Hanne Vandenbussche is a postdoctoral researcher at Ghent University's Faculty of Psychology and Educational Sciences , affiliated with the Department of Special Needs Education . Her work bridges disability studies , inclusive education , and belonging through interdisciplinary methodologies. Her research interrogates exclusion mechanisms in educational systems, focusing on early childhood education , transition to adulthood , and equity in care practices . Notable collaborations include scholars like Elisabeth De Schauwer and Geert Van Hove, with publications analyzing accessibility barriers , counterstories , and decolonial approaches to inclusion. Selected publications (2025–2018) reveal methodological innovation in documentary practices , diffractive lenses , and walking-with participatory methods. Despite no formal awards listed, her work has been cited in policy evaluations and transnational inclusive education frameworks.
Charlotte Ringsmose is a Professor at the Department of Culture and Learning, part of the Faculty of Social Sciences and Humanities at Aalborg University. Her work focuses on improving child well-being through effective leadership and quality enhancement in early childhood education and care (ECEC) settings. She leads initiatives such as Ledelse med mærkbar effekt for børnene and ViD: Vidensinformeret praksis i dagtilbud , emphasizing data-driven decision-making and organizational learning. Her research explores pedagogical practices, institutional development, and inclusive environments in daycare and afterschool programs. Collaborations with municipalities like Roskilde and Kolding highlight practical applications of her theoretical work. Key projects address leadership roles, spatial design impacts, and policy implementation in ECEC institutions. Ringsmose is a principal investigator in over 20 projects, including studies on preventive child welfare and professional development. Her activities span conferences, media engagements, and advisory roles, bridging academic research with practical educational needs. She co-leads the Collaborative Organizational Learning (CO-LEARN) initiative and contributes to the Laboratorium for praksisrettet dagtilbuds- og skoleforskning .
Anna Salomons is a Full Professor at Tilburg University's Department of Economics within the Tilburg School of Economics and Management. She also holds the position of Instituut Gak endowed professor at Utrecht University's School of Economics. Her extensive research affiliations include IZA, the Centre for Economic Policy Research (CEPR), the Technology & Policy Research Initiative at Boston University, the Block Center for Technology and Society at Carnegie Mellon University, and the Shaping the Future of Work Initiative at MIT. Her primary research interests focus on labor market dynamics, particularly examining the impacts of technological change on earnings inequality, employment structures, and skill demand. Dr. Salomons investigates how automation affects workers at firms, the evolution of job categories through technological innovation, and the consequences of policy interventions like youth minimum wages. Her work bridges economic theory with empirical analysis of real-world labor market phenomena. Analysis of her recent publications reveals a consistent focus on the intersection of technology and labor markets, with particular emphasis on how automation reshapes employment structures and worker outcomes. Her research spans multiple methodologies including difference-in-differences event studies, analysis of administrative data, and experimental approaches to understand worker perceptions of technological changes in recruitment processes. European Economic Association's Role Models in Economics Award (2024) Dr. Salomons actively contributes to numerous research initiatives and policy discussions. Her work has been referenced in multiple policy sources and picked up by numerous news outlets, indicating significant policy relevance. She organizes academic workshops such as the 'Werksessie Academische Werkplaats Inclusieve Arbeidsmarkt' and serves on advisory councils including the Academic Advisory Council of the Center on Regulation and Markets at Brookings Institution. Her research is conducted through multiple institutional frameworks, including collaborations with leading universities and research centers worldwide. Dr. Salomons' work contributes to UN Sustainable Development Goals related to decent work and economic growth, particularly through her investigations of labor market inequalities and the impacts of technological change on employment opportunities.
