Find Academic Supervisors

• Software Architecture
• Microservices
• Cloud Computing
• +7 more

Uwe Zdun is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice-Director of Studies for Computer Science and Head of the Research Group Software Architecture. His teaching portfolio includes core courses such as Software Engineering 2, Advanced Software Engineering, and Practical Software Courses for Bachelor's and Master's theses across multiple semesters (2024W-2025S). His research spans software architecture with emphasis on microservices, cloud computing, and DevOps. Key focus areas include architectural design decisions, infrastructure-as-code conformance, security in distributed systems, and the integration of machine learning operations (MLOps/RLOps). He investigates cognitive aspects of architecture practices through controlled experiments and develops model-driven approaches for quality assessment in complex systems. Recent publications (2024-2026) reveal three dominant trends: (1) Security and coupling analysis in infrastructure-as-code deployments, (2) MLOps/RLOps integration for Industry 4.0 cyber-physical systems, and (3) Performance optimization patterns for CI/CD pipelines and autoscaling. His work bridges theoretical architecture models with industrial practice, particularly in microservice ecosystems and reinforcement learning applications. Professor Zdun leads the Research Group Software Architecture at the University of Vienna's Faculty of Computer Science. The group focuses on empirical validation of architectural patterns, tool development for conformance checking, and advancing design decision methodologies in cloud-native and AI-driven systems.

• Automating Software Engineering Tasks
• Mining Software Repositories
• Program Analysis
• +9 more

Univ.-Prof. Martin Pinzger is a Professor at the Department of Informatics Systems, Alpen-Adria-Universität Klagenfurt. He serves as Head of Department and Member of the Senate, actively contributing to academic governance. Research Focus: Automating Software Engineering Tasks, Mining Software Repositories, Program Analysis, Software Evolution and Visualization Recent Work: Developing tools for API evolution analysis, cybersecurity AI (CAI), robotics benchmarking (RobotPerf), and dependency validation His research combines empirical studies with tool development for software maintenance and security. Current projects address challenges in REST API breaking changes, cloud security certifications, and robotic system performance evaluation. Publications since 2023 demonstrate continued engagement with topics spanning AI-driven code segmentation, microservice API evolution, and cybersecurity tool development. Key trends include cross-disciplinary applications of NLP to software engineering and security-focused tool creation. Contact: martin.pinzger@aau.at

• Software Engineering
• Cybersecurity
• Artificial Intelligence
• +5 more

Philipp Haindl is a lecturer at the Department of Computer Science and Security at St. Poelten University of Applied Sciences. His work focuses on software engineering, cybersecurity, and AI integration in education and manufacturing. Software Engineering Cybersecurity Artificial Intelligence DevOps Quality Assurance Research Interests: Dr. Haindl explores software metrics, inter-service security in microservices, and AI tools like ChatGPT in programming education. He investigates quality models and non-functional requirements in DevOps environments. Publications: Recent work includes studies on ChatGPT's impact in software engineering education, systematic reviews of microservice security, and frameworks for human-AI teaming in manufacturing.

Michael WimmerView profile

Professor

• Computer Graphics
• Real-Time Rendering
• Procedural Modeling
• +4 more

Michael Wimmer is a Full Professor at TU Wien, leading the Rendering and Modeling Group and directing the Center for Geometry and Computational Design. He holds a M.Sc. (1997) and Ph.D. (2001) from TU Wien. His research focuses on real-time rendering, procedural modeling, computational design, and point-based graphics. He has co-authored over 200 papers and the book *Real-Time Shadows*. He serves as Co-Editor-in-Chief of Computer Graphics Forum , chairs SIGGRAPH Asia 2025, and received the Eurographics Outstanding Technical Contributions Award (2023). Education: M.Sc. in Computer Science (1997), TU Wien Ph.D. in Computer Science (2001), TU Wien Research Interests: Real-time rendering and visualization Procedural modeling and computational design Point-based graphics and neural rendering Applications in computer games and urban environments Awards: Eurographics Outstanding Technical Contributions Award (2023) Wolfgang Straßer Award (Best Paper, 2022) Eurographics Fellow (2018) Outstanding Service Award (2012) Advising & Grants: Coordinator of the Special Research Programme Advanced Computational Design Key researcher at VRVis Research Center Labs & Teams: Rendering and Modeling Group Center for Geometry and Computational Design

