Eva Kühn is an Associate Professor at TU Wien's Faculty of Informatics, specializing in Coordination Systems and Space-Based Computing. She leads the Compilers and Languages department and focuses on Blockchain Technology, Distributed Systems, and Swarm Intelligence. Roles & Affiliations: Associate Professor, TU Wien Research Lead in Coordination Middleware Principal Investigator in projects like ITSM-PEER and Formal Verification of DNNs Research Interests: Blockchain-based systems for decentralized applications Swarm intelligence algorithms for P2P networks Space-based computing architectures for distributed systems Coordination patterns for multi-cloud auto-scaling Projects & Grants: "Formal Verification of Deep Neural Networks" (2024-2027, OeAD) "ITSM-PEER" (2014-2015, FFG) "LOPONODE Middleware" (2012-2014, FFG) Students & Supervision: Advised over 30 students in areas like blockchain frameworks, swarm algorithms, and distributed systems. Labs & Teams: Leads the Peer Model research group developing coordination middleware and space-based computing frameworks.
O.Univ.Prof.i.R. Dipl.-Ing. Dr.techn. Peter Fleissner is a Retired Professor at the Department of Human Computer Interaction (E193-05) within the Faculty of Informatics at Technische Universität Wien. His interdisciplinary research spans computer science, macroeconomics, econometrics, social cybernetics, and mathematical modeling. Key research focuses include the intersection of technology with societal structures, sustainable development, information systems governance, and welfare state transformation. He has contributed to landmark publications such as Land and Resource Scarcity (2013) and co-edited volumes exploring digital media's role in democracy. Recipient of the prestigious Mitglied der Leibniz-Societät (2003, Germany) Supervised over 20 graduate theses on topics ranging from Cuban IT strategies to nanotechnology implications Core research project: Sustainable Development and Foreign Trade (2003–2004) His work bridges technical innovation with socio-political analysis, examining how digital tools can reshape democratic participation and economic systems. Fleissner has also explored critical issues like information security in academic institutions and the ethical dimensions of technological commodification.
Stefan Fenz is a Senior Scientist at Vienna University of Technology (TU Wien), key researcher at SBA Research, and co-founder of Xylem Technologies GmbH. His academic appointments include positions at TU Wien's Faculty of Informatics, Institute of Information Systems Engineering, where he conducts research on organizational information security, semantic technologies, and decision support systems. He previously served as a member of ENISA's Permanent Stakeholder Group (2012-2015) and as a visiting scholar at Stanford University's Center for Biomedical Informatics Research (2010). Dr. Fenz holds multiple advanced degrees including an MSc in software engineering & internet computing, MSc in business informatics, and PhD in computer science from TU Wien, plus an MSc in political science from University of Vienna. His educational background reflects his interdisciplinary approach that bridges technical and organizational aspects of information systems. His research spans several interconnected domains with primary focus on organizational information security, semantic technologies for decision support, and AI applications in building energy efficiency and agriculture. His work demonstrates consistent integration of semantic web technologies with practical decision support applications across diverse domains. Recent publications show an expansion into AI-driven agricultural optimization while maintaining his foundational work in security ontologies and risk management. His publication record reveals evolving research trajectories from early work on security ontologies (2008-2012) through semantic approaches to building energy efficiency (2012-2018) to current applications of AI in agriculture and building renovation. The consistent thread throughout is the application of semantic technologies and formal modeling to complex decision problems in security, energy, and now agriculture. Dr. Fenz is actively involved in research projects including Innov:ATE Austria's Digital Innovation Hub for Agriculture, Timber and Energy (2021-2024) and ICT for Decision Making in Farming (2017-2021), demonstrating his commitment to practical applications of his research. He has supervised numerous master's theses on topics ranging from cloud security to crop rotation optimization. As a court-sworn expert for IT security, member of IFIP WG 11.1, IEEE Systems, Man, and Cybernetics Society, and ISC², he maintains strong connections between academic research and practical security challenges. His international experience includes lecturing positions at Peking University, Beijing Jiaotong University, Konkuk University, and University of Applied Sciences Technikum Wien (2008-2012).
