Contact Information
Email: QI.CAO8@nus.edu.sg
Department of Statistics and Data Science, (Department web portal)
Faculty of Science,
National University of Singapore,
Block S16, Level 7,
6 Science Drive 2,
Singapore 117546
His ORCID Page: https://orcid.org/0000-0003-3243-5693
Biography
- He has been an Associate Professor (Practice Track) with Department of Statistics and Data Science, Faculty of Science, National University of Singapore (NUS) since 2026.
- He has been a Co-Director with Data Analytics Consulting Centre (DACC), Faculty of Science, NUS since 2026.
Before that, he was with several organizations as follows.
- He was an Associate Professor in 2024 – 2026, with the School of Computing Science (CS), University of Glasgow (UofG), UK.
- He was an Assistant Professor in 2019 – 2024 with the School of CS, UofG, UK.
- Government Technology Agency, Singapore, 2018 – 2019.
- Nanyang Technological University (NTU), Singapore, 2013 – 2018.
- Halliburton Energy Services Inc. Singapore branch, 2011 – 2013.
- I2R, Agency for Science, Technology and Research (A*STAR), Singapore, 2009 – 2011.
- ST Electronics, 2007 – 2009.
- Seagate Technology International, 2005 – 2007.
- He obtained his PhD degree from Nanyang Technological University (NTU), Singapore in 2007.
- He obtained his Bachelor of Engineering degree from HuaZhong University of Science & Technology (HUST), Wuhan China in 2000.
Research Interests
His research interests include AI for Data Analytics and Finance Portfolio Management, Software Engineering Education, Technology Enhanced Learning with Virtual Reality (VR) and Augmented Reality (AR).
Grants
- SIT Ignition Grant on “Developing a ComCare App to Enhance Community Nurses’ Work Efficiency”, S$149,580 (2025 – 2027), (SIT, UofG, and SingHealth).
- SIT Applied Learning and Innovation Grant on “Teaching Quantum Computing with Extended Reality (TeQER)”, S$39,900 (2024 – 2025), (SIT and UofG).
- IMDA and NRF Future Communications R&D Programme (FCP) Translational Grant on “Inter-Networking of 5G and Wireless Networks (5G-X) for Optmised Smart Building Management”, S$282,000 (2023 – 2025), (SIT, UofG, Wi-SUN Alliance, Myrlabs, and RFNet Technologies).
- SIT Applied Learning and Innovation Grant on “Single-Integrated Platform Using GitHub for Software Development Education”, S$20,160 (2022 – 2024), (SIT and UofG).
- ICT Virtual Organisation of ASEAN Institutes and NICT (ASEAN IVO) funding on “An IoT-based Public Transport Data Collection and Analytics Framework using Bluetooth Proximity Beacons”, US$80,000 (2022 – 2024), (UTM, UofG, UTB, USM, and UTAR).
- DSO Singapore/Temasek Laboratories@NTU grant on “Urban Anomaly Detection and Human Activity Classification with Cellular Base-station Traffic”, S$282,000 (2022 – 2024), (NTU and UofG).
- SIT Applied Learning and Innovation Grant on “Lab Assistance Device (LAD)”, S$34,125 (2022 – 2023), (SIT and UofG).
- GovTech/SNGDO Trans Grant on “GNSS Signal Authentication for Users of High Precision GNSS Positioning”, S$796,584 (2020-2021), (NTU, UofG, University of Tokyo, and Singapore Land Authority (SLA)).
Awards
- IEEE MultiMedia 2020 Best Paper Award Runner-Up, for our paper “PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification”, recognized as the runner-up for the 2020 Best Paper Award from IEEE MultiMedia by the IEEE Computer Society Publications Board.
How to cite this paper:
Y. Zhang, Y. Jin, J. Chen, S. Kan, Y. Cen and Q. Cao, PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification, IEEE MultiMedia, vol. 27, no. 3, pp. 23-33, July-Sept. 2020. (https://doi.org/10.1109/MMUL.2020.2999445). - Best Application Paper Award, for our paper as follows.
E. M. Y. Chan, C. K. Seow, E. S. W. Tan, M. Wang, P. C. Y. Yau, Qi Cao, “SketchBoard: Sketch-Guided Storyboard Generation for Game Characters in the Game Industry,” 22nd IEEE International Conference on Industrial Informatics, Beijing, China, 2024. (https://doi.org/10.1109/INDIN58382.2024.10774282).