Eylem GENCER is a Lecturer at the Faculty of Sports Sciences, Department of Coaching Education, Ahievran University of Kırşehir, Turkey. Her academic career spans since 2009, including roles as a Research Assistant (2009–2016) and Doctor Lecturer (2016–present). She served as Head of Department (2018–2020). Education: PhD in Physical Education and Sports from Celâl Bayar University (2013); Master’s in Physical Education and Sports (2008) and Bachelor’s in Physical Education and Sports (2006) from Pamukkale University. Research Interests focus on Exercise and Sports Psychology , including motivational climates, self-esteem in athletes, coach-athlete relationships, and rapid weight loss practices in weight-class sports. Her work employs qualitative methodologies and phenomenological frameworks. Publications (2009–2023) include studies on wrestling, handball, and student-athlete psychology. She co-authored books on sports science and contributed to international journals like the Journal of Educational Issues and TOJRAS . Projects: Led the 2018–2019 study on pre-competition warm-up effects in national wrestlers.
Jeroen van der Laak is a Visiting Professor at Linköping University's Faculty of Medicine, affiliated with the Department of Health, Medicine and Care (HMV) and the Department of Diagnostics and Specialist Medicine (DISP). He is a key member of the Computational Pathology Group and contributes to the Wallenberg Centre for Molecular Medicine (WCMM), focusing on advancing digital pathology through artificial intelligence and deep learning methodologies. Dr. van der Laak's research centers on computational pathology, with specific expertise in developing deep learning algorithms to improve cancer diagnostics and prognosis. His work spans multiple domains including histopathological image analysis, tumor detection, biomarker identification, and computer-aided diagnosis systems. He investigates how machine learning techniques can enhance pathologist efficiency while reducing observer bias and identifying novel prognostic indicators for personalized cancer treatment. His research addresses critical challenges in computational pathology, including the need for high-quality, large-scale histopathological datasets and clinical validation of AI models. Analysis of Dr. van der Laak's recent publications reveals a strong focus on applying deep learning to diverse pathology challenges across multiple organ systems. His work demonstrates expertise in whole-slide image analysis, tumor segmentation, cancer grading, and biomarker discovery. Notably, his research spans breast cancer, prostate cancer, colorectal cancer, kidney transplant pathology, and gynecological pathology, showing both depth in specific applications and breadth across medical specialties. Key themes include attention-based image compression, human-in-the-loop refinement of AI models, and automated lesion scoring systems. Dr. van der Laak actively collaborates with international pathologists and participates in major European initiatives like the BIGPICTURE project, which aims to build an EU-scale digital pathology repository. His research emphasizes clinical validation of AI models to ensure safety and utility in routine practice, with contributions to consensus studies including recommendations for diagnosing serous tubal intraepithelial carcinoma (STIC) and standardization of molecular pathology education. As part of the Computational Pathology Group, Dr. van der Laak contributes to developing, validating, and deploying novel medical image analysis methods based on deep learning technology, with a focus on computer-aided diagnosis systems that directly support pathologists in their daily work while identifying potential new biomarkers for individualized treatment approaches.
Dr. B.A. Kamphorst is a researcher in the Department of Media and Culture Studies at Utrecht University's Faculty of Humanities, where he is affiliated with the Media and Performance Studies group and the Institute for Cultural Inquiry. His work bridges philosophy, technology, and human behavior with a focus on ethical implications of digital systems. Faculty of Humanities, Utrecht University Department of Media and Culture Studies Media and Performance Studies research group Institute for Cultural Inquiry Dr. Kamphorst's research focuses on the intersection of philosophy of technology, ethics, and human-computer interaction. His expertise spans digital ethics, particularly concerning autonomy-respectful e-coaching systems, governance of digital society, and human-centered artificial intelligence. His work examines how technology affects human agency, decision-making, and behavioral patterns, with specific attention to bedtime procrastination and healthy lifestyle interventions. His publication record since 2009 demonstrates a consistent focus on ethical dimensions of technology, particularly examining how digital systems can support or undermine human autonomy. His most recent work explores hybrid intelligence applications for diabetes management and the voluntariness of public health apps, building on his foundational doctoral research on autonomy-respectful e-coaching systems completed in 2020. Editor for Philosophy & Technology journal Editor for Journal of Responsible Technology Editor for AI and Ethics journal Member of programme committee for International DEDA Seminar Member of programme committee for Procrastination Research Conference Dr. Kamphorst actively engages with the academic community through conference participation, invited talks, and editorial work. His research has practical implications for designing ethical AI systems that respect human autonomy while effectively supporting behavior change in health contexts. His multidisciplinary approach combines insights from philosophy, psychology, and computer science to address pressing challenges in the digital society.
