جست‌وجوی استاد و پژوهشگر

Patrick M Boyleمشاهده پروفایل

دانشیار

• Computational Cardiology
• Machine Learning in Cardiovascular Disease
• Cardiac Electrophys
• +۳ مورد دیگر

Patrick M Boyle is an Associate Professor in the Department of Bioengineering at the University of Washington , where he leads the Cardiac Systems Simulation (CardSS) Lab. His research focuses on computational modeling of cardiac electrophysiology, machine learning applications in cardiovascular disease, and regenerative medicine. Boyle holds a PhD in Biomedical Engineering from the University of Calgary and completed postdoctoral work at Johns Hopkins University. His research interests include: Predicting cardiovascular risks via patient-specific MRI-driven virtual heart models Personalized simulations for arrhythmia treatment (catheter ablation, radiation therapy) Optogenetics-enabled cardiac devices Stem cell-derived cardiomyocyte applications Explainable AI for cardiovascular event prediction Scientific contributions span computational cardiology, arrhythmia mechanism elucidation, and algorithm development for stroke risk assessment. Boyle's lab integrates machine learning with multi-scale simulations to address fibrosis-related arrhythmias and develop non-invasive therapeutic approaches . Current projects include AI-powered cancer survivorship risk stratification and optogenetic cardiac rhythm control. His scientific awards include: AHA/Additional Ventures Collaborative Sciences Award (2024) NIH R01 and R21 grants Heart Rhythm Society Fellowship (2017) American Heart Association Fellowship (2023) The CardSS Lab employs open-source tools like openCARP and Numericor , with members participating in clinical cardiology collaborations and weekly translational research meetings. Boyle also contributes to departmental equity initiatives as outlined in his lab website .

Stefan Braunمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Numerical Mathematics
• Asymptotic Methods
• +۹ مورد دیگر

Stefan Braun is an Associate Professor at the Vienna University of Technology (TU Wien) in the Department of Fluid Mechanics, where he has been employed since 2003. He previously served as a Visiting Professor at the University of Manchester's School of Mathematics in 2006. His academic qualifications include a Dipl.-Ing. in Physics (1986-1992), Dr.techn. (1993-1997), and Habilitation (1998-2003), all completed at TU Wien. His research focuses on applied mathematics in fluid mechanics, specializing in asymptotic methods for boundary layer analysis including flow separation and transition phenomena. Additional expertise includes spectral methods for PDEs and industrial applications of coupled heat/mass/momentum transfer. Current investigations span transitional separation bubbles, boundary layer singularities, and multiphase flow modeling. His recent publications demonstrate strong emphasis on boundary layer theory, with 75% of his last 15 articles focused on separation phenomena, transition physics, and asymptotic methods. Industrial applications include fuel cell modeling and multiphase flow in champagne bottle dynamics. He has supervised 14 graduate students including Dominik Kuzdas, Florian Altmann, and Lukas Wagner. Student theses cover topics from transitional separation bubbles to fuel cell modeling and multiphase flows. He leads research activities within the Fluid Mechanics group at TU Wien, collaborating with institutions including the University of Manchester. Current projects involve numerical simulations of boundary layer transitions and industrial fluid applications.

• Medical Physics
• Biomedical Engineering
• Medical Imaging
• +۵ مورد دیگر

Johann Hummel is an Associate Professor at the Center for Medical Physics and Biomedical Engineering at the Medical University of Vienna. His work focuses on medical imaging quality assurance, phantom development, and image-guided therapy systems. Research Interests Dr. Hummel's research specializes in: Medical imaging physics for mammography and ultrasound Phantom design for diagnostic quality control 3D imaging and navigation systems Additive manufacturing applications in medical devices Image fusion techniques for surgical guidance Radiation dosimetry optimization Article Trends His publications demonstrate a strong focus on phantom development (especially for mammography and ultrasound) and additive manufacturing applications in medical imaging. Key trends include AI-enhanced diagnostics, hybrid image fusion systems, and precision improvements in image-guided interventions through advanced phantoms and error analysis. Labs & Teams He is affiliated with the Center for Medical Physics and Biomedical Engineering at Medical University of Vienna, a hub for developing advanced medical imaging solutions and navigation systems.

