Find Academic Supervisors

• Software Engineering
• Systems Engineering
• Dependable Systems
• +4 more

Christos Tsigkanos is an Assistant Professor at the University of Athens, Department of Aerospace Science and Technology, leading the Space Software Group. He holds a PhD from Politecnico di Milano (2017) and a Habilitation (2022). Previously, he was a post-doctoral researcher at TU Vienna and a Lise Meitner Fellow at the Austrian Science Foundation. His research focuses on software systems engineering, dependable systems, and space software, emphasizing formal methods and cyber-physical systems. Education: PhD in Software Engineering, Politecnico di Milano, 2017 Habilitation, 2022 Research Interests: Christos explores the intersection of software engineering and systems engineering, with a focus on dependability, formal methods, and space software systems. His work addresses challenges in temporal logics for specifications, runtime verification for IoT and edge systems, and model-driven engineering for reactive systems. He emphasizes practical applications in aerospace and robotics. Recent Articles: Recent work includes formal verification techniques for space software architectures, temporal logic applications in robotics, and scalable analysis of reactive systems. These contributions bridge theoretical formal methods with real-world software engineering challenges. Awards: ACM SIGSOFT Distinguished Paper Award (2020) Grants & Projects: RUNVERSPACE (PI, SNSF) ERMIS Constellation In-Orbit Validation (ESA Collaboration) RV4THINGS (Hellenic Foundation for Research) Labs/Teams: Leads the Space Software Group at the University of Athens, focusing on verified space software and cyber-physical systems. Collaborates with the University of Bern on space mission software assurance.

• Fashion Design
• Smart Textiles
• CAD Systems
• +3 more

Prof. Ender BULGUN is a Full Professor and Dean of the Faculty of Fine Arts and Design at Izmir University of Economics, leading the Textile and Fashion Design department. She holds a PhD in Textile Engineering from Ege University, with academic roles spanning Assistant Professor (1997), Associate Professor (2004), and Full Professor (2009). Her research focuses on smart textiles, wearable technology, CAD systems, and fashion design innovations. Key projects include developing smart firefighter garments, thermo-controlled clothing, and software for textile production optimization. She has managed national and international projects funded by TÜBİTAK, NATO, and EU initiatives. Her work spans over 50 conference papers and peer-reviewed articles in journals like International Journal of Clothing Science and Technology and Textile Research Journal . As an educator, she teaches courses such as 'Smart Clothing Design and Technologies' and 'Recent Advances in Smart Design Applications'. She has advised numerous graduate theses, including studies on smart glove design for disabled individuals and thermal performance evaluations of firefighter apparel. Her contributions extend to editorial roles in textile journals and jury memberships in international design competitions.

• Computer Vision
• Machine Learning
• Natural Language Processing
• +3 more

Dr. Suman Kumar Ghosh is a Lecturer in Data Science and Computer Science at York St John University, affiliated with the York Business School in London. His research focuses on computer vision, machine learning, and natural language processing, with a decade of experience across diverse industries. He has contributed to advancements in handwritten character recognition, scene text understanding, and segmentation-free word spotting techniques. His work spans foundational research in document analysis, including contributions to datasets like the Versailles-FP for ancient floor plan analysis. He has published extensively in top-tier conferences such as ICDAR and CVPR, addressing challenges in word spotting, bi-gram indexing, and visual attention models for text recognition. His research bridges theoretical advancements with practical applications in multilingual systems and adaptive feature extraction. No scientific awards are explicitly mentioned in the profile. His teaching responsibilities include modules on machine learning and artificial intelligence concepts.

• Software Engineering
• Formal Methods
• Program Analysis
• +7 more

Prof. Maria Christakis is a Full Professor in the Faculty of Informatics at TU Wien, leading the Rigorous Software Engineering Group and the Software Engineering Research Unit (E194-01). Her research focuses on developing reliable software tools, emphasizing formal methods, program analysis, and automated testing. She holds leadership roles including Curriculum Coordinator for Software Engineering programs and Faculty Council membership. Her research interests span automatic test generation, program verification, and improving developer productivity through novel techniques. Notable projects include the 'Sherlock' framework for testing program analyzers and 'Olympia' for Solidity fuzzer benchmarking. Awards include Amazon and Google Research Awards, and she actively contributes to conferences like CAV, ASE, and IJCAI. Prof. Christakis advises over 15 students (PhD, Master's, and project students) and has supervised numerous alumni. She teaches core courses like Advanced Software Engineering and oversees Bachelor/Master curricula. Her work bridges formal verification and systematic testing, with tools like 'queryFuzz' and 'LIBRA' addressing neural network fairness and SMT solver reliability. Current projects include the 'Nomos' specification language for machine learning safety and the 'LaZ' framework for lazy testing. She co-leads the Automated Reasoning doctoral school and collaborates with institutions like MPI-SWS and Microsoft Research.

