Radomir Dinic is a lecturer and researcher at Salzburg University of Applied Sciences, specializing in Multimedia Technology. He holds a BSc and MSc in Media Informatics from the same institution. Research Interests: His work focuses on Augmented and Virtual Reality applications Computer vision for health monitoring Mobile food portion estimation systems Game development for educational purposes Scientific Recognition: Austrian CG Award (2015, 2016) State of Salzburg Science Award (2017) Key Projects: YoKaisho (AR board game hybrid) NIVA (VR exploration art game) EatAR (nutritional assessment AR app) SmartSignCapture (sign language to 3D avatars) Ecomedicine VR (therapeutic waterfall simulation)
Mirjam Ernestus is a Professor of Psycholinguistics at the Centre for Language Studies within Radboud University's Faculty of Arts. She serves as Chair of the Editorial Board of Radboud University Press and Scientific Director of the Centre for Language Studies since 2017. Her career spans 20+ years in psycholinguistics and phonetics research. Member of Royal Netherlands Academy of Arts and Sciences Recipient of ERC Starting Grant and NWO VICI grant Specializes in speech comprehension and conversational speech Research Focus: Her work integrates psycholinguistics and phonetics to explore auditory word recognition, morphological processing, and cross-linguistic speech phenomena. She develops computational models like DIANA for speech comprehension analysis. Publication Trends: Recent studies examine exemplar-based processing differences between native/non-native speakers, phonetic-morphological interactions, speech rate dynamics, and multimodal language learning approaches. Her work frequently applies machine learning and experimental paradigms. Awards: ERC Starting Grant (2011) NWO VICI grant (2011) KNAW membership (2015) EURYI Award (2006) Leadership: She has directed major research initiatives including the gravitation project Language in Interaction and the Research Unit Spoken Morphology. Her management roles include overseeing 160+ researchers at the Centre for Language Studies.
Ronald Maier is a Professor for Information and Knowledge Management at the School of Management, University of Innsbruck, Austria. He has held this position since February 2007, following previous appointments at Martin-Luther-University Halle-Wittenberg (2002-2007) and as Visiting Assistant Professor at the University of Georgia (1998-1999). His academic credentials include a PhD in Management Information Systems from WHU and a habilitation from the University of Regensburg. Maier's research focuses on collaboration engineering , connectivity , crowdsourcing , digital change , and knowledge management . His work explores knowledge maturation processes, idea convergence techniques, and knowledge protection in networked settings. He has developed theoretical frameworks like the Knowledge Appropriation Model and KEP model for workplace learning. His recent publications (2022-2025) show a strategic shift toward human-AI collaboration, examining generative conversational AI's impact on team dynamics and work practices. Earlier work established foundations in crowdsourcing, idea convergence, and knowledge maturation, with publications in top journals like Journal of Management Information Systems and Computers in Human Behavior . Maier has led work packages in major EU projects including KnowCom, MATURE, ARISTOTELE, POSECCO and LAYERS. His research has appeared in books such as Knowledge Management Systems and Knowledge Management in Digital Change , along with numerous high-impact journal articles across information systems and knowledge management disciplines.
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.
Aleksandar Borković is a Researcher at the Institute of Structural Mechanics , Graz University of Technology. His work focuses on advanced computational methods in structural engineering, particularly isogeometric analysis, finite strip modeling, and van der Waals interactions in slender structures. Department: Institute of Structural Mechanics Email: aborkovic@tugraz.at His research bridges theoretical mechanics and practical engineering applications, addressing nonlinear dynamics, contact mechanics, and geometrically exact formulations. Recent publications highlight innovative approaches to modeling molecular interactions in fiber systems and optimizing computational efficiency for structural simulations. The 15 most recent articles demonstrate expertise in: Van der Waals attraction in curved beams Geometrically exact isogeometric formulations Finite strip method for stiffened plates Contact dynamics in beam-to-beam interactions Nonlinear stability analysis of thin-walled structures Moving load simulations in spatial beams He has also contributed to educational software development for structural analysis, emphasizing real-time visualization and numerical accuracy.
