LOS ALAMITOS, Calif., 31 October 2014 -- Qiang Yang, a professor in the Department of Computer Science and Engineering at Hong Kong University of Science and Technology, has been appointed editor in chief of IEEE Transactions on Big Data.
Qiang Yang was founding head of Huawei Noah's Ark Research Lab from 2012-2014. His research interests are data mining and artificial intelligence including machine learning, planning, and activity recognition.
A Fellow of the Association for the Advancement of Artificial Intelligence, American Association for the Advancement of Science, IEEE, and the International Association of Pattern Recognition, he received his PhD from the Computer Science Department of the University of Maryland, College Park, in 1989.
He served as an assistant/associate professor at the University of Waterloo from 1989-95, and a professor and NSERC Industrial Research Chair at Simon Fraser University from 1995-2001.
Yang is the founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology and is on the editorial board of IEEE Intelligent Systems, IEEE Transactions on Knowledge and Data Engineering, and several other international journals.
He has served as a Planning Committee co-chair and general co-chair of several international conferences, including ACM RecSys 2013, IEEE Big Data Conference 2013, ACM KDD 2010 and 2012, and ACM IUI 2010. He serves as an IJCAI trustee and will be the PC chair for IJCAI 2015.
IEEE Transactions on Big Data publishes peer-reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy, and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.