Source codes for our published papers
- Source codes for our paper titled “Dynamic Portfolio Rebalancing through Reinforcement Learning” published at Neural Computing and Application journal (IF 5.130): https://github.com/cao-q/Dynamic-portfolio-rebalancing-through-RL
Welcome to cite our paper:
Q. Y. E. Lim, Q. Cao, and C. Quek, “Dynamic portfolio rebalancing through reinforcement learning,” Neural Computing and Applications, vol. 34, no. 9, pp. 7125-7139, 2022. (https://doi.org/10.1007/s00521-021-06853-3). - Source codes for our paper titled “Dynamic Portfolio Rebalancing with Lag-Optimised Trading Indicators using SeroFAM and Genetic Algorithms” published at Expert Systems with Applications journal (IF 8.665): https://github.com/cao-q/Dynamic-portfolio-rebalancing-with-lag-optimised-trading-indicators
Welcome to cite our paper:
L. L. X. Yeo, Q. Cao, and C. Quek, “Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms,” Expert Systems with Applications, vol. 216, 2022. (https://doi.org/10.1016/j.eswa.2022.119440). - Source codes for our paper titled “Object-based illumination transferring and rendering for applications of mixed reality” published at the Visual Computer journal (IF 2.302): https://github.com/cao-q/Object-based-illumination-transferring-and-rendering-for-MR.git
Welcome to cite our paper:
D. Xu, Z. Li, and Q. Cao, “Object-based illumination transferring and rendering for applications of mixed reality,” The Visual Computer, vol. 38, no. 12, pp. 4251-4265, 2022. (https://doi.org/10.1007/s00371-021-02292-2).
Additional Information
His ResearchGate Link: https://www.researchgate.net/profile/Qi-Cao-27
His Google Scholar Link: https://scholar.google.com.sg/citations?user=qez76LoAAAAJ&hl=en
His LinkedIn page: https://sg.linkedin.com/in/qi-c-83208629
Publications
Granted Patents
- Qi Cao, A. Quintero, J. Jin, “Communicating Acoustically,” Patent granted in Australia on 13th Jul 2017; Patent granted in U.S. (No. 9,719,346) on 1st Aug. 2017. (https://patents.google.com/patent/US9719346B2/en)
- Qi Cao, C.W. Lim, A. Quintero, W.J. Schaecher, “Hybrid Amplitude Adjustment Algorithm for Resistivity Logging Tools,” Patent granted in U.S. (No. 9,772,424) on 26th Sep. 2017. (https://patents.google.com/patent/US9772424B2/en)
Journals
- Y. Chen, H. Lan, B. Hwee Gwee, Qi Cao, S. Gulam Razul and Z. Lin, “DQSA: Dynamic Quantized Self-Attention for Multi-Task Encrypted Network Traffic Classification,” in IEEE Transactions on Information Forensics and Security, vol. 21, pp. 304-318, 2026, https://doi.org/10.1109/TIFS.2025.3647211.
- Z. Z. Lua, C. K. Seow, R. C. B. Chan, Y. Cai, and Qi Cao, “Automated Bitcoin Trading dApp using Price Prediction from a Deep Learning Model,” Risks, 2025, 13(1), 17; https://doi.org/10.3390/risks13010017.
- L. Zhang, L. Zhang, Qi Cao, S. Kan, Y. Cen, F. Zhang, Y. Huang, “Feature Transformation Reconstruction (FTR) Network for Unsupervised Anomaly Detection,” International Journal of Intelligent Systems, 2025. https://doi.org/10.1155/int/1780499.
- X. J. L. Chin, C. K. Seow, Y. Cai, Y. Zhu, M. Wang, Qi Cao, “Enhancing Student Learning and Engagement with Object-Oriented Block-based Programming Tool,” International Journal of Information and Education Technology, 14(7), pp. 910-919, 2024. https://doi.org/10.18178/ijiet.2024.14.7.2117.
- J. Y. Wong, A. B. Azam, Qi Cao, L. Huang, Y. Xie, I. Winkler, Y. Cai, “Evaluations of Virtual and Augmented Reality Technology-Enhanced Learning for Higher Education,” Electronics, vol. 13, no. 8, 2024. https://doi.org/10.3390/electronics13081549.
- J. K. Sim, K. W. Xu, Y. Jin, Z. Y. Lee, Y. J. Teo, P. Mohan, L. Huang, Y. Xie, S. Li, N. Liang, Qi Cao, S. See, I. Winkler, Y. Cai, “Designing an Educational Metaverse: A Case Study of NTUniverse,” Applied Sciences, vol. 14, no. 6, 2024. https://doi.org/10.3390/app14062559.
