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Tiziana Di MatteoView profile

Professor

• Econophysics
• Complex Systems
• Complex Networks
• +3 more

Professor Tiziana Di Matteo is the world's first Professor of Econophysics at King's College London (KCL), appointed in 2014. She is affiliated with the Department of Mathematics within the Faculty of Natural & Mathematical Sciences. Additionally, she serves as External Faculty at the Complexity Science Hub in Vienna and is a member of the UCL Centre for Blockchain Technologies. Her roles include Enterprise and Engagement Lead at KCL and Knowledge Exchange Champion for the UK Knowledge Exchange Hub for Mathematical Sciences. Di Matteo holds a BSc (Hons) in Physics (1994) and a PhD in Physics (1999) from the Università di Salerno, Italy. Her research focuses on interdisciplinary applications of physics to economics and finance, spanning: Econophysics : Analyzing financial markets using statistical physics. Complex Systems & Networks : Studying interdependencies in financial and social systems. Data Science : Developing tensor-based methods for multidimensional forecasting. Her 120+ publications predominantly explore volatility modeling, network theory, and machine learning applications in economics. Recent work emphasizes multiscaling analysis, blockchain impacts, and pandemic-related economic resilience. Scientific Awards: Elsevier’s Most Cited Article Award (2010) QEII Fellowship (2003-2008) INFM/CNR Fellowships (1994-1995) Erasmus Fellowship (1992) She leads PhD students (names unspecified) and collaborates globally. Editorial responsibilities include serving as Main Editor for Physica A and Editor for Chaos, Solitons & Fractals .

• Optimization
• Algebra
• Computer algebra
• +2 more

Daniel Brosch is a Postdoctoral Researcher (Researcher) at the Institute of Mathematics, University of Klagenfurt, holding a doctorate (Ass. Dr.) and Master of Science degree. His contact details include email daniel.brosch@aau.at, homepage http://www.danielbrosch.com, and office N.2.19 in the Main Building's North Wing West. Dr. Brosch's research spans Optimization, Algebra, Computer algebra, Combinatorics, and Graph theory, forming an integrated focus on discrete mathematics and computational algebra with applications in computer science and operations research. His work in computer algebra and graph theory emphasizes algorithmic methodologies, while optimization and combinatorics address structural problem-solving in complex systems. As an active postdoctoral researcher, he contributes to the Institute's scholarly output. Though specific projects, grants, or advising roles aren't detailed in available text, his position indicates ongoing engagement in mathematical research and academic collaboration within the university's research ecosystem.

• Literary history
• German studies
• Cultural studies
• +8 more

Sabine Seelbach is a Professor at the Department of Linguistics and Literature, University of Klagenfurt. Her research focuses on medieval German literature, including discourse interferences in vernacular texts, knowledge literature, courtly narratives, and early German humanism. She also engages with cultural studies, hagiography, and narrative theory. Her work explores interdisciplinary connections between medieval literature and modern academic practices, such as editorial studies and the application of narrative theory. Recent publications address topics like swarm dynamics, political microtargeting avoidance, and university third mission initiatives, reflecting her broad intellectual curiosity across humanities and social sciences. Seelbach has contributed to over 35,000 publications, emphasizing methodological innovation in literary analysis. She actively participates in academic governance and peer review, contributing to conferences and editorial boards. Her research bridges historical textual analysis with contemporary societal challenges, maintaining a strong presence in both traditional and emerging scholarly discourses.

• Artificial Intelligence
• Cybersecurity
• Computer Science
• +3 more

Michael Morak is a Professor at the Department of Artificial Intelligence and Cybersecurity, Alpen-Adria-Universität Klagenfurt, affiliated with the Faculty of Technical Sciences. He holds the titles Privatdozent, Diplom-Ingenieur, and Doctor. His research focuses on artificial intelligence, cybersecurity, and computer science, with notable contributions in logic programming, answer set programming, and algorithmic methods. He has led and contributed to multiple research projects funded by entities like the Austrian Research Promotion Agency (FFG) and the Austrian Agency for International Cooperation in Education (OeAD), addressing topics such as multi-agent systems, radar simulation, and educational technology. His work spans theoretical advancements, including reversibility in planning and dynamic programming, as well as practical applications like interactive SQL learning tools (aDBenture). He collaborates with industry partners, including Infineon Technologies, and has published extensively in top-tier conferences and journals. Morak’s teaching emphasizes innovative methods in computer science education, leveraging game-based learning and interactive platforms to enhance student engagement. Key areas of research include formal methods in AI, algorithmic complexity, and the integration of logic programming with real-world systems. His projects often bridge academia and industry, aiming to solve complex challenges in cybersecurity, robotics, and educational innovation.

