Keynote Speakers

 

 

 

Rajiv Sabherwal, IEEE Fellow
Distinguished Professor and Department Chair 
Edwin & Karlee Bradberry Chair and Department Chair of Information Systems
Walton College of Business at University of Arkansas, USA
 
Rajiv Sabherwal is Distinguished Professor, Edwin & Karlee Bradberry Chair, and Department Chair of Information Systems in the Walton College of Business at University of Arkansas. He has published on the management, use, and impacts of information technology and knowledge in Information Systems Research, MIS Quarterly, Management Science, Organization Science, Journal of Management Information Systems, and other journals. He has performed numerous editorial and conference leadership roles, including serving as Editor-in-Chief for IEEE Transactions on Engineering Management, Conference Co-Chair for International Conference on Information Systems, Program Co-Chair for Americas Conference on Information Systems, Senior Editor for MIS Quarterly and Journal of AIS, and Special Issue Editor for Information Systems Research. He is a Fellow of IEEE, a Fellow of the Association of Information Systems, and a PhD from University of Pittsburgh.
Speech Title: Individuals, Organizations, and Society: The Evolving Impacts of Information Technologies
Abstract:
Developments in information technologies (ITs) over time have influenced how individuals, organizations, and society manage knowledge and perform tasks. This presentation will examine the nature of the effects traditional and emergent (e.g., artificial intelligence, crowdsourcing, social media, analytics, gamification, and blockchain) ITs have at these three levels. Effects on cross-level aspects such as fading boundaries (e.g., between work and leisure) and growing tensions (e.g., between simultaneously rising privacy expectations and public information sharing via social media) will be discussed. Drawing upon industry trends and examples, recent research, and insights developed over the past three decades, some lessons and potential paths forward — for individuals, organizations, and society — will be offered. 

 

 

 

 

 

 

Prof. Ezendu Ariwa, University of Bedfordshire, UK

Academic Supervision of Warwick University, UK 
Chair, IEEE Consumer Electronics & Broadcast Technology, UK & Ireland 
Chair, IEEE Technology & Engineering Management Society, UK & Ireland 
Associate Vice Chair, BCS Health & Care Executive


Professor Ezendu Ariwa  is a  Chartered Fellow of  British Computer  Society  (BCS) and Chair of IEEE Consumer Electronics & Broadcast Technology Chapter, UK and Ireland.  He is an Academic Supervisor at the University of Warwick, UK and held various academic  and professional positions with many  years of experience in the United Kingdom and Internationally
He has achieved good collaboration with multicultural SMEs in the United Kingdom, with respect to mentoring and working on joint professional development on ICT enterprise programmes. He has experience of doctoral research supervision and consultancy as well as doctoral external examiner for various Universities both in the UK and internationally on Information Risk Management and applicable  computing in Smart Cities and Healthcare.

He has a good research profile and the Founding Editor-in-Chief of the International Journal of Green Computing (IJGC), Editor-in-Chief of the International Journal of Computing and Digital Systems (IJCDS), Journal of E-Technology, and the Associate Editor of the International Journal of E-Politics and the Associate Editor of International Journal of Distributed Systems and Technologies (IJDST)

Ezendu  is author of a number of books and papers published in international journals and conference proceedings. He has also delivered keynote speeches at various international conferences.  He recently published a book on Green Technology Applications for Enterprise and Academic Innovation, Publisher: IGI Global, USA.

Speech Title: Green Technology and Digital Skills Applications in Industrial Engineering using Corporate Social Responsibility (CSR)

 

 

 

Prof. Dr.-Ing. Eric Sax

Institut für Technik der Informationsverarbeitung (ITIV) 
Karlsruhe Institute of Technology, Germany


Head of Institute for Information Processing Technologies (ITIV) at KIT
Prof. Dr.-Ing. Eric Sax is head of the Institute of Information Processing Technology (www.itiv.kit.edu) at the Karlsruher Institute of Technology. KIT is the alma mater of Heinrich Hertz, Carl Benz, Karl Steinbuch and Hasso Plattner, famous trendsetters in industrial and technological breakthroughs. In addition, he is director at the Forschungszentrum Informatik (www.fzi.de) and the so called Hector School, the Technology Business School of KIT. His main topics of research, together with currently more than 40 PhD employees, are processes, methods and tools in systems engineering. Model based design, simulation and validation are the areas of research covering the open questions about the fitting life cycle model (Waterfall, V-Model, agile). Data driven and service oriented architectures that support the idea of machine learning are the huge field of industrial cooperation with automotive partners (Porsche, Daimler, VW, BMW, ZF, Bosch a.o.). The tight link to industry derives from the fact that Eric Sax has been responsible for E/E development at Daimler Buses world wide from 2009-2014 and before was head of E/E test engineering at the MBtech Group.

Speech Title: New methods to manage the AI euphoria in automotive system design
Abstract:
Improved technologies and the applicability of high performing components enable functions that we didn’t even think off a decade ago. Mass production of sensors and the ability to capture environmental conditions and calculate functions such as trajectories for automated vehicles in real-time even in a cloud are overwhelming. To handle these opportunities, current processes, methods and tools especially in the automotive industry reach their limits. The variants of traffic situations are far to heterogeneous and large, to design and validate automated driving by established design and testing means. Machine learning and big data analytics are the idea to solve that challenge. As a consequence, design and testing are re-invented currently in the automotive industry and a new way of thinking on system and function level is introduced.