ETFA'2016 is sponsored by:  IEEE IES Fraunhofer IOSB-INA  

Prof. Dr. Reimund Neugebauer
President of the Fraunhofer-Society, Germany

Bio: Prof. Reimund Neugebauer was born in Thuringia, Germany, on June 27, 1953. He graduated from the Technische Universität Dresden (TUD) in 1979 with a degree in me-chanical engineering. From 1979 to 1984, he was a scientific associate and a senior sci-entific assistant at TUD, where he received his doctorate in 1984 and gained the post of professor in 1989. In 1991, he became director of the Fraunhofer Institute for Machine Tools and Forming Technology IWU with locations in Chemnitz, Dresden, Augsburg and Zittau. In 1993 he was appointed chair of the Machine Tools department at the Tech-nische Universität Chemnitz (TU Chemnitz) and in 2000 he became managing director of TU Chemnitz’s Institute of Machine Tools and Production Processes. On October 1, 2012, he took up the post of president of the Fraunhofer-Gesellschaft. Prof. Neugebauer is a Fellow of the International Academy for Production Engineering (CIRP) and a member of the National Academy of Science and Engineering (acatech). From 2010 to 2011 he was the president of the German Academic Society for Produc-tion Engineering and since 2014 he has been a member of Leopoldina – the German National Academy of Sciences. This year, Prof. Neugebauer was appointed co-chair of the German federal government’s High-Tech Forum, an advisory board for the develop-ment of Germany’s research and development policy. As a member of the acatech Inno-vation Dialogue steering committee, the Fraunhofer president engages with Chancellor Merkel and other government representatives as well as with high-ranking representa-tives of science, industry and society on issues of future innovation policy. He is also on the executive board of the newly established “Plattform Industrie 4.0”, an alliance of representatives from politics, industry, associations, science and trade unions.

Title: "Industrie 4.0 – From the Perspective of Applied Research "

Summary: Industrie 4.0« is about real-time data-exchange between cyber-physical systems with the overall goal to increase productivity, quality and flexibility while lowering costs for personalized products and processes. 

Enablers for »Industrie 4.0« are advances in computer, network and sensing technologies. The transformation will further progress over the next decades in face of new technologies, innovations and infrastructural settings and enable new kinds of products and business models. The ultimate vision for the factory of the future is based on the smart and digital connection of machines, robots and 3D-printers, products, sensor systems, resource infrastructures, logistics systems and ordering platforms together with humans, cloud systems, intelligent assistants and the internet. Hence, the total sourcing, production, retail, delivery and recycling processes will be regarded as a unified organism.  An essential component for this is a »Network of Trusted Data« in which secure data exchange is possible. In this context Fraunhofer pursues the project »Industrial Data Space«. It intends to make use of Big Data while ensuring a high standard of data security for the participating industries. The approach is realized by sharing data across industries such as banking, insurance or the automotive sector. This taps potential in a horizontal direction. Thus, companies will be in a position to achieve new added value resulting in totally new business models. Within the »Industrial Data Space« all data remain with their owners and will be linked and shared in a controlled and protected manner only if required for providing a service. There is no centralized platform.

The new and high degree of digitization requires sophisticated technologies in many areas. These include research and development for e.g. novel forms of cyber security, networks and fast connectivity (5G and beyond) for low latency tactile internet, computing and processing solutions, sensor integration and Machine Learning. Innovative project examples from these research areas will be shown in the presentation.

Keynote Prof. R. Neugebauer



Prof. Dr. Rolf Ernst
Technical University of Braunschweig, Germany

Bio: Rolf Ernst is a professor at the Technische Universität Braunschweig, Germany. He chairs the Institute of Computer and Network Engineering (IDA) with more than 50 employees covering embedded systems research from computer architecture and real-time systems theory to challenging automotive, aerospace, or smart building applications. His research is or was funded by national and European programs as well as by companies, such as BMW, Bosch, Daimler, Ford, GM, Toyota, Volkswagen, Intel, Siemens, or Thales.  He chaired major scientific events, such as ICCAD, DATE, or ESWEEK. He was a member of the European ARTEMIS Strategic Research Agenda team and served as an expert for the successor program ECSEL as well as for H2020. He is an IEEE Fellow, a DATE Fellow, served as an ACM SIGDA Distinguished Lecturer, and is a member of the German Academy of Science and Engineering, acatech. He is a member of the advisory board (Beirat) of the German Ministry of Economics and Technology for entrepreneurship programs ( In 2014, he received the Lifetime Achievement Award of the European Design Automation Association, EDAA.