• Parameterized Algorithms
• Graph Theory
• Computational Complexity
• +4 more

Robert Ganian is an Associate Professor at the Vienna University of Technology (TU Wien) in the Department of Algorithms and Complexity. His research focuses on parameterized complexity, graph algorithms, computational complexity, and their applications in artificial intelligence and graph drawing. He leads projects funded by institutions like the Austrian Science Fund (FWF) and the Vienna Science and Technology Fund (WWTF). Education and Roles: Holds a PhD and has been affiliated with TU Wien since 2018. Teaches courses including Algorithmics, Logical Methods in Computer Science, and Research Seminars. Research Interests: Specializes in parameterized algorithms for graph problems, structural graph theory, and complexity analysis of AI-related tasks. Current projects include 'Parameterized Graph Drawing' and 'Parameterized Analysis in Artificial Intelligence'. Grants and Projects: Active in EU-funded and national projects (e.g., WWTF, FWF). Leads research on algorithmic approaches to graph visualization and computational complexity challenges in AI. Labs/Teams: Part of the Logic and Computation group (LogiCS) and collaborates with international researchers in theoretical computer science and discrete mathematics.

• Machine Learning
• Electronic Commerce
• Information Retrieval
• +7 more

Wolfdieter Merkl is an Associate Professor at the Department of Data Science, Technische Universität Wien. His research focuses on Machine Learning, Electronic Commerce, and Information Retrieval, with interdisciplinary applications in Art History, E-Learning, and Digital Humanities. He leads projects like the Virtual 3D Social Experience Museum (VSEM), funded by the Austrian Science Fund (FWF). His work integrates computational methods with cultural heritage, including visualizing art historical networks, developing serious games for art education, and analyzing social media interactions. He teaches courses such as E-Marketing and Social Media, emphasizing practical applications of data-driven approaches. Supervising numerous theses, he has guided research on topics like propaganda detection, climate change analysis, and sentiment analysis in finance. Key contributions include data-driven art history mappings, user-generated content analysis in cultural contexts, and 3D virtual world applications. His publications span art history informatics, educational technology, and computational methods in cultural studies.

Florian MichahellesView profile

Professor

• Human-Centered AI
• Ubiquitous Computing
• Internet of Things (IoT)
• +5 more

Florian Michahelles is a Full Professor of Ubiquitous Computing at TU Wien, specializing in human-centered AI and IoT systems. He holds a Ph.D. from ETH Zurich and an MSc from Ludwig-Maximilians University Munich. His research focuses on integrating technology into everyday life while maintaining human control, including digital companions, AI-driven task optimization, and sustainable tech solutions. Roles include Full Professor in Artifact-based Design and User Research, Curriculum Coordinator for Human-Centered Computing, and Principal Member of TU Wien's Informatics department. He leads projects like the 'Eternity Bike' (self-balancing bicycle) and 'Urban-Engage' (citizen-driven urban planning). Education: Ph.D. (ETH Zurich), MSc (LMU Munich) Key Research Areas: Human-AI Collaboration, Wearable Tech, Sustainable Computing, Robotics Interaction Notable awards include the IoT 2023 Best Paper Award and the Ten Year Impact Award (MUM 2022). His work spans 20+ publications annually, addressing topics from textile interfaces to climate action systems. Active in entrepreneurship, he co-founded 42matters and advises on innovation management. His lab develops prototypes like the 'Smart Trash Can' and 'Skillab' AR training platform.

