جست‌وجوی استاد و پژوهشگر

• Plant Biotechnology
• Cell Biology
• Glycosylation Pathways
• +۵ مورد دیگر

Georg Seifert is a Senior Lecturer at the Institute of Plant Biotechnology and Cell Biology , University of Natural Resources and Life Sciences, Vienna (BOKU) . His research focuses on plant cell wall biosynthesis, glycosylation pathways, and interactions between plants and nematodes, with a particular emphasis on fasciclin-like arabinogalactan proteins (AGPs) and their role in root growth regulation. Seifert's work explores how nucleotide sugars contribute to cell wall formation and how post-translational modifications affect plant protein secretion. His projects, primarily funded by the Austrian Science Fund (FWF) , investigate UDP-glucose 4-epimerase regulation, AGP-mediated signaling, and plant stress responses. His publications highlight collaborations with international researchers and demonstrate trends in plant glycobiology, nematode pathogenesis, and cell wall integrity mechanisms. Notable contributions include studies on FLA4 domain functionality, azelaic acid-induced proteins, and pectin dynamics in seed coats. Georg Seifert has supervised numerous PhD and master's theses, including works by Irene Pasini , L. Wohlschlager , and H. Xue . He serves as a reviewer for prestigious journals like Plant Cell , New Phytologist , and Molecular Plant-Microbe Interactions , and evaluates grants for agencies such as the European Research Council and US National Science Foundation .

• Geotechnical Engineering
• Computational Modeling
• Slope Stability Analysis
• +۲ مورد دیگر

Dr. Shun Wang is a researcher at the Institute of Geotechnical Engineering , part of the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on geotechnical challenges related to slope stability, soil creep behavior, and computational modeling of granular materials. Current research projects include Numerical and experimental investigation of creeping slopes (2017-2026) Previously worked on Use of plants and treated natural fibers to improve soil strength (2018-2022) His research interests center on: Computational modeling of geotechnical systems Stress-strain behavior of soils Discrete element method (DEM) applications Landslide mechanics and mitigation Time-dependent material behavior Recent publications analyze hypoplastic constitutive models, viscoplastic soil simulation, and slip zone soil characterization. While no formal awards are listed, his work contributes to sustainable geotechnical solutions and infrastructure resilience.

• Molecular Modeling
• Biocatalysis
• Enzyme Engineering
• +۳ مورد دیگر

Lena Wohlschlager is a Researcher at the Institute of Molecular Modeling and Simulation , part of the University of Natural Resources and Life Sciences, Vienna (BOKU) . Her work focuses on biocatalysis and lignocellulose degradation through advanced molecular techniques. Molecular modeling and simulation Enzyme interaction studies Biomass conversion research Wohlschlager's research explores enzyme localization and activity on complex biopolymers using surface plasmon resonance spectroscopy and fluorescence microscopy , with significant contributions to understanding fungal enzyme systems in lignocellulose breakdown. Her publications since 2018 span topics like heterologous enzyme expression and oxidoreductase mechanisms in biomass hydrolysis. While specific scientific awards aren't mentioned, her work has been presented at international conferences including NextGenBiocat Symposium and Gordon Research Conference . She collaborates with researchers across Europe on biocatalysis projects and has contributed to PhD candidate symposia.

• Nanomagnetism
• Magnonics
• Yttrium-Iron Garnet
• +۳ مورد دیگر

Rostyslav Serha is a researcher affiliated with the Faculty of Physics, specializing in nanomagnetism and magnonics. His work focuses on yttrium-iron garnet (YIG) materials and their applications in quantum devices. Research Interests Nanomagnetism Magnonics Yttrium-Iron Garnet Magnetic Memory Recent research trends include propagating spin-wave spectroscopy, damping enhancement in YIG films, and inverse-design magnonic devices. Collaborations span institutions studying magnetic phenomena at millikelvin temperatures.

