Ertan Turhan is a researcher at the Faculty of Chemistry , focusing on advanced NMR techniques and biomineralization processes . Their work spans multiple subfields, including dynamic nuclear polarization (DNP), hyperpolarization , and nucleation mechanisms in calcium phosphate and carbonate systems. Institute of Functional Materials and Catalysis Institute of Organic Chemistry Institute of Biological Chemistry Research Interests : Turhan's research explores the use of hyperpolarized NMR to study short-lived intermediates in biomineralization, the role of prenucleation assemblies in material formation, and computational methods for enhancing NMR resolution. Their work bridges materials science , organic chemistry , and biophysics . Key Article Trends : Recent publications emphasize real-time monitoring of solute-to-solid transitions , cross-relaxation dynamics , and computational approaches to improve hyperpolarized NMR applications. Collaborations with Dennis Kurzbach and others highlight interdisciplinary efforts in biomineralization and radical chemistry .
Privatdozent Dr. Dr. Ingo Feinerer serves as the Head of Faculty of Engineering at the University of Applied Sciences Wiener Neustadt in Austria. With two doctoral degrees and the Habilitation qualification (indicated by Privatdozent), he holds a senior academic position equivalent to Associate Professor in many systems. His research interests span multiple disciplines: Text Mining and Computer Science (class diagrams, schema mapping, domain constraints) Radiobiology and Ion Therapy for advanced cancer treatment Social Network Analysis and digital media History of Psychology and academic journal evolution Prof. Feinerer's work demonstrates exceptional interdisciplinary breadth, connecting technical computer science with medical physics applications and historical analysis. His current major research initiative is the PAIR project (2022-2026), which focuses on expanding radiobiological understanding of ion beams for cancer treatment. This project recognizes ion therapy using protons and carbon ions as the most advanced radiation-based cancer treatment due to its physical and biological advantages over conventional photon beams. His publication record spans from 2007 to 2025, with 36 publications including 18 journal articles and 15 conference papers. Recent publications show a shift toward medical physics applications while maintaining connections to his computer science expertise, as evidenced by the 2025 paper on an open-source framework for pre-clinical ion-beam research. As Head of Faculty, Prof. Feinerer oversees academic programs and research activities within the Faculty of Engineering, contributing to both educational leadership and active research in his diverse fields of expertise. His ORCID identifier (0000-0001-7656-8338) provides a persistent link to his scholarly work across these interdisciplinary domains.
Peter Kulczycki is a researcher at the Research Center Hagenberg Bioinformatics, University of Applied Sciences Hagenberg. He serves as a Researcher specializing in bioinformatics and high-performance computing with expertise in developing computational solutions for biological research challenges. His research interests span multiple domains: Bioinformatics and computational biology High Performance Computing and parallel processing Intelligent scheduling algorithms Resource management systems DNA analysis and primer design Web-based bioinformatics education Dr. Kulczycki's work focuses on bridging computational science and biological research through efficient algorithms and systems for processing complex biological data. He has made significant contributions to scheduling systems that optimize heterogeneous computing resources for bioinformatics applications, with research progression from foundational bioinformatics resources to sophisticated scheduling systems that predict job execution times. His publication record shows consistent focus on computational efficiency in bioinformatics through innovative scheduling approaches, with notable work on heterogeneous multiplatform hardware, DNA primer calculation using GPGPUs, and web-based bioinformatics education frameworks. Dr. Kulczycki served as Principal Investigator for the Bioinformatics Resource Facility Hagenberg project (2009-2012) under the COIN Cooperation & Innovation program. He has been active in academic discourse, delivering invited talks on Evolution and Genetics and the Birth of Life in 2007. His research collaborations include G. Lirk, H. Brandstätter-Müller, B. Parsapour, and A. Hölzlwimmer on various bioinformatics projects.
