Find Academic Supervisors

• Machine Learning
• Digital Preservation
• Privacy-Preserving Data Analysis
• +6 more

Rudolf Mayer is an Lecturer at the School of Logic and Computation and School of Information Systems Engineering at Vienna University of Technology . He is affiliated with the university through his roles in teaching and research, focusing on Machine Learning , Digital Preservation , and Privacy-Preserving Data Analysis . His work spans both academic research and applied projects, with a strong emphasis on collaborative and secure data management . His research interests include Machine Learning , Privacy-Preserving Techniques , Digital Preservation , and Music Information Retrieval . Over his career, Mayer has contributed to Developing frameworks for digital preservation of scientific and business processes Advancing privacy-preserving data analysis through platforms like WellFort Exploring adversarial machine learning and model stealing attacks Integrating semantic web technologies into data management systems His publications highlight trends in collaborative cybersecurity , model robustness , and digital archiving with applications in federated learning, self-organizing maps, and music analysis. Mayer has supervised 15+ graduate students , covering topics such as adversarial attacks , model watermarking , and privacy-preserving anomaly detection . Notable projects he has been involved in include the NEWSROOM initiative for cybersecurity automation, the Research Studio Digital Memory Engineering , and contributions to the PLANETS project for long-term digital access.

• Conceptual Modeling
• Accessibility
• Model-Driven Engineering
• +4 more

Haydar Metin is an Lecturer at the Vienna University of Technology in the Department of Information Systems Engineering . His research focuses on improving inclusivity in conceptual modeling and software engineering, particularly through accessibility and disability-aware design. His recent publications explore the challenges and opportunities in creating accessible modeling tools using the GLSP framework and UML standards. These works include systematic reviews of existing literature, evaluations of modeling tools, and open-source projects like BIGUML , which aims to provide flexible web-based modeling solutions. Metin’s contributions to model-driven engineering and web tool development highlight his commitment to advancing accessible software design practices. His work bridges the gap between theoretical research and practical applications in conceptual modeling.

• Change Management
• Competence Management
• Knowledge Management
• +3 more

Markus Pichlmair serves as an External Lecturer in the Institute of Logic and Computation (E192) at the Faculty of Informatics, Technische Universität Wien. His research focuses on Change Management, Competence Management, Knowledge Management, Softskill Training, and Information Systems. He teaches courses such as Communication and Rhetoric, Communication and Rhetoric 2, and Softskills for Technicians. His academic contributions include developing ontology-based systems for HR management, evaluating competence management frameworks in universities and software projects, and creating competency tracking systems for students. Notably, he was awarded the TuTheTop HighPotential Program by TU Wien in 2007. Pichlmair has advised at least one graduate student, Michaela S. Heinisch, on optimizing software trainings for field staff. His work bridges academic research with practical applications in education and organizational development. Additional professional activities include psychotherapy and corporate training, as highlighted on his personal website.

• Formal Methods
• Cybersecurity
• Software Engineering
• +3 more

Sarah Sophie Sallinger is a PreDoc Researcher at the Institute of Software Technology within the Faculty of Informatics at Technische Universität Wien. Her research focuses on formal methods applied to systems engineering, including cybersecurity, probabilistic systems, and software reliability. She contributes to projects such as ARTIST (2021–2026) and ProbInG (2020–2025). Her work addresses challenges like backdoor detection in software, formalization of Heisenbugs, and controller synthesis for probabilistic hyperproperties. Publications reflect her expertise in formal verification and cybersecurity, with recent work emphasizing practical applications of theoretical frameworks. She supervises student research, including Consistency-based software fault localization with multiple observations (Lukas Graussam, 2024). Contact: Email | Profile

• Cybersecurity
• Network Security
• IT Security Testing
• +3 more

Christian Schanes is a PostDoc Researcher at TU Wien's Department of Business Informatics. He holds a Dipl.-Ing. degree and a Dr.techn. from TU Wien, with a PhD titled 'Scope and depth efficient testing approach and framework for enhancing the detection of IT security bugs' (2013). His research focuses on cybersecurity, network security, automated security testing, and secure communication protocols. He teaches the course 'Introduction to Security' (2024W) and has supervised multiple graduate theses, including works on cybersecurity awareness, automated testing frameworks, and VoIP security. His research interests span IT security testing, data privacy, and vulnerability analysis in systems like VoIP and mobile payment frameworks. He has pioneered methodologies for automated security testing using machine learning and system behavior modeling. His work often addresses real-world threats, such as TLS vulnerabilities and honeynet-based attack analysis. Schanes has co-authored over 30 peer-reviewed publications, emphasizing practical solutions to cybersecurity challenges. Notable contributions include studies on mobile kernel subversion via TrustZone rootkits and large-scale VoIP threat analysis using honeynets. His research bridges theoretical frameworks with applied security solutions, impacting both academic and industry practices.

