Special Session II: Recent trends in Artificial Intelligence and interdisciplinary aspects
Artificial Intelligence (AI) aims to be at the forefront of disseminating scientific knowledge and impactful discoveries to academics, policy-makers, industry, and the public worldwide. In a broader aspect, AI is understood as the computational tools to sense the meaning out of complex Big Data. These datasets can only be mined by humans after the machines are trained on them to make them perform human-like tasks.
Submissions are welcome in this special track to publish novel AI research problems on novel AI techniques that bring the AI suite of methods to practical use in cross discipline boundaries. Submissions to this special track should report original, significant and previously unpublished results on any aspect of artificial intelligence research.
Recent trends in Artificial Intelligence will be the nexus for AI Research to provide a unified platform for innovative research in core and applied AI areas. The special track currently features the following topics but are not limited to:
- Machine Learning
- Knowledge representation, reasoning and planning
- Decision support systems
- Fuzzy Systems
- Learning and adaptation
- AI for Human Learning and Behavior Change
- AI in Business
- Human-agent interaction
- AI in Food, Agriculture and Water
- Natural Language Processing
- Pattern Recognition
- Big Data and AI
- semi-supervised and unsupervised learning
- Reinforcement learning
- Innovative applications
Submission Guidelines:
Chairman: Prof. Yi-Zeng Hsieh, National Taiwan University of Science and Technology, Taiwan
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Yi-Zeng Hsieh (Senior Member, IEEE; Member IET) received his B.S., M.S., and Ph.D. degrees in Computer Science and Information Engineering from National Central University, Taiwan, in 2004, 2006, and 2012, respectively. In 2023, he was recognized as an Outstanding Young Scholar by the IEEE Consumer Technology Society. He has authored over 70 journal and refereed conference papers. Currently, he is a professor in the Department of Electrical Engineering at National Taiwan University of Science and Technology, Taipei, Taiwan. He is also a Senior Member of both the IEEE Consumer Technology Society and the IEEE Signal Processing Society. He serves a Member of both IET Taipei Local Network and IET Japan Local Network. Additionally, he serves as an associate editor for multiple IEEE Transactions. His research interests include deep learning, machine learning, neural networks, pattern recognition, image processing, computer vision, and swarm intelligence.