Eranda Dragoti-Cela is an Associate Professor at the Department of Optimization and Discrete Mathematics, Graz University of Technology. She specializes in combinatorial optimization, focusing on polynomially solvable special cases of NP-hard problems like the Quadratic Assignment Problem (QAP), portfolio optimization, and algorithmic graph theory. Education: M.Sc. in Applied Mathematics, University of Tirana (1992) Ph.D. in Technical Sciences, Graz University of Technology (1995) Habilitation in Applied Mathematics (2001) Her research spans combinatorial optimization (QAP, assignment problems, location problems), portfolio optimization (risk-return models, ordinal information integration), and graph theory (edge intersection graphs, network flows). Recent work includes linearization of quadratic shortest path problems and data arrangement on trees. She supervises bachelor's and master's theses in discrete mathematics and teaches courses like Combinatorial Optimization 1 and Risk Theory and Management , emphasizing algorithmic rigor and practical applications in finance and engineering.
Landerl Karin is a full Professor at the Institute of Psychology , Faculty of Natural Sciences, University of Graz. Her research focuses on reading development , dyslexia , numerical cognition , and cross-linguistic educational psychology , particularly in Germanic languages. She has served as associate editor and editorial board member for prominent journals like Scientific Studies of Reading and Reading and Writing (2008–2021). Her recent work investigates the interplay between reading, arithmetic, and cognitive skills , with genome-wide studies on reading/language-related genetic variation. Email: karin.landerl@uni-graz.at Research Networks: Brain and behavior, BioHealth, Complexity of Life
Stephan Karl, Mag. Dr.phil., is a researcher based at the Institute for Antiquity , Faculty of Humanities , University of Graz . His work bridges traditional Classical Archaeology with cutting-edge digital techniques such as 3-D scanning, GIS and CT analysis. Academic Background He earned his doctorate in 2013 from the University of Graz with the dissertation "Turris antiqua in castro Leybentz. On the earliest construction history of the Leibnitz/Seggau castle complex in the context of the late antique eastern flank of the province of Noricum Mediterraneaneum." Research Focus Early Greek pottery (Geometric, Corinthian, East Greek) Roman stone monuments and marble quarries, especially the Spitzelofen quarry in Carinthia Digital documentation using SLS/CT/ALS/GIS technologies Late Antique fortifications and settlement structures in the south-eastern Alps His publications range from detailed monographs on Roman quarrying to comprehensive Corpus Vasorum Antiquorum fascicles that catalogue and digitise ancient ceramic holdings in Austrian museums, demonstrating a consistent integration of scientific analysis with archaeological interpretation. Awards & Recognition 2013 Erna Diez Prize awarded by the Historical Commission of Styria (Austria) for outstanding scholarly contributions. Project Leadership & Collaboration Between 2011 and 2022 Dr Karl has led or participated in several major externally-funded projects: FWF project “Crossmodal search and visual exploration of 3-D cultural objects” (2018-2021) FWF/ARRS bilateral project “Early Medieval Settlement Structure in the Southeastern Alps” (2019-2020) BDA projects on the Spitzelofen marble quarry area (2015-2016, 2019-2020) EU-ETC/SI-AT project “InterArch-Styria” (2011-2014), fostering cross-border digital heritage initiatives. Since 2016 he has served as referee for the Journal of Archaeological Science , and has been an active member of interdisciplinary working groups on Scientific Computing & Cultural Heritage.
