Aylin Tastan

Aylin Tastan

Aylin Tastan

Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt

Merckstraße 25
64283 Darmstadt

Office: S3|06 252

+49 6151 16-21350
+49 6151 16-21342


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Aylin Tastan received the B. Eng. and M. Eng. degrees both in Electrical and Electronic Engineering from Gazi University, in 2016 and 2018, respectively. During October 2017 to April 2018, she was a research assistant at Baskent University Electrical and Electronics Engineering Department. Her master thesis was concerned with fetal sensitivity to maternal voice using Doppler ultrasound signals.

In April, 2019, she joined the Signal Processing Group at Technische Universität Darmstadt and commenced working on her PhD. Her research interests include statistical signal processing, biometrics for biomedical purposes and applications for biomedicine.

In September 2020 Aylin Tastan received the Best Student Paper Award at the 2020 IEEE Radar Conference for her paper “An Unsupervised Approach for Graph-based Robust Clustering of Human Gait Signatures”

Publications

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Jump to: 2021 | 2020 | 2018
Number of items: 6.

2021

Taştan, A. ; Muma, M. ; Zoubir, A. M. (2021):
Sparsity-aware Robust Community Detection (SPARCODE).
In: Signal Processing, Elsevier B.V., ISSN 0165-1684,
DOI: 10.1016/j.sigpro.2021.108147,
[Article]

Taştan, A. ; Muma, M. ; Zoubir, A. M. (2021):
Robust Spectral Clustering: A Locality Preserving Feature Mapping Based on M-estimation.
n.A., IEEE, The 29th European Signal Processing Conference (EUSIPCO), Dublin, virtual, 23-27 August 2021, [Conference item]

Taştan, A. ; Muma, M. ; Zoubir, A. M. (2021):
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation.
In: IEEE Transactions on Knowledge and Data Engineering (submitted), [Article]

2020

Taştan, A. ; Muma, M. ; Zoubir, A. M. (2020):
An Unsupervised Approach for Graph-based Robust Clustering of Human Gait Signatures.
2020 IEEE Radar Conference, virtual Conference, 21.-25.09., [Conference item]

2018

Taştan, A. ; Kavak, S. B. ; Hardalaç, N. (2018):
Fetal Reactions to Musical Sounds in Different Characters.
Lambert Academic Publishing (LAP), [Book]

Taştan, A. ; Hardalaç, N. ; Kavak, S. B. ; Hardalaç, F. (2018):
Detection of Fetal Reactions to Maternal Voice Using Doppler Ultrasound Signals.
S. 1-6, 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), [Conference item]

This list was generated on Mon Oct 18 16:22:12 2021 CEST.