FiCloud 2017

The IEEE 5th International Conference on Future Internet of Things and Cloud
  with Innovate-Data 2017 and MobiWis 2017                                                                 21-23 August 2017, Prague, Czech Republic
Keynote Talks

Keynote Talks

Keynote: IoT Security: The Gathering Storm

Prof. Andrew Martin
University of Oxford, UK

Biography:
Andrew Martin is a Professor of Systems Security and Director of Centre for Doctoral Training in Cyber Security at the Department of Computer Science, University of Oxford. Prof. Martin undertakes research and teaching in the area of Systems Security, in the University of Oxford. He was instrumental in setting up the University's Cyber Security Network and helps to lead it, heading Oxford's EPSRC/GCHQ-recognised Academic Centre of Excellence in Cyber Security Research. He directs the Centre for Doctoral Training in Cyber Security, which admits 16 students each year for inter-disciplinary education and research. His recent research focus has been on the technologies of Trusted Computing, exploring how they can be applied in large-scale distributed systems, particularly cloud computing, mobile devices, and the Internet of Things. He has published extensively in this area, hosting several related international events in Oxford and speaking on the subject all over the world.


Keynote: Digital Transformation - Not an Easy Ride!

Dr. Mazin Yousif
T-Systems, International

Abstract:
Data has been growing at exponential rates, continuously generated by almost everything around such as systems, sensors and mobile devices. The industry is also amplifying data through trends such as trends such as Internet of Things (IoT) and social networks. The term “Big Data” was conceived to refer to data that are generated at rapid velocities; with substantial volumes and large varieties and that cannot be handled with traditional methods. Big Data includes structured, semi-structured and unstructured data formats. Volumes and velocities are relative and depend on the underlying systems and types of businesses. Big data became a trendy topic in academic research and industry because businesses are thinking they can realize better commercial value when they adopt big data. However, to go through digital transformation to become a data-driven organization or data-driven business is easier said than done. The challenges usually revolve around developing a data strategy; building the skills to harness data; what is the right intelligence, alignment between the current IT methods and data-driven-required-IT; building the right governance to bring all internal businesses in a company to adopt big data; etc. Given the above, I will talk about the Digital Transformation process and provide an overview of big data, talk about specific big data challenges and cover how to become a data-driven enterprise or data-driven business.

Biography:
Dr. Yousif is the Global Chief Technology Officer and Vice President of Architecture for the Royal Dutch Shell Global account at
T-Systems, International. Before joining T-Systems, he spent some time with IBM, Avirtec and Intel. He was also a Professor at Louisiana Tech University. Dr. Yousif serves in the Board of Directors of several startup companies. He chaired the Advisory Board of the European Research Consortium for Informatics and Mathematics (ERCIM). He is the Founding Editor-In-Chief of the IEEE Cloud Computing Magazine . He founded the NSF Industry/University Cooperative research Center for Autonomic Computing and delegated to three Professors to complete the needed paperwork. Dr. Yousif was an adjunct professor in several universities including Duke, NCSU, OGI, Arizona and Portland State. He has served as the General Chair or Program Chair for many conferences and serves in the editorial board of many journals. He is a frequent speaker in academic and industry conferences on topics related to cloud computing, big data and autonomic computing. He has also published extensively and was an IEEE Distinguished Visitors Program speaker from 2008-2013.

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