Marie-Paule Jacques is a Professor of Linguistics at Université Toulouse - Jean Jaurès, affiliated with the Cognition, Languages, Language, Ergonomics (CLLE) research unit. Previously associated with University of Grenoble Alpes where she completed her Habilitation à diriger des recherches (HDR) in 2017, her academic career spans over two decades of research in corpus linguistics and applied language studies. She has held positions as a teacher-researcher focusing on language sciences, general linguistics, and phonetics. Her research interests center on corpus-based linguistic analysis, particularly examining academic writing practices across educational levels from primary school to university. She investigates textual coherence, discourse organization, and the development of transdisciplinary scientific lexicon. Her work bridges theoretical linguistics with practical applications in language teaching, especially for vocational students transitioning to higher education. She has made significant contributions to understanding how students develop writing skills and how educators can effectively evaluate and support this development. Analysis of her recent publications reveals a strong focus on discourse routines in academic contexts, writing evaluation methodologies, and collaborative projects between researchers and practitioners to improve writing instruction. Her work frequently examines the challenges faced by students from vocational backgrounds in academic writing environments, developing targeted interventions to support their success. Professor Jacques has been actively involved in numerous research collaborations, particularly with Luca Pallanti, Catherine Brissaud, and Rui Yan, focusing on writing pedagogy for diverse student populations. She has contributed to the development of corpus resources like CORLI (Corpus Ouvert du Français) and has worked extensively on creating educational tools for writing instruction across different educational stages. Her research has practical applications in teacher training programs, where she develops modeling approaches to language study for future primary education teachers. She also investigates linguistic challenges faced by specific learner populations, such as Sinophone learners of French, examining their use of passive constructions in academic writing.
Dr. Jyoti Nangalia is a distinguished Group Leader in the Cancer, Ageing and Somatic Mutation Programme at the Wellcome Sanger Institute and a Principal Investigator at the Wellcome-MRC Cambridge Stem Cell Institute. She also serves as an Honorary Consultant Haematologist at Cambridge University Hospitals NHS Foundation Trust, where she treats patients with chronic myeloid malignancies. Dr. Nangalia received her medical education at the University of Cambridge (St John's College), earning a BA with First Class Honors followed by an MB BChir medical degree. She completed her PhD at the University of Cambridge and Sanger Institute, where she discovered CALR mutations in myeloproliferative neoplasms. Her research focuses on understanding somatic mutation patterns, methylation changes, and clonal selection throughout life and how these processes alter during ageing and cancer development. Her group employs innovative approaches including single-cell derived whole genome sequencing, phylogenetic analysis, mathematical modeling, and population simulations to study clonal trajectories to blood cancers and methylation dynamics across tissues and lifespan. Her earlier groundbreaking work identified CALR mutations in patients with JAK2-unmutated myeloproliferative neoplasms, which is now routinely tested in clinical practice and included in international WHO guidelines. Analysis of Dr. Nangalia's recent publications reveals a strong focus on clonal dynamics in hematopoiesis across the human lifespan, with particular emphasis on blood cancer trajectories, methylation changes during ageing, and the development of personalized cancer prediction models. Her work integrates large-scale genomic data with clinical parameters to improve early detection and intervention strategies for blood cancers. Johnstone & Florence Stoney Scholarship from the British Federation of Women Graduates Cancer Research UK Clinician Scientist Fellow (2017) Cancer Research UK Advanced Clinician Scientist Fellow Dr. Nangalia leads the Nangalia Group at the Sanger Institute, which includes staff scientists, postdoctoral fellows, and PhD students. Her research is supported by Cancer Research UK and other major funding bodies. She is actively involved in clinical research, leading molecular analysis for clinical trials of myeloproliferative neoplasms and contributing to national guidelines for these conditions. Her group has developed predictive tools for blood cancer prognosis that integrate clinical and genomic parameters. The Nangalia Group maintains strong collaborations with clinical teams at Cambridge University Hospitals and participates in international research networks focused on blood cancers and clonal evolution. Their work bridges basic science and clinical application, with the goal of translating genomic discoveries into improved patient outcomes.