• Combinatorial Optimization
• Metaheuristics
• Evolutionary Computation
• +8 more

Günther Raidl is an Associate Professor at the Vienna University of Technology's Faculty of Informatics, specializing in the Algorithms and Complexity department. His research focuses on combinatorial optimization, metaheuristics, evolutionary computation, and operations research, with applications in logistics, bioinformatics, and scheduling. He leads projects on algorithmic problems, including vehicle routing, scheduling, and network design. His academic career includes extensive contributions to heuristic optimization techniques, mathematical programming, and the development of efficient algorithms. He has collaborated with institutions like Honda Research Institute Europe and Alfie's GmbH on projects involving e-mobility optimization, battery station planning, and dynamic vehicle routing. Raidl's work emphasizes practical applications of theoretical research, bridging algorithm development with real-world challenges in logistics and transportation. His recent publications address problems like longest common subsequence algorithms, Roman domination in graphs, and scheduling with interactive human availability learning. Key projects include studies on cooperative optimization for service point distribution, electric dial-a-ride systems, and battery swapping station location planning. He teaches courses on heuristic optimization, algorithms, and mathematical programming, contributing to both education and industry-relevant research.

• Formal Languages
• Membrane Computing (P Systems)
• Theoretical Computer Science
• +4 more

Rudolf Freund is a retired Professor at the Vienna University of Technology (TU Wien), affiliated with the Department of Theory and Logic (E192-05) under the Faculty of Informatics. His research focuses on formal languages, membrane computing (P systems), theoretical computer science, and bio-inspired computational models. He has contributed extensively to areas such as infinite words, graph grammars, molecular computing, and neural networks. Freund has held roles including editor for conference proceedings (e.g., NCMA 2019) and has taught courses like Formal Language Theory and Introduction to Clinics. His work often bridges theoretical foundations with practical applications in computing systems, emphasizing formal verification and computational completeness. His research has been published in journals like Natural Computing and Theoretical Computer Science , exploring topics such as derivation modes in P systems, reactive membranes, and computational models for Boolean networks. Despite retirement, he remains active in academic activities, including organizing workshops and contributing to conferences on unconventional computing. Freund's expertise spans membrane computing variants, automata theory, and regulated rewriting systems, with a focus on advancing computational paradigms inspired by biological processes.

Hannes KaufmannView profile

Professor

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +7 more

Hannes Kaufmann is a Full Professor and Head of the Research Unit at the Institute of Visual Computing and Human-Centered Technology, TU Wien. His work focuses on Virtual and Augmented Reality (VR/AR), with expertise in tracking technologies, human-computer interaction, and immersive systems. He leads a team developing large-scale VR platforms like ImmersiveDeck and ProjectVerse, enabling collaborative experiences in fields like industrial design and emergency training. Education: PhD in Geometry Education via Augmented Reality (TU Wien), Habilitation in Mixed Reality Applications Research Interests: Mobile AR/VR, Haptics, Wide-Area Tracking, Medical AR, 3D UI Design, Cyberpsychology His research bridges technical innovation with real-world applications, such as disaster simulation, medical training, and accessibility solutions for hearing-impaired users using vibrotactile feedback. He has pioneered systems like the Holodeck-inspired CoboDeck and the AR monitoring framework for industrial quality control (AR-AQ-Bau). Publications span topics from haptic device design (Action-Origami) to collaborative VR training for first responders. Awards include the 2023 SIGGRAPH Best Project Award for haptic innovation and the 2020 nexus health innovation award for SPECTAS eye-tracking technology. Labs/Teams: Mixed Reality Lab, Virtual Meeting Room Initiative Grants: Supported by the Austrian Federal Ministry for Climate Action and EU Industry 4.0 projects

Alexander PachaView profile

Lecturer

• Optical Music Recognition
• Deep Learning
• Music Information Retrieval
• +3 more

Dr. Alexander Pacha is an External Lecturer at TU Wien, specializing in Optical Music Recognition (OMR) and deep learning applications. His work focuses on advancing OMR systems through graph neural networks, dataset development (e.g., DeepScoresV2), and music score analysis. He leads projects like DeepOMR and contributes to the Mixed Reality Lab and Virtual Meeting Room initiatives. Key research areas include music symbol detection, staff/measure segmentation, and cross-document alignment in music scores. Research interests span computer vision, artificial intelligence, and software tools for music information retrieval. His work bridges theoretical advancements with practical applications in digital libraries and music technology. Notable contributions include self-learning OMR frameworks and benchmarking tools for music object detection. Labs & Teams: Mixed Reality Lab (exploring AR/VR in music contexts), Virtual Meeting Room (collaborative digital environments).

