IIoTBDSC
Important Dates
Date of Conference£ºAugust 24-26, 2021
Submission Due£ºJune 15, 2021
Notification of Acceptance£º June 30, 2021
Contact Us
Conference Secretary£ºSunny Zhang
Submission Email£ºiiotbdscconference@126.com
QQ£º3374931065
M/P£º+86-13297998135
We Chat

Key Review Policy
At least 3 independent reviewers review the manuscript.
The repetition rate can not exceed 20%.
All submissions must be original, unpublished, and not be under consideration for publication elsewhere.
We take plagiarism case very seriously, which include self-plagiarism of authors' own published papers.
Keynote & Invited Speakers

Keynote speaker

Professor Zidong Wang

Brunel University London , United Kingdom

Dr. Zidong Wang is currently Professor of Dynamical Systems and Computing in the Department of Computer Science, Brunel University London, U.K. From 1990 to 2002, he held teaching and research appointments in universities in China, Germany and the UK. Prof. Wang's research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published over 600 papers in top journals with an H-index of 122. He is a holder of the Alexander von Humboldt Research Fellowship of Germany, the JSPS Research Fellowship of Japan, William Mong Visiting Research Fellowship of Hong Kong.
Prof. Wang serves (or has served) as the Editor-in-Chief for Neurocomputing, the Editor-in-Chief for International Journal of Systems Science, and an Associate Editor for 12 international journals including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, IEEE Transactions on Signal Processing, and IEEE Transactions on Systems, Man, and Cybernetics-Part C.
Prof. Wang is a Member of the Academia Europaea, a Fellow of the IEEE, a Fellow of the Royal Statistical Society and a member of program committee for many international conferences.

Title: Handling bad data for big data analysis

Abstract

In this talk, we discuss another side of big data analysis, bad data analysis, where the badness means the complexities resulting in the reproducibility issues. Some background knowledge is first introduced on the volatility of the big data analysis, which shows 1) "big" does not necessarily mean "better" and 2) the so-called multi-objective data analysis (against badness) is vitally important in advancing the state-of-the-art. Two examples are used for demonstration of the big data analysis, one for big data from complex networks and the other for big data from gene expression image processing. Finally, conclusions are drawn and some future directions are pointed out.


Invited Speakers

Prof. Shadi A. Aljawarneh

Jordan University of Science and Technology, Jordan

Shadi A. Aljawarneh is a full professor in Software Engineering Department and Software Engineering/Data Science in Jordan University of Science and Technology(JUST). He is an Associate Editor of Computers & Electrical Engineering Journal, Elsevier and IEEE ACCESS Journal, IEEE. He holds several international professional memberships including Internet Society, ACM, IEA, ICS, IEEE, etc. He received his Ph.D. degree in Software Engineering from Northumbria University, Master degree in IT from University of Western Sydney and Bachelor¡¯s degree in Computer Science from Jordan Yarmouk University. He was honored several awards including full membership as ACM senior member from ACM in 2014. He presided over and participated in at least 9 Research Grant (Fund). He has published 99 articles on international journals and conferences proceedings. His interests of research cover Machine Learning, IoT, Information Security, Project Proposal Evaluation/Writing/Examination, Software Engineering, E-learning, Big Data and Machine Learning, etc.


Prof. V¨ªctor M¨¦ndez Muñoz

Universitat Oberta de Catalunya (UOC), Spain

Prof. V¨ªctor M¨¦ndez Muñoz is a consultant professor at UOC, Spain. He has a background in several fields of Big Data, Cloud Computing, and IoT, both in academia and in the industry. Currently, he is contributing to the IoT ecosystem for microbiological control at IUL, which is an innovative company in the biotechnology. We are building new models and architectures taking full advantage of the state of the art opportunities in IoT microcomputers, microservices, and Edge Computing, to ensure genuine progress. Furthermore, he fosters bridging the gap between theory and practice, as a collaborating editor in scientific journals and conferences, training postgraduates at UOC and partaking in innovation programs with Universities. 

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International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)