Thomas Rattei is a Professor at the University of Vienna , affiliated with the Faculty of Chemistry and specifically the Department of Microbiology and Ecosystem Research . His work bridges computational biology with microbial ecology, focusing on metagenomics, virology, and environmental systems science. Research Interests: Metagenomics, Virus-Host Interactions, Secondary Metabolism, Ancient DNA Analysis, Computational Modeling of Microbial Communities Recent research includes PROSPECTOMICS for hydrocarbon prospecting, PyCoMo for metabolic modeling, and studies on Antarctic bacterial biodiversity. Collaborations span multidisciplinary teams, including computational biologists, microbiologists, and environmental scientists. His 2024-2025 publications highlight advancements in metagenomic databases (GlobDB), virus-host interaction frameworks (VOGDB), and ecological insights into microbial communities across diverse environments. Current Projects: PROSPECTOMICS: Omics for Hydrocarbon Prospecting (2024-2027) MC VIROINF: Virus-Host Interactions (2021-2024) ELIXIR STEERS: Collaborative Research (2024) Activities: Lectures on microbial community modeling (2024), Poster presentations at scientific conferences
Gabriele Kotsis is a Full Professor at the Institute of Telecooperation, Johannes Kepler University Linz, with extensive contributions to Artificial Intelligence research. Her institutional presence spans multiple departments through interdisciplinary projects while maintaining her primary affiliation with JKU's engineering-focused research units. Her research expertise encompasses: Natural Language Processing and Neural Machine Translation systems Reinforcement Learning applications for Smart Grid optimization Mobile Computing and Multimedia Intelligence frameworks Big Data Analytics and Database Systems innovation Human-centered AI development methodologies Recent publications (2024-2025) reveal a strategic focus on practical AI implementations addressing multilingual communication barriers and energy efficiency challenges. Her work consistently bridges theoretical AI advances with real-world applications across multiple domains. Professor Kotsis maintains an active supervision record with thesis guidance and leads multiple funded research initiatives. Her current portfolio includes: 'Enhancing Neural Machine Translation' project (2025-2026) for Southeast Asian languages 'INTES' regulatory compliance ecosystem (2023-2026) 'Human-centered Artificial Intelligence' initiative (2022-2026) Through her leadership in international conferences (iiWAS, MoMM, DEXA) and editorial roles for major proceedings, she maintains significant influence in the global computer science research community while advancing JKU's research profile.
Privatdozent Dr. Dr. Ingo Feinerer serves as the Head of Faculty of Engineering at the University of Applied Sciences Wiener Neustadt in Austria. With two doctoral degrees and the Habilitation qualification (indicated by Privatdozent), he holds a senior academic position equivalent to Associate Professor in many systems. His research interests span multiple disciplines: Text Mining and Computer Science (class diagrams, schema mapping, domain constraints) Radiobiology and Ion Therapy for advanced cancer treatment Social Network Analysis and digital media History of Psychology and academic journal evolution Prof. Feinerer's work demonstrates exceptional interdisciplinary breadth, connecting technical computer science with medical physics applications and historical analysis. His current major research initiative is the PAIR project (2022-2026), which focuses on expanding radiobiological understanding of ion beams for cancer treatment. This project recognizes ion therapy using protons and carbon ions as the most advanced radiation-based cancer treatment due to its physical and biological advantages over conventional photon beams. His publication record spans from 2007 to 2025, with 36 publications including 18 journal articles and 15 conference papers. Recent publications show a shift toward medical physics applications while maintaining connections to his computer science expertise, as evidenced by the 2025 paper on an open-source framework for pre-clinical ion-beam research. As Head of Faculty, Prof. Feinerer oversees academic programs and research activities within the Faculty of Engineering, contributing to both educational leadership and active research in his diverse fields of expertise. His ORCID identifier (0000-0001-7656-8338) provides a persistent link to his scholarly work across these interdisciplinary domains.
Michael Rauter serves as a Research Associate at the University of Applied Sciences Wiener Neustadt (FHWN) within the Faculty of Health and the Competence Center for Preclinical Imaging and Medical Technology. His work bridges computer science and medical applications, focusing on advanced imaging techniques for radiotherapy and assisted living technologies. Dr. Rauter's research interests include: Medical imaging for precision radiotherapy GPU-accelerated image processing Virtual and mixed reality applications in healthcare Computer vision for medical diagnostics Assisted living technologies and home care systems His recent publications show a clear evolution from computer vision applications in security systems toward medical applications. The 2024 paper on accelerating transfer function updates for volume rendering represents the current focus on optimizing medical visualization techniques, while earlier works from 2013 demonstrate foundational expertise in GPU-accelerated computer vision. Dr. Rauter is actively involved in multiple research projects funded by organizations including FFG (Austrian Research Promotion Agency) through the Active Assisted Living Programme. His current projects include PAIR (2022-2026) and Applied Molecular Imaging (2021-2026), with previous contributions to Care about Care (2021-2023) and CARU Cares (2019-2022). As a member of the Competence Center for Preclinical Imaging and Medical Technology, Dr. Rauter contributes to research that integrates advanced imaging modalities with radiotherapy, aiming to improve cancer treatment through personalized precision approaches. His work combines technical expertise in computer vision and GPU programming with medical applications to advance healthcare technologies.
