Dr.-Ing. habil. Maha Shadaydeh
Maha Shadaydeh
Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Germany
Phone: +49 (0) 3641 9 46428
E-mail: maha (dot) shadaydeh (at) uni-jena (dot) de
Room: 1221
Links: GoogleScholar
Curriculum Vitae
2019 – 2022 Team Leader: “Event Detection and Causal Reasoning”
Computer Vision Group, Friedrich Schiller University Jena
since 2017 Scientific Associate
Computer Vision Group, Friedrich Schiller University Jena
2012 – 2017 Research Fellow
Machine Perception Research Laboratory, Institute for Computer Science and Control,
Hungarian Academy of Sciences
2008 – 2012 Associate Professor
Electronic Engineering Department, Damascus University
Theses
Ph.D. “Analysis of Dynamical Behavior of 2-D Adaptive Digital Filters”
Electrical Communications Engineering, Tohoku University, Japan
M. Sc. “Identification of Non-Minimum Phase FIR Systems using Higher-Order Statistics and Genetic Algorithm”
Information and Computer Sciences, Toyohashi University of Technology, Japan
Projects
Ongoing
Former
Publications
2024
Gideon Stein, Jonas Ziemer, Carolin Wicker, Jannik Jaenichen, Gabriele Demisch, Daniel Kloepper, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois:
Data-driven Prediction of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling.
IEEE International Geoscience and Remote Sensing Symposium. 2024. (accepted)
[bibtex] [pdf]
Gideon Stein, Maha Shadaydeh, Joachim Denzler:
Embracing the Black Box: Heading Towards Foundation Models for Causal Discovery from Time Series Data.
AAAI Workshop on AI for Time-series (AAAI-WS). 2024.
[bibtex] [pdf] [web] [abstract]
Gideon Stein, Sai Karthikeya Vemuri, Yuanyuan Huang, Anne Ebeling, Nico Eisenhauer, Maha Shadaydeh, Joachim Denzler:
Investigating the Effects of Plant Diversity on Soil Thermal Diffusivity Using Physics- Informed Neural Networks.
ICLR Workshop on AI4DifferentialEquations In Science (ICLR-WS). 2024.
[bibtex] [pdf] [web]
Maha Shadaydeh, Joachim Denzler, Mirco Migliavacca:
Physics Informed Modeling of Ecosystem Respiration via Dynamic Mode Decomposition with Control Input.
ICLR Workshop on Machine Learning for Remote Sensing (ICLR-WS). 2024.
[bibtex] [web] [abstract]
Nico Eisenhauer, Karin Frank, Alexandra Weigelt, Bartosz Bartkowski, Rémy Beugnon, Katja Liebal, Miguel Mahecha, Martin Quaas, Djamil Al-Halbouni, Ana Bastos, Friedrich J. Bohn, Mariana Madruga de Brito, Joachim Denzler, Hannes Feilhauer, Rico Fischer, Immo Fritsche, Claudia Guimaraes-Steinicke, Martin Hänsel, Daniel B. M. Haun, Hartmut Herrmann, Andreas Huth, Heike Kalesse-Los, Michael Koetter, Nina Kolleck, Melanie Krause, Marlene Kretschmer, Pedro J. Leitão, Torsten Masson, Karin Mora, Birgit Müller, Jian Peng, Mira L. Pöhlker, Leonie Ratzke, Markus Reichstein, Solveig Richter, Nadja Rüger, Beatriz Sánchez-Parra, Maha Shadaydeh, Sebastian Sippel, Ina Tegen, Daniela Thrän, Josefine Umlauft, Manfred Wendisch, Kevin Wolf, Christian Wirth, Hannes Zacher, Sönke Zaehle, Johannes Quaas:
A Belowground Perspective on the Nexus Between Biodiversity Change, Climate Change, and Human Well-being.
Journal of Sustainable Agriculture and Environment. 3 (2) : pp. e212108. 2024.
[bibtex] [web] [doi] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Deep Learning-based Group Causal Inference in Multivariate Time-series.
AAAI Workshop on AI for Time-series (AAAI-WS). 2024.
[bibtex] [pdf] [web] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Regime Identification for Improving Causal Analysis in Non-stationary Timeseries.
arXiv preprint arXiv:2405.02315. 2024.
[bibtex] [pdf] [web] [abstract]
Wasim Ahmad, Valentin Kasburg, Nina Kukowski, Maha Shadaydeh, Joachim Denzler:
Deep-Learning Based Causal Inference: A Feasibility Study Based on Three Years of Tectonic-Climate Data From Moxa Geodynamic Observatory.
Earth and Space Science. 2024. (accepted)
[bibtex] [abstract]
2023
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). 2023.
