Distinguished Lectures Series 2015

The Distinguished Lecture Series of the Department of Computer Science at the University of Innsbruck seeks to bring new perspectives and ideas to our researchers, students, alumni and friends.

It is our great pleasure to announce the next distinguished computer science lecture by Prof. Felix Schürmann, co-director of the Blue Brain Project and involved in several research challenges of the European Human Brain Project:

The Human Brain Project from a Computing Angle

Date: Wednesday, 10th of June 2015, 5 pm
Location: SR1+2, Ground floor, ICT Technologiepark, Campus Technik, 6020 Innsbruck


Many areas of science and engineering have adopted simulation-based research as a novel tool for discovery and insight. The sustained performance growth in supercomputer performance allows ever more detailed models, which makes supercomputing nowadays also a viable tool for biology. However, the heterogeneity of biological systems challenges many aspects of scientific computing: intricate workflows are required for model generation, mathematical formulations are volatile, and memory requirements are demanding. At the same time, the weak scaling properties of many biological systems are enormous and therefore are a good match for today’s massive parallelism in supercomputers, whereas the multiple time scales inherent to biological systems requires outside-the-box thinking. The European Human Brain Project is leveraging and driving novel information and computing technology for helping to generate a collaborative framework where our knowledge about the mammalian brain and ultimate the human brain can be integrated.

The talk is intended for a general audience. Everybody is welcome!


Felix Schürmann is adjunct professor at the Ecole Polytechnique Fédérale de Lausanne, co-director of the Blue Brain Project and involved in several research challenges of the European Human Brain Project. He studied physics at the University of Heidelberg, Germany, supported by the German National Academic Foundation. Later, as a Fulbright Scholar, he obtained his Master's degree (M.S.) in Physics from the State University of New York, Buffalo, USA, under the supervision of Richard Gonsalves. During these studies, he became curious about the role of different computing substrates and dedicated his master thesis to the simulation of quantum computing. He studied for his Ph.D. at the University of Heidelberg, Germany, under the supervision of Karlheinz Meier. For his thesis he co-designed an efficient implementation of a neural network in hardware.  


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