جست‌وجوی استاد و پژوهشگر

• Electrical and Electronic Engineering
• Microelectronics
• Nanoelectronics
• +۷ مورد دیگر

Danilo Demarchi is Full Professor at the Polytechnic University of Turin's Department of Electronics and Telecommunications (DET). He directs the eLiONS Lab and coordinates PoliTO's Italian Institute of Technology Microelectronics Group. As pioneer in wearable plant sensors and AgriFood electronics, he bridges microelectronics with agriculture and biomedical applications. IEEE Senior Member Founder & Editor-in-Chief: IEEE Transactions on AgriFood Electronics General Chair: IEEE BioCAS (2017), IEEE CAFE (2023) Research spans smart systems for: Precision agriculture (IoT, plant health monitoring) Biomedical devices (implantables, wearables) Low-cost electronics Molecular electronics His 350+ publications focus on bio-inspired architectures integrating microsystems with physiological applications, while leading EU and PNRR projects like FERNS and ATHOS. Scientific leadership includes: Coordinating 5 EU projects Founding 2 IEEE conferences Editorial roles in 4 IEEE journals Current PhD students explore topics from plant bioimpedance to pilot workload monitoring, supported by his 5 granted patents and extensive industry collaborations.

• Learning Analytics
• Educational Technology
• Teacher Behaviour
• +۴ مورد دیگر

Dr. Anouschka van Leeuwen is an Assistant Professor at Utrecht University’s Faculty of Social and Behavioural Sciences , Department of Educational Sciences. Her research focuses on Learning Analytics , Educational Technology , and Teacher Behaviour , with a dual role as both a researcher/teacher and project leader of the Learning Analytics team at the Student & Academic Affairs Office. PhD in Educational Sciences, with a Master’s in Artificial Intelligence Supervises 4 PhD candidates Coordinator of SURF Special Interest Group Learning Analytics Co-organizer of bi-monthly SoLAR webinars Her work explores how data analytics can enhance educational practices, balancing pedagogy, privacy, and technical infrastructure. She emphasizes human-centered design in analytics systems, particularly for collaborative learning and self-regulated learning . Recurring themes in her publications include teacher dashboards , student data visualization , and ethical AI in education. Key awards: SURF Education Award (2024) . She collaborates internationally (e.g., University of Oulu) and nationally on initiatives like Npuls Pilothub Data and AI . Her 2024 report "AI en kansengelijkheid" addresses AI’s impact on educational equity. Labs/Teams : Learning Analytics Program at Utrecht University SURF Special Interest Group Bi-monthly SoLAR Webinars Interact! Project Grants : Project funding for teacher dashboard designs Collaboration grants with University of Oulu

Johanna Viitanenمشاهده پروفایل

استادیار

• Usability
• User Experience
• User-Centred Design
• +۶ مورد دیگر

Johanna Viitanen is an Assistant Professor at the Department of Computer Science , Aalto University School of Science . Her work focuses on usability , user experience , and user-centred design within healthcare and social care contexts, particularly examining health information systems , patient experiences , and IT procurement processes. Doctoral degree (2011), Aalto University Licentiate degree (2009), Helsinki University of Technology Master's degree (2005), Helsinki University of Technology Her research explores the intersection of human-computer interaction and health informatics , addressing challenges in electronic health records (EHRs) , digital ethics , and socio-technical systems . She leads the BOC Home Dialysis project (2022–2026) to optimize predialysis and home dialysis care through technology. Recent publications (2024–2025) analyze physician and nurse experiences with EHR usability, socio-technical challenges in healthcare IT, and cross-sectional surveys on digitalization's impact on professional job strain . She received the CHI 2025 Honorable Mention Award for contributions in human-computer interaction and ergonomics . Viitanen actively participates in hosting academic visitors , organizing healthcare digital transformation events , and reviewing scientific journals . Her work aligns with UN Sustainable Development Goals related to education and digital equity in healthcare.

