Prof. Mike Papazoglou
University of Tilburg, the Netherlands
Papazoglou is a highly acclaimed academic with noteworthy experience in areas of education, research and leadership pertaining to computer science, information systems, industrial engineering and digital manufacturing. He is noted as one of the original promulgators of ‘service-oriented computing’. Renowned for establishing local ‘pockets of research excellence’ in service science and engineering in several European countries, China, Australia and the UAE. He is a contributor of pioneering innovations and first-rate science for resolving key scientific problems pertaining to software development, distributed and cloud computing, and web services research.
Papazoglou is an author of the most highly cited papers in the area of service engineering and Web services worldwide with a record of publishing 23 (authored and edited) books, and approx. 200 prestigious peer-refereed papers along with over 11,700 citations (H-index factor 45). He is a distinguished/honorary professor with an exemplary teaching and R&D record at 10 universities around the globe. He has delivered over 20 keynote addresses since 2000 and chaired 12 prestigious international peer refereed conferences since 1990.
Link to Web page: http://infolab.uvt.nl/staff/mikep/
Title of presentation: Big Data in Manufacturing: The Era of Smart Manufacturing Networks [abstract]
Prof. George Giaglis
Athens University of Economics and Business, Greece
George Giaglis is Vice Rector of Finance and Development and Professor of eBusiness at the Athens University of Economics and Business, Greece. He has previously worked with the University of the Aegean (Greece) and Brunel University (UK), while he has held visiting posts in universities in the UK, Australia, USA, Finland and Denmark.
In 2001, George founded the ISTLab Wireless Research Center, the first research center in Greece with a focus on mobile business, applications and services, while since 2009 he is the Director of Sociomine, a newly-founded research center with a focus on Social Network Analytics. He has also been elected as academic representative in the Coordinating Committee of the Hellenic Mobile Cluster.
George Giaglis has published more than 150 articles in leading journals and international conferences and has authored ten books with Greek and international publishers. His scientific contribution has been acknowledged by the international academic community, as evidenced by the large number of citations (more than 3,000 citations) and the best paper and teaching awards he has received. He serves at the Editorial Board of seven international academic journals and has served at the organizing committees of more than 40 international conferences. From 2003 to 2008, he was Permanent Secretary of the International Conference on Mobile Business, which he organized in Athens in 2010.
His research and teaching interests focus on a) electronic business, emphasizing on the design, development and evaluation of innovative mobile, social networking and business applications, b) simulation modeling, business process modeling and system dynamics, c) social network analytics, focusing on data mining, user modeling and social learning behavior in online social networks and d) ubiquitous and pervasive information systems.
Link to Web page: http://www.giaglis.eu/
Title of presentation: Digital Currencies and Bitcoin: An Agenda for I.S. Research [abstract]
Mike Papazoglou: Big Data in Manufacturing: The Era of Smart Manufacturing Networks
Link to presentation: Download
Effective end-to-end management of manufacturing networks is consistently touted as a top priority for manufacturing enterprises that strive to improve the efficiency, adaptability and sustainability of their production systems. End-to-end management of manufacturing networks is a crucial prerequisite for the emerging powerful new model of production – called smart manufacturing – which is based on integration of the enterprise and shop floor levels within and between factories, collaboration, self-organization and openness rather than on hierarchy and centralized control.
In this talk we present a number of developments under way and a novel methodological approach that aim to realize the potential of Big Data in smart manufacturing. In smart manufacturing, Big Data can help control the quality and costs of products, as well as help reduce defects. By tracking every detail about every part that goes into a product, from its original manufacturer, to where it was stored, to when it was installed, lets manufacturers produce better products at faster rates and retrace problems for better resolution. Monitoring defect ratios and on-time delivery can help with supplier selection and performance assessment. Inside the shop-floor, having the ability to utilize the mass of data on orders machine and personnel status allows production managers to optimize operations, factory scheduling, maintenance, and workforce deployment.
George Giaglis: Digital Currencies and Bitcoin: An Agenda for I.S. Research
Over the past five years, a revolution (silent and largely undetected at first; quite noisy and controversial lately) has been gathering momentum at the intersection between the worlds of technology and finance. The creation of Bitcoin has re-ignited interest in digital money, with businesses and platforms quickly realizing the opportunity and competing to explore and create new markets. Naturally, as with all new and largely unexplored phenomena, the digital currency ecosystem has grasped the attention of researchers in many diverse fields - computer science, economics and finance, regulation and law, management and innovation, public policy, and others.
Surprisingly though, for a technology innovation that has potentially myriads of real life applications, Information Systems researchers have been slower in taking up the challenge. As a result, research in the field is still at an embryonic stage, if existent at all. In this talk, we will explore the implications of digital currencies for Information Systems research and draw conclusions on how our discipline can inform the ongoing debate and developments around digital money.