Peter Frühwirt is an External Lecturer in the Department of Information Systems Engineering at Vienna University of Technology (E194). His research focuses on cybersecurity, database forensics, and usable security, with a particular emphasis on tamper-proof systems, QR code vulnerabilities, and forensic-aware database solutions. Education : Dipl.-Ing. Dr.techn., BSc BSc Research Interests : Cybersecurity, Database Forensics, Machine Learning Applications in Security, QR Code Security, Web Application Security, Traffic Classification His recent publications analyze forensic-aware database protocols, QR code threats, and machine learning applications for attacker profiling. He teaches courses including Advanced Software Engineering, Software Engineering Project, and Software Quality Assurance.
Christoph Hochrainer is a PreDoc Researcher at Technische Universität Wien, affiliated with the Software Engineering department. His academic role involves research in software systems and formal methods, supported by projects like ForSmart (2023–2027) and MirandaTesting (2023–2028). He completed his Diploma in automated reasoning at TU Wien in 2020. His research spans software engineering, cryptography, and programming languages, with specialized interests in fuzzing techniques, architecture description languages, and smart contract security. Recent work emphasizes zero-knowledge circuits, Solidity benchmarking, and macro systems for domain-specific tooling. Christoph's publications consistently explore automated testing and formal verification, with a trend toward practical applications in blockchain and secure software pipelines. He supervises student theses, including work on inconsistency detection in Solidity smart contracts. He contributes to collaborative projects focused on formal methods and software reliability, operating within TU Wien's research units. No scientific awards are documented.
Dimitris Karagiannis serves as a Full Professor in the Department of Software Engineering at the Faculty of Informatics, TU Wien, affiliated with the Institute of Software Technology and Interactive Systems (unit E194-01). His institutional contact is dimitris.karagiannis@tuwien.ac.at. His research expertise centers on foundational and applied aspects of Software Engineering, with specialized focus on: Model-Driven Engineering methodologies Software Architecture design principles Software Development lifecycle optimization No specific scientific awards were documented in the source material, though his professorial appointment reflects significant academic recognition. Information regarding student supervision, research funding, or laboratory affiliations was not provided in the available profile.
Thomas Bäck is a Full Professor at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, and Chief Scientist at NORCE Norwegian Research Center, Norway. His career spans roles as Director of the Center for Applied Systems Analysis (Germany) and Vice Scientific Director at LIACS (since 2017). He holds additional positions like Adjunct Professor at the University of Calgary and Visiting Professor at Xi'an Jiaotong University. Bäck's research focuses on evolutionary computation, machine learning, and their applications in sustainable smart industry and health. He leads interdisciplinary initiatives like the Society, Artificial Intelligence, and Life Sciences (SAILS) program, with expertise in natural computing, data-driven optimization, and quantum computing challenges. IEEE Fellow (2022) Member of KNAW (2021) IEEE CIS Pioneer Award (2015) Fellow of International Society of Genetic and Evolutionary Computation (2003) Best PhD Thesis Award from German Society of Computer Science (1995) Bäck has graduated 22 PhD students and currently supervises 14, with 62 MSc students mentored. His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and Associate Editor for multiple journals. He has secured grants from the Dutch Research Council and The Research Council of Norway for projects like ECOLE and CIMPLO.
Prof. Dr. Susanne Buiter is Scientific Executive Director and Spokesperson of the GFZ German Research Centre for Geosciences in Potsdam, Germany, and Professor of Tectonics and Geodynamics at RWTH Aachen University since 2020. Her career spans roles in Norway, Canada, and Switzerland, including leadership at the Geological Survey of Norway (2006-2020) and adjunct professorship at Oslo University. PhD in Tectonophysics from Utrecht University Specialist in numerical modeling of crustal deformation Developer of 2D/3D software SULEC Research Focus Buiter's work centers on geodynamic processes across scales, including: Quantitative deformation analysis in crust and lithosphere Subduction zone dynamics and continental collision Wilson Cycle modeling (subduction, collision, rifting) Rifted continental margin evolution Benchmarking numerical and analogue tectonic models Her research integrates computational methods with geological observations to study processes from sedimentary basin inversion to mantle plume effects on continental breakup. Scientific Leadership Vice-President, Helmholtz Research Field 'Earth and Environment' (2024-2025) Union Service Award, European Geosciences Union (2022) Marie Skłodowska-Curie Doctoral Network 'Talents' Co-PI (2023) Editorial leadership at Solid Earth (2019-present) Young Outstanding Scientist Award, Norwegian Research Council (2007) As Executive Editor of Solid Earth and organizer of 8 international workshops, she actively shapes geodynamic research and open science initiatives.