Anja BauerView profile

Associate Professor

• Responsible Research and Innovation (RRI)
• Policy Modeling
• Technology Assessment
• +5 more

Assoc. Prof. Anja Bauer holds a position at the Department of Society, Knowledge and Politics at Alpen-Adria University of Klagenfurt. Her academic roles include serving as Deputy Head and Program Director for studies in the field. She has held previous appointments as Assistant Professor (2020-2024), Post-Doc Researcher (2018-2020), and lecturer roles at multiple institutions including BOKU Vienna and FH Technikum Wien. Her research focuses on Responsible Research and Innovation (RRI), computational modeling in policy advice, and the governance of environmental and technological challenges. Bauer's academic journey includes a Habilitation in Science and Technology Studies (2023), a PhD in Environmental and Resource Policy (2015), and an M.A. in Political Science (2003). Her work bridges empirical social research with applied policy analysis, emphasizing participatory mechanisms in decision-making processes and the role of technology assessment in public policy. Her publications (2023-2015) address themes such as computational models in EU trade policies, societal engagement in emerging technologies like synthetic biology, and the cultural dimensions of climate policy advice in Austria. Bauer has led projects at the Austrian Academy of Sciences and contributed to international studies on climate adaptation governance and innovation policies across Europe. Her research highlights challenges in translating scientific insights into actionable policies, particularly in contexts requiring long-term foresight and stakeholder collaboration. Bauer’s work underscores the importance of integrating societal values into technological and environmental governance frameworks.

• Information Systems
• Computer Science
• Process Modeling
• +3 more

Josef Lubas is a PhD candidate in the Research Group Information and Communication Systems at the University of Klagenfurt , Austria. He holds a BSc and MSc and is supervised by Prof. Johann Eder. His work focuses on process modeling, temporal constraints, and legal technology applications in smart contracts. Education: BSc, MSc (details unspecified); current PhD candidate in Informatics Systems. Research Interests: Josef specializes in temporal aspects of process models , conflict resolution in workflow systems , and legal smart contracts . His work bridges theoretical computer science with practical applications in business process management and regulatory compliance. Publications (2020–2023): Focus on temporal logic applications in process scheduling, dynamic controllability, and integrating time-aware models into legal frameworks. Recent work emphasizes smart contract systems with legal enforceability. Labs/Teams: Member of Team ICS within the Information and Communication Systems group. Collaborates with Prof. Eder’s research team on temporal data modeling and process engineering.

• Artificial Intelligence
• Knowledge Engineering
• Machine Learning
• +3 more

Konstantin Schekotihin is an Associate Professor at the Institute of Artificial Intelligence and Cybersecurity , part of the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. His research focuses on AI-driven solutions for semiconductor manufacturing, failure analysis, and multi-agent systems. He specializes in reinforcement learning, scheduling optimization, and neuro-symbolic AI applications. His work bridges theoretical advancements with industrial challenges such as semiconductor fab automation and real-time process monitoring. He has collaborated with organizations like the Austrian Research Promotion Agency (FFG) and Infineon Technologies. Key research areas include: AI for semiconductor failure analysis workflows Reinforcement learning in manufacturing scheduling Multi-agent systems in immersive VR environments Neuro-symbolic AI for defect routing Predictive modeling for equipment maintenance Recent projects involve optimizing ion implantation processes, developing FA ChatBots, and improving social presence in VR simulations. His work emphasizes scalability, explainability, and real-world applicability of AI systems.

• Wireless Networks
• Telecommunications
• Stochastic Analysis
• +3 more

Udo Schilcher is a researcher affiliated with the University of Klagenfurt’s Institute for Networked and Embedded Systems, part of the Faculty of Technical Sciences. His primary research focuses on wireless networks, telecommunications, and stochastic analysis, with particular emphasis on swarmalator systems, pulse-coupled oscillators, and network performance optimization. He contributes to the Information Technology Curricular Commission, shaping academic standards in his field. His work explores topics like LoRa network energy efficiency, interference dynamics in wireless systems, and self-organizing synchronization mechanisms. Schilcher’s publications span over a decade, addressing theoretical and applied challenges in IoT, network reliability, and adaptive systems. His research often bridges mathematical modeling with real-world applications in communication systems and smart infrastructure. Recent projects involve collaborative efforts on IoT applications, including LoRa network enhancements and cooperative relaying strategies. His interdisciplinary approach combines stochastic processes with engineering principles to address complex network challenges. Schilcher’s contributions to academic curricula and technical research highlight his role as both an educator and innovator in networked systems.

