Karline Soetaert is a Professor at Utrecht University's Department of Earth Sciences and a Research Leader at the Netherlands Institute for Sea Research (NIOZ). Her work bridges physics, (biogeo)chemistry, biology, and ecology through field data acquisition and mechanistic/statistical modeling. Master in Zoology (1983) Master in Computer Sciences (1985) PhD in Biology (1988) Her research focuses on marine ecosystem modeling, particularly benthic-pelagic coupling, sediment-water interactions, and environmental modeling. She pioneered transport-reaction models and inverse modeling techniques in sediment biogeochemistry, enabling advanced data assimilation and sensitivity analysis. Recent publications emphasize marine biogeochemistry, fisheries integration with biogeochemical models, and computational methods for coastal ecosystems. These works highlight her expertise in combining open-source software (e.g., R-packages) with ecological and environmental modeling. Elected Honorary Fellow of the European Society of Computational Methods in Science Engineering (2010) Soetaert leads projects like UUNIOZ_Greenland fjords, SANDBOX_Smart and sustainable design for offshore operations, and EMODnet_Biology. Her teaching includes environmental modeling at the University of Ghent and marine ecosystem modeling at Utrecht University, where she advocates for open science and reproducible research using R with markdown.
Vanessa Fröhlich is a Researcher at the Competence Center for Preclinical Imaging and Medical Technology within the Faculty of Health, specializing in advanced medical imaging techniques. Her work bridges preclinical radiation research, molecular imaging, and artificial intelligence applications in radiology. Education: Master's degree in MedTech (approved February 5, 2016) Bachelor's degree in radiology technology (approved July 11, 2013) Her research focuses on high-field magnetic resonance imaging (15.2T) for cancer studies, with emphasis on geometric distortion correction in preclinical settings and AI-driven image analysis. Key areas include neoplasm imaging, blood-brain barrier studies, and molecular imaging techniques for breast cancer subtypes. She develops open-source computational pipelines to enhance multimodal data processing in radiation research. Recent publications (2024-2025) demonstrate a strong trend toward open-source tool development for preclinical imaging and AI validation in mammography. Her work addresses critical challenges in high-field MRI distortion correction while advancing quantitative analysis methods for radiation therapy applications. Fröhlich actively participates in major research initiatives including the PAIR project (2022-2026) and Applied Molecular Imaging project (2021-2026), collaborating with interdisciplinary teams on molecular imaging technologies and preclinical radiation methodologies. These projects provide critical infrastructure for her computational imaging research. As a core member of the Competence Center for Preclinical Imaging and Medical Technology, she contributes to cutting-edge research on preclinical imaging platforms, working with teams focused on translating advanced imaging techniques to clinical applications in oncology and neurology.
Harald Burgsteiner is a Professor for Media Didactics and Media Informatics at the Pädagogische Hochschule Steiermark (University College of Teacher Education Styria). His research focuses on integrating media technologies into educational practices, including artificial intelligence (AI), internet of things (IoT), and computational thinking in K-12 curricula. He leads projects exploring the synergy between educational technologies and self-regulated learning, as well as AI literacy among educators. His work addresses pandemic-related challenges in distance learning and digital transformation impacts on vocational training. Teaching areas include media education, computer science didactics, and AI integration in teacher training. He collaborates with the Institute for Digital Media Education to develop innovative teaching platforms like A2IoTS and AIoT solutions. Recent studies examine AI implementation in primary schools, AR-enabled IoT tools, and teacher preparedness for emerging technologies. His international research spans European SME digitalization and cross-cultural pandemic education responses. Publications highlight interdisciplinary approaches combining computational thinking with entrepreneurship and green skills. He has systematically reviewed teacher technology adoption, AI literacy gaps, and post-pandemic educational strategies. Current projects emphasize practical applications of machine learning in education and scalable digital solutions for schools. Key Research Themes: AI in Education, EdTech Innovation, Digital Transformation, Interdisciplinary Learning Collaborations: Institute for Digital Media Education, Styrian School Networks, EU-funded projects Public Engagement: Conference organization for doctoral researchers in education, policy advising on tech integration
**Dominik Bork** is an Assistant Professor at the Department of Business Informatics within the Faculty of Informatics at TU Wien. His core research focuses on conceptual modeling, model-driven engineering, and the integration of artificial intelligence into enterprise systems. He leads projects such as the Network Lab and has coordinated initiatives like the Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen and MFP 4.2 Advanced Analytics for Smart Manufacturing . His work emphasizes GLSP-based web modeling tools , including the development of open-source platforms like BIGUML for UML modeling. He has published extensively on topics like knowledge graph transformation, accessibility in modeling tools, and AI-enhanced decision management. Bork actively contributes to academic communities through conference organizing roles and guest editorial work for journals like Enterprise, Business-Process and Information Systems Modeling . His research bridges theoretical advancements with practical applications in enterprise architecture and sustainable systems engineering. Education & Background : Holds titles including Dipl.-Wirtsch.Inf.Univ. and Dr.rer.pol., reflecting his interdisciplinary expertise in business informatics and economics. Key Contributions : - Developed CM2KGcloud , a web-based platform for conceptual model-to-knowledge graph transformation. - Pioneered EA ModelSet , a FAIR dataset advancing machine learning in enterprise modeling. - Authored influential papers on inclusive conceptual modeling for disability-aware tools. - Led efforts in model-based construction of enterprise architecture knowledge graphs . Grants/Projects : Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen (Principal Investigator) Digital Platform Enterprise (Principal Investigator) MFP 4.2 Advanced Analytics for Smart Manufacturing (Principal Investigator) Labs/Teams : Active in the Network Lab at TU Wien, focusing on cutting-edge research in modeling technologies and AI integration.
