جستجوی استاد راهنمای دانشگاهی

Johannes Oetschمشاهده پروفایل

پژوهشگر

• Answer Set Programming
• Neural-Symbolic Computation
• Visual Question Answering
• +۳ مورد دیگر

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

Thomas Michael Fischerمشاهده پروفایل

پژوهشگر

• Technostress
• NeuroIS
• Digital Stress
• +۴ مورد دیگر

Thomas Michael Fischer is a Researcher at FH Steyr, affiliated with the LOGISTIKUM and Research Center Steyr. His work focuses on Technostress, NeuroIS, Digital Stress, and Artificial Intelligence in Supply Chain Management. He leads and collaborates on projects such as 'Taking an Active Approach to AI Capability Maturity Engineering' and 'LOG-Logistikum.Retail 2.0', addressing digital transformation and resilience in logistics. His research includes developing assessment tools like the Digital Stressors Scale (DSS) and exploring cybersecurity in supply chains. Fischer has published widely on topics ranging from AI capabilities in Austrian supply chains to the impact of digital badges on education. He holds a doctoral degree and is actively involved in academic conferences and peer-review activities. Key collaborations include projects with industry partners and international teams, addressing challenges in cyber risks, supply chain resilience, and retail logistics. His contributions span over 40 publications, with a strong focus on applying digital technologies to solve real-world logistical and organizational issues.

Marina Luketinaمشاهده پروفایل

استاد

• Digital Transformation
• Tax Law
• Predictive Analytics
• +۳ مورد دیگر

Marina Luketina is a Professor at the Department of Accounting, Controlling and Financial Management at Fachhochschule Steyr. Her research focuses on digital transformation in tax law, AI applications in public administration, and predictive analytics in financial management. She has published extensively on topics like VAT compliance evaluation using large language models and regulatory challenges in digital platform economies. Her recent work explores the intersection of artificial intelligence and Austrian tax law, including studies on LLM capability assessment for tax cases and predictive analytics frameworks for tax authorities. She actively engages in academic discourse via invited talks on KI in tax auditing and standardization of tax reporting. Luketina has supervised seven scholarly works, contributing to both theoretical and applied research in financial management. Her presentations at international conferences highlight innovative risk management approaches in public finance sectors.

• Forest Growth
• Forest Monitoring
• Forest Inventory
• +۹ مورد دیگر

Arne Nothdurft is a University Professor for Forest Monitoring at the University of Natural Resources and Life Sciences (BOKU) in Vienna, Austria, where he chairs the Institute of Forest Growth within the Department of Forest and Soil Sciences. With a career spanning over two decades in forest research and academic leadership, he has established himself as a leading expert in advanced forest inventory techniques and forest growth modeling. Professor Nothdurft's research focuses on the application of cutting-edge technologies in forest monitoring, particularly LiDAR and personal laser scanning systems for forest inventory. His work bridges the gap between traditional forestry practices and modern digital solutions, with emphasis on mixed species forest management, climate change adaptation, and the development of smart forestry systems. His research interests encompass forest growth modeling, tree species classification using point cloud data, and the development of spatial prediction models for forest inventory parameters. His recent publications demonstrate a strong trend toward integrating artificial intelligence with forestry applications, particularly in the analysis of 3D point cloud data from laser scanning technologies. His work spans both theoretical advancements in spatial statistics and practical applications for forest managers, with a particular focus on improving the accuracy and efficiency of forest inventory systems. Thurn und Taxis Förderpreis für die Forstwissenschaft (2008) Professor Nothdurft has supervised numerous master's and doctoral theses, primarily focused on the application of laser scanning technologies in forestry, forest inventory optimization, and growth modeling. His research is supported by multiple ongoing projects funded by Austrian research agencies and federal ministries, with a strong emphasis on practical applications for forest management. He leads the Institute of Forest Growth, which maintains the Lehrforst Rosalia long-term forest monitoring site, and collaborates extensively with the Institute of Forest Engineering on smart forestry initiatives.