Title: Automotive Ethernet – Opportunities and Pitfalls
The automotive industry is undergoing major changes. Automatic driving, electro mobility, and wireless connectivity are changing automotive technology at the same time, more than any other innovation over decades of automotive history. Automotive embedded systems are at the core of this development facing new challenges to performance, safety and security. Embedded systems technology is answering with a transition from traditional single core microcontrollers to multi- and manycore systems, and with new network architectures.
Today, Switched Ethernet is generally accepted as the future automotive backbone technology. Switched Ethernet provides a great opportunity to improve performance and control cost, but is not without risk when it comes to functional safety. Such risks are not limited to protocol and communication stacks but include switch and gateway implementations as well as individual car network configurations.
The presentation will start with an overview on the use of Switched Ethernet in time and safety critical applications before it summarizes potential shortcomings when applied to safety critical systems, such as violations of freedom from interference which equally affect safety and security. The talk will show that the obstacles can generally be mitigated when using a holistic design approach starting from the concept phase to verification to monitoring in the field thereby avoiding unnecessary communication complexity.



Prof. Dr. John S. Baras
University of Maryland, USA

Bio: John S. Baras  received B.S. in Electrical and Mechanical Engineering from the National Technical University of Athens, Greece, 1970; M.S. and Ph.D. in Applied Mathematics from Harvard University 1971, 1973. Since 1973 with the Electrical and Computer Engineering Department, and the Applied Mathematics Faculty, at the University of Maryland College Park. Since 2000 faculty member in the Fischell Department of Bioengineering. Since 2014 faculty member in the Mechanical Engineering Department. Founding Director of the Institute for Systems Research (ISR) from 1985 to 1991. Since 1991, Founding Director of the Maryland Center for Hybrid
Networks (HYNET). Since 2013, Guest Professor at the Royal Institute of Technology (KTH), Sweden. Life Fellow of the IEEE, Fellow of the SIAM, Fellow of the AAAS and a Foreign Member of the Royal Swedish Academy of Engineering Sciences. Received the 1980 George Axelby Award from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2014 Tage Erlander Guest Professorship from the Swedish Research Council, and a three year (2014-2017) Hans Fischer Senior Fellowship from the Institute for Advanced Study of the Technical University of Munich, Germany. Professor Baras’ research interests include automatic control, communication and computing systems and networks, and model-based systems engineering.

Title: The Next Wonder – MBSE/MBE: From Ideas to “Making Products and Services”

Summary: Advances in Information Technology have enabled the design of complex engineered systems, with large number of heterogeneous components and capable of multiple complex functions, leading to the ubiquitous cyber-physical systems (CPS). These advances have at the same time increased the capabilities of such systems and have increased their complexity to such an extent that systematic design towards predictable performance is extremely challenging, if not infeasible with current methodologies and tools. We first describe a rigorous framework we are developing for model-based systems engineering (MBSE), a system level design methodology that addresses these challenges, which also incorporates manufacturing, operation and life cycle considerations. We describe the three fundamental components for MBSE within our framework: (a) An integrated systems modeling hub built around SysML, employing meta-modeling methods and environments and easy interfaces with a variety of domain specific design methods and tools; (b) Linking this modeling hub with tradeoff analysis tools for design space exploration, employing linkage with the parametric and requirements diagrams of SysML, and integrated methods and tools from multi-criteria mixed (integer and numerical variables and metrics) optimization and constrained based reasoning; (c) Representation and management of requirements, employing initial efforts towards an integration of methods and tools from model checking, contract based design and automatic theorem proving, and including finite time temporal logic specifications for system behavior. We describe our results for conquering and managing the complexity of queries in design, manufacturing and operational space exploration. We provide a short description of the new fundamental challenges faced when incorporating humans as elements of such complex systems, a subject of rapidly increasing importance in view of the “networked society” and the “interconnected coevolving sociotechnical networks” paradigms. We next describe applications of the framework to several important current technological problems (several major domains of CPS): power grids, automotive, aerospace, energy efficient buildings, sensor and communication networks, smart manufacturing, robotics and UAVs, health care, cyber-security. We close with a description of what is still lacking, research challenges and future promising research directions.

