Rudolf Ramler is an External Lecturer at TU Wien's Faculty of Informatics, Department of Information Systems Engineering. He specializes in software testing methodologies, automated testing frameworks, and software quality assurance. His research focuses on improving testing practices for legacy systems, industrial automation software, and defect prediction in software projects. He teaches the Software Testing course (VU 188.280) in 2025S. His work spans empirical investigations, tool-supported testing, and systematic literature reviews. Ramler has contributed to projects like CDL-SQI (2018–2024), exploring practical approaches for testing industrial automation systems. Research interests include test code readability, automated testing strategies, and value-driven testing frameworks. His publications address challenges in retrofitting tests for legacy code, comparing manual and automated testing efficacy, and developing context-specific defect prediction models. He has collaborated with industry partners to apply academic research to real-world software engineering problems.
جستجوی استاد راهنمای دانشگاهی
برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۱۶-۳۰ از ۱۶۶ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
- Forest Inventory and Monitoring
- LiDAR Technology Applications
- Forest Regeneration Quantification
- +۳ مورد دیگر
Tobias Ofner-Graff is a researcher at the Institute of Forest Growth within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Based at Peter-Jordan-Straße 82, 1190 Wien, his work focuses on advanced forest monitoring technologies. His research interests include: LiDAR and remote sensing applications in forestry Automated forest inventory systems Forest regeneration quantification Airborne Laser Scanning (ALS) data analysis Sustainable forest harvesting planning Recent project contributions include: Leading lidar-based forest monitoring systems development Developing spatial forest growth models Implementing digital inventory workflows His publications demonstrate expertise in: Quantifying forest resources through 3D point clouds Advanced timber stack measurement techniques ALS data integration for forest modeling Mobile laser scanning applications Forest climate adaptation strategies
Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.
- Deep learning Systems
- Parallel programming models
- High performance and datacenter networking
- +۸ مورد دیگر
Torsten Hoefler is a Full Professor of Computer Science at ETH Zurich, Switzerland, with an adjunct appointment in Electrical Engineering. He previously held roles at the National Center for Supercomputing Applications (University of Illinois at Urbana-Champaign) and Indiana University. Full Professor of Computer Science, ETH Zurich (2020–present) Adjunct Professor of Electrical Engineering, ETH Zurich (2020–present) Member at Large, ACM SIGHPC Executive Committee (2013–present) Leadership roles in the MPI Forum and Blue Waters project His research focuses on performance-centric system design , with emphasis on scalable networking, parallel programming models, and performance modeling. Key contributions include the Slim Fly network topology, Data-Centric Python framework, and innovations in parallel graph computations and RDMA-based systems. Recent publications span topics like LLM training networks , quantization geometry , chiplet interconnects , and AI-driven climate modeling , reflecting his interdisciplinary approach combining HPC, AI, and hardware-software co-design. ACM Gordon Bell Prize (2019) ERC Consolidator Grant (2020) IEEE TCSC Award for Excellence (2019) SIAM SIAG/SC Junior Scientist Prize (2012) Latsis Prize of ETH Zurich (2015) He has received multiple best paper awards at top conferences (SC10, SC13, SC14, SC19, IPDPS'15, HPDC'15, OOPSLA'16) and contributed to MPI-3 standardization.