• Systems Engineering
• Internet of Things (IoT)
• Cyber-Physical Systems
• +3 more

Amirali Amiri is a PostDoc Researcher at TU Wien's Department of Automation Systems, part of the Faculty of Informatics. His work focuses on systems engineering, IoT integration, and cyber-physical systems. He teaches courses like Fundamentals of Digital Systems and Computer Engineering Project . His research emphasizes supply chain optimization, IoT performance, and IT/OT convergence security. Notable contributions include model-based approaches for IIoT lifecycle management and self-adaptive systems. Recent studies explore MQTT broker deployment architectures, semantic annotation for runtime models, and graph-based safety analysis. His work bridges theoretical frameworks with empirical validation in industrial automation contexts. Amiri has contributed to conferences such as IEEE ICM, ICPS, and ETFA, addressing challenges in cloud-based routing, cybersecurity, and DevOps integration.

• Data Analysis
• Visual Analytics
• Cybersecurity
• +3 more

Stefanie Größbacher is a Junior Researcher at the Institute of Creative Media/Technologies within the University of Applied Sciences St. Pölten, Austria. She is affiliated with the Department of Media and Digital Technologies and actively contributes to the Media Computing Research Group . Her work focuses on innovative applications of digital technologies across diverse fields including healthcare, education, and cybersecurity. Größbacher holds a BSc and Dipl.-Ing. in engineering, and her research spans visual analytics , AI-driven systems , and user-centered design . She leads projects such as the Josef Ressel Center for Knowledge-Assisted Visual Analytics (industrial data analysis) and the FIVE Project (youth social media empowerment). She also collaborates on initiatives like Smart Companion (AI for autonomous living) and IoT4LAC (smart community solutions). Her technical contributions include designing museum apps , developing cybersecurity training games , and creating AI tools for content documentation . She has authored over 20 peer-reviewed publications since 2019, with a focus on usability testing, mixed reality education, and healthcare technology. Key Projects: Josef Ressel Center, FIVE, IoT4LAC, Smart Companion, MIRACLE Research Areas: Visual Analytics, Mixed Reality, Cybersecurity, Healthcare Technology Teaching Roles: Contributes to study programs in Creative Computing, Media Technology, and Digital Healthcare

• Work Psychology
• Digital Transformation
• Gender Studies in ICT
• +3 more

Andrea Birbaumer is an External Lecturer in the Department of Visual Computing and Human-Centered Technology at TU Wien. She specializes in work psychology, digital transformation, and gender studies within ICT. Her research explores mental health in remote work environments, organizational crisis management, and career trajectories of women in technology sectors. Education & Background: While specific educational credentials aren't listed, her academic focus and publications suggest expertise in psychology and information technology disciplines. Research Focus: Dr. Birbaumer's work bridges organizational behavior and gender equity, with notable projects analyzing women's career paths in ICT and the psychological impacts of digital transformation. She has collaborated on EU-funded initiatives like the WWW-ICT project investigating gender dynamics in technology workforces. Key Projects: Mentoring4her (2008–2009) with Österreichische Computergesellschaft (OCG) promoting women's participation in ICT Grants & Collaborations: Active in European interdisciplinary research networks addressing gender equity, digital workplace challenges, and ICT sector modernization. Labs/Teams: Engaged with TU Wien's Human-Centered Technology group, focusing on applied research in organizational psychology and technology integration.

• Artificial Intelligence
• Sociotechnical Systems
• Digital Ethics
• +3 more

Kevin Marc Blasiak is a Postdoctoral Researcher at Vienna University of Technology, affiliated with the Faculty of Informatics . His work explores the intersection of technology, society, and business, focusing on AI conversational agents as persuasive technologies for value-sensitive contexts like countering online extremism, ethical decision-making, and content moderation. Current project: Designing "Shadowbanning" and "ExtremismBot.com" systems for ethical AI deployment. Research interests include sociotechnical systems, digital ethics, and online extremism. His publications analyze: AI ethics and governance Content moderation mechanisms Counter-narrative strategies for extremism Risk mitigation in generative AI applications Scientific awards : Canadian Network on Terrorism, Security & Society (TSAS) PhD Gala Fellow (2022) Finalist, Meta PhD Research Fellowship (2022) Finalist, Human Computer Interaction - Social Media, People, and Society Category (2022) He supervises thesis students at TU Wien and contributes to regulatory discourse on digital platforms.