Theme issue: Emerging Advances in Ubiquitous Artificial Intelligence: Trends, Challenges, and Future Research Directions [CFP]

Personal and Ubiquitous Computing
Personal and Ubiquitous Computing

Guest Editors

Sang-Bing Tsai WUYI University, China,
Chia-Huei Wu Minghsin University of Science and Technology, Hsinchu, Taiwan
Jian Mou Pusan National University, South Korea
Ubiquitous Artificial Intelligence will be capable of seeing, reasoning, and taking action based on context awareness, allowing multiple devices to function concurrently and so enhancing almost every experience.
Embedded in wearable devices operating in next-generation networks and using edge computing, federated learning, blockchains, applied natural language processing and quantum computing, the applications of ubiquitous AI are many, and include fully automated self-driving cars or the production of new vaccines.
Some of the major obstacles to realising ubiquitous artificial intelligence are data gathering, data organization, compatibility with computing elements, on-device performance optimization, heterogeneous computing and power efficiency.


Topics of interest include but are not restricted to:
Self-configuring and self-optimizing mechanisms for ubiquitous AI
Heterogeneous computing
Power efficiency optimization
Federated learning for multiple decentralized edge devices
Ubiquitous artificial intelligence for an space-air-ground integrated framework
Blockchain security and privacy concerns
Quantum machine learning
Adversarial Networks
ubiquitous and pervasive computing for sustainable ecosystems
Context-awareness and fault-tolerant mechanisms

Important Dates

Submissions: November 05, 2022
First reviews: February 15, 2023
Second reviews: May 20, 2023
Final decisions: August 28, 2023


Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high-quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% new content).
Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at .
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