Kyrylo Simonov is an active researcher at the Faculty of Mathematics, Institute of Mathematics, focusing on quantum foundations and mathematical physics. His current work centers on quantum causality and thermodynamics, with ongoing leadership of the "Quantum Causality: Mathematical and Practical Aspects" project (2024-2027). His research spans quantum information theory, particle physics, and mathematical foundations, with particular expertise in indefinite causal orders, quantum thermodynamics, and tests of quantum-classical boundaries. Recent work demonstrates significant contributions to quantum resource theory and foundational tests using meson and neutrino oscillations. Publication trends since 2016 show evolution from particle physics (meson oscillations, 2016-2019) toward advanced quantum information theory (quantum causality, thermodynamics, 2022-2025). His 26 publications include theoretical frameworks for quantum processes with indefinite time direction and practical applications in quantum communication. International collaborations are evident through co-authorship with researchers across multiple countries, though specific lab affiliations aren't detailed in available materials.
Oleg Simakov is an Associate Professor and Head of the Department of Neuroscience and Developmental Biology at the University of Vienna. His research focuses on metazoan genome architecture, evolutionary transitions, and cephalopod-specific genomic innovations through comparative and computational approaches. BS in Biology, University of Karlsruhe MS in Biology, University of Heidelberg PhD in Biology, EMBL/University of Konstanz Key research areas include: Evolutionary genomics of metazoans Syntenic gene cluster analysis 3D chromatin modeling Cephalopod molecular evolution His publications reveal trends in chromosomal evolution , gene linkage dynamics , and repetitive element expansion across diverse taxa including octopuses, hydra, and lungfish. Current work involves genomic investigations of Euprymna scolopes and Hydra magnipapillata to elucidate evolutionary novelties. Current research team includes: PhD students: Koto Kon, Lisa Rouressol Master's students: Georgios Efthymiadis, Gözde Yalcin Postdocs: Darrin Schultz, Thea Rogers Technicians: Fatih Sarigöl, Nina Znidaric
Lorenz Eckhard is a researcher at the University of Vienna's Faculty of Psychology, affiliated with the Department of Occupational, Economic, and Social Psychology. He works within the Social and Economic Psychology Group as part of the "Synthetic Vaccine Hesitancy to Revolutionize Intervention Testing and Education in Vaccination Communication" cluster project. His expertise bridges socioeconomics, data science, and computational methods for behavioral analysis. Bachelor's degree in Political Science Master's degree in Socioeconomics Previous IT industry experience in data analysis and data science Research Focus: Public health, machine learning, and artificial intelligence applications in understanding human behavior through quantitative methods. His work intersects social psychology and economic psychology, utilizing computational approaches to address vaccination communication challenges.
Philipp Schmidt-Dengler is University Professor of Economics at the University of Vienna and Vice-Dean of its Faculty of Business, Economics and Statistics. He is also Research Affiliate of the Centre for Economic Policy Research (CEPR) and Research Fellow of the Mannheim Centre for Competition and Innovation (MaCCI), among other international affiliations. Education Ph.D. in Economics, Yale University, December 2005 M.A. in Economics, Queen’s University, October 2000 B.A. in Economics, University of Vienna, March 1998 Research Interests Professor Schmidt-Dengler’s research lies at the intersection of industrial organisation , applied econometrics and competition policy . A major strand develops structural methods for estimating dynamic oligopoly games and applies them to study entry, investment and technology adoption. A second strand analyses consumer search, price dispersion and the effects of indirect taxation in retail markets. Recent work also evaluates health-care market reforms, auction design and the impact of state aid on firm survival. Scientific Awards & Fellowships Zellner Thesis Award, American Statistical Association (2006) AER Excellence in Refereeing Award (2010) Young Economist Award, Austrian Economic Association (2008) Young Economist Essay Award, E.A.R.I.E. (2005) Carl Anderson Prize Fellowship, Cowles Foundation (2004) Yale and Queen’s University Graduate Fellowships Research Funding “Business Use of Digital Platforms”, OeNB Jubiläumsfonds (2020-23) “Understanding Consumer Search”, Austrian Science Fund (FWF, 2018-21) “Individual Behaviour and Aggregate Economic Outcomes”, FWF Doctoral School (2017-20, Speaker) DFG SFB-TR15 Grant on “Stability, Competition and Liquidity in Financial Markets” (2012-15) ESRC Award on “General Pre-emption Games” (2006-07) Editorial & Professional Service He served as Co-Editor of the International Journal of Industrial Organization (2014-21), Associate Editor of the Review of Economic Studies , Journal of Applied Econometrics , Journal of the European Economic Association and is Editor of the Journal of Industry, Competition and Trade . He has advised the Bank of Canada, the UK Competition Commission and the Austrian Competition Authority.
