جست‌وجوی استاد و پژوهشگر

Martin Voracekمشاهده پروفایل

استاد

• Meta-analysis and systematic reviews
• Research synthesis methodology
• Individual differences research
• +۵ مورد دیگر

Martin Voracek is a Professor of Psychological Research Methods at the University of Vienna, Faculty of Psychology, where he serves as Deputy Head of the Department of Cognition, Emotion, and Methods in Psychology. He is also Head of School and Speaker for the Vienna Doctoral School CoBeNe, Director of Doctoral Studies for Psychology, Cognition, Behaviour and Neuroscience, and Chair of the University of Vienna Ethics Committee. Professor Voracek specializes in meta-analysis and systematic reviews, focusing on methodology for research synthesis and integration, including publication bias and evidence distortion in empirical research. His work also encompasses individual differences research, particularly biological bases of personality and behavior, and suicide research. His extensive publication record spans topics including psychological methods, mindfulness studies, digit ratio research (2D:4D), and cross-cultural psychological measurement. Voracek's research output demonstrates a clear trend toward large-scale, multinational collaborative studies, particularly in developing measurement-invariant psychological instruments across diverse populations. His recent work has focused on validating scales across 65 nations and 40+ languages, examining constructs like life satisfaction, self-compassion, body appreciation, and nature connectedness. His methodological expertise is evident in numerous meta-analyses and systematic reviews across diverse psychological domains. Among his notable scientific contributions are leadership roles in the Network of Open Science Initiatives at Psychology Departments (NOSI) and serving as Editor-in-Chief of the Journal of Individual Differences. His work has significantly advanced methodological approaches to psychological research, particularly in meta-analysis and research synthesis. Professor Voracek supervises numerous theses and leads doctoral education through the Vienna Doctoral School CoBeNe. His teaching portfolio includes courses on research approaches in cognitive psychology, master's thesis seminars, and specialized research seminars focusing on metascience, meta-analysis, scientific discourse analysis, and language neuroscience.

• Wood Technology
• Renewable Resources
• Materials Science
• +۵ مورد دیگر

Martin Riegler is a researcher at the Institute of Physics and Materials Science , part of the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advanced material analysis and sustainable construction within the wood technology sector. Specializes in electrical resistivity measurements of wood Applies machine learning to wood machining acoustics Studies adhesive bondlines modified with carbon fillers Investigates moisture dynamics in wood Recent publications highlight his contributions to smart wood composites , non-invasive testing , and machine learning applications in wood processing. He has presented research at international conferences and collaborated with institutions like the Northern European Network for Wood Science and Engineering. Riegler's work intersects with Materials Science , Wood Technology , and Sustainable Engineering , particularly in optimizing particleboard production and wood moisture prediction . His research spans technical innovation and environmental stewardship in forestry applications.

• Food Process Engineering
• Food Biotechnology
• Bioprocess Engineering
• +۸ مورد دیگر

Felix Schottroff is an Assistant Professor in Food Technology at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Institute of Food Technology within the Department of Biotechnology and Food Sciences. He also holds a Tenure Track Professorship in Integral Food Processing at TU Berlin since 2023, reflecting his growing academic leadership. His research is centered on innovative food processing technologies, particularly pulsed electric fields (PEF) and ohmic heating, with applications in food safety, preservation, and sustainable production. His research interests include food process engineering, sterile process technology, bioprocess engineering, microbiology, and thermal and non-thermal food processing methods. He investigates the mechanistic effects of electric fields on microbial inactivation and cellular processes, aiming to improve efficiency in food and fermentation systems. His work bridges engineering principles with food science to develop scalable, energy-efficient, and high-quality food processing solutions. The recent articles highlight a strong focus on electrotechnologies such as PEF and ohmic heating, with applications in sterilization, baking, fermentation, and protein extraction. Trends include process modeling (CFD), scale-up strategies, and integration of these technologies into sustainable and precision food production systems. His work often involves interdisciplinary collaboration and industrial relevance. BOKU Anerkennungspreis für außergewöhnliche Leistungen in der Lehre (2022) Best Presentation Award, 4th World Congress on Electroporation (2022) Food Engineering Award, EFCE (2021) Hygienic Study Award, EHEDG (2021) Charles R. Stumbo Award (2019, 2020) PhD Student of the Year, EFFoST (2020) MSc Student of the Year, EFFoST (2016) Felix Schottroff has been actively involved in numerous research projects funded by FFG and industry partners, focusing on food safety, alternative proteins, and sustainable processing. He mentors students and collaborates widely across Europe. He serves as a reviewer for over 20 scientific journals and holds leadership roles in Young EFFoST (Chair), EHEDG, and ISEBTT. He previously led the BOKU Core Facilities (2021–2023), demonstrating organizational and technical leadership. He is involved in several labs and research initiatives, particularly those related to food processing, electrotechnologies, and core facilities at BOKU. His work is supported by national and international collaborations, including with TU Berlin, University of Alberta, and Ohio State University.