• CubeSat Technology
• Electric Propulsion
• Space Environment Monitoring
• +۴ مورد دیگر

Andreas Georg Stren is a researcher at the Department of Aerospace Engineering, Faculty of Engineering, Wiener Neustadt University of Applied Sciences. His work focuses on CubeSat missions, electric propulsion, and radiation effects on satellite components. Key Research Areas: CubeSat technology, magnetic properties, radiation hardness testing, and aerospace environment monitoring. Recent Contributions: Active participation in the 75th International Astronautical Congress (IAC) with publications on orbit-raising CubeSats, lunar navigation systems, and radiation-tolerant instrumentation. Collaborations: Works with international teams on CubeSat projects like CLIMB and ENVY, emphasizing mission planning and next-generation lunar navigation.

Julius Brenneckeمشاهده پروفایل

استاد

• piRNA Pathway
• Transposable Elements
• Genome Defense Systems
• +۵ مورد دیگر

Julius Brennecke is a Professor at the Institute of Molecular Biotechnology (IMBA) at the Vienna BioCenter, where he leads a research group focused on understanding the molecular principles and evolutionary implications of genetic conflicts. His lab investigates how small RNA-guided genome immune systems silence transposons and how transposons evolve to escape suppression, using Drosophila melanogaster as a model organism. Brennecke's research spans multiple areas of molecular biology, with particular focus on the PIWI/piRNA pathway, which acts as a genome immune system in animals. His work examines both the host defense mechanisms and the evolutionary strategies of transposable elements, integrating genetics, comparative genomics, computational biology, imaging, biochemistry, and structural biology. The lab has identified nearly forty core proteins of the piRNA pathway, laying the foundation for understanding this defense system. Recent publications show a strong emphasis on the architecture of silencing complexes, transposon transmission mechanisms, and the co-evolutionary dynamics between hosts and transposable elements. ERC Starting Grant (2010-2015) ERC Consolidator Grant (2016-2021) ERC Advanced Grant (2024-2029) FWF Doctoral Program RNA@CORE (recurring) Austrian Academy of Sciences Affiliation Brennecke actively mentors PhD students and postdoctoral fellows, welcoming applications from motivated individuals interested in RNA biology, biochemistry, computational biology, or genetics. His lab collaborates extensively within the Vienna BioCenter ecosystem, including with Clemens Plaschka's group for biochemical and structural biology, Stefan Ameres' group for quantitative RNA biology, Sven Klumpe's group for cryo-electron tomography, and Alejandro Burga's group for studies on genetic conflicts. The Brennecke lab has developed sophisticated genetic systems enabling precise manipulation of both host and transposon biology, allowing dissection of the molecular and evolutionary dynamics of the arms race between genome defense systems and transposable elements.

• Quantum Optics
• Quantum Nanophysics
• Quantum Information
• +۳ مورد دیگر

Lee Arthur Rozema is a researcher at the Faculty of Physics , specializing in quantum optics, quantum nanophysics, and quantum information. His work focuses on advanced quantum technologies and explores areas such as quantum superposition, entanglement, and nanophotonic devices. He actively collaborates on experimental projects involving two-dimensional materials and graphene-based waveguides. Research Interests: Quantum optoelectronics, quantum communication, and nonlinear optical phenomena in layered semiconductors. His research includes developing deterministic quantum logic gates and broadband entangled light sources. Scientific Awards: Deterministic Quantum Logic Gate Based on Nanostructured Graphene Waveguides (2016)

• Electronic Circuit Design
• RF Power Amplifiers
• Digital Signal Processing
• +۵ مورد دیگر