Pepijn Roelofsمشاهده پروفایل

مدرس

• Nursing Education
• Occupational Health
• Disability Reintegration
• +۳ مورد دیگر

Pepijn Roelofs is a Lecturer at Rotterdam University of Applied Sciences, School of Nursing. His research focuses on nursing education, occupational health, and disability reintegration, with significant contributions to understanding how healthcare professionals transition into practice and how individuals with disabilities can successfully reintegrate into the labor market. His primary research interests include: Nursing Education and Student Transition Occupational Health and Safety Disability Benefit Recipients' Reintegration into Labor Market Low Back Pain Management in Workplace Settings Social Security Systems and Labor Market Participation Dr. Roelofs' recent work demonstrates a strong focus on practical interventions for novice nurses' transition into clinical practice and comprehensive approaches to reintegrating disability benefit recipients. His research spans both qualitative and quantitative methodologies, with an emphasis on real-world applicability in healthcare and social security contexts. His fingerprint analysis reveals significant expertise in Low Back Pain (100%), Nursing Student transition (70%), and Social Security systems (56%). His scientific recognition includes: Comenius Grant for educational research projects Dr. Roelofs actively collaborates with healthcare institutions and social security organizations. His research on the Comprehensive Approach to Reintegration (CARm) demonstrates his commitment to developing evidence-based solutions for complex social and healthcare challenges. His work bridges academic research with practical application in nursing education and occupational health settings.

• Neuroergonomics
• Human-Robot Interaction
• Human-Computer Interaction
• +۷ مورد دیگر

Professor Giacinto Barresi serves as Professor of Robotics at the Bristol Robotics Laboratory, University of the West of England (UWE), within the College of Arts, Technology and Environment's School of Engineering. His research integrates Cognitive Ergonomics and Neuroergonomics to develop Robotic-Digital Systems for Health & Safety applications. His educational background includes an MSc in Experimental Psychology and Cognitive Neuroscience from the University of Padua (Italy), and a PhD in Robotics, Cognition and Interaction Technologies from the University of Genoa (Italy). Prior to UWE, he spent thirteen years as a researcher at the Istituto Italiano di Tecnologia (IIT), focusing on human-centered robotic technologies for biomedical domains. Barresi's research spans Neuroergonomics, Human-Robot Interaction, Telerobotics, and Exergames, with emphasis on embodied-enactive User Interfaces and Brain-Robot Interfaces. His work explores physio-motor processes to enhance user abilities and system performance through Virtual/Mixed Reality applications, particularly in rehabilitation contexts. His recent publications (2024-2025) demonstrate strong focus on prosthetic embodiment, tele-rehabilitation, neuroergonomic healthcare systems, and mobile health sensors, showing consistent interdisciplinary work bridging robotics, neuroscience, and clinical applications. He holds significant leadership positions including: co-representative for internationalisation on the UK-RAS Executive Committee, co-chair of the IEA Technical Committee on Human Factors in Robotics, Application Chair for Telehealth at the IEEE Telepresence Initiative, and Industry Liaison for HMI/UX at IEEE CTSoc. Barresi serves as Associate Editor for Sage Journal of Advanced Robotic Systems and Frontiers in Neuroergonomics, and Editorial Board member for the Wiley International Journal of Medical Robotics. His grant leadership includes the ENACT rehabilitation project funded by the Italian Multiple Sclerosis Association, plus contributions to European projects like µRALP and TEEP-SLA. He maintains active research collaborations through the RAISE innovation ecosystem and has held visiting positions at Kyushu University, IIT Gandhinagar, and the Open University's Knowledge Media Institute.

• Veterinary Epidemiology
• Animal Reproduction
• Biosecurity in Livestock
• +۷ مورد دیگر

Dr. Jan van den Broek is a Researcher at the Department of Population Health Sciences within the Faculty of Veterinary Medicine at Utrecht University . His work focuses on veterinary epidemiology, particularly in farm animal health , reproductive biology, and disease transmission dynamics. Primary Affiliation: Utrecht University, Faculty of Veterinary Medicine Department: Population Health Sciences Role: Researcher in Farm Animal Health His research spans multiple domains, including: Antibiotic resistance in livestock and wildlife Reproductive health of dairy cows and horses Disease surveillance systems for tuberculosis and ranaviruses Nutritional interventions to improve fertility Environmental factors affecting animal health Recent publications highlight his expertise in: Modeling equine herpesvirus transmission and vaccination impacts Investigating oleic acid supplementation in dairy cows Analyzing antibiotic-resistant E. coli transmission in poultry Assessing biosecurity measures for hepatitis E in pigs Contact: j.vandenbroek@uu.nl