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +۵ مورد دیگر

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

• Soil bioengineering
• River restoration
• Life cycle assessment
• +۵ مورد دیگر

Magdalena Von Der Thannen is a Senior Scientist & Lecturer at the Institute of Soil Bioengineering and Landscape Construction at the University of Natural Resources and Life Sciences, Vienna (BOKU). She earned her doctorate with distinction in 2019 and holds two master's degrees from BOKU Vienna - in Alpine Natural Dangers/Watershed Regulations (2014) and Landscape Planning and Landscape Architecture (2012). Her educational background includes: Doctorate (2019, passed with distinction) Master in Alpine Natural Dangers / Watershed Regulations (2014, BOKU Vienna) Master in Landscape Planning and Landscape Architecture (2012, BOKU Vienna) Dr. Von Der Thannen's research focuses on soil bioengineering, river restoration, life cycle assessment, carbon balance, ecosystem services, and eddy covariance measurements. Her work bridges engineering, ecology, and environmental science with particular emphasis on sustainable approaches to natural hazard protection and landscape management. She has developed methodologies for environmental life cycle assessment of alpine protective structures and soil bioengineering constructions, with a strong focus on carbon balance and ecosystem services valuation. Analysis of her publications reveals a consistent research trajectory focused on quantifying the environmental performance of bioengineering solutions. Her most recent work (2024-2025) emphasizes carbon accounting in urban green infrastructure and floodplain ecosystems, building upon earlier work on life cycle assessment methodologies. She has established connections between eddy covariance measurements and ecosystem services, particularly in riparian restoration contexts. Her scientific recognition includes: Jubiläumsfonds der Stadt Wien für die Universität für Bodenkultur (2020) Projektprämierung der Stadt Wien - BOKU Research Funding Programm 2020 Dr. Von Der Thannen has presented her research at numerous international conferences including the EGU General Assembly and INTERPRAEVENT meetings. Her work demonstrates strong collaboration with Austrian and European institutions focused on natural hazard management and sustainable infrastructure development.

• Software Engineering
• Probabilistic Programming
• Security and Penetration Testing
• +۵ مورد دیگر

Jürgen Cito is an Associate Professor in the Department of Software Engineering at the Faculty of Informatics, TU Wien, where he leads research in probabilistic programming, security, and configuration management. His work is supported by major grants from the Austrian Science Fund (FWF), European Commission, and Meta Platforms, Inc., with active projects spanning 2022-2027. His research focuses on the intersection of software engineering and machine learning, particularly in static analysis of probabilistic programs, AI-driven penetration testing, and infrastructure security. Key contributions include identifying secret exposure in configuration files, grammar inference for ad hoc parsers, and performance prediction from source code, often combining empirical studies with tool development. Analysis of his 15 most recent publications (2020-2024) reveals three dominant trends: (1) Security vulnerabilities in configuration management systems, especially secret leakage in dotfiles; (2) Application of large language models to offensive security testing; and (3) Machine learning techniques for performance prediction and AutoML optimization in software contexts. Cito has supervised 22 Master's students on cutting-edge topics including AI security, infrastructure as code, and program analysis. His current research portfolio includes: Types4Strings (FWF, 2024-2027): Type systems for string processing Cloud Open Source Research Mobility Network (EU, 2023-2026): Open-source cloud infrastructure Software Assistants for Probabilistic Programming (Meta, 2022-2026): AI tools for probabilistic code He is embedded in TU Wien's Institute of Software Technology and Interactive Systems (E194), collaborating on cross-institutional projects focused on software security and developer tooling, with particular emphasis on empirical validation of security practices and configuration management systems.

