Jakob Ackeret Prize Award

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Jakob Ackeret Preis 2023
Dr. Alexander Rusch TrackAER: "Volumetric Event-Based Particle Tracking Velocimetry in Real-Time"
Dr.  Julian Hummel "Self-guided Machine Learning Algorithm for Real-Time Assimilation, Interpolation and Rendering of Aerodynamic Measurements"

The SWISS ASSOCIATION OF AERONAUTICAL SCIENCES periodically awards the Jakob Ackeret Prize for the promotion of young scientists in Swiss aviation and thus recognizes outstanding achievements by young students or scientific staff who are fascinated by aviation.
students or research assistants who are fascinated by aviation. The prize is aimed at students at ETHs, universities, colleges and universities of applied sciences as well as scientific staff in academia and industry who are under the age of 30. The prize is awarded for outstanding work related to Swiss aviation. This can be student work (semester, bachelor or master theses), dissertations or unclassified research work from academia and industry.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 08 Nov 2023
  • Time: 05:30 PM UTC to 08:30 PM UTC
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  • ETH Zürich
  • Zurich, Switzerland
  • Switzerland 8000
  • Building: Maschinenlabor
  • Room Number: ML H 44
  • Contact Event Hosts
  • Co-sponsored by SWISS ASSOCIATION OF AERONAUTICAL SCIENCES

  Speakers

Rusch

Topic:

Volumetric Event-Based Particle Tracking

A comprehensive Particle Tracking Velocimetry (PTV) measurement system that covers the aforementioned points and thus makes previously inaccessible territories in the world of fluid dynamic measurement technology accessible. The use of several hard-synchronized and photogrammetrically calibrated event cameras in combination with a specially developed, asynchronous software solution enables the real-time reconstruction and visualization of tracer particles in flows.

Hummel

Topic:

Self-guided Machine Learning Algorithm for Real- Time Assimilation, Interpolation and Rendering of Aerodynamic Measureme

"Human-machine teaming" makes it possible to combine the strengths and capabilities of both sectors for flow visualization and thus complete tasks faster, more precisely and more efficiently. The system presented here is a further step in this direction and the first of its kind in the field of flow measurement technology. It combines a human-guided probe with parallel-running algorithms (artificial intelligence).





Agenda

- Introduction and appreciation
- Presentations of the work
- Questions
- Aperitif