Find Academic Supervisors

• Artificial Intelligence
• Scheduling Algorithms
• Metaheuristics
• +4 more

Prof. Nysret Musliu is an Associate Professor at TU Wien's Department of Databases and Artificial Intelligence within the Faculty of Informatics. His primary affiliation is with the E192-02 research area, focusing on optimization, scheduling, and AI applications. He leads projects like 'Artificial Intelligence in Employee Scheduling' and 'Predictive Analytics for Emergency Call Infrastructure,' demonstrating expertise in combinatorial optimization and real-world problem-solving. Academic Rank: Associate Professor Institution: TU Wien Key Projects: AI-driven scheduling, constraint programming, metaheuristics Research interests include scheduling algorithms, constraint programming, and hybrid optimization methods. His work bridges theoretical advancements with industrial applications, addressing challenges in manufacturing, healthcare, and transportation. Recent publications emphasize hyper-heuristics, large neighborhood search, and AI integration for complex scheduling problems. Notable contributions include systematizing test laboratory scheduling and developing exact methods for oven scheduling. His research group collaborates on projects involving personnel scheduling, production leveling, and parallel machine optimization.

Thomas EiterView profile

Professor

• Answer Set Programming
• Knowledge Representation
• Logic Programming
• +7 more

Thomas Eiter is a Professor at TU Wien's Institute of Logic and Computation. His research focuses on declarative programming paradigms, knowledge representation, and artificial intelligence. He leads projects in neurosymbolic systems, answer set programming (ASP), and stream reasoning, with applications in visual question answering, scheduling optimization, and semantic scene generation. Eiter has contributed to foundational work in ASP semantics, computational complexity, and hybrid reasoning frameworks. His work bridges logical formalisms with practical AI challenges, emphasizing explainability and scalability. Projects like ALASPO and neurosymbolic integration showcase his focus on advancing both theoretical and applied aspects of AI. Projects: HumanE AI Network, WASP, REWERSE Research Themes: Neurosymbolic AI, Answer Set Programming, Stream Reasoning Notable achievements include pioneering work on semiring-based reasoning frameworks and developing efficient ASP solvers like Alpha. His contributions span over 471 publications, emphasizing interdisciplinary applications in computer vision, robotics, and automated planning.

Johannes OetschView profile

Researcher

• Answer Set Programming
• Neural-Symbolic Computation
• Visual Question Answering
• +3 more

Johannes Oetsch is a researcher at TU Wien's Forschungsbereich Knowledge Based Systems within the Faculty of Informatics. His work focuses on Answer Set Programming (ASP) , neuro-symbolic computing , and visual question answering systems . He holds a Diplom-Ingenieur (Dipl.-Ing.) and a Doctor of Technical Sciences (Dr.techn.) in informatics. Key research areas include: Integration of large language models with symbolic reasoning frameworks Optimization techniques in ASP for scheduling problems Explainability mechanisms for neuro-symbolic systems Recent work emphasizes visual question answering using graph-based representations and contrastive explanation methods. He has contributed to the development of ALASPO , an adaptive optimization framework for ASP solvers. His research also explores applications in manufacturing scheduling and automated testing of logic programs. Notable contributions include: Neuro-symbolic pipelines combining ASP with vision-language models Lexicographical makespan optimization in parallel machine scheduling Large-neighbourhood search strategies for ASP-based optimization

Daniel CornelView profile

Researcher

• Flood Modeling
• Hydrology
• Computational Fluid Dynamics
• +3 more

Daniel Cornel is a researcher affiliated with TU Wien's Department of Engineering Hydrology, part of the E222-02 research group. He holds a Dipl.-Ing. (engineering diploma) and a Dr.techn. (technical doctorate). His work focuses on integrating computational methods with environmental hydrology, emphasizing flood modeling, high-performance computing, and geospatial visualization. Cornel collaborates extensively with experts like Prof. Günter Blöschl and Prof. Jürgen Waser on projects such as the HORA 3.0 flood risk zoning initiative. His research interests span GPU-accelerated flood simulations, hydrodynamic modeling at regional scales, and decision-support systems for disaster management. Notable contributions include developing interactive visualization tools for real-time flood data and VR-based training modules for emergency response. Cornel also explores algorithm optimization for terrain modeling and subsurface network visualization. Key projects include the 'Integrated Simulation and Visualization for Flood Management' framework and the 'Master of Disaster' VR training system. His work bridges computational science with environmental engineering, addressing both technical challenges and practical applications in flood risk mitigation.

• Protostars
• Protoplanetary Disk
• Star Formation
• +5 more

Eduard Vorobiev is a researcher affiliated with the Faculty of Earth Sciences, Geography and Astronomy, specializing in astrophysics. His work focuses on star formation, protoplanetary disks, and computational methods for high-performance astrophysical simulations. Research interests include: Protostars and accretion bursts Protoplanetary disk dynamics Gravitational instability in stellar systems Young stellar objects and disk winds Computational astrophysics with hybrid parallelization ALMA observational constraints Recent publications highlight his contributions to modeling high-mass star formation and optimizing Fortran-based simulations. He participates in academic events like the Graz Vienna Exoplanet Science Meetings and leads research projects on star formation and galaxy evolution. His work involves collaborations with institutions using ALMA surveys and gravitational instability analysis.

• Talent and giftedness promotion
• Gender aspects in educational socialization
• Stereotype research
• +6 more

Dr. Gregor Jöstl serves as Professor of Giftedness and Talent Development at the University College of Teacher Education Lower Austria (PH NÖ) since 2020, where he is affiliated with the Department of Educational Sciences and leads the ResearchLAB. His academic profile spans multiple institutions through his roles as lecturer at the University of Vienna and Karl Landsteiner Private University. As a trained psychologist (University of Vienna, completed 2008), he maintains a parallel career as an independent psychologist and evaluator. Dr. Jöstl's research program centers on talent and giftedness promotion, gender aspects in educational socialization, stereotype research, imposter syndrome, lifelong learning, motivation promotion, and self-regulation. His work particularly emphasizes promoting educational motivation among girls/women and boys/men across secondary and tertiary education sectors. His research integrates psychological perspectives with practical educational applications, aiming to develop evidence-based interventions for classroom settings. Notably, he has developed the REFLECT program for reflective coeducation in classrooms, addressing gender stereotypes through practical teaching approaches. Analysis of his publication record reveals a strong interdisciplinary focus spanning educational psychology, gender studies, and gifted education. Over the past decade, he has published extensively on the imposter phenomenon in academic careers, reflexive coeducation approaches to address gender stereotypes, and competencies for successful learning in higher education. His work demonstrates consistent collaboration with colleagues from the University of Vienna, particularly with Prof. Christiane Spiel's research group. Dr. Jöstl has presented his research at numerous international conferences including the International Congress of Applied Psychology and conferences of the German and Austrian Psychological Societies. His work on gender sensitivity in Austrian schools, self-regulated learning competencies, and gifted education has contributed significantly to evidence-based educational practices in Austria and beyond.