John Zimmerman serves as Associate Professor with a joint appointment between Carnegie Mellon University's School of Design and Human Computer Interaction Institute, teaching interaction design studios and mobile service innovation courses while leading impactful research across four core domains. His educational foundation includes an MDes in Interaction Design from CMU's School of Design, building on prior industry experience as Senior Researcher at Philips Electronics where he designed interactive television and home technologies. Zimmerman's research investigates why digital possessions are often undervalued compared to physical objects through projects like interactive teen bedrooms and memory-postcard services. His service design work engages citizens in public planning via social computing, notably a crowdsourced transit system earning FCC and ITS America awards with 150,000+ location traces. In ubiquitous computing, he develops smartphone systems for family routines and mental health monitoring, while his Research through Design methodology explores speculative futures through practice, culminating in the co-authored book Design Research Through Practice . Analysis of his 15 most recent publications (2024-2025) reveals a strategic pivot toward AI ethics and public-sector applications, with 60% focusing on responsible AI development, equity in government systems, and educational technology, while maintaining foundational work in service design and digital possessions. His scientific recognition includes: FCC award for crowdsourced transit innovation Intelligent Transportation Society of America award for real-time transit system Zimmerman secures research funding for projects spanning public technology, educational tools, and AI ethics, though specific grants aren't detailed in source materials. He mentors MDes students at CMU's School of Design, emphasizing practical design skills and ethical technology development as reflected in his teaching of interaction design studios and mobile service courses. His collaborative work extends through CMU's interdisciplinary ecosystem and public-sector partnerships, particularly evident in transit system development with local transportation authorities and classroom analytics projects with K-12 educators.
Ana Maria Santos serves as Assistant Professor at the School of Social and Political Sciences, University of Lisbon (ISCSP-ULisboa), with office located in the Tejo Block. Her academic profile demonstrates sustained engagement with sports sociology and digital governance frameworks. Her research spans Sports Sociology , Digital Governance , and National Identity formation, with particular emphasis on cycling culture and digital-era sports management. Key investigations include comparative analyses of 'Volta a Portugal' versus 'Tour de France', e-sports legitimacy debates, and democratic dimensions of athletic participation. Recent work explores influenza vaccination hesitancy in Portuguese populations as collaborative public health research. Professional recognition includes election to the EGPA/IIAS Steering Committee, reflecting leadership in European governance studies. Her publication record shows consistent output since 1999, with increasing focus on digital transformation since 2020. Current academic activities center on digital sports governance and national identity construction through athletic narratives. Contact details include office location (3rd Floor - Office 26 - Tejo Block) and university email address.
Estela Bicho is a Full Professor at the Department of Industrial Electronics, School of Engineering (EEUM), University of Minho, where she coordinates the Control, Automation and Robotics Group and leads the MAR Lab (Mobile and Anthropomorphic Robotics Lab). She previously served as Associate Director of Algoritmi Research Centre (2013-2015) and vice-president of EEUM (2019-2022). Her research focuses on Uni- and multi-robot systems Human-robot interaction & collaboration Machine learning applications Bimanual robotic manipulation Autonomous navigation Medical robotics for Parkinson's/Alzheimer's diagnosis Neuro-rehabilitation technologies Her work has produced over 100 publications in top journals (Mechanism and Machine Theory, Autonomous Robots, Neural Networks) and conferences (IROS, ICRA). Notable achievements include: 1999 IBM Portuguese PhD Award JAST project selected as European robotics success story IEEE IROS Jubilee video award finalist 2019 student team prize in Beijing Brain-Inspired Computing Competition 2021 RoboHub '50 Women in Robotics' recognition She has supervised 12 PhD theses and 35+ MSc dissertations, with current advisees including Ana Margarida Trigo, Ankit Patel, Gianpaolo Gulletta, and Tiago Malheiro.
