جستجوی استاد راهنمای دانشگاهی

Bernhard Rengsمشاهده پروفایل

پژوهشگر

• Agent-Based Modelling
• Demography
• Population Economics
• +۵ مورد دیگر

Bernhard Rengs is a researcher affiliated with the Vienna Institute of Demography (VID), part of the Austrian Academy of Sciences. He previously served as Assistant Professor at the Institute for Mathematical Methods in Economics at Vienna University of Technology (2003–2014). His work bridges computer science and economics, focusing on computational agent-based models applied to demography, population economics, socio-economics, and forced migration. Education: Holds degrees in computer science and economics from Vienna University of Technology. Research interests include agent-based computational social simulation, evolutionary economics, and information visualization. Current projects address refugee migration patterns, socio-economic integration, and policy impacts using advanced computational methods. Selected Publications (2023–2013) focus on Ukrainian refugee self-selection, refugee family structures, climate policy modeling, and global value chains. His work combines empirical data analysis with agent-based modeling to address complex socio-economic challenges. No formal awards listed, but contributions to migration and computational demography are widely recognized. Collaborations include the Wittgenstein Centre for Demography and Global Human Capital, with interdisciplinary teams addressing demographic transitions, migration dynamics, and policy implications. His research emphasizes practical applications of computational models for understanding societal systems and informing evidence-based policies.

Martin Loidlمشاهده پروفایل

پژوهشگر

• GIS and Mobility
• GIS in Planning
• Cartography and Geovisualization
• +۳ مورد دیگر

Dr. Martin Loidl is a researcher in Geoinformatics at the University of Salzburg's Department of Geoinformatics - Z_GIS, part of the Faculty of Digital and Analytical Sciences. His work focuses on GIS applications in mobility, urban planning, and cartography. Key projects include developing tools like NetAScore for assessing bikeability and walkability, and frameworks for analyzing transportation networks. He has authored over 75 publications, with recent work emphasizing spatial analysis for sustainable urban mobility. His research integrates agent-based modeling, spatial data science, and real-world transportation challenges. Education: Dr., MSc in Geoinformatics. Key Projects: GISMO Study on active commuting, Bike Sharing System Planning, Digital Twins for Urban Sustainability. Research Interests: GIS and mobility optimization, cartography, agent-based simulations, and spatial data science for urban planning. His contributions include software tools like NetAScore and frameworks for bicycle infrastructure analysis. Grants & Awards: Secured funding from various research initiatives; part of interdisciplinary teams addressing urban mobility challenges. Labs/Teams: Mobility Lab | UNIGIS, collaborating on projects like the Bicycle Observatory and spatial network analysis.

• Wood Technology
• Renewable Resources
• Materials Science
• +۵ مورد دیگر

Martin Riegler is a researcher at the Institute of Physics and Materials Science , part of the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advanced material analysis and sustainable construction within the wood technology sector. Specializes in electrical resistivity measurements of wood Applies machine learning to wood machining acoustics Studies adhesive bondlines modified with carbon fillers Investigates moisture dynamics in wood Recent publications highlight his contributions to smart wood composites , non-invasive testing , and machine learning applications in wood processing. He has presented research at international conferences and collaborated with institutions like the Northern European Network for Wood Science and Engineering. Riegler's work intersects with Materials Science , Wood Technology , and Sustainable Engineering , particularly in optimizing particleboard production and wood moisture prediction . His research spans technical innovation and environmental stewardship in forestry applications.

Johannes Scholzمشاهده پروفایل

استاد

• Geospatial Artificial Intelligence (GeoAI)
• Geospatial Knowledge Graphs
• Semantics and Ontologies in Geography
• +۱۲ مورد دیگر

Johannes Scholz is a Full Professor for Geoinformatics at the Department of Geoinformatics (Z_GIS) at Paris-Lodron-University Salzburg. He leads the GeoAI, GeoKG, and GeoSemantics research group and holds secondary roles in academic governance, including membership in the Curricularkommission Geographie at Salzburg and the Austrian Standards TC 084 committee. He has held visiting positions at the University of California, Santa Barbara, and prior affiliations include Associate Professor at Graz University of Technology and Senior Researcher at Research Studios Austria - Studio iSPACE. His research interests span geospatial artificial intelligence, knowledge graphs, semantics, and numerical optimization, with applications in energy transition, digital tourism, and cyber-physical systems. Projects include Agent-based simulation for energy systems GeoHumanities integration Indoor geography analysis Selected scientific awards include the ISPRS Outstanding Reviewer Award (2020) and the Forschungspreis der Steiermark (2011). He has secured significant funding for projects such as "Virtual Shepherd" (FFG 2024) and "ABM4EnergyTransition" (FFG 2022).

