جستجوی استاد راهنمای دانشگاهی

• Aquatic Ecology
• River Restoration
• Ecosystem Connectivity
• +۳ مورد دیگر

Dr. Andrea Funk is a researcher at the Institute of Hydrobiology and Aquatic Ecosystem Management within the Department for Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her work focuses on river-floodplain systems, connectivity science, and ecological restoration in dynamic riverine landscapes. Key Research Areas: Aquatic ecology, network-based connectivity analysis, eDNA metabarcoding for biodiversity assessment, floodplain restoration, and ecosystem service evaluation. Projects: She leads and participates in initiatives like DANuSediment, MERLIN, and INNORIO, addressing sustainable sediment management, river network dynamics, and freshwater restoration scaling. Scientific Contributions: Andrea Funk's publications emphasize connectivity-driven ecosystem functioning, fish metacommunity responses to fragmentation, and network modeling of floodplain habitats. Her work bridges ecological theory with practical river management frameworks. Advising: She supervises students like Peter Bader (amphibian metacommunities) and Sonia Recinos (network-based restoration analysis), integrating advanced molecular and computational methods.

Khrystyna Levchenkoمشاهده پروفایل

پژوهشگر

• Nanomagnetism
• Magnonics
• Spintronics
• +۷ مورد دیگر

Khrystyna Levchenko is a researcher at the University of Vienna's Faculty of Physics, specializing in nanomagnetism and magnonics. Her work focuses on the development of functional nanoscale materials, particularly Yttrium-Iron Garnet (YIG) films and ferromagnetic semiconductors, for spintronic and telecommunications applications. Education PhD in Physics of Semiconductors from the Institute of Physics, Polish Academy of Sciences (2013–2019) BSc/MSc in Automation & Computer-Integrated Technologies from Ternopil National Technical University (2008–2013) Research Interests Low-temperature magneto-transport measurements Ferromagnetic semiconductors Spintronics and microstructured surfaces Advanced characterization techniques (HR-XRD, TEM, SQUID) Collaborative Projects FWF-funded project on nanoscale YIG films PRELUDIUM grant (NCN) for ferromagnetic semiconductor research Technical Expertise Hardware-software automation for magnetic research Brillouin light scattering simulations Network engineering (Cisco certification)

Andreas Baumannمشاهده پروفایل

استادیار

• Computational Linguistics
• Language Evolution
• Phonotactics
• +۴ مورد دیگر

Andreas Baumann is an Assistant Professor at the Department of German Studies within the Faculty of Philological and Cultural Studies at the University of Vienna. His research focuses on computational linguistics, phonotactics, lexical development, and digital humanities, with a particular emphasis on modeling language evolution and sociolinguistic dynamics using epidemiological and computational frameworks. Key Research Areas: Computational linguistics, phonotactics, lexical innovations, language evolution, digital humanities, sociolinguistics, and emotional language characteristics. Projects: Currently leading the DISLINGDIV project (2024–2027) on digitization's impact on linguistic diversity and previously involved in Finale Konsonantencl. im Mittel (2014–2018). Collaborations: Works with institutions like the University of Vienna and external partners in computational linguistics and digital humanities. Publications: Over 40 publications since 2012, including peer-reviewed journals, conference proceedings, and book contributions on topics like lexical transmission, consonant clusters, and digital hate speech. Activities: Active in science communication, delivering public talks on language's role in inclusion/exclusion and presenting research at conferences like KONVENS 2024 and Evolang XV. Media Engagement: Featured in public media discussions on digital humanities and internet-driven language change.

Patrick Pazourمشاهده پروفایل

پژوهشگر

• Virtual Reality
• Machine Learning
• Game Design
• +۴ مورد دیگر

Patrick Pazour is an active researcher in the Faculty of Computer Science with dual affiliation in the Education, Didactics and Entertainment Computing Research Group and the Cooperative Systems Research Group. Holding BSc and MSc degrees, he has maintained a consistent publication record from 2018 through 2025 with increasing research output in recent years. His research spans multiple domains of computer science with a strong emphasis on virtual reality applications. Key research interests include: Virtual Reality systems and applications (100% research footprint) Machine Learning integration in interactive systems (50% research footprint) Game Design and development frameworks (50% research footprint) Artificial Intelligence applications in user interfaces (50% research footprint) Software application design processes (50% research footprint) His publication trends show a clear evolution from foundational VR work in conferencing (2018) toward increasingly specialized applications in therapy, education, and game creation. Recent publications demonstrate strong interdisciplinary connections between computer science, physics education, pain management, and entertainment computing. Notable scientific contributions include: Development of frameworks for VR therapy applications (Minogrid, 2022) Exploration of VR for pain management (PAIN-EX, 2023) Advancements in physics education through virtual laboratories (PhyLab, 2024) Innovations in machine learning for VR interaction (Hands Up!, 2024) Creation frameworks for board game development (Prototypical, 2025) Pazour maintains active collaborations with researchers including Hlavacs, Martinek, and others across multiple institutions. His work demonstrates strong connections between theoretical computer science and practical applications in education, healthcare, and entertainment domains.