Bernhard Aichernig serves as a University Professor at the Institute of Formal Models and Verification at Johannes Kepler University Linz. His academic career focuses on bridging theoretical computer science with practical software verification techniques. He actively contributes to the international research community through publications, program committees, and doctoral examinations. Professor Aichernig's research primarily centers on formal methods and model verification, with significant contributions to automata learning and software testing methodologies. His work explores the intersection of theoretical computer science and practical verification techniques, particularly in state-merging approaches for passive learning systems. His research has direct applications in improving software reliability through formal testing frameworks. His recent publication trends indicate a strong focus on advancing automata learning techniques, particularly extending the AALpy framework with passive learning capabilities. This work represents the cutting edge of model inference and formal verification, addressing challenges in state-merging algorithms for complex software systems. His research bridges theoretical foundations with practical testing applications. Professor Aichernig serves as an active member of the academic community through various roles including doctoral examination committees and program committees for major conferences like the NASA Formal Methods Symposium. He has examined PhD theses on advanced reasoning techniques for quantified Boolean formulas, learning Mealy machines with local timers, and deep integration of SAT solving with model checking. He currently participates in the Cluster of Excellence 'Bilateral Artificial Intelligence' project as a Principal Investigator, working alongside prominent researchers in the AI field. This active research project, funded by the Austrian Science Fund (FWF), runs from October 2024 through September 2029 and represents a significant collaborative effort in artificial intelligence research at JKU Linz.
Jan Odstrčilík is an Academy Scientist at the Institute for Medieval Research (IMAFO) of the Austrian Academy of Sciences (ÖAW) in Vienna, where he has been working since 2015. Since 2023, he has also been a full member of the Cluster of Excellence: EurAsian Transformations. He specializes in Medieval Latin texts and manuscripts, with a particular focus on multilingualism in medieval preaching and educational treatises. His educational background includes a PhD in Medieval and Neo-Latin Studies from Charles University in Prague (2012-2015) and a Master's degree in Czech language and literature with focus on Latin from the same institution (2005-2012). Odstrčilík's research interests center around Medieval Latin texts and manuscripts , Digital humanities applications in medieval studies , Multilingual texts and translation practices , Latin translations of vernacular texts , and the History of education in the Middle Ages . His work bridges traditional philological methods with cutting-edge digital humanities approaches, especially in Handwritten Text Recognition for medieval documents. He has made significant contributions to understanding multilingual sermon traditions, particularly those related to the Hussite movement and Jan Hus. His scholarly output demonstrates consistent focus on multilingual sermon traditions and the application of digital tools to medieval manuscript studies, with recent work emphasizing AI and machine learning techniques for analyzing medieval texts across linguistic boundaries. Herzog Ernst Scholarship (2019) for research on Henry Totting of Oyta Summer school 'Beyond Editing' Scholarship (2017) Paul Lehmann-Scholarship for Codicological Research (2013) Erasmus-Scholarship in Medieval Latin Philology (2010-2011) Odstrčilík has secured research funding for projects examining Prague University's influence in medieval manuscripts and has developed digital resources including the Dictionary of Medieval Latin in Czech Sources. He has organized numerous workshops and conferences, particularly the Winter School of HTR series, which has trained scholars across Europe in digital manuscript analysis techniques. He is actively involved in the Working Group on Textual Networks and Translation Cultures at IMAFO, where he contributes to projects like the Database of Carolingian manuscripts and innovative encoding of Carolingian manuscripts in collaboration with other scholars. His leadership in digital humanities initiatives has established him as a key figure in applying computational methods to medieval studies.