• Modelling & Simulation
• Health Policy and Planning
• Data Science
• +۳ مورد دیگر

Nikolas Popper is a Senior Scientist and Research Fellow at the Technische Universität Wien (TU Wien), affiliated with the Department of Data Science (E194-04). He leads the DEXHELPP initiative (Decision Support for Health Policy and Planning) as its director and chairs the COMET Initiative. His primary research focuses on modeling and simulation of dynamic systems, particularly in healthcare, logistics, and biomedical engineering. Key areas include hybrid simulation, comparative modeling, and the integration of data-driven methods into policy decision-making. Popper's academic roles include teaching courses on modeling and simulation, health technology assessment, and advanced simulation techniques. He has pioneered the use of agent-based models to address public health challenges, notably during the COVID-19 pandemic, where his work supported Austrian policy decisions. His interdisciplinary projects span railway optimization, vaccine strategy modeling, and patient-centric health technologies. He holds leadership positions in multiple academic societies, including ISPOR (Austrian Chapter President), EUROSIM, and ASIM. Notable awards include the 'Österreicher des Jahres' (Research Category, 2021) and the Gerhart-Bruckmann-Preis (2021). His research has been funded by grants from the Austrian government, FFG, and FWF, addressing topics like vaccination prioritization and pandemic response systems. Popper’s contributions extend to founding initiatives like the 'drahtwarenhandlung' science production studio and the dwh GmbH spin-off from TU Wien. He actively engages in public discourse on data-driven decision-making and pandemic modeling through media and conferences.

Sara Merino-Aceitunoمشاهده پروفایل

استاد

• Kinetic Theory
• Partial Differential Equations
• Emergent Phenomena
• +۳ مورد دیگر

Sara Merino-Aceituno is a Professor at the Faculty of Mathematics, University of Vienna. Her research focuses on kinetic theory and its applications to emergent phenomena in biology, medicine, and social sciences. She employs partial differential equations, probability, numerical simulations, and modeling to study systems where macroscopic patterns arise from microscopic interactions, such as cancer formation, pedestrian dynamics, and angiogenesis. She leads the Vienna Research Group for young investigators (WWTF-funded) project on kinetic theory applied to fertility, cancer, and development, collaborating with experimentalists and interdisciplinary teams. Education and Affiliations: No explicit educational details provided, but she holds a professorship at the University of Vienna. Her group, The HERD (Mathematics of Emergence in Natural Domains), includes researchers like Claudia Mußnig-Wytrzens, Carmela Moschella, and Havva Yoldas. Research Projects: WWTF Vienna Research Group grant (2018–2026): 1.6 million euros for studying kinetic theory in fertility, cancer, and development. Funded by FWF as part of SFB 65 'Taming Complexity in PDEs' for work on emergent properties in collective dynamics. Collaborates with biologists (e.g., Christa Bücker, Shotaro Otsuka) and mathematicians (e.g., Pierre Degond, Christian Schmeiser) on interdisciplinary projects. Scientific Contributions: Her work bridges mathematical theory and real-world systems, including modeling cell behavior in tissues, collective motion of particles, and opinion dynamics on networks. Publications span topics like nematic alignment in swarms, mechanical constraints in epithelia, and continuum modeling of social systems. Labs/Teams: Her team (The HERD) focuses on applying kinetic theory to biological and social systems. Collaborators include experimentalists and computational scientists, emphasizing cross-disciplinary synergy.

Stefan Haeusslerمشاهده پروفایل

دانشیار

• Production Planning
• Logistics Management
• Workload Control
• +۷ مورد دیگر

Stefan Haeussler is an Associate Professor at the Department of Information Systems, Production and Logistics Management within the University of Innsbruck , Austria. His academic career spans since 2009, starting as a University assistant while completing his PhD in Management. He holds dual diplomas in Business Administration (2009) and Political Science (2010) from the same university. Specializing in production and logistics management, Häussler combines optimization techniques with machine learning approaches to address complex manufacturing challenges. His research focuses on Workload control systems Order release mechanisms Lead time management Reinforcement learning applications Semiconductor manufacturing optimization Behavioral operations in supply chains Recent publications highlight his work on integrated production planning , explainable AI for powertrain control , and dynamic workload allocation . He actively presents at major conferences like Winter Simulation Conference, EURO, and International Working Seminar on Production Economics. Häussler also teaches master's level courses and supervises thesis work in production economics, while serving as a guest lecturer on topics at the intersection of AI and manufacturing.