Gerald Hiebelمشاهده پروفایل

پژوهشگر

• Geographic Information Systems (GIS)
• Ontological Data Models
• Semantic Information Integration
• +۳ مورد دیگر

Gerald Hiebel is a Research Associate at the Institute of Archaeology, University of Innsbruck. Since 2018, he has led and contributed to multiple projects including Information Integration for Prehistoric Mining Archaeology , Text Mining Medieval Mining Texts , and Virtual Exhibition in All Dimensions . His work is funded by institutions like the Austrian Science Fund (FWF), Austrian Academy of Sciences (ÖAW), and the European Union. Current Projects : Virtual Exhibition in All Dimensions (Project Management), Inventaria (Principal Investigator), Text Mining Medieval Mining Texts (Principal Investigator) Research Interests : GIS, Ontological Data Models, Semantic Integration, Archaeological Information Modeling Recent Publications focus on spatiotemporal extensions of CIDOC-CRM, FAIR data principles for mining archaeology, and semantic modeling of excavation data. He has developed knowledge graphs connecting cultural resources with spatiotemporal places and contributed to standards like CRMgeo and CRMarchaeo. Scientific Awards : Marie Curie Fellowship, Erwin Schrödinger Fellowship Collaborations : University of Southern California, ICS-FORTH, European Association of Archaeologists

Stephan Holzerمشاهده پروفایل

پژوهشگر

• Distributed algorithms
• Graph theory
• Wireless networks
• +۳ مورد دیگر

Stephan Holzer is a computer scientist and mathematician currently affiliated with the Massachusetts Institute of Technology , where he works within the Computer Science and Artificial Intelligence Laboratory (CSAIL) . He has held postdoctoral positions at MIT (2013–2017) and visiting roles at Harvard and ETH Zurich. His expertise lies in the theory of distributed systems, with a focus on efficient algorithms for networks. Education: Stephan earned his Diplom (M.Sc.) and B.Sc. from TU Munich within Germany’s TopMath excellence program (2006–2008), followed by a Ph.D. in Computer Science from ETH Zurich (2009–2013) under the supervision of Prof. Roger Wattenhofer. Research Interests: His work spans distributed algorithms , graph theory , wireless communication , communication complexity , and network optimization . He particularly explores how devices in large-scale networks can compute distances, disseminate information, and coordinate despite interference and limited resources. Publications & Impact: Stephan has published extensively in premier venues such as PODC, DISC, SODA, and TCS. His recent work addresses security of crypto-currencies, leader election in wireless models, and approximation algorithms for shortest-path problems, reflecting a blend of theoretical rigor and practical relevance. Scientific Awards & Honors: Best Paper Award, 24th SIROCCO 2017 Member, Young Academy | Mainz 2016 Nominated delegate, Global Young Scientist Summit 2016 Participant, Heidelberg Laureate Forum 2013 Teaching & Mentoring: Stephan co-created and lectures the MIT graduate course 6.S899 Distributed Graph Algorithms with Profs. Mohsen Ghaffari and Nancy Lynch. He has mentored numerous undergraduate and master’s students through UROP, UAP, and thesis projects at MIT and ETH Zurich. Service: He has served on the program committees of SPAA, ICDCN, SSS, SOFSEM, and ALGOSENSORS, and regularly reviews for top-tier journals and conferences in distributed computing and algorithms.

Alfredo Soldatiمشاهده پروفایل

استاد

• Turbulent Multiphase Flow
• Fluid Mechanics
• Heat Transfer
• +۲ مورد دیگر

Alfredo Soldati serves as University Professor of Fluid Mechanics at Vienna University of Technology since 2016 and holds a part-time Full Professor position at the University of Udine since 2007. His international experience includes visiting appointments at the Kavli Institute for Theoretical Physics, Scuola Superiore Sant'Anna, and École Polytechnique Fédérale de Lausanne. His educational background features a Dr.-Ing. PhD in Chemical Engineering from the University of Udine (1989-1993) followed by research at UC Santa Barbara (1991-1995). Soldati's research centers on turbulent multiphase flows with environmental and industrial applications, specializing in droplet, bubble, and fiber dynamics in turbulence. His work combines advanced computational modeling with experimental techniques including the TU Wien Turbulent Water Channel facility, addressing fundamental questions of interfacial phenomena and heat transfer in complex flows. Analysis of his 15 most recent publications (2022-2024) reveals consistent focus on multiphase turbulence in channel flows, particularly oil-water systems and particle-laden flows. The research demonstrates strong emphasis on interfacial wave propagation, droplet deformation mechanisms, and fiber transport dynamics with applications spanning environmental pollutant dispersion to industrial process optimization. His distinguished recognition includes: Freeman Scholar Award, ASME, 2020 Fellow of EUROMECH, 2020 International Prize and Gold Medal, Accademia delle Scienze di Torino, 2018 Lewis F. Moody Award, ASME, 2015 Fellow of the American Physical Society, 2013 Robert T. Knapp Award, ASME, 2007 Soldati actively supervises graduate research with ten documented theses covering turbulence modeling, multiphase flow experiments, and computational fluid dynamics. His work receives support from national and international funding bodies including the Austrian Science Fund and European research programs, facilitating collaborations with institutions across Europe and North America. He leads the research group at TU Wien's Institute of Fluid Mechanics and Heat Transfer, operating the Turbulent Water Channel facility and contributing to the 'Network Lab' for advanced fluid dynamics research, with current projects focusing on micro-plastic transport and industrial multiphase flow applications.

