جست‌وجوی استاد و پژوهشگر

Jun Yuمشاهده پروفایل

استاد

• Statistical Learning
• Spatiotemporal Data Analysis
• Compressive Sensing
• +۷ مورد دیگر

Jun Yu is a Full Professor in Mathematical Statistics at the Department of Mathematics and Mathematical Statistics, Umeå University, Sweden, where he also serves as Director of Doctoral Studies. His research focuses on Statistical Learning and Inference for Spatiotemporal Data, with applications in artificial intelligence and various scientific domains. Professor Yu leads a research group dedicated to tackling theoretical data science problems and developing statistical learning methods for solving real-world challenges across multiple disciplines. Professor Yu's primary research interests include statistical learning with sparsity, compressive sensing, mathematics of data science, hierarchical spatiotemporal modeling, nonparametric density/intensity estimation, statistical inference for hidden Markov models, and wavelet theory applied to signal and image analysis. His work spans numerous application areas including atmospheric icing, automobile industry, biomedical engineering, climate research, epidemiology, forestry, geochemistry, hydrology, radiation oncology, spatial ecology, sports science, and transportation. Professor Yu's recent publications demonstrate a strong trend toward interdisciplinary research at the intersection of statistical methodology and environmental science, medical imaging, and transportation systems. His work on tree-ring isotope analysis for climate reconstruction, compressive sensing for medical imaging, and statistical models for train delay prediction shows his ability to develop sophisticated statistical methods that address complex real-world problems across diverse domains. As Director of Doctoral Studies, Professor Yu oversees doctoral education in Mathematical Statistics and has supervised numerous PhD students. His teaching spans mathematical statistics at all levels, from basic education to postgraduate courses, for students in mathematics, statistics, biology, engineering, and forestry, delivered in English, Swedish, or Chinese. Professor Yu leads the research group on statistical learning and inference for spatiotemporal data at Umeå University. This group develops innovative approaches for analyzing complex spatiotemporal datasets using tools such as intelligent data sampling, large-scale environmental data modeling, multimodal image processing, and tree growth models, with applications across multiple scientific fields.

• X-ray Physics
• Synchrotron Radiation
• X-ray Free Electron Lasers
• +۱۲ مورد دیگر

Pablo Villanueva Perez is a Senior Lecturer and Associate Senior Lecturer in the Department of Physics at Lund University’s Faculty of Engineering (LTH). He is a Principal Investigator in Synchrotron Radiation Research and actively contributes to key interdisciplinary initiatives including NanoLund, the LTH Profile Areas in Nanoscience and Photon Science, and the LU Light and Materials research environment. He is also affiliated with eSSENCE: The e-Science Collaboration, highlighting his role in computational and data-intensive science. His research focuses on developing novel X-ray imaging methods and instruments that leverage the unique properties of diffraction-limited synchrotron-radiation facilities and X-ray free-electron lasers, such as MAX IV Laboratory and the European XFEL. His work spans advanced imaging techniques including ptychography, phase contrast imaging, and crystal optics, with applications in materials science, nanotechnology, and structural biology. The research contributes to UN Sustainable Development Goals related to innovation, industry, and sustainable infrastructure. The recent publications highlight a strong trend in high-resolution, time-resolved, and multi-modal X-ray imaging, particularly using next-generation synchrotron and XFEL sources. These works emphasize technical innovation in instrumentation, reconstruction algorithms, and experimental design for in-situ and operando studies. Pablo Villanueva Perez is involved in significant research projects, including AI-Twin (funded by the Swedish Research Council and eSSENCE), which integrates physics-informed AI for imaging reconstructions, and XUVPM (funded by Horizon Europe), focusing on extreme ultraviolet ptychographic microscopy. These projects reflect his leadership in merging advanced computational methods with experimental physics. He supervises research students, including Gunnarsson J. K., and collaborates extensively with national and international teams. His work is supported by major grants from the Swedish Research Council, eSSENCE, and the European Commission, underscoring the strategic importance and impact of his research. He is part of collaborative networks involving institutions across Europe and contributes to the development of beamlines and imaging infrastructure. His role as a supervisor and co-investigator positions him at the forefront of next-generation X-ray science and technology.

