جست‌وجوی استاد و پژوهشگر

• Geotechnical Engineering
• Artificial Intelligence
• Computational Engineering
• +۳ مورد دیگر

Enrico Soranzo is a Senior Lecturer at the Institute of Geotechnical Engineering, part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). His research focuses on the application of Artificial Intelligence in geotechnical engineering , particularly in tunnelling , slope stability , and soil mechanics . He has contributed extensively to understanding stress redistribution in tunnels, levee cross-sections, and probabilistic analysis using surrogate models. Research Highlights: Soranzo's work bridges computational engineering with physical modeling , utilizing geotechnical centrifuge testing and machine learning to address challenges in infrastructure stability. Recent studies involve predicting soil particle size distribution via convolutional neural networks and analyzing landslide transitions from slow movement to catastrophic failure. Scientific Awards: Brenner Award 2011 Advising and Grants: Though no explicit student names are listed, Soranzo has supervised theses on topics like root-reinforced slopes and tunnel face stability . His work often involves collaborations with institutions like Delft University of Technology and the Verband Beratender Ingenieure.

• Agricultural Water Management
• Soil Hydrology
• Irrigation Systems
• +۳ مورد دیگر

Reinhard Nolz is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Institute of Soil Physics and Rural Water Management . His work focuses on optimizing irrigation strategies, soil water monitoring, and hydrological modeling to ensure sustainable water use in agriculture. Research Highlights Developed climate-resilient irrigation frameworks Advanced lysimeter-based water balance studies Integrated sensor networks for real-time soil moisture Validated evapotranspiration models Conducted international agricultural hydrology collaborations Publications 20+ peer-reviewed articles (2009-2024) on irrigation technology Key contributions to Acta Hydrologica Slovaca and Die Bodenkultur Service Editorial Board Member: Acta Hydrologica Slovaca (2017-2020) Peer reviewer for Geoderma , Journal of Hydrology

• Soil Physics
• Water Management
• Agricultural Sustainability
• +۳ مورد دیگر

Marton Toth is a researcher at the Institute of Soil Physics and Rural Water Management , part of the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on soil and water management, particularly in agricultural contexts. Research Interests: Marton investigates the long-term impacts of tillage practices on soil health, carbon sequestration, and erosion control. His studies also model how climate change affects soil organic carbon stocks and evaluate conservation agriculture techniques at watershed scales. Publications: His recent work includes climate-resilient soil management strategies and collaborations on vineyard soil conservation. Notably, he has contributed to biotechnology research on AAV production, highlighting interdisciplinary efforts. Advising: He supervised Anna-Katharina Peschke's master's thesis on nitrate leaching in Pyhra. Projects: Marton participates in EU-funded initiatives like TUdi , which develops integrated platforms for sustainable soil management in agricultural systems across the EU and China.

• Plant Physiology
• Viticulture
• Abiotic Stress
• +۷ مورد دیگر

Jose Carlos Herrera, Ph.D., is a Senior Scientist at the Institute of Viticulture and Fruit Growing within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). He has been affiliated with BOKU since 2016, first as an Assistant Professor and promoted to Senior Scientist in 2022. His research is centered on the stress physiology and ecophysiology of grapevines, particularly under drought and heat stress, with additional focus on irrigation management and grape biochemistry. His research interests lie at the intersection of plant physiology, viticulture, and climate change adaptation. He investigates stomatal behavior, water relations, osmotic adjustment, metabolic plasticity, and drought legacy effects in grapevines. His work emphasizes both fundamental physiological mechanisms and practical applications for sustainable viticulture in a changing climate. The 15 most recent publications highlight a consistent focus on abiotic stress responses in grapevines, particularly drought and heat. Key themes include stomatal regulation, hydraulic traits, osmotic adjustment, seasonal acclimation, phenotyping methods, and the use of PIWI cultivars. His research combines field and controlled experiments with advanced measurement techniques, including physiological monitoring and remote sensing. There is a strong emphasis on understanding carry-over effects and time-dependent responses, reflecting a deep interest in plant memory and acclimation. Joseph Pleil Forschungspreis der Österreichischen Hagelversicherung (2018) Herrera actively supervises master’s students and has served on Ph.D. examination committees at international institutions such as the Universidad de Murcia. He is a frequent reviewer for leading journals in plant science and viticulture. His research is supported by national funding bodies (e.g., FWF) and industry partners. He is also engaged in knowledge transfer, contributing to public outreach and media discussions on climate change impacts on viticulture. He leads multiple research projects focused on optimizing water use, enhancing drought tolerance, and developing climate-resilient viticultural practices. His work often involves interdisciplinary collaboration and the application of novel technologies for monitoring and modeling vine responses.

