Agenda
Signal Processing Seminar
- Thursday, 4 October 2018
- 13:30-14:30
- HB 17.150
Machine learning in physical sciences
Peter GerstoftUC San Diego
Machine learning (ML) is booming thanks to efforts promoted by Google. However, ML also has use in physical sciences. I start with a general overview of ML for supervised/unsupervised learning. Then I will focus on my applications of ML in array processing in seismology and ocean acoustics. This will include source localization using neural networks or graph processing. Final example is using ML-based tomography to obtain high-resolution subsurface geophysical structure in Long Beach, CA, from seismic noise recorded on a 5200-element array. This method exploits the dense sampling obtained by ambient noise processing on large arrays by learning a dictionary of local, or small-scale, geophysical features directly from the data.
Additional information ...Agenda
- Thu, 25 Apr 2024
- 15:30
- EEMCS, Snijderszaal
Microelectronics colloquium
Achilleas Savva
Regenerative Bioelectronic Technologies - #ReBooT
'Regenerative Bioelectronics' merges insights from two distinct research domains: stem cell-based regenerative medicine and bioelectronic engineering. The great therapeutic potential of stem cells to give solutions to untreated neurological disorders, has recently been verified by clinical trials in human
- Mon, 6 May 2024
- 12:30
- Aula Senaatszaal
PhD Thesis Defence
Christoph Manss
Multi-agent exploration under sparsity constraints
- Tue, 21 May 2024
- 10:00
- Aula Senaatszaal
PhD Thesis Defence
Wangyang Yu
- 27 -- 28 May 2024
- Aula, TU Delft
Conferences
44th Benelux Symposium on Information Theory and Signal Processing (SITB'24, Delft)
- Tue, 18 Jun 2024
- 15:00
- Aula Senaatszaal
PhD Thesis Defence
Hanie Moghaddasi
Model-based feature engineering of atrial fibrillation
- Mon, 24 Jun 2024
- Aula, TU Delft
Conferences
7th Graph Signal Processing Workshop (GSP 2024)
- Wed, 10 Jul 2024
- 10:00
- Aula Senaatszaal