• Machine Learning
• Data Science
• Digital Twin Technology
• +۳ مورد دیگر

Manoranjan Kumar is a researcher at Linnaeus University, affiliated with the Industrial Research School Data Intensive Applications (DIA) and the Data Intensive Software Technologies and Applications (DISTA) research group. His work focuses on data-driven methods like machine learning and artificial intelligence, particularly applied to industrial challenges at Volvo CE through digital twin development projects. Key Research Areas : Machine learning, digital twins, fatigue analysis, predictive maintenance, industrial automation. Recent Publications : 4 peer-reviewed works (2023-2025) spanning fatigue analysis in welded joints, wheel loader automation, driving pattern classification, and EGR clogging prediction. These highlight interdisciplinary applications across construction, automotive, and transportation sectors. Collaborations : Actively works with Volvo CE on industrial digital twin platforms, emphasizing customer problem-solving and operational optimization. Affiliated with the Linnaeus University Center for Data Intensive Sciences and Applications (DISA).

• Cardiovascular care
• Cardiac arrest research
• Palliative care
• +۶ مورد دیگر

Liselott Årestedt is a Professor at Linnaeus University, affiliated with the Faculty of Health and Life Sciences and the Department of Health and Care Sciences. She leads the innovative Cardiac Arrest REsearch group (iCARE) and serves as a statistical advisor for the European Journal of Cardiovascular Nursing. Her academic journey began with nursing education, specializing in intensive care, and she earned her doctorate from Lund University in 2007 with research focused on health-related quality of life in elderly patients with chronic heart failure. Årestedt's research spans cardiovascular care, cardiac arrest survival, palliative care, and patient participation in healthcare. Her work emphasizes family-centered care for those living with chronic illness and methodological development in healthcare research. She has built an extensive research program examining patient participation across various care settings, particularly in kidney care and dialysis. Her publications demonstrate a consistent focus on qualitative methodologies, patient perspectives, and healthcare quality improvement. Her recent publications (2021-2025) show a strong emphasis on patient participation in kidney care, pedagogical challenges in nursing education, and process evaluations of person-centered care interventions. These works predominantly employ mixed-methods approaches, combining qualitative insights with quantitative measurements to assess healthcare interventions and patient experiences. Her research demonstrates interdisciplinary collaboration across nursing, psychology, and medical specialties. As an educator, Årestedt teaches at undergraduate, advanced, and doctoral levels, primarily in scientific methodology, statistics, and psychometrics. She supervises master's and doctoral students in nursing science and provides methodological consultation through the Kalmar Region researcher guidance program. Her leadership extends to directing the Health Outcome Measurements research group (HOMe) and contributing to national committees including the Swedish Heart-Lung Foundation's PROM working group and the Cancer Fund's prioritization committee.

Hans Fribergمشاهده پروفایل

استاد مدعو

• Cardiac Arrest
• Resuscitation
• Anesthesiology and Intensive Care
• +۵ مورد دیگر

Hans Friberg is an Adjunct Professor in Anesthesiology and Intensive Care at Lund University, serving as Consultant and Project Manager for the Center for Cardiac Arrest and SWECRIT (Swedish Critical Care Registry). His work advances UN Sustainable Development Goals related to health through critical care research and registry-based initiatives. His research centers on cardiac arrest pathophysiology and treatment, with expertise in out-of-hospital resuscitation, targeted temperature management, and biomarker development for brain injury and organ dysfunction. Key focus areas include prognostication methods, hypothermia protocols, and long-term cognitive/physical recovery in survivors. Recent publications emphasize biomarker applications in critical care settings, including calprotectin for sepsis diagnosis, cystatin C for renal risk stratification, and neurofilament for neurological outcomes. His work leverages large-scale registry data (SWECRIT) to identify risk factors and evaluate interventions across diverse critical illness populations. Scientific Awards: No major awards or fellowships are documented in the provided profile. Professor Friberg has supervised 12 doctoral students across critical care topics including acute kidney injury biomarkers, post-ICU recovery, and sepsis pathophysiology. He leads active projects such as the SWECRIT Covid-19 cohort study and contributes to international trials like TTM2, with funding from institutional and registry-based sources. He operates through the Center for Cardiac Arrest and SWECRIT collaborative networks, which integrate 30+ Swedish intensive care units to drive registry-based research on resuscitation science and critical care delivery optimization.

