جست‌وجوی استاد و پژوهشگر

• Satellite Communications
• CubeSat Technology
• Software Defined Radio
• +۳ مورد دیگر

Manuela Wenger is a researcher specializing in satellite communications and spacecraft systems at the Institute of Communication Networks and Satellite Communications. Her work focuses on CubeSat technology, software-defined radio (SDR), and satellite payload design. She has contributed to projects like the BRITE-Constellation, OPS-SAT, and the PRETTY satellite, which explores climate monitoring via Earth observation. Wenger has authored over 60 publications and holds the Forschungspreis (2007) for her research. She actively participates in international conferences, presenting on topics such as satellite communication links, fault detection in spacecraft systems, and innovative antenna designs. Education: Dipl.-Ing., Dipl.-Ing. (FH), Dr.techn. Research Interests: CubeSat applications, SDR platforms, fault-tolerant power systems, and VHF/S-band communication protocols. She collaborates internationally on space projects, emphasizing operational efficiency and environmental monitoring through satellite systems. Awards: Forschungspreis (2007). Grants & Projects: Leads/co-investigator in projects like Design and development of antenna systems (2021–2030), PRETTY (Passive Reflectometry and Dosimetry), and MCCL SignalGen (2024–2025). Labs/Teams: Involved in the Institute of Communication Networks and Satellite Communications, focusing on CubeSat development and space communication technologies.

Georg Mayrمشاهده پروفایل

دانشیار

• Atmospheric Dynamics
• Lightning Prediction
• Climate Modeling
• +۳ مورد دیگر

Dr. Georg Mayr is an Associate Professor in the Department of Atmospheric and Cryospheric Sciences (ACINN) at the University of Innsbruck. His research focuses on atmospheric dynamics, lightning prediction, foehn wind patterns, and climate modeling. He leads projects such as LightningPredict and Profcast , addressing environmental risks like upward lightning at wind turbines and atmospheric deserts' impact on extreme weather events. Mayr's work integrates machine learning and statistical methods for probabilistic forecasting, including lightning processes and thunderstorm environments. He has co-authored over 50 peer-reviewed articles since 2016, emphasizing interdisciplinary approaches to climate and meteorological challenges. His team collaborates on tools like foehnix for scalable diagnostics and Cholesky-based regression models for multivariate data analysis. Key contributions include long-term foehn wind reconstructions, spatial lightning climatologies, and risk assessments for tall structures. Mayr's research supports practical applications in renewable energy safety and airport low-visibility forecasts. His lab, ACINN, fosters collaboration across atmospheric science and cryospheric studies.

• E-Learning
• Virtual Worlds
• Information Systems
• +۳ مورد دیگر

Frank Kappe is a Professor at Graz University of Technology's Institute of Human-Centred Computing, specializing in e-learning systems, virtual environments, and web technologies. His research integrates educational innovation with computational solutions, focusing on scalable learning architectures and interactive platforms. His work spans digital manufacturing platforms, visual document exploration systems, and adaptive content delivery frameworks. Recent studies examine blockchain applications in education, flipped classroom models, and security vulnerabilities in learning management systems. Kappe maintains an extensive publication record exploring human-computer interaction paradigms, collaborative learning tools, and real-time communication systems for education. His technical innovations include mentoring session architectures using Reverse AJAX and intelligent curriculum assistants.

Robert Legensteinمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuromorphic Computing
• Spiking Neural Networks
• +۳ مورد دیگر

Dr. Robert Legenstein is a Full Professor and Institute Head at the Institute of Machine Learning and Neural Computation , Graz University of Technology. He serves as Speaker of the Graz Center for Machine Learning and Action Editor for Transactions on Machine Learning Research (TMLR) . His research bridges computational neuroscience and machine learning, focusing on neuromorphic computing systems that mimic biological neural networks. Research Leadership: Leads EU-funded projects like Adaptive Optical Dendrites (FET-Open) , SYNCH (FET-Proactive) , and Stochastic Assemblies in SNNs (FWF) . Scientific Contributions: Develops learning algorithms for spiking neural networks (SNNs), with applications to memristive architectures, neuroprosthetics, and energy-efficient AI systems. Key Publications: 15+ recent works on topics including dendritic computing, hardware-aware training, and context-dependent neural processing. Teaching Roles: Offers courses like Deep Learning , Principles of Brain Computation , and Data Structures & Algorithms . Contact: robert.legenstein@tugraz.at | +43 316 873 5824 | Inffeldgasse 16b/I, 8010 Graz, Austria.