Daniel KrennView profile

Assistant Professor

• Discrete Mathematics
• Asymptotic Enumeration
• Analysis of Algorithms
• +5 more

Daniel Krenn is an Assistant Professor in the Mathematics Department at Paris Lodron University of Salzburg. He holds a Ph.D. in Technical Mathematics from TU Graz (2013) and a Habilitation in Mathematics from Alpen-Adria Universität Klagenfurt (2019). His research focuses on discrete mathematics, including asymptotic enumeration, analysis of algorithms, analytic combinatorics, digit expansions, and graph theory. He has contributed to software development in SageMath, particularly in automata and transducer modules. Education: 2003–2009: Diploma in Electrical Engineering (TU Graz) 2005–2008: Bachelor's in Technical Mathematics (TU Graz) 2008–2010: Master's in Mathematical Computer Science (TU Graz) 2010–2013: Ph.D. in Technical Mathematics (TU Graz) 2019: Habilitation in Mathematics (Alpen-Adria Universität Klagenfurt) Research Interests: Discrete Mathematics Analysis of Algorithms and Data Structures Digit Expansions and Cryptography Combinatorics and Analytic Number Theory Key Awards: Promotio sub auspiciis Praesidentis rei publicae (2013) Austrian Mathematical Society Study Prize (2013) Austrian Federal Ministry of Science and Research Prize (2013) Professional Contributions: Coordinator of the doctoral program “Discrete Mathematics” at TU Graz (2015) Contributions to SageMath software development Over 30 peer-reviewed publications in journals like Algorithmica, Theoretical Computer Science, and Journal of Number Theory

Markus GusenbauerView profile

Researcher

• Materials Science
• Computational Physics
• Magnetism
• +3 more

Dipl.-Ing.(FH) Dr. Markus Gusenbauer is a researcher at the University for Continuing Education Krems , affiliated with the Center for Modelling and Simulation . His work focuses on computational materials science, micromagnetics, and machine learning applications in magnetic materials. He leads projects such as "Towards the digital twin of a permanent magnet" and "Magnetism at interfaces: from quantum to reality" , funded by organizations like FWF and Bundesländer. His research includes optimizing permanent magnet performance, analyzing nanoscale defects, and developing machine learning models for material design. Key research areas include: Coercivity enhancement in magnets Micromagnetic characterization of MnAl-C materials Deep learning for hysteresis property prediction Stochastic micromagnetism and mesh-independent simulations His recent publications (2020-2024) address topics like rare-earth reduction in magnets, twin boundary effects, and conditional physics-informed neural networks. He actively participates in international conferences, presenting work on topics such as machine learning-assisted interface analysis and magnet design strategies.

Anna-Sophie NovakView profile

Researcher

• Legal Informatics
• E-Government
• Digital Administration
• +4 more

Anna-Sophie Novak serves as a Research Associate at the Center for E-Governance, University for Continuing Education Krems, where she focuses on the intersection of law, technology, and public administration. Her research spans digital governance frameworks, legal informatics, and disinformation regulation, with significant contributions to EU and nationally funded projects including 'Young Citizen Scientists against Disinformation' and 'Intelligent and sovereign use of data using the example of the timber industry'. Novak's research interests center on transforming legal and administrative processes through digital innovation. Her work examines how AI and automation can reshape administrative procedures while maintaining legal integrity, with particular focus on data governance frameworks and citizen participation in digital government. She investigates the tension between fundamental rights principles like purpose limitation and efficiency-driven concepts like the Once-Only Principle in digital service delivery. Analysis of her publication record reveals consistent thematic development from foundational legal informatics research toward increasingly sophisticated examinations of AI governance in public administration. Her recent work shows growing emphasis on disinformation regulation and citizen-centric digital participation models, reflecting broader societal concerns about digital trust and democratic engagement. The interdisciplinary nature of her publications demonstrates strong collaboration between legal scholars, computer scientists, and public administration experts. Novak actively contributes to practical implementations of digital governance through multiple funded projects with diverse stakeholders including Austrian federal ministries, FFG, and EU institutions. Her work bridges theoretical frameworks with practical applications in areas such as digital legislation, automated administrative procedures, and legal information systems design.

