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Anders BentienView profile

Professor

• Redox Flow Batteries
• Vanadium Batteries
• Electrochemical Energy Engineering
• +5 more

Anders Bentien serves as a Professor and Section Head in the Department of Bio- and Chemical Technology - Process and Materials Engineering at Aarhus University. He also holds a position as Lecturer at WATEC (Center for Water Technology). His institutional affiliations include Åbogade 40A in Aarhus N, Denmark, and the WATEC Center at Hangövej 2. Professor Bentien's research focuses on electrochemical energy storage and conversion systems , with particular expertise in redox flow batteries, vanadium battery technology, and hydrogen production through alkaline water electrolysis. His work spans fundamental material science to applied engineering solutions for renewable energy integration. Key research themes include electrode optimization, battery degradation mechanisms, crossover mitigation strategies, and novel approaches to enhance hydrogen production efficiency. Analysis of his recent publications reveals a strong trend toward practical applications of energy storage technologies, particularly in grid-scale and residential settings. His research increasingly integrates multiple energy conversion pathways, as seen in projects like DUALFLOW that combine hydrogen production with chemical synthesis. The work demonstrates a progression from fundamental material studies to system-level engineering solutions for renewable energy challenges. Professor Bentien actively supervises PhD students (3 listed) and has been involved in numerous research projects, including the LC-H2 project for low-cost hydrogen production, H2-Anode development, and the DUALFLOW dual circuit flow battery system. His collaborative network spans multiple countries and institutions, reflecting the international nature of energy research. His laboratory work centers around the Center for Water Technology at Aarhus University, where he leads research on electrochemical systems for energy conversion and storage. The research group maintains strong connections with industry partners working on Power-to-X technologies, as evidenced by his involvement in courses on biogas valorization and ammonia plant modeling.

• Nanoshock
• Multiphase Flow Analysis
• Cavitation Dynamics
• +3 more

Alexander Bußmann is a Researcher at the Chair of Aerodynamics and Fluid Mechanics at the Technical University of Munich . His work focuses on nanoshock phenomena and multiphase flow analysis , particularly through numerical simulations of cavitation dynamics and interface tracking. Research Highlights: Development of hybrid WENO5IS-THINC schemes for compressible multiphase flows Analysis of micro-jet formation via cavitation bubble interactions Investigation of particle deposition in thermal-spray gun nozzles Publications span topics in fluid mechanics, computational physics, and photonics, with a focus on cavitation dynamics, numerical methods, and multiphase flow modeling. Key collaborations include work with Stefan Adami and Nikolaus A. Adams .

Jonathan Obrist-FarnerView profile

Associate Professor

• Sedimentology
• Stratigraphy
• Paleoclimatology
• +4 more

Dr. Jonathan Obrist-Farner is an Associate Professor in the Department of Geosciences and Geological and Petroleum Engineering at Missouri University of Science and Technology. His research focuses on sedimentology, stratigraphy, and paleoclimatology, with emphasis on basin evolution under tectonic, climatic, and anthropogenic controls. He serves as a Research Investigator for CREE (Center for Research in Energy and Environment). Education: Ph.D. in Geology and Geophysics, Missouri University of Science and Technology (2015) M.S. in Geology and Geophysics, Missouri University of Science and Technology (2012) B.S. in Geology, Wichita State University (2010) B.A. in Psychology, Wichita State University (2010) Research Interests: Dr. Obrist-Farner investigates sedimentary basin evolution in rift and pull-apart settings, paleoclimate reconstruction using lacustrine sediments, and tectonic controls on sedimentation. Key projects include the evolution of Lake Izabal (Guatemala), Mahajanga Basin (Madagascar), and deepwater sediment waves. His interdisciplinary work integrates field geology, sediment core analysis, and geophysical methods. Publications: Recent articles (2021-2025) predominantly explore lacustrine sediment records in Central America, focusing on paleoclimate reconstruction, earthquake-induced sedimentation, and anthropogenic impacts. His work demonstrates strong thematic consistency in Quaternary geology, tectonic geomorphology, and carbon cycling in tropical lake systems. Grants & Collaborations: Leads the Lake Izabal Basin Research Endeavor (LIBRE) continental drilling project. Collaborative research includes NSF-funded studies on Central American hydroclimate and ICDP (International Continental Scientific Drilling Program) initiatives.

