Statistical Signal Processing Professors and Supervisors in Austria

Zhu Xiaoxiangمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Xiaoxiang Zhu is a Full Professor for Data Science in Earth Observation at Technical University of Munich (TUM) and Director of the International AI Future Lab (AI4EO). She leads interdisciplinary research on signal processing and machine learning applied to Earth observation (EO) data, addressing global challenges like urbanization and climate change. Her work focuses on extracting geoinformation from big EO datasets using innovative AI techniques. Education & Positions: Professor (W3) since 2019, TUM Former Head of EO Data Science Department at German Aerospace Center (DLR) Adjunct Teaching Professor (2013–2015) Research Interests: Deep learning in SAR and multispectral imagery Global urban morphology mapping Uncertainty quantification in AI models EO data fusion and big data analytics Climate change monitoring via satellite data Articles Trends: Her publications emphasize AI-driven solutions for EO challenges, including SAR tomography, benchmark datasets (e.g., So2Sat LCZ42), and uncertainty estimation in neural networks. Over 220 journal papers and 173 conference papers highlight her contributions to geosciences and remote sensing. Awards: IEEE Fellow (2021) ERC Grants (Starting & Proof of Concept) Heinz Maier-Leibnitz-Preis (2015) Member of German and Bavarian Academies of Sciences Advising & Grants: Supervised PhD students (e.g., Mou) Secured €10M+ in research funding Co-led Helmholtz AI Research Field MASTr (2019–2022) Labs & Teams: Founder of AI4EO Lab Co-leader of Munich Data Science Research School (MUDS) Member of ELLIS Society and IEEE committees

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Sergiu Hartمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Sergiu Hart is the Alice Kusiel and Kurt Vorreuter University Professor of Economics and Mathematics at The Hebrew University of Jerusalem. He holds dual professorships and has held academic positions at Stanford University, Tel Aviv University, and Harvard University as a visiting scholar. Since 1991, he has been pivotal in establishing and leading the Center for the Study of Rationality, a multidisciplinary research center at Hebrew University. His academic career spans over four decades, with roles including Founding Director (1991–1998), Chair of the Academic Committee (since 2008), and President of the Game Theory Society (2008–2010). Education: Ph.D. in Mathematics from Tel Aviv University (1976). Research focuses on game theory, economic theory, and their intersections with computer science, probability, and statistics. Key contributions include strategic foundations of cooperation, repeated games, adaptive dynamics, and risk measurement frameworks. His work bridges theoretical insights with applications in fair distribution, economic competition, and bounded rationality. Notable awards include the Rothschild Prize (1998), election to the American Academy of Arts and Sciences (2016), and fellowships from the Econometric Society (1985) and Israel Academy of Sciences (2006). He has delivered prestigious lectures worldwide, such as the Walras-Bowley Lecture (2003) and the Harris Lecture (2009). His edited works include the three-volume Handbook of Game Theory with Robert J. Aumann. Leadership and grants: Secured an ERC Advanced Investigator Grant (2010–2015), chaired academic committees, and held executive roles in professional societies. His research lab, the Center for the Study of Rationality, fosters interdisciplinary collaboration across economics, mathematics, and computer science.

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Monika Dörflerمشاهده پروفایل

استاد

University of ViennaAustria

Monika Dörfler is a Professor in the Department of Mathematics at the University of Vienna. Her research focuses on applied harmonic analysis, audio signal processing, and the mathematics of machine learning. She specializes in time-frequency analysis, nonstationary Gabor frames, and deep learning applications in audio processing. Dörfler has contributed significantly to methods like the invertible constant-Q transform and has explored the intersection of convolutional neural networks with signal representation theory. Affiliations: Department of Mathematics, University of Vienna Roles: Professor, Privatdozent, Principal Investigator (PI) in grants including WWTF Hertha Firnberg and SALSA projects Teaching: Courses such as Applied Analysis and Bachelor seminar Her research interests emphasize both theoretical foundations and practical applications of signal processing techniques. Notable contributions include work on Gabor frames in deep scattering networks and orthogonal projections for dimension reduction in learning problems. Dörfler has received awards for her papers, including Best Paper Awards at ISMIR19 and DAFx-11, and has organized international conferences like SAMPTA19 and DAFx2020. Awards: Best Paper Gold (DAFx-11), ISMIR19 Award, WWTF Grant Leadership Grants: Co-PI in aMOBY (Acoustic Monitoring of Biodiversity), PI in Audio-Miner and Hertha Firnberg grant Her work addresses challenges in audio denoising, music information retrieval, and algorithmic biases in recommendation systems. Ongoing projects include "Filter them all! Gabor theory for image quality assessment" submitted to FWF in 2023.

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Christopher Hoehnمشاهده پروفایل