- N. H. L. Kan, Qi Cao, and C. Quek, “Learning and Processing Framework using Fuzzy Deep Neural Network for Trading and Portfolio Rebalancing”, Applied Soft Computing, vol. 152, 2024. https://doi.org/10.1016/j.asoc.2024.111233.
- J. C. M. Tan, Qi Cao, and C. Quek, “FE-RNN: A Fuzzy Embedded Recurrent Neural Network for improving interpretability of underlying neural network”, Information Sciences, vol. 663, 2024. https://doi.org/10.1016/j.ins.2024.120276.
- H. Su, H. Gao, X. Wang, X. Fang, Q. Liu, G.-B. Huang, X. Li, Qi Cao, “Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning,” IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-10, 2024, https://doi.org/10.1109/TIM.2024.3472860.
- L. Shi, G. Zhang, Qi Cao, L. Zhang, Y. Cen, and Y. Cen, “DCPoint: global-local dual contrast for self-supervised representation learning of 3D point clouds,” IEEE Sensors Journal, 2024. https://doi.org/10.1109/JSEN.2024.3405079.
- L. J. H. Leow, A. B. Azam, H. Q. Tan, W. L. Nei, Qi Cao, L. Huang, Y. Xie, and Y. Cai. 2024. “A Convolutional Neural Network-Based Auto-Segmentation Pipeline for Breast Cancer Imaging” Mathematics, vol. 12, no. 4, 2024. https://doi.org/10.3390/math12040616.
- Qi Cao, C.K Seow, L.H.I Lim, S.L. Keoh, V. Dale, S. Honeychurch, N. Tasler, D. Bremner, “Learners’ Differences in Blended Learner Centric Approach for a Common Programming Subject,” International Journal of Information and Education Technology, vol. 13, no. 6, pp. 906-913, 2023. https://doi.org/10.18178/ijiet.2023.13.6.1886.
- S. Wang, Y. Chen, Z. Lin, Y. Cen, Qi Cao, “Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-view Subspace Clustering,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 11, pp. 6302 – 6316, 2023, https://doi.org/10.1109/TCSVT.2023.3266801.
- S. Wang, Z. Lin, Qi Cao, Y. Cen, Y. Chen, “Bi-nuclear tensor Schatten-p norm minimization for multi-view subspace clustering,” IEEE Transactions on Image Processing, vol. 32, pp. 4059 – 4072, 2023. https://doi.org/10.1109/TIP.2023.3293764.
- L. L. X. Yeo, Qi Cao, and C. Quek, “Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms,” Expert Systems with Applications, vol. 216, 2023. https://doi.org/10.1016/j.eswa.2022.119440.
- O. Elijah, S. L. Keoh, S. K. bin Abdul Rahim, C. K. Seow, Qi Cao, M. A. bin Sarijari, N. F. Ibrahim, A. Basuki, “Transforming urban mobility with internet of things: public bus fleet tracking using proximity-based Bluetooth beacons,” Frontiers in the Internet of Things, vol. 2, 2023. https://doi.org/10.3389/friot.2023.1255995.
- S. Chen, Qi Cao, Y. Cai, “Blockchain for healthcare games management,” Electronics, vol. 12, no. 14, 2023. https://doi.org/10.3390/electronics12143195.
- S. Yam, P.C.Y. Yau, C. Sum., Qi Cao, D. Wong, “Accessibility-as-a-service an open-source reading assistive tool for education,” Journal of Software, vol. 18, no. 3, pp. 106-116, 2023. https://doi.org/10.17706/jsw.18.3.106-116.
- Q.P. Tan, L. Huang, D. Xu, Y. Cen, and Qi Cao, “Serious game for VR road crossing in special needs education,” Electronics, vol. 11, no. 16, 2022. https://doi.org/10.3390/electronics11162568.
- X. Peng, R. Song, Qi Cao, Y. Li, D. Cui, X. Jia, Z. Lin, and G.-B. Huang, “Real-time illegal parking detection algorithm in urban environments,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, 2022. https://doi.org/10.1109/TITS.2022.3180225.
- Q.Y.E. Lim, Qi Cao, C. Quek, “Dynamic Portfolio Rebalancing through Reinforcement Learning,” Neural Computing and Applications, vol. 34, pp. 7125 – 7139, 2021. https://doi.org/10.1007/s00521-021-06853-3.
- D. Xu, Z. Li, Qi Cao, “Object-based illumination transferring and rendering for applications of mixed reality,” Visual Computer Journal, 2021. https://doi.org/10.1007/s00371-021-02292-2.
