جست‌وجوی استاد و پژوهشگر

• Legal Studies
• Media Law
• Education Policy
• +۳ مورد دیگر

Prof. Franz Hartlieb is a Professor and Deputy Head of the Institut für Rechtswissenschaften at Alpen-Adria-Universität Klagenfurt. His research focuses on legal studies, media law, and democratic processes, with a particular emphasis on media literacy and policy. He has contributed to projects like the #NoFakeFacts citizen science initiative, aimed at enhancing media literacy among youth. His work integrates interdisciplinary approaches, including collaborations on education policy and public policy analysis. Prof. Hartlieb has published extensively in journals like *Journal of Higher Education Development* and *Physical Review E*, addressing topics ranging from swarm intelligence to legal commentary. His teaching spans legal education and research methodologies. He has secured research funding from institutions such as the Austrian Agency for International Cooperation in Education and Research (OeAD) and the Austrian Research Promotion Agency (FFG). His professional roles include administrative leadership at the institute and active participation in academic conferences and editorial roles.

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Yuliia Lomonosova is a Tutor at the Alpen-Adria-Universität Klagenfurt's Faculty of Technical Sciences, affiliated with the Institut für Artificial Intelligence und Cybersecurity. Her research focuses on cybersecurity, artificial intelligence applications, and data privacy. She contributes to projects such as multi-agent localization systems, media literacy initiatives, and technology-driven solutions for industries like agriculture and renewable energy. Notably involved in collaborative and funded research projects with organizations like the Austrian Research Promotion Agency (FFG) and the Carinthian Economic Development Fund (KWF). Her work emphasizes practical applications of AI and cybersecurity in GPS-disturbed environments and educational contexts.

• Cryptography
• Cybersecurity
• Hardware Security
• +۳ مورد دیگر

Elisabeth Oswald is a University Professor at the Alpen-Adria-Universität Klagenfurt, affiliated with the Institut für Artificial Intelligence und Cybersecurity. Her research focuses on cryptographic security, side-channel attacks, and leakage detection in hardware and software implementations. She is a key contributor to advancements in cryptographic resilience, countermeasures against side-channel vulnerabilities, and the development of efficient security evaluation frameworks. Her work spans theoretical and applied cryptography, with a strong emphasis on practical security challenges in embedded systems and cryptographic protocols. Notable areas include the analysis of masking techniques, multi-task learning applications in AES implementations, and the certification of leakage-resistant systems. She also explores statistical methods for evaluating cryptographic systems' robustness, such as mutual information estimation and distinguisher-based approaches. Her articles from 2021–2025 highlight contributions to post-quantum cryptography (e.g., FrodoKEM optimization), leakage model completeness, and the practical implications of side-channel countermeasures. While no specific awards are listed, her extensive publication record underscores her influence in the field. She is actively involved in academic governance, including membership in the Curricularkommission Informatik.

• Artificial Intelligence
• Robotics
• Control Systems
• +۳ مورد دیگر

Jan Steinbrener is an Associate Professor at the University of Klagenfurt's Institute for Intelligent System Technologies and serves as Vice Rector for Research and International Affairs, leading the Research Council. His roles include overseeing research strategy, international collaborations, and faculty research activities. Research Interests: Steinbrener focuses on robotics, artificial intelligence, and autonomous systems. His work emphasizes sensor systems, UAV navigation, and embedded AI applications. Projects include drone-based wind turbine inspection and AI-driven control systems for industrial robotics. Grants & Projects: He leads initiatives funded by the Austrian Research Promotion Agency (FFG), including 'Wind Turbine Blade Inspection Using Multimedia Drones' and 'Embedded AI - Shaping the Future of Power Electronics.' Collaborative projects with Carinthian Economic Development Fund and Infineon Technologies highlight his industry-academia partnerships. Academic Contributions: Steinbrener's research spans robotics, control systems, and sensor technology. Key publications include studies on UAV navigation algorithms, light-field imaging, and reinforcement learning applications in robotics.

