The 18th International Conference on Mobile Computing & Multimedia (MoMM2020)

Keynote Talks

Interweaving IoT, Data and Intelligence towards Future Healthcare Ecosystem

Dr Liming Luke Chen

Professor of Data Analytics, Director of Research, School of Computing
Ulster University, United Kingdom

Keynote Zoom Link


The growing ageing population has led to an increasing prevalence of ageing-related physical, sensory and cognitive declines and chronic diseases. Yet available healthcare resources are dwindling, and the gap between the demand and supply of healthcare services is becoming wider in the time to come, not only in the developed countries but worldwide. Technology and innovation, such as IoT, sensing, data analytics and smart healthcare, have offered promising solutions, and been under vigorous extensive studies. Nevertheless, easy-to-use smart healthcare systems and services with large-scale uptake have not yet been seen. In this talk the speaker will discuss the impact of the global ageing problem on the quality of life, society and economy. He will review the state of the art of the technology-driven approach to smart healthcare, examine existing research efforts, major initiatives and high-profile projects from which gaps and barriers will be highlighted. The speaker will then present the concept of a technology driven integrated healthcare ecosystem which offers a vision to move beyond fragmented silo technologies towards future integrated solutions and their delivery. He will describe a framework for the proposed ecosystem and the underpinning enabling technologies with special emphases being placed on the methods and mechanisms of technology integration, and the processes of the interactions among multi-disciplines, sectors and stakeholders. The speaker will speculate research challenges and strategies, and further share his insights into the future research and application.


Dr Liming Luke Chen is Professor of Data Analytics, Director of Research for the School of Computing at Ulster University, UK. His current research interests include data analytics, pervasive computing, artificial intelligence, user-centred intelligent systems and their applications in smart healthcare.

Dr Chen is an IET Fellow, an IEEE Senior Member, a co-founder and co-director of the IEEE CIS” User-centred Smart Systems” Task Force. He was the coordinator of the EU Horizon2020 MSCA ITN ACROSSING project and has serves as the principal investigator for the EU AAL PIA project, the MobileSage project and FP7 MICHELANGELO project, and a number of projects funded by industry and third countries.

Dr Chen has over 230 publications in internationally recognised journals, book series and conferences. He is the General Chair or Program Chair for IEEE Smart World Congress 2019, IEEE UIC2017, IEEE HealthCom2017, SAI Computing 2017, IEEE UIC2016, IntelliSys2016, MoMM2015, IWAAL2014, UCAMI2013, and an organising chair of many workshops. He is an associate editor of IEEE THMS, assistant EIC for IJPCC and guest editors for IEEE THMS, PMC and IJDSN. He has delivered over 20 talks, keynotes and seminars in various forums, conferences, industry and academic events. Dr Chen has served as an expert for research funding assessment for UKRI, EU Horizon2020, Canada, Chile, Netherlands and Denmark. More details can be found his homepage here.

On Architecture of e-Government Ecosystems: from e-Services to e-Participation

Dirk Draheim

Tallinn University of Technology, Estonia

Keynote Zoom Link


The so-called digital transformation is perceived as the key enabler for increasing wealth and well-being by many in politics and media. In the same vein, e-Government steadily receives more and more attention. In this talk, we are interested in the architecture of e-Government ecosystems. e-Government ecosystems are complex, ultra large-scale system landscapes that consist of many players (authorities, companies, citizens) and technological systems. As Louis Sullivan has stated: "Form ever follows function." But what is the function of e-Government? It should be more than making public administration more efficient and effective. It should be in connecting governments with citizens. And what is the form of e-Government? Government has an institutional design. This institutional design gains primacy in the architecture of e-Government ecosystems.

I will argue that the architecture of an e-Government ecosystem can be identified, essentially, with its data governance architecture, which maps data assets to accountable legal entities. I am convinced, that such viewpoint not only helps to analyze existing e-Government ecosystems, solutions and technologies alike; but might also be a key to shape the next generation of e-government systems. We will have a look into the Estonian data exchange layer X-Road and the recently established European initiative GAIA-X.


Dirk Draheim is full professor of information systems and head of the Information System Group at Tallinn University of Technology. Dirk holds a Diploma in computer science from Technische Universität Berlin, a PhD from Freie Universität Berlin and a habilitation from the University of Mannheim. Until 2006, he worked as a Researcher at Freie Universität Berlin. From 2006-2008, he was area manager for database systems at the Software Competence Center Hagenberg, Austria. From 2008-2016 he was head of the data center of the University of Innsbruck and, in parallel, Adjunct Reader at the Faculty of Information Systems of the University of Mannheim. Dirk is co-author of the Springer book "Form-Oriented Analysis" and author of the Springer books "Business Process Technology", "Semantics of the Probabilistic Typed Lambda Calculus" and "Generalized Jeffrey Conditionalization". His research interest is the design and implementation of large-scale information systems.

Edge Intelligence – Understanding the convergence of Edge, Fog, and Cloud

Schahram Dustdar

TU Wien, Austria

Keynote Zoom Link


With the advent of Edge Computing and the coming of age of Artificial Intelligence, there is a strong demand to integrate Edge Computing and AI, which gives birth to Edge Intelligence. In this article, we divide Edge Intelligence into AI for Edge (Intelligence-enabled Edge Computing) and AI on Edge (Artificial Intelligence on Edge). In this talk we will discuss this new inter-disciplinary field from a broader perspective. We discuss the core concepts and the research roadmap, which should provide the necessary background for potential future research programs in Edge Intelligence.


Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria.

He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, and University of Groningen (RuG), The Netherlands (2004-2010). From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA.

He is founding co-Editor-in-Chief of the new ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer.

Dustdar is recipient of the ACM Distinguished Scientist award (2009), the IBM Faculty Award (2012), an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016).