- Y. Qing, Y. Zeng, Qi Cao, G.B. Huang, “End-to-end novel visual categories learning via auxiliary self-supervision,” Neural Networks. vol. 139, pp. 24-32. 2021. https://doi.org/10.1016/j.neunet.2021.02.015.
- L. Zhu, Qi Cao and Y. Cai. “Development of augmented reality serious games with a vibrotactile feedback jacket,” Virtual Reality and Intelligent Hardware. vol. 2, no. 5, pp. 454-470. 2020. https://doi.org/10.1016/j.vrih.2020.05.005.
- Y. Zhang, Y. Jin, J. Chen, S. Kan, Y. Cen, Qi Cao. “PGAN: part-based nondirect coupling embedded GAN for person re-identification,” IEEE MultiMedia, vol. 27, no. 3, pp. 23-33. 2020. https://doi.org/10.1109/mmul.2020.2999445.
- Qi Cao, M.H. Lim, X. Shi, and J.H. Li, “A Multi-Context Processor for Real-Time Concurrent Tasks Fuzzy Reasoning,” Journal of Intelligent and Fuzzy Systems, vol. 24, no. 1, pp. 79-91, 2013. https://doi.org/10.3233/IFS-2012-0532.
- Qi Cao, M.H. Lim, J.H. Li, Y.S. Ong and W.L. Ng, “A Context Switchable Fuzzy Inference Chip,” IEEE Transactions on Fuzzy Systems, vol. 14, no. 4, pp. 552-567, Aug. 2006. https://doi.org/10.1109/TFUZZ.2006.876735.
- Qi Cao, M.H. Lim, K.V. Ling, J.H. Li and C.W. Chan, “Online Context Switching for Real Time Control Applications Using Reconfigurable Fuzzy Inference Chip,” International Journal of Computer Applications in Technology, vol. 27, no. 2/3, pp. 153-165, Nov. 2006.
- M.H. Lim, Qi Cao, J.H. Li and W.L. Ng, “Evolvable Hardware Using Context Switchable Fuzzy Inference Processor,” IEE Proceedings – Computers and Digital Techniques, vol. 151, no. 4, pp. 301-311, July 2004.
- M.H. Lim, J.H. Li and Qi Cao, “On-line Evolving Fuzzy Hardware System for ATM Cell-Scheduling”, Journal of Systems Architecture, vol. 52, no. 3, pp. 169-183, Mar. 2006.
- J.H. Li, M.H. Lim and Qi Cao, “A QoS-Tunable Scheme for ATM Cell Scheduling Using Evolutionary Fuzzy System”, Applied Intelligence, vol. 23, no. 3, pp. 207-218, Dec 2005.
Books
- K.-W. Huang, Qi Cao, R. Su (Eds.), “Financial Technology: 5th International Conference, ICFT 2024, Singapore, September 23–25, 2024, Proceedings”. Book Series: Communications in Computer and Information Science. Springer Singapore. March 2025. https://doi.org/10.1007/978-981-96-3811-6.
- Y. Cai, Qi Cao (Eds.), “When VR Serious Games Meet Special Needs Education: Research, Development and Their Applications”. Book Series: Gaming media and social effects. Publisher: Springer Nature. May 2021. https://doi.org/10.1007/978-981-33-6942-9.
Book Chapters
- E. C. Ang, Y. Cai, M. Wang, Qi Cao, “Educational Metaverse for Learning of CPU Scheduling Algorithms in Operating Systems,” In: Cai, Y., Ramnarain, U., Jieqiong Chen, J. (eds) Virtual and Augmented Reality Technology-Enhanced Learning. Gaming Media and Social Effects. 2025. Springer, Singapore. https://doi.org/10.1007/978-981-96-2332-7_8.
- Z. X. Tan, C. K. Seow, Y. Cai, Qi Cao, “Tree Pruning Simulation and Tree Growth Modelling,” In: Cai, Y., Ramnarain, U., Jieqiong Chen, J. (eds) Virtual and Augmented Reality Technology-Enhanced Learning. Gaming Media and Social Effects. 2025. Springer, Singapore. https://doi.org/10.1007/978-981-96-2332-7_7.
- N.M. Ko, C. Xie, Qi Cao, C. Quek, “GEMM-SAFIN (FRIE)++: Explainable Artificial Intelligence Visualisation System with Episodic Memory”, in Book: Daimi, K., Alsadoon, A., Coelho, L. (Eds), Cutting Edge Applications of Computational Intelligence Tools and Techniques, Publisher: Springer Cham, 2023. https://doi.org/10.1007/978-3-031-44127-1_12.
