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نمایش ۴۶-۶۰ از ۱۱۳ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Karin Hainمشاهده پروفایل

دانشیار

University of ViennaAustria

Karin Hain is an Associate Professor at the University of Vienna's Faculty of Physics, specializing in Isotope Physics. Her research focuses on advanced isotope analysis using Accelerator Mass Spectrometry (AMS), with applications in environmental science, nuclear forensics, and Anthropocene studies. She leads projects like "Preparation of a 'spike' for the determination of 237Np" and contributes to "PANIONS: Physics and Applications of Negative IONS" as a key collaborator. Research Funding : Multiple projects including "Embodied Soils" (2023) and "Neptunium spikes for environmental research" (2020) Scientific Expertise : Uranium isotopes, radionuclide tracers, and isotope fingerprinting for pollution source identification Research Interests : Dr. Hain's work bridges nuclear physics and environmental science, targeting ultra-trace analysis of long-lived radionuclides like 236U and 233U. Her projects examine: Nuclear reprocessing plant impacts on marine and coastal ecosystems Anthropocene stratigraphic markers in urban and riverine sediments Clay mineral barriers for nuclear waste containment Isobar suppression techniques in AMS for improved isotopic detection Recent Publications (2023-2025) reveal expertise in environmental uranium geochemistry, with emphasis on isotopic ratio signatures (233U/236U) for distinguishing civil nuclear emissions from weapons fallout. Her work appears in journals like Environmental Science and Technology and Heliyon , often addressing radioactive contamination pathways and metrology standards. Scientific Awards : Best Postdoc Oral Presentation (2017) Fritz Kohlrausch-Preis (2021) Academic Activities : Regular presenter at international conferences including "Science to Science" lectures (2024-2025) on AMS applications for environmental tracers and uranium transport mechanisms in geological media.

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Mourad Siniمشاهده پروفایل

عضو هیئت علمی

Austrian Academy of SciencesAustria

Mourad Sini is a Senior Fellow at the Radon Institute for Computational and Applied Mathematics (RICAM) within the Austrian Academy of Sciences. His primary affiliation is with the Department of Inverse Problems and Mathematical Imaging. He holds a PhD from the University of Provence (2002) and a Habilitation from the Johannes Kepler University Linz (2009). His research focuses on mathematical analysis of partial differential equations, inverse problems, and applications in wave propagation, material sciences, and medical imaging. Key areas include acoustic and electromagnetic scattering, metamaterials, and nanoparticle-based imaging techniques. Current projects include the Austrian Science Fund (FWF)-funded studies on 'Electromagnetism with Extreme Materials' (2020–2024) and 'Mathematical Analysis of Imaging Modalities using Nanoparticles' (2018–2022). Selected grants and collaborations involve King Abdullah University of Science and Technology (KAUST) and the Nanjing Center for Applied Mathematics. His work bridges theoretical analysis with practical applications in engineering and biomedical sciences.

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Gerald Grabherrمشاهده پروفایل

دانشیار

University of InnsbruckAustria

Associate Professor Gerald Grabherr is a distinguished scholar of Roman Provincial Archaeology at the Institute of Archaeology, Leopold-Franzens University of Innsbruck. With over two decades of academic experience, he has established himself as a leading expert in Roman road systems, particularly the Via Claudia Augusta, and Alpine archaeology. His educational background includes: 1986-1994: Regular studies in Classical Archaeology and Art History 1994-2001: Doctoral studies in Classical Archaeology 2007: Habilitation Professor Grabherr's research focuses on Roman settlement structures in Alpine regions, military-civilian transitions in Roman frontier zones, and provincial Roman material culture. His work combines traditional archaeological methods with interdisciplinary approaches, examining how Roman infrastructure shaped regional development and cultural exchange across the Alpine territories. His recent publications demonstrate a growing focus on late antique transformations of Roman settlements, particularly fortified hilltop sites like Burgbichl in Irschen. His work bridges military history, religious studies, and material culture analysis, revealing complex patterns of continuity and change during the transition from Roman to post-Roman periods in the Alpine region. Among his notable recognitions: Prize of the City of Innsbruck for scientific research at the University of Innsbruck (2008) Professor Grabherr has secured significant research funding, including FWF projects, Autonomous Province of Bolzano grants, and an Erasmus+ Strategic Partnership. He has supervised numerous excavation projects across the Alpine region, from Tyrol to Carinthia, and collaborates extensively with international institutions in Portugal, Slovenia, and Italy. His current research team focuses on the IRSCHEN project (Interdisciplinary Resilience through Science and Cultural Heritage Education Network), investigating the late antique settlement on Burgbichl in Irschen, and conducting ongoing fieldwork at multiple Roman sites in the Eastern Alps.

