1st Speaker | Beyond Information Systems: Engineering Integrated Systems Based on Machine Learning and 5G
Engineering information systems is complex basically due to organizational issues. The right level of agility, process support, and pre-packaged software architectures usually help to manage the development of these systems. But software systems become more and more complex and manifold: Cyber-physical systems add heterogeneity, need for resilience and emerging software architectures, cognitive computing systems demand for scalability and flexible integration of machine learning services. Software systems integrating components from all these systems worlds require new software processes and architectures. They have to be operated in different modes. In this talk, an integrated system and process model is presented. Additionally, it is sketched what the use of machine learning may mean for the software process itself.
By: Prof. Dr. Volker Gruhn
Volker Gruhn is leading the Software Engineering, esp. Mobile Applications Group at the paluno – The Ruhr Institute for Software Technology. His research interests are in agile model-driven development, especially in methods for the development of mobile, distributed software systems. He was the general and program chair of the German Software Engineering Conference SE 2006 and is a program co-chair for ICSE 2008.
In the 1990s, Volker Gruhn worked at the Fraunhofer Institute for Software and Systems Engineering (ISST) and was a member of the executive board of a software company of Veba AG. He subsequently became a professor for applied computer science at the University of Dortmund, with a research focus on the development of component-based software architectures and e-business applications. From 2002 until 2010 Volker Gruhn was leading the Applied Telematics/e-Business Group at the University of Leipzig. He is founder and chairman of the board of software company adesso AG.
He is author and co-author of about 250 national and international publications.
2nd Speaker | Consensus in Group Decision Making and Social Networks
The consensus reaching process is the most important step in a group decision-making scenario. This step is most frequently identified as a process consisting of some discussion rounds in which several decision-makers, which are involved in the problem, discuss their points of view with the purpose of obtaining the maximum agreement before making the decision. Consensus reaching processes have been well studied and a large number of consensus approaches have been developed. In recent years, the researchers in the field of decision making have shown their interest in social networks since they may be successfully used for modeling communication among decision-makers. However, a social network presents some features differentiating it to the classical scenarios in which the consensus reaching processes have been applied. The objective of this talk is to investigate the main consensus methods proposed in social networks and bring out the new challenges that should be faced in this research field.
By: Prof. Dr. Enrique Herrera Viedma
- Full Professor at the Department of Computer Science and Artificial Intelligence, University of Granada.
- Vice-Rector for Research and Transfer, DECSAI – University of Granada
Enrique Herrera-Viedma was born in Jódar, Spain, in 1969. He received the M.Sc. and Ph.D. degrees in computer science from the University of Granada, Granada, Spain, in 1993 and 1996, respectively. He is currently a Professor of Computer Science with the Department of Computer Science and Artificial Intelligence, University of Granada. Around 16 of his papers are classed as highly cited in the Thomson Reuters database as well as being in the top 1% of the most cited papers in its field (Computer Science and Engineering). His h-index is 45 according to the Web of Science with more than 7500 citations received and 55 according to Google Scholar with more than 14000 citations received and he is ranked in the top 1% of the Most Cited Scientists in Engineering according to the Essential Science Indicators of Thomson. He has been identified as one of the world’s most influential scientific researchers. His current research interests include group decision making, consensus models, linguistic modeling, aggregation of information, information retrieval, bibliometric, digital libraries, web quality evaluation, recommender systems, and social media. Dr. Herrera-Viedma is an Associate Editor of seven core ISI journals such as the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, Knowledge Based Systems, Soft Computing, Fuzzy Optimization and Decision Making, Applied Soft Computing, Journal of Intelligent and Fuzzy Systems, and Information Sciences; and a member of the editorial boards of three core ISI journals Fuzzy Sets and Systems, International Journal of Information Technology and Decision Making, and International Journal of Computational Intelligence. From 2014 he is member of the government of the IEEE SMC Society.