Prof. Min Chen
Title: Big-Data Analytics for Cloud, IoT and Cognitive Learning
Abstract: In the big data era, successful cloud systems, web services and datacenters must be designed to store, process, learn, and analyze big data to discover new knowledge or making critical decisions. The purpose is to build up a big data industry to provide cognitive services to offset human shortcomings in handling labor-intensive tasks with high efficiency. These goals are achieved through hardware virtualization, machine learning, deep learning, IoT sensing, data analytics, and cognitive computing. For example, new cloud services appear as Learning as a Services (LaaS), Analytics as a Service (AaaS), or Security as a Service (SaaS) along with the growing practices of machine learning and data analytics.
Today, IT companies, big enterprises, universities, and governments are mostly converting their data centers into cloud facilities to support mobile and networked applications. Supercomputers having a similar cluster architecture as clouds are also under transformation to deal with the large data sets or streams. Smart clouds become greatly on demand to support social, media, mobile, business and government operations. Supercomputers and cloud platforms have different ecosystems and programming environments. The gap between them must close up towards big data computing in the future.
Biography: Min Chen is a full professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST) since Feb. 2012. He is Chair of IEEE Computer Society (CS) Special Technical Communities (STC) on Big Data. He was an assistant professor in School of Computer Science and Engineering at Seoul National University (SNU). He worked as a Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia (UBC) for three years. Before joining UBC, he was a Post-Doctoral Fellow at SNU for one and half years. He received Best Paper Award from QShine 2008, IEEE ICC 2012, ICST IndustrialIoT 2016, and IEEE IWCMC 2016. He serves as editor or associate editor for Information Sciences, Information Fusion, and IEEE Access, etc. He is a Guest Editor for IEEE Network, IEEE Wireless Communications, and IEEE Trans. Service Computing, etc. He is Co-Chair of IEEE ICC 2012-Communications Theory Symposium, and Co-Chair of IEEE ICC 2013-Wireless Networks Symposium. He is General Co-Chair for IEEE CIT-2012, Tridentcom 2014, Mobimedia 2015, and Tridentcom 2017. He is Keynote Speaker for CyberC 2012, Mobiquitous 2012, Cloudcomp 2015, IndustrialIoT 2016, and The 7th Brainstorming Workshop on 5G Wireless. He has more than 280 paper publications, including 150+ SCI papers, 60+ IEEE Trans./Journal papers, 13 ISI highly cited papers and 7 hot papers. He has published two books: OPNET IoT Simulation (2015) and Big Data Inspiration (2015) with HUST Presss, a book on big data: Big Data Related Technologies (2014) and a book on 5G: Cloud Based 5G Wireless Networks (2016) with Springer Series in Computer Science. His latest book (co-authored with Prof. Kai Hwang), entitled Big Data Analytics for Cloud/IoT and Cognitive Computing (Wiley, U.K.) are in press to appear in 2017. His Google Scholars Citations reached 9,200+ with an h-index of 47. His top paper was cited 960+ times. He is an IEEE Senior Member since 2009. He got IEEE Communications Society Fred W. Ellersick Prize in 2017. His research focuses on Cyber Physical Systems, IoT Sensing, 5G Networks, Mobile Cloud Computing, SDN, Healthcare Big Data, Medica Cloud Privacy and Security, Body Area Networks, Emotion Communications and Robotics, etc.