Manuel Wimmer is a Full Professor and Head of the Department of Business Informatics – Software Engineering at Johannes Kepler University Linz, Austria. He also serves as the Program Director for the Business Informatics master's program since 2019. His academic leadership extends to representing JKU Linz in the AutomationML society and leading significant research initiatives. Dr. Wimmer received his Ph.D. and Habilitation from TU Wien. His academic journey includes: Research associate at the University of Malaga, Spain Visiting professor at the University of Marburg, Germany Visiting professor at TU Munich, Germany Assistant professor at the Business Informatics Group (BIG), TU Wien, Austria Professor Wimmer's research focuses on Model-Driven Software Engineering and its applications, particularly in the emerging field of Digital Twins . His work bridges theoretical foundations with practical industrial applications, with special emphasis on model transformations, runtime modeling, and the integration of artificial intelligence techniques into model-driven approaches. More recently, he has been exploring the intersection of model-driven engineering with quantum computing, investigating how modeling principles can be applied to quantum software development. His recent publications reveal a strong trend toward Digital Twin engineering, with approximately 40% of his 2023-2025 publications focusing on various aspects of Digital Twin technology. Another significant strand of his work involves the application of AI and machine learning techniques to enhance model-driven engineering processes. The emergence of quantum software engineering as a research direction is also notable in his most recent publications, demonstrating his ability to identify and explore cutting-edge research frontiers. From 2017-2023, Professor Wimmer led the Christian Doppler Laboratory on Model-Integrated Smart Production (CDL-MINT), where he developed engineering approaches for digital twins. He is also the co-author of the influential book "Model-driven Software Engineering in Practice" (2nd edition, 2017). Professor Wimmer is actively involved in the organization of major scientific events including the IEEE International Conference on Quantum Software (QSW) and the International Conference on Engineering Digital Twins (EDTconf), demonstrating his leadership in these emerging research communities. His research has practical applications across various domains including smart cities, industrial automation, tunneling/construction, and quantum computing. The MATISSE project represents a significant multi-partner effort to develop a framework for federated digital twins of industrial systems.
Patric Genferمشاهده پروفایل
پژوهشگر
Patric Genfer is a researcher in the Faculty of Computer Science specializing in Software Architecture with a focus on microservice systems. His work combines static code analysis , component modeling , and repository mining to address architectural challenges in distributed systems. Active in microservice architecture and code-model consistency Co-developed detector-based abstraction frameworks for architectural evolution Published in top venues like Empirical Software Engineering and ECSA Recent research includes security tactics in microservice APIs and metric visualization for software portfolios . He received two major awards: the Best Paper Award (2021) and Distinguished Open Artifact Award (2024). Collaborates with experts like Uwe Zdun, Cesare Pautasso, and Wilhelm Hasselbring. Scientific Awards: Best Paper Award (2021) Distinguished Open Artifact Award (2024) Participated in international conferences (ECSA 2024, WICSA 2021) and presented work on data exposure prevention and software quality metrics in microservice environments.
Sabine Andergassen is an Associate Professor at TU Wien, affiliated with the Machine Learning Research Group (E194-06). Her work bridges quantum physics and computational methods, focusing on strongly correlated electron systems and functional renormalization group (fRG) techniques. She collaborates across disciplines, integrating machine learning with quantum system analysis. Her research emphasizes the Hubbard model, exploring pseudogap phenomena, Mott transitions, and computational tools for lattice systems. She develops efficient fRG methods and modular code frameworks for lattice fermion simulations. Her interdisciplinary projects combine solid-state physics with information systems engineering. Key topics include quantum many-body systems, renormalization techniques, and computational physics applications. She actively contributes to conferences and publishes on topics ranging from single-boson-exchange fRG to cluster extensions in DMF²RG.
Stephan Schlögl is a Full Professor at MCI - The Entrepreneurial School in Austria, leading research and teaching in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Systems. He holds editorial roles at journals like the Springer Discover Artificial Intelligence Journal and MDPI Multimodal Technologies and Interaction Journal. His work spans over two decades, with key roles including Postdoctoral Research Fellow at Télécom ParisTech (2012–2013) and PhD Researcher at Trinity College Dublin (2008–2012). Schlögl’s research focuses on HCI, AI-driven conversational systems, and assistive technologies for aging populations. Education includes a PhD in Computer Science from Trinity College Dublin, an MSc in Human-Computer Interaction from University College London, and a Mag.(FH) in Applied Informatics & Management from MCI. His teaching spans Software Engineering, Business Intelligence, and Research Methods. Research interests emphasize natural language interfaces, AI ethics, and technology’s societal impact. Notable projects include the EU-funded EMPATHIC initiative (2017–2021), developing an empathic virtual coach for elderly care, and the CRYSTAL project (2024–present) on conversational systems for emotional support. Schlögl has supervised numerous theses on AI applications, chatbots, and UX design. He co-organized major conferences like CUI (Conversational User Interfaces) and received awards for best papers in AI-HCI and CHIRA. His work bridges academia and industry, addressing challenges in AI adoption, digital well-being, and ethical technology design.