Maryam Tayefi Nasrabadi is an Associate Professor of Machine Learning in the Department of Physics and Technology at UiT The Arctic University of Norway (Tromsø). She applies advanced machine-learning techniques to solve pressing challenges in digital health, clinical informatics, and chronic-disease prevention. Research Interests Artificial-intelligence-driven clinical decision support Multimodal fusion of wearable, imaging, and electronic-health-record data Explainable AI for endocrinology, cardiology, and nutrition Telehealth, mHealth usability, and large-scale eHealth adoption Population-health data mining for risk-factor discovery Across more than 60 peer-reviewed publications (2019-2025) she has consistently explored how robust machine-learning models can be translated into routine clinical workflows, emphasising interpretability, fairness, and user-centred design. Grants & Collaborative Networks While specific grant numbers are not detailed in the provided text, her extensive multinational co-authorship (Norway, Spain, Iran, Canada, USA, UK, Italy, Lithuania, etc.) signals participation in large-scale funded consortia focused on AI in healthcare and digital epidemiology. Selected Professional Contributions Member of editorial boards and peer-review panels for leading journals in medical informatics and AI Active contributor to Norwegian national reports on AI implementation in healthcare (2022-2023) Frequent speaker at international conferences on machine learning in medicine
Prof. Dr. Patric Eichelberger is a Professor and Head of the Bern Movement Lab at the Bern University of Applied Sciences, School of Health Professions, Department of Physiotherapy. He leads the Foot Biomechanics and Technology Research Group, focusing on quantitative assessment of human movement and biomechanics in injury prevention and rehabilitation. His work bridges clinical practice with technological innovation, particularly in foot biomechanics and orthopedic technology applications. Dr. Eichelberger's research interests center on movement biomechanics of the lower extremity, with special emphasis on foot biomechanics, movement analysis techniques, and biomechanics applications in injury prevention and rehabilitation. His work explores how current technologies can be applied to transfer objective assessment of movement biomechanics from laboratory settings into clinical routine. Specific areas of investigation include footwear and orthoses for running-related injuries, the relationship between running biomechanics and injury, and the development of innovative measurement techniques for dynamic postural stability. His recent publication trends show a strong focus on clinical biomechanics applications, with particular emphasis on ankle and foot biomechanics, movement analysis in injury contexts, and innovative measurement techniques. His work frequently appears in journals related to biomechanics, physiotherapy, orthopedics, and sports medicine, demonstrating interdisciplinary collaboration across these fields. The research consistently applies quantitative methods to address clinically relevant questions in movement science. Prof. Eichelberger actively supervises master's thesis projects through the Bern Movement Lab and teaches across multiple health profession programs. His teaching portfolio includes Quantitative Research Methods and Applied Statistics, Movement Biomechanics, Gait Analysis, and Biomechanical Models. He is also involved in the Center Health Technologies as Co-Head and serves on the Committee for 'Human Digital Transformation' at BFH. His laboratory infrastructure includes the Bern Movement Lab, Bern Mobility Centre, and Bern Pain & Stress Lab, which provide comprehensive facilities for biomechanical assessment, movement analysis, and clinical testing. Through partnerships with institutions like Ortho-Team AG, Praxisklinik Rennbahn AG, and Bern University Hospital, his research maintains strong clinical relevance while advancing methodological approaches in movement science.
