2026年8月28日，2026年人工智能与智慧城市国际学术会议（IC-AISC 2026）通过 Zoom 平台成功举办。来自中国、澳大利亚、印度、日本、加拿大等国家和地区的专家学者云端相聚，围绕机器学习、智能电力系统、智慧城市、飞行训练器验证、社区政策文本分析以及医疗供应链等前沿议题展开深入交流，共同探讨人工智能赋能智慧城市的新路径。
本次会议得到广东工业大学自动化学院的鼎力支持，汇聚了全球人工智能与智慧城市领域的研究力量，为线上线下学者搭建了高水平的学术交流平台。
On August 28, 2026, the 2026 International Conference on Artificial Intelligence and Smart City (IC-AISC 2026) was successfully held online via Zoom. Experts and scholars from China, Australia, India, Japan, Canada, and other countries gathered in the cloud to exchange insights on machine learning, smart power systems, smart cities, flight training device qualification, community policy text analysis, and temperature-sensitive medical supply chains.
| ① | 开幕致辞 Opening Ceremony: A Global Academic Gathering Online |
8月28日下午14:00，会议在 Zoom 平台正式开幕。组委会代表致开幕辞，向来自世界各地的参会嘉宾表示热烈欢迎，并期待以本次会议为纽带，深化人工智能与智慧城市领域的国际学术交流与合作，共同推动相关技术在能源、交通、城市治理等场景的落地应用。
At 14:00 on August 28, the conference officially opened on Zoom. On behalf of the organizing committee, the host extended a warm welcome to participants from around the world and expressed the hope that this conference would serve as a bridge for international academic exchange in AI and smart cities.
| ② | 主旨报告 Keynote Speeches: Frontiers of AI and Smart City |
| ③ | 口头报告 Oral Presentations: Young Scholars and Cross-Border Perspectives |
1. 马欢欢 中国民航大学 · Civil Aviation University of China 报告题目 / TOPIC 基于本体和规则推理的飞行训练器鉴定的形式化验证方法 A Formal Verification Method for Flight Training Device Qualification Based on Ontology and Rule-Based Reasoning |
2. 庞峥琦 浙江大学 · Zhejiang University, China 报告题目 / TOPIC 面向智慧社区碎片化表格政策文本的大型语言模型对比研究 Comparing Large Language Models for Fragmented Tabular Policy Texts in Smart Communities |
3. Mathew Adah Okwoli 神户情报大学院大学 · Kobe Institute of Computing, Japan 报告题目 / TOPIC 整合人工智能、物联网和循环经济原则用于温度敏感型医疗供应链 Integrating AI, IoT and Circular Economy Principles for Temperature-Sensitive Medical Supply Chains |
4. Kevin Igweh 阿尔戈马大学 · Algoma University, Canada 报告题目 / TOPIC 绕开城市大数据中的生成式收敛：面向公共资源发现的多智能体方法 Bypassing Generative Convergence in Urban Big Data: A Multi-Agent Approach to Civic Resource Discovery |
圆满落幕Successfully Concluded
在全球加速迈向智能化、可持续化城市发展的背景下，人工智能与智慧城市领域的交叉创新正迎来前所未有的机遇。本次线上会议的成功举办，为来自不同国家和地区的学者搭建了高效便捷的学术交流平台，促进了机器学习、智能电力系统、城市大数据治理等前沿议题的深度对话。
感谢广东工业大学自动化学院的支持，感谢所有主讲嘉宾与口头报告人的精彩分享，也感谢每一位参会者的积极参与。期待未来与各位再次相聚，共同推动人工智能赋能智慧城市的创新实践。
Against the backdrop of accelerating global urban intelligence and sustainable development, the conference provided an efficient platform for scholars from different countries to engage in in-depth dialogue on machine learning, smart power systems, and urban big data governance. We look forward to reuniting with all participants at future events.
云端相聚，智慧同行，学术盛宴，圆满收官。
期待来年再会！
Gathered in the cloud, advancing wisdom together. We look forward to meeting again!
2026年8月28日 · August 28, 2026 · 线上 Online
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