Hans-Georg Brachtendorf is a Professor at the Research Center Hagenberg Embedded Systems within the School of Informatics, Communications and Media at the University of Applied Sciences Upper Austria - Hagenberg Campus. His work focuses on advanced circuit simulation techniques, RF engineering, and digital signal processing with significant contributions to harmonic balance methods and nonlinear circuit analysis. His research interests span electronic circuit design, RF power amplifiers, digital signal processing, and nonlinear dynamics. Specializing in harmonic balance methods and oscillator circuits, he has developed innovative techniques for steady-state circuit simulation, nonlinear adaptive filtering, and multiplier-less digital filter design. His work bridges theoretical mathematics with practical electronic engineering applications, particularly in THz-wave detection and wireless communication systems. Analysis of his recent publications (2022-2025) reveals a strong focus on nonlinear dynamics identification using symbolic regression, optimization of digital filters through multiplier-less architectures, and governing equation reconstruction from measurement data. His work demonstrates consistent advancement in computational efficiency for circuit simulation while addressing modern challenges in RF and THz technologies. While no specific scientific awards are listed in the available data, his research has generated significant academic impact with 43 publications since 1994 and an h-index reflecting substantial citation influence. Professor Brachtendorf has supervised at least two academic works according to institutional records, though specific student names are not provided. His research activities include collaborations evidenced by joint publications with researchers such as Steiger, Dalpiaz, and Kronberger across multiple institutions. The Research Center Hagenberg Embedded Systems serves as his primary laboratory environment, focusing on digital transformation within ICT strength areas with particular emphasis on circuit simulation and signal processing applications.

• Evolutionary Algorithms
• Keyword Clustering
• Biomedical Information Retrieval
• +۳ مورد دیگر

Thomas Kern is a Senior Researcher at FH OÖ – University of Applied Sciences Upper Austria, affiliated with multiple research centers including the Linz Center of Excellence Medical Technology/TIMed Center, AIST Bioinformatics Center of Excellence, and NASAN (Nano Structuring and Bio-Analytics). His work focuses on digital transformation in healthcare, biomedical information retrieval, evolutionary algorithms, and software prototyping. Education: Diplom-Ingenieur (FH) in relevant technical and applied sciences disciplines. Thomas Kern's research spans interdisciplinary domains, including evolutionary computation , keyword clustering , protein-protein interaction analysis , and high-resolution medical imaging . His projects often integrate computational methods with clinical applications, particularly in diabetic foot simulation and digital nursing home evaluation. Recent publications highlight trends in multi-objective optimization and web-based biomedical databases . Scientific activities include organizing conferences like Softwarepark Hagenberg IT-Expert Series and participating in committees for digital health initiatives. Notable projects are TC-HiResFoot (diabetic foot imaging), TC-BIOsens (bioanalytics), and Digital Nursing Home (process evaluation). Key collaborations involve institutions such as TIMed Center and NASAN.

Gabriel Kronbergerمشاهده پروفایل

استاد

• Symbolic Regression
• Genetic Programming
• Machine Learning
• +۳ مورد دیگر

Gabriel Kronberger is a Professor at Hagenberg University of Applied Sciences, specializing in Symbolic Regression, Genetic Programming, and Machine Learning. His work bridges theoretical advancements with industrial applications in mechatronics and engineering systems. Active in evolutionary computation and symbolic regression since 2006 Lead researcher at the Josef Ressel Center for Symbolic Regression Developed techniques for alarm flood reduction in critical infrastructure His research focuses on Symbolic Regression , where he explores algorithmic enhancements like redundant parameter reduction and equality graph integration. He applies these methods to material science (e.g., tensile strength prediction) and automotive engineering (e.g., powertrain modeling). Recent publications demonstrate a trend toward interactive tools (rEGGression) and hybrid approaches combining genetic programming with machine learning systems (neural networks, random forests). All 158 publications emphasize practical implementations in industrial contexts. He has organized key conferences like Genetic and Evolutionary Computation Conference (2017-2020) and led 6 major research projects from 2013 to 2026, including EREMA Recycling 4.0 and McTronic educational initiatives.

