Find Academic Supervisors

• Mixed Methods Research
• Education Science
• Research Methodology
• +2 more

Judith Schoonenboom is a Professor at the University of Vienna and Deputy Head of the Department of Education. She teaches courses in quantitative and interpretive methodologies, research design, and PhD/master's thesis supervision, including seminars like 'Methodology and Research Design' and 'Quantitative Methodologies in Education Science'. Her academic responsibilities reflect a focus on advanced research methodologies in educational contexts. Schoonenboom's research centers on mixed methods and multimethod approaches in education science, emphasizing methodological innovation, data integration, and theoretical development. Key interests include the interplay between qualitative and quantitative research, design patterns in mixed methods, and strategies for enhancing inferential rigor in social science studies. Her work bridges epistemological frameworks with practical research applications. Her scholarly publications demonstrate a consistent focus on advancing mixed methods research, particularly through innovations in design, integration techniques, and theoretical reflection. Recent works explore causal inference in qualitative research, visualization of methodological interactions, and performative approaches, highlighting trends toward interdisciplinary synthesis and practical methodology refinement.

• Edge Computing
• Fog Computing
• Cloud Computing
• +4 more

Dragi Kimovski is a Habilitated Assistant Professor in Distributed Systems at Klagenfurt University, Austria, focusing on Edge Computing and AI. He previously held roles at the University of Innsbruck and the University of Information Science and Technology in Macedonia. His research spans Edge/Fog/Cloud computing, multi-objective optimization, and high-performance computing. He has coordinated major projects like 6GContinuum and KärtnerFog, and led initiatives such as DataCloud and ASPIDE. His teaching includes courses on Distributed Computing, Cloud Computing, and IoT. He is the co-creator of the Carinthian Computing Continuum and maintains a blog on Edge AI World. His work emphasizes sustainable and efficient computing solutions for emerging technologies. Education: Not explicitly listed in the provided text. Research Interests: Edge Computing, Fog Computing, Cloud Computing, Multi-objective Optimization, High-Performance Computing, AI in Distributed Systems. His work addresses challenges in resource management, latency reduction, and scalability across heterogeneous environments, with applications in healthcare, IoT, and 6G networks. Projects: 6GContinuum (Coordinator): Focuses on AI services over 6G networks. KärtnerFog (Scientific Coordinator): Develops adaptive Fog infrastructures over 5G. DataCloud (WP5 Leader): Manages Big Data pipelines on the Computing Continuum. ASPIDE (Scientific Coordinator): Advances exascale programming models for data processing. Teaching: Klagenfurt University: Courses include Distributed Computing, IoT, Cloud Computing, and Advanced Programming. University of Innsbruck: Taught Advanced Parallel and Distributed Systems. University of Information Science and Technology: Courses in High-Performance Computing and Network Architectures. Labs/Teams: Co-created the Carinthian Computing Continuum, an automated SDN testbed for Edge computing research. Active in interdisciplinary teams addressing extreme data processing and sustainable computing.

• Wildlife management
• Beaver ecology and conservation
• Cormorant population studies
• +5 more

Rosemarie Parz-Gollner is a distinguished Professor at the Institute of Wildlife Biology and Game Management, Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). With a career spanning over four decades since earning her PhD in 1984, she has established herself as a leading expert in wildlife management and conservation biology in Austria. Her work focuses on the ecology and management of key species including beavers, cormorants, and otters, with particular emphasis on human-wildlife conflict resolution and population monitoring. Her research interests encompass wildlife management, beaver ecology and conservation, cormorant population dynamics, otter research, bird population monitoring (particularly grey herons), conservation genetics, and ecosystem management. Dr. Parz-Gollner has led numerous research projects funded by Austrian federal states, the European Commission, and other institutions, addressing critical wildlife management challenges across Austria. Analysis of her recent publications reveals a strong focus on genetic studies of beaver populations, continued monitoring of waterbird populations (particularly cormorants and grey herons), and innovative approaches to studying otter ecology through non-invasive genetic sampling and stable isotope analysis. Her work demonstrates a consistent commitment to applied conservation science with direct relevance to wildlife management policy. Among her notable scientific achievements is the Österreichischer Staatspreis für Angewandte Ökosystemforschung MAB-Projekt Altenwörth, BMWF, awarded in 1990, recognizing her early contributions to applied ecosystem research. Dr. Parz-Gollner has actively supervised numerous graduate students, guiding doctoral and master's theses on diverse wildlife topics. Her research has been supported through various grants focused on wildlife management and conservation. She maintains strong connections with conservation organizations including BirdLife Austria and the Cormorant Specialist Group, and has served on scientific committees such as the advisory board of the Neusiedler See-Seewinkel National Park. Her laboratory and field work primarily focuses on non-invasive monitoring techniques for wildlife populations, particularly genetic methods for population assessment and conflict resolution strategies for species like beavers that interact with human infrastructure and activities.