Christoph Veigl is a Senior Lecturer at Technikum Wien, focusing on assistive technology and accessibility engineering. His work emphasizes developing open-source solutions for individuals with disabilities, such as the AsTeRICS platform and the FLipMouse input device. He leads research in smart home accessibility, IoT integration, and user-centered design methodologies. Veigl's research interests include assistive technologies for communication, environmental control, and motor impairment solutions. His team develops tools like the Universal Access Panel for IoT-enabled smart homes and the AsTeRICS Grid framework for AAC systems. He collaborates internationally on projects addressing accessibility in gaming, embedded systems, and cross-cultural education. Veigl's publications highlight innovations in eye-tracking calibration, middleware for application integration, and standards for assistive technology design. His work bridges electrical engineering, biomedical engineering, and computer science to create inclusive technologies. Key contributions include over 24 peer-reviewed articles since 2001, with recent focus on democratizing AAC through open-source software and enhancing accessibility in emerging technologies.
Felix Holzmeister is a Professor in the Department of Economics at the University of Innsbruck, affiliated with the 'Innsbruck Decision Sciences' research center. His work focuses on experimental and behavioral economics, finance, and the philosophy of science. He coordinates interdisciplinary research efforts and collaborates with a team including Markus Walzl, Rudolf Kerschbamer, and others. Research Interests: Holzmeister investigates researcher variability in social science experiments, replicability challenges, and methodological rigor. His work spans lab-, field-, and online-based experiments, emphasizing crowd-sourced science and multi-analyst approaches. Key contributions include studies on risk perception among financial professionals and global societal trends. Notable Publications: He co-authored influential papers in Nature (2020) on neuroimaging dataset variability and Management Science (2020) analyzing risk perception. His research also addresses replication crises in social sciences and methodological transparency. Awards: None explicitly listed, though his work has garnered significant academic attention. Collaborations focus on interdisciplinary work, workshops, and disseminating findings through open science frameworks. Labs/Teams: Active in the Innsbruck Decision Sciences team, emphasizing collaborative research and innovation in experimental methods.
Oliver Czoske is a Researcher affiliated with the Department of Astrophysics within the Faculty of Earth Sciences, Geography and Astronomy . His work focuses on instrumentation development for large telescopes , particularly the Extremely Large Telescope (ELT), and observational astrophysics involving galaxy clusters and dark matter. He leads projects like the METIS integral field spectrograph and the MICADO first light imager , contributing to data reduction pipelines and simulation frameworks such as ScopeSim and SimCADO . His research integrates adaptive optics , mid-infrared astronomy , and telescope instrumentation , with a strong emphasis on preparing for the scientific capabilities of next-generation telescopes. Collaborations include the CLASH and SLACS surveys, analyzing gravitational lensing phenomena and galaxy mass profiles. Recent activities (2024) include talks at public outreach events like Führung Sternwarte . Publications span instrumentation design, data analysis techniques, and observational cosmology, with over 30 peer-reviewed articles since 2010. He is actively involved in XMM-Newton and Hubble Space Telescope projects, addressing topics like dark matter distribution and galaxy cluster dynamics.
