jo, K.-H. and Hussain, A. (eds.) Advanced Intelligent Computing Technology and Applications: 19th International Conference, ICIC 2023, Zhengzhou, China, August 10–13, 2023, Proceedings, Part IV. Series: Lecture notes in computer science (14089). Springer: Singapore, pp. 77-89. ISBN 9789819947515 (doi: 10.1007/978-981-99-4752-2_7)

Chia, Y. X., Loh, K. H., Ong, Z. Y. B., Lim, J. X., Ooi, J. K., Cao, Q. , Yau, P. C.Y. and Lim, L. H. I. (2023) Sentiments Analysis and Feedback among Three Cohorts in Learning Software Engineering Modules. In: 2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, 04-07 Dec 2022, ISBN 9781665491174 (doi: 10.1109/TALE54877.2022.00025)

Yau, P. C. , Kim, Y. , Wong, D., Pang, P., Kan, S. and Cao, Q. (2023) What Students Want to Have in the Post-Pandemic?: A Study about Computing Science Study Preferences and Mode of Study in Southeast Asia. In: ICETM 2022: 2022 5th International Conference on Education Technology Management, Lincoln, United Kingdom, 16-18 December 2022, pp. 59-63. ISBN 9781450398015 (doi: 10.1145/3582580.3582591)

2022

Tso, K. H. E., Yau, P. C.Y. , Lau, Y. W. R., Wong, C. T. S. and Jeang, W. L. (2022) Applying Agile Learning to Classrooms. Learning & Teaching Expo 2022, Hong Kong, 08 Dec 2022.

Yau, P. C.Y. (2022) Confidence Level, NFT and Digital Credentials. EDUtech_Asia 2022, Singapore, 09 Nov 2022.

Yau, P. C.Y. , Tso, E. and Wong, D. (2022) Learning factory synergy: applied learning and problem-based pedagogy in the digital transformation ecosystem. In: Arai, K. (ed.) Proceedings of the Future Technologies Conference. Series: Lecture Notes in Networks and Systems, 3 (561). Springer, pp. 734-741. ISBN 9783031183430 (doi: 10.1007/978-3-031-18344-7_52)

Lua, W. K. H., Yau, P. C.Y. , Seow, C. K. and Dennis, W. (2022) Lightweight CNN-Based Deep Neural Networks Application in Safety Measurement. In: 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), Chengdu, China, 19-21 Aug 2022, ISBN 9781665499163 (doi: 10.1109/PRAI55851.2022.9904161)

Yau, P. C. Y. (2022) Budding the next entrepreneur in the applied learning education. In: Applied Degree Education and the Future of Learning. Series: Lecture notes in educational technology. Springer: Singapore, pp. 215-224. ISBN 9789811698118 (doi: 10.1007/978-981-16-9812-5_12)

Yau, P. C.Y. (2022) Signal & Wave in Computing Science: How my message transmitted on the wireless network? [Audio]

Yau, P. C. Y. (2022) Using STEAM to Motivate the Next Generation in the Learning Journey. Asian Festival of Children's Content (AFCC 2022), 26-29 May 2022.

Zhang, W., Miller, C., Yau, P. C. Y. , Hong, P. D. and Lim, T. M. (2022) When Open Science meets Open Source. FOSSASIA Summit 2022, 7-9 April 2022.

Yau, P. C. (2022) Machine Learning in FMCG - How Social Listening, Big Data, and AI Apply in the Business Decision Process. In: 7th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence and Future Applications (IHIET-AI 2022), 21-23 Apr 2022, ISBN 9781792389894 (doi: 10.54941/ahfe100921)

2021

Yau, P. C. and Wong, D. (2021) Powering financial literacy through blockchain and gamification: how digital transformation impacts fintech education. In: Arai, K. (ed.) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. Series: Lecture notes in networks and systems (358). Springer: Cham, pp. 986-993. ISBN 9783030899059 (doi: 10.1007/978-3-030-89906-6_63)

