学术报告第201548期

报告人：Prof  Yu-Chu  Tian （Queensland  University of Technology, Australia）

报告题目：Big Data with  Applications

报告时间：2015年12月7日（星期一）下午3:00

报告地点：南一楼中311室

邀请方：“多谱信息处理技术”国家级重点实验室

内容简介：

Big  data processing has become an emerging area of research and development with  typical applications in almost all domains such as spatial information  processing, bioinformatics computation, information retrieval, natural resources  monitoring and management, GNSS, and many others. Many of such big data  computing tasks have been considered to be implemented in distributed computing  and/or cloud computing, another emerging area in information technology. The  rapid development of IoT systems further pushes the boundaries of big data  theory and methods. This paper identifies challenges in big data with regard to  data generation, management, and processing. Then, a general framework is  proposed for hierarchical big data management and distributed/cooperative big  data processing. After that, for actual big data computing in distributed  environments, a scalable and efficient approach is presented for data  distribution and computing task scheduling. Finally, case studies are discussed  for demonstration.

报告人简介：:

Professor Yu-Chu  Tian is a computer scientist and Australia Research Council (ARC) recognized  expert of international standing. He is a Professor of Computer Science at the  School of Electrical Engineering and Computer Science, Queensland University of  Technology (QUT), Australia. Over the last two decades, he has worked at  Zhejiang University, Hong Kong University of Science and Technology, Curtin  University of Technology (Australia), Queensland University of Technology  (Australia), and the University of Maryland at College Park (USA). Since 2002,  he has been with Queensland University of Technology, initially as a Lecturer  and Senior Lecturer, later as an Associate Professor, Professor and the Head of  the Discipline of Networks and Communications, and currently as a Full Professor  of Computer Science. He has published a monograph and over 170 refereed papers,  which have been cited over 2000 times with an h-index of 23. He is the  editor-in-chief of Springer’s book series Handbook of Real-Time Computing, and  an Associate Editor for Information Sciences (Elsevier) and Asia-Pacific Journal  of Chemical Engineering (Wiley). His current research interests include big  data, distributed computing, cloud computing, computer networks, real-time  systems, and control theory and engineering.