Elmar Rueckertمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Robotics
• Machine Learning
• +۹ مورد دیگر

Prof. Elmar Rueckert is the Chair of the Cyber-Physical-Systems Institute at Montanuniversität Leoben in Austria since March 2021. He holds a PhD in Computer Science from TU Graz (2014) and previously served as a Senior Researcher at TU Darmstadt (2014–2018) and Assistant Professor at the University of Lübeck (2018–2021). His research focuses on Cyber-Physical Systems, Robotics, Machine Learning, and Human Motor Control, with applications in industrial automation, healthcare robotics, and environmental sustainability. Key research interests include stochastic machine/deep learning, reinforcement learning, brain-computer interfaces, and tactile learning. His work bridges robotics, neuroscience, and AI, emphasizing practical applications such as autonomous navigation, exoskeleton control, and sensor-based recycling technologies. Rueckert has led projects like the AI Robot Lab funded by Robert Bosch Stiftung and the KIRAMET recycling initiative. Recent publications highlight advancements in neural networks for industrial condition monitoring, multimodal robotic learning, and environmental infrastructure modeling. Awards include the German Young Researcher Award (2019) and the Advanced Robotics Best Paper Award (2018). Rueckert advises a team of researchers, including notable students like Daniel Tanneberg (PhD graduate, 2019) and Linus Nwankwo (best student paper winner, 2023). His lab develops open-source tools like ROMR and collaborates on datasets like EnvoDat for robotic spatial reasoning.

• Probability theory
• Financial mathematics
• Financial management
• +۴ مورد دیگر

Univ.Prof. Dr. Rüdiger Frey is a Full Professor for Mathematics and Finance at WU Vienna University of Economics and Business, leading the Institute for Statistics and Mathematics. His academic career includes roles at the University of Leipzig and the University of Zurich. He specializes in quantitative risk management, financial mathematics, and stochastic processes. Roles: Head of Institute for Statistics and Mathematics, Vienna Graduate School of Finance (VGSF) member Education: PhD in Financial Economics (University of Bonn, 1996), Diploma in Mathematics (University of Bonn, 1992) Research focuses on financial risk modeling, credit risk, systemic risk, and quantitative methods. Recent work includes applications of deep learning to financial PDEs and systemic risk analysis. He has authored over 60 peer-reviewed publications and edited volumes, including the influential textbook Quantitative Risk Management . His grants include the WWTF Project and collaborations in stochastic filtering and climate risk modeling. Key awards include the WU Best Paper Award (2021) and recognition for his PhD work. He advises doctoral students and actively participates in international conferences, such as the Vienna Congress on Mathematical Finance.

Ramin Hasaniمشاهده پروفایل

پژوهشگر

• Machine Learning
• Robotics
• Neural Networks
• +۳ مورد دیگر

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

• Machine Learning
• Bioinformatics
• Medical Engineering
• +۴ مورد دیگر

Susanne Schaller is an Assistant Professor at FH Hagenberg's Research Center Hagenberg, specializing in Medical Engineering and Bioinformatics. She leads interdisciplinary projects focusing on AI-driven solutions in healthcare, including applications in oncology, immunology, and geriatric care. Her work integrates machine learning with genomic data analysis to address challenges in disease diagnosis and treatment. Her research interests include machine learning techniques for gene expression prediction, bioinformatics tool development, and AI applications in chronic disease management. Notable projects include the SmartBeetle initiative (AI-based pest control) and TrainYourBrain Optimizer (Alzheimer’s training software). Projects: 8 active/completed projects (e.g., BF-SigSim, ImmuneProfiler) Collaborations: Interreg Austria-Czech Republic, MAS Demenzservicestellen Key Focus Areas: T-cell signaling, mutation identification in leukemia, and AI-driven healthcare systems Her work bridges computational methods with clinical needs, exemplified by her role in developing IMPI—a tool for low-frequency mutation analysis in chronic myeloid leukemia. She has authored 66+ research outputs, including peer-reviewed articles and commissioned reports on healthcare innovation.

