
Volume 3 · Forthcoming
Advances in Trustworthy AI and Intelligent IoT Systems: TAIIS 2026 Poster Proceedings
Expected date of publication: January 2027
Pages: 219
Edited by: Kwok Tai Chui (Hong Kong Metropolitan University, Hong Kong) and Chi-Wen Lung (Asia University, Taiwan)
- ISBN
- To be assigned
Advances in Trustworthy AI and Intelligent IoT Systems: Selected Papers from TAIIS 2026 Poster Proceedings brings together selected papers from the poster programme of the International Conference on Trustworthy AI and Intelligent IoT Systems (TAIIS 2026), scheduled for December 3–5, 2026, at Asia University, Taichung, Taiwan. The volume highlights emerging ideas, preliminary research findings, and practical approaches to developing reliable, explainable, secure, and privacy-preserving AI and IoT systems.
Topics span machine learning, deep learning, generative AI, cybersecurity, intelligent IoT architectures, edge and cloud computing, and cyber-physical systems. The selected contributions explore applications in healthcare, transportation, industrial automation, smart cities, and sustainable digital infrastructure, addressing challenges in interconnected and evolving environments.
Reflecting the exploratory nature of poster presentations, this collection encourages discussion, knowledge exchange, and further research. It offers researchers, academics, postgraduate students, and industry practitioners a resource for exploring emerging methods, applications, and research directions in trustworthy AI and intelligent IoT systems.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
- Trustworthy, responsible, and explainable AI.
- AI, machine learning, and deep learning.
- Generative AI, LLMs, and foundation models.
- Agentic AI and autonomous systems.
- Intelligent IoT and industrial IoT.
- AI-driven cybersecurity and threat detection.
- Privacy-preserving computing and secure analytics.
- Edge, fog, and cloud computing.
- Federated learning and distributed AI.
- Smart sensors, embedded systems, and devices.
- Cyber-physical systems and automation.
- Blockchain and decentralized IoT security.
- Smart healthcare and medical IoT.
- Intelligent transportation and autonomous mobility.
- Smart cities, homes, and sustainable IoT.
- AI-enabled robotics.
- Big data analytics and decision support.
- Wireless communication and 5G/6G networks.
- Energy-efficient AI and green IoT.
- Digital twins and intelligent industry.
- Adversarial learning and robust AI.
- Human-centered AI and human–machine interaction.
- Emerging technologies for connected systems.
Keywords: Trustworthy AI, Intelligent IoT, Generative and Agentic AI, Cybersecurity, Edge–Cloud Computing, Federated Learning, Smart Systems, Digital Twins, Sustainable Computing
Table of Contents:
Coming soon.
Readership: Researchers, academics, postgraduate students, and industry professionals in AI, IoT, cybersecurity, edge–cloud computing, and next-generation networks.
