Prof. Dr. Thomas Myrach serves as Director of the Information Management Department at the Institute for Business Information Systems , affiliated with the Faculty of Business, Economics and Social Sciences at the University of Bern . His academic career spans decades, focusing on E-commerce, Online Marketing, Digital Data Management, and Requirements Engineering . Key research areas include: Value-sensitive Design of Decision Support Systems Platform Control and User Autonomy in Digital Ecosystems Development of Cognitive Cities and Smart Urban Infrastructure Knowledge Commons and Sustainable Digital Artifacts Publications reveal trends in Digital Sustainability (2016-2017), Smart City research (2016), and Cognitive Mapping techniques (2015-2017). His work bridges Information Systems with Environmental Informatics and Human-Computer Interaction .
Oliver Krancher is Lecturer at the Institute of Business Information Systems, University of Bern, and concurrently Associate Professor at the IT University of Copenhagen. Holding a diploma in Business Informatics (University of Regensburg & Università Cattolica del Sacro Cuore) and a doctorate from the University of Bern, he investigates knowledge processes surrounding the development, use and governance of information technology. His research interests revolve around: Knowledge transfer and governance in IT outsourcing – examining how clients and vendors exchange and integrate knowledge across multisourcing and offshoring arrangements. Social media and collaboration platforms – exploring how short-message feeds and awareness mechanisms influence team learning and performance. Platform-as-a-Service (PaaS) – analysing the affordances of cloud platforms that enable self-organisation and continuous feedback in software development. Organisational routines under malleable IT – studying how flexible information systems reshape routines and momentum for change. Across more than thirty peer-reviewed publications since 2011, his work consistently bridges behavioural and economic perspectives on IT governance, knowledge management, and software sourcing. Recent articles in Journal of the Association for Information Systems and European Journal of Information Systems highlight empirical insights into multisourcing governance and complementor dedication in platform ecosystems. Scientific awards and honours Best Associate Editor Award, International Conference on Information Systems (ICIS) 2017 AIS Award for Innovation in Teaching 2015 for the master-level course “Enterprise Software-as-a-Service Lab” McKinsey Business Technology Award 2013 (1st prize) Teaching and grants narrative At the University of Bern he teaches Bachelor-level “Business Process Management” and Master-level “Enterprise Software as a Service Lab”. While specific research grants are not detailed in the provided text, his sustained publication record and visiting appointments (e.g., Georgia Institute of Technology) indicate ongoing funded research activity in the areas outlined above. Laboratories and teams He is affiliated with the Institute of Business Information Systems (Dept. Information Engineering) at the University of Bern and the IT University of Copenhagen, both of which host interdisciplinary research environments in information systems, outsourcing and digital innovation.
Dr. Isobel Braithwaite is a Clinical Research Fellow at the University College London (UCL) under the NIHR Doctoral Fellowship , affiliated with the Institute of Health Informatics and Research Department of Primary Care and Population Health . She contributes to the Health Determinants and Inequalities Group , Public Health Data Science team , and the VirusWatch study on COVID-19. Her work intersects public health, climate action, and social equity, aligning with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 13 (Climate Action) . Research interests include housing and health, climate change, air pollution, health inequalities, and co-production with marginalized communities. She collaborates with the Faculty of Public Health and Medact on housing-climate health links. Her publications address pandemic dynamics, health equity in housing, and environmental determinants of health, blending epidemiology, data science, and policy analysis. Grants include the NIHR-funded PhD Fellowship , supporting her research on housing and health. She supervises MSc dissertations and teaches epidemiology, research methods, and climate change health impacts. Labs/Teams : Health Determinants and Inequalities Group Public Health Data Science team VirusWatch Community Cohort Study
Jochen Mayer is a Professor in the Department of Sports Science at the Pedagogical University of Schwäbisch Gmünd . He has previously held academic positions at the University of Göttingen, University of Tübingen, University of Bielefeld, and the University of Hawaii at Hilo. Current Research Focus: Elite sports health management, biographical methods in health research, risk sociology in sports organizations, and digital health interventions. Key Projects: PRIO Study (individualized athlete development), Actionbound for Student Health initiative, and FideliS Study on pain medication use in elite handball. His recent publications analyze athlete decision-making under health risks, presenteeism culture in sports, and physical literacy trajectories. He employs interdisciplinary and multimethod approaches, particularly in health sociology and sports management contexts. Leadership Roles: Speaker of the Sports Sociology Section at the German Sport University Association (dvs) and coordinator of BA/MA programs in Sports Science at the University of Tübingen.
