2026 6th International Conference on Big Data, Artificial Intelligence and Risk Management（ICBAR 2026）

As a leading role in the global megatrend of scientific innovation, We has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future.

2026 6th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2026) will be held in Macau,China on December 10-12, 2026. Since the beginning of the 21st century, the progress of big data, artificial intelligence and risk management science has promoted the prosperity and development of the society and economy. Many universities and enterprises have developed many related technologies and products, and have achieved fruitful academic results and application transformation. The purpose of the conference is to provide experts, scholars, engineering technicians, and R&D personnel engaged in big data, artificial intelligence and risk management technology with a way to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote A platform for cooperation in the industrialization of academic achievements. The conference sincerely invites experts from domestic and foreign universities, scientific research institutions, scholars, business people and other relevant personnel to participate in the conference.

Min Chen is a tenured full professor in School of Computer Science and Engineering at South China University of Technology. He was the director of Embedded and Pervasive Computing (EPIC) Lab at Huazhong University of Science and Technology. His Google Scholar Citations reached 49,700+ with an H-index of 101. His top paper was cited 5,200+ times. He was selected as ESI Highly Cited Researcher from 2018 to 2025. He got IEEE Communications Society Fred W. Ellersick Prize in 2017, the IEEE Jack Neubauer Memorial Award in 2019, and IEEE ComSoc APB Oustanding Paper Award in 2022. His research focuses on cognitive computing, 5G Networks, wearable computing, big data analytics, robotics, emotion detection, mobile edge computing, LLM and fabric computing etc. He is an IEEE Fellow since 2021.