• Chromophores
• Fluorescence Resonance Energy Transfer
• Energy Transfer
• +۵ مورد دیگر

Richard Wilhelm Jacobi is a researcher at the Institute of Theoretical Chemistry within the Faculty of Chemistry. He holds a B.Sc. and MSc and currently serves as Co-Project Manager for an ÖAW Doc scholarship project focused on biomimetic DNA-liposome-based light-harvesting complexes (2024-2026). His research interests span multiple areas of theoretical and physical chemistry, with primary focus on Chromophores , Fluorescence Resonance Energy Transfer , and Energy Transfer mechanisms. His work extensively investigates Liposome systems, Bilayer membrane dynamics, and Electron Transfer processes in biomimetic environments. Dr. Jacobi's publication record shows consistent output since 2022, with increasing prominence in high-impact journals. His recent work demonstrates a clear trajectory toward understanding complex light-harvesting systems, with particular attention to molecular representation challenges and environmental effects on energy transfer efficiency. ÖAW Doc scholarship for research on biomimetic DNA-liposome systems As an active researcher, Jacobi has delivered multiple invited presentations in 2025 on topics including 'Photosynthesis 2.0' and 'Structure and Dynamics of Bio-inspired DNA-liposome Hybrid Light-harvesting Systems,' indicating strong recognition in his field. His research appears to focus on bridging theoretical models with practical biomimetic applications for energy harvesting.

• Sports Physiology
• Exercise Science
• Sports Medicine
• +۳ مورد دیگر

Dr. Alfred Nimmerichter is a Professor and Head of the Faculty of Sports at the University of Applied Sciences Wiener Neustadt. He holds leadership roles as Head of the Bachelor and Master programs in Training & Sport and Training & Sport Sciences, and serves as Deputy Head of the Academic Board. His research focuses on sports physiology, particularly in youth athletes, exercise performance optimization, and muscle oxygenation dynamics. Key research areas include the effects of menstrual cycles on athletic performance, carbon shoe biomechanics, and pediatric exercise science. He leads projects like the 'Female Hormonal Cycle' study and investigates muscle deoxygenation in youth cyclists. His work emphasizes reproducibility in strength testing and critical power models in both lab and field settings. Recent publications highlight longitudinal studies on aerobic fitness in cyclists and cognitive factors in Formula 1 simulation performance. Nimmerichter is an editorial board member for Pediatric Exercise Science and actively collaborates on international projects. His applied research bridges sports science with practical training methodologies for elite and youth athletes.

• Materials Physics
• Thin Films
• Mechanical Engineering
• +۵ مورد دیگر

Juraj Todt is a Professor and Chair of Materials Physics, specializing in advanced materials characterization and mechanics. His research focuses on thin films, nanomaterials, and energy materials, with a strong emphasis on understanding microstructural and mechanical properties through techniques like X-ray diffraction and in situ experiments. He has conducted extensive studies on topics such as thermomechanical fatigue, hydrogen embrittlement, and solid-state battery materials. His work often involves collaborations with leading institutions like DESY and ESRF, where he has engaged in visiting research and presented findings. Key areas of interest include the interplay between microstructure, stress, and material performance, particularly in contexts like battery safety, superelastic alloys, and nanoscale stress analysis. Recent contributions highlight advancements in machine learning for material property prediction, as well as insights into polysulfide dynamics in Na-S batteries and lithium dendrite suppression strategies. His research bridges fundamental materials science with practical applications in energy storage, aerospace, and mechanical engineering.

Guillaume Bellecمشاهده پروفایل

استادیار

• Machine Learning
• Neuroscience
• Artificial Intelligence
• +۳ مورد دیگر

Guillaume Bellec is an Assistant Professor at the Machine Learning Research Unit of TU Wien (Vienna, Austria). He holds a PhD from TU Graz (2019) and completed a postdoc at EPFL's Laboratory of Computational Neuroscience. His research focuses on biologically plausible machine learning models, neuromorphic computing, and spiking neural networks. He leads the lab studying brain-inspired AI systems. Developed the Chord ai app (2M+ users) for real-time chord recognition using deep learning Recipient of Vienna Science and Technology Fund (WWTF) grant (2025-2032) for AI and Neuroscience projects Published in top venues including NeurIPS, Nature Communications, and ICLR Research interests combine machine learning theory with neuroscience principles, emphasizing energy-efficient neuromorphic systems and biologically realistic neural network models. Key contributions include spike-based learning rules (E-Prop), sparse network training (Deep Rewiring), and neuromorphic hardware integration. Teaching experience includes Machine Learning (TU Graz) and courses on computational intelligence and reinforcement learning at bachelor/master levels.