Dr. Ali Ozkes is a Research Professor at the Institute for Public Management & Governance and an affiliated researcher at the Competence Center for Applied AI & Scientific Computing at Vienna University of Economics and Business. He also holds a part-time professorship at SKEMA Business School. His academic journey includes a habilitation from University Paris 1 Panthéon-Sorbonne, a doctorate from École Polytechnique in Paris, a master's from Istanbul Bilgi University, and bachelor's degrees from the University of London and LSE. Dr. Ozkes' research spans several interconnected fields: Collective decision-making processes and consensus building Ethics of artificial intelligence and human-AI interaction Public administration and organizational behavior Behavioral social sciences and social choice theory Strategic decision-making in public and nonprofit sectors His recent publications (2024-2025) show a strong focus on the intersection of AI ethics, public administration, and organizational decision-making. Key themes include consensus building in leadership teams, ethical frameworks for AI in public sector applications, and cognitive models of decision-making. His work frequently appears in top journals across management, public administration, and AI ethics domains. Scientific recognition includes: WU Visiting Fellowship for Japan (2019) Dr. Ozkes actively supervises graduate students and has served on numerous doctoral committees. His research is supported by multiple interdisciplinary projects, including 'Morality, social choice and artificial intelligence' (2019-2021) and 'Establishment of an international research center for experimental financial markets' (2020-2025). He has collaborated with institutions worldwide including Aix-Marseille University, Caltech, Lund University, and Waseda University. Dr. Ozkes contributes significantly to academic service as co-editor of code and data for Management Science and co-editor of a special issue of Theory and Decision. He is also a member of several prestigious academic societies including the Academy of Management, Association for Computing Machinery, and Society for Social Choice and Welfare. His expertise was instrumental in developing the Code of Conduct for General Purpose AI Models under the EU AI Regulation.
Georg Arbesser-Rastburg is a researcher at the Institute of Human-Centred Computing, Faculty of Computer Science, Graz University of Technology (TU Graz), Austria. He holds a BSc and Dipl.-Ing. in engineering and focuses on applying information technology to water infrastructure challenges and virtual reality-based energy simulation. Research Interests: Water Supply Management under Climate Change Virtual Reality for Urban Energy Data Visualization Serious Games for Water Resource Awareness Optimal Sensor Placement in Water Networks Trading Mechanisms in Digital Economies His recent publications demonstrate a clear trend toward gamified engineering tools, merging virtual reality with hydraulic modeling to address sustainability challenges in urban water systems and energy efficiency. Key projects include EWA (web-based water supply awareness) and VR4UrbanDev (immersive energy data visualization), reflecting interdisciplinary collaboration between computer science and civil engineering. Awards: ÖVGW Studienpreis 2020 for innovative water supply research Arbesser-Rastburg actively secures research funding through projects like GAIA (2024-2026) on green infrastructure impacts and contributes to public discourse through Austrian media coverage of his water management tools. His work emphasizes practical applications for climate adaptation in urban infrastructure.
Sibylle Moser is a Professor at the University of Applied Sciences St. Pölten, where she serves as Head of the Center for Cultural and Creative Industries and Senior Researcher in the Media Creation Research Group at the Institute of Creative\Media/Technologies. Her academic trajectory includes prior positions as Professor of Media Studies & Cultural Management at UAS Kufstein (2017-2023), CEO of Community Radio Orange 94.0 (2011-2017), and visiting professorships at the University of Vienna. Her research employs systemic models and embodied cognition frameworks to investigate: User/visitor experience in museums and gardens Mixed-method designs for empirical art/culture studies Cognitive semiotics of intermodal analogy in multimedia Cross-disciplinary connections between media theory and practice Her publications exhibit strong thematic continuity in analyzing how embodied cognition shapes meaning-making across artistic media, with recent focus on sensory dimensions of cultural experiences. She leads the Center for Cultural and Creative Industries and collaborates within the Media Creation Research Group, developing transdisciplinary approaches to digital culture and creative technologies.