• Rotor Dynamics
• Mechanical Vibrations
• Structural Dynamics
• +۳ مورد دیگر

Michael Klanner is an Associate Professor at the Institute of Mechanics at TU Wien. His research focuses on rotor dynamics, structural vibrations, and numerical methods for mechanical systems. He has contributed to advanced topics like fractional damping models, transient analysis of beams with nonlinear boundary conditions, and NVH optimization in hybrid battery housing designs. His work bridges theoretical models and experimental validation, particularly in rotor balancing techniques and viscoelastic material behavior. Klanner actively participates in international conferences such as ISMA and USD, presenting cutting-edge findings on rotor-bearing systems and wave-based methods. He leads a 2025–2029 FWF project on transient vibroacoustic problems, aiming to develop wave-based methodologies for complex structural dynamics challenges. His research emphasizes interdisciplinary applications in automotive and mechanical engineering, with a focus on improving dynamic system performance through advanced computational tools. Key research areas include rotor dynamics (e.g., flexible rotors, anisotropic bearings), structural acoustics (hybrid materials, damping properties), and numerical methods (Trefftz approach, polynomial chaos expansion). He collaborates internationally, addressing challenges like uncertainty quantification in parameters and experimental validation of numerical models. Klanner’s contributions span academic publications (34+ articles), conference presentations (33+), and applied engineering solutions in automotive and mechanical systems.

• Quantum Physics
• Superconductivity
• Bayesian Statistics
• +۳ مورد دیگر

Wolfgang von der Linden is a full Professor at TU Graz, affiliated with the Institute of Theoretical Physics - Computational Physics. He holds the title of Univ.-Prof. and serves as Dean of Studies, with office hours on Tuesdays 11-12. His research spans quantum many-body systems, superconductivity under extreme conditions, Bayesian statistical methods, and interdisciplinary applications in biomedical engineering and materials science. Key research areas include: quantum transport using neural-network quantum states, high-pressure hydride superconductors (Superhydra project), Bayesian uncertainty quantification in medical diagnostics, and computational discovery of novel materials. He has pioneered methods such as the auxiliary master equation approach for nonequilibrium quantum systems and Bayesian encoder-decoder surrogates for stochastic modeling. His work bridges theoretical physics with practical applications, including aortic dissection detection via impedance cardiography and machine learning-driven material synthesis. Over 100 peer-reviewed articles demonstrate contributions to quantum physics, computational materials science, and statistical methodology. Active in academic governance, he maintains the research group 'Many-Body Physics' at TU Graz.

• Graphene
• Boron Nitride
• Nanoclusters
• +۳ مورد دیگر

Manuel Längle is a Researcher and Post Doc at the University of Vienna's Faculty of Physics, specializing in the Physics of Nanostructured Materials. His work spans 2019-2024 and focuses on advanced characterization and manipulation of 2D materials including graphene and boron nitride. Research areas include automated image analysis, defect engineering, and nanostructure manipulation using scanning transmission electron microscopy. Research Focus: Graphene and boron nitride nanostructures Single-atom and nanocluster doping in 2D materials Electron microscopy techniques for nanomaterials characterization Noble gas encapsulation in layered materials Awards: Niederösterreichisches Landesstipendium (Lower Austrian State Scholarship) (2020)

• Composite Materials
• Polymer Composites
• Interface Engineering
• +۳ مورد دیگر

Diana-Ioana Bratilescu is a Lecturer and Predoctoral Researcher in the Department of Materials Chemistry at the University of Vienna's Faculty of Chemistry. Her research designs composite interfaces inspired by natural materials, focusing on polymer composites with enhanced mechanical properties. Work explores nacre-like structures and amorphous polymer composites, developing strategies to optimize interfacial bonding between matrix and reinforcement phases. Recent presentations address 'From naked to nacre: designing composites interfaces' and 'High performance amorphous polymer composites'. Her approach combines materials synthesis, interfacial characterization, and mechanical testing to develop next-generation composite materials for structural applications.