• Artificial Intelligence
• Machine Learning
• Multimedia Systems
• +۳ مورد دیگر

Thomas Brandauer is affiliated with the University of Klagenfurt under the Faculty of Technical Sciences . His academic role is primarily research-focused, with involvement in projects related to AI, machine learning, and multimedia systems. Research interests include: AI applications in medical imaging 6G network technologies Machine learning for educational tools Drone-based perception systems Current work focuses on collaborative research in technological innovation, particularly within Austria. No specific awards or student advisement details are mentioned in the available data.

Lisa Affengruberمشاهده پروفایل

پژوهشگر

• Evidence-based Medicine
• Public Health
• Health Literacy
• +۴ مورد دیگر

Lisa Affengruber, MSc is an Academic Associate at the University for Continuing Education Krems, affiliated with the Department for Evidence-based Medicine and Evaluation within the Faculty of Health and Medicine. Her work focuses on advancing evidence-based healthcare practices through methodological research, particularly in systematic reviews, rapid review methodologies, and health literacy. She has led or co-led multiple research projects funded by national and international organizations, including the 2019-2021 project 'Erforschung und Weiterentwicklung verschiedener Rapid Review Methoden' and the 2020-2023 evaluation of 'Snacks (Jausenküche) at Lower Austrian elementary schools.' Key research interests include health literacy conceptualization (especially among children/adolescents), stakeholder engagement in health policy, and improving efficiency in systematic review production. Her contributions span diverse topics from mental health treatment comparisons to environmental health interventions. Recent publications emphasize methodological advancements in rapid reviews and software tools, as well as qualitative insights into patient preferences and healthcare delivery challenges. She actively presents at conferences such as the Global Evidence Summit and European Public Health Conference, focusing on transdisciplinary approaches to health research. Lisa's research portfolio demonstrates a commitment to bridging gaps between academic evidence and real-world health policy/practice through innovative methodologies and stakeholder-inclusive approaches.

• Energy Efficiency
• Machine Learning
• Industrial Automation
• +۳ مورد دیگر

Aleksey Bratukhin is a Researcher at the University for Continuing Education Krems, based in the Center for Distributed Systems and Sensor Networks in Wiener Neustadt. His work focuses on energy efficiency optimization in HVAC systems, machine learning applications for industrial automation, and smart grid technologies. He has contributed to multiple FFG-funded projects including KI4HVACS (2022-2025) and CoolAIR (2018-2021), addressing challenges in predictive energy management and passive building cooling. Research Interests Machine Learning for Energy Systems Predictive Maintenance of HVAC Smart Grid Optimization Industrial Automation and IoT Thermal Modeling for Buildings Key Projects Principal contributor to HVAC energy optimization (KI4HVACS) Co-developed predictive nighttime ventilation systems (CoolAIR) Advanced fault detection in distributed industrial systems (SAMBA) Publications focus on IEEE journals/conferences, reflecting expertise in energy systems, smart grids, and industrial automation.

• Regenerative Medicine
• Orthopaedic Surgery
• Tissue Engineering
• +۴ مورد دیگر

Dr. Lukas Moser is a researcher at the University for Continuing Education Krems' Center for Regenerative Medicine. His work focuses on regenerative therapies for musculoskeletal disorders, particularly cartilage repair strategies and the application of artificial intelligence in diagnostic imaging. He has published extensively on surgical techniques, biomaterials, and stem cell applications in orthopaedic contexts. Research interests include evaluating minced cartilage viability, optimizing mesenchymal stem cell isolation methods, and analyzing AI-driven diagnostic improvements for knee osteoarthritis. His studies bridge basic science and clinical translation, addressing challenges in adopting innovative medical technologies into practice. Key projects: Systematic reviews on cartilage defect repair techniques, clinical surveys on AI adoption in surgery, and protocols for stem cell harvesting Methodological contributions: Innovations in blood product supplementation for cell culture and surgical instrument impact studies Lectures and presentations focus on extracellular vesicles in cartilage repair and interdisciplinary collaboration in translational medicine. His work emphasizes evidence-based approaches to improve patient outcomes through advanced biomaterials and computational tools.