- Q.M. Tan, Qi Cao, C.K. Seow, P.C.Y. Yau, (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.) 19th International Conference Advanced Intelligent Computing Technology and Applications, Zhengzhou, China, 2023, Proceedings, Part IV. Series: Lecture notes in computer science (14089). Springer: Singapore. https://doi.org/10.1007/978-981-99-4752-2_7.
- G. Hoe, Qi Cao, J. Chen, Y. Cai, “Learning life skills through gaming for children with Autism Spectrum Disorder”, In book: Virtual and Augmented Reality, Simulation and Serious Games for Education. Publisher: Springer, pp. 61-80, 2021. https://doi.org/:10.1007/978-981-16-1361-6_6.
- S.E. Teoh, Qi Cao, Y. Cai, “Learning to Take a Shower Through VR Serious Gaming”, in Book: When VR Serious Games Meet Special Needs Education, pp. 3-29. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_2.
- Y.P. Chung, Qi Cao, Y. Cai, “Design of a Virtual Home for Special Needs Children to Learn Life Skills”, in Book: When VR Serious Games Meet Special Needs Education, pp. 31-61. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_3.
- Q. Zhang, Qi Cao, Y. Cai, “Learning to Cross Roads Through VR Playing”, in Book: When VR Serious Games Meet Special Needs Education, pp. 63-75. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_4.
- D. Lu, Qi Cao, Y. Cai, “Virtual Pink Dolphins and Lagoon”, in Book: When VR Serious Games Meet Special Needs Education, pp. 77-95. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_5.
- W.R. Liu, Qi Cao, Y. Cai, “Serious Game Design for Virtual Dolphin-Assisted Learning”, in Book: When VR Serious Games Meet Special Needs Education, pp. 97-112. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_6.
- S.M. Chan, Qi Cao, Y. Cai, “Evaluation of Serious Games for Special Needs Education”, in Book: When VR Serious Games Meet Special Needs Education, pp. 113-127. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_7.
- S. Chong, Qi Cao, Y. Cai, “Game-Assisted Vocational Training”, in Book: When VR Serious Games Meet Special Needs Education, pp. 129-142. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_8.`
- M.A. Aziz, Qi Cao, Y. Cai, “Design of a Home Bag-Packing Serious Game for Children with ASD”, in Book: When VR Serious Games Meet Special Needs Education, pp. 143-156. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_9.
- Z.H.J. Goh, Qi Cao, Y. Cai, “iPad Serious Game to Aid Children with Special Needs in Emotion Learning”, in Book: When VR Serious Games Meet Special Needs Education, pp. 157-175. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_10.
- J.H. Goh, Qi Cao, Y. Cai, “Design of a VR Supermarket Serious Game”, in Book: When VR Serious Games Meet Special Needs Education, pp. 177-197. Publisher: Springer Nature. 2021. https://doi.org/10.1007/978-981-33-6942-9_11.
- J.H. Li, M.H. Lim, Y.S. Ong and Qi Cao, “Evolvable Fuzzy Scheduling Scheme for Multiple-Channel Packet Switching Network”, in Book: Springer Series on Studies in Computational Intelligence (Evolutionary Scheduling), Springer Verlag, 2006.
- J.H. Li, M.H. Lim and Qi Cao, “Evolvable Fuzzy Hardware for Real-Time Embedded Control for Packet-Switching”, in Book: Evolvable Machines: Theory & Practice, Springer-Verlag, Heidelberg, vol. 161, 2004.
Conferences
- C. M. Gan, C. K. Seow, S. L. Keoh, D. Yao, Y. Cen, Y. Cai, N. Jain, Qi Cao, “ConfMan Web 3.0: Decentralized Academic Conference Management System with Rust and Web 3.0,” IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC 2025), July 2025, Toronto Canada. https://doi.org/10.1109/COMPSAC65507.2025.00237.
- J. Maguire, R. English, Qi Cao, C. K. Seow, “Themes in the Declared Use of Generative Artificial Intelligence in Assessment,” 9th Conference on Computing Education Practice, pp. 17-20, 2025. https://doi.org/10.1145/3702212.3702217.
- M. I. B. M. Hanafiah, Y. K. D. Loy, W. L. R. Ng, …, Qi Cao, et al., “Integration of SGD Elements in Surveyed Design of Portable Assessment Apps to Foster Inclusive and Equitable Learning and Teaching Quality Education,” 6th International Conference on Modern Educational Technology (ICMET 2024), 2024, Tokyo, Japan. pp. 40-47. https://doi.org/10.1145/3729434.3729455.