• Quantum Technology
• Quantum Computing
• Quantum Optics
• +۳ مورد دیگر

Lorenzo Carosini is a researcher affiliated with the Faculty of Physics, specializing in quantum technologies and photonics. His recent work focuses on advancing quantum computing and information systems through experimental and theoretical studies. Education: BSc and MSc in Physics Research Interests Carosini's research centers on quantum interference phenomena, photonic quantum state engineering, and quantum information processing. His work explores the purification of photon indistinguishability, programmable multiphoton systems, and heralded entangled state generation, contributing to foundational aspects of quantum computing and low-noise optical technologies. 2024 Research Trends His recent publications analyze quantum interference techniques, photonic GHZ state sources, and multiphoton control in single spatial modes, reflecting his focus on quantum optics and quantum nanophysics applications. Collaborations & Activities Active in academic events like the EPIQUE Annual Meeting 2024 and presentations on quantum interference, collaborating with researchers such as Philip Walther, Iris Agresti, and others.

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

Peter Schiansky is a researcher in the Faculty of Physics specializing in Quantum Optics, Quantum Nanophysics, and Quantum Information. Holding a BSc and M.Sc., he has maintained active research output from 2015 to the present with increasing publication frequency since 2021. Education: Bachelor of Science (BSc) Master of Science (M.Sc.) Research Focus: Schiansky's work centers on experimental quantum physics, particularly quantum time-reversal phenomena, photonic quantum computing implementations, and quantum cryptographic protocols. His research demonstrates a clear evolution from stellar convection simulations (2015) to cutting-edge quantum information experiments, with recent emphasis on quantum networks, secure communication, and quantum-enhanced machine learning. The experimental nature of his work is evident across all publications, utilizing optical systems to test fundamental quantum mechanics principles. Publication Trends: Analysis of his 15 most recent publications reveals dominant themes in quantum time-reversal (appearing in 7 articles), quantum cryptography (6 articles), and photonic implementations (12 articles). His work shows strong interdisciplinary connections between quantum foundations, information theory, and practical engineering applications, with increasing focus on real-world quantum technology deployment since 2022. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: The provided text contains no information regarding students, advising activities, or research grants. Labs and Teams: Schiansky operates within the Quantum Optics, Quantum Nanophysics and Quantum Information research group, evidenced by extensive international collaborations across his publications. His upcoming participation in a 2025 research rocket launch and satellite software workshop indicates involvement in space-based quantum experiments, while his scheduled visiting researcher position at DLR demonstrates integration into aerospace-focused quantum technology development teams.

• Quantum Information
• Quantum Gravity
• Quantum Foundations
• +۵ مورد دیگر

Časlav Brukner is a full Professor at the Faculty of Physics, University of Vienna, specializing in Quantum Optics, Quantum Nanophysics and Quantum Information. His research spans foundational quantum theory, quantum gravity, and quantum information processing, with significant contributions to quantum reference frames and relational quantum mechanics. His research interests focus on the intersection of quantum mechanics and gravity, quantum information theory, and quantum foundations. Key areas include: Quantum Reference Frames and Relational Quantum Mechanics Quantum Gravity and Spacetime Structure Quantum Information Processing Architectures Quantum Thermodynamics and Measurement Theory Analysis of his recent publications (2023-2025) reveals a strong emphasis on quantum reference frames, spacetime structure, and experimental quantum mechanics. His work increasingly bridges theoretical quantum foundations with experimental implementations, particularly in quantum gravity phenomenology and time-reversal experiments. Professor Brukner leads major research initiatives including: quantA: Quantum Science Austria (2023-2028) Beyond C: Quantum Information Systems Beyond Classical Capabilities (2019-2027) QISS: Quantum Information Structure of Spacetime (2019-2022) As an active academic leader, he organizes key events like the Helgoland 2025 conference commemorating 100 years of quantum mechanics and coordinates the Mini-Symposium on Quantum Thermodynamics. His laboratory focuses on experimental tests of quantum foundations and quantum information processing architectures.

Hubertus Haasمشاهده پروفایل

استاد

• Molecular Microbiology
• Fungal Pathogenesis
• Iron Homeostasis
• +۳ مورد دیگر

Hubertus Haas is a Professor and Head of the Institute of Molecular Biology at the University of Innsbruck. His work focuses on Molecular Microbiology , particularly iron homeostasis and siderophore metabolism in pathogenic fungi like Aspergillus fumigatus and Penicillium chrysogenum . He leads the HOROS II doctoral program and collaborates on EU initiatives like Eurofung . PhD in Biochemistry (1991, University of Innsbruck) Habilitation in Microbiology (1999, University of Innsbruck) His research spans four decades, with a core focus on: Siderophore biosynthesis and iron uptake mechanisms Nitrogen regulatory networks in fungi Non-coding RNA functions Antifungal drug target identification Fungal stress response pathways Molecular tools for fungal manipulation Key funded projects include: SupErA (2019-2022): Siderophore-iron uptake in Erwinia amylovora and Aspergillus fumigatus TRANSPAT (2009-2013): Transcriptional networks in filamentous pathogens Fuminomics (2008-2012): European Aspergillus research network He has received scientific recognition through: Höchst Award (1996) Brandl Award (1998)

