Hui Yu is a Professor with the University of Glasgow. He leads the Visual and Cognitive Computing Group at the university. His research interests lie in visual and cognitive computing as well as machine learning with applications to 4D facial expression modelling and analysis, human-machine interaction, intelligent vehicle, and video analysis. Professor Yu’s research work has led to several awards and successful collaboration with worldwide institutions and industries. He is the Associate Vice President of IEEE Systems, Man, and Cybernetics Society and a Scientific Advisor for some high-tech companies in the UK. Prof. Yu is the PI on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry. He has been awarded Industrial Fellowship by the Royal Academy of Engineering. He serves as an Associated Editor for IEEE Transactions on Human-Machine Systems, IEEE Transactions on Computational Social Systems, IEEE Transactions on Intelligent Vehicles and IEEE/CAA Journal of Automatica Sinica.

• 1. PrograBot: An Interactive Robotics Kit to Boost Programming Skills.- 2. Expanding Online Education at Academic Institutions by Incorporating AI and IoT.- 3. Empowering University AI Assistants: Improving LLM Performance with RAG and Self-Evaluation.- 4. University students’ perceptions of artificial intelligence based tools beyond text generation.- 5. Enhancing Food Science and Technology Education through AI: An Investigation of Critical Success Factors.

Hui Yu is a Professor with the University of Glasgow. He leads the Visual and Cognitive Computing Group at the university. His research interests lie in visual and cognitive computing as well as machine learning with applications to 4D facial expression modelling and analysis, human-machine interaction, intelligent vehicle, and video analysis. Professor Yu’s research work has led to several awards and successful collaboration with worldwide institutions and industries. He is the Associate Vice President of IEEE Systems, Man, and Cybernetics Society and a Scientific Advisor for some high-tech companies in the UK. Prof. Yu is the PI on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry. He has been awarded Industrial Fellowship by the Royal Academy of Engineering. He serves as an Associated Editor for IEEE Transactions on Human-Machine Systems, IEEE Transactions on Computational Social Systems, IEEE Transactions on Intelligent Vehicles and IEEE/CAA Journal of Automatica Sinica.

• 1. PrograBot: An Interactive Robotics Kit to Boost Programming Skills.- 2. Expanding Online Education at Academic Institutions by Incorporating AI and IoT.- 3. Empowering University AI Assistants: Improving LLM Performance with RAG and Self-Evaluation.- 4. University students’ perceptions of artificial intelligence based tools beyond text generation.- 5. Enhancing Food Science and Technology Education through AI: An Investigation of Critical Success Factors.

Hui Yu is a Professor with the University of Glasgow. He leads the Visual and Cognitive Computing Group at the university. His research interests lie in visual and cognitive computing as well as machine learning with applications to 4D facial expression modelling and analysis, human-machine interaction, intelligent vehicle, and video analysis. Professor Yu’s research work has led to several awards and successful collaboration with worldwide institutions and industries. He is the Associate Vice President of IEEE Systems, Man, and Cybernetics Society and a Scientific Advisor for some high-tech companies in the UK. Prof. Yu is the PI on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry. He has been awarded Industrial Fellowship by the Royal Academy of Engineering. He serves as an Associated Editor for IEEE Transactions on Human-Machine Systems, IEEE Transactions on Computational Social Systems, IEEE Transactions on Intelligent Vehicles and IEEE/CAA Journal of Automatica Sinica.

• 1. PrograBot: An Interactive Robotics Kit to Boost Programming Skills.- 2. Expanding Online Education at Academic Institutions by Incorporating AI and IoT.- 3. Empowering University AI Assistants: Improving LLM Performance with RAG and Self-Evaluation.- 4. University students’ perceptions of artificial intelligence based tools beyond text generation.- 5. Enhancing Food Science and Technology Education through AI: An Investigation of Critical Success Factors.