1. The Role of Symmetry in Human and Computer Vision (Prof Sven Dickinson)
2. From Fundamental Machine Learning to Data-Driven Science and AI in Society: Research at RIKEN-AI (Prof Masashi Sugiyama)
3. Computer Vision and Graphics for Real-World Challenges (Prof Yeung Sai-Kit)
4. Towards Green AI: Efficient Transformers for Visual Recognition (Prof Cai Jianfei)
5. Metaheuristics for Designing Efficient Experiments for Complex Biomedical Studies (Prof Wong Weng Kee)
6. AI for Design and Manufacturing toward Digital Transformation (Prof Kim Sang-Gook)
7. Open Challenges in Detecting Sophisticated and Photorealistic Deep Fake Images (Prof Ajay Kumar)
8. GAN, GAN Beyond: From Medical Imaging Reconstruction to Synthesis (Dr Yang Guang)
9. Where is the Research on Evolutionary Multi-objective Optimisation Heading to? (Prof Carlos Artemio Coello Coello)
10. Computing with Physical Systems (Prof Peter McMahon)
11. Multimodal Deepfakes Detection (Prof Abhinav Dhall)
12. The Large Agent Collider: Towards Robust Agent-based Modelling at Scale (Prof Michael Wooldridge)
13. Adversarial Machine Learning and Defense Strategies (Prof Dipankar Dasgupta)

1. Ensembling over Classifiers: a Bias-Variance Perspective (Dr Zelda Mariet)
2. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (Dr Tay Yi)
3. Representation Learning Without Human Annotation (Dr Li Junnan)
4. AI for Public Health (Dr Bryan Wilder)
5. Machine Learning for Drug Discovery (Prof Sungsoo Ahn)
6. Nearest Neighbor Methods with Applications in Functional Estimation and Machine Learning (Dr Zhao Puning)
7. Robust VisIntel: A Road towards Robustness of Visual Intelligence (Dr Guo Qing)
8. Label-noise Learning Beyond Class-conditional Noise (Dr Niu Gang)
9. Learning for Reliable Control in Dynamical Systems (Prof Yue Yisong)
10. Learned Models for Efficient Simulation and Design (Dr Kimberly Stachenfeld)
11. Discrete and Stochastic Aspect of Cognitively Inspired Machine Learning (Dr Liu Dianbo)
12. Deep Learning of the Unknowns: Anomaly and Out-of-distribution Detection Perspectives (Dr Pang Guansong)

1. Image and Video Super-Resolution in the Wild (Mr Kelvin C.K. Chan)
2. Enhancing & Assessing Trustworthy AI using Out-of-Distribution Detection (Mr David Berend)
3. The Dynamics of Reinforcement Learning (Ms Clare Lyle)
4. Perceive and Reason About The Physical World (Mr Duan Jiafei)
5. Conformal Time-series Forecasting (Ms Kamilė Stankevičiūtė)
6. Incorporating Diversity and Consistency in Semi-supervised Learning (Mr Arun Raja)
7. Embedding Physical Knowledge into Deep Learning Models for Efficient and Robust Learning (Dr. Filipe de Avila Belbute-Peres)