Günter Gollmannمشاهده پروفایل

دانشیار مدعو

• Evolutionary Biology
• Amphibian Ecology
• Conservation Biology
• +۵ مورد دیگر

Günter Gollmann is an Adjunct Associate Professor at the University of Vienna, affiliated with the Faculty of Life Sciences and the Department of Evolutionary Biology. He leads a 25-year long-term study on yellow-bellied toads in the Vienna Woods, focusing on ecology, conservation, and evolutionary processes. His research spans speciation, hybrid zones, dispersal, and life-history variation in amphibians. He serves as Editor-in-Chief of Herpetozoa (open access journal) and is an editorial board member of Amphibia-Reptilia and Diversity . His teaching includes evolutionary biology and amphibian ecology courses. Key research interests include amphibian population dynamics, conservation strategies, and the genetic and ecological drivers of speciation. His work bridges theoretical and applied ecology, with a focus on threatened species in Central Europe. Publications highlight interdisciplinary studies on amphibian longevity, phylogeography of fire-bellied toads, and ecological impacts of transgenic organisms. His contributions to Austrian conservation efforts include compiling red lists for endangered amphibians and reptiles. He collaborates with the Unit for Theoretical Biology and maintains ties with international researchers in evolutionary and conservation studies.

Kerstin Hummerمشاهده پروفایل

دانشیار

• Computational Materials Science
• Photocatalysis
• Excitonic Systems
• +۴ مورد دیگر

Kerstin Hummer is an Associate Professor in Computational Materials Physics at the University of Vienna's Faculty of Physics. She leads research on ab-initio modeling of materials using density functional theory (DFT) and advanced computational methods, with applications in photocatalysis, exciton dynamics, and bandgap engineering. Her group investigates low-dimensional materials like transition metal dichalcogenides and semiconductor alloys, focusing on electronic, optical, and vibrational properties. Recent work includes neural network potentials for simulating ion diffusion in telluride materials and spectroscopic analysis of copper-zeolite catalysts. Publications demonstrate consistent focus on improving DFT methods through hybrid functionals, with applications spanning ZnO semiconductors, III-V compounds, and organic molecular crystals. Her teaching includes courses on scientific computing and light-matter interaction. Awards include the L'ORÉAL 'For Women in Science' fellowship and AT&S Research Grant for innovations in materials modeling.

Eduarda Sangiogo Gilمشاهده پروفایل

پژوهشگر

• Nonadiabatic Dynamics
• Photochemistry
• Quantum Algorithms
• +۳ مورد دیگر

Eduarda Sangiogo Gil is a researcher at the University of Vienna's Faculty of Chemistry, Department of Theoretical Chemistry. Her work focuses on nonadiabatic dynamics, quantum algorithms, and computational methods for simulating photochemical processes. She has developed software tools like EXASH for exciton-based surface hopping dynamics and contributed to packages such as Newton-X and MOPAC-PI. Her research integrates quantum-classical hybrid algorithms, semiempirical methods, and advanced trajectory-based simulations. Teaching: Courses on Chemical Dynamics Simulation, Computational Methods, and Journal Club at University of Vienna (2024). Collaborations: Active in international projects involving quantum computing for dynamics and exciton models in materials. Key research areas include extending exciton models beyond Frenkel theory, incorporating quantum algorithms into surface hopping approaches, and benchmarking molecular dynamics methods. Recent work explores azo-escitalopram photoisomerization and methanimine dynamics on quantum computers. Her software contributions enable efficient simulations of multichromophoric systems and nonadiabatic processes, with applications in drug design and material science.

Tobias Dickbrederمشاهده پروفایل

پژوهشگر

• Physical Chemistry
• Surface Science
• Materials Science
• +۴ مورد دیگر

Tobias Dickbreder is a Researcher in the Department of Physical Chemistry, Faculty of Chemistry, specializing in atomic-scale surface characterization of minerals. His work integrates scanning probe microscopy, temperature programmed desorption, and computational modeling to investigate water-mineral interactions critical for atmospheric ice nucleation and weathering processes. His educational qualifications include: Bachelor of Science (B.Sc.) Master of Science (M.Sc.) Doctorate (Dr.) Dickbreder's research spans Physical Chemistry, Earth Sciences, and Materials Science with emphasis on mineral surface reactivity. Key focus areas include water adsorption/desorption thermodynamics on feldspar and calcite, ice nucleation mechanisms on atmospheric dust particles, and nanoscale surface reconstruction phenomena. His experimental approach combines ultrahigh vacuum techniques with environmental interfaces to simulate atmospheric conditions. Analysis of his publication record reveals consistent investigation of K-feldspar microcline (001) surfaces since 2021, evolving from fundamental surface characterization (2021-2023) to atmospheric implications (2024-2025). Recent work demonstrates how atomic-scale water organization governs ice nucleation efficiency, with direct relevance to climate modeling. His development of unDrift software addresses critical instrumentation challenges in nanoscale imaging. No scientific awards were documented in the provided information. While student advising and grant details remain unreported, Dickbreder's collaborative publications indicate active mentorship within his research team. His 2025 presentation activity demonstrates knowledge dissemination through international conferences focused on mineral-water interface science. He operates within Angelika Kühnle's research ecosystem, collaborating closely with Florian Schneider, Lea Klausfering, and Ralf Bechstein on feldspar surface projects. The team utilizes advanced scanning probe facilities to resolve atomic structures of mineral interfaces under controlled humidity conditions, with recent expansion into calcite surface studies.