- F. Hoo, A Vashistha, FSL Tan, RCB Chan, P Waszecki, Y Pei, SR Yepuri, S. L. Keoh, C. K. Seow, M. Li, Qi Cao, “Robot Tele-Operations with 5G NR Sidelink,” 2025 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2025, pp. 1-4, https://doi.org/10.1109/ICCE63647.2025.10930163.
- Y. S. J. Cheng, A. Pang, H. E. I. Lim, S. W. H. Chan, W. X. L. Sim, M. Koko, Qi Cao, S. L. Keoh, “Strategies and Implications of Peer Assessment in Software Engineering Education,” IEEE Conference on Frontiers in Education (FIE 2024), Oct. 2024. Washington D.C., USA. https://doi.org/10.1109/FIE61694.2024.10892827.
- M. R. H. B. M. Riduwan, J. Z. M. Peng, J. W. D. Oh, J. H. Ng, C. R. Loh, S. Y. Ong, Qi Cao, P. C. Yau, “Exploring Peer Evaluation Methods in Group Projects of Software Engineering Education,” IEEE Conference on Frontiers in Education (FIE 2024), Oct. 2024. Washington D.C., USA. https://doi.org/10.1109/FIE61694.2024.10893587.
- E. M. Y. Chan, C. K. Seow, E. S. W. Tan, M. Wang, P. C. Y. Yau, Qi Cao, “SketchBoard: Sketch-Guided Storyboard Generation for Game Characters in the Game Industry,” 22nd IEEE International Conference on Industrial Informatics (INDIN 2024), Beijing, China, 2024. https://doi.org/10.1109/INDIN58382.2024.10774282.
- L. Shi, Qi Cao, G. Zhang, J. Yi, Y. Huang and Y. Cen, “Feature Rotation Invariance Learning for Point Cloud Analysis,” 2024 IEEE Smart World Congress (SWC), Fiji, 2024, pp. 1788-1793, https://doi.org/10.1109/SWC62898.2024.00275.
- H. J. K. Liow, P. C. Yau, L. Tang, C. K. Seow, Qi Cao, “Peer-Assessed (Evaluated) Automated Grading System: A Comprehensive Exploration with Emphasis on Batch Processing Data Visualization and Rigorous Peer Evaluation,” International Conference on Artificial Intelligence and Teacher Education, 2024. https://doi.org/10.1145/3702386.3702404.
- X. Li, K. Leong, C. K. Seow, N. Pugeault, Q. Cao, “Efficient Autonomous Exploration with Dueling DDQN Enhancing Active SLAM through Reinforcement Learning,” 9th International Conference on Robotics and Automation Engineering (ICRAE 2024), Singapore, 2024, pp. 123-130, https://doi.org/10.1109/ICRAE64368.2024.10851611.
- C. H. Yu, P. C. Y. Yau, Qi Cao, C. K. Seow, P. Pang, D. Wong, “Machine Learning-Enhanced Automation for Invoice Reconciliation: OCR-Based Solutions for Accuracy and Efficiency in Logistics Industry,” Intelligent Systems and Applications, 2024, pp 325–336. https://doi.org/10.1007/978-3-031-66336-9_23.
- Y. Tong, Y. Chen, G.B. Hwee, Qi Cao, S.G. Razul, Z. Lin, “A Method for Out-of-Distribution Detection in Encrypted Mobile Traffic Classification,” IEEE International Symposium on Circuits and Systems (ISCAS), Singapore, May 2024. https://doi.org/10.1109/ISCAS58744.2024.10558146.
- Y. X. Chia, C. K. Seow, K. Chen, Qi Cao, “Exploring Resource Prediction Models Based on Custom Kubernetes Auto-scaling Metrics,” 9th International Conference on Cloud Computing and Big Data Analytics, China, Apr. 2024. https://doi.org/10.1109/ICCCBDA61447.2024.10569815.
- S.W.D. Quek, J. Teo, N. Louahemmsabah, Y.B.C. Tong, A.Z.R. Poh, Qi Cao, C.K. Seow, P. Yau, A.Q. Chen, “Improving Teamwork in Software Engineering Projects in Higher Education,” 2023 IEEE ASEE Frontiers in Education Conference (FIE 2023), Texas, U.S., Oct. 2023. https://doi.org/10.1109/FIE58773.2023.10343476.
- Y.H.R.S. Sim, Z.Z. Lua, K.K. Kelaver, J.Q. Chua, I.Z.J. Lim, Qi Cao, S.L. Keoh, L.H.I. Lim, “Experiences and Lessons Learned from Real-World Projects in Software Engineering Subject,” 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023), Japan, Aug 2023. https://doi.org/10.1109/CSEET58097.2023.00036.