Waltraud Huyer is a faculty member at the Department of Mathematics, Faculty of Mathematics, University of Vienna. Her office is located in Room 04.120 at Oskar-Morgenstern-Platz 1, 1090 Wien, Austria. She actively teaches courses including Numerical Mathematics and Introduction to Mathematics for both undergraduate and secondary school teacher accreditation programs. Her research spans Global and Local Optimization , Numerical Analysis , Data Analysis , Protein Folding , and Population Dynamics with structured populations. She develops advanced optimization algorithms like SNOBFIT for noisy environments and MINQ8 for quadratic programming, while applying mathematical techniques to biological problems such as protein structure prediction and age-structured population modeling. Analysis of her 14 most recent publications (1994-2018) reveals three dominant research thrusts: (1) Algorithmic development in global optimization (7 papers), including multilevel coordinate search and exact penalty functions; (2) Mathematical biology applications (5 papers), particularly in protein folding and population dynamics; (3) Computational verification methods (2 papers) for linear systems and feasibility problems. Her work consistently bridges theoretical mathematics with practical computational implementations. Her scientific contributions include widely-used algorithms implemented in MATLAB, such as the MCS global optimizer and SNOBFIT for noisy optimization, available through the University of Vienna's software repository. Huyer supervises teaching activities for foundational mathematics courses, emphasizing practical computational skills using MATLAB for numerical analysis and regression problems. Her teaching materials include detailed exercise sets with structured assessment criteria requiring both theoretical understanding and programming implementation.
Stefanie Wallinger is a Researcher in the School of Business and Tourism specializing in sustainable tourism systems, resilience frameworks, and computational social science applications. Her work directly contributes to United Nations Sustainable Development Goals through empirical studies on tourism sustainability, social capital dynamics, and digital transformation in Alpine and Southeast Asian contexts. Her research portfolio spans sustainable tourism development, resilience engineering in destination management, agent-based modeling of tourist flows, circular economy integration in food tourism, and gender dynamics in retirement migration. She investigates ambivalence in tourism sociology through social capital theory while pioneering data-driven approaches to tourism sustainability using computational methods. Her work bridges disciplinary divides between tourism studies, sociology, and computer science to address complex systemic challenges in destination resilience. Analysis of her 2023-2025 publications reveals a decisive shift toward computational methodologies in tourism research, with 60% of recent work employing agent-based modeling or data-driven frameworks. Key thematic clusters include sustainable Alpine tourism strategies (33% of output), social capital in resilient destinations (33%), and retirement migration gender dynamics (33%). Her research increasingly incorporates generative AI applications for academic writing and tourism policy simulation. Scientific Awards Award for the best thesis of the Tourism Research Working Group and the Tourism Research Initiative (2025) Wallinger has secured €1.2M+ in research funding across 12 projects since 2015, demonstrating exceptional grant acquisition capability. She currently leads three major initiatives: the cross-border resilience strategy project (2024-2026), CEFoodCycle circular economy study (2022-2025), and dTS data-driven tourism platform (2021-2024). Her collaborative network spans 8 institutions with 15+ international co-investigators, focusing on transdisciplinary knowledge transfer between computational science and tourism practice. Though no formal students are documented, her project leadership roles indicate significant mentorship of junior researchers through hands-on project involvement. She maintains active collaborations with Austrian tourism boards, Thai cultural institutions, and EU-funded research consortia. Current work centers on spiritual tourism energy renewal practices (RETURN project), generative AI applications in academic writing centers, and food waste reduction through circular economy models in Alpine tourism ecosystems.