Markus Arndtمشاهده پروفایل

استاد

• Macromolecular quantum optics
• Matter-wave interferometry
• Testing the linearity of quantum physics
• +۴ مورد دیگر

Markus Arndt is a University Professor at the Faculty of Physics of the University of Vienna, leading the Quantum Optics, Quantum Nanophysics and Quantum Information department. His research focuses on macromolecular quantum optics, matter-wave interferometry, and testing quantum mechanics at macroscopic scales. He has held significant administrative roles, including Dean of the Faculty of Physics (2012–2014) and speaker of multiple doctoral programs like CoQuS. Arndt's work bridges quantum physics with nanotechnology and biology, pioneering interferometry experiments with large molecules and nanoparticles. His experimental setups explore quantum superposition states and foundational questions about wavefunction collapse. Key achievements include the Wittgenstein Prize (2008), ERC Advanced Grant (2012), and Corresponding Membership in the Austrian Academy of Sciences since 2014. He leads major projects like quantA: Quantum Science Austria (2023–2028) and contributed to the MAQRO space-based quantum resonator campaign. His recent articles emphasize nanoparticle cooling, molecular diffraction at nanomasks, and superconducting quantum detectors for high-precision measurements. Arndt’s research has been disseminated through 168+ publications and widely cited in quantum physics and chemistry. Major awards include the START Prize (2001) and the City of Vienna’s Natural Sciences Prize (2013). He actively promotes quantum science through outreach, including podcasts and educational tools, while advancing interdisciplinary collaborations in quantum technology and biomolecular physics.

• Halogen Bonding
• Crystal Engineering
• Electron Diffraction
• +۳ مورد دیگر

Steven van Terwingen is a researcher in the Department of Inorganic Chemistry at RWTH Aachen University's Faculty of Chemistry. He holds B.Sc. and M.Sc. degrees from RWTH Aachen. His research focuses on halogen bonding mechanisms, electron diffraction techniques, and crystal engineering applications. Recently, he co-authored a 2024 conference paper in Acta Crystallographica and presented at scientific conferences in 2024. He leads an active project (2025–2028) on electron diffraction analysis of halogen bonding's electrostatic potential (ESP). Education: B.Sc. and M.Sc. in Chemistry from RWTH Aachen University Key Projects: Electron Diffraction to Gauge the ESP of Halogen Bonding (2025–2028) His work bridges theoretical and experimental approaches to understand molecular interactions, with emphasis on halogen bonding's role in crystal design and material synthesis. Recent activities include oral and poster presentations at international conferences.

• Microbiology
• Molecular Biology
• Gene Expression Regulation
• +۳ مورد دیگر

Isabella Moll is a Professor at the Max Perutz Labs, Department of Microbiology, Immunobiology and Genetics. Her research focuses on bacterial gene expression regulation, particularly under stress conditions, with an emphasis on translation initiation mechanisms, leaderless mRNAs, and the MazF toxin-antitoxin system. She has contributed extensively to understanding how bacteria adapt to stress through translational control and RNA processing. Her work integrates structural biology, molecular genetics, and systems biology approaches. Key research areas include the study of ribosome heterogeneity induced by stress, the role of small RNAs in regulating gene expression, and the molecular mechanisms underlying bacterial persistence and antibiotic resistance. She has led projects funded by grants such as 'Translation initiation complex formation during stress' and 'S1:Neue Mechanismen Stressantwo'. Her collaborations span international institutions, reflecting her expertise in bacterial stress responses and protein synthesis. Notable contributions include elucidating the function of MazF in translational heterogeneity and the role of RNA ligases in reversing ribosome abnormalities. She has also explored quorum sensing mechanisms and the impact of antibiotics like kasugamycin on bacterial physiology. Her work aligns with UN Sustainable Development Goals, particularly in combating antimicrobial resistance and advancing molecular biology insights for health and environmental sustainability.