[bibtex] [pdf] [code] [supplementary] [abstract]
Yuanyuan Huang, Gideon Stein, Olaf Kolle, Karl Kuebler, Ernst-Detlef Schulze, Hui Dong, David Eichenberg, Gerd Gleixner, Anke Hildebrandt, Markus Lange, Christiane Roscher, Holger Schielzeth, Bernhard Schmid, Alexandra Weigelt, Wolfgang W. Weisser, Maha Shadaydeh, Joachim Denzler, Anne Ebeling, Nico Eisenhauer:
Enhanced Stability of Grassland Soil Temperature by Plant Diversity.
Nature Geoscience. pp. 1-7. 2023.
[bibtex] [doi] [abstract]
Yuanyuan Huang, Gideon Stein, Olaf Kolle, Karl Kuebler, Ernst-Detlef Schulze, Hui Dong, David Eichenberg, Gerd Gleixner, Anke Hildebrandt, Markus Lange, Christiane Roscher, Holger Schielzeth, Bernhard Schmid, Alexandra Weigelt, Wolfgang W. Weisser, Maha Shadaydeh, Joachim Denzler, Anne Ebeling, Nico Eisenhauer:
Plant Diversity Stabilizes Soil Temperature.
bioRxiv. pp. 2023-03. 2023.
[bibtex] [pdf]
2022
Cem Doǧdu, Thomas Kessler, Dana Schneider, Maha Shadaydeh, Stefan R. Schweinberger:
A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech.
Sensors. 22 (19) : 2022.
[bibtex] [web] [doi] [abstract]
Clemence Dubois, Jannik Jänichen, Maha Shadaydeh, Gideon Stein, Alexandra Katz, Daniel Klöpper, Joachim Denzler, Christiane Schmullius, Katja Last:
KI4KI: Neues Projekt zur regelmässigen Überwachung von Stauanlagen aus dem All.
Messtechnische Überwachung von Stauanlagen ; XII.Mittweidaer Talsperrentag. Pages 15-19. 2022.
[bibtex] [web] [doi] [abstract]
Maha Shadaydeh, Joachim Denzler, Mirco Migliavacca:
Partitioning of Net Ecosystem Exchange Using Dynamic Mode Decomposition and Time Delay Embedding.
Engineering Proceedings. 18 (1) : 2022.
[bibtex] [web] [doi] [abstract]
Sven Festag, Gideon Stein, Tim Büchner, Maha Shadaydeh, Joachim Denzler, Cord Spreckelsen:
Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach.
Computing in Cardiology (CinC). Pages 1-4. 2022.
[bibtex] [pdf] [doi] [abstract]
Violeta Teodora Trifunov, Maha Shadaydeh, Joachim Denzler:
Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding.
arXiv preprint arXiv:2209.11497. 2022.
[bibtex] [web] [doi] [abstract]
Violeta Teodora Trifunov, Maha Shadaydeh, Joachim Denzler:
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions.
NeurIPS Workshop on A Causal View on Dynamical Systems (NeurIPS-WS). 2022.
[bibtex] [pdf] [web] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Discovery using Model Invariance through Knockoff Interventions.
ICML Workshop on Spurious Correlations, Invariance and Stability (ICML-WS). 2022.
[bibtex] [pdf] [web] [abstract]
2021
Maha Shadaydeh, Lea Müller, Dana Schneider, Martin Thümmel, Thomas Kessler, Joachim Denzler:
Analyzing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study.
IEEE Access. 9 : pp. 73780-73790. 2021.
[bibtex] [pdf] [web] [doi] [presentation] [abstract]
Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs.
arXiv preprint arXiv:2102.00951. 2021.
[bibtex] [pdf] [web] [abstract]
Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning.
IEEE International Conference on Machine Learning and Applications (ICMLA). Pages 166-172. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Markus Reichstein, Joachim Denzler:
A Data-Driven Approach to Partitioning Net Ecosystem Exchange Using a Deep State Space Model.
IEEE Access. 9 : pp. 107873-107883. 2021.
[bibtex] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals.
IEEE International Conference on Machine Learning and Applications (ICMLA). Pages 449-454. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
2020
Maha Shadaydeh, Yanira Guanche Garcia, Miguel Mahecha, Joachim Denzler:
Understanding Changes in Environmental Time Series with Time-frequency Causality Analysis.
European Geosciences Union General Assembly (EGU): Abstract + Poster Presentation. 2020.