• Artificial Neural Networks
• Machine Learning
• Data Mining
• +5 more

Marija Blagojević is a Full Professor at the Department of Information Technologies within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over fifteen years of experience in teaching and research, she has established herself as a leading academic in Information Technologies and Systems. Her work spans multiple domains including artificial intelligence, machine learning, and educational technologies, contributing significantly to both theoretical advancements and practical applications in these fields. Dr. Blagojević began her academic career at the Technical Faculty in Čačak in October 2007, initially conducting exercises for courses in Informatics Methodology and IT Applications-Practicum. She was appointed as an Assistant in June 2008 and has since advanced to her current position as Full Professor. Throughout her career, she has continuously expanded her expertise through various specialized courses including Oracle Academy courses in database design and programming, machine learning from Stanford University, and certifications in Huawei AI technologies. Her research interests primarily focus on the application of artificial intelligence techniques to solve complex problems across diverse domains. She has made significant contributions to neural network applications, developing models for predicting apricot yields, air pollution levels, and student success in programming courses. Her work in e-learning technologies demonstrates innovative approaches for adaptive course delivery using data mining techniques. She has also pioneered research at the intersection of AI and psychology, exploring concepts like 'Artificial Psychology' and 'PsAIchology'. Analysis of Dr. Blagojević's recent publications reveals a clear trajectory toward interdisciplinary applications of artificial intelligence. Her work increasingly bridges computer science with psychology, healthcare, and environmental science. A notable trend is her focus on explainable AI, ensuring complex machine learning models remain interpretable for end-users. Her research also demonstrates strong commitment to applying technology for social good, particularly in education and rural development contexts, as evidenced by projects like WINnovators Space. Scientific Awards and Recognitions Award from 'dr Milivoje Urošević' foundation for best graduating student in 2006/2007 Four awards from Technical Faculty for excellent academic results each school year Scholarship from Fund for Young Talents Scholarship from University of Kragujevac (as one of 11 best students) Scholarship from Čačak municipality Scholarship from 'Denise Hale' Foundation Award for the best second-place innovative idea from the Union of Engineers and Technicians of Serbia (February 2020) Recognition for the best female scientist with most research results at University of Kragujevac (February 2022) Dr. Blagojević has been actively involved in research supervision and grant-funded projects throughout her career. She has served as a reviewer for three scientific journals and participated in significant research initiatives including 'Development of new information and communication technologies using advanced mathematical methods' (Project III 44006) and 'Application of biomedical engineering in preclinical and clinical practice' (Project 41007). Her international collaboration includes participation in TEMPUS project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES and Erasmus mobility at Alexandru Ioan Cuza University of Iaşi. As a member of the Computer Science Laboratory at the Faculty of Technical Sciences, Dr. Blagojević contributes to a collaborative research environment focused on advancing information technologies. Her interdisciplinary approach connects computer science with psychology, healthcare, and environmental science, demonstrating how technology can address complex real-world challenges while enhancing educational outcomes and community development.