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Albert Wiltscheمشاهده پروفایل

استادیار

Graz University of TechnologyAustria

Albert Wiltsche is an Assistant Professor at the Institute of Architecture and Media , Graz University of Technology. His academic journey began with studies in descriptive geometry and mathematics at Graz University of Technology and Karl-Franzens University of Graz, followed by a doctorate in 2000 with a dissertation titled "Interpolation of Points of a Regular Triangular Grid." He has been actively involved in teaching and research since 1994, transitioning from a contract assistant at the Institute of Geometry to his current role since 2007. Education: Graz University of Technology (PhD in Geometry, 2000), Karl-Franzens University of Graz (Mathematics), Graz University of Technology (Descriptive Geometry). Research Focus: Geometric applications in architecture, parametric modeling, digital fabrication, folding structures, and free-form surface discretization. His work explores the intersection of mathematical precision and architectural creativity, particularly in non-standard geometries and sustainable systems. Collaborations: Frequently works with Milena Stavric on projects like "Parametric Kirigami" and "Interactive Spots," integrating digital tools into architectural education and practice. Projects: Led FWF-funded research on "Non-standard Architecture with Ornaments and Planar Elements," emphasizing material efficiency and aesthetic control in curved surfaces. Publications: Over 84 research outputs spanning computational geometry, digital fabrication strategies, and pedagogical innovations in architectural education.

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Lukas Steinbergerمشاهده پروفایل

دانشیار

University of ViennaAustria

Lukas Steinberger serves as Associate Professor for Statistical Machine Learning in the Department of Statistics and Operations Research at the University of Vienna's Faculty of Business, Economics and Statistics. He is also affiliated with the university's Data Science research network. Prior to his current position, he was a post-doctoral researcher with Angelika Rohde at the University of Freiburg and held a temporary Full Professorship in the Department of Mathematics at the Technical University of Munich. Steinberger's research program centers on statistical inference under differential privacy, high-dimensional data analysis, and uncertainty quantification in statistical learning. His work bridges theoretical statistics with practical machine learning applications, particularly focusing on how to perform valid statistical inference while preserving data privacy. His research has significant implications for fields requiring sensitive data analysis including healthcare, finance, and social sciences where privacy constraints are paramount. His publication record demonstrates consistent contributions to top-tier statistics journals including multiple papers in the Annals of Statistics. His recent work shows a clear trajectory toward developing theoretically sound methods for privacy-preserving data analysis that maintain statistical efficiency. The research themes across his publications reveal strong connections between differential privacy mechanisms, high-dimensional statistical theory, and practical machine learning applications. Scientific Awards: Award for dissertations in the field of theoretical statistics (2016) Steinberger maintains an active research agenda with numerous conference invitations and seminar presentations internationally, reflecting his standing in the statistical community. His current research project "Classification - Preprocessed and high-dimensional data" (2021-2025) indicates ongoing funding and research direction. He serves as Vice-Director of Studies for the Business, Economics and Statistics program and teaches courses including Statistics 2, Computational Statistics, and Classification, Clustering and Discrimination at the master's level. As part of the Data Science research network at University of Vienna, Steinberger collaborates with interdisciplinary teams working at the intersection of statistics, computer science, and domain-specific applications. His research group focuses on developing theoretically grounded approaches to statistical machine learning problems under privacy constraints.

