Digit@LTH: Events
Modern Optimization and Machine Learning in Acoustics, EM, Radar, and Sonar II
Konferens
From:
2021-11-23 09:00
to
17:00
Place: Hybrid online and/or Lund Sweden
Contact: christer [dot] larsson [at] eit [dot] lth [dot] se
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A Hybrid Workshop on Applications and Methods in Acoustics, EM, Radar, and Sonar. There is still time to register for participation via Zoom.
This hybrid workshop is organised in cooperation between Lund University and Saab. The aim is to provide the participants with a venue to discuss and learn about theory and applications of Modern Optimisation and Machine Learning. The hybrid format means that you can choose if you participate via Zoom or, if the restrictions in November allow that, participate in person.
The focus is on practical problems and the choice of methods. Presentations will be held by researchers from academia and the industry. Active participation with a 20-minute presentation is encouraged.
When: 23 November 2021, 09.00 - 17:00
Where: Online on the zoom platform. Unfortunately, we cannot accommodate more attendees on site due to high attendance.
Keynote speaker
Professor Yonina Eldar, Weizmann Institute of Science in Rehovot, Israel
on Deep Analog-to-Digital Compression with Applications to Automotive Radar and Massive MIMO
Topics of Interest
- Inverse Problems, Optimization, Compressive Sensing, and Machine Learning
- Applications in Acoustics, Electromagnetics, Radar, Sonar, and Wave Propagation
Presentations
- Deep Analog-to-Digital Compression with Applications to Automotive Radar and Massive MIMO (Keynote)
Professor Yonina Eldar, Weizmann Institute of Science in Rehovot, Israel - Short-time least-squares spectral analysis of pass-by noise in water from a rigid inflatable boat
Anders Lindberg, Saab, Sweden - A Supervised Learning Framework for Joint Angle-of-Arrival and Source Number Estimation
Noud Kanters, University of Twente, Netherlands - Measurement and modeling of VSAT Antenna Radiation Patterns using QuadCopter UAV
Muhammad Owais and Diana Trifon, QuadSAT, Denmark - Deep learning based dictionary learning and tomographic image reconstruction
Ozan Öktem, Royal Technical Institute, Sweden - Optimization of Electromagnetic Structures
Mats Gustafsson, Lund University, Sweden - MoM-Based Memetics for Inverse Design
Miloslav Čapek, Czech technical university in Prague, Czechia - Antenna Design Optimization Using Machine Learning
CJ Reddy, Altair, USA - Interpolation Methods for SAR Backprojection at THz Frequencies
Yevhen Ivanenko, Blekinge Institute of Technology, Sweden - Receiver-Sender Node Calibration for Sound and Radio
Kalle Åström, Lund University, Sweden - Quantum-Assisted Combinatorial Optimization of Reconfigurable Intelligent Surfaces
Zhen Peng, University of Illinois at Urbana Champaign, USA