Lumila Paula MenéndezView profile

Researcher

• Human Evolution
• Biocultural Diversity
• Primate Evolution
• +5 more

Lumila Paula Menéndez is an Associated Researcher at the Department of Evolutionary Biology within the Faculty of Life Sciences at the University of Vienna. She holds a PhD in Anthropology and Natural Sciences from the National University of La Plata (Argentina) and has conducted postdoctoral research at the University of Tübingen (Germany) and the Konrad Lorenz Institute (Austria). Her work focuses on human evolution, biocultural diversity in the Americas, primate evolution, and theoretical biology. She leads a DFG-funded project examining cranial and ear labyrinth variation in South American human samples to assess evolutionary processes like genetic drift and natural selection. Her interdisciplinary collaborations involve geneticists, biologists, linguists, and archaeologists. Her research interests include morphometric techniques, stable isotope analysis, and virtual anthropology. Notable projects include studying migration patterns leading to the Inka conquest and analyzing craniofacial climatic adaptations across continents. She advocates for inclusive citation practices and open data initiatives in biological anthropology. Recent work includes publications on Holocene human diversity in South America, osteobiographical studies of indigenous remains, and methodological advancements in 3D modeling. She emphasizes integrating genetic, archaeological, and morphological data to address debates about the peopling of the Americas and morphological diversification. Current projects aim to strengthen virtual anthropology's role in quantitative data generation and foster cross-disciplinary dialogue on sustainability and social-ecological systems.

• Pediatrics
• Obesity Management
• Metabolic Disorders
• +2 more

Daniel Weghuber is Professor and Department Chair at Paracelsus Medical University's Department of Pediatrics. His research focuses on pediatric obesity management, metabolic disorders, and pharmacotherapy. Research areas include: Anti-obesity medications for youth Neonatal laboratory diagnostics Clinical guideline development Metabolic function in inflammatory bowel disease Publications emphasize evidence-based obesity management, novel therapeutic approaches, and optimization of pediatric care protocols. Recent works address medication efficacy in adolescents and minimally invasive diagnostics. He leads projects on mitochondrial function in IBD and EURAS (epilepsy research). Current research examines climate impacts on migration through machine learning models.

• Blockchain
• Smart Contracts
• Ethereum
• +7 more

Monika di Angelo is an Assistant Professor at Vienna University of Technology's Faculty of Informatics, Department of Automation and Control Systems. Working at 50% capacity, she focuses on Information Systems Engineering and Visual Computing and Human-Centered Technology. Her research spans blockchain technology, smart contracts, Ethereum security, vulnerability detection, cultural heritage applications, and educational informatics. Dr. di Angelo's research interests center around blockchain technology and smart contract security, with particular expertise in Ethereum. Her work explores vulnerability detection in smart contracts, compiler analysis, token standards, and wallet implementations. She also maintains research interests in cultural heritage applications through digital visualization and simulation, extending from earlier work on architectural heritage and pedestrian behavior modeling. Her educational research focuses on didactics in computer science education, particularly for secondary schools and vocational training. Her publication record shows a clear evolution from early work in educational technology and architectural visualization toward blockchain and smart contract research starting around 2018. Recent publications demonstrate deep expertise in Ethereum security analysis, vulnerability detection frameworks, and comparative analysis of smart contract platforms. Her work combines theoretical analysis with practical tool development for blockchain security. Mobilitätsstipendium der TU Wien für hervorragende Dissertation Lions-Förderpreis (1989) Dr. di Angelo has supervised over 50 diploma and master's theses since 2008, with recent supervision focusing primarily on blockchain security, smart contract analysis, and Ethereum vulnerability detection. Her students' work reflects her research trajectory, moving from educational technology topics toward blockchain security in recent years. She has secured research funding from the Austrian Research Promotion Agency (FFG) for projects evaluating educational concepts for MINT promotion. Her DIVS project (2010-2020) represented a long-term research commitment to visualization and simulation of pedestrian behavior at train stations and architectural heritage applications. Her research extends across multiple domains including the SmartBugs framework for smart contract analysis, Ethereum security research, and applications of blockchain technology in various domains. She maintains active collaborations with researchers in blockchain security and has contributed to the development of tools and methodologies for smart contract analysis.

