16th European Dependable Computing Conference
7-10 September 2020
Munich, Germany
Workshops
Workshops have moved from physical mode to digital mode due to pandemic COVID-19. Since the workshops will not be held in-site there will be no registration fees!
For AI4RAILS, DREAMS, DSOGRI and SERENE workshops
The EDCC Workshops CCSI Springer proceedings are now available! Follow this link
AI4RAILS - 1st International Workshop on Artificial Intelligence for RAILwayS
Organizers:
Workshop chairs: Stefano Marrone (University of Naples Federico II, Naples, Italy), Roberto Nardone (Mediterranean University of Reggio Calabria, Reggio Calabria, Italy)
Workshop series steering committee chairs: Francesco Flammini (Linnaeus University, Växjö, Sweden), Valeria Vittorini (University of Naples Federico II, Naples, Italy)
The impact of Artificial Intelligence (AI) techniques on industry has been so disruptive that it gave rise to a new wave of research and applications. Several industries, mainly in logistics and manufacturing, have benefited significantly from AI adoption and this positive trend is planned to be kept in the future. Modern and future railways represent one of the fields in which AI is expected to have a significant impact in a medium to long term perspective, in order to get higher levels of automation. On the one hand, this opens for unprecedented scenarios for railway systems, but on the other hand, it also raises concerns regarding system dependability and new threats associated with a high level of autonomy. Therefore, the first step towards the adoption of AI in the railway sector is understanding to what extent AI can be considered reliable, safe and secure. In such a context, building upon the ongoing Shift2Rail project RAILS (Roadmaps for the AI integration in the raiL Sector), the aim of the 1st AI4RAILS workshop is to provide a forum for researchers, practitioners and business leaders to discuss and share new perspectives, ideas, technologies and solutions for an effective and dependable integration of AI techniques in rail-based transportation systems.
Website: https://sites.google.com/view/ai4rails/home-page
WS ProceedingsDREAMS - Dynamic Risk managEment for Autonomous Systems
Organizers: Rasmus Adler, Daniel Schneider (Fraunhofer IESE, Kaiserslautern, Germany), Phillip Schleiß (Fraunhofer IKS, Munich, Germany)
Autonomous systems have enormous potential and they are bound to be a major driver in future economical and societal transformations. Their key trait is that they pursue and achieve their more or less explicitly defined goals independently and without human guidance or intervention. In contexts where safety, or other critical properties, need to be guaranteed it is, however, presently hardly possible to exploit autonomous systems to their full potential. Unknowns and uncertainties are induced due to high complexity of the autonomous behaviors, the utilized technology and the volatile and highly complex system contexts. These characteristics render the base assumptions of established assurance methodologies (and standards) void, hence new approaches need to be investigated. One general approach to deal with such unknowns and uncertainties is to shift parts of the development time assurance activities into runtime when all required information can be resolved.
Giving systems runtime assurance capabilities means empowering them to monitor their environments (i.e. other collaborating systems as well as the physical environment), analyze and reason about implications regarding key safety requirements, and, execute control actions to ensure adherence to these requirements at any time – thus conducting Dynamic Risk Management (DRM). DRM has the potential to not only outright enable certain types of systems or applications, but also to significantly increase the performance of already existing ones. This is due to the fact that by resolving unknowns and uncertainties at runtime it will be possible to get rid of worst case assumptions that typically detriment the systems performance properties. The DREAMS workshop intends to explore concepts and techniques for realizing DRM. It invites experts, researchers, and practitioners for presentations and in-depth discussions about prediction models for risk identification, integration between strategic, tactical and operational risk management, architectures for dynamic risk management, and V&V of dynamic risk management.
DREAMS aims at bringing together communities from diverse disciplines, such as safety engineering, runtime adaptation, predictive modelling, control theory, and from different application domains such as automotive, healthcare, manufacturing, agriculture and critical infrastructures.