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Masana Castrillo, Marcمشاهده پروفایل

پژوهشگر

Graz University of TechnologyAustria

Herr Marc Masana Castrillo is a Researcher at the Institute of Computer Graphics and Vision within Graz University of Technology (College of Engineering). Holding a PhD in Computer Vision (cum laude) from Universitat Autònoma de Barcelona (2020), he specializes in Deep Learning , Continual Learning , and Neural Network Compression . His work addresses catastrophic forgetting in sequential tasks, out-of-distribution detection, and domain adaptation. PhD Thesis: "Lifelong Learning of Neural Networks: Detecting Novelty and Adapting to New Domains without Forgetting" MSc in Computer Vision (with Honours, 2015) BSc in Mathematics and Computer Science (2014) His research spans continual learning frameworks , feature disentanglement , and multimodal translation . Publications in top-tier venues like TPAMI , BMVC , and ICCV highlight his contributions. He co-developed Avalanche , an open-source PyTorch-based library for reproducible continual learning research. Scientific recognition includes the Best Master Thesis Project at UAB (2015) and the Business Track Award at Accenture Datathon (2016). His email addresses are mmasana@tugraz.at and marc.masana@icg.tugraz.at . He has reviewed for journals like TPAMI and conferences including CVPR and ICCV .

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Benjamin Robinsonمشاهده پروفایل

پژوهشگر

University of KlagenfurtAustria

Dr. Benjamin Robinson is a Researcher at the Institute of Statistics within the Alpen-Adria-Universität Klagenfurt. His work focuses on advanced topics in stochastic processes, optimal transport, and mathematical analysis. He holds an MSc and MRes, and his research explores theoretical and applied aspects of probability theory, stochastic control, and optimization. Recent contributions include studies on adapted Wasserstein distances for SDEs, regularized Kellerer theorems, and optimal control of martingales in symmetric environments. While his publications span both theoretical and applied domains, no specific awards or advisee students are listed in the provided materials. His academic profile reflects a strong commitment to advancing stochastic methodologies and their interdisciplinary applications.

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Daniel Krennمشاهده پروفایل

استادیار

University of KlagenfurtAustria

Daniel Krenn is an Assistant Professor in the Mathematics Department at Paris Lodron University of Salzburg. He holds a Ph.D. in Technical Mathematics from TU Graz (2013) and a Habilitation in Mathematics from Alpen-Adria Universität Klagenfurt (2019). His research focuses on discrete mathematics, including asymptotic enumeration, analysis of algorithms, analytic combinatorics, digit expansions, and graph theory. He has contributed to software development in SageMath, particularly in automata and transducer modules. Education: 2003–2009: Diploma in Electrical Engineering (TU Graz) 2005–2008: Bachelor's in Technical Mathematics (TU Graz) 2008–2010: Master's in Mathematical Computer Science (TU Graz) 2010–2013: Ph.D. in Technical Mathematics (TU Graz) 2019: Habilitation in Mathematics (Alpen-Adria Universität Klagenfurt) Research Interests: Discrete Mathematics Analysis of Algorithms and Data Structures Digit Expansions and Cryptography Combinatorics and Analytic Number Theory Key Awards: Promotio sub auspiciis Praesidentis rei publicae (2013) Austrian Mathematical Society Study Prize (2013) Austrian Federal Ministry of Science and Research Prize (2013) Professional Contributions: Coordinator of the doctoral program “Discrete Mathematics” at TU Graz (2015) Contributions to SageMath software development Over 30 peer-reviewed publications in journals like Algorithmica, Theoretical Computer Science, and Journal of Number Theory

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Fotios Lygerakisمشاهده پروفایل

پژوهشگر

Vienna University of TechnologyAustria

Fotios Lygerakis is a doctoral student and university assistant at the Chair of Cyber-Physical Systems, University of Leoben, Austria. He focuses on advancing machine learning and robotics, particularly in representation learning, visuotactile fusion, and robot learning through imitation and reinforcement learning. His work aims to enable robots to mimic human learning processes via abstraction and creativity, targeting tactile-rich manipulation tasks and human-robot interaction. Education: Pursuing a doctoral degree in Cyber-Physical Systems at the University of Leoben. Research Interests: Representation Learning and Visuotactile Fusion using self-supervised methods Robot Learning: Reinforcement Learning, Imitation Learning, Sim2Real Transfer Human-Robot Interaction and tactile-aware manipulation Recent Achievements: Received the Best Student Paper Award at the 2024 Ubiquitous Robotics Conference for his work on M2CURL. His research has been presented at venues like ICRA, IROS, and NYU. He is also a contributor to projects like MViTaC and CR-VAE. Engagement: Served on organizing committees for ECESCON 9 and PETRA 2021, and volunteered at TED AI Vienna 2024. Active in teaching as a Machine Learning lab assistant and through outreach initiatives like Neural Coffee Reading Group.