Dr Kate Mintram serves as an Associate Lecturer in the Department of Computer Science at Brunel University London within the College of Engineering, Design and Physical Sciences, contributing to the Modelling and Simulation research group and teaching postgraduate data visualisation and undergraduate usability engineering courses. Her academic foundation includes: BSc in Environmental Biology (First Class Honours) with Industrial Placement from Plymouth University (2014) PhD in Agent-based Simulation from the University of Exeter (2019), funded by BBSRC iCASE with Syngenta Dr Mintram specializes in agent-based modeling of complex systems , with dual expertise in ecological applications (fisheries, ecotoxicology, climate change biology) and public health crises (pandemic modeling, supply chain resilience). Her methodology integrates data science and machine learning for big data analysis, addressing policy-relevant questions in environmental risk assessment and healthcare management through realistic simulation frameworks. Analysis of her 15 most recent publications (2018-2024) reveals a strategic evolution: pre-2020 work focused on environmental toxicology and fish population dynamics, while 2020-2022 saw intensive pandemic modeling (CALMS/STAMINA projects), and 2023-2024 expanded into supply chain resilience and forced migration. This trajectory demonstrates exceptional adaptability in applying simulation techniques to emergent global challenges while maintaining core environmental research. Her professional recognition includes: Fellow of the Higher Education Academy Dr Mintram actively supervises final-year undergraduate projects and MSc dissertations while teaching core modules. Her research funding includes Horizon2020 (STAMINA project) and industry-collaborative PhD support from Syngenta. She brings cross-sector experience from AstraZeneca (industrial placement) and NGO animal welfare consultancy. Embedded in Brunel's Modelling and Simulation group, she maintains an extensive co-author network spanning computational science, ecology, and public health domains, as evidenced by her ORCID profile (0000-0001-7180-9200).
Isabel Cecília Correia da Silva Praça Gomes Pereira is a Coordinator Professor at the School of Engineering of the Polytechnic Institute of Porto (ISEP), where she serves as Director of the Master on Informatics Engineering and Advisor of ISEP Presidency for R&D. She is also a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), a research unit ranked as Excellent by the Portuguese Science & Technology Foundation. Dr. Praça holds a PhD in Electrical and Computer Engineering - Industrial Informatics from the University of Trás-os-Montes e Alto Douro, and completed her post-doctoral studies in Artificial Intelligence - Multi-Agent Systems with support from the Portuguese National Science Foundation (SFRH/BPD/30111/2006). Her academic journey includes progressive appointments from Assistant to Adjunct Professor and finally to Coordinator Professor at ISEP. Her research focuses on Artificial Intelligence applied to cybersecurity and security of AI , with significant contributions to applying AI in various domains including cybersecurity (projects like AIDA, SAFE, VESTA), industry (SeCoIIA, Cyberfactory), and energy systems (SPET, MAS-Society). She leads a research team at GECAD working on these topics and has strong connections with over 100 companies and technology transfer centers across more than 30 countries. Analysis of her recent publications reveals a strong trend toward AI security, with particular emphasis on adversarial attacks against AI systems, secure implementation of AI in critical domains, and privacy-preserving AI techniques. Her work spans both theoretical foundations and practical applications across multiple sectors including energy, healthcare, and network security, demonstrating her ability to bridge academic research with real-world applications. Dr. Praça has been recognized as an expert by several prestigious organizations including the European Union Agency for Cybersecurity (ENISA), where she contributes to working groups on Security of AI and the European Cybersecurity Skills Framework. She also serves as an expert for NATO's Defence Innovation Accelerator for the North Atlantic (DIANA) and represents ISEP in the European Cybersecurity Organization (ECSO). As an educator, she teaches Machine Learning and Multi-agent Systems in the MSc in AI program, and Security of Communications and Infrastructures in the Cybersecurity branch of the MSc in Informatics. She currently supervises 4 PhD students in AI security and privacy and has guided 45 Master's theses, demonstrating her commitment to developing the next generation of researchers and practitioners in her field. Her research is supported by numerous international and national grants, including multiple Horizon Europe and Horizon 2020 projects where she serves as Principal Investigator or Co-PI. She has participated in over 35 R&D projects totaling significant funding, with a strong track record of translating research into practical applications through industry partnerships.
