学术报告第201654期

报告时间：12月27日下午4点

报告地点：南一楼中311室

报告题目: Cloud-based Service

邀请方：“多谱信息处理技术”国家级重点实验室

Abstract：

Cloud_based Service is very important to deal with smart computing, and in this report, we try to use Cloud_based Service technology to implement trust computing, intelligent medical applications, and also discuss about our tele_health project. Specifically, we present a novel depression disorder classification algorithm named Weighted Discriminative Dictionary Learning (WDDL), based on functional Magnetic Resonance Imaging (fMRI) data. The underlying relationship between samples and dictionary atoms is exploited by introducing an adaptive weighting scheme. Tested on fMRI data of lots of patientswith depression and lots of healthy controls, our algorithm outperforms all other classification methods compared in this work. Furthermore, we detect the discriminative brain regions of patients, which can reveal the pathogenesis of depression disorder.

Bio：

XiongNaixue is current a full Professor at Department of Business and Computer Science, Southwestern Oklahoma State University, OK, USA. Before he attends Colorado Technical University, he worked in Wentworth Technology Institution, Georgia State University for many years. His research interests include Cloud Computing, Security and Dependability, Parallel and Distributed Computing, Networks, and Optimization Theory.

He has been a General Chair, Program Chair, Publicity Chair, PC member and OC member of over 100 international conferences, and as a reviewer of about 100 international journals, including IEEE JSAC, IEEE SMC (Park: A/B/C), IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, IEEE Trans. on Parallel and Distributed Systems. He is serving as an Editor-in-Chief, Associate editor or Editor member for over 10 international journals (including Associate Editor for IEEE Tran. on Systems, Man & Cybernetics: Systems, and Editor-in-Chief for Journal of Parallel & Cloud Computing (PCC)), and a guest editor for over 10 international journals, including Sensor Journal, WINET and MONET.