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Keynote Lectures

Data Mining in the XXI Century
João Gama, LIAAD - INESC TEC, University of Porto, Portugal

Is IoT Ready for the Real World? A Systems Research Perspective
Gian Pietro Picco, University of Trento, Italy

The Past, Present and Future of Business Process Management
Jan Mendling, Vienna University of Economics and Business, Austria

Available soon
Tobias Hoellwarth, EuroCloud Europe, Austria

 

Data Mining in the XXI Century

João Gama
LIAAD - INESC TEC, University of Porto
Portugal
 

Brief Bio
João Gama is an Associate Professor at the University of Porto, Portugal. He is also a senior researcher and member of the board of directors of the Laboratory of Artificial Intelligence and Decision Support (LIAAD), a group belonging to INESC Porto. João Gama serves as the member of the Editorial Board of Machine Learning Journal, Data Mining and Knowledge Discovery, Intelligent Data Analysis and New Generation Computing. He served as Co-chair of ECML 2005, DS09, ADMA09 and a series of Workshops on KDDS and Knowledge Discovery from Sensor Data with ACM SIGKDD. He was also the chair for the conference of Intelligent Data Analysis 2011. His main research interest is in knowledge discovery from data streams and evolving data. He is the author of more than 200 papers reviewed by peers and author of a recent book on Knowledge Discovery from Data Streams. He has extensive publications in the area of data stream learning.


Abstract
Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current machine learning and data mining algorithms. We discuss the fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change detection. Data streams are characterized by huge amounts of data that introduce new constraints in the design of learning algorithms: limited computational resources in terms of memory, processing time and CPU power. In this talk, we present some illustrative algorithms designed to taking these constrains into account. We identify the main issues and current challenges that emerge in learning from data streams, and present open research lines for further developments.



 

 

Is IoT Ready for the Real World? A Systems Research Perspective

Gian Pietro Picco
University of Trento
Italy
 

Brief Bio
Gian Pietro Picco is a professor in the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. His research spans the fields of software engineering, middleware, and networking, and is currently oriented towards wireless sensor networks, Internet of Things and Cyber-Physical systems, mobile computing, and large-scale distributed systems. The research performed in his group combines theoretical study and in-field validation in real-world applications, and has led to several awards, including a "Most Influential Paper" at ICSE'07 (for a paper published a decade earlier) and Best Paper Awards at IPSN (2009, 2011, 2015), PerCom (2012), and EWSN (2018). He is an associate editor for ACM Trans. on Sensor Networks (TOSN), and has served in the same role for IEEE Trans. on Software Engineering (TSE) and the J. of Pervasive and Mobile Computing. He is also the co-Editor-in-Chief of the newly-created ACM Transactions on the Internet of Things (TIOT).


Abstract
The Internet of Things (IoT) is a compelling vision attracting considerable interest from both industry and academia. However, it is also one where it is often hard to separate the hype from what is concretely in reach of today's technology. In this talk, I take my own decade-long research on a key enabler of the IoT vision, wireless sensor networks (WSNs), as the opportunity to reflect on the present and future of research on IoT. My perspective is eminently system-driven, and revolves about a real-world application we deployed in-field and for which our recent research reports an 80x improvement in energy consumption w.r.t. the initial baseline. These improvements are representative of what has been achieved by WSN research, and may be illustrative of what we can expect in the near future from IoT at large. On the other hand, I also argue that the root of these achievements lies in a few key factors whose presence is not immediately evident in today's IoT research. These factors, along with a few challenges and current trends discussed in the talk, are going to determine whether and how the IoT vision will ultimately materialize.



 

 

The Past, Present and Future of Business Process Management

Jan Mendling
Vienna University of Economics and Business
Austria
 

Brief Bio
Jan Mendling is a Full Professor with the Institute for Information Business at Wirtschaftsuniversität Wien, Austria. His research interests include business process management and information systems. He has published more than 300 research papers and articles, among others in the Journal of the Association of Information Systems, ACM Transactions on Software Engineering and Methodology, IEEE Transaction on Software Engineering, Information Systems, European Journal of Information Systems, and Decision Support Systems. He is a board member of the Austrian Society for Process Management, one of the founders of the Berliner BPM-Offensive, and member of the IEEE Task Force on Process Mining. He is a co-author of the textbooks Fundamentals of Business Process Management and Wirtschaftsinformatik.


Abstract
Business process management has its roots in workflow modeling and office automation in the 1970s. Since then, it has been closely intertwined with various trends and developments in the area of information system engineering. This talk reflects upon this co-evolution and comments on emerging trends of both fields including blockchain and robotic process automation.



 

 

Keynote Lecture

Tobias Hoellwarth
EuroCloud Europe
Austria
 

Brief Bio
Dr. Höllwarth has worked as a corporate consultant specialized in IT projects for over 20 years. In addition to his work at the Vienna University of Economics and Business he also founded the companies Höllwarth Consulting, ICT Advisory Network and Sourcing International. Dr. Tobias Höllwarth was a founding member of EuroCloud Austria where he is today a member of the Board and is the director for the international StarAudit program and president of EuroCloud Europe. He acts as an expert for questions pertaining to certification at the Austrian Standards Institute and is leader of the Austrian delegation that participates in negotiations with the International Organization for Standardization (ISO) where cloud computing is concerned.


Abstract
Available soon.



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