Stefan Häusslerمشاهده پروفایل

پژوهشگر

• Operations Management
• Production Planning
• Supply Chain Management
• +۴ مورد دیگر

Stefan Häussler is a researcher affiliated with the Department of Information Systems, Production and Logistics Management at the University of Innsbruck , and coordinates the Innsbruck Decision Sciences research center. His work focuses on Operations Management , Production Planning , and Supply Chain Management , employing methods like discrete event simulation , optimization techniques , econmic experiments , and machine learning . He collaborates with researchers such as Hubert Missbauer, Gregor Blossey, Julian Fodor, and Florian Merkle. His research emphasizes practical applications in supply chain dynamics, including behavioral analyses and predictive lead time modeling. Häussler seeks to address societal challenges like food security and social inequality through his work. He values interdisciplinary collaboration and enjoys engaging in discussions and projects through the IDS network. Key themes in his publications include optimizing order release mechanisms, analyzing human decision-making in supply chains, and integrating machine learning for production planning. While no specific awards are listed, his active research output reflects ongoing contributions to the field.

• Soil Science
• Microbial Ecology
• Conservation Farming
• +۴ مورد دیگر

Christoph Rosinger is a researcher at the Institute of Agronomy (iPBAU) within the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on soil microbiology, conservation farming, and carbon-nutrient dynamics in agricultural and forest soils. Research Themes: Soil organic carbon stabilization, microbial community responses to amendments, and agricultural pollution mitigation using struvite/zeolites Methodologies: On-farm studies, multi-model simulations, and biogeochemical stoichiometry analysis Publication Trends emphasize microbial pathways in carbon sequestration, amendment effects on nutrient cycling, and seasonal soil processes. Recent work explores AI vs. process-based modeling for SOC prediction and volcanic ash pedogenesis. Earlier studies address subtropical soil nutrient limitations and post-disturbance fungal dynamics.

Theresa Rienmüllerمشاهده پروفایل

استادیار

• Biomechanics
• Biomedical Engineering
• Bioelectronics
• +۳ مورد دیگر

Theresa Rienmüller serves as Assistant Professor at the Institute of Biomechanics, Graz University of Technology (TU Graz), Austria since March 2025, following prior appointments at TU Graz's Institute of Health Care Engineering (2019-2025) and research roles at UMIT and TU Graz dating back to 2008. Her academic foundation includes a Ph.D. in Technical Sciences from UMIT (2013) and an M.Sc. in Telematics from TU Graz (2008). Her research integrates computational modeling with experimental biology to address complex physiological challenges, focusing on bioelectronic neural stimulation , cardiovascular dynamics , and tissue engineering . She pioneers the application of organic semiconductors for light-controlled neuromodulation and cardiac excitation, developing innovative solutions for traumatic brain injury recovery and regenerative medicine. Her methodology uniquely combines in vitro cell experiments with in silico system theory models to simulate physiological processes. Recent publications (2021-2025) reveal a dominant trend toward organic bioelectronics for neural/cardiac applications, with significant contributions in microfluidic diagnostics , cancer bioelectricity modeling , and AI-driven medical imaging . Her work consistently bridges fundamental biophysics with translational medical device development, emphasizing precision control of biological systems through engineered interfaces. As Co-PI of the Austrian Science Fund (FWF) project “LOGOS-TBI” (2019-2024), she advanced light-controlled implants for brain injury regeneration, and currently leads the “Microfluidic Platform” project (2024-2026) for point-of-care diagnostics. These grants reflect her leadership in securing competitive funding for interdisciplinary biomedical engineering research, with ongoing collaborations spanning Harvard University, European medical device centers, and clinical partners. Dr. Rienmüller maintains active research partnerships through TU Graz's Institute of Biomechanics, leveraging shared facilities for organic semiconductor fabrication , electrophysiology , and computational modeling . Her international network includes the Beth Israel Deaconess Medical Center (Harvard) and LAAS-CNRS in France, facilitating cross-border innovation in bioelectronic medicine and diagnostic technologies.