Peter Satzer is a Senior Lecturer (Privatdozent) at the Institute of Bioprocess Science and Engineering, Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences, Vienna (BOKU). He currently serves as Group Lead for Bioprocessing of Advanced Medicines and is the CO-Founder of p4b GmbH, a company focused on 3D printing for biotechnology. Dr. Satzer completed his PhD in Biomolecular Technology of Proteins (BioToP) from 2011 to 2015, followed by postdoctoral research in Next Biopharmaceutical Downstream Processes from 2016 to 2019. His academic journey began with a Master's program in Biotechnology from 2008 to 2011. Dr. Satzer's research focuses on bioprocess technology , with particular expertise in industrial biotechnology , medical biotechnology , fermentation , circular economy , sustainable technologies , waste prevention , and energy saving . His work bridges the gap between fundamental bioprocess engineering and practical industrial applications, with a strong emphasis on sustainability and process intensification. He is particularly known for his contributions to continuous bioprocessing, viral vector production, and innovative applications of 3D printing in biotechnology. An analysis of Dr. Satzer's recent publications reveals a strong focus on advancing biomanufacturing technologies. His work spans multiple areas including continuous downstream processing, viral vector production systems, 3D printing applications for bioprocessing equipment, and sustainable manufacturing practices. A notable trend is his increasing focus on integrating digital tools and sustainable practices into bioprocess design, with significant contributions to open-source platforms for techno-economic analysis and resource-efficient manufacturing approaches. Dr. Satzer has received the following scientific awards: aws preseed company funding price (2023) Merck Life Science Award in Bioseparations (2015) Dr. Satzer has supervised seven theses, including doctoral and master's level research, focusing on areas such as virus-like particle vaccines, continuous bioprocessing, and advanced monitoring techniques. He is currently involved in two significant research projects: "Sustainable chromatography by design and rational sustainable buffer selection" (2024-2025) and the "Christian Doppler Laboratory for Knowledge-based Production of Gene Therapy Vectors" (2023-2029), where he contributes his expertise in bioprocess engineering for advanced therapeutic manufacturing. As Group Lead for Bioprocessing of Advanced Medicines, Dr. Satzer oversees research activities focused on next-generation biopharmaceutical manufacturing, particularly for advanced therapies including viral vectors and virus-like particles. His team works at the intersection of traditional bioprocessing and emerging technologies, with a strong emphasis on sustainability and process innovation.
Benedikt Grammer is a Research Fellow at the Institute of Social Ecology within the Department of Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work spans multiple interdisciplinary research projects funded by the Austrian Science Fund, European Commission, and Austrian Research Promotion Agency, focusing on the intersection of environmental systems and socioeconomic processes. His research interests encompass climate change, environmental research, human ecology, sustainable agriculture, sustainable economics, environmental economics, environmental sociology, cultural landscape research, environmental policy, and material flow analysis. Grammer's work particularly emphasizes social metabolism - examining how societies transform materials and energy and how these processes relate to environmental sustainability and social organization. His recent publications demonstrate a strong focus on socio-ecological modeling, material stock dynamics, and the impacts of extreme events on agricultural decision-making. His research shows a progression toward increasingly sophisticated modeling of socio-ecological systems, with recent work developing comprehensive models of economy-wide material flows and their environmental implications. Active research projects funded by multiple European Commission programs Projects addressing critical sustainability challenges including climate change adaptation, circular economy transition, and sustainable land use Interdisciplinary collaborations across environmental science, economics, and social sciences Grammer's research group appears to focus on developing and applying socio-ecological models to understand complex interactions between human societies and environmental systems. His work on material stock accounting and social metabolism provides important insights into the biophysical foundations of economic systems and their sustainability implications.
Dr. Vitaliano Barberio is a Post-doc Research Assistant at the Research Institute for Urban Management & Governance at WU Vienna University of Economics and Business. He holds a PhD in Business Administration from the University of Bologna (Italy) and a Master's degree in Innovation and Organization of Culture and the Arts from the same institution. Education: PhD in Business Administration, Department of Management Science, Faculty of Economics, University of Bologna (IT) Master's in Innovation and Organization of Culture and the Arts, University of Bologna (IT) His research focuses on organizational identity dynamics, diffusion of managerial concepts, governance models in open source software communities, and organizational behaviors in online rating networks. He has held visiting positions at the Center for Organizational Research (CORe) at the University of Italian Switzerland (Switzerland) and CASOS Lab at Carnegie Mellon University (USA). Corporate research and consulting areas include organizational intelligence, network analytical software design, and information security. Courses taught: SBWL Organisation: Vertiefungskurs 3 - New Forms of Organization and Governance
Clemens Brunner is a Researcher at the Institute of Psychology within the Faculty of Natural Sciences at the University of Graz. His work bridges electrical/biomedical engineering and cognitive neuroscience, specializing in the neural mechanisms of arithmetic processing and numerical cognition. He actively develops open-source neuroimaging tools used globally in EEG research and sleep analysis. His research focuses on EEG oscillations, biosignal processing, and machine learning applications in cognitive neuroscience. Key interests include arithmetic fact learning, neural correlates of numerical order processing, and non-invasive brain stimulation effects on mathematical cognition. His expertise spans Python programming, statistical analysis, and contributions to major scientific libraries like scikit-learn and SciPy. Analysis of his recent publications reveals consistent emphasis on electrophysiological signatures of arithmetic processing, with growing integration of computational methods and neuromodulation techniques. His work demonstrates strong methodological innovation through open-source software development for EEG analysis and sleep staging. Brunner contributes to the University of Graz's "Brain and behavior" research network, developing tools like MNELAB, SleepECG, and XDF.jl that enhance reproducibility in neuroscience. His collaborations extend to major projects including MNE-Python and BNCI Horizon 2020, advancing brain-computer interface methodologies and neuroimaging standards.