2020

Yau, P. C. , Wong, D. and Lam, A. (2020) Continuous education through building a work-and-learn relationship: how does the industrial attachment program work in Hong Kong. International Journal of Information and Education Technology, 10(11), pp. 854-858. (doi: 10.18178/ijiet.2020.10.11.1470)

Yau, P. C. , Hok Luen, W., Leung, J. and Wong, D. (2020) Practicing Mobile-Commerce as a Pro - Implementation of an Education-oriented Commercial Trading System. In: 4th International Conference on E-commerce, E-Business and E-Government (ICEEG 2020), 17-19 Jun 2020, pp. 135-139. ISBN 9781450388030 (doi: 10.1145/3409929.3416794)

Yau, P. C. , Wong, D., Luen, W. H. and Leung, J. (2020) Understanding Consumer Behavior by Big Data Visualization in the Smart Space Laboratory. In: 5th International Conference on Big Data and Computing (ICBDC 2020), 28-30 May 2020, pp. 13-17. ISBN 9781450375474 (doi: 10.1145/3404687.3404705)

Yau, P. C. , Wong, D. and Hongying, Q. (2020) Educational STEM Laboratory: an Experimental Paradigm, Theory Design and User Experience Case Study. In: 6th International Conference on Education and Training Technologies (ICETT 2020), 18-20 May 2020, pp. 9-12. ISBN 9781450387989 (doi: 10.1145/3399971.3399986)

Yau, P. C. , Luen, W. H., Wong, D. and Kan, J. W. K. (2020) Unmanned Shop Laboratory: an Extensible and Scalable Research, Teaching and Learning Smart Space System: Project S-SHOP@TMIT in Response to Emerging Challenges for Hong Kong Smart City Development. In: 2020 IEEE 3rd International Conference on Electronics Technology (ICET), 08-12 May 2020, pp. 819-822. ISBN 9781728162836 (doi: 10.1109/ICET49382.2020.9119529)

This list was generated on Mon Jan 20 01:54:37 2025 GMT.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings | Audio | Website
Number of items: 31.

Articles

Yam, S., Yau, P. C.Y. , Chinsean, S., Cao, Q. and Wong, D. (2023) Accessibility-as-a-service an open-source reading assistive tool for education. Journal of Software, 18(3), pp. 106-116. (doi: 10.17706/jsw.18.3.106-116)

Yau, P. C. , Wong, D. and Lam, A. (2020) Continuous education through building a work-and-learn relationship: how does the industrial attachment program work in Hong Kong. International Journal of Information and Education Technology, 10(11), pp. 854-858. (doi: 10.18178/ijiet.2020.10.11.1470)

Book Sections

Loo, Z., Tan, A., Choo, C. J., Tay, S. J., Lim, X., Loh, J. X., Ge-Hall, A., Yau, P. C.Y. and Wong, D. (2024) GenDatr: visualizing probabilistic data generation in medical data science. In: Arai, K. (ed.) Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3. Series: Lecture notes in networks and systems (1156). Springer, pp. 373-378. ISBN 9783031731259 (doi: 10.1007/978-3-031-73125-9_23)

Lim, K. Y., Priyadarshi, A., Nadiah, N. F., Lee, J. H. J., Lau, J. X., Chew, C. K. L., Yau, P. C. Y. and Wong, D. (2024) Towards seamless communication for sign language support: architecture, algorithms, and optimization. In: Auer, M. E., Langmann, R., May, D. and Roos, K. (eds.) Smart Technologies for a Sustainable Future: Proceedings of the 21st International Conference on Smart Technologies and Education. Series: Lecture Notes in Networks and Systems, 2 (1027). Springer: Cham, pp. 401-410. ISBN 9783031619052 (doi: 10.1007/978-3-031-61905-2_39)