Simon Merschakمشاهده پروفایل

پژوهشگر

• Life Cycle Assessment
• Carbon Footprint Analysis
• Circular Economy
• +۵ مورد دیگر

Simon Merschak is a Researcher at the Research Center Wels, Upper Austria University of Applied Sciences, specializing in sustainable engineering and life cycle assessment. His work focuses on carbon footprint analysis, eco-design principles, and circular economy applications within mechatronic systems and automotive technologies. His research interests center on sustainable product development, with particular expertise in Life Cycle Assessment methodologies, carbon footprint calculations across various industries, and design for disassembly approaches. Merschak's work bridges engineering disciplines with environmental science to create more sustainable manufacturing and product lifecycles. His recent publications (2022-2024) demonstrate a consistent focus on applying life cycle assessment techniques to practical engineering challenges, particularly in automotive systems, plastic packaging, and hand-held tools. These works show a progression toward more comprehensive sustainability assessments that integrate environmental, economic, and social dimensions. Merschak actively participates in knowledge dissemination through presentations on life cycle assessment for plastic packaging and circular economy topics, reflecting his commitment to translating research into practical applications. He supervises research work and collaborates extensively on interdisciplinary projects addressing sustainability challenges in manufacturing and transportation sectors.

Wilfried Kauselمشاهده پروفایل

استاد

• Musical Acoustics
• Physics of Brass Instruments
• Structural Vibrations
• +۳ مورد دیگر

Wilfried Kausel is a faculty member at the University of Music and Performing Arts Vienna, associated with the Department of Music. He serves as Dean of Scientific Studies (Studiendekanat für wissenschaftliche Studien) and leads the Graduate Center. His work bridges musical acoustics and computational physics, with a focus on brass instruments and structural vibrations. Academic Rank: Professor Key Institutions: University of Music and Performing Arts Vienna Research Labs: Acoustic Laboratory, Performance Science Lab Research interests center on the physics of musical instruments, particularly: Computational modeling of brass instruments Wall vibrations and their acoustical influence Directivity patterns and power efficiency Time-resolved interferometry for vibration analysis Bore reconstruction and impedance measurements Stick-slip simulations for lip oscillators The 15 most recent publications (2002-2021) reveal expertise in: Brass instrument mechanics (walls, bells, bores) Wave propagation and coupling Electronic speckle pattern interferometry Computational simulations for acoustics Material properties in instrument design Wind instrument intonation and sensory evaluation Labs and infrastructure include: Acoustic Laboratory with anechoic chamber Performance Science Lab Slow Motion Lab Computer Wing for simulations Motion Capture and Eye Tracking networks

Klaus Muellerمشاهده پروفایل

استاد

• Visual Analytics
• Explainable Machine Learning and AI
• Algorithmic Fairness and Transparency
• +۷ مورد دیگر

Klaus Mueller is a Professor in the Computer Science Department at Stony Brook University , with additional appointments in Biomedical Engineering and Radiology. He serves as Director of the Visual Analytics and Imaging (VAI) Lab, Liaison for the SUNY Korea CS Program, and Interim Chair of the Department of Technology and Society . His career spans roles at Brookhaven National Lab and leadership positions at SUNY Korea. Dr. Mueller earned his PhD in Computer and Information Science (1998), MS in Computer and Information Science (1996), and MS in Biomedical Engineering (1990) from The Ohio State University , alongside a BS in Electrical Engineering (1987) from the Polytechnic University of Ulm, Germany. His research focuses on visual analytics , explainable AI , algorithmic fairness , computational imaging , and medical imaging . He has pioneered GPU-accelerated CT reconstruction techniques, bias mitigation frameworks (e.g., D-BIAS), and tools like DOMINO for causal reasoning. His work bridges data science , human-computer interaction , and medical applications , often integrating large language models for visualization tasks. Recent publications highlight advances in multivariate volume rendering , LLM-driven bias detection , and mDDPM-based medical image synthesis . His articles span IEEE Transactions , Nature Machine Intelligence , and conferences like IEEE VIS and ACM CHI . Award highlights include NSF CAREER (2000), SUNY Chancellor Award (2011), IEEE Golden Core Award (2016, 2022), induction into the National Academy of Inventors (2018), and elevation to IEEE Fellow (2024). He has chaired major conferences and served as Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2019-2022). He teaches graduate and undergraduate courses in visualization , medical imaging , and GPGPU programming , and leads the Visual Analytics Seminar (CSE 648). His lab ( VAI Lab ) fosters interdisciplinary research in GPU-accelerated analytics and ethical AI.