Michael WimmerView profile

Professor

• Computer Graphics
• Real-Time Rendering
• Point Clouds
• +4 more

Univ.Prof. Michael Wimmer is a Professor in the Department of Computer Graphics and Visualization at TU Wien's Faculty of Informatics. His research focuses on real-time rendering, point cloud processing, GPU computing, and computational design. He leads projects involving architectural visualization, thermal simulation, and integrative design frameworks combining 4D sketching with material modeling. His work bridges computer graphics with applications in architecture and engineering. ORCID: 0000-0002-9370-2663 Research Group: Network Lab Recent research emphasizes GPU-accelerated algorithms (e.g., LOD generation for 2 billion points), real-time rendering techniques, and deep learning approaches for surface reconstruction. Collaborations span thermal simulation with civil engineers and 4D design tools for architects. Notable contributions include: Developing PPSurf for detailed surface reconstruction using point convolutions Advancing Vulkan-based rendering pipelines in academic settings Integrating light polarization for HDR imaging His lab explores applications in architectural design metaphors, computational material assessment via GeoRadar, and thermal simulation using precomputed radiative transport. Students under his supervision focus on GPU optimization, 3D reconstruction, and VR ergonomics.

• Serious Games
• Game Design
• Virtual Reality
• +3 more

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).

• Research Data Management
• Semantic Web Technologies
• Machine Learning
• +3 more

Tomasz Miksa is a researcher affiliated with TU Wien's Department of Research Data Management, focusing on machine-actionable data management plans (maDMPs), semantic web technologies, and data reproducibility. He collaborates extensively on projects involving automated assessment of data management workflows, FAIR data implementation, and privacy-preserving analysis platforms. Primary affiliation: TU Wien Department: Research Data Management Key projects: WellFort, FAIR Data Austria, openEO API His research integrates semantic technologies with data governance to enhance reproducibility in scientific workflows, particularly in domains like environmental monitoring and legal informatics. Recent publications emphasize ontological frameworks (DCSO), API harmonization, and auditable machine learning systems. Notable collaborative works include: Reproducibility standards for soil moisture data Knowledge graph applications in cyber-physical energy systems Dynamic data citation mechanisms He supervises students in theses related to maDMP integration, data citation frameworks, and institutional research data planning architectures.

• Software Engineering
• Probabilistic Programming
• Security and Penetration Testing
• +5 more

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.

• Software Engineering
• Cybersecurity
• Cloud Computing
• +3 more

Georg Simhandl is affiliated with the Faculty of Computer Science, specifically within the Research Group Software Architecture. His work focuses on advancing theoretical and practical aspects of software engineering with a strong emphasis on cybersecurity, microservices, and empirical studies. Research Interests: His core research spans Microservices Architecture , Cybersecurity in Software Systems , Formal Methods , and Empirical Software Engineering . He investigates topics such as secure firmware updates, threat modeling for microservices, and developer cognition in system maintenance. Recent work highlights include leveraging TPMs for cryptographic anchoring and analyzing how dataflow diagrams enhance security analysis. Activities: He has presented at conferences like the ACM SIGPLAN International Conference on Software Language Engineering (SLE '24) and participated in workshops such as the IEEE/ACM International Workshop on Eye Movements in Programming (EMIP). His research bridges theoretical frameworks with practical software development challenges. Labs/Teams: Works within the Research Group Software Architecture, contributing to projects on secure architecture design and empirical evaluation of software practices.

Frank PallasView profile

Professor

• Privacy Engineering
• Policy-Aligned Systems
• Techno-Legal Implications
• +7 more

Frank Pallas is a Professor at the Paris Lodron University of Salzburg, affiliated with the Faculty of Digital and Analytical Sciences. His research focuses on Privacy Engineering and Policy-Aligned Systems (PEPSys), integrating technical and legal aspects of emerging technologies. Education: Dipl.-Inform. and Dr.-Ing. in Computer Science from TU Berlin His work emphasizes techno-legal privacy engineering , policy-alignment mechanisms , and experimental assessment of privacy techniques , addressing anonymity, utility metrics, and societal impacts. Recent publications explore data anonymization, GDPR compliance, and privacy in distributed systems. Key projects include co-leading Salzburg's EXDIGIT initiative for digital sciences. Activities span organizing international workshops on privacy engineering, media contributions, and third-mission engagements like public lectures on digital privacy.