Tan, Q. (M.), Cao, Q. , Seow, C. K. and Yau, C. (P.) (2023) Information extraction system for invoices and receipts. In: Huang, D.-S., Premaratne, P., Jin, B., Qu, B., Jo, K.-H. and Hussain, A. (eds.) Advanced Intelligent Computing Technology and Applications: 19th International Conference, ICIC 2023, Zhengzhou, China, August 10–13, 2023, Proceedings, Part IV. Series: Lecture notes in computer science (14089). Springer: Singapore, pp. 77-89. ISBN 9789819947515 (doi: 10.1007/978-981-99-4752-2_7)

Yau, P. C.Y. , Tso, E. and Wong, D. (2022) Learning factory synergy: applied learning and problem-based pedagogy in the digital transformation ecosystem. In: Arai, K. (ed.) Proceedings of the Future Technologies Conference. Series: Lecture Notes in Networks and Systems, 3 (561). Springer, pp. 734-741. ISBN 9783031183430 (doi: 10.1007/978-3-031-18344-7_52)

Yau, P. C. Y. (2022) Budding the next entrepreneur in the applied learning education. In: Applied Degree Education and the Future of Learning. Series: Lecture notes in educational technology. Springer: Singapore, pp. 215-224. ISBN 9789811698118 (doi: 10.1007/978-981-16-9812-5_12)

Yau, P. C. and Wong, D. (2021) Powering financial literacy through blockchain and gamification: how digital transformation impacts fintech education. In: Arai, K. (ed.) Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. Series: Lecture notes in networks and systems (358). Springer: Cham, pp. 986-993. ISBN 9783030899059 (doi: 10.1007/978-3-030-89906-6_63)

Conference or Workshop Item

Tso, K. H. E., Yau, P. C.Y. , Lau, Y. W. R., Wong, C. T. S. and Jeang, W. L. (2022) Applying Agile Learning to Classrooms. Learning & Teaching Expo 2022, Hong Kong, 08 Dec 2022.

Yau, P. C.Y. (2022) Confidence Level, NFT and Digital Credentials. EDUtech_Asia 2022, Singapore, 09 Nov 2022.

Yau, P. C. Y. (2022) Using STEAM to Motivate the Next Generation in the Learning Journey. Asian Festival of Children's Content (AFCC 2022), 26-29 May 2022.

Zhang, W., Miller, C., Yau, P. C. Y. , Hong, P. D. and Lim, T. M. (2022) When Open Science meets Open Source. FOSSASIA Summit 2022, 7-9 April 2022.

Conference Proceedings

Yi Chan, E. M., Seow, C. K. , Wee Tan, E. S., Wang, M., Yau, P. C. and Cao, Q. (2024) SketchBoard: Sketch-Guided Storyboard Generation for Game Characters in the Game Industry. In: 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN), Beijing, China, 18-20 August 2024, ISBN 9798331527488 (doi: 10.1109/INDIN58382.2024.10774282)

Sum Lam, M., Shao, J., Zhou, R., Yau, P. C. and Wong, D. (2024) Inquiry-Based Education Technological Application Model in Distance Learning. In: 10th International Conference on Education and Training Technologies (ICETT '24), Macau, China, 11-13 April 2024, pp. 127-131. ISBN 9798400717895 (doi: 10.1145/3661904.3661912)

Ng, T., Bin Rawi, A. A., Sum, C. S., Tso, E., Yau, P. C.Y. and Wong, D. (2024) Migrating from Monolithic to Microservices with Hybrid Database Design Architecture. In: ICIIT 2024: 2024 9th International Conference on Intelligent Information Technology, Ho Chi Minh City, Vietnam, 23-25 February 2024, pp. 536-541. ISBN 9798400716713 (doi: 10.1145/3654522.3654602)

Cham, X. T. et al. (2024) AI-Assisted Manual Segmentation Web Application for Geospatial Satellite and Imagery Data. In: IEEE 9th World Forum on Internet of Things, Aveiro, Portugal, 12–27 Oct 2023, ISBN 9798350311617 (doi: 10.1109/WF-IoT58464.2023.10539446)