• Human-Computer Interaction
• Usability Evaluation
• User Centered Design
• +۵ مورد دیگر

Gernot Rottermanner is a Researcher at the Media Computing Research Group within the Department of Media and Digital Technologies at St. Pölten University of Applied Sciences' Institute of Creative\Media/Technologies. He has been working at the institution since September 1, 2013, focusing on Usability Evaluation and User Centered Design within various research projects. Rottermanner completed his studies in Media Technology and Digital Media Technologies at St. Pölten University of Applied Sciences from 2008 to 2013, following which he worked as a Student Assistant at the same university from 2011 to 2013 before transitioning to his current research role. His research spans multiple domains including Human-Computer Interaction, Usability Evaluation, Accessibility Technologies, and AI/Machine Learning applications. Rottermanner has made significant contributions to air traffic control systems, accessibility solutions for elderly users, and industrial applications of digital technologies. His work often involves developing and evaluating prototypes for real-world applications, particularly in safety-critical environments and media technology contexts. Analysis of Rottermanner's recent publications (2019-2024) reveals a strong focus on practical applications of HCI principles across diverse domains. His work demonstrates consistent collaboration with industry partners and academic colleagues, with particular emphasis on user-centered solutions for media technology, air traffic control systems, and industrial automation. The publications show an evolution from foundational usability studies toward more complex AI-integrated systems, reflecting broader trends in the field. As a member of the Media Computing Research Group, Rottermanner contributes to numerous research projects including TrustAI, FairMedia, ERIKA, comfort:zone, QUAKE-iP, CLUE, and several iterations of CargoRider platforms. His work often bridges theoretical research with practical implementation, particularly in developing user interfaces for specialized contexts such as aviation and industrial manufacturing.

Stefan Huberمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Industrial Automation
• +۷ مورد دیگر

Stefan Huber is Professor and Head of Research at the Department for Information Technologies and Digitalisation at Salzburg University of Applied Sciences. He also serves as Research Group Leader and Head of the Josef Ressel Center for Intelligent and Secure Industrial Automation, a €2.5M research center established in 2022 focusing on digital assistants for industrial machines with research fields in system architectures, artificial intelligence, and cybersecurity for operational technology. His research spans multiple domains including Machine Learning , Industrial Automation , Cyber Security , Computational Geometry , and Algorithm Theory . Huber's work has evolved chronologically from theoretical computational geometry to practical applications in industrial automation systems. His current research focuses on AI applications in industrial settings, particularly in Industry 4.0 contexts, with significant contributions to OPC UA security, reinforcement learning for control systems, and time series forecasting for industrial processes. Analysis of his recent publications (2023-2025) reveals a strong focus on practical AI applications in industrial automation, with particular emphasis on security aspects of operational technology, predictive modeling for manufacturing processes, and integration of machine learning techniques into industrial control systems. His work bridges theoretical computer science with real-world industrial applications. Excellence rating for Josef Ressel Centre evaluation (2024) Recognition for successful high-tech research (2024) Huber leads multiple significant research projects including AI4GREEN (Data Science for Sustainability, 2024-2027), JRZ ISIA (Josef Ressel Centre for Intelligent Industry Automation, 2022-2027), and IAI (Industrial Artificial Intelligence, 2023-2024). His research group at the Josef Ressel Centre comprises numerous researchers working on system architectures, AI, and cybersecurity for industrial automation. The center has received positive evaluations and media coverage for its high-tech research contributions to the field.