[bibtex] [pdf] [web] [abstract]
Sheeba Samuel, Maha M Month = February fShadaydeh, Sebastian Böcker, Bernd Brügmann, Solveig F. Bucher, Volker Deckert, Joachim Denzler, Peter Dittrich, Ferdinand von Eggeling, Daniel Güllmar, Orlando Guntinas-Lichius, Birgitta König-Ries, Frank Löffler, Lutz Maicher, Manja Marz, Mirco Migliavacca, Jürgen R. Reichenbach, Markus Reichstein, Christine Römermann, Andrea Wittig:
A Virtual "Werkstatt" for Digitization in the Sciences.
Research Ideas and Outcomes. 6 : pp. e54106. 2020.
[bibtex] [web] [doi] [abstract]
2019
Furrukh Sana, Tarig Ballal, Maha Shadaydeh, Ibrahim Hoteit, Tareq Y. Al-Naffouri:
Fetal ECG extraction exploiting joint sparse supports in a dual dictionary framework.
Biomedical Signal Processing and Control. 48 : pp. 46-60. 2019.
[bibtex] [pdf] [web] [doi] [abstract]
Lea Müller, Maha Shadaydeh, Martin Thümmel, Thomas Kessler, Dana Schneider, Joachim Denzler:
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 490-497. 2019.
[bibtex] [pdf] [web] [doi] [abstract]
Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel Mahecha:
Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 499-512. 2019.
[bibtex] [pdf] [doi] [abstract]
Stefan Hoffmann, Clemens-Alexander Brust, Maha Shadaydeh, Joachim Denzler:
Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks.
International Geoscience and Remote Sensing Symposium (IGARSS). Pages 5152-5155. 2019.
[bibtex] [pdf] [doi] [abstract]
Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler:
Causal Link Estimation under Hidden Confounding in Ecological Time Series.
International Workshop on Climate Informatics (CI). 2019.
[bibtex] [pdf] [abstract]
Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler:
Nonlinear Causal Link Estimation under Hidden Confounding with an Application to Time-Series Anomaly Detection.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 261-273. 2019.
[bibtex] [pdf] [abstract]
Yanira Guanche, Maha Shadaydeh, Miguel Mahecha, Joachim Denzler:
Attribution of Multivariate Extreme Events.
International Workshop on Climate Informatics (CI). 2019.
[bibtex] [pdf] [abstract]
2018
Maha Shadaydeh, Yanira Guanche Garcia, Joachim Denzler:
Classification of Spatiotemporal Marine Climate Patterns using Wavelet Coherence and Markov Random Field.
American Geophysical Union Fall Meeting (AGU): Abstract + Oral Presentation. 2018.
[bibtex] [web] [abstract]
Maha Shadaydeh, Yanira Guanche Garcia, Miguel Mahecha, Markus Reichstein, Joachim Denzler:
Analyzing the Time Variant Causality in Ecological Time Series: A Time-Frequency Approach.
International Conference on Ecological Informatics (ICEI). Pages 151-152. 2018.
[bibtex] [abstract]
Maha Shadaydeh, Yanira Guanche Garcia, Miguel Mahecha, Markus Reichstein, Joachim Denzler:
Causality analysis of ecological time series: a time-frequency approach.
International Workshop on Climate Informatics (CI). 2018.
[bibtex] [pdf]
Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler:
Domain knowledge integration for causality analysis of carbon-cycle variables.
American Geophysical Union Fall Meeting (AGU): Abstract + Poster Presentation. 2018.
[bibtex] [web] [abstract]
Yanira Guanche Garcia, Maha Shadaydeh, Miguel Mahecha, Joachim Denzler:
Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model.
Natural Hazards. pp. 1-19. 2018.
[bibtex] [pdf] [web] [doi] [abstract]
Yanira Guanche Garcia, Maha Shadaydeh, Miguel Mahecha, Markus Reichstein, Joachim Denzler:
BACI: Towards a Biosphere Atmosphere Change Index - Detection of Extreme Events in the Biosphere.
BigSkyEarth Conference: AstroGeoInformatics. 2018.
[bibtex] [pdf] [web] [doi]
2017
Maha Shadaydeh, Andras Zlinszky, Andrea Manno-Kovacs, Tamas Sziranyi:
Wetland mapping by fusion of airborne laser scanning and multi-temporal multispectral satellite imagery.
International Journal of Remote Sensing. 38 (23) : pp. 7422-7440. 2017.
[bibtex] [pdf] [web] [doi] [abstract]
Muzammil Behzad, Mudassir Masood, Tarig Ballal, Maha Shadaydeh, Tareq. Y. Al-Naffouri:
Image denoising via collaborative support-agnostic recovery.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Pages 1343-1347. 2017.
[bibtex] [web] [doi] [abstract]
Yanira Guanche, Maha Shadaydeh, Miguel Mahecha, Joachim Denzler:
Biosphere Anomalies Detection by Regression Models.