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.
Bernad Batinic is a Professor at Johannes Kepler University Linz, where he serves as Head of the Department of Work, Organizational, and Media Psychology and Director of the Institute of Psychology. He has held these leadership positions since founding the department in 2005 and becoming Institute Director in 2007, and has been a university professor at JKU Linz since 2004. Batinic completed his psychology education at the University of Giessen (1995), earned his doctorate at the University of Erlangen-Nuremberg in 2001 (summa cum laude, with faculty prize), and habilitated there in 2006. He also served as a visiting professor at the University of Marburg in 2003. His academic career shows continuous progression from research assistant positions to his current leadership roles. His research primarily focuses on the relationship between work and well-being, examining how employment status affects mental health through longitudinal studies with five waves of data collection. Batinic has repeatedly demonstrated the mediating role of Marie Jahoda's latent functions of work in the relationship between employment aspects and well-being. He also investigates media psychology, particularly the use and effects of new technologies, internet-based data collection methods (including web experiments and panel research), personnel development, and opinion leadership/trendsetting phenomena. A pioneer in online research methodology, he conducted one of the first online surveys on Usenet in 1994 and published the first online guide for conducting online surveys in 1995. Analysis of Batinic's recent publications (2020-2025) reveals a strong methodological evolution toward integrating technological approaches, including wearable devices for experience sampling and objective measurement of digital behavior. His work increasingly combines traditional psychological assessment with real-world behavioral data, examining topics like fear of missing out, chatbot interactions, laughter in daily life, and the relationship between job characteristics and physical activity. The research consistently applies longitudinal and meta-analytic approaches to understand the complex relationship between work, technology, and psychological well-being. Bernad Batinic has served in numerous leadership roles at JKU Linz beyond his departmental and institute director positions. He was the spokesperson for the professorial committee of the Faculty of Social and Economic Sciences and remains an active member of various university commissions and bodies, including as department spokesperson, senate member, and member of the study commission for web sciences. Notably, in 2015 he declined an offer for a W3 professorship at the University of Trier that would have included management of the Leibniz Center for Psychological Information and Documentation. He leads a productive research team that has generated numerous publications in high-impact journals including Journal of Occupational and Organizational Psychology, Frontiers in Psychology, and European Journal of Work and Organizational Psychology. His work has practical applications in organizational settings and has informed the development of measurement tools like the New Work Values Scale (NWVS) and the Latent and Manifest Benefits of Work (LAMB) scale. Batinic has also co-founded several companies related to his research, including Globalpark AG (now Questback), tivian GmbH, and respondi AG, where he served in advisory capacities.
Nicola Zannone serves as Associate Professor and Chair of the Data Protection research group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He holds a PhD in Computer Science from the University of Trento (2007), where his dissertation focused on security requirements engineering during a research visit to the Center for ... Research Focus: His work centers on cybersecurity with emphasis on data protection, phishing defense mechanisms, and access control systems. Recent investigations explore emerging threats like quishing and LLM-generated phishing attacks, autonomous navigation security, and industrial control system vulnerabilities. His research uniquely bridges technical security solutions with human behavioral factors in organizational contexts. Publication Trends: Between 2024-2025, Zannone's output demonstrates growing attention to AI-powered threats and automated vulnerability mitigation. His systematic reviews and empirical studies consistently address practical security challenges in critical infrastructure and software supply chains, reflecting industry relevance through collaborations with security practitioners. Leadership Roles: As Chief Editor for Computer Security (Frontiers in Computer Science) and Associate Editor for Cybersecurity and Privacy (Frontiers in Big Data), he shapes discourse in security research. His editorial work on topics like "Generative AI for Cybersecurity" highlights forward-looking engagement with evolving threat landscapes.