Keynote Prof. J.R. Baras



Prof. Dr. Wolfgang E. Nagel
Technical University of Dresden, Germany

Bio: Wolfgang E. Nagel has studied computer science at Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen from 1979 to 1985. From 1985, he has worked in the area of parallel computing at the Central Institute for Applied Mathematics (now called Jülich Supercomputing Center, JSC), Research Center Jülich, and at the Center for Advanced Computing Research (CACR), Caltech. He received his PhD from RWTH Aachen in 1993 and is a Full Professor at Technische Universität Dresden since June 1st, 1997. Since 2001, he holds the Chair for Computer Architecture in the Department of Computer Science and is Director of the Institute of Computer Engineering. Wolfgang Nagel was Dean of the Department of Computer Science from 2006 to 2009 and member of the DFG commission for IT-Infrastructure (KfR) from 2006 to 2012. Currently, he is the chairman of the Gauß-Allianz, chairman of the Advisory Board of the HLRS Stuttgart, and member of the Advisory Board of the Gauss Centre for Supercomputing (GSC). Moreover, he serves as the head of the Scientific Advisory Council of FIZ Karlsruhe as well as a member of the Supervisory Board, and of the Board of Directors of the Bildungsportal Sachsen GmbH (Stellv. Aufsichtsratsvorsitzender). Wolfgang Nagel has published more than 150 papers covering modern pro¬gramming concepts and software tools to support the development of scalable and data intensive applications, analysis of innovative computer architectures, and the development of efficient parallel algorithms and methods. He has been the Founding Director of the Center for Information Services and High Performance Computing (ZIH) at TUD (currently about 150 employees), which provides HPC expertise, support, and computational resources to all universities and non-university research labs in the State of Saxony. Since October 2014, he is the Scientific Coordinator of ScaDS Dresden/Leipzig, one of the two German Big Data competence centers funded by the BMBF. After the completion of the new Lehmann Centre’s machine room (5 MW power infrastructure, investment 45 Mio. Euro) in 2015, the peak performance of the Dresden HPC systems has been extended in a first step to more than 1,5 PFLOPS.

Title: Big Data and beyond: What can we expect in the future!
The sheer volume of data generated and accumulated in industry as well as in many scientific disciplines is a critical issue that needs even more attention, especially on the management and political level. The data is generated already today by production environments with hundreds of millions of parts, cameras, sensors, robots, but also technical devices like microscopes, usage and business data, as well as logistic information, to name just a few sources. This will be driven to even higher levels by the developments in the Internet of Things. Autonomous driving and Cyber-Physical Systems as further enabling technologies for new business opportunities, but also challenging operation procedures for data processing. In future, the successful management of these challenges may decide on business success – or failure. There is an urgent need for intelligent mechanisms to acquire, process, and analyze data, which have to run and scale efficiently on current and future computing architectures. To be prepared for the future, we need quite some changes in our data processing procedures, but essential will be the availability of experts working as data architects, data scientists, but also data change agents and information brokers.

Keynote Prof. W.E. Nagel



Prof. Dr.  Alf Isaksson
ABB Corporate Research, Sweden

Bio: Alf Isaksson received his MSc and PhD from Linköping University, Sweden in 1983 and 1988 respectively. After graduating he stayed at Linköping University until 1991 as an Assistant Professor. From 1991 to 1992 he spent one year as a Research Associate at The University of Newcastle, Australia. Returning to Sweden in 1992 he moved to the Royal Institute of Technology (KTH) in Stockholm, where eventually in 1999 he was promoted to full Professor. In 2001 he made the shift from academic to industrial research and joined ABB Corporate Research in Västerås, Sweden. After a specialist career culminating in an appointment to Corporate Research Fellow 2009, he is now since January 2014 Global Research Area Manager with the responsibility of internally funding all research in Control at all ABB’s research centers world-wide. At the same time he still kept a connection to the academic world as Adjunct Professor at Linköping University for 10 years 2006-2015.

Title: Automatic Control: Future Challenges, Solutions, and Systems
Since the turn of the century the on-going Digitalization has more or less completely transformed the consumer markets. The similar change in industry has only started and the next decade we will see a lot of changes also in process and manufacturing industry as well as power systems. This talk will focus on the impact this has on Automatic Control in a broad sense. The notion of Internet of Things, as well as related topics like Cyber-Physical Systems, means that the entire architecture for control systems will be subject to change. As a major supplier of automation systems, ABB has long been at the forefront of technology that connects devices to each other, helping lead the revolution that began with the Intranet of Things. There are multiple possible directions in which the future systems may develop. The access to cheap microprocessors may lead to a much more decentralized control than today’s control systems. On the other hand improved means of communication, such as 5G, and the scalable potential of cloud computing could lead in the complete opposite direction. Similarly, what used to be independent systems, e.g. process automation and power systems, are getting more and more integrated with each other. The presentation will of course be confined to the application areas where ABB is active. This still means that it will contain examples in such diverse applications as process industry (oil& gas, pulp & paper, mining), manufacturing industry, power generation and marine & cranes.