Verena SchmidView profile

Researcher

• Digital Governance
• Artificial Intelligence in Public Administration
• Blockchain Technology
• +5 more

Verena Schmid is a Researcher at the University for Continuing Education Krems, affiliated with the Center for E-Governance. Her work focuses on digital governance innovations, legal frameworks for automation, and interdisciplinary solutions for public sector challenges. She contributes to projects like DPP4Electronics (2024-2026) and 'Early disinformation recognition of dangerous online news trends' (2024-2025), funded by institutions like FFG and the Austrian Ministry. Her research explores AI integration in administrative processes, blockchain applications, and data-driven policy-making. She co-authored works on smart contracts, digital legislation, and automated decision-making systems. Schmid collaborates with experts across law, computer science, and public administration to address challenges in digital transformation. Key projects include 'Digitales Amt' (2019-2021) and 'Digitalisierungsfreundliche Gesetze' (2023), emphasizing legal infrastructure for emerging technologies. Her recent publications analyze AI ethics in public administration and blockchain governance solutions.

Michael AffenzellerView profile

Professor

• Genetic Programming
• Symbolic Regression
• Evolutionary Algorithms
• +6 more

Michael Affenzeller is a Professor at the University of Applied Sciences Upper Austria, leading the HEAL AIST Center of Excellence for Smart Production with a focus on Digital Transformation. His research spans Genetic Programming, Symbolic Regression, and Evolutionary Algorithms, with applications in optimization, AI, and manufacturing automation. He has authored over 400 publications and led major projects such as HCAI (Human-Centered AI) and HEAL, emphasizing interdisciplinary collaboration. Research interests include developing advanced algorithms for dynamic optimization, prescriptive analytics, and federated learning in industrial contexts. He has contributed to projects like LOISI (Logistics Optimization in Steel Industries) and SimGenOpt2, addressing challenges in production planning and workforce optimization. Key collaborations involve institutions in Austria and beyond, focusing on smart manufacturing, logistics, and AI integration. His work bridges theoretical advancements with real-world applications, driving innovation in energy systems, crane scheduling, and predictive maintenance. Grants and projects include funding from FWF (doc.funds.connect) and Upper Austrian initiatives, emphasizing doctoral training and industry partnerships. He actively participates in conferences such as EUROCAST and PPSN, contributing to algorithmic advancements and computational theory.

• Control Systems Engineering
• Automation Technology
• Sensor Technology
• +3 more

Reinhard Gahleitner is a Professor at the University of Applied Sciences Wels (FH Wels), specializing in control systems, automation, and robotics. His research focuses on sensor technology, mathematical modeling, and innovative control concepts for industrial applications. He has contributed to advancements in state observers, PI controllers, and experimental setups like the 'Ball on Ball' system. His research spans from 2008 to 2022, with notable work in smart home sensor applications, energy-efficient actuators, and real-time control systems. He holds an h-index of 10 and has been cited 2 times according to Scopus data. Reinhard has supervised one documented research project, though student names are not provided. His work emphasizes practical applications of control theory, blending theoretical models with engineering solutions.

Piotr KwiatekView profile

Professor

• Artificial Intelligence
• Sales Management
• Digital Transformation
• +3 more

Piotr Kwiatek is a Professor at Fachhochschule Oberösterreich's Research Center Steyr, specializing in Global Business Management. He holds a PhD from Poznan University of Economics and Business (2005) and completed an Artificial Intelligence and Machine Learning program at the University of Texas at Austin (2020). He serves as Vice President of the Global Sales Science Institute since 2007. His research focuses on AI applications in sales, digital transformation in B2B relationships, and firm performance dynamics. Key projects include the DIGIT/NAWA initiative exploring human-AI collaboration in data-driven contexts (2024–2026). Recent work analyzes AI-driven sales forecasting and the evolving role of relationships in digital business environments. He actively organizes international conferences such as the Cross-Cultural Business Conference and the DigiSpace Workshop, promoting interdisciplinary research and AI adoption. Supervised 2 academic works and maintains a h-index of 20 with 9 citations as of 2025.