Qi CAO (0000-0003-3243-5693)

Personal information

Biography

Dr. Qi Cao is currently an Associate Professor with the School of Computing Science, University of Glasgow. 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.

His research interests include Computational Intelligence for Financial Data Analytics, Computing Science Education, Software Engineering Education, Technology Enhanced Learning with Virtual Reality (VR) and Augmented Reality (AR).

Awards:

(1). IEEE MultiMedia 2020 Best Paper Award Runner-Up.

Our paper, "PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification," has been recognized as the runner-up for the 2020 Best Paper Award from IEEE MultiMedia by the IEEE Computer Society Publications Board.

An announcement has been posted online here: https://www.computer.org/publications/best-paper-award-winners
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.

His university webpage is: https://www.gla.ac.uk/schools/computing/staff/qicao/.

He has been with several organizations for many years research experiences, and as the first inventor of 2 granted US patents.

- Associate Professor, School of Computing Science, University of Glasgow, (2024 - Present).
- Assistant Professor, School of Computing Science, University of Glasgow, (2019 - 2024).
- Senior Manager, Government Technology Agency, (2018 - 2019).
- Assistant Director/Joint Program Manager, Nanyang Technological University (NTU), Singapore, (2013 - 2018).
- Senior Technical Professional, Halliburton, (2011 - 2013).
- Research Scientist, Agency for Science, Technology and Research (A*STAR), (2009 - 2011).
- Senior Engineer, ST Electronics, (2007 - 2009).
- Engineer, Seagate Technology, (2005 - 2007).

Call for Papers (CFP) with: Special Issue on "Virtual & Augmented Reality and Digital Twins", in an open access journal “Electronics” (ISSN 2079-9292; CODEN: ELECGJ, IF 2.397, indexed by Science Citation Index Expanded (SCIE) and Scopus).

Prospective authors are cordially invited to submit your research findings to this special issue, and share your innovative work with our readers.

Papers submission deadline will be on 30 April 2022.

Please also help forward this CFP to your networks (e.g., your colleagues, research teams and students) in relevant fields. More information can be found at the Journal “Electronics” website:
https://www.mdpi.com/journal/electronics/special_issues/VRAR_DT

Activities

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University of Glasgow: Singapore, Singapore, SG

Associate Professor (School of Computing Science)

Employment

Qi CAO

https://orcid.org/0000-0003-3243-5693

Personal information

Other IDs

Biography

Activities

Employment (1)

University of Glasgow: Singapore, Singapore, SG

Education and qualifications (2)

Nanyang Technological University: Singapore, Singapore, SG

Huazhong University of Science and Technology: Wuhan, Hubei, CN

Works (50 of 65)

Automated Bitcoin Trading dApp Using Price Prediction from a Deep Learning Model

Themes in the Declared Use of Generative Artificial Intelligence in Assessment

Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning

Exploring Peer Evaluation Methods in Group Projects of Software Engineering Education

Strategies and Implications of Peer Assessment in Software Engineering Education

Peer-Assessed (Evaluated) Automated Grading System

SketchBoard: Sketch-Guided Storyboard Generation for Game Characters in the Game Industry

DCPoint: Global-Local Dual Contrast for Self-Supervised Representation Learning of 3-D Point Clouds

Exploring Resource Prediction Models Based on Custom Kubernetes Auto-scaling Metrics

Evaluations of Virtual and Augmented Reality Technology-Enhanced Learning for Higher Education

Designing an Educational Metaverse: A Case Study of NTUniverse

FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network

Learning and processing framework using Fuzzy Deep Neural Network for trading and portfolio rebalancing

A Convolutional Neural Network-Based Auto-Segmentation Pipeline for Breast Cancer Imaging

Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering

Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering

AI-based Proactive Storage Failure Management in Software-Defined Data Centres

Blockchain for Healthcare Games Management

Object-based illumination transferring and rendering for applications of mixed reality

Predictive Information Workflow of Forecasting Number of COVID-19 Confirmed Cases

What Students Want to Have in the Post-Pandemic?

Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms

Real-Time Illegal Parking Detection Algorithm in Urban Environments

Visualize and Learn Sorting Algorithms in Data Structure Subject in a Game-based Learning

GNSS Anti-spoofing Detection based on Gaussian Mixture Model Machine Learning

Motion Embedding for On-road Motion Object Detection for Intelligent Vehicle Systems

Traffic Anomaly Detection in Intelligent Transport Applications with Time Series Data using Informer

Serious Game for VR Road Crossing in Special Needs Education

Recommender System for Coupon Discount of E-commerce Applications

Dynamic portfolio rebalancing through reinforcement learning

GPS Signal Authentication Using a Chameleon Hash Keychain

Non-Verbal Auditory Aspects of Human-Service Robot Interaction

Interactive Virtual Reality Game for Online Learning of Science Subject in Primary Schools

EXPERIENCES IN PYTHON PROGRAMMING LABORATORY FOR CIVIL ENGINEERING STUDENTS WITH ONLINE COLLABORATIVE PROGRAMMING PLATFORM

Learning Life Skills Through Gaming for Children with Autism Spectrum Disorder

End-to-end novel visual categories learning via auxiliary self-supervision

VIRTUAL & AUGMENTED REALITY TECHNOLOGY HELP LEARNING OF BIOLOGY IN SECONDARY SCHOOLS

VR SERIOUS GAMES FOR SPECIAL NEEDS EDUCATION ON LIVING SKILLS TRAINING

Design of a Home Bag-Packing Serious Game for Children with ASD

Design of a Virtual Home for Special Needs Children to Learn Life Skills

Design of a VR Supermarket Serious Game

Evaluation of Serious Games for Special Needs Education

Game-Assisted Vocational Training

iPad Serious Game to Aid Children with Special Needs in Emotion Learning

Learning to Cross Roads Through VR Playing

Learning to Take a Shower Through VR Serious Gaming

Serious Game Design for Virtual Dolphin-Assisted Learning

Virtual Pink Dolphins and Lagoon

When VR Serious Games Meet Special Needs Education

Development of augmented reality serious games with a vibrotactile feedback jacket

Peer review (4 reviews for 4 publications/grants)