- K.H.A. Tan, Y. Cai, B.T. Lokesh, Y. Zhu, C. Su, Qi Cao, “VR Serious Game for Learning the Computer Organisation and Architecture Course,” 3rd International Conference on Educational Technology (ICET 2023), China, 2023. https://doi.org/10.1109/ICET59358.2023.10424233.
- E.S.W. Tan, M.R.B. Sani, N.A.S.B. Norshahid, A.W. Loo, T.M.M. Chuang, Qi Cao, “Teamwork Improvement in Group Projects of Professional Software Development,” 3rd International Conference on Educational Technology (ICET 2023), China, 2023. https://doi.org/10.1109/ICET59358.2023.10424397.
- Y. Zhu, K.C. How, H.J. Wu, Qi Cao, “AI-based Proactive Storage Failure Management in Software-Defined Data Centres”, 6th International Conference on Information Science and Systems, U.K., 2023. https://doi.org/10.1145/3625156.3625190.
- Q.Z. Ang, P.C.Y. Yau, C.S. Sum, Qi Cao, D. Wong, “Legacy Moderization: A Cloud Migration Strategy with Serverless Microservice Architecture”, 2023 International Conference on Intelligent Computing and Control, China, 2023. https://doi.org/10.1109/IC-C57619.2023.00017.
- Y. Chen, Y. Tong, G.B. Hwee, Qi Cao, S.G. Razul, Z. Lin, “Encrypted Mobile Traffic Classification with a Few-shot Incremental Learning Approach,” 18th IEEE Conference on Industrial Electronics and Applications (ICIEA 2023), Ningbo, China, Aug 2023. https://doi.org/10.1109/ICIEA58696.2023.10241782.
- Y. Chen, Y. Tong, G.B. Hwee, Qi Cao, S.G. Razul, Z. Lin, “Real-time Traffic Classification in Encrypted Wireless Communication Network,” IEEE International Symposium on Circuits and Systems (ISCAS 2023), USA, May 2023. https://doi.org/10.1109/ISCAS46773.2023.10181886.
- X. Xu, S.L. Keoh, C.K. Seow, Qi Cao, S.K.A. Rahim, “Towards Prediction of Bus Arrival Time using Multi-layer Perceptron (MLP) and MLP Regressor,” 8th International Conference on Business and Industrial Research, Thailand, May 2023. https://doi.org/10.1109/ICBIR57571.2023.10147614.
- Q.Q. Oh, C.K. Seow, M. Yusuff, S. Pranata, and Qi Cao, “The Impact of Face Mask and Emotion on Automatic Speech Recognition (ASR) and Speech Emotion Recognition (SER),” 8th International Conference on Cloud Computing and Big Data Analytics, 2023. https://doi.org/10.1109/ICCCBDA56900.2023.10154691.
- W.H. Lim, Y. Cai, D. Yao, Qi Cao, “Visualize and Learn Sorting Algorithms in Data Structure Subject in a Game-based Learning,” IEEE International Symposium on Mixed and Augmented Reality Workshop, 2022, https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00083.
- Y.X. Chia, K.H. Loh, Z.Y.B. Ong, J.X. Lim, J.K. Ooi, Qi Cao, P.C. Yau, L.H.I. Lim, “Sentiments Analysis and Feedback among Three Cohorts in Learning Software Engineering Modules,” 2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2022. https://doi.org/10.1109/TALE54877.2022.00025.
- Y.C. Chan, C.M. Gan, C.Y. Lim, T.H. Tan, Qi Cao, C.K. Seow, “Learning CS Subjects of Professional Software Development and Team Projects,” 2022 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2022. https://doi.org/10.1109/TALE54877.2022.00020.
- M.J.Q., Thong, A.Q.X., Yau, S.A., Goh, J., Gu, Qi Cao, and S.L. Keoh, “Learning Experiences and Analysis in Professional Software Development Subject,” 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 2022. https://doi.org/10.1109/TALE54877.2022.00123.
- Y.C.A. Gam, Qi Cao, and C.K. Seow, “Predictive Information Workflow of Forecasting Number of COVID-19 Confirmed Cases,” IEEE International Conference on Ubiquitous Computing and Communications, 2022. https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS57392.2022.00018.
- S. Wetprasit, Qi Cao, and C.K. Seow, “Recommender System for Coupon Discount of E-commerce Applications,” 5th International Conference on Data Science and Information Technology, 2022, https://doi.org/10.1109/DSIT55514.2022.9943917.