• Remote Sensing
• Machine Learning
• Geospatial Data Analysis
• +4 more

Dr. Emma Izquierdo-Verdiguier is a Researcher at the Institute of Geomatics within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She specializes in machine learning algorithms for remote sensing data analysis , with particular focus on land surface phenology and cloud computing environments like Google Earth Engine. Her research spans two decades, including postdoctoral work at the University of Valencia (2017-2018) and University of Twente (2014-2017). She has developed Matlab toolboxes for nonlinear feature extraction and transitioned to JavaScript/Python-based cloud computing solutions for high-resolution image classification. Key methodologies involve kernel methods , multispectral image analysis , and data cube clustering . Recent publications focus on climate change impact assessment (2025), carbon flux modeling (2023), and soil organic carbon monitoring (2025), demonstrating her expertise in Earth Observation and machine learning integration . Her work frequently employs Google Earth Engine for continental-scale analyses. Scientific Awards: 2018 Travel Award sponsored by Remote Sensing 2017 Best Youth Oral Paper Award (X. Wu), ISPRS 2012 2nd Best Paper Award, IEEE IGARSS Student Competition

• Development Economics
• Applied Econometrics
• Public Health Economics
• +4 more

Simon Heß is a Senior Lecturer at Vienna University of Economics and Business, specializing in development economics and applied econometrics. His work bridges empirical research with policy evaluation, focusing on rural development, environmental economics, and public health. He actively contributes to methodological advancements in statistics and geospatial analysis through software development. Key Research Areas: Development economics, public health economics, environmental economics, network analysis, and transportation policy. Recent Projects: Investigates kinship networks in local governance, evaluates vaccination impacts on dementia, and analyzes e-scooter safety using cross-European data. Methodological Focus: Software tools for randomization inference (Stata) and geocoding APIs. Notable Activities: Presented at the University of Groningen and University of Oxford, participated in the "Networks and Development" conference in Naples, and hosted visiting researchers like Ariel BenYishay. His recent publications in Nature , Review of Economic Studies , and Journal of Development Economics reflect interdisciplinary collaborations spanning epidemiology, urban mobility, and ecological conservation.

• Computer Science
• Network Synthesis
• Game Theory
• +3 more

Bernhard Clemens Schrenk is a researcher affiliated with the Faculty of Computer Science , specializing in the Research Group Education, Didactics and Entertainment Computing . His work focuses on networking, algorithm design, and graphics programming education. Research Interests: Network update consistency protocols Game-theoretic approaches to network synthesis Development of quantitative network analysis tools Graphics API education and Vulkan teaching methodologies Recent Research Trends: Publications span network management (2022, 2020), focusing on Stackelberg games and MPLS analysis, alongside educational contributions in Vulkan programming (2024).

• Computer Security
• Web Security
• Formal Methods
• +4 more

Lorenzo Veronese holds the position of PostDoc Researcher at the Technische Universität Wien (TU Wien), affiliated with the Department of Security Engineering within the Faculty of Informatics . His work focuses on formal methods applied to web and mobile security, including browser security mechanisms, firewall policies, and automated detection of security vulnerabilities. Education: He holds a Dr.techn. (Doctor of Technical Sciences) from TU Wien, with his 2024 doctoral dissertation titled Computer-aided formal security analysis of the Web platform . Research Interests include: Formal verification of security protocols Web platform vulnerability analysis Browser security mechanisms Automated firewall policy synthesis Mobile security (Android) Session integrity protection Publications trends show a focus on web platform security with contributions in: Exploiting Android custom tab vulnerabilities Breaking/fixing web session integrity Machine-checked browser specifications Automated detection of web threats (WPT tool) Projects include leadership in Browsec (2018–2024), W4MP (2023–2027), and IoTIO (2020–2025). He has also contributed to firewall management via FireWall Synthesizer (FWS) and ViSP . Advising: Supervised Lee A. 's 2024 diploma thesis on WebAPISpec. Active in teaching courses like Formal Methods for Security and Privacy and Introduction to Security . Lab affiliations: Member of TU Wien's Security and Privacy research group, collaborating with industry partners on practical security solutions.

• High Performance Computing
• MPI Programming
• Parallel Algorithms
• +2 more

Ioannis Vardas is a Researcher in Parallel Computing at TU Wien's Faculty of Informatics. His work focuses on optimizing high-performance computing systems through advanced process mapping, MPI programming, and performance analysis tools. Key research areas: Topology-aware process mapping for HPC MPI library development and optimization Performance profiling of parallel applications Resource allocation in hierarchical architectures Energy-efficient parallel computing He contributes to projects improving MPI performance tools and develops methods for efficient resource utilization in supercomputing environments.