• Genetics
• Animal Breeding
• Biostatistics
• +6 more

Gabor Meszaros is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Institute of Livestock Sciences . His career spans roles as a researcher, project leader, and educator, focusing on genetics, animal breeding, and genomics. 2018 - Present: Associate Professor, BOKU 2014-2018: Assistant Professor, BOKU 2008-2013: Researcher, BOKU 2005-2008: PhD Student, Nitra, Slovakia Meszáros's research interests include genetic diversity analysis , population genetics , genomic selection , and bioinformatics tools for livestock breeding . His work addresses challenges in climate adaptation , inbreeding depression , and sustainable utilization of local breeds . His recent publications highlight advancements in genomic diversity studies across species like sheep, goats, pigs, and argali, with a focus on effective population size estimation , GWAS applications , and balancing selection markers . Collaborative projects span Austria, Mongolia, Ethiopia, and Burkina Faso. Meszáros actively contributes to academia by supervising 20+ theses at BOKU and serves as a reviewer for journals like Genomics and Small Ruminant Research . He participates in international symposia, including the World Congress on Genetics Applied to Livestock Production and Animal Science Days , and contributes to the Gregor Mendel Society as a managing board member.

• Soil Science
• Soil Nutrient Dynamics
• Microdialysis Technique
• +7 more

Erich Inselsbacher serves as an Associate Professor at the Institute of Soil Research within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). With over 97 publications to his name, his research spans multiple aspects of soil science, with particular expertise in soil nutrient dynamics, microdialysis techniques, and the effects of environmental changes on soil processes. His ORCID identifier is 0000-0001-5490-8768 and ResearcherID is C-3727-2012. Dr. Inselsbacher's research focuses on understanding soil processes at the microscale, particularly examining how root exudation influences soil microbial communities and nutrient cycling. His work employs advanced techniques like microdialysis to measure nutrient fluxes in soils under various conditions, including soil warming scenarios and different land management practices. He investigates how agricultural practices such as cover cropping affect microbial carbon use efficiency and soil carbon sequestration across European pedoclimatic gradients. His research also extends to wildlife ecology, where he applies FTIR spectroscopy to analyze bird foraging behavior and food selection. His recent publications reveal a strong emphasis on climate change impacts on soil processes, with multiple studies examining long-term soil warming effects on microbial phosphorus utilization, carbon cycling, and nutrient dynamics. He has also published extensively on the technical aspects of microdialysis in soil science, particularly its applicability in dry soil conditions and how soil water content affects measurement accuracy. Dr. Inselsbacher actively supervises doctoral and master's students working on topics related to soil warming effects, wild ungulate impacts on forest soils, organic farming fertilization effects, and root exudate influences on silicon availability. His research has secured funding from diverse sources including the Austrian Science Fund (FWF), European Commission, and industry partners, demonstrating the interdisciplinary relevance and practical applications of his work.

Philipp GrohsView profile

Professor

• Mathematical Data Science
• Deep Learning Algorithms
• High-Dimensional Partial Differential Equations
• +7 more

Prof. Dr. Philipp Grohs is a full professor of Mathematical Data Science at the University of Vienna and head of the Mathematical Data Science group at RICAM (Austrian Academy of Sciences). He holds a MSc from TU Vienna (2006) and a PhD from the same institution (2007). After postdoc positions at TU Graz, KAUST, and ETH Zurich, he became an assistant professor at ETH Zurich in 2011 before moving to the University of Vienna in 2016. His research focuses on designing efficient algorithms for signal processing, computational sciences, and finance, with recent contributions to understanding deep learning algorithms and solving high-dimensional PDEs using machine learning. He has received the ETH Latsis Prize (2014) and was selected for an Alexander von Humboldt Professorship (2019). Research Interests: Mathematical foundations of deep learning High-dimensional PDEs and their numerical solutions Signal and image processing (phase retrieval, Gabor systems) Approximation theory and function spaces Computational finance and mathematical modeling Recent Research Trends: His work explores theoretical guarantees for neural network performance, particularly in overcoming dimensionality challenges. Notable contributions include phase retrieval algorithms, analysis of DNN expressivity, and applications of deep learning in quantum chemistry and epidemiology modeling. Awards: ETH Latsis Prize (2014) Alexander von Humboldt Professorship (2019) Advising & Projects: Leads research initiatives such as the 'Data Science' hub at Vienna, and has coordinated projects on hybrid computational sciences and explainable AI models. Active in supervising interdisciplinary research teams across mathematics and computer science. Labs/Teams: Directs the Mathematical Data Science group at RICAM and oversees computational research collaborations with institutions like KAUST and ETH Zurich. Engages in applied projects like group testing strategies for SARS-CoV-2 and neural network-based electronic structure calculations.