• Partial Differential Equations
• Mathematical Biology
• Quantum Mechanics
• +۴ مورد دیگر

Peter Markowich is a Professor at the Department of Mathematics, Faculty of Mathematics, with a prolific research career spanning over three decades. His work bridges Partial Differential Equations (PDEs) , Mathematical Biology , and Quantum Mechanics , focusing on modeling complex systems across disciplines. Key research themes include biological network formation (e.g., blood vessel and plant vein structures), nonlinear Schrödinger equations for quantum systems, and reaction-diffusion dynamics in chemotaxis and pedestrian flow. Recent publications (2023-2025) explore self-regulated biological transportation structures, tensor PDE models, and orbital stability of standing waves in fractional quantum systems. 2025 : Condition number analysis in biological network PDEs 2024 : 1D entropy dissipation models 2023 : Gradient flows for network emergence and Hughes’ pedestrian model theory His methodological contributions include numerical schemes for multiscale problems (e.g., XFEL simulations) and analytical frameworks for existence/uniqueness in singular PDEs. Collaborations span global institutions, with co-authors like Y. Cho, C. Sparber, and H. Hajaiej.

• Critical Data
• Feminist AI
• Data Art
• +۳ مورد دیگر

Manuela Naveau is a Professor for Critical Data at the University of Art and Design Linz, specializing in Interface Cultures. As an artist, curator, and lecturer, her work critically examines algorithmic systems, data ethics, and the societal implications of AI. Key exhibitions curated: Code and Algorithms. Wisdom in a Calculated World (Madrid/Brussels), Resonating Selves (Ars Electronica), and Hybrids . Research focuses on algorithmic bias, feminist AI, and human-machine relationships, often through collaborative projects with institutions like Eticas Consulting and the Barcelona Supercomputing Center. Her publications include articles on Interface Cultures and a monograph on internet-based art and participation. She actively participates in panels, juries, and public lectures, advocating for critical perspectives in technology-driven societies.

• Global Optimization
• Interval Arithmetic
• Mathematical Modeling
• +۵ مورد دیگر

Hermann Schichl is an Associate Professor at the University of Vienna , affiliated with the Faculty of Mathematics and Department of Mathematics. His work spans mathematical modeling, global optimization, and numerical analysis.

• Radiation Therapy
• Medical Physics
• Intraoperative Electron Radiation Therapy
• +۴ مورد دیگر

Christoph Gaisberger is a Medical Physicist at the University Clinic for Radiotherapy and Radio-Oncology and the University Institute for Technology Development in Radiation Therapy at Paracelsus Medical University in Salzburg, Austria. With over 30 publications spanning from 2008 to 2025, Dr. Gaisberger has established himself as a significant contributor to the field of radiation therapy physics, particularly in intraoperative techniques and dose calculation methodologies. Dr. Gaisberger's research primarily focuses on Intraoperative Electron Radiation Therapy , Dose Calculation , and Image Guided Radiation Therapy . His work spans multiple cancer types including Rectal Cancer , Prostate Cancer , and breast cancer applications. A key aspect of his research involves developing and implementing advanced technical approaches for real-time dose calculation and image guidance during radiation procedures. Analysis of Dr. Gaisberger's publication history reveals a strong trend toward integrating artificial intelligence and advanced computational methods into radiation therapy. His recent work (2023-2025) demonstrates increasing focus on deep learning applications for medical image segmentation, particularly using U-Net variants with Transformer and LSTM approaches for Cone-Beam CT segmentation. There's also a clear emphasis on clinical outcomes research, with multiple studies examining toxicity profiles, cosmetic outcomes, and quality of life metrics following various radiation therapy approaches. 1st ÖGRO Prize 2015 2nd Prize ÖGRO 2014 Dr. Gaisberger has been actively involved in research collaborations across multiple institutions, often working with clinical teams to translate technical advances into patient care improvements. His 2023 organization of the ÖGMP Annual Conference demonstrates his leadership role in the medical physics community. While specific grant information isn't detailed in the available text, his consistent publication record suggests successful research funding support. Based on his institutional affiliations, Dr. Gaisberger likely works within the radiation oncology physics team at the Salzburg General Hospital (Landesklinikum Salzburg), which partners with Paracelsus Medical University. His research suggests involvement with teams developing intraoperative radiation therapy protocols and image guidance systems for precision radiation delivery.