Anita Onay is a Professor of Production Management at MCI Management Center Innsbruck. She holds a PhD in Production Management from the University of Innsbruck (2012–2016) and a Mag. rer. soc. oec. in Business Administration with a focus on Production and Logistics (2004–2010). Her academic career includes roles as Senior Lecturer (2021–2023), Lecturer (2018–2021), and Research Assistant (2016–2018) at MCI. She is actively involved in professional associations including the EURO Working Group on Behavioral OR (Coordination Board Member since 2022) and the Industry 5.0 Community of Practice (EU member since 2023). Her research focuses on integrating behavioral aspects into production and supply chain systems, with emphasis on simulation-based decision support, stochastic processes, and human factors in operations. Key areas include hierarchical production planning, lead time management, and behavioral workload control. She has led projects such as the Tyrolean Innovation Funding initiative on digital traceability in timber trade (2022–2024) and a TWF-funded study on lean production in SMEs (2017). Teaching responsibilities span Industrial Engineering and Mechatronics programs at MCI, covering courses like Production Planning & Control, Simulation & Optimization, and Lean Practice Lab. She advises over 40 students in bachelor and master theses, focusing on topics like production simulation, lean manufacturing, and Industry 4.0 implementation. Notable achievements include the 2023 Innsbruck Prize for Research and Innovation for her doctoral work on behavioral operations. She also received a PhD Program Support Grant from the University of Innsbruck (2014). Her professional experience includes roles as a project manager in quality management (GE Jenbacher, 2008–2009) and IT project leadership (Auviso Ltd., 2010–2014).
Dr. Lucas Kook is a Researcher at the Department of Statistics and Mathematics, WU Vienna University of Economics and Business. His research focuses on causal inference, machine learning, and statistical modeling, with applications in sports analytics, medical data analysis, and healthcare outcomes. He actively develops R packages such as deeptrafo for neural network-based statistical inference. His work bridges theoretical advancements in distributional regression and practical implementations in healthcare and sports domains. Key research areas include algorithm development for significance testing in supervised learning, causal feature selection, and nonparametric methods for conditional independence. Recent studies explore the efficacy of thrombolytic therapies in retinal artery occlusion and the predictive power of deep learning models in stroke patient outcomes. Collaborations span interdisciplinary fields, emphasizing reproducibility and methodological rigor in simulation studies.
Dr. Michael Szvetits is a Lecturer and Researcher at the Institute of Computer Sciences at the University of Applied Sciences Wiener Neustadt. He holds a PhD in Computer Science from the University of Vienna (2019), an MSc in Computer Science (2012), and a BSc in Information Technology (2010), all from the University of Applied Sciences Wiener Neustadt. His research focuses on software architecture, domain-specific languages, model-driven software development, functional programming, logic programming, and compiler construction. He has contributed to projects such as 'Care about Care' (C^C), which aims to enhance home care through ICT solutions, and 'CARU cares,' which integrates emergency call systems with care documentation tools. His publications span topics like runtime event analysis, model-driven engineering, and software architecture decisions. He collaborates on initiatives funded by the FFG and Active Assisted Living Programme. Dr. Szvetits is actively involved in research projects targeting healthcare technology, software systems optimization, and innovation in assistive living solutions.
Vanessa Fröhlich is a Researcher at the Competence Center for Preclinical Imaging and Medical Technology within the Faculty of Health, specializing in advanced medical imaging techniques. Her work bridges preclinical radiation research, molecular imaging, and artificial intelligence applications in radiology. Education: Master's degree in MedTech (approved February 5, 2016) Bachelor's degree in radiology technology (approved July 11, 2013) Her research focuses on high-field magnetic resonance imaging (15.2T) for cancer studies, with emphasis on geometric distortion correction in preclinical settings and AI-driven image analysis. Key areas include neoplasm imaging, blood-brain barrier studies, and molecular imaging techniques for breast cancer subtypes. She develops open-source computational pipelines to enhance multimodal data processing in radiation research. Recent publications (2024-2025) demonstrate a strong trend toward open-source tool development for preclinical imaging and AI validation in mammography. Her work addresses critical challenges in high-field MRI distortion correction while advancing quantitative analysis methods for radiation therapy applications. Fröhlich actively participates in major research initiatives including the PAIR project (2022-2026) and Applied Molecular Imaging project (2021-2026), collaborating with interdisciplinary teams on molecular imaging technologies and preclinical radiation methodologies. These projects provide critical infrastructure for her computational imaging research. As a core member of the Competence Center for Preclinical Imaging and Medical Technology, she contributes to cutting-edge research on preclinical imaging platforms, working with teams focused on translating advanced imaging techniques to clinical applications in oncology and neurology.