Stefan Fenzمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• E-Commerce
• Semantic Technologies
• +۳ مورد دیگر

Stefan Fenz is a Senior Scientist in the E-Commerce Research Area at TU Wien's Faculty of Informatics. His research integrates artificial intelligence and semantic technologies to solve complex problems across agriculture, building engineering, and information security domains. His research focuses on: AI-driven agricultural planning including crop rotation optimization and humus enrichment Semantic technologies for energy-efficient building design and renovation using BIM E-Commerce systems and ontology-based information security compliance Recent publications (2023-2021) demonstrate a strategic shift toward sustainability applications, with AI and semantic technologies addressing critical challenges in agricultural planning and building energy efficiency. Earlier work (2016-2018) established foundational contributions in information security ontologies and cloud migration frameworks, revealing consistent expertise in transforming complex decision processes through semantic approaches. Dr. Fenz leads significant research projects including 'Artificial intelligence for crop rotation planning and humus enrichment' and 'Semantic technologies for energy-efficient building planning', indicating active grant funding from multiple institutional sources. His collaborations span the Institute for Software Engineering and Interactive Systems and the Network Lab, reflecting strong interdisciplinary engagement within TU Wien's research ecosystem.

Alexander Hampelمشاهده پروفایل

پژوهشگر

• Software Architecture Management
• IT Governance
• Cloud Computing
• +۳ مورد دیگر

Dr. Alexander Hampel is affiliated with the Institute of Management Sciences at TU Wien. He holds a Dr.techn. (technical doctorate) and focuses on interdisciplinary research at the intersection of information technology and organizational management. His work emphasizes software architecture management, IT governance, cloud computing strategies, and process modeling in industrial contexts. Affiliations: TU Wien, Institute of Management Sciences Labs/Teams: Network Lab Key research contributions include empirical studies on IT governance in Austrian enterprises, process models for cloud computing adoption, and frameworks for production planning systems. His 2005 thesis pioneered J2EE simulation techniques in manufacturing contexts. Recent work (2010) addresses organizational transformation in IT departments and legal aspects of cloud services. He has advised three major thesis projects: Andreas Thöni on IT governance leadership Walter Hölzendorfer on cloud computing market strategies Lorenz Schnöpf on IT service organization transformation

• Building Physics
• Energy Efficiency in Buildings
• Sustainable Architecture
• +۳ مورد دیگر

Ulrich Pont is a Senior Scientist at the Vienna University of Technology (TU Wien), affiliated with the Department of Building Physics and Building Ecology (Forschungsbereich Bauphysik und Bauökologie). His work focuses on advancing energy efficiency, sustainable architecture, and urban sustainability through interdisciplinary projects such as SEMERGY, BAU_WEB, EDEN, and E_PROFILE. He actively contributes to building physics research, including thermal performance analysis, vacuum glazing technology, and urban green infrastructure development like the 'Smart and Urban Tree' initiative. Key research areas include thermal retrofitting of buildings, energy consulting practices, and the integration of innovative materials into construction workflows. Pont collaborates with industry partners to bridge the gap between theoretical models and practical implementation in energy-efficient building design. Recent presentations highlight his work on diving physiology's interdisciplinary connections to building science, emphasizing cross-disciplinary approaches to complex engineering challenges. His projects often address urban heat island effects, energy data integration, and smart city technologies. Pont leads multiple research endeavors, including the development of vacuum glazing applications and the optimization of building energy performance through digital tools. His work aligns with EU sustainability goals and contributes to advancing Austria's energy policy frameworks.

Johannes Heurixمشاهده پروفایل

پژوهشگر

• Data Privacy
• Healthcare Informatics
• Sustainable Building Design
• +۳ مورد دیگر

Johannes Heurix is a Researcher affiliated with the E194-04 - Forschungsbereich E-Commerce at TU Wien. His work focuses on interdisciplinary research at the intersection of data privacy, healthcare informatics, and sustainable building design. He has contributed significantly to projects like SEMERGY, which applies semantic web technologies to optimize energy-efficient building designs and retrofit strategies. His research also includes privacy-enhancing technologies, particularly in medical data anonymization and pseudonymization for secondary use. Research Interests: Data Privacy and Security Healthcare Informatics (De-identification of Medical Records) Sustainable Building Design and Optimization Semantic Web Technologies for Decision Support Systems Risk Management in Information Security Publications (2013–2016): Focus on semantic technologies for building performance optimization, privacy-preserving techniques in healthcare, and interdisciplinary cybersecurity challenges. Recent work emphasizes multi-objective optimization frameworks and taxonomies for privacy-enhancing technologies. Awards: No specific honors mentioned in available texts. Collaborations include extensive multi-institutional projects like SEMERGY, involving teams from TU Wien and other academic partners. Labs/Teams: Active in the Network Lab and SEMERGY research group, developing tools for energy-efficient building design and privacy-preserving data systems.