Christoph Beckerمشاهده پروفایل

استاد

• Just Sustainability Design
• Critical Systems Thinking
• Feminist Science and Technology Studies (STS)
• +۶ مورد دیگر

Christoph Becker is a Full Professor at the Faculty of Information and the School of the Environment at the University of Toronto. He leads the Just Sustainability Design Lab, focusing on transdisciplinary research that integrates sustainability and social justice into computing and technology design. His work addresses the urgent ecological and societal crises through critical examination of technological values and development of methods for equitable systems. Current affiliations: Faculty of Information, School of the Environment (University of Toronto) Research focus: Just Sustainability Design, Critical Systems Thinking, Feminist STS Becker’s research explores how computing’s entrenched myths about problem-solving and neutrality hinder sustainability and justice. He advocates for collaboration with critical disciplines to reorient technology toward ecological responsibility. His monograph Insolvent: How to Reorient Computing for Just Sustainability (MIT Press, 2023) was a finalist in the AAP PROSE Awards 2024 for Engineering and Technology. The work has been endorsed by leading scholars as essential reading for technologists and designers. His research is funded by the National Science and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Ontario Research Fund, and the School of Cities at the University of Toronto. Previously, he held roles directing the Digital Curation Institute at UofT (2014–2024) and developing international consortia for digital heritage projects in Europe. Grants: NSERC, CFI, Ontario Research Fund, School of Cities Former roles: Director, Digital Curation Institute (UofT) Becker’s lab creates design tools for urban computing projects, emphasizing collective action and equity. He critiques large language models and AI as unsustainable, advocating for low-tech solutions like bicycles or heat pumps. His social media presence highlights #TechOtherwise, #Degrowth, and #DisabilityJustice perspectives.

Brigitte Rathمشاهده پروفایل

دانشیار

• Multilingualism
• Digital Humanities
• Relational Literary Studies
• +۳ مورد دیگر

Brigitte Rath is an Associate Professor specializing in Comparative Literature at the University of Innsbruck's Department of Comparative Literature, housed within the Faculty of Philosophy and Cultural Studies. She holds leadership roles including Study Coordinator for Comparative Literature and heads the KI working group. Her academic trajectory includes positions since 2001 across institutions like Ludwig-Maximilians-Universität München and Princeton University. Her research focuses on multilingualism, relational literary analysis, and digital humanities. She explores texts defying singular linguistic categorization, such as pseudotranslations and contemporary poetry by Uljana Wolf. Additionally, she investigates how large language models like ChatGPT reshape literary studies. Her teaching spans undergraduate and graduate courses on comparative literature, digital humanities, and narrative theory. She advises master’s theses and organizes interdisciplinary colloquia on multilingualism and AI in academia. Rath’s publications include monographs like *Narratives Verstehen* (2011) and co-edited volumes like *Vom Verreisen in Versen* (2013). Her work appears in journals such as *SubStance* and *PAIDIA – Zeitschrift für Computerspielforschung*. She actively participates in academic networks like the Doktoratskolleg Grenzen and serves on advisory boards for cultural encounter initiatives.

• Democratization
• Comparative Politics
• Political Theory
• +۵ مورد دیگر

Prof. Dr. Christian W. Haerpfer is a prominent political scientist serving as President of the World Values Survey Association (WVSA) since 2013 and a university lecturer at the University of Vienna's Institute of Political Science since 2003. He holds the venia docendi qualification for political science and has been director of the Institute for Comparative Survey Research and founder/director of initiatives like the Eurasia Barometer and New Democracy Barometer. His research focuses on democratization in Eastern Europe/Eurasia, comparative electoral systems, and post-communist societal transformations. Education: PhD in Political Science/Modern History (University of Vienna, 1980), MSc in Political Science (University of Strathclyde, 1981), and academic teaching qualification (2003). He has held visiting professorships at universities in Glasgow, Kharkiv, Kigali, Kyiv, Prague, and Jerusalem. His awards include residential fellowships at the Leverhulme Trust, Woodrow Wilson Center, and European University Institute. Research emphasizes comparative survey methodologies, with a focus on understanding political support for democracy, electoral behavior, and sociopolitical change in post-communist regions. Recent publications explore democratization dynamics, health transitions post-communism, and social capital in Eurasia. His work bridges theoretical political science with applied survey research in transitional societies. Awards: Multiple residential fellowships at prestigious institutions highlight his scholarly impact. His advisory roles include chairing IPSA's Research Committee on Comparative Survey Research since 2009. Labs/Teams: Leads major cross-national survey projects (WVS, Eurasia Barometer) that analyze societal transformations across Eastern Europe and Eurasia through large-scale data collection and analysis.

