2023 5th International Conference on Big Data Engineering and Technology will take place in Singapore during July 15-17, 2023.
Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). BDET conference is the premier event to network and learn from colleagues and other leading international scientific voices from across the world, who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of Big Data Engineering and Technology. BDET is mainly sponsored by Sensors and Systems Society of Singapore (SSS), and joinly supported by some universities, organizations and scientific communities. The scientific program will again feature a mix of keynote speakers, oral presentations and poster displays, etc. Finally, we are confident that you will enjoy both the technical and social programs, offered to you in the framework of BDET 2023 and we look forward to meeting you in Singapore then.
Important Dates
Paper Submission Deadline 投稿截止 |
Before June 5, 2023 (Final Call!!!) 2023年6月5日 |
Notification of Review Result 审稿结果通知时间 |
June 15, 2023 2023年6月15日 |
Camera-ready / Registraiton Deadline 注册截止时间 |
June 20, 2023 2023年6月20日 |
Early Bird Registration Deadline 早鸟注册截止时间 |
Before April 15, 2023 2023年4月15日 |
Conference Period 会议召开时间 |
July 15-17, 2023 2023年7月15-17日 |
Conference Venue
NTU@One-North
Nanyang Technological University, Singapore
Address: 11, Slim Barracks Rise (off North Buona Vista
Road), Singapore 138664
Kind Reminder: Please don't reserve flight ticket or hotel room in advance till you get onsite confirming information from conference secretary. Should you need any assistance, please contact conference secretary.
Prof.
Latifur Khan Fellow of IEEE, IET, BCS University of Texas at Dallas (UT Dallas), USA |
Prof. Hongzhi Wang Head of Massive Data Computing Center and Vice Dean of the Honors School of Harbin Institute of Technology Harbin Institute of Technology, China |
Assoc. Prof.
Mao Kezhi School of Electrical & Electronic Engineering Nanyang Technological University, Singapore |