• Software Engineering
• Programming Verification
• Educational Technology
• +2 more

Helmut Schauer is an Associate Professor affiliated with the Department of Software Engineering at Vienna University of Technology (TU Wien). His work focuses on programming verification, educational technology, and mobile application development. He has supervised multiple diploma theses including Programming for Smartphones (2014) and Blended Assessment (2014). Research interests include formal methods in software engineering, mobile computing frameworks, and innovative educational tools for competency assessment. His 1989 publication Programmentwicklung und Verifikation remains foundational in programming methodology. No scientific awards are explicitly mentioned. Advising activities include guiding students in mobile development, assessment systems, and entrepreneurship education. Active in curriculum design for technology-enhanced learning environments.

• Audio Signal Processing
• Music Information Retrieval
• Deep Learning
• +3 more

Alexander Schindler is an External Lecturer at the Department of Information Systems Engineering at Technische Universität Wien. His research focuses on audio signal processing, music information retrieval, and deep learning applications in multimodal analysis. He coordinates the approacH project (2010–2013) funded by the European Commission, exploring audio-visual search engines. His academic background includes a Dipl.-Ing. in Technical Engineering and a Dr.techn. from TU Wien. Key research areas include acoustic scene classification, deepfake detection, and music video analysis. He has supervised students on topics like bird song identification and machine outage prediction. Notable publications span from unsupervised cross-modal learning (2020) to multi-modal MIR frameworks (2019). He holds a Bakk.techn. and advanced technical qualifications. Recent work includes advancements in deepfake audio detection (2025) and audio-visual surveillance systems (2024). His projects bridge theoretical research with practical applications in forensic analysis and industrial predictive maintenance. He contributes to international conferences like ACM SAC and DCASE, focusing on neural network architectures for audio analysis.

Johanna SchmidtView profile

Lecturer

• Data Visualization
• Visual Analytics
• Time Series Analysis
• +3 more

Johanna Schmidt is a Lecturer at the Vienna University of Technology (TU Wien) and the Head of the Visual Analytics Research Group at VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH. She holds a PhD in data visualization from TU Wien (2016) and has extensive experience in project management and industry collaboration. Her primary research focuses on visual analytics for large datasets, particularly time-series data from industrial and energy sectors, as well as immersive analytics for decision support. She leads the Visual Analytics group at VRVis, a COMET research center, and has contributed to projects such as ArtVis, GuidedVA, and KnoVA. Her work integrates human perception studies with visualization techniques to enhance data interpretation. She has been recognized as the FEMtech Expert of the Month (2021) for promoting women in technology. Her academic roles include teaching at TU Wien and the Salzburg University of Applied Sciences. Key research interests span data visualization literacy, exploratory data analysis, and the application of visual methods in healthcare and energy sectors. Notable collaborations include developing tools like Visplore for industrial data analysis and advancing immersive analytics for hydropower turbine lifecycle predictions. Her work bridges academia and industry, emphasizing practical solutions for complex data challenges.

• Answer Set Programming
• Knowledge Representation and Reasoning
• Cyber-Physical Systems
• +3 more

