جست‌وجوی استاد و پژوهشگر

• Pharmaceutical Sciences
• Pharmacology
• Toxicology
• +۵ مورد دیگر

Sarah Stellnberger is a Researcher in the Department of Pharmaceutical Sciences within the Faculty of Life Sciences, actively advancing interdisciplinary research at the intersection of pharmaceutical sciences, polymer technology, and computational modeling. Her work addresses critical challenges in drug delivery systems and environmental polymer science. Education: Master of Science (Mag.) Bachelor of Science (BSc) Her research spans pharmaceutical sciences, pharmacology, toxicology, drug delivery systems, nanotechnology, and polymer science, with specialized focus on blood-brain barrier penetration mechanisms, PET imaging applications, and biodegradable polymer development. She employs innovative machine learning techniques to integrate in silico and experimental data for CNS drug optimization while investigating environmental impacts of micro- and nanoplastics. Recent publications demonstrate a cohesive research trajectory merging computational pharmaceutical science with environmental toxicology, particularly through machine learning-driven blood-brain barrier studies and biodegradable polymer production. This work establishes significant methodological bridges between neuropharmacology and sustainable materials science. Stellnberger collaborates extensively within pharmaceutical research networks, contributing to biopharmaceutical profiling of natural compounds like Morus alba root bark and advancing standardized databases for molecular parameter analysis. Her team-based approach integrates experimental and computational expertise to solve complex problems in drug delivery and environmental polymer science.

• Metabolomics
• Mass Spectrometry
• Metabolite Analysis
• +۴ مورد دیگر

Lisa Panzenböck is a researcher in the Faculty of Chemistry, Department of Analytical Chemistry, specializing in advanced mass spectrometry techniques for metabolomics applications. Her work contributes to UN Sustainable Development Goals through innovative analytical chemistry approaches. Her research focuses on metabolomics methodology development, with particular expertise in Metabolite analysis and quantification Isotope dilution techniques Sphingolipid and ceramide chemistry Mass spectrometry instrumentation development Her publication record shows significant contributions to the field, with research trends indicating a strong focus on improving metabolomics workflows, developing novel mass spectrometry approaches like TRAM (Triple acquisition mass spectrometry), and applying these techniques to biological systems including plant science, microbiology, and medical applications. Her scientific contributions include: Development of microbeMASST for microbial metabolomics Innovations in isotope dilution methodology Advancements in TRAM mass spectrometry techniques Applications in plant stress response and glioblastoma research Lisa actively participates in scientific discourse through numerous presentations, including as an invited speaker on TRAM methodology. Her collaborative network is extensive, working closely with Gunda Köllensperger's research group and multiple international collaborators across diverse scientific domains. Her laboratory work centers on analytical chemistry instrumentation, particularly mass spectrometry platforms for metabolomics applications, with recent focus on ZenoTOF 7600 technology and development of specialized analytical workflows for various biological samples.

• Cultural Anthropology
• Ethnographic Filmmaking
• Migration Studies
• +۵ مورد دیگر

Sanderien Verstappen is an Assistant Professor in the Department of Social and Cultural Anthropology at the Faculty of Social Sciences. Her work focuses on ethnographic filmmaking, migration studies, gender dynamics, and digital anthropology. She explores topics such as transnational migrant practices, urban cycling culture, and the intersection of technology with human behavior. Research Interests: Ethnographic film production, digital ethnography, migration and diaspora studies, gender roles in mobility, and sustainable urban development. Her recent projects include analyzing the impact of displacement on remittance economies and examining how online platforms shape community identities. Notable Awards: Cycling in Europe and Asia (2023) frauen in Fahrt: A project on cycling education for migrant women in Vienna (2023) Key Projects: MC PERFORM: Investigating urban activists’ roles in online/offline spaces (2024–2026) We:Design: Digital empowerment initiatives for youth in the job market (2022–2023) Her recent publications (2022–2025) address themes like cycling’s role in urban planning, interdisciplinary design challenges, and transnational migration impacts. She frequently collaborates with international researchers and has been featured in media outlets discussing anthropology’s societal relevance.

• Machine Learning
• Computational Neuroscience
• Data Mining
• +۳ مورد دیگر

Lena Bauer is a researcher affiliated with the Faculty of Computer Science at the University of Vienna, specifically within the Research Group Data Mining and Machine Learning . Her work bridges computational methods with neuroscience, focusing on applications in mental health. She holds degrees including DI Dr.techn. (PhD in Technical Sciences) and BSc. Research Interests: Bauer’s research integrates machine learning and data mining techniques to analyze complex biological systems, particularly brain networks. She explores multimodal data integration, clustering algorithms, and their application to neuroimaging (e.g., fMRI) for understanding disorders like Major Depressive Disorder. Key themes include quantifying neural synchronization, developing autoencoder-based models, and improving clustering methodologies. Collaborations: Bauer collaborates internationally on projects involving computational neuroscience and mental health. Recent activities include presenting work on Kuramoto model applications to fMRI data at conferences. Labs & Teams: She contributes to the University of Vienna’s Data Mining Group, which focuses on clustering, causality analysis, and big data applications.