• Geodesy
• Geographic Information Systems (GIS)
• Spatial Modeling
• +۷ مورد دیگر

Rizwan Bulbul is a researcher at the Institute of Geodesy , Graz University of Technology (TU Graz), Austria. His work bridges geodesy, geographic information systems (GIS), and computational modeling. Research Interests : Bulbul's research focuses on geospatial modeling, artificial intelligence integration, and sustainable urban development. Key areas include smart tourism simulations, energy transition policy analysis, and off-road robotic navigation using machine learning. His work also addresses forest fire prediction uncertainty, vertical photovoltaic potential, and cattle tracking in alpine environments. Publications : His research spans spatial optimization, 3D city modeling, and semantic routing. Recent projects involve leveraging AI for tourism simulations and energy policy evaluation, demonstrating interdisciplinary applications of geospatial technologies. Contact : Email: bulbul@tugraz.at Office: TU Graz, Steyrergasse 30/I, Room ST01122

Philipp Zechمشاهده پروفایل

استادیار

• Software Engineering
• Requirements Engineering
• Software Architecture
• +۱۴ مورد دیگر

Philipp Zech is an Assistant Professor in the Department of Computer Science at Universität Innsbruck, where he conducts research and teaches in the areas of software engineering, model-driven engineering, digital twins, and modeling & simulation. His office is located in the ICT building (room 3S04), and he is actively involved in research and supervision of master's students. Research Interests: Software Engineering: Requirements Engineering, Software Design, Software Architecture, Development Processes, Testing Model-driven Engineering: Systems Modeling, Domain-specific Languages, Models@runtime Modeling & Simulation: Discrete-Event Systems, System Dynamics, Agent-based and Physics-based Modeling, Co-simulation Machine Learning: Stochastic Optimization, Time Series Imputation, Reinforcement Learning, Surrogate Modeling Digital Twins: Model-driven Engineering, Architectures, Applications Scientific Awards: Best Research Paper Award at BauSim 2024 Advising and Grants: Dr. Zech supervises master's theses in software engineering and computer science, with current topics including digital twin modeling, neural network-based building simulation, low-code environments, and model-based life cycle engineering. He collaborates with industry partners such as TCS and EEB, as well as academic colleagues like Michael Vierhauser. Although specific grants are not listed, his research focus suggests involvement in projects related to smart systems, simulation, and software quality. Labs and Teams: He is a key member of the Quality Engineering (QE) research group at Universität Innsbruck, which focuses on end-to-end IT quality management of systems and IT landscapes. The group is actively engaged in both academic research and practical student projects.

Martin Bicherمشاهده پروفایل

پژوهشگر

• Agent-Based Modeling
• Simulation
• Epidemiology
• +۳ مورد دیگر

Martin Bicher is a Researcher at the Institute for Information Systems Engineering (E194) within the Faculty of Informatics at Vienna University of Technology (TU Wien), affiliated with the E-Commerce Research Area and Network Lab. His work bridges computational modeling and public health, with a focus on agent-based simulation for epidemiological decision support. His primary research interests include Agent-Based Modeling , Simulation , and Epidemiology , with significant contributions to understanding SARS-CoV-2 transmission dynamics, vaccination strategies, and pandemic response systems. His methodology emphasizes Decision Support Systems that integrate multi-model approaches for real-world policy challenges, particularly evident in his extensive COVID-19 research portfolio spanning modeling, forecasting, and intervention evaluation. Analysis of his recent publications reveals a dominant focus on computational epidemiology, where he pioneers agent-based simulation frameworks for vaccination optimization, contact-tracing effectiveness, and variant surveillance. His work consistently integrates interdisciplinary perspectives—combining operations research, environmental science, and public health—to address complex pandemic dynamics, with notable methodological contributions in Monte Carlo simulation and integrated modeling frameworks. As an active FWF (Austrian Science Fund) project researcher, he collaborates extensively with institutions like the Complexity Science Hub Vienna, evidenced by frequent co-authorship with Nikolas Popper and Claire Rippinger. His leadership in the Network Lab drives innovation in simulation-based decision support for public health crises, with emerging work on election safety during pandemics and wastewater surveillance systems.

Günter Schneckenreitherمشاهده پروفایل

پژوهشگر

• Computational Statistics
• Epidemiological Modeling
• Agent-Based Simulation
• +۳ مورد دیگر

Günter Schneckenreither is a researcher affiliated with the Computational Statistics research area at Technische Universität Wien (TU Wien). His work spans interdisciplinary applications of computational methodologies to epidemiology, public health, and biomedical modeling, with a focus on agent-based simulations and cellular automata. Research Interests: Heterogeneity in disease transmission, age-dependent SIR models, synthetic data generation for pandemics, and fractional diffusion processes in structured populations. Publications: Recent research includes epidemiological modeling of SARS-CoV-2 immunization levels, melanocytic proliferation simulations, and comparative studies of epidemic modeling frameworks. Projects: Active participant in ARGESIM benchmark studies, integrating cellular automata and differential equations for epidemic simulations. Methodologies: Specializes in dynamic causal modeling, fractal topological structures, and multiplex social network analysis.

