Workshops Main Lines
Workshops Main Lines
Systems Theory and Applications (Pichler, Moreno-Díaz)
The central interest is in the presentation of new results in Systems Theory and Model Based Simulation using mathematical or logical methods for model building, model representation, model decomposition and model technology mapping. This includes method based systems in the sense of CAST tools which support designers in theoretical issues. Also successful general applications of systems-theoretical methods in different areas of science and engineering are welcomed.
Pioneers and Landmarks in the development of Information and Communication Technologies (Pichler, Stankovic, Kreuzer F, Kreuzer J)
The workshop deals with the various aspects of the life and work of world important pioneers in the field of Information and Communication Technologies, as well as the landmarks in the historical development of infrastructures of these technologies in different countries. This includes important device inventions, and the physics and mathematics discoveries and developments in which the foundations lay. Also, important predictions by Science Fiction masters are welcome. The main goal is to interest all scientists and engineers (specially the younger generations) in the history of their field.
Stochastic Models ans Applications to Natural, Social and Technical Systems (Nobile, Di Crescenzo)
The Workshop deals with theory and applications of probability in the modeling of random phenomena in the natural sciences, social sciences and technology, focusing on mathematical theory, analytical, algorithmic, experimental approaches and computational methods.
Practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories, reliability, queueing theory, optimization and operations research are very welcome as well.
Theory and Applications of Metaheuristic Algorithms (Affenzeller, Jacak, Raidl)
This Workshop is devoted to explore heuristic methods and their successful applications and potentialities in solving real complex problems. Suggested topics include, but are not restricted to: New algorithmic developments; Theory and application of Genetic Algorithms and Genetic Programming; Other heuristics (Simulated Annealing, Tabu Search, Ant Colony Optimization, Particle Swarm Optimization, Scatter Search, etc.); New generic Hybrids; Parallel Heuristics; Applications in Combinatorial Optimization and Applications in Bio and Medical Informatics.
Embedded Systems Security (WESS) (Mayrhofer, Schmitzberger)
The 1st International Workshop on Embedded Systems Security aims at bringing together researchers, developers, and industry practicioners on the topic of security by and security for embedded systems. This focus on embedded system specifically includes small computer systems in unattended, continuous in-production use and both aspects of their security: a) employing dedicated embedded systems *for* improving the security of a larger system (such as complex computer networks, industrial control systems, or even networked vehicles); and b) methods to improve the security *of* embedded systems that have a main task that it typically not primarily computer security in itself. Specific areas of interest of Eurocast IWESS include, but are not limited to:
- Embedded operating system security
- Network security devices for detecting and/or preventing malicious traffic
- System and network/bus monitors for detecting and/or preventing malicious actions
Model-Based System Design, Verification and Simulation (Nikodem, Ceska, Ito)
The workshop concentrates on the role of simulation and formal analysis and verification tools in the design of reliable systems. Topics include embedded systems design, distributed and reactive systems design, reality-in-the-loop simulation, modelling formalisms and languages, model transformations, formal analysis and verification methods, model continuity, design methodologies, supporting tools, etc.
Process Modeling and Simulation (Grossmann, Rinderle Ma)
In the last years process mining has reached maturity as scientific discipline for analyzing real world processes in different application areas like medicine, business, production, or education. Aim of this workshop is to bring together scientists working in this area and to discuss different approaches how we can connect theoretical considerations in process modeling with empiricalapproaches. Besides methodological papers about techniques for process adaptation, process simulation, and data quality improvement, we will also include contributions about real world applications showing the potential of the method.
Applications of Signal Processing Technology (Huemer, Zagar, Lunglmayr, Haselmayr)
Signal processing (SP) is an enabling but mostly hidden technology for many of today’s electronic products and in industry applications. The successful deployment of signal processing algorithms typically incorporates mathematical system modeling, computer simulation, algorithm selection and testing, as well as implementation aspects. The workshop aims at bringing together scientists of different fields of applications who deploy signal processing technology and algorithms such as optimized digital filters, adaptive filters, statistical signal processing, or estimation and detection methods, in their respective areas. It shall facilitate the interexchange of SP experience across different research areas so as to inspire new ideas in the participants’ fields of research.
Algebraic and Combinatorial Methods in Signal and Pattern Analysis (Astola, Moraga,Stankovic)
Signal processing has greatly changed during the last decades, particularly due to steadily increasing processing power, data density -("Big Data")- and demands of online processing. These are new challenges for Signal Processing and Pattern Analysis understood as comprising methods of analyzing, manipulating and presenting natural information. Information may emerge from measurements on physical devices, and it may appear in the form of pictures, patterns, texts, or structured subsystems. The increase in the structural complexity of measured information also allows the use of sophisticated algebraic and combinatorial models and calls for new methods and algorithms. These methods may also be useful in solving various tasks in other scientific areas such as System Design and Cybernetics.