Suzanne GrantView profile

Senior Lecturer

• Medical Anthropology
• Healthcare Improvement
• Ethnography
• +7 more

Suzanne Grant is a Senior Lecturer in Medical Anthropology at the University of Dundee, working within the School of Medicine and Population Health and Genomics department. She holds a prominent position in medical anthropology research and teaching, with a focus on healthcare quality and safety improvement. Dr. Grant actively supervises PhD students and leads multiple research projects addressing critical healthcare challenges. Her educational background includes: Master in Science, Public Health Research from the University of Edinburgh (2010) Doctor of Philosophy in Social Anthropology from the University of St Andrews (2006) Master of Arts in Social Anthropology from the University of St Andrews (1999) Dr. Grant's research is situated at the innovative intersection of anthropology and healthcare improvement. She specializes in applying ethnographic methods, particularly video reflexive ethnography (VRE), to understand and enhance health, care, and wellbeing contexts. Her work uniquely combines insights from anthropology, improvement science, and design to develop novel approaches for improving healthcare systems. A key aspect of her methodology involves actively engaging professionals, patients, carers, and NHS stakeholders in the co-design of improvements across diverse healthcare settings. Her research focuses on critical areas including patient safety, medication management, and healthcare system optimization, with particular attention to socio-technical aspects of healthcare delivery. Dr. Grant's recent publications demonstrate a consistent focus on applying ethnographic approaches to address pressing healthcare challenges, particularly in medication safety, inter-professional collaboration, and care home settings. Her work spans multiple healthcare contexts including acute medical units, pediatric care, and community care settings, reflecting her commitment to improving healthcare systems across the continuum of care. Her notable scientific achievements include: Economic and Social Research Council (ESRC) studentship Emslie Horniman/Sutasoma Trust Award from the Royal Anthropological Institute Medical Research Council (MRC) Population Health Scientist Postdoctoral Fellowship As an academic advisor, Dr. Grant supervises PhD students and research projects at both undergraduate and postgraduate levels. Her extensive grant portfolio demonstrates significant research leadership, with funding from major organizations including the Scottish Government, Medical Research Council, Economic and Social Research Council, and NHS Scotland. These projects address critical issues in healthcare improvement, medication safety, and system redesign. Dr. Grant also co-convenes the British Sociological Association Medical Sociology Scottish Regional Group and is an active member of the Video Reflexive Ethnography International Association, highlighting her leadership in these specialized research communities. Dr. Grant leads the BMSc Healthcare Improvement degree programme and several key modules focusing on ethnography and healthcare improvement. Her interdisciplinary approach connects medical education with design anthropology through collaborations with the Duncan of Jordanstone College of Art and Design, creating innovative educational pathways for future healthcare professionals.

Matthias HedrichView profile

Researcher

• Vocational Education
• Technology Didactics
• Digital Learning Environments
• +3 more

Matthias Hedrich is a researcher at the University of Stuttgart's Institute of Educational Science, specializing in vocational education with a focus on technology didactics. He combines academic research with practical teaching experience as a Studienrat (senior teacher) at Gewerbliche Schule Backnang, delivering courses in metalworking and electrical engineering education. Key research areas: Competency assessment in vocational training, digital learning environments (Industry 4.0 integration), didactic adaptation of technical education, and experience transfer in industrial contexts. Projects: Developed the IKSM interactive training module (2017-2019), co-led the KoopAL DIGITAL initiative (2023) for cooperative learning in vocational settings, and contributed to digital.macht.schule (2021-2023) for digital competency transfer in teacher training. Publications: Focused on modeling vocational competencies, digital transformation in metalworking education, and structural equation modeling for assessing skill development factors. Teaching: Offers didactic exercises for internships and vocational training courses at the university level, while maintaining a 50% teaching position at Gewerbliche Schule Backnang. Recent work explores integrating Lernfabriken (learning factories) into teacher education and applying 360° video technology for immersive physics instruction. His research consistently bridges theoretical frameworks with practical implementations in vocational settings.