Lukas Zenkمشاهده پروفایل

استاد

• Creativity & Innovation
• Social Network Analysis
• Applied Improvisation
• +۴ مورد دیگر

Lukas Zenk is a Professor of Innovation and Network Research at Danube University Krems, Austria. He serves as Deputy Research Leader and is affiliated with the Department of Knowledge and Communication Management. His work bridges creativity, network analysis, and organizational improvisation, focusing on complex environments and societal challenges. Current research themes: Creativity & Innovation, Social Network Analysis, Applied Improvisation Key projects: Meta-competences for unpredictable situations, Framework of organizational improvisation, TISE sustainability education Methodologies: Agent-based modeling, dynamic network visualization, LEGO Serious Play workshops Zenk's research explores how organizations adapt through improvisation, with publications analyzing network dynamics in post-merger integration, pandemic responses, and sustainability transitions. His work emphasizes transdisciplinary collaboration and complexity literacy in education and policy. Recent studies investigate: Meta-competencies in crisis scenarios Personality traits' impact on pandemic conspiratorial thinking Dynamic models for organizational and societal resilience

• Colon and Rectal Cancer Surgery
• Laparoscopic Surgery
• Surgical Oncology
• +۳ مورد دیگر

Klaus Emmanuel is a Professor and Head of Department at the University Clinic for Surgery, Medical University of Salzburg. His primary affiliation is within the School of Medicine, focusing on surgical oncology and gastrointestinal surgery. Research interests include colorectal cancer treatment, laparoscopic and robotic surgical techniques, and outcomes analysis. His work emphasizes improving postoperative outcomes, neoadjuvant therapy impact, and surgical precision in complex procedures like total mesorectal excision. Publications (139 total) span surgical innovations, clinical trials, and case reports, with recent focus on body composition's role in oncologic survival and complications of gastrointestinal surgeries. He has actively organized major surgical conferences like Chirurgie Compact since 2019, emphasizing educational and collaborative initiatives. Key activities: Organized 19 conferences/workshops since 2011 Recent activities include leadership in Neuroendocrine Surgery symposiums and emergency surgical training courses No specific scientific awards are listed in the provided text.

• Computer Simulation
• Electrical Power Engineering
• Information Technology
• +۷ مورد دیگر

Wilfried Elmenreich is a Professor at the Institute for Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He holds roles as Member of the Senate and Member of the Works Council for Academic University Staff. His research focuses on computational systems, energy engineering, and smart technologies, including swarm intelligence, cyber-physical systems, and sustainable energy solutions. Key interests include non-intrusive load monitoring (NILM), renewable energy integration, and decentralized learning paradigms. Research priorities encompass computer simulation, electrical power engineering, complex systems, and self-organization. Notable work includes frameworks like SwarmFabSim for production scheduling and CPSwarm for swarm robotics design. He also explores sustainability education and pandemic-related behavioral shifts in sustainability attitudes. Recent publications highlight advancements in federated learning for smart grids, energy disaggregation using NILM, and applications of biologically-inspired algorithms in critical infrastructure. His work integrates simulation reproducibility, open-source tools like Gradle/Docker, and educational games for renewable energy awareness (e.g., DAYSAM). Labs/Teams: Core member of the Institute for Networked and Embedded Systems, leading projects in CPS design, energy systems, and swarm robotics. Collaborates on EU initiatives like CPSwarm and educational outreach in sustainable development.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Prof. Gerald Steinbauer-Wagner is an Associate Professor at TU Graz's Institute of Software Engineering and Artificial Intelligence. He specializes in autonomous intelligent systems, focusing on decision-making architectures for robots in uncertain environments. His research integrates software engineering, AI, and robotics to develop reliable systems for applications in disaster response, planetary exploration, and industrial automation. Research Interests: Steinbauer-Wagner's work addresses challenges such as robot navigation in unstructured terrains, human-robot collaboration, and trustworthiness in autonomous systems. Key areas include explainable AI, fault diagnosis, and multi-robot coordination. His team explores solutions for off-road robotics, collective perception, and certification of autonomous systems. Recent Projects: Current initiatives include developing autonomous systems for subterranean rescue missions (ROBO-MOLE), optimizing robot localization using machine learning, and creating educational frameworks for AI literacy in schools. His group also contributes to the RoboCup Logistics League and planetary exploration cascades through analog missions like AMADEE-20. Awards & Recognition: No specific awards listed, but his work has been recognized through extensive publications in top venues like IEEE/RSJ IROS, ICRA, and RoboCup symposiums. Lab & Teams: Leads the Autonomous Intelligent Systems (AIS) research group at TU Graz, collaborating with industry partners like the Smart Factory. His team develops integrated robot systems for production, logistics, and disaster response scenarios.