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Pavel Exnerمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Pavel Exner is a Professor of Theoretical Physics at Charles University and Scientific Director of the Doppler Institute at Czech Technical University in Prague, Czech Republic. He maintains dual affiliations with the Department of Theoretical Physics at the Nuclear Physics Institute of the Czech Academy of Sciences and the Faculty of Nuclear Sciences and Physical Engineering at Czech Technical University. His educational background spans from BSc in Nuclear Physics (Czech Technical University, 1967) through MSc and RNDr in Theoretical Physics (Charles University, 1969-1970) to advanced degrees in Mathematical Physics from the Joint Institute for Nuclear Research in Dubna (CSc in 1983, DrSc in 1990). Professor Exner's research focuses on mathematical physics , particularly quantum mechanics with complex geometries. His work explores unstable systems, decay phenomena, functional-integral methods, quantum mechanics on graphs and surfaces, quantum chaos, and spectral properties of quantum waveguides. He has made seminal contributions to quantum graph theory, creating rigorous mathematical frameworks for understanding spectral properties of quantum systems on networks. His recent publications demonstrate continued innovation in quantum graph theory, with increasing sophistication in handling complex quantum systems. The work shows particular advancement in understanding the interplay between topology, geometry, and spectral properties, especially regarding vertex conditions, magnetic fields, and transport phenomena in lattice structures. Professor Exner has received numerous prestigious awards throughout his distinguished career: The Neuron Prize for outstanding contributions to science (2016) Foreign Member of the National Academy of Sciences of Ukraine (2021) Elected member of European Academy of Sciences (2023) Multiple prizes from Czech institutions for textbooks and monographs Honorary memberships in several international mathematical and physical societies As Scientific Director of the Doppler Institute, Professor Exner has mentored numerous researchers and organized significant academic activities including the Doppler Institute Seminar (DIS), Quantum Circle seminar (QC), and the Mathematical Results in Quantum Mechanics (QMath) conference series. His leadership has established the institute as a prominent center for mathematical physics research. Professor Exner's primary research activities center at the Doppler Institute, where he leads investigations into quantum systems with complex geometries. The institute serves as a collaborative hub for mathematical physics, hosting regular seminars and fostering international research partnerships that advance the field of quantum graph theory and spectral analysis.

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Mirco Toninمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Mirco Tonin serves as Professor of Economic Policy at the Free University of Bozen-Bolzano and Director of the Institute for the Evaluation of Public Policies at the Bruno Kessler Foundation (FBK-IRVAPP) in Trento. His academic career includes previous positions as Full Professor at the University of Southampton and various consulting roles with the World Bank and International Labour Office (ILO). Professor Tonin's research spans multiple domains including labor economics, public service motivation, experimental economics, behavioral economics, social capital, policy evaluation, public finance, and social preferences. His recent work examines diverse topics from labor market institutions to charitable giving, prosocial motivation, behavioral aspects related to car accidents, water consumption patterns, and educational effectiveness. His publications appear in leading journals across economics, public policy, and interdisciplinary fields. His scholarly contributions have been recognized through prestigious fellowships: 2017 Fellow, Global Labor Organization (GLO) 2015 Research Fellow, Dondena Centre, Bocconi University 2013 Research Fellow, CESifo, Munich 2011 UniCredit Foscolo Europe Fellow, Central European University 2011 Research Fellow, IZA – Institute for the Study of Labor 2010 Fellow, Higher Education Academy Professor Tonin has supervised numerous undergraduate, master's, and PhD students, currently advising three doctoral candidates. As Institute Director, he promotes evidence-based policy through research awards and educational activities for public officials. He actively engages with media through regular contributions to newspapers like Corriere dell'Alto Adige and Sole24Ore, with his research featured in major outlets including the New York Times, Financial Times, and BBC.