Amber R. KellyView profile

Associate Professor

• Trauma-Informed Clinical Practice
• Contemplative Practices
• Incarcerated Populations
• +4 more

Amber R. Kelly is an Associate Professor of Social Work at Quinnipiac University's School for Health Sciences. She teaches in the MSW program, specializing in trauma-informed clinical work, contemplative practices, and psychological trauma. Her research focuses on trauma-informed care, mindfulness-based interventions, and social justice advocacy for incarcerated populations. Education: BS, University of Florida MSW, Florida State University PhD, Smith College Dr. Kelly's scholarship emphasizes trauma recovery, systemic violence, and mindfulness applications in clinical settings. She actively collaborates with the Quinnipiac University Prison Project and leads trauma-informed programs in Connecticut prisons. Her work bridges social work education with interprofessional initiatives. Recent publications highlight her contributions to emergency medicine integration , restorative justice , and harm reduction practices . She has received accolades including the Inclusive Excellence Teaching Fellow (2023) and Albert Schweitzer Faculty Fellow (2022). Scientific Awards: Community Foundation for a Greater New Haven Strategy Grant (2018-2019) Inclusive Excellence Teaching Fellow (2023) Capstone Mentor Award (2023) Albert Schweitzer Faculty Fellow (2022) Center for Teaching and Learning Fellow (2019) Dr. Kelly also maintains a private practice focused on survivors of violence and serves on boards like Next Level Empowerment Program. Her expertise spans criminal justice , family violence , and cultural humility in social work.

• Cardiorespiratory Medicine and Haematology
• Clinical Sciences
• Public Health and Health Services
• +7 more

Dr. Yusuf Abdullahi serves as the iCARE Programme Manager within the Department of Surgery & Cancer at Imperial College London's Faculty of Medicine. With over 10 years of NHS experience and a PhD from Imperial College London completed between 2014-2018, he specializes in patient-centered care and research evaluation with particular focus on cardiac surgery outcomes. His research interests span Cardiorespiratory Medicine and Haematology, Clinical Sciences, Medical Biotechnology, and Public Health. Dr. Abdullahi has developed expertise in Clinical Medicine Research, Clinical Governance, Infection Prevention and Control, Outcomes Assessment, Real-World Evidence, and Translational Analytics. His work emphasizes patient safety and experiences, focusing on both patient-reported and clinician-reported outcomes through co-production with patients, lay partners, and commissioners. Analysis of his publication record reveals a strong focus on cardiac surgery outcomes, risk stratification methods, and the application of frailty assessments in surgical settings. His research demonstrates particular attention to ethnic health disparities, as evidenced by his 2025 study on increasing ethnic diversity in NHS leadership using AI approaches and his 2021 work on CABG outcomes in the South-Asian community. LEAN BLACK BELT certification from Institute of Six Sigma Professionals Dr. Abdullahi has made significant national contributions including implementation of WHO safe surgery protocols and refinement of health outcomes datasets for national audits in collaboration with the Royal College of Surgeons, National Cardiac Benchmarking Collaborative, Pan London Surgical Pathways, and the Society of Cardiothoracic Surgeons of Great Britain and Ireland. As an Associate Fellow of the Higher Education Academy (AFHEA), he contributes to student and staff development at Imperial College London and Imperial College Healthcare NHS Trust. His project management expertise includes leading cross-functional teams in delivering complex trust-level projects.

Frédéric GibouView profile

Professor

• Computational Science and Engineering
• Solid Mechanics, Materials & Structures
• Fluid Dynamics, Thermal Sciences & Fluid Mechanics
• +10 more