Andreas Stöcklمشاهده پروفایل

استاد

• Large Language Models
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Andreas Stöckl is a Professor at the University of Applied Sciences Upper Austria, affiliated with the Research Center Hagenberg and the Digital Media Lab. His research focuses on Large Language Models, AI applications in various domains, and digital transformation. He has been actively involved in projects such as the Intelligent Decision Engine for software architecture and the WalkVR study on virtual reality walking behavior. His work bridges AI ethics, risk management, and practical applications in e-commerce and healthcare. Stöckl has received notable awards including the Best Paper Award (2022) and the EU Product Safety Award (2023). His research outputs span machine learning, wildlife accident modeling, and fact-checking methodologies using LLMs. Collaborations involve international teams addressing topics like human-centered AI models and automated data extraction from financial texts. He leads multiple projects including data-mining for product defect detection and CRISAM® Loop for AI-based risk management. His contributions emphasize interdisciplinary approaches, combining technical innovation with societal impact through AI-driven solutions.

Christoph Praschlمشاهده پروفایل

استادیار

• Wildlife Monitoring
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Christoph Praschl is an Assistant Professor at the University of Applied Sciences Upper Austria, based at the Research Center Hagenberg. He holds a Master's and Bachelor's in Software Engineering from the same institution. His research focuses on ICT applications in wildlife monitoring, energy systems, and healthcare technology. Key projects include wildlife accident risk modeling (using Gaussian Mixture Models) and orthopedic aid customization leveraging AI. Education: Master's in Software Engineering (2014–2017), University of Applied Sciences Upper Austria Bachelor's in Software Engineering (2014–2017), University of Applied Sciences Upper Austria Research Interests: Computer Vision, Machine Learning, Wildlife Monitoring, Energy Systems, Biodiversity Conservation, and Health Technology. His work integrates AI and statistical methods to address real-world challenges in ecology and healthcare. Recent Projects: Wildschwein Project (2024–2025): Developing digital tools for wild boar carcass detection BAMBI (2022–2025): Airborne biodiversity monitoring via UAVs PASS (2017–2019): Plan analysis using self-learning solutions Advising & Grants: Collaborates on interdisciplinary projects, including wildlife risk assessment and energy storage systems. No formal advisees listed. Labs/Teams: Active in the Research Center Hagenberg and the Medical Engineering/TIMed Center.

Sascha Senckمشاهده پروفایل

استادیار

• Additive Manufacturing
• X-ray Computed Tomography
• Materials Science
• +۳ مورد دیگر

Sascha Senck is an Assistant Professor at the University of Applied Sciences Upper Austria, affiliated with the Research Center Wels. He leads research initiatives in Additive Manufacturing, Materials Science, and Advanced Imaging Techniques. His work focuses on X-ray Computed Tomography (X-CT), phase contrast imaging, and defect analysis in advanced materials like carbon fiber reinforced polymers and magnesium alloys. Key projects include PEMOWE (energy transition testing), HyperMAT (hyperspectral material analysis), and TCA5 (diabetic foot imaging). He collaborates with regional industries and academic institutions across Austria and the Czech Republic. His research has been featured in media outlets for innovations in 3D-printed medical implants and non-destructive testing methods. Senck has supervised multiple interdisciplinary projects and holds an h-index of 16 with over 747 citations. His lab focuses on developing advanced manufacturing techniques and medical imaging solutions for industrial and clinical applications.