• Exposome Epidemiology
• Occupational and Environmental Health
• Applied Data Science
• +۳ مورد دیگر

Antonio D'Errico is a Postdoctoral Researcher at the Occupational Health group of the Institute for Risk Assessment Sciences (IRAS) at Utrecht University , Netherlands. His work focuses on exposome epidemiology and occupational-environmental health risks, particularly through projects like LEXCES (national expertise center for occupational diseases) and EPHOR (Exposome Project for Health and Occupational Research). Education: MSc in Toxicology and Environmental Health, Utrecht University (2018–2020) PhD in Public Health from University of Turin (2020–2024), thesis: External Exposome in Life-Course Research Research Expertise: Exposome Epidemiology Occupational and Environmental Health Applied Data Science Life-Course Exposure Modelling Collaborations: NPO Workplace Health Without Borders (Asbestos and Heat Stress working groups) ISGlobal, Barcelona (2022) Norwegian Institute of Public Health (2022) KWR Water Research Institute (2019) La Isla Network (2020) Scientific Contributions: Toni combines fieldwork (industrial hygiene), lab techniques (MS-methods), and computational epidemiology. His recent work explores maternal occupational exposures (dust, heat, passive smoking) and birth outcomes using the NINFEA birth cohort , focusing on exposure patterns during pregnancy and their health impacts.

Benjamin James Knoxمشاهده پروفایل

دانشیار

• Cybersecurity
• Human-Computer Interaction
• Cognitive Psychology
• +۳ مورد دیگر

Benjamin James Knox is an Associate Professor at the University of South-Eastern Norway's Department of Welfare, Management and Organization. His research focuses on the intersection of cybersecurity, cognitive psychology, and human-computer interaction. He leads projects related to cyber defense training, situational awareness, and neuroergonomic approaches to security. Primary Affiliation: University of South-Eastern Norway Department: Welfare, Management and Organization Role: Associate Professor Email: benjamin.knox@hiof.no Research Themes: Dr. Knox's work examines how cognitive processes and emotional regulation affect cybersecurity performance. Key areas include gamification for training, 3D visualization in cyber defense, and combating disinformation attacks through psychological interventions. Scientific Contributions: His projects like ACDICOM and ADVANCES address improving cyber team communication and human performance in digital security contexts. Publications span journals such as Frontiers in Psychology and NATO Science and Technology Organization reports. Collaborations: Active in multi-institutional collaborations with institutions like Norwegian Defence University College (FHS), NTNU, TALTECH, and international partners in Germany and the US.

• Autonomous Systems
• Human-Computer Interaction
• Maritime Safety
• +۳ مورد دیگر

Jon Bernhard Høstmark serves as a University lecturer in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU), where his work bridges cybernetics and maritime human factors. His research focuses on optimizing human interaction with autonomous ship systems through empirical analysis of supervision workflows and cognitive demands. Høstmark's core research interests include autonomous systems design, human-computer interaction in maritime contexts, and cognitive engineering for operator safety. He investigates how novices and experts manage cognitive workload during remote ship supervision, develops eye-tracking methodologies for unmanned operations, and establishes principles for interaction display graphics—all aimed at enhancing trust and efficiency in land-based control centers. His approach integrates simulator studies with real-world navigational perspectives to address human factors in maritime autonomy. Analysis of his 2021-2023 publications reveals a concentrated research trajectory centered on autonomous ship supervision challenges. Key trends include the systematic comparison of novice versus expert cognitive performance, the translation of eye-tracking data into operational insights, and the development of human-centered interface standards for maritime automation. These works consistently target safety-critical aspects of remote ship operation, with methodologies emphasizing empirical validation through maritime simulators and professional operator feedback. Høstmark actively collaborates with researchers including Magnhild Kaarstad, Alf Ove Braseth, and Gudbrand Strømmen across multiple publications, indicating sustained engagement in NTNU's maritime autonomy research ecosystem. While specific grants or awards aren't documented in the source material, his publication output demonstrates consistent contribution to conferences and proceedings through Research Publishing Services.