Dr. Peter Schüller is a Professor affiliated with the Department of Knowledge-Based Systems at TU Wien (Vienna University of Technology). He holds the academic title of Privatdozent (Priv.-Doz.) and has a background in Technical Engineering (Dipl.-Ing. Dr.techn. / Bakk.techn.). His roles include academic research, consulting services for intelligent automation, and partnership with Potassco Solutions. He is based at Favoritenstrasse 11, Room HG0312, and can be contacted via peter.schueller@tuwien.ac.at or contact@peterschueller.com. Education : Master's Thesis: 'Reconstructing borders of manually torn paper sheets using integer linear programming' (2008) PhD (Dr.techn.) in Informatics Habilitation (Privatdozent) qualification Research Interests : Schüller specializes in declarative problem solving through Answer Set Programming (ASP), with focus areas including hybrid knowledge integration systems, inconsistency management, and applications in robotics, traffic optimization, and industrial automation. His work bridges theoretical advances in computational logic with practical implementations in enterprise software architecture and database systems. Projects & Grants : He has led projects funded by the Austrian Research Promotion Agency (FFG), Austrian Science Fund (FWF), and Vienna Science and Technology Fund (WWTF). Key projects include: 'Dynamic knowledge-based (re)configuration of cyber-physical systems' (2017–2020) 'Integrated Evaluation of Answer Set Programs' (2015–2018) 'Inconsistency Management for Knowledge-Integration Systems' (2009–2012) Consulting & Partnerships : Provides services in enterprise software design, database optimization, GDPR compliance, and hybrid knowledge systems. Official partner of Potassco Solutions. Collaborates on initiatives like AI4EU and HumanE-AI-Net. Labs & Teams : Active in TU Wien's Knowledge-Based Systems Group. Involved in developing the DLVHEX and Hexlite solvers.

Renata RaidouView profile

Associate Professor

• Medical Visualization
• Visual Analytics
• Uncertainty Visualization
• +3 more

Renata Raidou is an Associate Professor in Biomedical Visualization and Visual Analytics at the Research Unit of Computer Graphics, Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. She previously held positions at the University of Groningen and TU Wien as a postdoc. Her research focuses on medical visualization, uncertainty visualization, and data physicalization for healthcare applications. Raidou has received prestigious awards including the Dirk Bartz Prize (2017) and EuroVis Young Researcher Award (2022). She coordinates TU Wien's BSc in Digital Health and MSc in Medical Informatics. Education: PhD in Medical Visualization (Eindhoven University of Technology, 2017), MSc in Biomedical Engineering (TU Delft), Diploma in Electrical and Computer Engineering (NTUA). Professional Roles: Editorial Board member of Computer & Graphics , Steering Committee member of EG VCBM, and member of EASAC's AI in Healthcare working group. Research Interests: Medical visualization strategies for P4 medicine, anatomical edutainment through physicalization, and uncertainty-aware visual analytics in radiotherapy. Her work bridges visual computing, machine learning, and medical applications, emphasizing clinical decision support and public health education. Awards: Over 10 awards including Best Paper recognitions at IEEE Vis and EuroVis, and the EuroVis Best PhD Award. Her contributions span visualizing anatomical variability, ensemble data exploration, and interactive medical training tools. Grants & Projects: Leads the Health Virtual Twins project (2024–2028) for personalized stroke management. Active in interdisciplinary collaborations, including the Shonan Meeting on Formalizing Biological Visualization. Labs/Teams: Head of the Visualization Group at TU Wien, developing tools like Vologram (holographic medical data physicalization) and Slice and Dice anatomical crafts. Collaborates on edutainment systems and AI-driven healthcare visualization.

Katharina KröslView profile

Lecturer

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +4 more

Katharina Krösl is a Lecturer at Vienna University of Technology, affiliated with the Institute of Computer Graphics and Algorithms within the Rendering and Modeling workgroup. Her research bridges computer graphics and assistive technologies through immersive virtual reality (VR) and augmented reality (AR) applications. PhD in Computer Science (2016-2020), supervised by Michael Wimmer Master's thesis on interactive photon tracing for lighting design Her work focuses on simulating vision impairments (e.g., cataracts), developing real-time rendering techniques, and creating VR-based training systems for disaster management and attention disorders. Publications span path tracing optimization, XR accessibility, and perceptual modeling. Scientific recognitions include the Young Experts Award 2021 and IEEE VR 2020 Best Research Demo Award. She contributes to IEEE and ACM publications while integrating luminaire design with VR/AR workflows.

• Data Management
• Information Retrieval
• Machine Learning
• +3 more

Moritz Staudinger is a PreDoc Researcher at the Data Science department of Technische Universität Wien . His research focuses on reproducibility in machine learning and information retrieval, with particular emphasis on query generation, data citation, and evolving database schemas. Current projects: FAIR-AI (2024–2026) , HumRec (2021–2025) , and DoSSIER (2019–2024) Collaborations: Works with Andreas Hanbury , Andreas Rauber, and others Research interests include large language models for scientific applications, temporal information retrieval, and FAIR data principles. His recent publications examine reproducibility challenges across machine learning, systematic literature reviews, and environmental data management. Supervisions : Mentors students working on topics like data sovereignty, multilingual fact-checking, and quality indicators for data management plans. Collaborates on the DBRepo semantic repository framework.