Computer Vision, Deep learning and Applications (Penedo, Radeva)
-Image and video analysis: Object recognition, Convolutional neural networks, Video analysis, Segmentation, Color analysis, Texture analysis, Motion analysis,Tracking, Real-time imaging, Temporal-spatial Analysis, Deformable models, Image fusion, Multi-modal image processing
-Machine learning for image analysis: Feature selection and extraction, Classification and Clustering, Image understanding, Machine vision, Computer vision, Statistical methods, Statistical estimation, Image Description and Recognition, Neural Network architectures, Deep Learning in image processing
-Applications: Face recognition, 3D face recognition, Gesture recognition, Biometrics, Biomedical imaging, Bioinformatics, Document Processing, Multimedia, Security Systems, Surveillance, Visual Inspection, Other
Computer and Systems Based Methods and Electronic Tools in Clinical and Academic Medicine (Rozenblit, Hagelauer, Maynar, Klempous)
This workshop will focus on how we leverage from high technology - specifically, advanced modeling and simulation methods - to support medical tranining, research, and actual medical procedures
- Virtual and Augmented Reality in Medical Teaching and in Surgery Training
- Intelligent Systems as Diagnostics Assistants
- Medical care specific soft and hardware
- Remote diagnosis and monitoring systems
- Formal and Computer Models of Patient- Prescriptions Interaction.
CyberMedical Systems (Rudas, Kovács, Fujita)
As informatics encompass our everyday life we have to deal with the cyberphysical challenges: communication and computational issues of the physical devices or systems. From medical point of view due to its critical aspects extra guarantees should be covered. Therefore, the control engineering aspects remain one of the most important issues: embedded software controlling, delay problems caused by network communication, estimating the unknown / unmeasurable physiological signals, but multi-sensing, cloud robotics, multi-feature extraction in multidimensional data, cognitive analysis of patients, medical knowledge-based systems issues should be also taken into account. The workshop is oriented on dealing the above mentioned problems.
Chairpersons: Schwaninger (St. Gallen CH), Schoenenberger (Basel CH), Tretter (Munich DE), Cull (Corvallis OR US), Suárez-Araújo (Las Palmas ES)
The purpose of this workshop is to advance in the understanding and modeling of social, economic, and biological processes and systems. The broad design which includes all of these domains, in an integrated mode, is taken on purpose, - to foster transdisciplinary thinking and to build bridges between the social and natural sciences. We welcome formal contributions but also works of applied research, namely related to the challenges facing our society. As far as the methods used are concerned, we encourage formal, continuous and discrete mathematical, algorithmic, logic, fuzzy, probabilistic, including simulation approaches. Also, formal neural nets, models of the nervous system and computer software applications will be included.
Intelligent Transportation Systems and Smart Mobility (Sanchez-Medina, Celikoglu, Olaverri-Monreal, García-Fernández, Acosta-Sánchez)
This Workshop is meant as a continuation and renewal of two past traditional EUROCAST Workshops, namely "Traffic Behaviour, Modeling and Optimization" and "Mobile and Autonomous Transportation Systems"
The concept of ‘Smart Mobility’ is an essential part of the ‘Smart City’ paradigm, that has so far been understood as a fusion of Information and Communication Technologies (ICT) with Transportation. However, this is only a simplistic notion of what ‘Smart Mobility’ really needs to be. In this workshop we will extend that vision and explore from traffic modeling and management to transportation electrification, human factors and autonomous driving, in a holistic and human centered approach. To do so we will work to have contributions from reputed scientists coming from all of the aspects of the proposed theme.
Marine Sensors and Manipulators (Sosa)
The objective of this Workshop is to bring together developers and researchers of sensors and manipulators as well as their supporting technologies in the Marine field. Due to the development of Marine Robots, special attention will be devoted to sensors as part of the payload of ASVs, AUVs, UAVs, Gliders, Drifters, and ROVs, and other type of platforms.
Some of the topics include: Acoustics, Optics, Vision, Communication, Tactile, Exoskeletons, Materials, Hydraulic and Electric Manipulators among others, with applications to submarine volcanoes, deep sea mining, cable industry, O&G, etc. The workshop will provide a forum for developers and researchers from industry and academia to engage in fruitful discussions on the present and future of marine sensors and manipulators, specially focused on marketable ideas, innovative products and prototypes, and new research lines and applications. Space for demonstrations and hands-on tutorials will be provided together with networking and social activities for promoting collaborations. See http://marinerobotics.es/
Systems in Industrial Robotics, Automation and IoT (Stetter (Munich, D), Markl (Vienna, A), Jacob (Kempten, D))
In the age of IoT and Industry 4.0 industrial robots and automation systems are affected by the dynamically increasing influence of software. The increasing implementation of software in industrial robots and other production systems offer new possibilities like human-robot-cooperation, high flexibility of production processes and reduction of lot size down to one for mass customization. The higher complexity and multidisciplinarity requires new methods for modelling and new tools for engineering of those systems. Therefore new approaches like deep learning and artificial intelligence have to be implemented to reduce complexity for the developer and to realize self-optimizing systems. The digitalization in the production offers possibilities for a deeper understanding and controlling of production processes and leads to higher quality and higher flexibility due to paralleling planning, programming and production processes during construction, start-up and running of production systems. The workshop should give the possibility to present new concepts, research results and best-case-studies of these topics. The exchange of experience of how to do innovation in the field of IoT and automation is the basis for new approaches in the fast changing and multidisciplinary field Industry 4.0.