• Bioprocess Technology
• Liposomal Drug Delivery
• Bio-layer Interferometry
• +۷ مورد دیگر

Karola Vorauer-Uhl is an Associate Professor at the Institute of Biochemical Engineering, Department of Biotechnology and Food Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU). She is based at Muthgasse 18, Vienna, and holds a doctorate in life sciences and biotechnology. Her work is deeply rooted in biopharmaceutical technology, particularly in liposomal drug delivery and recombinant protein production. Her research interests center on advanced bioprocess technologies. She specializes in liposomal formulations for therapeutic and vaccine delivery, with a focus on protein encapsulation and liposome-protein interactions. A key methodological expertise is bio-layer interferometry (BLI) , which she uses for real-time, label-free analysis of molecular binding. Her work also encompasses CHO cell culture processes , quality by design (QbD) , process analytical technology (PAT) , and the development of recombinant proteins like erythropoietin and HIV envelope proteins for biomedical applications. The 15 most recent publications highlight a consistent research trajectory in biopharmaceutical process development and nanoparticle-based delivery systems . Early works focused on protein purification and liposome production, while recent contributions emphasize advanced analytical methods like BLI for characterizing protein-liposome interactions and implementing QbD/PAT in mammalian cell cultures. The dominant themes are liposome technology , protein characterization , and bioprocess optimization , with applications in drug and vaccine delivery. ao.Univ.Prof. (Associate Professor), BOKU Vienna Habilitation in Biopharmaceutical Technology, 2002 Promotion (PhD) in Food and Biotechnology, 1993 Dipl.-Ing. in Food and Biotechnology, 1988 Karola Vorauer-Uhl has made significant contributions to the development of liposomal therapeutics and vaccines. Her work on GMP-compliant liposome production and novel techniques like the cross-flow injection method demonstrates a strong focus on translating research into industrial applications. She has been involved in projects related to HIV vaccine development using virosomes and the therapeutic use of liposomal superoxide dismutase. Her community service includes participation in numerous scientific conferences and workshops, particularly in the fields of bioprocessing and liposome research. She is actively engaged in academic advising, as evidenced by her supervision of university theses. Her laboratory or research group appears to focus on bioprocess engineering, with expertise in recombinant protein expression, liposome formulation, and advanced analytical characterization. Collaborations with industry partners and other research institutions, especially in the area of biopharmaceuticals, are a consistent feature of her work.

Federico Santangeloمشاهده پروفایل

استاد

• Roman Republic
• Roman Religion
• Ancient Historiography
• +۳ مورد دیگر

Professor Federico Santangelo (Newcastle University) is a leading scholar in Ancient History , specializing in the political and intellectual history of the Roman Republic, Roman religion, and classical scholarship. He has held positions at Newcastle since 2009, including Professor of Ancient History (2018-present). PhD, University College London (2006) Licenza, Collegio Superiore, Bologna (2002) Laurea, Università di Bologna (2002) Research Focus: Santangelo's work centers on Roman Republic governance, Roman religion (especially divination and civic rituals), classical historiography (including modern interpretations of antiquity), and municipal administration in Roman territories. His recent projects explore the intersection of political ideology and religious practices , with comparative studies on Napoleonic and Roman imperial models . Publications: Over 15 peer-reviewed articles in journals like Classical Quarterly , Greece and Rome , and Transactions of the American Philological Association , plus 9 monographs and 15 edited volumes. Notable works include Divination, Prediction and the End of the Roman Republic (CUP, 2013) and La religione dei Romani (Laterza, 2022). Scientific Awards: Fellow of the Society of Antiquaries of London (2019) Senior Fellow of the Higher Education Academy (2019) Fellow of the Royal Historical Society (2017) Cavaliere dell'Ordine della Stella d'Italia (2017) Fellow of the Higher Education Academy (2013) Academic Leadership: Grant recipient for projects mentoring Dr. J. Bastos Marques (BA Newton Fellowship), Dr. I. Matijašić (Research Excellence Academy), and Dr. K. East (Leverhulme ECF). Serves on the Arts and Humanities Panel (British Council) and as peer reviewer for international funding bodies.