**Dominik Bork** is an Assistant Professor at the Department of Business Informatics within the Faculty of Informatics at TU Wien. His core research focuses on conceptual modeling, model-driven engineering, and the integration of artificial intelligence into enterprise systems. He leads projects such as the Network Lab and has coordinated initiatives like the Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen and MFP 4.2 Advanced Analytics for Smart Manufacturing . His work emphasizes GLSP-based web modeling tools , including the development of open-source platforms like BIGUML for UML modeling. He has published extensively on topics like knowledge graph transformation, accessibility in modeling tools, and AI-enhanced decision management. Bork actively contributes to academic communities through conference organizing roles and guest editorial work for journals like Enterprise, Business-Process and Information Systems Modeling . His research bridges theoretical advancements with practical applications in enterprise architecture and sustainable systems engineering. Education & Background : Holds titles including Dipl.-Wirtsch.Inf.Univ. and Dr.rer.pol., reflecting his interdisciplinary expertise in business informatics and economics. Key Contributions : - Developed CM2KGcloud , a web-based platform for conceptual model-to-knowledge graph transformation. - Pioneered EA ModelSet , a FAIR dataset advancing machine learning in enterprise modeling. - Authored influential papers on inclusive conceptual modeling for disability-aware tools. - Led efforts in model-based construction of enterprise architecture knowledge graphs . Grants/Projects : Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen (Principal Investigator) Digital Platform Enterprise (Principal Investigator) MFP 4.2 Advanced Analytics for Smart Manufacturing (Principal Investigator) Labs/Teams : Active in the Network Lab at TU Wien, focusing on cutting-edge research in modeling technologies and AI integration.
Ao.Univ.Prof. Margrit Gelautz is an Associate Professor at TU Wien's Computer Vision research department (E193-01), affiliated with the Institute for Software Technology and Interactive Systems (E188). Her work focuses on computer vision applications in autonomous driving, robotics, and 3D reconstruction. She leads projects on driver monitoring systems, vulnerable road user detection, and human-robot interaction. Recent research includes 3D bounding box prediction, synthetic data-driven pose estimation, and real-time sensor systems. She advises over 20 graduate students and collaborates on automotive platforms integrating vision-based safety systems. Her contributions span sensor fusion, stereo matching algorithms, and interactive video tools. Key projects include multimodal sensor-lighting systems for traffic safety, 3D scene completion, and intelligent workflow design for low-cost 3D film production. Her work emphasizes practical applications like in-cabin monitoring systems and adaptive lighting control. She develops semi-automatic annotation tools for traffic datasets and explores nonverbal communication in human-robot interaction using platforms like Pepper humanoid robots.
Dr. Philip Langer is a researcher at TU Wien's Institut für Information Systems Engineering, part of the Faculty of Informatics. His work focuses on model-driven engineering, semantic model differencing, and cloud-based software modernization. He contributed to frameworks like GLSP, ARTIST, and xMOF, emphasizing tool integration and collaboration in modeling environments. Research Areas: Model transformation, UML semantics, cloud migration, and search-based optimization Key Projects: ARTIST (cloud migration), GLSP (web modeling tools), xMOF (formal semantics) Publications highlight advancements in model differencing using execution traces, multi-objective model merging (MOMM), and semantic visualization techniques for web-based IDEs. His work bridges theoretical foundations with practical tool development, addressing challenges in collaborative modeling and legacy system modernization. Awards: No specific prizes mentioned, but recognized through prolific conference contributions and framework development. Grants/Advising: He collaborates extensively with peers like Tanja Mayerhofer and Manuel Wimmer, though specific grants or student advisement details are not explicitly stated. His research impacts both academic and industrial software engineering practices.
