Conferences  >  Informatics  >  Algorithms and Data Structures  >  Germany

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The tremendous potential of driverless cars and other autonomous vehicles is contrasted by the growing concerns about their safety. Recent accidents have highlighted the risks autonomous vehicles pose to occupants, pedestrians, and other road users. The uptake of autonomous mobility systems relies upon public trust in the safety of these systems, which poses an inherently inter-disciplinary problem, related to multiple fields such as autonomy, machine learning, formal methods, control theory, automotive, railway, and aerospace.

Robotics, Automation & Mechatronics,    Automotive Engineering, Roads and Railways

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Network calculus has become a mature and versatile methodology for the analysis of queueing systems with a broad variety of applications ranging from Internet Quality of Service (QoS), wireless networks, to Ethernet with delay guarantees, real-time systems, and feedback control. This is achieved through complementary, problem-specific representations in min-plus or max-plus algebra and the use of worst-case or statistical bounds. The goal of this Dagstuhl Seminar is to gather the deterministic and stochastic Network Calculus community, to discuss recent research activities, to identify future directions, and to strengthen cooperation.

Software Engineering,    Networks, Internet

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Metabolomic data, usually from mass spectrometry or nuclear magnetic resonance spectroscopy, is highly complex and information rich. With continuing advances in metabolite detection technologies, the volume and complexity of data is ever increasing. Computational analysis of metabolomic data, from raw data processing to biological interpretation, is therefore fundamental to realizing the impact of metabolomics on a diverse array of application fields, e.g., environmental toxicity, industrial biotechnology, and biomedicine. This Dagstuhl Seminar extends the Computational Metabolomics series to examine how we can enhance the utility and interpretation of metabolomics data.

Application Software,    Scientific Computing and Data Science

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

In-depth understanding of both hardware and system software layers turns out to be essential. A variety of conceptual as well as technical challenges need to be addressed. Emerging compute infrastructure imposes constraints on the design of discrete algorithms. Future developments are likely to imply even more fundamental adaptations of existing and emerging algorithms. Close collaboration of developers of algorithms with their colleagues from the high-performance computer industry turns out to be crucial for the formulation of meaningful requirements on both sides. We intend to focus on sparse linear algebra and graph algorithms while reaching out to a diverse set of representatives from industry combining expertise in modern accelerators, next-generation silicon, quantum and neuromorphic computing.

Numerical Analysis and Computational Mathematics,    Computational Physics and Numerical Simulation

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Fair division concerns the allocation of resources to a set of interested entities, according to some fairness criteria. Fair division has remained an active research area over the years, attracting the attention of several scientific disciplines, such as mathematics, computer science, game theory, and political science. Especially within the last two decades, this area has gradually drawn significantly more attention, due to the emergence of novel solution concepts, algorithmic techniques, and promising applications. It has also gained increasing popularity within computer science, since many of the field's key questions are inherently algorithmic. Consequently, there has been a notable growth of the relevant literature by now, spanning numerous fascinating research directions.