• Model-Driven Engineering
• Software Engineering
• Model Transformation
• +۳ مورد دیگر

Gertrude Kappel is a Full Professor (O.Univ.Prof.in) in the Business Informatics Research Area at TU Wien, Austria. Her research focuses on model-driven engineering, software systems modeling, and industrial applications of formal methods. She has contributed extensively to advancing UML/fUML standards, model transformation techniques, and interdisciplinary approaches to software engineering. Education and Academic Background: While specific educational details are not explicitly listed, her academic role at TU Wien indicates a PhD in Computer Science or related field. She has been actively involved in shaping curricula for model-based software engineering and adapting educational methods for remote learning environments. Research Interests: Her work bridges theoretical modeling frameworks with practical industrial challenges. Key areas include: Model-driven software development lifecycle Integration of IoT and CPS systems Formal verification of software models Temporal and time-series data modeling Interdisciplinary modeling methodologies Collaborations and Impact: Over 120+ publications since 2000 demonstrate her leadership in advancing model-based approaches across academia and industry. Recent work addresses Industry 4.0 challenges and digital transformation in production systems. Advising and Grants: While specific grant details are not provided, her extensive publication record and involvement in thesis supervision (evidenced by contributed theses) indicate active research leadership. She has guided student research on topics like cloud modeling languages, sensor data analysis, and model-driven testing frameworks. Labs and Teams: Core contributor to TU Wien's Network Lab and the Model-Driven Engineering research group. Active in interdisciplinary initiatives like the CPS/IoT Ecosystem platform and industrial process improvement projects.

• Composite Materials
• Computational Mechanics
• Artificial Intelligence
• +۲ مورد دیگر

Sophia Keller serves as a Researcher at the University of Applied Sciences Wels, Austria, within the Research Center Wels Center of Excellence Automotive/Mobility, specializing in Materials engineering. She holds a BSc and Dipl.-Ing. (Diplom-Ingenieur) degree, reflecting her engineering background. Her research integrates Composite Materials, Computational Mechanics, and Artificial Intelligence to advance composite manufacturing processes. Key focus areas include draping simulation optimization, finite element analysis acceleration through AI surrogates, and automation of fabric preforming using reinforcement learning. She develops novel methodologies for geometric defect detection and validation via 3D laser scanning. Recent publications (2023-2025) demonstrate a clear trajectory toward AI-enhanced engineering simulations, with increasing emphasis on real-time automation and quality control in composite production. Her work bridges computational modeling with industrial manufacturing challenges. She received significant recognition through academic awards: FH Wels InnovationAward (2022) As an active Co-Investigator on major research grants, Keller contributes to projects addressing automotive composite manufacturing challenges. Her collaborative work on AdiosRivet (2023-2026) focuses on welded joints for TP-CFRPC vehicle structures, while Pre-2-K (2025-2026) develops semi-automated preform manufacturing for complex 3D components. She operates within the Research Center Wels ecosystem, collaborating with engineering teams on laser scanning validation, robot-supported fiber angle measurement, and AI-driven process automation for the automotive mobility sector.

• Business Model Innovation
• Production Planning
• Supply Chain Management
• +۳ مورد دیگر

Shailesh Tripathi is a Researcher at the University of Applied Sciences Steyr within the Department of Production and Operations Management, actively contributing to the Steyr Center of Excellence for Smart Production and Josef Ressel Centre for Data-Driven Business Model Innovation. His research focuses on business model innovation through data-driven methodologies, production planning optimization, AI-integrated manufacturing systems, and supply chain analytics. Key methodologies include advanced machine learning applications, visualization tools for decision-making, and business model experimentation frameworks. Dr. Tripathi's recent work demonstrates strong interdisciplinary convergence between computer science and operations management, with publications emphasizing practical implementations in industrial settings. Research trends show increasing focus on sustainable production systems and customer-centric digital transformation. He has received the Innovation Management Best Paper Award (2023) for contributions to business model innovation frameworks. Additional recognitions include multiple Scopus-indexed publications with significant industry impact. As Co-Investigator, he secured major funding including the €1.2M Josef Ressel Centre for Data-Driven Business Model Innovation (2023-2027) and the Advanced Analytics for Production project (2017-2019). Current grants focus on AI-driven production optimization and sustainable supply chain modeling. He leads research teams at the Steyr Center of Excellence for Smart Production, collaborating with industrial partners like Siemens and Bosch on real-time production analytics and digital twin implementations.