Conference on Advances in Extreme Value Analysis and Application to Natural Hazards (EVAN). 2017.
[bibtex] [pdf]
2015
Csaba Benedek, Maha Shadaydeh, Zoltan Kato, Tamas Sziranyi, Josiane Zerubia:
Multilayer Markov Random Field models for change detection in optical remote sensing images.
ISPRS Journal of Photogrammetry and Remote Sensing. 107 : pp. 22-37. 2015.
[bibtex] [pdf] [web] [doi] [abstract]
Maha Shadaydeh, Andrea Manno-Kovacs, Tamas Sziranyi:
Change Detection in Wetlands using Multi-layer Fusion Markov Random Field.
What can Remote Sensing do for the Conservation of Wetlands? - 1st International Symposium. 2015.
[bibtex]
Maha Shadaydeh, Tamas Sziranyi:
An improved mutual information similarity measure for registration of multi-modal remote sensing images.
Proc. SPIE Remote Sensing. 9643 : pp. 9643 - 9643 - 7. 2015.
[bibtex] [web] [doi] [abstract]
2014
Maha Shadaydeh, Tamas Sziranyi:
An improved local similarity measure estimation for change detection in remote sensing images.
International Conference on Aerospace Electronics and Remote Sensing Technology. Pages 234-238. 2014.
[bibtex] [web] [abstract]
Tamas Sziranyi, Maha Shadaydeh:
Segmentation of Remote Sensing Images Using Similarity-Measure-Based Fusion-MRF Model.
IEEE Geoscience and Remote Sensing Letters. 11 (9) : pp. 1544-1548. 2014.
[bibtex] [pdf] [web] [doi] [abstract]
2013
Tamas Sziranyi, Maha Shadaydeh:
Improved segmentation of a series of remote sensing images by using a fusion MRF model.
International Workshop on Content-Based Multimedia Indexing (CBMI). Pages 137-142. 2013.
[bibtex] [web] [doi] [abstract]
2008
Maha Shadaydeh, Yegui Xiao, Rabab K. Ward:
Extraction of fetal ECG using adaptive Volterra filters.
European Signal Processing Conference. Pages 1-5. 2008.
[bibtex] [pdf] [web] [abstract]
Yegui Xiao, Maha Shadaydeh, Rabab K. Ward:
New narrowband active noise control systems with significantly less computational requirements.
IEEE International Symposium on Circuits and Systems. Pages 41-44. 2008.
[bibtex] [web] [doi] [abstract]
2003
Maha Shadaydeh, Masayuki Kawamata:
Performance analysis of adaptive IIR notch filters based on least mean p-power error criterion.
International Symposium on Circuits and Systems (ISCAS). Pages 377-380. 2003.
[bibtex] [pdf] [web] [doi]
2002
Maha Shadaydeh, Yegui Xiao, Masayuki Kawawata:
Steady StateAnalysis of the P-Power Algorithm for Constrained Adaptive IIR Notch Filter.
IEEE Midwest Symposium on Circuits and Systems (MWSCAS). Pages 664-667. 2002.
[bibtex] [abstract]
1999
Maha Shadaydeh:
Dynamical Behaviour Analysis of 2-D Adaptive digital Filters.
1999. PhD Thesis
[bibtex] [pdf]
Maha Shadaydeh, Masayuki Kawamata:
Bias Removal Algorithm for 2-D Equation Error Adaptive IIR Filters.
Multidimensional Systems and Signal Processing. 10 (4) : pp. 429-441. 1999.
[bibtex] [pdf] [web] [doi] [abstract]
1998
Maha Shadaydeh, Masayuki Kawamata:
Steady State Analysis of Two-Dimensional LMS Adaptive Filters Using the Independence Assumption.
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E82-A (3) : 1998.
[bibtex] [pdf]
Maha Shadaydeh, Masayuki Kawawata:
Convergence Analysis of 2-D Doubly-Indexed Block LMS Adaptive Filters.
IEEE International Workshop on Intelligent Signal Processing and Communication Systems. 1998.
[bibtex]
1997
Maha Shadaydeh, Yegui Xiao, Yoshiaki Tadokoro:
Identification of nonminimum phase FIR systems via fourth-order cumulants and genetic algorithm.
Signal Processing. 60 (3) : pp. 339-347. 1997.
[bibtex] [pdf] [web] [doi] [abstract]
1996
Yegui Xiao, Maha Shadaydeh, Yoshiaki Tadokoro:
Overdetermined C(q,k) formula using third and fourth order cumulants.
Electronics Letters. 32 (6) : pp. 601-603. 1996.
[bibtex] [web] [doi] [abstract]