Yong, K. E., Hui Kieu, D. K., Goh, Y. K., Zhang, X., Loo, X. H., Tong, H. G., Yau, P. C. , Seow, C. K. , Fornace, K. and Hesse, H. (2024) Drone Navigation System for Autonomous Mosquito Sampling in Tree Canopies. In: 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), Aveiro, Portugal, 12-27 Oct 2023, ISBN 9798350311617 (doi: 10.1109/wf-iot58464.2023.10539459)

Quek, S. W. D., Teo, J. K. F., Louahemmsabah, N., Tong, Y. B. C., Poh, A. Z. R., Cao, Q. , Seow, C. K. , Yau, P. C. and Chen, A. Q. (2024) Improving Teamwork in Software Engineering Projects in Higher Education. In: 2023 IEEE ASEE Frontiers in Education Conference, College Station, TX, USA, 18-21 Oct 2023, ISBN 9798350336429 (doi: 10.1109/FIE58773.2023.10343476)

Kim, Y. , Idris, L. L. H., Das, S. and Yau, P. C. (2024) Development Of Project-Based Learning In Civil Engineering. In: 18th Annual International Technology, Education and Development Conference (INTED 2024), Valencia, Spain, 04-06 Mar 2024, pp. 5942-5948. ISBN 9788409592159 (doi: 10.21125/inted.2024.1558)

Chia, Y. X., Loh, K. H., Ong, Z. Y. B., Lim, J. X., Ooi, J. K., Cao, Q. , Yau, P. C.Y. and Lim, L. H. I. (2023) Sentiments Analysis and Feedback among Three Cohorts in Learning Software Engineering Modules. In: 2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, 04-07 Dec 2022, ISBN 9781665491174 (doi: 10.1109/TALE54877.2022.00025)

Yau, P. C. , Kim, Y. , Wong, D., Pang, P., Kan, S. and Cao, Q. (2023) What Students Want to Have in the Post-Pandemic?: A Study about Computing Science Study Preferences and Mode of Study in Southeast Asia. In: ICETM 2022: 2022 5th International Conference on Education Technology Management, Lincoln, United Kingdom, 16-18 December 2022, pp. 59-63. ISBN 9781450398015 (doi: 10.1145/3582580.3582591)

Lua, W. K. H., Yau, P. C.Y. , Seow, C. K. and Dennis, W. (2022) Lightweight CNN-Based Deep Neural Networks Application in Safety Measurement. In: 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI), Chengdu, China, 19-21 Aug 2022, ISBN 9781665499163 (doi: 10.1109/PRAI55851.2022.9904161)

Yau, P. C. (2022) Machine Learning in FMCG - How Social Listening, Big Data, and AI Apply in the Business Decision Process. In: 7th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence and Future Applications (IHIET-AI 2022), 21-23 Apr 2022, ISBN 9781792389894 (doi: 10.54941/ahfe100921)

Yau, P. C. , Hok Luen, W., Leung, J. and Wong, D. (2020) Practicing Mobile-Commerce as a Pro - Implementation of an Education-oriented Commercial Trading System. In: 4th International Conference on E-commerce, E-Business and E-Government (ICEEG 2020), 17-19 Jun 2020, pp. 135-139. ISBN 9781450388030 (doi: 10.1145/3409929.3416794)

Yau, P. C. , Wong, D., Luen, W. H. and Leung, J. (2020) Understanding Consumer Behavior by Big Data Visualization in the Smart Space Laboratory. In: 5th International Conference on Big Data and Computing (ICBDC 2020), 28-30 May 2020, pp. 13-17. ISBN 9781450375474 (doi: 10.1145/3404687.3404705)

Yau, P. C. , Wong, D. and Hongying, Q. (2020) Educational STEM Laboratory: an Experimental Paradigm, Theory Design and User Experience Case Study. In: 6th International Conference on Education and Training Technologies (ICETT 2020), 18-20 May 2020, pp. 9-12. ISBN 9781450387989 (doi: 10.1145/3399971.3399986)