Noreen MutoroView profile

Researcher

• Conservation Biology
• GIS and Remote Sensing
• Species Distribution Modeling
• +4 more

Noreen Mutoro is a Researcher at the University of Salzburg's Department of Environment & Biodiversity, affiliated with the Faculty of Natural and Life Sciences. She is currently completing her PhD in natural sciences (2019–2025). Her research focuses on integrated social-ecological conservation studies, utilizing GIS, remote sensing, and fecal detection dogs for carnivore research. She holds an MSc in Biology of Conservation (2012–2016) from the University of Nairobi and a BSc in Wildlife Management and Conservation (2007–2012). Professional experience includes roles as Assistant Research Scientist (2015–2017), Country Coordinator for TBAAK (2013–2017), and various internships in wildlife conservation. She has strong computer skills in GIS software (ArcGIS, QGIS), statistical tools (SPSS), and field data collection apps. Her research interests include species distribution modeling, carnivore dietary analysis, and the application of working dogs in conservation. She has published extensively on cheetah ecology, habitat analysis, and detection dog methodologies in high-impact journals like Animal Cognition and Global Ecology and Conservation .

• Analytical Chemistry
• Mass Spectrometry
• Liquid Chromatography
• +5 more

Sabrina Cramer MSc is a researcher at the Institute of Analytical Chemistry, Department of Natural Sciences and Sustainable Resources, University of Natural Resources and Life Sciences, Vienna (BOKU). She is actively engaged in developing advanced analytical platforms for bioprocess monitoring, particularly in microperfusion fermentation systems. Her research focuses on analytical chemistry , with an emphasis on mass spectrometry , liquid chromatography , and high-throughput screening . Her work integrates 2D-LC-MS/MS and valve-based sample handling for real-time monitoring of biological processes, contributing to advancements in biopharmaceutical process development and industrial biotechnology. The recent publications and conference presentations demonstrate a consistent trend in developing integrated analytical platforms for online monitoring of complex fermentation systems. Her work bridges analytical instrumentation and bioprocess engineering, enabling more efficient and data-rich biomanufacturing workflows. Scientific Contributions: Active participant in research projects on high-throughput acquisition methods and informatics workflows. Presented at major international conferences including ASMS and European Summit of Industrial Biotechnology. Collaborative Research & Grants: She contributes to self-financed and scientifically driven projects at BOKU, collaborating with leading researchers such as Tim Causon and Diethard Mattanovich. While no formal grants are listed, her involvement in project execution indicates active engagement in funded research environments. Laboratory & Team Affiliation: Based at the Institute of Analytical Chemistry (Muthgasse 18, Vienna), she is part of a research team focused on cutting-edge analytical methodologies for life sciences and biotechnology applications.

Borivoje DakicView profile

Assistant Professor

• Quantum Information Theory
• Foundations of Quantum Mechanics
• Operational Reconstructions of Quantum Theory
• +6 more

Assoc. Prof. Borivoje Dakić is an Assistant Professor at the University of Vienna’s Faculty of Physics, leading the Dakić Group within the Department of Quantum Optics, Quantum Nanophysics, and Quantum Information. His research focuses on quantum information theory, foundational quantum mechanics, and applied quantum technologies. He holds the Marko Jarić Prize, awarded for his contributions to quantum theory. Education details are not explicitly stated in the provided texts. His research interests span operational reconstructions of quantum formalism, foundations of quantum interference, macroscopic quantum theory, and scalable quantum verification methods. Key recent contributions include demonstrating quantum interference as a resource for communication and computation, robust macroscopic entanglement frameworks, and scalable tomography techniques. Research highlights include protocols for universal quantum computation using classical operations, quantum coherence in networks, and experimental validations of entanglement detection with few copies. His work bridges theoretical foundations with experimental collaborations, notably with groups like Philip Walther’s and Markus Aspelmeyer’s. Current projects include the SFB BeyondC consortium for scalable quantum device diagnostics and exploring quantum field theory local operations under QuantA. Scientific Awards: Marko Jarić Prize Grants & Projects: FWF-funded SFB BeyondC (2019–2027), Quantum Austria-funded ‘Information-theoretic foundations of quantum interference’ (2023–2026) Labs/Teams: Active in the Institute for Quantum Optics and Quantum Information – Vienna (IQOQI), collaborating with experimental groups on photonic and trapped-ion platforms. His team comprises 12 PhD students, 5 master’s students, and multiple alumni now at institutions like the University of Geneva and École Normale Supérieure Paris.