Erich Schikutaمشاهده پروفایل

دانشیار

• Cloud Computing
• Information and Database Systems
• Parallel and Distributed Computing
• +۳ مورد دیگر

Erich Schikuta is an associate professor at the University of Vienna's Faculty of Computer Science and heads the Research Group Workflow Systems and Technology. He has held multiple administrative roles, including Vice Dean and Curricular Commission Head. His research focuses on Cloud Computing, Parallel/Distributed Systems, Neural Networks, and Database Systems, with over 200 peer-reviewed publications. Education: Studied Computer Science, Business Informatics, and Mathematics at the University of Technology Vienna and University of Vienna. Holds titles including Dipl.-Ing., Dr., and Berufstitel Universitätsprofessor (2009). Research interests emphasize Utility Computing, Cloud Resource Optimization, and Neural Network Simulation. Notable contributions include ranking 25th globally in Cloud Computing productivity and developing frameworks like N2Sky for neural network-as-a-service. Key awards include the 2011 Best Paper Award and 2010 Best Teacher Award. Active in international collaborations, he serves as a European Commission evaluator (FP5-FP7/H2020) and chairs program committees. Labs/Teams: Leads the Research Group Workflow Systems and Technology. Involved in projects like BIG-Business (Grid Infrastructure) and 'Änderung in kollab.Prozessen' (2011-2016).

Tobias Madlمشاهده پروفایل

دانشیار

• Structural Biology
• Biophysics
• Cell Biology
• +۹ مورد دیگر

Tobias Madl is an Associate Professor at the Institute of Molecular Biology and Biochemistry, Medical University of Graz, Austria. He leads the Division of Medicinal Chemistry and conducts interdisciplinary research at the intersection of structural biology, biophysics, and medicine. His work focuses on disordered proteins, signaling pathways (e.g., Wnt/p53), and their roles in diseases like cancer and neurological disorders. 1998-2004: Studies of Chemistry, Physics, History, and Computational Sciences, University of Graz 2004-2007: PhD thesis at University of Graz (DOC Fellowship of ÖAW) 2007-2010: Postdoc in integrative structural biology at Technical University Munich/Helmholtz Center Munich (FWF Schrödinger Fellowship, EMBO-LTF) 2010-2011: Postdoc at Utrecht University 2012: APART Fellow at Utrecht University/University of Graz 2012-2016: Emmy Noether and BioSysNet research group leader, TUM Junior Fellow (Technical University Munich, Helmholtz Zentrum Munich) Madl’s research explores molecular mechanisms of disordered proteins in signaling networks, including their post-translational modifications and interactions. His lab employs NMR spectroscopy, SAXS/SANS, mass spectrometry, and computational modeling to study dynamic biomolecular complexes, particularly in the Wnt signaling pathway and RNA-binding protein biogenesis. He has been recognized through prestigious fellowships and is a full member of BioTechMed-Graz. His students include Hermann Habacher, Magdalena Lang, Aneta Lenard, Sinem Usluer, and Qishun Zhou.

Ulrich Stelzlمشاهده پروفایل

استاد

• Molecular Interaction Networks
• Functional Genomics
• Protein-Protein Interaction
• +۵ مورد دیگر

Ulrich Stelzl is a full Professor at the University of Graz , leading the Otto Warburg Laboratory for Molecular Interaction Networks . His research bridges genomics and proteomics to study how genetic variation and post-translational modifications influence protein interactions in diseases like cancer. He also serves as a faculty member at BioTechMed-Graz and heads the Department of Pharmaceutical Chemistry. Education: Technical University of Vienna (Technical Chemistry/Biochemistry), ETH Zurich, Max Planck Institute Berlin (PhD) His work combines high-throughput functional genomics , computational biology, and biochemical methods to map molecular networks. Key areas include deep mutagenesis for nucleotide-to-protein knowledge gaps, network biology for disease mechanisms, and phosphorylation/methylation effects on cellular phenotypes. Recent publications highlight his focus on yeast-based kinase arrays , ATGL lipid regulation , and polyamine metabolism in aging. His lab's 2024 studies on spermidine and autophagy represent major contributions to longevity research. Scientific Awards Erwin Schrödinger Award (2008) Stelzl advises PhD student Sarah Masser and collaborates with international teams. His lab explores subcellular protein dynamics through the DYNIMO project, integrating computational and experimental approaches.

• Molecular Dynamics
• Soil Science
• Clay Mineral Interactions
• +۲ مورد دیگر

Edgar Galicia Andres is a researcher at the Institute for Molecular Modeling and Simulation within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on computational investigations of molecular-scale interactions across soil and biological systems. Research Interests : Mechanistic modeling of soil organic matter stabilization Clay-water interface polarization effects KRAS protein conformational dynamics Organo-mineral microaggregate simulations Adsorption energy landscapes Scientific Contributions span molecular dynamics analyses of soil systems, predictive modeling of affinity/selectivity in mineral-organic interactions, and computational biophysics of membrane proteins. His recent work addresses artifacts in free energy calculations for drug discovery applications. Professional Activities include presentations at international symposia on topics ranging from Alpine biointerfaces to synthetic bioarchitectures. He collaborates with research teams in Austria, Mexico, and the UK.

• 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.