Juan Luis Herrera Gonzalezمشاهده پروفایل

پژوهشگر

• Computing Continuum
• Microservice Orchestration
• Network Management
• +۷ مورد دیگر

Juan Luis Herrera Gonzalez is a Postdoctoral Researcher at the Distributed Systems Group within the Faculty of Informatics at Technische Universität Wien (TU Wien) . Previously affiliated with the University of Extremadura, University of Pisa, and University of Bologna, his research focuses on Computing Continuum systems, microservice orchestration, network optimization, and sustainability in distributed environments. PhD in Computer Science (University of Extremadura, 2023) Collaborator with 8 universities across 4 countries 50+ publications with 270+ citations His work addresses Quality of Service (QoS), economic cost reduction, and sustainability in domains such as IoT, 5G networks, and Digital Twins. Recent publications emphasize machine learning-driven SDN optimization, federated learning applications, and energy-efficient fog computing. He contributes to frameworks for adaptive analytics, xApp development, and latency minimization in hybrid infrastructures. His research portfolio spans from theoretical models using Mixed-Integer Linear Programming to practical implementations in testbeds for O-RAN and SDN-fog scenarios. Current projects include the Marie Skłodowska-Curie Actions fellowship, focusing on real-world deployments and developer-centric tools like EFCC (Emulation Framework for Cloud Continuum) and xSTART (xApp Simulation Environment).

• Renewable Energy
• Thermal Energy Storage
• Mathematical Modeling
• +۴ مورد دیگر

Nayrana Daborer-Prado is a Researcher at the University of Applied Sciences Upper Austria, affiliated with the ASiC Center of Excellence Energy in Wels. Her work bridges academic research and industrial application in sustainable energy systems, with active involvement in multiple European and national projects since 2018. Her educational background includes: Master of Science in Sustainable Energy Systems (University of Applied Sciences Upper Austria, 2017-2019) Bachelor of Science in Petroleum Engineering (Universidade Federal de Sergipe, 2010-2016) Dedicated to advancing thermal energy storage solutions, her research integrates mathematical modeling with experimental validation. Key focus areas include sorption heat storage using zeolite materials, ice storage system innovation, and hydrogen applications. Her work specifically addresses challenges in load management, seasonal storage, and renewable energy integration through novel approaches like microwave desorption techniques and data-driven modeling. This research directly supports decarbonization of heating/cooling systems in residential and commercial buildings. Analysis of her 2021-2024 publications reveals a consistent trajectory toward increasingly complex system integration, with growing emphasis on grid resilience and real-world implementation. Her work demonstrates strong interdisciplinary collaboration across material science, thermodynamics, and data analytics, consistently targeting practical engineering solutions for energy transition challenges. Nayrana actively contributes to major research initiatives including: BioH2Region: Renewable hydrogen competence region (Interreg Bavaria-Austria 2021-2027) ICE4H&C: Heating/cooling systems for single/multi-family homes (Future Energy Technologies 2024-2025) HyBRID: Hydrogen research center (IBW/EFRE 2023-2025) SorSens: Sensor-based state-of-charge determination for sorption storage (Climate Fund 2021-2022) RESINET: Grid resilience enhancement (IGJ Investment Fund 2021-2022) Her technical expertise is centered at the Research Center Wels, where she collaborates with cross-institutional teams on experimental validation, mathematical modeling, and system design. Current work focuses on scaling laboratory innovations to commercial applications through partnerships with industrial stakeholders in the Upper Austria energy sector.

Ulrich Bodenhoferمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +۴ مورد دیگر