• Cybersecurity
• Code Obfuscation
• Malware Analysis
• +۳ مورد دیگر

Sebastian Schrittwieser is a Researcher in the Research Group Security and Privacy, part of the Faculty of Computer Science. His work focuses on cybersecurity, code obfuscation, malware analysis, and machine learning applications in security. He leads and contributes to projects like INODES (Cyber Defense Strategies) and EMRESS (Resilience Evaluation Models). His research bridges theoretical foundations and practical applications, addressing challenges in software protection and threat detection. Key research interests include: Code Obfuscation Techniques and Resistance Adversarial Machine Learning and Risk Assessment Malware Analysis and Program Simulation User Behavior in Cybersecurity Contexts Recent publications emphasize empirical studies on IT/OT infrastructure security, graph neural network vulnerabilities, and quantum-inspired machine learning. He actively collaborates with institutions like SBA Research and presents at international conferences. Grants include Research Funding for projects on optimal cyber defense strategies (INODES) and software resilience evaluation (EMRESS). His work aligns with interdisciplinary efforts in security engineering and privacy-preserving technologies.

Egon Lüfteneggerمشاهده پروفایل

مدرس ارشد

• Business Process Management
• Sentiment Analysis
• Process Mining
• +۳ مورد دیگر

Egon Lüftenegger is a Senior Lecturer at Fachhochschule Salzburg's Department of Information Technologies and Digitalisation. His work bridges academia and industry through innovative process mining and sentiment analysis applications. PhD in Information Systems (TU Eindhoven) Focus on Service-Dominant Logic and Business Process Management Active in Industry 4.0 and Digital Transformation research His research explores sentiment-driven process redesign, technology-enabled social inclusion, and smart production analytics. Publications highlight process mining frameworks , LLM applications in BPM, and service-dominant business models . Current projects involve creating tools like SentiProMoWeb and Cost-Benefit Tracker, with applications in manufacturing, airline services, and education sectors.

Andreas Mildمشاهده پروفایل

دانشیار

• New product development
• Marketing models
• Revenue management
• +۸ مورد دیگر

Andreas Mild serves as Associate Professor and Deputy Head of Institute at the Institute for Production Management within the Department of Information Systems and Operations Management at Vienna University of Economics and Business (WU). His academic career spans over two decades with continuous research and teaching activities at WU, where he completed both his doctoral and habilitation degrees in Social Science and Economics. Dr. Mild's research focuses on quantitative approaches to business problems, particularly in new product development, revenue management, and decision support systems. His work bridges theoretical models with practical applications, especially in retailing and e-commerce contexts. Recent research has increasingly focused on the intersection of data science, artificial intelligence, and operations management, with significant contributions to understanding e-grocery operations and prediction markets. His publication record shows consistent scholarly output across top journals in operations research and management science, with recent work concentrating on food waste reduction in e-grocery systems, consumer preference modeling, and efficient last-mile delivery solutions. These publications demonstrate his ability to address contemporary challenges in retail operations through rigorous quantitative methods. Among his notable recognitions are the VHB Best Paper Award (2008) and multiple finalist positions for prestigious awards including the INFORMS Society for Marketing Science Practice Prize (2005, 2006) and the Franz Edelman Award for Achievement in Operations Research (2006). Dr. Mild maintains an active research agenda with current projects exploring the potential of Large Language Models for HR documentation (2025) and automated job description generation (2024), demonstrating his ability to adapt research focus to emerging technological trends while maintaining core expertise in decision support systems. His international teaching experience across Europe, Asia, and Australia reflects a global perspective in his academic work. His research activities are closely tied to practical business applications, with collaborations spanning multiple institutions and industries, particularly in the retail and logistics sectors where his work on e-grocery operations has gained significant attention.