Frédéric Gibou is a Professor in the Department of Mechanical Engineering, Department of Computer Science, and Department of Mathematics at the University of California, Santa Barbara. He is also a core faculty member in the Computational Science and Engineering program. His academic journey began with a PhD in Applied Mathematics from UCLA, followed by post-doctoral research in the Departments of Mathematics and Computer Science at Stanford University. PhD in Applied Mathematics, UCLA Post-doctoral research, Stanford University (Mathematics and Computer Science) Professor Gibou's research sits at the interface between Applied Mathematics, Computer Science and Engineering Sciences, focusing on the design of high resolution computational methods for large scale computations. His work spans Computational Materials Science, Computational Fluid Dynamics, and Computational Image Analysis. The common thread across these applications is that they involve complex/free boundaries and similar classes of nonlinear partial differential equations. His group develops computational strategies on spatially adaptive grids for massively parallel environments, increasingly incorporating Machine Learning algorithms to solve forward and inverse problems. His research output shows a clear trend toward integrating traditional numerical methods with machine learning approaches, particularly for solving partial differential equations with complex interfaces. The publications reveal a strong focus on developing sharp interface methods, adaptive grid techniques, and novel computational paradigms that can handle multiscale phenomena across various scientific domains. Alfred P. Sloan Fellowship in Mathematics Regent's Junior Faculty Fellowship NSF Mathematical Sciences Postdoctoral Fellowship Robert Sorgenfrey Distinguished Teaching award Professor Gibou leads a multidisciplinary research group called Computational Applied Science Laboratory (CASL), which has strong collaborations with experimentalists at UCSB and worldwide. His group has received substantial funding from various agencies, enabling them to tackle challenging problems in computational science. CASL focuses on designing computational methods on Quad-/Oc-trees grids in the level-set formalism for solving previously intractable problems in science and engineering. The group's work spans Computational Materials Science (including nanostructured polymeric materials and high temperature multicomponent alloys), Computational Fluid Dynamics (including flow over superhydrophobic surfaces, flow in reactive porous media, and multiphase flows), and Computational Image Analysis (including image guided surgery and image segmentation).

Makda WeatherspoonView profile

Senior Lecturer

• Second Language Acquisition
• Teaching Arabic as a Foreign Language
• Curriculum Development
• +3 more

Makda Weatherspoon is a Senior Lecturer of Arabic in the Department of Near Eastern Studies at Cornell University's College of Arts and Sciences, where she has taught since Fall 2008. She maintains dual affiliations with the Africana Studies and Research Center and teaches across all levels of Arabic language instruction, including Elementary through Advanced Arabic, Arabic Language through Film, and Intensive Arabic programs. Her research centers on Second Language Acquisition, Teaching Arabic as a Foreign Language (TAFL), and innovative pedagogical methods. She specializes in Corpus Linguistics applications for curriculum design, integrating film for cultural immersion, and leveraging technology to enhance language learning. Her conference presentations address practical challenges such as Arabic alphabet instruction and corpus-based curriculum development. Her publication trajectory reveals a sustained focus on accessible Arabic pedagogy, exemplified by the 'Arabiyyat al-Naas' textbook series covering Egyptian and Levantine dialects. The series demonstrates systematic integration of cultural context with linguistic instruction, while her 2021 humor-focused chapter highlights her commitment to engaging classroom dynamics. Collectively, her work bridges theoretical linguistics with practical classroom implementation. Her scholarly recognition includes: Sophie Washburn French Instructorship award (2023), granted to only two College of Arts & Sciences faculty annually for language teaching excellence She serves as faculty advisor for the Ethiopian-Eritrean Student Association (ESSA) and volunteers with the Cornell Prison Education Program at Auburn Correctional Facility, where Arabic students function as teaching assistants. This prison education initiative represents a significant service commitment beyond standard academic responsibilities, though specific grant funding details remain unmentioned in available materials. Her Auburn Correctional Facility work constitutes a dedicated teaching team involving incarcerated learners, Cornell student TAs, and correctional staff. This program exemplifies her applied research interests by implementing language pedagogy in non-traditional educational settings while advancing accessibility to Arabic studies.