Leonora Onarheim Bergsjø is an Associate Professor at Inland Norway University of Applied Sciences, specializing in digital ethics, artificial intelligence, and interdisciplinary research. She teaches digital judgment, ethics, and religious studies in teacher education programs, while also serving as a guest lecturer at institutions like the University of Oslo and MF University College. PhD from the University of Oslo Editor of 'Sensoriness and Transcendence: Perceptions, Revelations, and the Arts' (Brill, 2015) Author of 'Religious Citizenship: Disability, Equality and Human Perspectives' (Cappelen Damm, 2020) Her research focuses on ethical risk assessment of AI applications (ENACT project), e-health innovations (eCardiacRehab), and digital security frameworks. She leads the Norwegian Council for Digital Ethics (NORDE) and contributes to policy-making for authorities like the Ministry of Education and the Norwegian Institute of Public Health. Recent publications address algorithmic bias, ethical AI implementation, and metaverse ethics. She has received recognition for academic outreach, including a 2022 nomination for HiØ's Dissemination Award. Collaborates with international institutions on AI ethics Develops digital competence frameworks for kindergarten teachers Provides expert commentary on AI governance in media
Dr. Frank Tuyl is a Lecturer at the University of Newcastle, affiliated with the College of Engineering, Science and Environment and the School of Information and Physical Sciences , with a focus on Data Science and Statistics . He holds a PhD in Statistics from the University of Newcastle and has over 20 years of experience in statistical and operations research consulting across manufacturing, IT, academia, and health sectors. Research Expertise: Applied Statistics, Biostatistics, Statistical Theory Email: frank.tuyl@newcastle.edu.au Dr. Tuyl specializes in Bayesian methods and applications, particularly in prior elicitation, posterior predictive distributions, and handling zero-event scenarios in statistical modeling. His work spans healthcare monitoring, tobacco use projections, financial statistics, and clinical prediction rules. He has contributed to the development of credible intervals for probabilistic evidence in physical therapy and epidemiology. His 2024 article in Statistical Science revisits Jeffreys' century-old prior point mass methodology for binomial distributions, while earlier works focus on Bayesian consensus priors, multinomial models, and global tobacco trends. His publications demonstrate a consistent application of Bayesian inference across public health, clinical diagnostics, and industrial statistics. Supervision and Grants: Dr. Tuyl has served as Principal or Co-Supervisor for four PhD completions. He has secured 10 grants totaling $638,341, primarily from the World Health Organization, Department of Health and Aged Care (Australia), and internal University of Newcastle funds. Projects include mortality impact analysis for tobacco interventions, Bayesian hierarchical modeling, and statistical tool development for the WHO Interactive Smoking Projection Tool.