Website: https://www.iese.fraunhofer.de/en/seminare_training/edcc2020-workshop.html#tabpanel-908530556
Important Dates:
- Abstract Submission: May 25, 2020
- Camera Ready Papers: July 15, 2020
DSOGRI - 2nd International Workshop on Dependable SOlutions for Intelligent Electricity Distribution GRIds
Organizers: Nicola Nostro (Resiltech s.r.l., Italy), Rasmus Løvenstein Olsen (Aalborg University, Denmark)
Electrical distribution grids are required to deliver an increasingly more efficient and reliable supply of electricity to end users while supporting also a higher penetration of renewable energy resources. This increased penetration of renewable energy resources as well as the use of increasingly connected intelligent meters, inverters, electrical vehicle represent a challenge for reliability. For this purpose, Distribution System Operators (DSOs) need to implement intelligent solutions capable of guaranteeing a high level of resilience to their systems by offering new functionalities as for example prompt identification and localization of faults and diagnosis. Such solutions are based in communication technologies, ICT infrastructures, data collection and management, which create the basis for obtaining intelligent, reliable and efficient distribution grids. Despite these functionalities offers a more effective and successful management of electricity distribution, they also introduce a level of interdependence between the ICT infrastructure and the electricity grid, as well as potential cyber-security vulnerabilities, that must be managed.
The purpose of this workshop is to investigate issues related to the ICT-based management of failures, including cyber-security aspects, the ability to quantify the quality of the data collected from the sub-systems deployed in the field, in order to make an appropriate diagnosis and detection. Moreover, the workshop provides a forum for researchers and engineers in academia and industry for discussing and analyzing current solutions and approaches, research results, experiences, and products in the field of intelligent electricity grids. Its ultimate goal is to presents the advancement on the state of art in this domain and spreading their adoption in several scenarios involving main DSOs of the power domain.
Website: http://www.dsogri.eu/
SERENE - 12th International Workshop on Software Engineering for Resilient Systems
Organizers: Amleto Di Salle (University of L'Aquila, Italy), Paolo Masci (National Institute of Aerospace, Langley Research Center, USA)
Resilient systems withstand, recover from, and adapt to disruptive changes with acceptable degradation in their provided services. Resilience is particularly remarkable for modern software and software-controlled systems, many of which are required to continually adapt their architecture and parameters in response to evolving requirements, customer feedback, new business needs, platform upgrades, etc. Despite frequent changes and disruptions, the software is expected to function correctly and reliably. This is particularly important for software systems that provide services which are critical to society, e.g., in transportation, healthcare, energy production and e-government. Since modern software should be developed to cope with changes, unforeseen failures and malicious cyber-attacks efficiently, design for resilience is an increasingly important area of software engineering.
The SERENE workshop aims to bring together leading researchers and practitioners from academia and industry, to advance the state-of-the-art and to identify open challenges in the software engineering of resilient systems.
Website: http://serene.disim.univaq.it/2020/
Important Dates:
- Abstract Submission: May 25, 2020
- Camera Ready Papers: July 15, 2020
TAIWAN-DCC - 1st International Workshop on Technology of AI and Wireless Advanced Networking: Dependable Computing and Communication
Organizers:
Workshop Chair:
Lin-huang Chang (National Taichung University of Education, Taiwan)
Workshop co-Chairs:
Jiun-Jian Liaw, Hung-Chi Chu (ChaoYang University, Taiwan), T. H. Lee, National (Taichung University, Taiwan),
Chuan-Pin Lu (Meiho University, Taiwan)
The workshop on Technology of AI and Wireless Advanced Networking: Dependable Computing and Communication (TAIWAN-DCC) is organized to discuss the state-of-the-art for the dependable computing and secure communication applied on Artificial Intelligence (AI), Internet of Things (IoT), Intelligent Transportation System (ITS), and wireless advanced networking fields. The availability, reliability, maintainability and performance of the IoT, ITS, advanced networking system and/or AI designed modules will play one of very important roles in the system evaluation. The security issues, such as network intrusion detection problems in the IoT, ITS and wireless advanced networking system, and the generative adversarial network (GAN) problems in machine learning systems, have gained significant concerns and explosive growth in research and industrial deployment. The purpose of this workshop is to provide a forum for academic and industrial researchers as well as practitioners to present prospective technologies, models, systems and applications related to the dependable and secure computing in AI, IoTs, ITS, and advanced networking areas.
Website: http://www.ntcu.edu.tw/lchang/Conf-TAIWAN-DCC.htm