• Bioinformatics and Computational Biology
• Cancer Precision Medicine
• Computational Pathology
• +5 more

Mattias Rantalainen is a Senior Lecturer and Docent at Karolinska Institutet's Department of Medical Epidemiology and Biostatistics, where he leads the Predictive Medicine research group. His work focuses on applying statistical machine learning, artificial intelligence, and big data analytics to medical research, with particular emphasis on computational pathology and cancer precision medicine. The research group maintains over 300,000 whole slide images for population-based studies, primarily focused on breast, prostate, and colorectal cancer. Dr. Rantalainen completed his PhD at Imperial College London developing multivariate pattern recognition methods with applications in metabonomics. He previously held a research fellowship (2009-2013) with joint affiliation at the Department of Statistics and the Wellcome Trust Centre for Human Genetics at the University of Oxford, where he was awarded the MRC Centenary Early Career Award (2012-2013) and a Medical Research Council Special Training Fellowship in Biomedical Informatics (2009-2012). He holds an undergraduate degree in Engineering Biology (combined BSc/MSc) from Umeå University in Sweden. His research interests span computational pathology, cancer precision medicine, and AI-driven medical research. The Predictive Medicine group develops and applies AI and machine learning methodologies for predictive modeling in biomedical applications. Their mission is to transform large biomedical datasets into clinically relevant predictions at the individual level, with a particular focus on precision pathology applications where the goal is to predict patient outcomes. Their work integrates comprehensive molecular profiling (DNA- and RNA-sequencing), clinical information, and medical imaging data. Analysis of his recent publications reveals a strong trend toward developing and validating deep learning models in computational pathology, particularly for breast cancer applications. His work focuses on risk stratification, histological grading, and gene expression prediction from histopathology images. There's a clear progression from method development to clinical validation and implementation, with increasing emphasis on real-world applicability and comparison with established clinical assays. His research bridges the gap between computational methodology and clinical practice in cancer diagnostics. MRC Centenary Early Career Award (2012-2013) Medical Research Council (MRC) Special Training Fellowship in Biomedical Informatics (2009-2012) Dr. Rantalainen serves as main supervisor for PhD students Philippe Weitz and Abhinav Sharma, and as co-supervisor for several other doctoral candidates including Dusan Rasic, Sandra Kristiane Sinius Pouplier, and Tewodros Yalew. He coordinates the Swedish AI Precision Pathology (SwAIPP) consortium, which focuses on translation and implementation of AI-based pathology. His group has received significant funding, including a recent 120 million SEK grant to the Department of Medical Epidemiology and Biostatistics from Swedish funding agencies. The Predictive Medicine group operates within the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, coordinating several national and international initiatives including the CHIMES study (www.chimestudy.se), ABCAP (www.abcap.org), and the Swedish AI Precision Pathology consortium (www.swaipp.org). The group has developed numerous AI-based tools that improve cancer diagnosis and risk prediction, with several projects advancing toward clinical implementation as regulatory-approved medical devices. Their work represents a significant contribution to the field of precision pathology and AI-driven cancer diagnostics.

Monica FallonView profile

Researcher

• Health Information Systems
• Mobile Health Applications
• Behavior Change
• +3 more

Dr. Monica Fallon serves as a Researcher and Postdoctoral Researcher at the University of Mannheim's Business School, Department of Information Systems since 2022, continuing her affiliation after completing her Doctor rer. pol in 2021. Her office is located at L 15, 1–6, Room 520, 68161 Mannheim, with consultation hours by appointment. Her educational trajectory includes: Dr. rer. pol, Business School, University of Mannheim (2021) Master of Arts in Health Psychology, University of Arizona (2013-2014) Bachelor of Science in Psychology, University of Arizona (2009-2013) Dr. Fallon's research pioneers intersections between information systems and health psychology, specializing in mobile health applications that drive behavioral change through effective IT design. She investigates stress response mechanisms in virtual environments and develops digital interventions for healthcare contexts, with particular focus on synergistic behavior change techniques and real-time physiological monitoring. Her methodological approach integrates experimental designs with virtual reality platforms to model human-computer interactions in health settings. Publication trends reveal consistent innovation in digital health research methodologies, with increasing emphasis on micro-randomized trials and adaptive mobile interventions since 2020. Her work bridges information systems theory with clinical applications, demonstrating how combined behavior change techniques enhance mobile health efficacy while examining neurophysiological responses to digital stressors. Teaching responsibilities include: Corporate Knowledge Management (Master's level case study, 2017-2021) IT Management in the Digital Age (Master's level assistant, Spring 2022) Information Systems Theories (Doctoral level lecturer, Spring 2022) She operates within the Heinzl research team, advancing collaborative projects in health information systems while mentoring graduate students through course instruction.