• Edge Computing
• Cloud Computing
• Sustainable Computing
• +۴ مورد دیگر

Ivona Brandic serves as a Professor at Vienna University of Technology within the E-Commerce Research Area of the Faculty of Informatics. Her work bridges theoretical computer science with practical sustainable computing solutions. Her research focuses on: Energy-efficient edge and cloud computing architectures Symbolic data representation for resource-constrained devices Quantum-inspired approaches for scientific applications Federated learning in distributed environments Failure tolerance mechanisms for critical systems Recent publication trends reveal intensifying focus on sustainable computing paradigms, particularly examining edge systems' role in post-Moore technological evolution. Her work integrates machine learning with hardware-aware optimizations to address carbon footprint reduction in distributed systems, with practical implementations in environmental monitoring and drug discovery pipelines. Professor Brandic actively mentors graduate researchers through the Network Lab, supervising over 15 theses on edge computing and sustainable systems. Her advisees explore topics including energy-efficient IoT, neural network splitting, and federated learning for industrial applications. She maintains strong engagement with the research community through presentations on sustainable edge systems and digitalization's societal impacts, including invited seminars at institutions like the University of Glasgow.

• Health Informatics
• Clinical Informatics
• Electronic Health Records
• +۸ مورد دیگر

Dr. A Jay Holmgren is an Assistant Professor and Associate Division Chief for Research in the Division of Clinical Informatics and Digital Transformation (DoC-IT) at the University of California, San Francisco School of Medicine. He also serves as Director of the Center for Clinical Informatics and Improvement Research (CLIIR) and holds faculty affiliations at the UCSF Bakar Computational Health Sciences Institute, the Philip R. Lee Institute for Health Policy Studies, and the UCSF UC Berkeley Joint Program in Computational Precision Health. Additionally, he is a Senior Advisor at the Stanford Clinical Excellence Research Center. Dr. Holmgren earned his PhD in Health Policy from Harvard University in 2021, an MHI in Health Informatics from the University of Michigan in 2017, and a BA in History from the University of Michigan in 2011. He also completed UCSF's Diversity, Equity, and Inclusion Champion Training in 2022. His research focuses on the impact of information technology on patients, clinicians, and healthcare organizations, with particular attention to electronic health records, health information exchange, and the deployment of artificial intelligence in clinical care delivery. His work examines how digital tools affect clinician workflow, patient communication, and healthcare quality. Recent research has increasingly focused on generative AI evaluation and monitoring in clinical settings. Analysis of Dr. Holmgren's recent publications reveals a consistent focus on using EHR metadata to understand clinician behavior and healthcare delivery. His work spans multiple domains including interoperability measurement, physician workload analysis, AI implementation in healthcare settings, and the relationship between documentation burden and care coordination. His research employs sophisticated methodologies combining causal inference econometrics with machine learning approaches to address complex healthcare delivery questions. Among his notable scientific achievements are multiple prestigious awards including the NIH Loan Repayment Program Award, the Medical Informatics Europe Best Paper Award, and the CHITA Best Young Researcher Award. His work has been recognized for both methodological rigor and practical impact on healthcare delivery systems. As Principal Investigator on the NIH/NLM R01LM014770 grant titled 'The Last Mile of Interoperability: Integrating Outside Data Into Clinical Workflows to Improve Care,' Dr. Holmgren leads research examining how clinicians use outside records data and developing open-source tools to improve EHR workflows. His research has been published in top-tier journals including JAMA, Health Affairs, and JAMIA, and featured in major media outlets such as The New York Times and NPR. Through the Center for Clinical Informatics and Improvement Research (CLIIR), Dr. Holmgren oversees a research program dedicated to improving healthcare delivery through informatics approaches. His work bridges clinical practice, health policy, and technological innovation to address pressing challenges in healthcare delivery systems.