Annalena UlschmidView profile

Researcher

• Physically-based Rendering and Simulation
• Statistics / User Studies
• Incremental Path Tracing for Scene Editing
• +4 more

Annalena Ulschmid is a PreDoc Researcher at the Vienna University of Technology , affiliated with the Faculty of Informatics and the Computer Graphics group. She holds an MSc and contributes to research in physically-based rendering , user studies , and real-time graphics algorithms . Research spans incremental path tracing , alternative rendering datastructures , and probabilistic models for participating media . Key projects include ACD (Automated Prioritization for Context-Aware Re-rendering) (2020–2028) and IVILPC (Single-Exemplar Lighting Style Transfer) (2023–2026). She teaches courses like Computer Graphics , Fundamentals of Computer Graphics , and Rendering . Publications focus on real-time rendering , VR accessibility , and lighting style transfer . Her work has been recognized with the Best Student Paper Award at VISIGRAPP 2025 . Notable collaborations include Michael Wimmer and Katharina Krösl . Further details are available via her ORCID profile and GitHub repository .

• model-based reasoning
• qualitative reasoning
• software engineering
• +4 more

Franz Wotawa is an Associate Professor at the Institute of Information Systems Engineering, Faculty of Informatics, TU Wien. His primary research areas include model-based and qualitative reasoning, software engineering, configuration, verification and validation, intelligent agents, and theorem proving. He is affiliated with the Databases and Artificial Intelligence research group (E192-02) and can be contacted at franz.wotawa@tuwien.ac.at. Wotawa's research spans model-based reasoning for diagnosis and testing in service-oriented architectures, software verification techniques, and intelligent agent applications. His work bridges theoretical theorem proving with practical SOA validation challenges, emphasizing configuration management and qualitative analysis methods within distributed systems. His 2013 publications reveal a strong focus on risk-aware SOA testing methodologies, integrating criticality metrics with business impact analysis to optimize testing frameworks. These works demonstrate consistent exploration of grey-box testing approaches and reliability assessment in complex service compositions. Wotawa has supervised the following Master's theses: Hybrid approach for model-based random testing (J. P. Wallner, 2010) Model transformation from UML state machines to input/output symbolic transition systems (C. Thurnher, 2008) Entwurf und Implementierung eines wertebasierten Diagnose-Modells für VHDL-Programme (F. Bruckner, 2003) Constraint satisfaction problems: hybrid decomposition and evaluation (M. Hutle, 2002) Framework für generische Suche in einem komplexen Objektmodell am Beispiel von See Your Client (B. Schmidt, 2002) System analysis and monitoring (H.-P. Petek, 2001) He has led significant research projects: D-Flat (2013-2017): Dynamic programming via tree decompositions START (2014-2022): Argumentation semantics analysis Audit 4 SOAs (2011-2014): Criticality-based SOA testing INDENICA (2010-2013): SOA testing frameworks

• Health Services Research
• Perioperative Nursing
• Health Care
• +5 more

Prof. Nadja Nestler is a full professor at the Institute of Nursing Science and Practice at Paracelsus Medical University. Her research focuses on health services research, perioperative nursing, pain management, and the application of sensor technologies in long-term care. She leads major projects like SensiCare (fall/pressure ulcer prevention) and PhideLA (phytotherapy in elderly care), involving interdisciplinary teams across nursing, medicine, and engineering. Recently presented at international conferences on topics like digital health literacy and non-pharmacological pain management strategies. Holds editorial roles in pain research journals and actively promotes evidence-based practice implementation in clinical settings. Research interests include: Interprofessional healthcare collaboration Sensor-based care innovations Herbal medicine in long-term care Postoperative pain education Evidence-based practice implementation Recent projects (2023-2026) focus on: Sensor technology adoption in nursing homes Standardizing perioperative pain services Optimizing herbal medication protocols Patient health literacy improvement Has over 129 publications and 15 active research projects. Active in both EU and national funding initiatives.