- Distributed Systems
- Cloud Computing
- Edge Computing
- +۴ مورد دیگر
Thomas Werner Pusztai is a Researcher at the Department of Distributed Systems, TU Wien. His work focuses on cloud-edge continuum systems, serverless computing, and service-level objective (SLO) management. He contributes to projects like RapidREC, TEADAL, and the EU-funded RAINBOW initiative. His research spans distributed scheduling algorithms, edge-cloud resource allocation, and SLO-aware middleware frameworks like Polaris and HyperDrive. Education: Completed a Diploma in Computer Science at TU Wien with a thesis on Model-based design and architecture of fog computing applications (2019). Active in academic conferences, presenting at IEEE/ACM Edge Computing, Cloud, and Fog/Edge events. Research interests include edge computing, cloud-native systems, IoT applications, and optimizing SLO compliance through novel scheduling techniques. His work emphasizes practical frameworks for real-world distributed systems challenges. Projects include developing HyperDrive for serverless function scheduling in 3D edge-cloud spaces, Polaris for SLO-aware microservices orchestration, and SLO Script for complex elasticity-driven SLO implementations.
Bart De Moor is a Full Professor at the Department of Electrical Engineering, KU Leuven, Belgium, and a guest professor at the University of Siena. He leads the STADIUS research group and has supervised 85 PhD students. His roles include chairman of Health House (2016–present), member of the Board of VIB (Biotech Institute), and former Vice-Rector for International Policy (2009–2013). Education: Master Degree in Electrical Engineering (1983), KU Leuven PhD in Engineering (1988), KU Leuven Research Interests: His work spans numerical linear algebra, optimization, algebraic geometry, systems and control theory, data-driven AI, machine learning, and applications in process industry and biomedical big data. He has contributed to subspace identification, tensor decomposition, bioinformatics, and quantum computing. Publications Trends: His publications highlight subspace identification methods, tensor decomposition, bioinformatics, and biomedical data analysis. These reflect interdisciplinary advancements in control theory, quantum physics, and mathematical engineering, with applications in industrial and healthcare domains. Scientific Awards and Honors: Leslie Fox Prize (1989) Laureate of the Belgian Royal Academy of Sciences (1992) Bi-annual Siemens Award (1994) Fellow of IEEE (since 2004) Member of the Royal Academy of Belgium for Science and Arts (since 2000) Fellow of IFAC (since 2022) Commander in the Order of King Leopold I (2020) Fellow of SIAM (since 2017) FWO Excellence Award (2010) Advising and Grants: He has led a research group of 20 PhD students and postdocs, co-founded 8 spinoff companies, and secured the ERC Advanced Grant ‘Back to the roots’ (2020–2025). He also co-holds the KU Leuven Chair on healthcare systems (2018–present). Labs and Organizations: Active in the STADIUS research group (KU Leuven), he has served on boards of the Flemish Interuniversity Institute for Biotechnology (VIB), the Alamire Foundation, and the Health Tech Experience Center Health House. His spinoffs include Trendminer, Cartagenia, and Ugentec.
Wen Dongshengمشاهده پروفایل
دانشگاهی
Prof. Wen Dongsheng is the Chair Professor and Head of the Institute of Thermodynamics at Technical University of Munich (Germany). He holds adjunct professorships at the University of Leeds (UK) and Beihang University (China). His research focuses on multiscale heat transfer mechanisms in nanomaterials, with applications in energy and aerospace engineering. Key areas include solar energy systems, nanofuel combustion, and nanoparticle interactions with electromagnetic radiation. Education: BEng in Aeronautics (Beihang University), MSc in Thermophysics (Tsinghua University), DPhil in Engineering Science (University of Oxford). Research Interests: Heat production/transport/storage, multiscale experimentation/simulation, nanomaterial-based energy solutions. Specific applications include solar energy optimization, nanomedicine, and oil/gas engineering innovations via nanoparticle-driven technologies. Editorial Roles: Editor-in-Chief of Advance in Aerodynamics , Associate Editor of Applied Thermal Engineering . Awards include Fellowships from the Royal Society of Chemistry and Energy Institute, and the MIC-Particuology Award. Publications: Over 350 referred papers, 20 patents, with an H-index of 65. Research emphasizes cross-disciplinary applications of nanotechnology in energy systems and aerospace.