مدرس ارشد

Paris Lodron University of SalzburgAustria

Dr. Christopher Hoehn is a Senior Lecturer in Biological Psychology and Methodology at the Department of Psychology , University of Salzburg , where he is affiliated with the Faculty of Natural and Life Sciences. He conducts research in the Laboratory for Sleep and Consciousness Research and serves as a key member of the Methodology group. PhD in Imaging the Mind (2024), University of Salzburg M.Sc. in Psychology (2020), University of Salzburg B.Sc. in Psychology (2018), University of Salzburg Dr. Hoehn's research focuses on sleep, consciousness, memory consolidation, and EEG-based brain state analysis . His work integrates biological psychology with advanced methodological and statistical approaches. He investigates the impact of modern lifestyle factors—such as smartphone use and artificial light—on circadian rhythms and cognitive performance, employing both experimental and computational techniques. His recent publications highlight trends in neurophysiological markers of sleep-wake states , including spectral slope and Lempel-Ziv complexity, as well as the cognitive consequences of pharmacological and environmental interventions. These studies are published in high-impact journals such as Brain Communications , eNeuro , and Clocks & Sleep . Dr. Hoehn has been actively involved in teaching methodology and statistics at both the bachelor’s and master’s levels and has served in various academic roles including tutor, research associate, and PhD student at the Centre for Cognitive Neuroscience. Senior Lecturer, University of Salzburg (2024–present) PhD Student, Laboratory for Sleep and Consciousness Research (2020–2024) Research Associate (2019–2020) Tutor in Methodology and Statistics (2017–2020) He leads research projects within the Methodology group / Laboratory for Sleep and Consciousness Research , contributing to interdisciplinary efforts in cognitive neuroscience and psychological methodology.

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Mirjam Ernestusمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Mirjam Ernestus is a Professor of Psycholinguistics at the Centre for Language Studies within Radboud University's Faculty of Arts. She serves as Chair of the Editorial Board of Radboud University Press and Scientific Director of the Centre for Language Studies since 2017. Her career spans 20+ years in psycholinguistics and phonetics research. Member of Royal Netherlands Academy of Arts and Sciences Recipient of ERC Starting Grant and NWO VICI grant Specializes in speech comprehension and conversational speech Research Focus: Her work integrates psycholinguistics and phonetics to explore auditory word recognition, morphological processing, and cross-linguistic speech phenomena. She develops computational models like DIANA for speech comprehension analysis. Publication Trends: Recent studies examine exemplar-based processing differences between native/non-native speakers, phonetic-morphological interactions, speech rate dynamics, and multimodal language learning approaches. Her work frequently applies machine learning and experimental paradigms. Awards: ERC Starting Grant (2011) NWO VICI grant (2011) KNAW membership (2015) EURYI Award (2006) Leadership: She has directed major research initiatives including the gravitation project Language in Interaction and the Research Unit Spoken Morphology. Her management roles include overseeing 160+ researchers at the Centre for Language Studies.

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Roberto Vivianiمشاهده پروفایل

دانشیار

University of InnsbruckAustria

Associate Professor Roberto Viviani, PhD is affiliated with the University of Innsbruck , where he leads neuroimaging research in clinical psychology. His work focuses on bridging psychopathology with brain function networks through functional neuroimaging, genetic variation, and statistical modeling. Research Interests : Functional neuroimaging of affective processes and social cognition Genetic polymorphisms in drug-metabolizing enzymes and their neurobiological effects Pharmacogenetics in polypharmacy and affective disorders Statistical analysis of neuroimaging data Development of tools like PHATE for high-dimensional data visualization Methodological Contributions : Advocates for multimodal imaging to enhance brain structure-function characterization Active in validating neuroimaging inference through advanced analytical techniques Grants : Recipient of a NEURON-Eranet grant for studying genetic influences on brain imaging endophenotypes. Collaborations : Engages in interdisciplinary projects, including AI-driven semantic similarity assessments and clinical applications of neuroimaging in depression, borderline personality disorder, and Parkinson's disease.

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Jonas Riesمشاهده پروفایل

استاد

University of ViennaAustria

Jonas Ries is a Professor at the University of Vienna, affiliated with the Department of Structural Biology and Computational Biology. His research focuses on super-resolution microscopy, cryo-electron microscopy, and structural analysis of cellular components. Department: Structural Biology and Computational Biology Specialization: Nuclear pore complex architecture, MINFLUX nanoscopy, fluorescent labeling. His recent work includes 2025 projects on mitochondrial fission during apoptosis via SMLM and MINFLUX, and developing a cost-effective MINFLUX microscope. He collaborates internationally, with a focus on nuclear pore complexes and artificial intelligence applications in microscopy. 2024 contributions highlight advancements in 3D MINFLUX excitation, dynamic structural biology, and synaptonemal complex analysis in C. elegans. His projects often involve computational modeling and high-throughput imaging. Research Trends Recent publications emphasize super-resolution techniques (MINFLUX, SMLM), PSF inverse modeling for microscope calibration, and nuclear pore complex dynamics. Subfields include apoptosis mechanisms, clathrin coat bending, and AI-driven image analysis. Academic Engagement He participated in the Dies Academicus event at the University of Vienna in 2024, indicating active involvement in academic community activities.

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Kyrylo Simonovمشاهده پروفایل

پژوهشگر

University of ViennaAustria

Kyrylo Simonov is an active researcher at the Faculty of Mathematics, Institute of Mathematics, focusing on quantum foundations and mathematical physics. His current work centers on quantum causality and thermodynamics, with ongoing leadership of the "Quantum Causality: Mathematical and Practical Aspects" project (2024-2027). His research spans quantum information theory, particle physics, and mathematical foundations, with particular expertise in indefinite causal orders, quantum thermodynamics, and tests of quantum-classical boundaries. Recent work demonstrates significant contributions to quantum resource theory and foundational tests using meson and neutrino oscillations. Publication trends since 2016 show evolution from particle physics (meson oscillations, 2016-2019) toward advanced quantum information theory (quantum causality, thermodynamics, 2022-2025). His 26 publications include theoretical frameworks for quantum processes with indefinite time direction and practical applications in quantum communication. International collaborations are evident through co-authorship with researchers across multiple countries, though specific lab affiliations aren't detailed in available materials.

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