- X. Peng, Y. Lin, Qi Cao, Y. Cen, H. Zhuang, and Z. Lin, “Traffic Anomaly Detection in Intelligent Transport Applications with Time Series Data Using Informer,” 25th IEEE International Conference on Intelligent Transportation Systems, 2022, https://doi.org/10.1109/ITSC55140.2022.9922142.
- R. Song, C. Kasun, Qi Cao, X. Peng, G.-B. Huang, Z. Lin, “Motion Embedding for On-road Motion Object Detection for Intelligent Vehicle Systems,” 25th IEEE International Conference on Intelligent Transportation Systems, 2022, https://doi.org/10.1109/ITSC55140.2022.9922305.
- P.C.Y. Yau, Y. Kim, D. Wong, P. Pang, S. Kan, Qi Cao, “What Students Want to Have in the Post-Pandemic? A Study about Computing Science Study Preferences and Mode of Study in Southeast Asia,” 5th International Conference on Education Technology Management, UK, Dec. 2022. https://doi.org/10.1145/3582580.3582591.
- Z. Feng, C.K. Seow, and Qi Cao, “GNSS Anti-spoofing Detection based on Gaussian Mixture Model Machine Learning,” 25th IEEE International Conference on Intelligent Transportation Systems, 2022, https://doi.org/10.1109/ITSC55140.2022.9922109.
- Qi Cao, B.T. Png, Y. Cai, Y. Cen, D. Xu, “Interactive Virtual Reality Game for Online Learning of Science Subject in Primary Schools,” IEEE International Conference on Engineering, Technology, and Education (TALE 2021), China, Dec 2021. https://doi.org/10.1109/TALE52509.2021.9678916.
- Qi Cao, L.H.I. Lim, V. Dale, N. Tasler, “Experiences in Python Programming Laboratory for Civil Engineering Students with Online Collaborative Programming Platform,” 14th annual International Conference of Education, Research and Innovation, Spain, 2021. https://doi.org/10.21125/iceri.2021.1305.
- Y. Cai, Q.C.E. Teo, Qi Cao, R.A. Ba, S.F. Taib, J. Chen, “Virtual and Augmented Reality Technology Help Learning of Biology in Secondary Schools”, 13th Annual International Conference on Education and New Learning Technologies, 2021.
- Y. Cai, Qi Cao, “VR Serious Games for Special Needs Education on Living Skills Training”, 13th Annual International Conference on Education and New Learning Technologies, Jul. 2021.
- J.S.A., Lee, M.F., Bin Abbas, C.K. Seow, Qi Cao, K.P. Yar, S.L., Keoh, I. McLoughlin, “Non-verbal auditory aspects of human-service robot interaction,” IEEE International Conference on Service Operations and Logistics, & Informatics, 2021. https://doi.org/10.1109/SOLI54607.2021.9672366.
- Y.H. Chu, S.L. Keoh, C.K. Seow, and Qi Cao, K. Wen, S.Y. Tan, “GPS Signal Authentication Using a Chameleon Hash Keychain,” Critical Infrastructure Protection XV, 2021, https://doi.org/10.1007/978-3-030-93511-5_10.
- Qi Cao, M.H. Lim, “FPGA-based Built-in Testbed for Command Interpretations and Computational Load Distribution,” 12th International Symposium on Integrated Circuits, Dec. 2009.
- Qi Cao, L. Song, X. Shi and J. H. Li, “Multi-Tasking of Fuzzy Inference Processor Through Real-Time Context Switching,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2009.
- Qi Cao, M. H. Lim and J. H. Li, “A Novel Aggregation Circuit for Reconfigurable Fuzzy Inference Chip,” 2nd International Conference on Artificial Intelligence in Engineering and Technology, Aug. 2004.
- Qi Cao, M. H. Lim, K. V. Ling, C. W. Chan and J. H. Li, “A Digital Prototyping Realization for A Context Switchable Reconfigurable Fuzzy Inference Chip”, 10th International Symposium on Integrated Circuits, Devices & Systems, Sep. 2004.
- J.H. Li, M.H. Lim and Qi Cao, “An Intrinsic Evolvable and Online Adaptive Evolvable Fuzzy Hardware Scheme for Packet Switching Network “, NASA/DoD Conference on Evolvable Hardware-2004, Jun. 2004.
- J.H. Li, M.H. Lim and Qi Cao, “An Evolvable Fuzzy Hardware Scheme for Packet- Switching Network”, 2nd International Conference on Artificial Intelligence in Engineering and Technology, Aug. 2004.