Ulrich Bodenhofer serves as a full-time Professor for Artificial Intelligence at Upper Austria University of Applied Sciences (Hagenberg campus) since September 2020, while maintaining a part-time role as Chief Artificial Intelligence Officer at QUOMATIC.AI since June 2018. His institutional affiliations include Research Center Hagenberg AIST and multiple Centers of Excellence: Automotive/Mobility, Medical Technology/TIMed, Smart Production, Computed Tomography, and Digital Transformation within the Strength area of ICT - Information & Communication Technology. His academic credentials include a Habilitation (2003), Dr. techn. (1998), and Dipl.-Ing. (1996), all in Technical Mathematics from Johannes Kepler University Linz. His research focuses on applying fuzzy logic systems to practical problems across healthcare, industry, and finance. Key areas include: Machine Learning & Artificial Intelligence in Sales Analytics Healthcare and Bioinformatics applications Nondestructive Testing methodologies Financial Condition Monitoring systems His publication record shows consistent output since 1996 with 74 publications, demonstrating evolving expertise from foundational fuzzy logic research to current AI applications in medical imaging and industrial processes. Recent work emphasizes human-centered AI approaches, explainable systems, and practical implementations addressing real-world challenges in critical infrastructure and healthcare diagnostics. Bodenhofer actively leads and participates in significant research projects including HCAI (2022-2027), FLARE (2025-2027), and iReduce (2025-2026), securing funding from diverse sources including FWF - doc.funds.connect and KIRAS cooperative research programs. His collaborative approach spans multiple disciplines and institutions, reflecting the interdisciplinary nature of modern AI research. His professional activities include 54 scientific engagements through 2025, featuring numerous invited lectures on AI applications across finance, healthcare, and industrial contexts. He has supervised 9 academic works according to institutional records, mentoring the next generation of AI practitioners through hands-on research projects focused on practical implementation challenges.

Werner Christian Kurschlمشاهده پروفایل

استاد

• Human-Computer Interaction
• Assistive Technology
• Mobile Device Interaction
• +۵ مورد دیگر

Werner Christian Kurschl serves as a Professor at University of Applied Sciences Hagenberg, where he leads research in multiple cutting-edge technology domains. His institutional affiliations include the Assistive Technology Lab, Center of Excellence for Smart Production Digital Transformation, and the Strength area for ICT - Information & Communication Technology. He actively contributes to research in Human Interfaces & Virtual Environments, Knowledge Media and Engineering, and PEEC Smart Automation and Robotics. Professor Kurschl's research spans human-computer interaction with particular focus on assistive technologies , social robotics , and smart production systems . His work integrates user-centered design principles across multiple domains including office environments, construction sites, and accessibility solutions for visually impaired individuals. Recent projects demonstrate his expertise in developing practical applications of mobile robotics, multimodal interaction, and digital transformation for both industry and everyday settings. His most notable scientific recognition includes the Best Paper Award at HUCAPP 2018 for contributions to human-computer interaction theory and applications. Additional recognition comes through his active participation in prestigious academic activities including serving as reviewer for EUREKA Eurostars 3, International Conference on Industry 4.0 and Smart Manufacturing 2022, and as jury member for the OCG-Förderpreis. Professor Kurschl has secured significant research funding through multiple projects including MARIE (Mobile Robotic Assistance for Office Environments, 2023-2025), DIH.work (Digital Innovation Hub for SMEs, 2021-2024), and several completed projects related to smart production and human-centered workplace design. His research teams operate within the Assistive Technology Lab and collaborate extensively across European research networks.

• Information Retrieval
• Knowledge Graphs
• Natural Language Processing
• +۵ مورد دیگر

Florina Piroi is a Senior Scientist (Research Fellow) at the Center for Research Data Management (E058-06) within the Faculty of Informatics at TU Wien. Her research integrates information retrieval, knowledge graphs, and semantic technologies to advance exploratory search systems and research data infrastructure. Her core research interests include: Information Retrieval evaluation and validation methodologies Knowledge graph applications for domain-specific search Patent text mining and semantic technologies Medical concept normalization and entity linking Argumentative zoning in scientific documents Table extraction and classification systems Analysis of her recent publications reveals strong trends in applying machine learning to specialized IR tasks, particularly in patent analysis and medical text processing. Her work emphasizes robust evaluation frameworks and cross-lingual capabilities, with consistent contributions to the CLEF campaign and PatentSemTech workshops. Dr. Piroi actively collaborates with international researchers through the Network Lab at TU Wien and contributes to the university's Center for Research Data Management, focusing on semantic technologies for research data infrastructure and scholarly communication systems.

