ICBDC 2019
2019 4th International Conference on Big Data and Computing
May 10-12, 2019 | Guangzhou, China
2019年第四届大数据与计算国际会议于2019年5月10-12日在中国·广州 召开， ICBDC 2019 大会录用文章被出版至 ICBDC 2019 论文集， 由ACM 出版， ICBDC 2019 论文集出版刊号是 978-1-4503-6278-8, 由 ACM 数据库收录, 并在会后5个月左右被 EI Compendex 核心 和 SCOPUS 检索
| Indexed by EI Compendex | Indexed by Scopus | |
 |
 |
Opening Remarks by Prof. Hong Shen, Sun Yat-sen University, China |
Dr. Tanveer Syeda-Mahmood, IBM Almaden Research Center, USA |
Prof. Nong Ye, Arizona State University, USA |
||
 |
 |
 |
 |
 |
 |
||
 |
 |
 |
Parallel Sessions
 |
 |
 |
||
Group Photo of Session 1 |
Group Photo of Session 2 |
Group Photo of Session 3 |
||
 |
 |
 |
||
Group Photo of Session 4 |
Group Photo of Session 5 |
Group Photo of Session 6 |
||
 |
 |
 |
Excellent Oral Presentation Winners of ICBDC 2019
Secure Deduplication on Public Cloud Storage
Hendrik Graupner, Kennedy A. Torkura, Muhammad I. H. Sukmana, Christoph Meinel
Presenter: Detlev Hendrik Graupner, Bundesdruckerei GmbH, Germany
A Node Backup Algorithm for Fault Cascade degradation in Virtualization Power Communication Network
Huifeng Sun, Xushan Chen, Zhen Xia and Mengyu Li
Presenter: Xushan Chen, Beijing University of Posts and Telecommunications, China
SMHC: A Synthetic Metric for Heterogeneous Resources in Cloud Computing
Lele Li, Zhibin Yu
Presenter: Lele Li, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences / University of Chinese Academy of Sciences, China
High Dynamic Range Imaging with Multi exposure Image fusion –A Vibrational frame work
Sujatha K and Gaurav Gupta
Presenter: Sujatha. K, Wenzhou kean University, China
Session 1 Winner - Detlev Hendrik Graupner |
Session 3 Winner - Lele Li |
Session 6 Winner - Sujatha .K |
||
 |
 |
 |
Keynote Speakers of ICBDC 2019
Tanveer Syeda-Mahmood, Ph.D
IBM Fellow & Chief Scientist, Medical Sieve Readiology Grand Challenge
IBM Almaden Research Center
Dr. Tanveer Syeda-Mahmood is an IBM Fellow and the Chief Scientist/overall lead for the global Medical Sieve Radiology Grand Challenge project in IBM Research. As a worldwide expert in artificial Intelligence for medical imaging and clinical decision support, she is leading the company's future in cognitive health and helping define new IBM products through her groups research in biomedical imaging, computer vision, deep learning, knowledge and reasoning.
Dr. Tanveer Syeda-Mahmood graduated with a Ph.D from the MIT Artificial Intelligence Lab in 1993. Prior to coming to IBM, Dr. Syeda-Mahmood led the image indexing program at Xerox Research and was one of the early originators of the field of content-based image and video retrieval. Over the past 30 years, her research interests have been in a variety of areas relating to artificial intelligence ranging from computer vision, image and video databases, to recent applications in medical image analysis, healthcare informatics and clinical decision support. She has over 250 refereed publications and over 100 filed patents. Dr. Syeda-Mahmood has chaired numerous conferences and workshops over the years at forums such as IEEE CVPR, ICCV, ACM, and MICCAI including MICCAI 2016 (Industrial Chair), IEEE HISB 2011 (General Chair), and IEEE CVPR 2008 (Program Chair).
Dr. Syeda-Mahmood is a Fellow of IEEE. She is also a member of IBM Academy of Technology. Dr. Syeda-Mahmood was declared Master Inventor in 2011. She is the recipient of key awards including IBM Corporate Award 2015, Best of IBM Award 2015, 2016 and several outstanding innovation awards. In 2016, she received the highest technical honor at IBM and was conferred the title of IBM Fellow.
Prof. Hong Shen (沈鸿教授)
国家特聘专家；
中组部"千人计划"入选者；
中国科学院"百人计划"入选者
Sun Yat-sen University, China
Hong Shen is a specially-appointed and endowed Professor in Sun Yat-sen University, China. He is also a tenured Professor of Computer Science in the University of Adelaide, Australia. He received the B.Eng. degree from Beijing University of Science and Technology, M.Eng. degree from University of Science and Technology of China, Ph.Lic. and Ph.D. degrees from Abo Akademi University, Finland, all in Computer Science. He was Professor and Chair of the Computer Networks Laboratory in Japan Advanced Institute of Science and Technology (JAIST) during 2001-2006, and Professor of Compute Science at Griffith University, Australia, where he taught 9 years since 1992. With main research interests in parallel and distributed computing, algorithms, data mining, privacy-preserving computing and high performance networks, he has led numerous research centres and projects in different countries. He has published more than 400 papers including over 100 papers in international journals such as a variety of IEEE and ACM transactions. Prof. Shen received many honours/awards including National Endowed Expert of China and “100 Talents” of Chinese Academy of Sciences. He has served on the editorial boards of several major international journals and chaired numerous conferences.
Keyno
te Speaker
NONG YE, Professor
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University, USA
Dr. Ye is a full professor at Arizona State University. Her past and current research has received over $8M external funding support and has produced eighty-five journal papers and five books, including Data Mining: Theories, Algorithms, and Examples. Her recent research focuses on developing data mining algorithms to discover multivariate data associations for capturing both partial-value and full-value variable associations as well as both individual and interactive effects of multiple variables. New algorithms have been applied to cyber attack detection, engineering retention and education, and energy systems modeling.