Dr. Ariel Williamson is an Assistant Professor at the Ballmer Institute for Children's Behavioral Health and in the Department of Psychology (clinical area) at the University of Oregon, where she directs the Behavior, Emotions, Development and Sleep (BEDS) Lab. She is a clinical psychologist and Diplomate in Behavioral Sleep Medicine with expertise in pediatric sleep health inequities and behavioral interventions. Dr. Williamson's research uses a socio-ecological approach to understand how multiple factors (child, family, school, healthcare system, neighborhood, and socio-cultural context) contribute to child sleep problems, inequities, and developmental outcomes. Her intervention research applies implementation science principles and community-engaged methods to promote pediatric sleep health and treat sleep problems in primary care and in partnership with community organizations. She conducts community-engaged research, which involves forming partnerships with families, primary care clinicians, and community organizations to adapt and implement behavioral sleep interventions in real-world settings, with a focus on ensuring evidence-based interventions are delivered flexibly, effectively, and with cultural humility. Dr. Williamson's recent publications reveal a strong focus on sleep health disparities, particularly examining how socioeconomic factors, race, and neighborhood context contribute to inequities in pediatric sleep. Her work spans from basic research on sleep patterns across development to implementation of evidence-based interventions in community settings. She has made significant contributions to understanding the bidirectional relationships between sleep problems and mental health outcomes, as well as the impact of sleep on child development and well-being. Carole L. Marcus Outstanding Achievement Award from American Thoracic Society (2023) Arthur Spielman Early Career Distinguished Scientific Achievement Award from Society of Behavioral Sleep Medicine (2023) Clinician Investigator Rising Star Award from Sleep Research Society (2024) Diane J. Willis Award for Outstanding Article in Journal of Pediatric Psychology (2020) Dr. Williamson is actively involved in mentoring and has expressed interest in accepting new doctoral students to the University of Oregon Clinical Psychology program. Her research has been funded by the National Institute of Child Health and Human Development (NICHD K23HD094905), the National Heart, Lung, and Blood Institute (NHLBI R01HL163798), the Sleep Research Society Foundation, and the American Academy of Sleep Medicine Foundation. She serves on the board of the Philadelphia-area Beds for Kids program, which provides beds, bedding, and sleep health education to families living at or below the federal poverty line, and she is a steering committee member for the Pacific Northwest Sleep and Circadian Network.
Fredrik Tell is Professor of Business Administration at Uppsala University since September 1, 2015, with additional affiliation as Professor at the Department of Economic History and the Center for Business History. He serves as chair of the department's scientific council and convenes the higher seminar. His academic career includes previous professorship at Linköping University (2009-2015). Education: Philosophical Bachelor (fil. kand.), 1994 Economic Licentiate (ek. lic.), 1997 Economic Doctorate (ek. dr.), 2000 Tell's primary research focuses on strategic work and the relationship between future and present, development of organizational knowledge and company capabilities, patent history, intellectual property rights, and technology markets. His work also examines digitalization's impact on development work, temporary and distributed organizational forms, and globalization in multinational business. He leads the Uppsala Patent History Group, which has produced significant research on historical patent data and Swedish patent history. His recent publications reveal strong trends connecting historical patent analysis with contemporary innovation challenges, particularly examining how digital transformation affects organizational routines and knowledge management. Tell's work bridges historical perspectives with current business challenges, especially in intellectual property management and multinational enterprise strategies. His research often employs interdisciplinary approaches combining business history, organizational theory, and innovation studies. Scientific Recognition: Member of the Royal Swedish Academy of Engineering Sciences (IVA) Member of the Royal Society of Sciences in Uppsala (KVS) Fellow at Stiftelsen IMIT Former chairman of the Association of Business Administration in Sweden (FEKIS, 2018-2020) Tell has supervised 14 PhD students to completion and currently supervises two doctoral candidates. He serves as vice-chair of the national graduate school Management and IT (MIT). His grant portfolio includes significant funding from Jan Wallander and Tom Hedelius Foundation, Lars Erik Lundbergs Foundation, and VINNOVA for research on patent history, technology markets, and digital transformation. He has led several research groups including the Uppsala Patent History Group and previously contributed to KITE, DRIM, EPOK, and MEKA research initiatives. Tell has been a visiting researcher at numerous prestigious institutions including Stanford University, London School of Economics, and University of Toronto.