• Corpus Linguistics
• Discourse Analysis
• Forensic Linguistics
• +۱۱ مورد دیگر

Mathew Gillings is Assistant Professor at the Institute for Language and Discourse in Business at WU Vienna University of Economics and Business. He earned his PhD in Linguistics from Lancaster University and previously served as an Associate Lecturer there. Current teaching: Qualitative and Quantitative Research Methods & Data Analysis; Applied Research Projects; Critical Perspectives on Management Communication Professional memberships: International Pragmatics Association (IPrA), International Association for Media and Communication Research (IAMCR), Research Committee for Association for Business Communication (ABC) Research Interests include: Corpus linguistics with focus on deception detection and digital discourse analysis Critical discourse analysis of climate change, business, political, and media narratives Sociopragmatics of (im)politeness across cultural and regional boundaries Methodological innovation through integration of corpus techniques with qualitative and quantitative approaches Interdisciplinary applications in humanities, social sciences, and business contexts Scientific Contributions demonstrate expertise in combining corpus methods with discourse analysis, LLMs, and forensic linguistics. His 2024 monograph Corpus Linguistic Approaches to Deception Detection established foundational work in this field. Advising & Collaboration includes mentoring through WU's in-house faculty training, academic proofreading services, and cross-sector consultancy in UK and DACH region. He actively collaborates with international scholars like Gerlinde Mautner and Jonathan Culpeper.

Ashutosh Modiمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Ashutosh Modi is an Associate Professor in the Computer Science and Engineering department at Indian Institute of Technology Kanpur. Previously, he conducted research at Disney Research in Pittsburgh, Los Angeles, and Zurich. His research interests span across Natural Language Processing , Machine Learning , and Artificial Intelligence , with specific focus on multi-modal Affective computing, Conversational Systems, and Natural Language Understanding. His work takes a statistical approach to developing natural language understanding models from statistical regularities in large corpora of text while leveraging linguistic theories. Dr. Modi has taught multiple courses at IIT Kanpur including: Statistical Natural Language Processing (CS779) - Fall 2020, Spring 2021, Spring 2023 Special Topics in Natural Language Processing (CS698O) - Winter 2020 Deep Reinforcement Learning (CS698R) - Fall 2021 Fundamentals of Computing (ESC101) - Spring 2022 His courses cover a comprehensive curriculum from basic linguistics fundamentals and language models to advanced topics like neural networks, word vectors, and transformer architectures including BERT. The teaching approach emphasizes both theoretical foundations and practical applications through research projects. Dr. Modi completed his PhD at Saarland University in Germany under the supervision of Prof. Dr. Manfred Pinkal and Dr. Ivan Titov. During his doctoral studies, he was associated with the Department of Computational Linguistics, MultiModal Cluster Initiative (MMCI), and Department of Computer Science.

Christian Staryمشاهده پروفایل

استاد

• Business Informatics
• Communications Engineering
• Knowledge Management
• +۵ مورد دیگر

Professor Christian Stary serves as Head of the Institute for Business Informatics - Communications Engineering at Johannes Kepler University Linz. With over 481 research outputs spanning conference proceedings, journal articles, book chapters, and literature reviews, he is a prominent figure in business informatics research. His research spans several key areas including Business Informatics, Communications Engineering, Knowledge Management, and Design Thinking. Professor Stary has published extensively on human-centric systems, AI applications in business processes, value network analysis, and digital process twins. His recent work focuses on integrating cognitive ergonomics with technological solutions to enhance human-computer interaction in business contexts. With 49 research projects to his name (11 currently active), Professor Stary has secured funding from various sources including EU programs and national research agencies. His current projects include 'KheepU Kommunikationsplattform' (2023-2026), continuing his long-standing research trajectory that began with projects like 'Scholion' in 2000. Professional Activities: Editor of the Journal of Interaction Science (Volumes 1-7 published 2013-2019) Head of Competence Center for Knowledge Management 384 recorded academic activities including invited talks and conference organization Professor Stary teaches doctoral seminars, dissertation colloquia, and master's thesis seminars, emphasizing practical applications of business informatics principles. His teaching approach integrates Design Thinking methodologies with AI applications, preparing students for contemporary challenges in business information systems.

• Artificial Intelligence
• Artificial Neural Networks
• Information Systems
• +۳ مورد دیگر

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