László Kovács serves as an Assistant Professor at the Faculty of Informatics, University of Debrecen, where he focuses on data science research and development. He is also recognized as an Nvidia Deep Learning Institute Certified Instructor and Ambassador, contributing to the advancement of AI education. His work is prominently featured through the Autonomous Vehicle Research Lab at the University of Debrecen. His primary research interests include Digital Image Processing , Fusion Systems , and High Performance Computing , with particular emphasis on medical applications. Kovács has developed data-driven solutions that address market, industrial, and social demands of artificial intelligence across various sectors including healthcare. His work demonstrates how the Faculty of Informatics at the University of Debrecen prioritizes data science in both educational and research contexts. Analysis of his publication record reveals a strong focus on medical image analysis, particularly in ophthalmology applications. His research consistently applies advanced computational techniques to solve diagnostic challenges in retinal imaging and melanoma detection. The publications show a progression from foundational algorithm development to practical medical applications, demonstrating his commitment to translating theoretical computer science into real-world healthcare solutions. Scientific Awards and Recognition: Ányos Jedlik PhD candidate scholarship of the National Excellence Program (2014-2015) János Csere Apáczai PhD scholarship of the National Excellence Program (2013-2014) Uiversitas scholarship from University of Debrecen (2012) Special prize at XXX-th National Scientific Students' Associations (2012) Prize of the Dean for Masters Students (2010) Kovács has supervised PhD research projects including OTKA NK101680 on melanoma detection and HURO/1001/283/2.3.1 on image-based recommendation systems. His teaching portfolio is extensive, covering High Level Programming Languages, High Performance Parallel Computing Tools, Parallel Image Processing, and Data Science. He has also established thesis topics in distributed programming, fusion systems, high-performance computing architectures, and medical diagnostic applications. His research group maintains an active GitHub presence through the Autonomous Vehicle Research Lab.
María Araceli Casasola Balsells is a Professor at the Universidad Pablo de Olavide in the Department of Financial Economics and Accounting. She is affiliated with the Social and Environmental Accounting Research Center (CICSMA) and leads the research group INFORMACIÓN, ENTORNO Y CAMBIO ORGANIZATIVO. Her academic work focuses on financial communication, corporate legitimacy, and readability analysis of corporate disclosures. Research Themes: Historical evolution of corporate narratives Environmental and social accounting Educational technology in financial education Web accessibility standards Legitimacy theory in petroleum/telecommunications sectors Academic Contributions: Her 2007 doctoral thesis on chairman's letters as legitimacy tools in CEPSA and REPSOL-YPF remains foundational. She has published extensively on GRI sustainability reporting, gamification pedagogy, and digital accessibility policies.
Vicente Antonio Pérez Chamorro is an Associate Professor at Pablo de Olavide University, Department of Financial Economics and Accounting. He actively contributes to research through the Center for Research in Social and Environmental Accounting (CICSMA) and leads the Information, Environment and Organizational Change research group. His work focuses on sustainability accounting, environmental financial disclosures, and pedagogical innovation in accounting education. PhD Supervision : Advised research on environmental financial reporting in Spain Key Research Areas : GRI reporting in public water entities, corporate environmental accountability, decolonial accounting, and digital educational tools His 15 most recent publications (2024-2000) span accounting history, sustainability reporting, and educational technology. Articles explore topics like: US accounting practices in Spanish telephone monopolies Evolving patterns in Spanish accounting history research Gamification in financial accounting education Web accessibility in public services Environmental disclosures under European regulations Legitimacy strategies in historical state-owned enterprises While no explicit awards are mentioned in the provided texts, his collaborative projects with institutions like Zaragoza University and Nottingham Trent University demonstrate academic partnerships. He has supervised multiple research theses and implemented project-based learning methodologies using tools like ANKI and Contaplus software.
Fadil Zendeli is a Full Professor at the Faculty of Contemporary Social Sciences, South East European University (Tetovo, North Macedonia). Holding a PhD in Public Administration (2007), his work focuses on administrative law, refugee reintegration, decentralization, and digital governance. He has published extensively on post-legislative scrutiny, social protection systems, and justice reform in the Balkans. Education: PhD in Public Administration (SEEU) His research bridges administrative law and practical policy challenges, evident in publications like "The Challenges of the Refugee Crisis in North Macedonia" (2025) and "Digital Governance Impact in Tirana District, Albania" (2024). Recent trends emphasize refugee integration, decentralized education finance, and digital transformation in public services. Zendeli has contributed to studies on judicial reform, anti-corruption, and cybercrime security policies since the early 2010s. Current projects include comparative analyses of public institutions in Albania and North Macedonia, alongside exploring nomoteknika (legal informatics) applications.