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Richard Kowarمشاهده پروفایل

پژوهشگر

University of InnsbruckAustria

Priv.-Doz. Dr. Richard Kowar is a Postdoctoral Researcher at the Department of Mathematics, University of Innsbruck. His research focuses on inverse problems, wave propagation, and mathematical modeling in medical imaging and physics. He specializes in photoacoustic tomography, regularization methods for ill-posed equations, and the analysis of causal wave equations. His work bridges theoretical mathematics with practical applications in biomedical imaging and signal processing. Key research areas include the analysis of dissipative systems, fractional calculus in wave equations, and iterative algorithms for image reconstruction. His studies on causality in wave equations and diffusion models have advanced the understanding of nonlocal operators and their applications. Kowar has contributed to projects like VASCAGE, integrating mathematical techniques with real-world engineering and medical challenges. Publications highlight advancements in photoacoustic imaging with attenuating media, numerical inversion techniques, and theoretical frameworks for causal dynamics. Despite no listed scientific awards, his extensive bibliography demonstrates impactful contributions to applied mathematics and engineering.

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Bernadette Hörmannمشاهده پروفایل

استاد

Catholic University of Education Vienna/KremsAustria

Bernadette Hörmann is a Professor at the Private University of Education of the Diocese of Linz , specializing in educational policy, curriculum theory, and inclusion. She leads the Bausteine der Resilienz project (2023–2026) and co-leads international initiatives like POLNET (2018–2023) and NordEd (2019–2022). Her research focuses on marginalization in accountability systems, evidence-based reforms, and student experiences. Education: PhD (2015) and Magister (2007) from University of Vienna. Key Projects: NOESIS (2010–2014), Vorzeitiger Berufseinstieg (2022–), Demokratiebildung (2022–). Publications: Regular contributor to journals like Comparative Education , Journal of Curriculum Studies , and Pädagogische Horizonte (open-access editor). Her recent articles analyze Nordic school reforms, digital media in education, and Austrian democracy education. She teaches courses on curriculum theory, educational research methods, and teacher training at Linz, Oslo, and Vienna.

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Christel Baierمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Christel Baier is a Full Professor for Algebraic and Logical Foundations of Computer Science at the Faculty of Computer Science, Technical University Dresden. She has held this position since 2006, following her role as Professor for Theoretical Computer Science at Rheinische-Friedrich-Wilhelms Universität Bonn (1999-2006). Her research focuses on probabilistic systems, modeling and specification formalisms, semantics of coordination languages, probabilistic model checking, quantitative analysis, temporal and modal logics, and automata theory. Her work bridges theoretical computer science with practical applications in system verification and analysis, particularly in developing formal methods for probabilistic and timed systems. Professor Baier's publications demonstrate consistent contributions to theoretical computer science with a clear trajectory from foundational work in automata theory to applied model checking techniques. Her research shows particular strength in probabilistic verification methods and their application to complex system analysis. Award for visiting professor (1 month in both years), CNRS/ENS Cachan, France (2005 and 2006) ETAPS Best Theory Paper Award (2008) Professor Baier has advised numerous PhD students throughout her career, including Alexander Asteroth, Nathalie Bertrand, Marcus Groesser, Verena Wolf, and Frank Ciesinski. She currently supervises 4 PhD students at TU Dresden. She has served as Chair of the examination board for bachelor, master and diploma programs in Computer Science at TU Dresden and has been Principal Investigator for 4 national projects funded by the German Research Foundation (DFG). Her research group at TU Dresden focuses on advancing formal verification methods for probabilistic systems. She maintains active involvement in the academic community through editorial board membership of the Journal of Universal Computer Science, steering committee participation for major conferences, and extensive program committee service for top-tier theoretical computer science venues.

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Chris Dowdenمشاهده پروفایل

پژوهشگر ارشد

Graz University of TechnologyAustria

Chris Dowden is a Research Fellow at the Institute of Discrete Mathematics, Graz University of Technology. His research project 'Asymptotic properties of graphs on a surface', funded by the Austrian Science Fund (FWF Grant P27290), investigates combinatorial and probabilistic aspects of graphs embeddable on 2-dimensional surfaces. Key focus areas include random planar graphs, genus evolution, and extremal graph properties. Recent publications analyze topological constraints in random graphs, with works examining genus evolution in Erdős-Rényi models, surface embedding phase transitions, and extremal problems for cycle-free planar graphs. Research employs combinatorial probability, asymptotic analysis, and topological graph theory to establish fundamental properties of random graph embeddings. Teaching activities include courses in Analytic Combinatorics and Probabilistic Methods in Combinatorics and Algorithmics. No awards, student advisements, or laboratory information are detailed in available sources.

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