Tomas Jernbergمشاهده پروفایل

استاد

• Cardiology
• Cardiovascular Disease
• Epidemiology
• +۷ مورد دیگر

Tomas Jernberg is a Professor of Cardiology and Head of the Department of Clinical Sciences, Danderyd Hospital (KI DS) at Karolinska Institutet. His role combines academic leadership with clinical expertise as a Senior Physician, overseeing research and education at the department. He chairs the National Program Group for cardiovascular diseases and previously led the SWEDEHEART registry, a key Swedish cardiac care registry. Education: Medical Degree, Karolinska Institutet (1993) Associate Professor, Cardiology, Uppsala University (2003) Professor in Epidemiology, Karolinska Institutet (2016) Professor in Cardiology, Karolinska Institutet (2019) Research Interests: His research focuses on acute and chronic coronary syndromes, including randomized clinical trials, observational studies, and epidemiological analyses using national registries. He develops imaging methods like coronary computed tomography angiography (CCTA) to identify high-risk plaques and studies implementation of evidence-based guidelines in clinical practice. Recent work explores socioeconomic disparities in cardiovascular outcomes, comorbidities such as ADHD and COPD, and drug efficacy (e.g., ezetimibe, beta-blockers) using large-scale registry data. The group also investigates aortic valve calcification and genetic factors in atherosclerosis through the SCAPIS study. Articles Trends: His 2025 publications emphasize registry-based research, multimorbidity studies (e.g., COPD and coronary artery disease), and interventional trials (e.g., Helicobacter pylori screening in MI patients). The work spans biomarker discovery, population health analysis, and comparative effectiveness research of treatments and imaging modalities. Scientific Awards: None explicitly listed Advising & Grants: - Supervised Moa Simonsson's thesis on bleeding complications post-MI - Current grants include the MIMS-study (metabolic surgery in post-MI obesity), ADHD-cardiometabolic research, and trials extending evidence from randomized controlled trials to broader populations. Past grants involved CCTA in chest pain evaluation and beta-blocker usage optimization. Labs/Teams: Leads the Cardiology research group at KI DS and chairs the SWEDEHEART registry. Collaborates with the SCAPIS study team for atherosclerosis research and the National Program Group for cardiovascular disease policy initiatives.

Elin Ekblom Bakمشاهده پروفایل

استاد

• Sedentary Behavior
• Physical Activity
• Cardiorespiratory Fitness
• +۵ مورد دیگر

Elin Ekblom Bak is a Professor at the Swedish School of Sport and Health Sciences (GIH), where she serves as Director of Studies for the Master's Programme. She leads the Health Profile Institute (HPI) group and the WORK TOGETHER research program (2020–2026), focusing on improving corporate health care through co-creation with stakeholders. Research Areas: Sedentary behavior, physical activity, cardiorespiratory fitness, and their public health implications. Key Projects: SCAPIS cohort study (physical activity patterns), Ekblom-Bak cycle test development, and lifestyle clinic evaluations. Recent Trends: Her 2025–2024 publications emphasize metabolomics, CVD biomarkers, and fitness's role in mental health. Earlier work includes methodological studies on accelerometry in spinal cord injury patients and cancer cohorts. Clinical Contributions: She runs the Wellness Pilot Clinic at GIH and co-authored the book Prolonged Sedentary Behaviour – A Health Hazard in Time (2013, updated 2021).

Ted Morrowمشاهده پروفایل

مدرس ارشد

• Evolutionary Biology
• Sexual Conflict
• Genetic Loci Analysis
• +۳ مورد دیگر

Ted Morrow is a Senior Lecturer in the Department of Evolutionary Genetics of Sexual Conflict at Karlstad University, Sweden. His research focuses on the evolutionary biology of sexual conflict, particularly investigating how genetic loci mediate sexually antagonistic selection and its implications for human disease. He leads the course 'BIGC14 - Livets utveckling och mångfald' (Evolution and biodiversity of life). Funding for his work has been provided by prestigious organizations including The Royal Society, the European Research Council, and the Swedish Research Council. Collaborations include researchers at institutions such as University of Sussex, UCL, CNRS Montpellier, and Monash University. His work combines experimental studies with Drosophila melanogaster and human genomic data to unravel how sexual conflict shapes genetic variation and disease susceptibility. Recent papers address topics like recombination dynamics, genital evolution in bedbugs, and sexually antagonistic polymorphisms in human traits. Awards and grants have supported his projects on sexual selection intensity, sex chromosome coevolution, and the evolutionary drivers of male-biased selection pressures. His lab explores both microevolutionary mechanisms and macroevolutionary patterns, contributing to foundational theories in evolutionary genetics.

