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BDAI 2026 | Chongqing, China

BDAI 2026 | Chongqing, China | July 3-5, 2026

As big data and artificial intelligence continue to develop in an integrated manner, their research and applications are accelerating their expansion into multiple fields. On July 4, 2026, the 9th International Conference on Big Data and Artificial Intelligence (BDAI 2026) opened in Chongqing. The conference was co-sponsored by Chongqing University of Science and Technology, the IEEE China Council, and IEEE, bringing together more than a hundred experts and scholars from domestic and international universities, research institutions, and enterprises to engage in in-depth discussions on the latest advances in big data and artificial intelligence in areas such as model methods, system architecture, and industry applications.

随着大数据与人工智能不断融合发展,其研究与应用正加速向多领域延伸。2026年7月4日,第九届大数据与人工智能国际会议(BDAI 2026)在重庆开幕。本次会议由重庆科技大学,IEEE中国联合会与IEEE联合主办,汇聚了来自国内外高校、科研机构及企业的百余位专家学者,围绕大数据与人工智能在模型方法、系统架构及行业应用等方面的最新进展展开深入讨论。  

中国日报新闻链接:https://cn.chinadaily.com.cn/a/202607/06/WS6a4b47ffa310d709c2fbbfdb.html 

 

BDAI2026 Group Photo 

Conference Proceedings

BDAI2026 Conference Proceedings - Cover

Papers of BDAI2026 are indexed by Ei Compendex and Scopus!  

   

Photo Gallery

At the opening, Professor Guan Shengwei of Xi'an Jiaotong-Liverpool University delivered the opening address. He noted that big data and AI are deeply integrating and rapidly iterating, with basic research closely linked to industrial applications and interdisciplinary, cross-sector innovation becoming increasingly prominent. Against this backdrop of technological and industrial upgrading, building an international, high-level academic exchange platform is of far-reaching significance. The opening ceremony was chaired by Professor Peng Jun, Dean of the School of Mathematics and Physical Sciences at Chongqing University of Science and Technology.
大会开幕,西交利物浦大学关圣威教授致开幕辞。他表示,当前大数据与人工智能深度融合、加速迭代,基础研究与产业应用深度衔接,学科交叉、跨界协同创新特征愈发明显,在技术革新与产业升级的背景下,建设国际化、高层次学术交流平台意义深远。本次会议聚焦大数据与人工智能前沿技术与产业关键问题,覆盖模型方法、系统架构、行业应用等核心领域,致力促进学术思想交融、技术成果共享与产学研协同创新,凝聚行业共识、激发创新活力,助力大数据与人工智能领域高质量发展。 大会开幕式由重庆科技大学数理科学院院长彭军教授主持。

 

学术报告环节,香港中文大学协理副校长(教育)金国庆教授(ACM/IEEE/AAAI/INNS Fellow),加拿大卡尔加里大学 & 重庆科技大学王迎旭教授(IEEE Fellow)、四川大学匹兹堡学院 & 四川大学华西医院大数据中心李康教授分别从可信智能体系统、自主人工智能演进及AI医疗应用等方向作主旨报告。 

 

Keynote Speaker: Prof. Irwin King, The Chinese University of Hong Kong, Hong Kong, China

 

Keynote Speaker: Prof. Yingxu Wang, University of Calgary, Canada & Chongqing University of Science and Technology, China

 

Keynote Speaker: Prof. Kang Li, Sichuan University Pittsburgh Institute (SCUPI), China

重庆大学陈正川教授、美国伍斯特理工学院戴君教授、昆山杜克大学数字创新研究中心主任黄开竹教授、广西师范大学软件工程系主任李智教授分别围绕大数据系统架构、智能算法设计及行业应用等方向作特邀报告,集中展示大数据与人工智能交叉领域的前沿探索与创新成果,有效打通不同研究方向的交流渠道,深化多路径研究间的学术对话与联动。

 

除主旨报告以及特邀报告外,大会还设置3场线下分会、6场线上分会、1场海报展示及1场特别分会,议题覆盖大数据模型与算法、大数据系统架构、大数据搜索与挖掘、数据驱动应用及人工智能等多个方向,为与会者搭建了多维度、开放式的交流与展示平台。

Dinner Banquet & Award Ceremony  

 

Best Oral Presentation Awards 

  • Session 1 - (AT26-1537) Fatima Rani, TUD Dresden University of Technology, Germany

  • Session 2 - (AT26-105-A) Vicky Zhu, Babson College, United States

  • Session 3 - (AT26-1305) Chaitanya Vyas, Pandit Deendayal Energy University, India

  • Special Session - (AT26-1854) Jianhao Yang, Chongqing University of Science and Technology, China

  • Poster Session - (AT26-1521) Haoxiang Cheng, National University of Defense Technology, China

  • Online Session 1 - (AT26-1482) Zhipeng Cai, Shanghai Aircraft Flight Test Co., Ltd., China

  • Online Session 2 - (AT26-2939) Kaushalkumar Thaker, Randstad LLC, United States

  • Online Session 3 - (AT26-673) Yongjun Gan, Beijing Information Science and Technology University, China

  • Online Session 4 - (AT26-1634) Congpu Wang, Xiamen University, Malaysi

  • Online Session 5 - (AT26-1793) Mehul Vani, Independent Researcher, United States

  • Online Session 6 - (AT26-1942) Afroz Mohammed, Moon Shepherd Baker Insurance Agency, Inc, USA