SmartCom 2017

Bio: Meikang Qiu received the BE and ME degrees from Shanghai Jiao Tong University and received Ph.D. degree of Computer Science from University of Texas at Dallas. Currently, he is an Adjunct Professor at Columbia University and Associate Professor of Computer Science at Pace University. He is an IEEE Senior member and ACM Senior member. He is the Chair of IEEE Smart Computing Technical Committee. His research interests include cyber security, cloud computing, big data storage, hybrid memory, heterogeneous systems, embedded systems, operating systems, optimization, intelligent systems, sensor networks, etc. A lot of novel results have been produced and most of them have already been reported to research community through high-quality journal and conference papers. He has published 15 books, 400 peer-reviewed journal and conference papers (including 200+ journal articles, 200+ conference papers, 60+ IEEE/ACM Transactions papers), and 3 patents. He has won ACM Transactions on Design Automation of Electrical Systems (TODAES) 2011 Best Paper Award. His paper about cloud computing has been published in JPDC (Journal of Parallel and Distributed Computing, Elsevier) and ranked #1 in Top Hottest 25 Papers of JPDC 2012. He has won another 10+ Conference Best Paper Awards in recent years. Currently he is an associate editor of 10+ international journals, including IEEE Transactions on Computer and IEEE Transactions on Cloud Computing. He is the General Chair/Program Chair of a dozen of IEEE/ACM international conferences, such as IEEE HPCC, IEEE CSCloud, IEEE BigDataSecurity. He has given 100+ talks all over the world, including Oxford, Princeton, Stanford, and New York University. He has won Navy Summer Faculty Award in 2012 and Air Force Summer Faculty Award in 2009. His research is supported by US government such as NSF, Air Force, Navy and companies such as GE, Nokia, TCL, and Cavium.

Bio: Prof. Victor Chang is an Associate Professor (Reader), Director of PhD and Director of MRes at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University, Suzhou, China, after working as a Senior Lecturer at Leeds Beckett University, UK, for 3.5 years. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012 and 2015, the 2016 European award: Best Project in Research, Outstanding Young Scientist award in 2017, 2016-2017 SEID Excellent Scholar in Suzhou, Jiangsu of China, 2017 INSTICC Service Award, ICGI 2017 special award on Data Science and numerous awards since 2012. He is widely regarded as a leading expert on Big Data/Cloud/IoT/security. He is a visiting scholar/PhD examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, Editor of FGCS, Associate Editor of TII, founding chair of two international workshops and founding Conference Chair of IoTBDS http://www.iotbd.org and COMPLEXIS http://www.complexis.org since Year 2016. He was involved in different projects worth more than £12.5 million in Europe and Asia. He has published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He has given and will give 15 keynotes at international conferences. He has completed many special issues of top journals and chaired many scholarly events.

Topic: Combining Internet of Things (IoT) and Data Science: Overview, examples and recommendations

Abstract: The purpose of this industrial talk is to give the overview, examples and recommendations from the combined effort of IoT and Data Science for multiple disciplines. IoT is the platform to collect and classify data. Data Science involves methods and techniques analyze, process, understand and visualize outputs. Our aims will include first, it allows anyone to understand important aspects of science research in a short period of time; second, it enables key messages from the research to be conveyed and third, it encourages interdisciplinary research. The overview, examples and recommendations will be demonstrated, including healthcare, finance, weather, social networks, security, smart cities, geo-economics and other disciplines to justify research and enterprise contributions. Future work such as future directions and work-in-progress with deep learning will be discussed.