• Bioinformatics
• Machine Learning
• Spectral Library Search
• +۵ مورد دیگر

Sebastian Dorl is a researcher at the Fachhochschule Oberösterreich (University of Applied Sciences Upper Austria) , affiliated with the Research Center Hagenberg and the ASiC (Applied Systems and Cybernetics) group. His work spans bioinformatics, machine learning, and data-driven modeling, with a focus on proteomics data analysis, spectral library search algorithms, and industrial process optimization.

• Cyber-Physical Systems
• Automata Theory
• Machine Learning
• +۳ مورد دیگر

Martin Tappler is a researcher at Vienna University of Technology's Faculty of Electrical Engineering and Information Technology, working in the Cyber-Physical Systems research area (Institute of Computer Engineering). Holding a technical doctorate (Dr.techn.), he serves as a Project Assistant conducting advanced research at the intersection of formal methods and machine learning. His research focuses on automata theory , neural network semantics , and reinforcement learning systems . Tappler's work bridges theoretical computer science with practical applications in cyber-physical systems, particularly exploring how formal models can enhance machine learning approaches. His methodology combines rigorous mathematical frameworks with empirical validation in complex decision-making environments. Tappler's recent publications demonstrate significant contributions to understanding the relationship between neural network architectures and formal language structures, as well as developing novel testing methodologies for reinforcement learning systems. His research shows a clear trajectory toward creating more reliable and interpretable AI systems for safety-critical applications. As a researcher at TU Wien, Tappler collaborates with colleagues across multiple institutions, as evidenced by his co-authored publications with researchers from various academic backgrounds. His work appears in prominent computer science venues focusing on formal methods and machine learning.

Georg Weissenbacherمشاهده پروفایل

استاد

• Formal Methods in Systems Engineering
• Software Verification
• Concurrency
• +۵ مورد دیگر

Georg Weissenbacher is a Professor at Vienna University of Technology , affiliated with the Network Lab and the research area of Formal Methods in Systems Engineering . His academic work focuses on software verification , formal methods , and concurrent systems . University: Vienna University of Technology Research Area: Formal Methods in Systems Engineering Academic Rank: Professor Education: D.Phil. Univ.Prof. Dipl.-Ing. Research Interests : Weissenbacher's work centers on formal verification techniques for software and hardware systems. Key areas include: Hyperproperties : Analyzing properties of systems involving multiple execution traces, such as security and robustness. Model Checking : Applying bounded model checking to automotive software (e.g., AUTOSAR components) and concurrent systems. Symbolic Execution : Leveraging symbolic execution for bug detection in programs with complex behaviors like speculative execution. Concurrency Bugs : Formalizing heisenbugs and developing methods to extract safe thread schedules from incomplete model checking results. Automated Reasoning : Improving interpolation-based techniques and SAT solvers for program analysis and fault localization. Publication Trends : His recent articles (2024-2025) emphasize symbolic execution for hyperbug detection, machine learning in security verification, and automotive software validation. Earlier works (2023-2021) explore model checking , mutation testing , and concurrent system analysis . Projects : He leads initiatives such as: Abstraction-based Parameterized TLA Checker Bit-level Accurate Reasoning and Interpolation Tools for Concurrent and Distributed Systems LogiCs-Stipendien (Formal Methods in Computer-Aided Design) Collaboration and Supervision : Weissenbacher co-edits conference proceedings (e.g., FMCAD 2023 , CAV 2018 ) and supervises students in formal verification, including Andreas Fellner (model-based mutation testing), Emmanuel Pescosta (speculative non-interference), and Tobias Nießen (hyperproperty counterexamples).

• Real-Time Systems
• Worst-Case Execution Time (WCET) Analysis
• Single-Path Code Optimization
• +۳ مورد دیگر

Peter Puschner is an Associate Professor at Vienna University of Technology (TU Wien), affiliated with the Cyber-Physical Systems Research Area. His work focuses on real-time systems, worst-case execution time (WCET) analysis, and time-predictable code execution. Key research areas: Real-Time Systems, Single-Path Code, Time-Triggered Networks, Cache Architectures Advisor to multiple thesis students including Michael Platzer and Bekim Cilku Co-developer of tools like the platin Toolkit for WCET analysis Recipient of Best Paper Award at ECRTS 2015 for Requirement Semi-formalization Methodology for SoC Design