Jürgen Hahn

Jürgen Hahn

Former Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt. (This page is no longer maintained. Last update: 12/2016)

Merckstraße 25
64283 Darmstadt

Office: S3|06 250

+49 6151 16-21348
+49 6151 16-21342

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Jürgen Hahn received his B.Sc. and M.Sc. in computer engineering (“Informationssystemtechnik”) from Technische Universität Darmstadt in October 2009 and August 2011, respectively. His bachelor thesis was titled “Segmentation, Feature Extraction and Classification in Through-the-Wall Radar Imaging”. In his master thesis, he investigated different methods to adapt compressive sensing techniques to hyperspectral imaging. His master thesis has been awarded with the ISRA Machine Vision prize, founded by Technische Universität Darmstadt and ISRA VISION AG. He is also recipient of the IEEE GRSS 2013 Data Fusion – Best classification award.

In October 2011 Jürgen commenced work on his Ph.D. in the Signal Processing Group on Learning Feature Representations with Applications to Hyperspectral Imaging and Decision Making.

Completed Student Theses

Vineet Kumar Band Selection in Hyperspectral Imaging Master thesis 04/2013
Thomas Kübert Image Inpainting Proseminar 04/2013
Tobias Striffler Object Categorization using
Co-Occurrence, Location and
Proseminar 05/2013
Simon Rosenkranz Compressed Classification in Hyperspectral Imaging Master thesis 06/2013
Platini Rodrigue Ngankam
(joint supervision with Marco Moebus, Adam Opel AG, Rüsselsheim)
Longitudinal Position Correction for Vehicles by Fusing Global Navigation Satellite System and Object Data Master thesis 06/2013
Saad Azam
(joint supervision with Xuebing Zhou, CASED, Darmstadt)
Facial Landmark Detection using Active Appearance Model Master thesis 10/2013
Jiao Du A Probabilistic Framework for the Super-resolution Reconstruction of Hyperspectral Images Master thesis 06/2014
Sergey Sukhanov
(joint supervision with Christian Debes, AGT International, Darmstadt)
Data Fusion for Person Verification and Imbalanced Classes Master thesis 10/2014
Alexander Zorn Hierarchical Reinforcement Learning for Advanced Driver Assistance Systems Master thesis 02/2015
Mateesh Bhave
(joint supervision with Adrian Šošić)
Learning Class Uncertainties with Artificial Neural Networks Master thesis 03/2015
Lisa Hesse Learning Driver Behavior for
Longitudinal Motion using Inverse Reinforcement Learning
Master thesis 06/2015
Julian Baals Decision Making using Markov Decision Processes Project seminar 07/2015
Frederic Fießer Feature Learning for Decision Making Proseminar 03/2016
Patrick Wenzel
(joint supervision with Michael Leigsnering, AGT International, Darmstadt)
Deep Neural Networks for
Activity Recognition Using
Wearable Sensors
Master Thesis 08/2016


Digital Signal Processing (2014/2015)

Digital Signal Processing (2013/2014)

Advances in Digital Signal Processing: Imaging and Image Processing (2013)

Advances in Digital Signal Processing: Imaging and Image Processing (2012)


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Number of items: 11.


Hahn, Jürgen (2017):
Learning Low-Dimensional Representations With Application to Classification and Decision-Making.
Darmstadt, Technische Universität, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/5953],
[PhD thesis]


Hahn, J. ; Zoubir, A. M. (2016):
Risk-Sensitive Decision Making via Constrained Expected Returns.
In: Proc. 41st IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), [Conference item]

Hahn, J. ; Zoubir, A. M. (2016):
Bayesian Nonparametric Feature and Policy Learning for Decision-Making.
In: Pattern Recognition (under review), [Article]

Hahn, J. ; Zoubir, A. M. (2016):
Bayesian Nonparametric Unmixing of Hyperspectral Images.
In: IEEE Transactions on Geoscience and Remote Sensing (TGRS) (under review), 54[Article]


Hahn, J. ; Zoubir, A. M. (2015):
Inverse Reinforcement Learning Using Expectation Maximization In Mixture Models.
In: Proc. 40th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), S. 3721-3725, [Conference item]


Debes, C. ; Merentitis, A. ; Heremans, R. ; Hahn, J. ; Frangiadakis, N. ; van Kasteren, T. ; Liao, W. ; Bellens, R. ; Pizurica, A. ; Gautama, S. ; Philips, W. ; Prasad, S. ; Du, Q. ; Pacifici, F. (2014):
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest.
In: IEEE J. Sel. Topics Appl. Earth Observ., 7 (6), S. 2405-2418, [Article]

Hahn, J. ; Rosenkranz, S. ; Zoubir, A. M. (2014):
Adaptive Compressed Classification for Hyperspectral Imagery.
Florence, Italy, In: Proc. 39th IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), S. 1020-1024, [Conference item]

Hahn, J. ; Debes, C. ; Leigsnering, M. ; Zoubir, A. M. (2014):
Compressive Sensing and Adaptive Direct Sampling in Hyperspectral Imaging.
In: Digital Signal Processing, 26 (3), S. 113-126, [Article]


Kumar, V. ; Hahn, J. ; Zoubir, A. M. (2013):
Band Selection for Hyperspectral Images Based on Self-Tuning Spectral Clustering.
Marrakech, Morocco , In: Proc. 21st European Signal Processing Conf. (EUSIPCO), S. 1-5, [Conference item]


Debes, C. ; Hahn, J. ; Zoubir, A. M. ; Amin, M. G. (2011):
Target Discrimination and Classification in Through-the-Wall Radar Imaging.
In: IEEE Trans. on Signal Processing, 59 (10), S. 4664 -4676, [Article]


Debes, C. ; Hahn, J. ; Zoubir, A. M. ; Amin, M. G. (2010):
Feature Extraction in Through-the-Wall Radar Imaging.
Dallas, TX, USA, In: Proc. 35th IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), S. 3562-3565, [Conference item]

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