Leslie QuadeView profile

Research Fellow

• Bioarchaeology
• Paleopathology
• Stress Analysis
• +3 more

Dr. Leslie Quade is a Postdoctoral Fellow at the Austrian Academy of Sciences (OeAW) specializing in bioarchaeology and paleopathology. Her research focuses on early life stress, dental cortisol analysis, and health disparities in ancient populations. She holds a BA from Columbia University (USA), MSc from Durham University (UK), and a PhD from Durham. Her work spans multiple countries, including the UK, Czech Republic, France, and Italy. Key research projects include studying cortisol in baby teeth to assess stress in archaeological populations and investigating military mass graves in the Czech Republic. She has secured grants such as the Wenner-Gren Post-PhD Research Grant (2021-2023), FWF & OeAW’s Disruptive Innovation Seed Money (2024), and a Marie Skłodowska-Curie Fellowship (2025). Her studies explore stress in early life, military populations, and methodological advancements in bioarchaeological analysis. Notable achievements include pioneering cortisol analysis in deciduous teeth and collaborating on projects like the Jičín Observatory mass grave study. She also examines health transitions in historical contexts, such as Post-Roman Gaul and 19th-century child labor in England. Her interdisciplinary approach bridges bioarchaeology, paleopathology, and modern health studies.

Mitra SanjitView profile

Academic

• Digital Signal Processing
• Analog Signal Processing
• Computer-Aided Design
• +3 more

Sanjit K. Mitra is a Distinguished Professor Emeritus at the University of California, Santa Barbara (UCSB), and a Life Fellow of the IEEE. He holds memberships in prestigious academies including the U.S. National Academy of Engineering, European Academy of Arts & Sciences, and Bavarian Academy of Sciences and Humanities. His career includes roles as Distinguished Professor and Professor at UCSB, UC Davis, and Cornell University, alongside contributions at Bell Labs. Key Positions: Distinguished Professor Emeritus (UCSB), Member of Technical Staff (Bell Labs), 1962–2006. Education: Not explicitly detailed in texts, but his academic lineage spans decades of mentorship. Research focuses on digital and analog signal processing, filter design, and image/video compression. He authored 14 books and over 700 publications, cited 31k+ times (h-index 73). His work has been translated into multiple languages and influenced global engineering curricula. Awards include the IEEE Education Medal (2006), Golden Jubilee Medal (1999), and recognition as a 'Pioneer in Signal Processing' (1998 & 2017). His 48 Ph.D. students include 9 IEEE Fellows and a U.S. NAE member.

• Dendrochronology
• Wood Utilization
• Wood Quality
• +3 more

Michael Grabner is an Adjunct Professor at the Institute of Wood Technology and Renewable Resources, part of the Department of Natural Sciences and Sustainable Resources at the University of Natural Resources and Life Sciences, Vienna (BOKU). He specializes in dendrochronology, wood technology, and historical wood utilization, with research addressing climate impacts on forests and sustainable resource management. Education: Doctorate (Dr.nat.techn.), Universität für Bodenkultur Wien (2005) Diplom-Ingenieur (Dipl.-Ing.), Universität für Bodenkultur Wien (2002) Research Focus: His work bridges wood science, climate adaptation, and cultural heritage. Key areas include dendroecological responses to environmental stress, historical wood utilization patterns, and innovative applications of hardwood resources. Recent projects explore tree-ring based climate reconstructions, wood mechanics under changing conditions, and sustainable transformation of forest biomass. Publication Trends: Grabner's recent articles (2024-2025) demonstrate a strong emphasis on climate-wood interactions, with themes spanning drought resilience in European forests, mechanical properties of hardwood, dendroarchaeology, and sustainable construction. Methodologically, they integrate field data, material testing, and spatial modeling to address forestry challenges in changing environments. Awards: Congress Award der Stadt Graz (2020) World Wood Day Grants (2017-2021) Josef Umdasch Forschungspreis (2008) Theodor Körner Preis (2006) Preis der Stiftung „120 Jahre Universität für Bodenkultur“ (2003) Klaus Fischer Innovationspreis (2002) Projects & Collaboration: He leads 41 projects including climate-adaptive forestry studies (e.g., Klimafitte Wälder ), historical wood analysis ( Holzhandwerk revisited ), and wood quality assessments ( Schadholz-Qualität ). Collaborates across BOKU departments and international institutions on dendrochronology applications. Manages laboratory facilities for wood anatomy and dendroecological analysis at BOKU's Tulln campus.