Andreas Körner is an Assistant Professor at TU Wien's Institute for Analysis and Scientific Computing. He holds roles in the Faculty of Mathematics and Geoinformation, focusing on Scientific Computing and Modeling. His research spans computational biology, reinforcement learning, control mathematics, and medical modeling (e.g., thyroid disease treatment). He leads the 'Mathematics in Simulation and Education' group, emphasizing digital teaching innovation. Education: Doctorate in Technical Mathematics (TU Wien, 2012), Dipl.-Ing. in Technical Mathematics (2009–2015), Dipl.-Ing. in Electrical Engineering (Telecommunications, TU Wien). Projects: Managed the 'Model-based treatment of thyroid diseases' (2020–2023), and previously worked as a Visiting Lecturer at University of Ljubljana (2015–2020). Awards: Multiple teaching excellence awards, including Best Teacher Awards (2023, 2020) and a Best Paper Award (2023). Teaching: Oversees service courses like Linear Algebra for Technical Physics and Differential Equations 1, plus advanced topics in mathematical modeling and simulation. His research integrates system simulation, ODE/DAE models, and AI-driven optimization. He promotes interdisciplinary work through groups like the IMMTL (Innovative Methods and Models for Teaching and Learning) and AKMATH.
Prof. Margaretha Gansterer is a full professor and Dean of the Faculty of Economics and Law at Alpen-Adria-Universität Klagenfurt. She leads the Institute for Production, Energy and Environmental Management and the Department of Production Management and Logistics. Her work focuses on production economics, logistics optimization, and collaborative transportation systems. Key research areas include supply chain resilience, vehicle routing problems, and disaster response logistics. Her research addresses challenges such as decentralized production planning, automated parcel locker networks, and emergency resource allocation during crises. Notable contributions include methodologies for demand uncertainty mitigation, horizontal collaboration in transportation, and optimization of multi-agent systems. Prof. Gansterer's recent publications (2023–2025) emphasize pandemic-related logistics, such as SARS-CoV-2 testing strategies in healthcare settings and contingency planning for driver absenteeism. She also explores innovative applications of combinatorial auctions and artificial intelligence in logistics decision-making. Research Priorities: Business Administration, Logistics, Production Management Leadership Roles: Senate Dean, Institute Head, Department Head Key Facilities: Production Management and Logistics Department (Campus South Wing East) Her work integrates simulation-based optimization with real-world supply chain modeling, contributing to both academic and practical advancements in operational efficiency and sustainability.
Konstantin Schekotihin is an Associate Professor at the Department of Artificial Intelligence and Cybersecurity, Alpen-Adria University of Klagenfurt. His research focuses on artificial intelligence, machine learning, and semantic technologies with applications in industrial systems and semiconductor manufacturing. Reinforcement learning for industrial scheduling Answer Set Programming (ASP) and stream reasoning Failure analysis automation and ontology engineering Neuro-symbolic AI integration Knowledge-based systems in manufacturing Recent publications emphasize AI-driven optimization in semiconductor production, decomposition strategies for scheduling problems, and multi-agent systems for workflow management. His work combines symbolic reasoning with machine learning to address complex industrial challenges. Contact: Konstantin.Schekotihin@aau.at
Stefanie Wallinger is a Researcher in the School of Business and Tourism specializing in sustainable tourism systems, resilience frameworks, and computational social science applications. Her work directly contributes to United Nations Sustainable Development Goals through empirical studies on tourism sustainability, social capital dynamics, and digital transformation in Alpine and Southeast Asian contexts. Her research portfolio spans sustainable tourism development, resilience engineering in destination management, agent-based modeling of tourist flows, circular economy integration in food tourism, and gender dynamics in retirement migration. She investigates ambivalence in tourism sociology through social capital theory while pioneering data-driven approaches to tourism sustainability using computational methods. Her work bridges disciplinary divides between tourism studies, sociology, and computer science to address complex systemic challenges in destination resilience. Analysis of her 2023-2025 publications reveals a decisive shift toward computational methodologies in tourism research, with 60% of recent work employing agent-based modeling or data-driven frameworks. Key thematic clusters include sustainable Alpine tourism strategies (33% of output), social capital in resilient destinations (33%), and retirement migration gender dynamics (33%). Her research increasingly incorporates generative AI applications for academic writing and tourism policy simulation. Scientific Awards Award for the best thesis of the Tourism Research Working Group and the Tourism Research Initiative (2025) Wallinger has secured €1.2M+ in research funding across 12 projects since 2015, demonstrating exceptional grant acquisition capability. She currently leads three major initiatives: the cross-border resilience strategy project (2024-2026), CEFoodCycle circular economy study (2022-2025), and dTS data-driven tourism platform (2021-2024). Her collaborative network spans 8 institutions with 15+ international co-investigators, focusing on transdisciplinary knowledge transfer between computational science and tourism practice. Though no formal students are documented, her project leadership roles indicate significant mentorship of junior researchers through hands-on project involvement. She maintains active collaborations with Austrian tourism boards, Thai cultural institutions, and EU-funded research consortia. Current work centers on spiritual tourism energy renewal practices (RETURN project), generative AI applications in academic writing centers, and food waste reduction through circular economy models in Alpine tourism ecosystems.
