Supervision…
…of numerous final theses (Bachelor and Master) and commitment to the promotion of young talent, e.g. through the nationwide Girls-Day
Appointed member…
…of the program committee High-Performance Computing in Remote Sensing, Sep 2015
Several years reviewer for the IEEE…
Journal of Selected Topics in Applied Earth Observations and Remote Sensing – Focussing on high-performance computing aspects.
Appointed peer reviewer for multiple Journals and Press…
e.g. for the Oxford University Press „Briefings in Bioinformatics“ – Focussing on algorithms and high-performance computing aspects.
Certified in…
…HPC (High Performance Computing), Machine Learning (Stanford), PMP (Project Management Professional), SCRUM
Member of Societies…
…ACM & SPIE
GRANTS (thankfully received)
European Network on High Performance and Embedded Architecture and Compilation (HiPEAC), Berlin, Germany, Jan 2013 [Full Conference Fee Grant]
International Symposium on Code Generation and Optimization (CGO), San Francisco Bay Area, USA, Feb 2015 [ACM SIGPLAN Professional Activities Grant]
GPU Technology Conference (GTC), Silicon Valley (San José), USA, April 2016 [NVIDIA Full Conference Fee Grant]
Participant of Spring School on Mixed Integer Nonlinear Optimization and Applications, Tilburg University, March 10-13, 2015 [Full Travel Grant]
FOUNDER SCHOLARSHIP NRW
For innovative ideas. Monthly stipend for 1 year.
The NRW start-up grant gives you the opportunity to get your innovative business idea off the ground and to enter the start-up scene in your region. The Ministry of Economic Affairs, Innovation, Digitalization and Energy of the State of North Rhine-Westphalia supports every founder who is about to start up or is just starting out with a monthly stipend to facilitate the start in the world of entrepreneurs. In addition, you will have the opportunity to exchange ideas in start-up networks and be accompanied by individual coaching.
International Projects I worked on
RoKoRa
Secure human-robot collaboration using high-resolution radars
In the RoKoRa project, the aim is to exclude hazards of humans by robots. For this purpose, compact radar systems are used. They offer many advantages: radars operate independently of any lighting and are largely insensitive to environmental conditions. In addition, radar sensors can measure not only the distance to the sensor, but also the motion vector of the detected targets. The sensor system to be developed significantly improves personnel safety in human-robot collaboration, resulting in new degrees of freedom for a safe cooperation with larger robots and at higher distance-dependent execution speeds. In the project, SCAI develops a software component for environmental perception for situational analysis and decision-making using methods of machine learning.
Project duration: 1.7.2017 – 30.6.2020
WAVE
Simulation and inversion of wave fields
The aim of the project WAVE is to develop a toolbox that provides methods for the simulation and inversion of wave fields on high performance architectures. WAVE is funded by the BMBF (German National Ministry of Education and Research). Wave propagation plays an important role in many applications. In geophysical exploration, seismic and electromagnetic waves make geological layers and reservoirs visible. Seismology uses wave simulation to predict and estimate possible damages of earthquakes in high risk regions. Simulation models based on the theory of harmonic wave propagation are also used for the identification of tumors, for the localization of defects in materials, reducing the acoustic noise in a vehicle, or for the protection of places from electro-magnetic radiation.
Project duration:1.2.2016 – 31.6.2019
FAST
Find a Suitable Topology for exascale Applications
The project FAST funded by the BMBF will improve the initial job distribution of a scheduler and the re-scheduling on the basis of key performance indicators. From the perspective of a data center operator, it is uneconomical if not all components of a computer can be used by a running program and, in the worst case, still consume power. In the BMBF-funded project FAST, both the initial job distribution of a scheduler (system for distributing computing resources) and the re-scheduling based on key performance indicators (KPI) are to be improved. Rescheduling is the fine-tuning of schedules (a kind of time schedule) by migrating jobs between neighboring cluster nodes. The goal is to achieve a balanced distribution of the load and avoid any resource bottlenecks in the system by introducing scheduling phases.
Project duration: 1.1.2014 – 31.12.2016
MACH
The project MACH funded by the BMBF deals with the research for and development of concepts for the application of DSLs for the improvement of development and maintainability of computationally intensive algorithms on a multitude of hardware sytems.
Project duration: 1.11.2013 – 31.10.2016
ENHANCE
Enabling heterogeneous hardware acceleration using novel programming and scheduling models
The project aims for a better integration and simplified usage of heterogeneous computing resources within current and upcoming computing systems. Today, even personal computers may be used to solve medium-sized scientific computing problems in a cost-effective and energy-efficient way without accessing large and expensive super computing systems. SCAI develops methods for code analysis and automatic parallelization that enable the developer to exploit the maximum potential of a given hardware. The compiler plug-in PLUTO-SICA developed by SCAI includes, among other things, the automatic conversion of algorithmic code structures into those that work in parallel or vectorized mode and guarantee optimal memory access. The PLUTO-SICA development is funded by the BMBF in the ENHANCE project and is available as an optimization plug-in for the next release of the LLVM Compiler Suite.
Project duration: 1.11.2011 – 31.12.2013
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