IIoTBDSC
Important Dates
Date of Conference£ºOctober 15-17, 2021
Submission Due£ºSeptember 15, 2021
Notification of Acceptance£ºSeptember 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All submissions must be original, unpublished, and not be under consideration for publication elsewhere.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

Prof. 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.



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. Francisco Herrera
University of Granada, Spain

Francisco Herrera (SM'15) received his M.Sc. in Mathematics in 1988 and Ph.D. in Mathematics in 1991, both from the University of Granada, Spain. He is currently a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada. He has been the supervisor of 42 Ph.D. students. He has published more than 400 journal papers that have received more than 62000 citations (Scholar Google, H-index 125). He is coauthor of the books "Genetic Fuzzy Systems" (World Scientific, 2001) and "Data Preprocessing in Data Mining" (Springer, 2015), "The 2-tuple Linguistic Model. Computing with Words in Decision Making" (Springer, 2015), "Multilabel Classification. Problem analysis, metrics and techniques" (Springer, 2016), "Multiple Instance Learning. Foundations and Algorithms" (Springer, 2016). He currently acts as Editor in Chief of the international journals "Information Fusion" (Elsevier) and ¡°Progress in Artificial Intelligence (Springer). He acts as editorial member of a dozen of journals. He received the following honors and awards: ECCAI Fellow 2009, IFSA Fellow 2013, 2010 Spanish National Award on Computer Science ARITMEL to the "Spanish Engineer on Computer Science", International Cajastur "Mamdani" Prize for Soft Computing (Fourth Edition, 2010), IEEE Transactions on Fuzzy System Outstanding 2008 and 2012 Paper Award (bestowed in 2011 and 2015 respectively), 2011 Lotfi A. Zadeh Prize Best paper Award of the International Fuzzy Systems Association, 2013 AEPIA Award to a scientific career in Artificial Intelligence, and 2014 XV Andaluc¨ªa Research Prize Maim¨®nides (by the regional government of Andaluc¨ªa), 2017 Security Forum I+D+I Prize, and 2017 Andaluc¨ªa Medal (by the regional government of Andaluc¨ªa). He has been selected as a Highly Cited Researcher http://highlycited.com/ (in the fields of Computer Science and Engineering, respectively, 2014 to present, Clarivate Analytics). His current research interests include among others, soft computing (including fuzzy modeling, evolutionary algorithms and deep learning), computing with words, information fusion and decision making, and data science (including data preprocessing, prediction and big data).



Invited Speakers

Prof. Zhili Sun

University of Surrey

Prof. Zhili Sun is a Chair Professor of Communication Networking and PGR Director with the 5G&6G Innovation Centre and Institute for Communication Systems (ICS), University of Surrey; he received BSc in Mathematics, Nanjing University, and PhD in Computer Science from Lancaster University. He worked before as an Assistant Professor in Southeast University and Queen Mary University of London (QMUL) before joined Surrey.
He was technical co-ordinator in many European projects in the areas of evaluation of broadband traffic over satellite, Trans-European Network on Quality of Service (QoS) studies, EU Framework Programme on satellites Multicast Multimedia Conference over Satellite, IP over DVB-S/RCS, IPv6 over satellite, next generation Internet, EU-China Grid Internetworking.
He also worked as principal investigator for multicast security over hybrid satellite networks funded by UK Research Council, and LKH over satellite funded by European Space Agency (ESA) and industries. He was a principal investigator in projects to study integration of MANET and satellite, new space payload technology, and UK-China Science Bridge, multi-layer security and DTN.
He has supervised 40+ PhDs and 20+ Postdoctoral Research Fellows; have published over 243 papers in International journals and conferences and 3 books as author or co-author. He has also contributed to standardisation actives to ITU-T and ETSI in QoS and IP multicast over satellite. I have also served as TPC committee members in many international conferences including the IEEE ICC and Globecom, and been ERSRC College Member, UK Fellow of High Education Academy, Reviewer and Panel member, and EU Technical Expert Reviewer.
He has research interests including satellite communications and networking, mobile ad hoc networks, IoT & IIoT, Internet and teletraffic engineering, network security, mobile communications and mobile operating systems.
He is a member of Editorial Board of the following journals including International Journal of Satellite Communications and Networking , Journal of Information Security and Applications, and China Communications.
 


Title: Satellite Communications and Networks for IoT Global Services and Applications
Outline:

  • Birth of satellite communications
  • Development of satellite communications
  • Satellites in the IMT-2020 (5G)
  • The ITU-R IMT-2020 (5G) Vision
  • IMT-2020 (5G) applications
  • Opportunities of Challenges towards Network 2030
  • ITU-T Network 2030 development and vision
  • Satellite global coverage for IoT services and applications





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. 


Title:The IoT revolution and the next cybersecurity challenges
Abstract
Behind the IoT software frameworks, there are security assumptions and architecture principles that help the software designers to be aligned with certain standards. Beyond these baselines tools, there is a risk analysis that is recommendable to face from a generalist point of view. Today, security threats are in rapid evolution, the IoT attack surface is increasing exponentially and the connectivity to critical infrastructures will change the problem dimensions to one of the most challenging in the following years. In this talk, we present an IoT software architecture design procedure matching main standards to the security key elements and the latest reported IoT vulnerabilities. According to this analysis and from our experience in IUL building IoT instruments, we describe a sensible architecture design checklist. Finally, we show our research lines in the Master of Cybersecurity and Privacy at UOC, focused on IoT build-in IDS capabilities, the first one based in ELK Edge Computing aggregation to SOC and the second is a deep learning light technique to proactive detection of IoT malware.


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