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High Performance Computing, Analytics, Electronics and Digital Transformation

High Performance Computing, Analytics, Electronics and Digital Transformation

By now, digital transformation has reached all sectors of human society. With highly visible main research areas, FAU fully covers this field by addressing scientific and engineering conditions as well as various applications. Digitization starts with basic hardware created by modern electronics. Electronic components, sensors, switching technology as well as signal processing and transfer are parts of this key research priority at FAU. With more than 1,000 researchers, the High Performance Center for electronic systems – a joint initiative of FAU and the Fraunhofer Gesellschaft – stands as a nationwide beacon. In addition, research in the field of information technology brings forth new forms of communication, e.g. state-of-the-art audio and video coding (Home of MP3), or Big Data Analytics.

The field of Modeling and Simulation covers the research on numerical tools for data analytics and the definition of complex system. The aforementioned basics of information technology are used in the development of innovative models and algorithms.

High Performance Computing (HPC) is the pivotal tool that enables scientists to gain insights that are only accessible using advanced simulation techniques. By developing highly efficient, parallel application programs, computer science unlocks the potential of modern high-performance computers for modeling and simulation. The methodological foundations and applications in all disciplines are pooled at the Central Institute for Scientific Computing (Zentralinstitut für Scientific Computing, ZISC).

All five faculties of FAU are actively researching on scientific applications of numerical modeling and simulation, e.g. process simulation at the Faculty of Engineering simulation-aided diagnostics at the Faculty of Medicine, electronic structure computations at the Faculty of sciences, optimization of logistic processes and market designs at the Faculty of Business, Economics, and Law, as well as forecast research in cultural studies at the Faculty of Humanities, Social Sciences, and Theology. Modeling and data analytics are a main research field within the Cluster of Excellence Engineering of Advanced Materials (EAM) at the Energy Campus in Nuremberg (EnCN), the association for Digital Health (VdigG) and in pattern recognition applied in sports science or diagnostic research.

Across faculties, the simulation of atomic structures constitutes a focus in High Performance Computing. Simulation methods and their applications are represented here in their full width and are an essential part of the research in chemistry, life science, physics, materials science and engineering.

The digitization of our society in industry, communication and the personal environment is the field of work and research. Examples include social media as well as the change of social and spatial conditions, which can be examined by digital geography. Networks such as the IZ Digital or the Center for Management, Technology & Society allow for interdisciplinary research.

Outstanding activities

Contact

Prof. Dr. Alexander Martin

  • Organization: Department of Mathematics
  • Working group: Chair of Applied Mathematics (Mixed-Integer Linear and Nonlinear Optimization)
  • Phone number: +49 9131 85-67163
  • Email: alexander.martin@math.uni-erlangen.de