• Extracellular Vesicle Research
• Stem Cell Biology
• Regenerative Medicine
• +۷ مورد دیگر

Katharina Schallmoser is a Professor and 1st Senior Physician at the University Institute for Transfusion Medicine at Paracelsus Medical University. With over 373 publications and active research through 2025, she maintains a prominent position in transfusion medicine and regenerative therapies. Her work spans multiple disciplines with a strong focus on clinical applications of cellular therapies. Dr. Schallmoser's research interests center on extracellular vesicle biology, stem cell research, and regenerative medicine. Her work explores the therapeutic potential of platelet-derived factors, mesenchymal stromal cells, and extracellular vesicles for tissue regeneration. She investigates how these cellular components influence wound healing, angiogenesis, immunomodulation, and tissue repair processes across multiple organ systems. Her research has particular relevance for transfusion medicine applications and novel therapeutic development. Analysis of her recent publications reveals a strong trend toward understanding the functional mechanisms of extracellular vesicles, particularly the protein corona's role in enhancing regenerative functions. Her work spans virology (SARS-CoV-2 research), orthopedics (cartilage and bone regeneration), neuroscience (Alzheimer's disease connections), and ophthalmology (human-derived eye drops). The research demonstrates increasing interdisciplinary collaboration and translation of basic science toward clinical applications. Austrotransplant Preis als Co-Autorin (2009, 2011) Erwin Domanig Preis (ÖGBT) (2009, 2017, 2019) Numerous additional awards totaling 10 recognitions through 2023 Dr. Schallmoser leads multiple significant research projects including EV-TT (Extracellular Vesicles Theralytic Technologies Transfer Center), MUSIC (Multisystem Cell Therapy for Urinary Continence), and research on platelet factors in Alzheimer's disease. She serves as Principal Investigator or Co-PI on projects spanning from 2017-2023, demonstrating sustained funding and research leadership. Her collaborative approach is evident in her extensive co-authorship network across European institutions. She is actively involved in the EV-TT research center and collaborates closely with the working group on cellular therapies. Her leadership extends to organizing scientific workshops such as the EDHO Workshop on Eye Drops from Human Origin, demonstrating her role in shaping emerging therapeutic fields. The breadth of her research team collaborations spans hematology, neurology, orthopedics, and ophthalmology, reflecting the interdisciplinary nature of her work in regenerative medicine.

• Mechanics
• Multibody Dynamics
• Finite Element Methods
• +۴ مورد دیگر

Wolfgang Steiner is a Senior Lecturer at the University of Applied Sciences Upper Austria (FH Wels), affiliated with the Center of Excellence Automotive/Mobility. His research focuses on multibody dynamics, finite element methods, optimization, and stability theory in mechanical systems. Primary Affiliation: University of Applied Sciences Upper Austria (FH Wels), Center of Excellence Automotive/Mobility External Position: Lecturer at TU Vienna (since 1997) His work spans theoretical mechanics and applied engineering, particularly in satellite dynamics and industrial robotics. Recent projects include KBMKSZ (2024-2026) and IOMMS (2023-2026), emphasizing advanced computational techniques for multibody systems. Research trends highlight the integration of adjoint methods for gradient optimization, application of multibody dynamics to biomedical problems (e.g., tumor drug dosage), and development of novel simulation frameworks for industrial gear transmissions. His publications demonstrate cross-disciplinary relevance in mechanics, aerospace, and computational modeling. Scientific Recognition : 2020: Best Paper Award He actively supervises research projects and participates in academic activities such as international conferences and committee memberships.

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Marko Orsolic is a Researcher at University of Applied Sciences Wels, operating within the DI Research Center Wels Center of Excellence for Smart Production. He currently serves as Co-Investigator on the Interreg-funded ReBi project (2023-2026), driving resource-efficient innovations in additive manufacturing across the Bavarian-Austrian border region. Academic Credentials: BSc in Engineering MSc in Engineering Diplom-Ingenieur (DI) degree Research Focus: Specializing in Additive Manufacturing , Orsolic's work centers on Selective Laser Melting of tool steels. His investigations into process parameters (energy density, flux density) and geometric factors (wall thickness) directly impact material properties of high-precision components. This research bridges industrial manufacturing challenges with materials science to optimize production efficiency and component reliability. Publication Trends: His upcoming 2025 paper exemplifies a consistent research trajectory examining SLM parameter-property relationships in tool steels. The work demonstrates growing emphasis on sustainable manufacturing through precise control of energy inputs and geometric constraints—key for aerospace and tooling industries requiring high-performance components. Research Funding: As active Co-Investigator on the €2.1M ReBi project (Interreg Bavaria-Austria 2021-2027), he accesses substantial resources for cross-border collaborative R&D. This funding enables advanced materials testing and process development with direct industry applications in resource-constrained manufacturing. Research Environment: Operating within the DI Research Center Wels Center of Excellence for Smart Production, Orsolic contributes to Austria's strategic hub for advanced manufacturing innovation. The center specializes in industrial implementation of smart production technologies, with particular strength in metal additive processes and precision engineering applications.