- Management
- Information Technology
- Digital Business
- +۷ مورد دیگر
Peter J. Mirski is a Professor of Management and IT at the Management Center Innsbruck (MCI), a leading business school in Austria. He has been associated with MCI since 1998, serving as head of the Management, Communication & IT and Digital Business & Software Engineering Online programs, which he co-founded. As Chief Information Officer (CIO), he oversees the central IT services department. He also holds a visiting professorship at the University of Nebraska, Omaha, USA. His academic background includes a Doctorate (Dr. rer. soc. oec.) from the University of Innsbruck, specializing in business management and information systems. He co-founded the PDAgroup GmbH in 2008 and has led numerous EU-funded research projects, notably the OPENSKIMR initiative for skill matching in digital labor markets. Mirski's research focuses on eLearning innovations, Industry 4.0, digital transformation, and project management. His work bridges academia and industry, emphasizing practical applications. He has authored over 100 peer-reviewed articles, books, and chapters, spanning topics like big data solutions, mentoring frameworks, and tourism technology. Key Awards: SAP University Alliances Visionary Member, ESCO Maintenance Committee (EU Commission) Professional Roles: Member of Academic Board (SAP DACH), Chair of ERP Summerschool, Scientific Advisor (PDAgroup) Mirski’s teaching spans design thinking, entrepreneurship, and IT governance. He has advised over 50 students in bachelor, diploma, and master theses, focusing on topics like digital twin applications, GDPR compliance, and IT governance maturity. His leadership in EU projects has driven innovations in education, tourism, and workforce development.
Wieland Konradمشاهده پروفایل
پژوهشگر
Wieland Konrad is a researcher affiliated with the Institut für Softwaretechnik und Interaktive Systeme at TU Wien. His work focuses on model-driven engineering, software versioning, and collaborative systems. He has extensively contributed to advancing model versioning techniques, conflict resolution in software models, and UML-based solutions. His research emphasizes practical applications in software development lifecycle management and educational methodologies for UML. Key research areas include: Model versioning systems and semantics Conflict detection and resolution algorithms Collaborative cross-organizational modeling EMF/UML profile-based extensions Software evolution analysis His publications highlight advancements in concurrent modeling tools like Colex, adaptable versioning frameworks, and educational strategies for large-scale UML teaching. While no awards are listed, his prolific output since 2009 demonstrates sustained academic contribution.
- Serious Games
- Game Design
- Virtual Reality
- +۳ مورد دیگر
Helmut Hlavacs is a Professor at the Faculty of Computer Science, leading the Research Group on Education, Didactics, and Entertainment Computing. His expertise spans serious games, game design, virtual reality, and health informatics. He has contributed to over 218 publications since 2005, focusing on topics like hedonic experiences in gaming, VR applications in therapy, and AI-driven behavior trees. His work intersects technology, education, and healthcare, with notable projects such as Conquer Catharsis (VR anxiety treatment) and PhyLab (VR physics experiments). Hlavacs has secured research funding for initiatives like Programmieren lernen durch Computerspielentwicklung and Dig-Equality FF , emphasizing digital equity and education. In 2019, he won the Best Poster Award at IFIP for his work on health data from serious games. Research Interests: Serious Games for health and education Virtual Reality applications in therapy and learning Game design methodologies and AI-driven NPC behavior Psychological impacts of gaming and digital consumption Procedural content generation for games Key Projects: Programmieren lernen durch Computerspielentwicklung (2008): Game-based learning for programming skills Dig-Equality FF (2020-2021): Digital competence promotion for equity TP1 PRECIOUS (2013-2016): VR conferencing and stress management Grants and Advising: Hlavacs has advised on projects involving AI in military command systems, VR therapy for anxiety disorders, and participatory design of social media literacy tools. He collaborates internationally on topics like gamification for behavior change and multicultural health interventions. Labs/Teams: His research group focuses on Serious Storytelling and Entertainment Computing , developing tools like the Prototypical game framework and InvisibleSound for blind musicians. Current work includes FiGHT (a web-based tool for eating disorder communication) and OutSmart! (a serious game for social media literacy).
Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.