Sinéad MatsonView profile

Researcher

• De-colonizing childhoods
• Equitable and ethical research methodologies
• Diversity and inclusion in education
• +7 more

Sinéad Matson is a post-doctoral researcher at Maynooth University's Department of Adult and Community Education within the School of Education . She actively contributes to the Erasmus+ funded TUTOR project , focusing on inclusive education strategies for second-level and further education educators across Europe. Her academic career spans diverse educational domains, including early childhood education and care, Montessori primary education, second-level teacher training, and further/higher education. She specializes in: Decolonizing childhood narratives Equitable and ethical research methodologies involving children Diversity and inclusion frameworks Matson's work emphasizes curriculum development and validation by the QQI in Irish third-level institutions. She actively designs continuous professional development courses in inclusive education, collaborating with European partners. Her research frequently addresses cultural nuances in educational practices, particularly in Majority World contexts. Scientific awards and honors: None documented. Her publications reflect interdisciplinary themes across: Decolonizing research paradigms Global educational policy transfer Marginalized child voice representation Ethical frameworks for cross-cultural research Curriculum design for inclusion Teacher-researcher dynamics in international settings Matson also engages in partnership model analysis for educational programs and consults on participatory research strategies across Europe.

• Public Health
• Digital Health Interventions
• Parental Support Systems
• +3 more

Viveca Larsson is a Senior Lecturer in Public Health Science at the University of Skövde's School of Health Sciences, where she conducts research on digital health interventions, parental support systems, and migration-related healthcare challenges. She works in Room G2406 and serves as Course Coordinator for multiple basic-level courses in health sciences. Current academic affiliation: Senior Lecturer, School of Health Sciences, University of Skövde Research focus: Digital health, parental education, transcultural healthcare Research Interests: Her work explores digital transformation in healthcare, particularly parental experiences in digitalized societies and technology-mediated solutions for migrant populations. She employs qualitative methodologies like phenomenographic studies and systematic literature reviews. Recent Article Trends: Her publications (2016-2025) demonstrate a sustained focus on digital health tools for parenting support and transcultural healthcare communication, with special attention to technology adoption in healthcare settings. Contact Information: Email: viveca.larsson@his.se Phone: 0500-448482

• Environmental Health
• Occupational Health
• Toxicology
• +3 more

Hilde Brun Lauritzen is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Medicine and Health Sciences. Her research focuses on environmental and occupational health, particularly the impact of chemical exposures on maternal-child health outcomes and workplace-related respiratory disorders. She has published extensively on topics such as prenatal exposure to persistent organic pollutants, occupational asthma in salmon processing, and acute respiratory distress from disinfectants. Key Research Areas: Environmental Health, Occupational Health, Toxicology, Public Health, Pediatrics, Epidemiology Institution: Norwegian University of Science and Technology Academic Rank: Associate Professor Her recent work examines the usability of electronic health records and their association with burnout and turnover intention in healthcare settings. She collaborates with researchers in Scandinavia and presents her findings at international conferences like the Pediatric Academic Society meetings and the International Fishing Industry Safety and Health Conference. Dr. Lauritzen's publications highlight interdisciplinary approaches to understanding chemical exposure pathways and health impacts, including prospective cohort studies and case series analyses. Her work bridges environmental toxicology with clinical outcomes, emphasizing preventive measures in both public and occupational health contexts.