Dr. Paul Schmitter serves as a Lecturer and Researcher at the Zurich University of Applied Sciences (ZHAW) within the School of Life Sciences and Facility Management. His work bridges academic research and practical implementation in healthcare facility management, with active involvement in the ZHAW Digital Health Lab and International Facility Management Association. Current projects include Food Waste Measure in Airline Catering (as Project Leader) and Smart Building Information Service (as Team Member). His research focuses on digital transformation in healthcare facility management, specializing in digital maturity assessments, Ambient Assisted Living systems, and AI's strategic impact. Key interests include developing frameworks for digital transformation strategies, evaluating smart building technologies in healthcare settings, and addressing implementation challenges in facility management digitization. His work emphasizes practical applications through projects like DC4HC (Digital Competence for Healthcare) and SmartCareNet. Schmitter's publications demonstrate consistent contributions to digital transformation in facility management, with recent work emphasizing AI integration, maturity modeling, and healthcare-specific applications. His 2024 doctoral dissertation established critical success factors for hospital facility management digitalization, while ongoing research explores generative AI applications in facility management education and smart building risk assessment. City & Country Clubs Council Scholarship Award (IFMA Foundation, October 2020) Francis J. Kuhn Fellow Scholarship Award (IFMA Foundation, October 2019) Best Master Thesis (IFMA Switzerland, March 2018) Best Master's Degree (ALUMNI ZHAW, March 2018) As project leader for Food Waste Measure in Airline Catering and SmartCareNet, Schmitter directs research initiatives focusing on operational efficiency and digital transformation. His work with the ZHAW Digital Health Lab facilitates cross-disciplinary collaboration on healthcare technology implementation, while his role in the International Facility Management Association connects academic research with industry practice. Current grant-funded projects address digital competence development and smart infrastructure integration in healthcare facilities. Schmitter actively contributes to the ZHAW Digital Health Lab, where he collaborates on projects like AALBridge and ActiveAdvice that develop Ambient Assisted Living solutions. His work with the International Facility Management Association connects academic research with global industry practices, while ongoing projects like FM 4.0 explore next-generation facility management technologies through multi-stakeholder partnerships.
Gustaf Nelhans is an Associate Professor at the Department of Library and Information Science, University of Borås. He holds a PhD in Theory of Science and leads the Data as Impact Lab, focusing on machine learning and citation analysis for research impact. Current projects: HUMINFRA (Swedish Research Council 2022–2028), Publishing Platforms (Riksbankens Jubileumsfond 2023–24), Evaluation (Norwegian Research Council) Former projects: Data4Impact (Horizon 2020), INCITE (Västra Götalandsregionen), Chronic Disease Impact Mapping (EU FP7) His research spans scientometrics , open science , digital humanities , and research policy . Recent work includes AI for citation context analysis, policy document citation studies, and societal impact assessment frameworks. Scientific advisory roles: Royal Library's Research Council (Chair 2022–23), SUHF Bibliometrics Working Group, Royal Library Privacy Council Supervision: Main supervisor for Fereshta Westin (2021–), co-supervisor for Camilla Lindelöw (2022–) and Marco Schirone (2018–)
Till J. Winkler serves as a Visiting Researcher at Copenhagen Business School's Department of Digitalization, focusing on digital transformation within public sector institutions and government applications. His work addresses critical challenges in technology governance, regulatory compliance, and service delivery innovation across societal domains. His core research interests include: Digital Government AI Governance Business-IT Alignment Public Sector Service Quality Digital Transformation Digital Therapeutics Dr. Winkler investigates the practical implementation of frameworks like the EU AI Act in high-risk domains such as law enforcement, while examining how digital therapeutics integrate into healthcare workflows. His interdisciplinary approach combines information systems theory with public administration and organizational behavior to analyze technology's societal impacts. Recent publications demonstrate concentrated focus on responsible AI deployment in government contexts, with recurring themes of explainability metrics, regulatory compliance mechanisms, and citizen experience optimization in omnichannel public services. His work consistently bridges technical AI capabilities with governance requirements and human-centered service design. No scientific awards were explicitly documented in the provided information. With 12 supervised works recorded, Dr. Winkler maintains active mentorship engagement. His collaborative research patterns—including multi-institutional publications and panel participation—indicate involvement in externally funded projects addressing digital transformation challenges in public administration and healthcare systems, though specific grant details remain unreported.