• Mobile Computing
• Human Activity Recognition
• Wearable Devices
• +۴ مورد دیگر

Stephan Selinger is a Professor at FH Hagenberg, part of the University of Applied Sciences Upper Austria. He specializes in the Department of Information and Communications Technology (ICT), focusing on wearable devices, human activity recognition, and energy expenditure prediction. His research integrates machine learning, sensor technology, and data analysis to address challenges in health monitoring, sports science, and navigation systems. He is a Co-Investigator in the EDDIE project (2023-2025), a Horizon-funded initiative developing distributed energy data infrastructure. His work spans topics like Kalman filtering for positioning, smart sock-based power estimation, and comparative studies of wearable device performance. Dr. Selinger has organized academic events and peer-reviewed conferences such as IoT 2015 and MUM 2012. His research outputs include 13 publications since 2006, with notable contributions in energy expenditure modeling and activity recognition algorithms.

Wolfgang Aignerمشاهده پروفایل

استاد

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +۳ مورد دیگر

Wolfgang Aigner is a Professor and Deputy Head of the Faculty of Engineering and Business at the University of Applied Sciences St. Pölten. He leads the Institute of Creative Media Technologies and is affiliated with the Department of Media and Digital Technologies. His expertise spans Information Visualization, Visual Analytics, and Human-Computer Interaction, with a focus on time-oriented data. He holds a PhD from TU Wien and a Habilitation in Practical Computer Science. Education : PhD (Dr. techn.) in Computer Science, TU Wien (2006) Habilitation (Priv.-Doz.), TU Wien (2013) MSc (Dipl.-Ing.) in Computer Science, Johannes Kepler University Linz and TU Wien (1997-2003) Research : Aigner's work emphasizes visual analytics for time-series data and data journalism. Key projects include VALiD (Visual Analytics in Data-Driven Journalism) and VisOnFire (workflow visualization). He authored over 125 peer-reviewed articles and the book Visualization of Time-Oriented Data (Springer, 2011). Projects & Labs : Active in initiatives like KAVA-Time, IoT4LAC, and Trust AI. He leads research groups in Media Computing, focusing on areas like Data Science, Health Informatics, and Machine Learning.

• Statistical Genetics
• High Performance Computing
• Bioinformatics
• +۳ مورد دیگر

Roles and Affiliations: Associate Professor of Applied Statistics at the Department of Mathematical Sciences, Purdue University Fort Wayne. Member of the College of Science. Active in Google Scholar and ResearchGate academic networks. Email: yorgovd@pfw.edu Research Interests: Focuses on statistical genetics, particularly in developing methods for analyzing human complex traits such as admixture mapping and association testing. Also engaged in kinship estimation in heterogeneous populations, high performance computing, and bioinformatics. Explores applications of R and Python in data science education and research. Teaching: Instructs courses like STAT242 (Introduction to Data Science with R) and provides free access to DataCamp courses for students. Known for creating R tutorials and computational tools for statistical analysis.

Andreas Gartusمشاهده پروفایل

پژوهشگر

• Empirical Aesthetics
• Visual Perception
• Cognitive Neuroscience
• +۳ مورد دیگر

Andreas Gartus is a researcher at the Faculty of Psychology , University of Vienna , affiliated with the Department of Cognition, Emotion, and Methods in Psychology . His work focuses on empirical aesthetics, exploring how visual features like symmetry and complexity influence aesthetic experiences in art and everyday life. He is responsible for managing the Cognition Research Lab , EEG Lab Vienna , and the EVA LAB (Empirical Visual Aesthetics). His research integrates computational methods, statistical analysis, and neurophysiological techniques to study emotional responses to art, embodied cognition, and decision-making processes. Key research areas include the psychological and neural mechanisms behind aesthetic judgments, the role of context in art perception, and the application of machine learning to analyze visual stimuli. He has contributed to over 28 peer-reviewed publications since 2011, with recent work examining movement behavior in art galleries, symmetry preferences, and emotional video analysis. His activities include international conference presentations and collaborations across disciplines. His studies often address how embodied experiences (e.g., facial muscle responses, movement) interact with aesthetic evaluation, reflecting a multidisciplinary approach to understanding human perception and emotion. Despite no listed awards, his extensive publication record highlights sustained contributions to empirical aesthetic research.