Anna Drakenbergمشاهده پروفایل

پژوهشگر

• Nursing Science
• Cardiothoracic Intensive Care
• Family-Centered Care
• +۳ مورد دیگر

Anna Drakenberg is an Affiliated Researcher at Örebro University's School of Health Sciences (Department of Health Sciences) and a registered nurse in cardiothoracic intensive care at Örebro University Hospital. She holds a PhD and leads research on patient recovery and family-centered care in cardiac surgery contexts. Research Focus: Anna investigates patient well-being, family involvement, and cognitive recovery post-cardiac surgery. Her projects include health-economic evaluations of family health conversations and clinical applications of ultrasound by specialist nurses. Key research areas: Nursing Science & Cardiothoracic Care Family-Centered Interventions Clinical Ultrasound in Nursing Long-term Recovery Metrics Her publications (2023-2025) predominantly employ mixed-methods designs, critical incident techniques, and instrument validation, emphasizing patient/family perspectives in cardiac surgical care. Teaching & Leadership: Anna supervises undergraduate/graduate theses at Örebro University. She founded the National Network for Thoracic Intensive Care Nurses (NTHIS) in 2017 and participates in the Swedish Association of Anesthesia and Intensive Care (AnIva).

Carla Coelhoمشاهده پروفایل

پژوهشگر

• Life Cycle Assessment
• Environmental Management
• Biodiversity Conservation
• +۴ مورد دیگر

Carla Coelho is a Researcher and Postdoctoral Fellow at the Centre for Environmental and Climate Science (CEC) and part of the BECC: Biodiversity and Ecosystem services in a Changing Climate research group at Lund University. She contributes to the LU Profile Area: Nature-based future solutions. Her work focuses on Life Cycle Assessment (LCA) methodologies, environmental impacts of food systems, land use practices, and biodiversity conservation. She holds a PhD in Environmental Sciences from Universität Stuttgart (2021). Education: Doctoral Thesis (2021) on 'Perforation Potential in Life Cycle Assessment' from Universität Stuttgart. Her research integrates environmental management with sustainable development goals, particularly addressing dietary choices, agricultural practices, and innovative LCA approaches. She has developed methods like 'fuzzy thinking' to bridge land use practices and biodiversity conservation. Key areas include protein extraction from fisheries by-products, LCA simplification, and GIS applications in environmental impact analysis. Recent activities include presenting at the SETAC Europe LCA Symposium (2024) and organizing LU Land frukostseminarium #27 (2024). She collaborates internationally on projects like Mistra BIOPATH (2022–2026), focusing on biodiversity and biotechnology pathways.

• X-ray spectroscopy
• Soft x-ray emission spectroscopy
• Instrument development
• +۴ مورد دیگر

Marcus Agåker is a Researcher at Uppsala University's Department of Physics and Astronomy, specializing in X-ray Physics and Chemical and Biomolecular Physics. He works at The Ångström Laboratory in Uppsala and serves as project leader for the VERITAS beamline at MAX IV Laboratory in Lund, Sweden's state-of-the-art synchrotron radiation facility. His educational background includes: PhD in Physics from Uppsala University (2006) with thesis "Double Excitations in Helium Atoms and Lithium Compounds" Dr. Agåker's research focuses on instrument and method development in soft x-ray emission spectroscopy. With expertise spanning over 25 years since joining Uppsala University in 1999, his work bridges theoretical physics and practical instrumentation. His specialty in vacuum-ultraviolet spectroscopy and soft x-ray emission techniques has positioned him as a key contributor to advancing x-ray analysis capabilities for materials science, molecular physics, and quantum mechanics research. His publication record demonstrates a clear progression from fundamental studies of atomic and molecular systems to increasingly sophisticated instrumentation for next-generation light sources. Recent work emphasizes instrument automation, high-resolution imaging, and novel approaches to studying quantum systems, with significant contributions to journals like Nature, Science Advances, and Journal of Synchrotron Radiation. As project leader for the VERITAS beamline, Dr. Agåker oversees the development of novel mirror systems, experimental chambers, and a 10m high-resolution x-ray spectrometer. This project represents a major contribution to Sweden's research infrastructure in x-ray science and supports interdisciplinary research across physics, chemistry, and materials science.