Yau, P. C. , Luen, W. H., Wong, D. and Kan, J. W. K. (2020) Unmanned Shop Laboratory: an Extensible and Scalable Research, Teaching and Learning Smart Space System: Project S-SHOP@TMIT in Response to Emerging Challenges for Hong Kong Smart City Development. In: 2020 IEEE 3rd International Conference on Electronics Technology (ICET), 08-12 May 2020, pp. 819-822. ISBN 9781728162836 (doi: 10.1109/ICET49382.2020.9119529)

Audio

Yau, P. C.Y. (2022) Signal & Wave in Computing Science: How my message transmitted on the wireless network? [Audio]

Website

Yau, P. C.Y. (2024) Effective Safety Measures in Peer Evaluation with Azure AI Content Safety. [Website]

Yau, P. C.Y. (2024) How We Use GPT in Blended Learning in a Responsible Way? [Website]

Yau, P. C.Y. (2024) University of Glasgow, Hackathon SG 2024. [Website]

This list was generated on Mon Jan 20 01:54:37 2025 GMT.

Supervision

 

AI-Driven Robo-Advisors: Enhancing Investment Decision-Making with Artificial Intelligence

"Research examines AI robo-advisors' impact on investments, offering personalized suggestions while addressing challenges and ethical concerns."

The research explores the transformative potential of AI-driven robo-advisors in the realm of investment decision-making. By leveraging advanced machine learning algorithms, these robo-advisors offer personalized investment suggestions tailored to individual preferences and risk profiles. This study delves into the effectiveness of AI-powered recommendations in optimizing investment portfolios, enhancing returns, and managing risks. It also investigates the challenges, ethical considerations, and user acceptance associated with this emerging technology. By shedding light on the evolving landscape of AI-driven investment suggestions, this research aims to guide both investors and financial institutions in harnessing the full potential of artificial intelligence for financial decision support.

 

Teaching

  • CSC3010 Information Retrieval
  • CSC3002 Integrated Work Study Programme
  • CSC3001 Capstone Project
  • CSC2012 Professional Software Development 2
  • CSC2002 Team Project 
  • CSC1106 Web Programming
  • CSC1009 Object Oriented Programming
  • MEC3361 Industrial Internet of Things and Data Analytics 2

Professional activities & recognition

Prizes, awards & distinctions

  • 2024: Most Valuable Professionals (MVP) (Microsoft)

Editorial boards

  • 2022: Journal of Artificial Intelligence and Big Data
  • 2022: Software Engineering

Professional & learned societies

  • 2019: Programs Evaluator, Accreditation Board for Engineering and Technology

Selected international presentations

  • 2018: Fintech Adoption and Its Application in Hong Kong @ SUNY Korea Seminar (South Korea)
  • 2021: Empower Educators with Oracle Academy Cloud Program (Online)
  • 2022: T2 Deep Tech Training @ Hong Kong Science & Technology Parks (Hong Kong)
  • 2022: Using STEAM to Motivate the Next Generation in the Learning Journey @ Asian Festival of Children's Content (Singapore)
  • 2022: When Open Science meets Open Source @ FOSSASIA Summit (Singapore)
  • 2023: Learning & Teaching Expo 2023 (Hong Kong)

Additional information

Scholarship of Learning and Teaching (SoLT)

Research Interests:

  • Learning Factory Design and Implementation
  • Pedagogy in Applied Learning

Projects (selected):

  • Unmanned smart-tech learning factory in Hong Kong
  • Multimedia live streaming and archive system for art teachings
  • Mixed reality digital image teaching system for fashion items
  • Relationship study between Applied Learning, Training Methodology and Continuous Education
  • Accessibility for teaching and learning materials in web and mobile formats

Personal Websites


Dr Peter C Y Yau on Twitter