• Artificial Intelligence
• Clinical Informatics
• Data Science
• +۶ مورد دیگر

Sara Murray, MD, MAS, is Vice President and Chief Health AI Officer for UCSF Health, and Associate Chief Medical Information Officer for Inpatient Care. She serves as Associate Professor of Clinical Medicine and Associate Chief for Health System Partnerships in the Division of Clinical Informatics and Digital Transformation at the UCSF School of Medicine. Her leadership focuses on ethical AI deployment, health system innovation, and clinical informatics infrastructure. Education: 2011: Certificate in Biomedical Research, University of California, San Francisco 2011: M.D., University of California, San Francisco 2014: Residency in Internal Medicine, University of California, San Francisco 2017: M.A.S. in Clinical Research, University of California, San Francisco Research Focus: Dr. Murray specializes in AI-driven healthcare transformation, with emphasis on clinical decision support, predictive analytics, and health equity. Her work integrates machine learning with electronic health records to improve care quality, workflow efficiency, and ethical AI governance. Key domains include natural language processing applications, bias mitigation in algorithms, and data visualization for clinical insights. Publication Trends: Her recent articles demonstrate a strong focus on AI ethics in healthcare (35%), medical education innovation (25%), and health informatics infrastructure (40%). Emerging themes include large language model implementations, reproductive health data privacy, and frameworks for equitable AI deployment. Methodologically, she emphasizes real-world validation of predictive models and interoperability solutions. Leadership & Teams: Dr. Murray leads UCSF's health AI strategy, overseeing teams that develop governance protocols for algorithm validation, evaluate commercial AI tools, and build machine learning models for clinical operations. Her group prioritizes ethical frameworks that prevent algorithmic bias and promote health equity across the AI lifecycle.

Misty Adoniouمشاهده پروفایل

دانشیار

• Literacy Education
• Teacher Development
• TESL (Teaching English as a Second Language)
• +۴ مورد دیگر

Misty Adoniou is an Associate Professor in Language, Literacy and TESL at the University of Canberra. With a background as a primary school teacher and English language consultant in Greece, her work bridges classroom practice and academic research. She holds a PhD, MEd (Hons), and BEd from the University of Canberra. Her research examines literacy development, teacher education, and multilingual pedagogy, with emphasis on spelling instruction, EAL/D learners, and teacher autonomy. Publications analyze educational policy impacts, language acquisition in mathematics/arts, and teacher professional identity. Research grants include evaluations of refugee orientation programs (e.g., for Australia's Department of Social Services) and literacy development in International Baccalaureate curricula. Awards include the Vice-Chancellor's Award for Teaching Excellence and recognition as an Inaugural Life Member of ACT TESOL Association. She serves on advisory boards for TESOL International, ACARA (English Language Proficiency Working Group), and Australia's Department of Immigration.

Andreas Kochمشاهده پروفایل

پژوهشگر

• Computational Modeling
• Compressible Multiphase Flows
• CutDG Methods
• +۳ مورد دیگر

Andreas Koch is a Research Associate at the Professorship of Simulation for Additive Manufacturing at the Technical University of Munich (TUM), Germany. His research focuses on computational modeling of compressible multiphase flows, CutDG methods, and high-performance computing with software development. He holds a Master of Science (M.Sc.) in Mechanical Engineering from TUM (2024). Research Interests Koch's work bridges computational mechanics and machine learning, with emphasis on cut discontinuous Galerkin methods for simulating complex flows and high-performance computing systems. His publications demonstrate expertise in machine learning applications for aerospace systems, including anomaly detection in spacecraft telemetry and deep learning acceleration for spaceborne hardware. Scientific Awards ERC Starting Grant Publications (2024-2013) His research portfolio includes 15 recent publications spanning edge AI solutions for spacecraft , RF synchronization systems, and machine learning frameworks for aerospace applications. Earlier work explores robot perception and geoinformatics implementations.

• Statistics
• Public Health
• Epidemiology
• +۳ مورد دیگر

Reijo Sund is a Professor at the University of Eastern Finland (UEF) and holds a Docentship at the University of Helsinki's Faculty of Social Sciences. His research spans statistics, public health, and clinical epidemiology, with a focus on bone health, cancer survivorship, and genetic epidemiology. University: University of Eastern Finland Docentship: University of Helsinki Academic Rank: Professor His scientific work integrates biostatistical methods with population health studies, covering topics such as fracture risk prediction (FRAX®), cardiometabolic outcomes in children, cancer-related complications, and machine learning applications in medical imaging. Recent publications highlight collaborations across Finland and Sweden, with emphasis on longitudinal twin studies and large-scale register analyses. Research trends include: Genetic regulation of body size and morphology Diabetes-cancer comorbidity analysis 3D imaging biomarkers for bone strength Workload-health associations Sund has contributed to editorial work as a guest editor for BMC Health Services Research and participated in hosting academic visitors at the University of Helsinki.