Alessandro Bertoniمشاهده پروفایل

استاد

• Value-Driven Design
• Product-Service Systems
• Systems Engineering
• +۴ مورد دیگر

Alessandro Bertoni serves as Professor of Mechanical Engineering at Blekinge Institute of Technology (BTH) since April 2025, affiliated with the Department of Mechanical Engineering at the Karlskrona campus. He leads research in value-driven design methodologies and product-service systems development, collaborating extensively with aerospace and civil engineering industry partners. His research interests span value-driven design, product-service systems (PSS), and data-intensive technologies for engineering decision support. Bertoni's work focuses on developing methods and tools to support early phases of product and system development, particularly through value visualization techniques and changeability assessment frameworks. He actively investigates how data mining and machine learning can create predictive models that address reliability issues in deterministic engineering models, with applications in aerospace, civil engineering, and construction machinery sectors. His publication record demonstrates consistent growth in impact, with recent work emphasizing digital twin applications, changeability frameworks for circular systems, and data-driven approaches to value assessment. The research trajectory shows increasing integration of artificial intelligence techniques with traditional systems engineering approaches, particularly in the context of sustainable product development and resilient system design. Bertoni teaches across all academic levels, including systems engineering, research methodology in engineering design, and innovative sustainable product development courses. His educational approach incorporates value-driven design principles into engineering education, preparing students to address complex design challenges through quantitative and qualitative assessment methods. As part of the Product Development Research Lab at BTH, he collaborates with researchers like Marco Bertoni, Tobias Larsson, and other international partners on projects addressing challenges in high-variety, low-volume manufacturing contexts, sustainable design, and digital transformation of engineering processes.

• Cancer Rehabilitation
• Exercise Oncology
• Psychosocial Aspects of Cancer
• +۵ مورد دیگر

Karin Nordin is a licensed psychologist and Professor of Caring Sciences at the Department of Public Health and Caring Sciences, Uppsala University. She serves in dual roles within the department: in Administration and in the Public Health, Working Life and Rehabilitation division. Her research primarily focuses on exercise interventions during cancer treatment and their effects on quality of life, fatigue management, and physical outcomes. She leads the international Phys-Can project, a major collaborative effort examining physical training and cancer outcomes. Dr. Nordin's research interests span cancer rehabilitation, exercise oncology, psychosocial aspects of cancer, quality of life research, and fatigue management. Her work uniquely bridges psychological support with physical exercise interventions for cancer patients. She has also conducted significant research on amyotrophic lateral sclerosis (ALS) patients and their families, examining anxiety, depression, and coping mechanisms throughout the disease trajectory. Her earlier work included studies on genetic counseling psychology and patient decision-making. Analysis of her recent publications reveals a strong focus on longitudinal exercise interventions during and after cancer treatment, particularly examining how different exercise intensities affect physical and psychological outcomes. Her Phys-Can project represents a comprehensive approach to understanding exercise adherence, physiological changes, cost-effectiveness, and quality of life improvements. The research increasingly incorporates biomarker analysis to understand mechanisms behind exercise benefits and employs sophisticated statistical methods to examine moderators of treatment response. As principal investigator of the Phys-Can project, Dr. Nordin leads a major international collaboration involving researchers from Uppsala University, Lund University, Linköping University in Sweden, the University of Agder and Bergen in Norway, University of Copenhagen in Denmark, The Netherlands Cancer Institute, VU University Medical Centre, University of Amsterdam, and University of Leeds in the UK. Her work has established important evidence for integrating structured exercise programs into standard cancer care protocols. Dr. Nordin's laboratory and research team operate within the Department of Public Health and Caring Sciences, focusing on translational research that bridges clinical practice with scientific investigation. The Phys-Can project team includes experts in exercise physiology, oncology, psychology, and health economics working together to develop evidence-based exercise recommendations for cancer patients. Their community-based approach ensures research findings can be practically implemented in real-world healthcare settings.

Jeffrey Hawkesمشاهده پروفایل

دانشیار

• Dissolved Organic Matter
• Environmental Chemistry
• Mass Spectrometry
• +۵ مورد دیگر

Jeffrey Hawkes is an Associate Professor in the Department of Chemistry - BMC at Uppsala University, specializing in Analytical Chemistry. Originally from the UK, he leads the Hawkes'Group which focuses on the characterization of dissolved organic matter in natural systems using advanced analytical techniques. His research interests center around environmental chemistry, particularly the analysis of dissolved organic matter in aquatic systems. Hawkes employs sophisticated methods including liquid chromatography coupled with electrospray ionization mass spectrometry to understand the chemical diversity and reactivity of natural organic matter. His work spans from method development to field studies examining carbon cycling in diverse environments including lakes, forests, and marine systems. The recent publications reveal a strong focus on dissolved organic matter composition across various environments, with particular attention to seasonal variations, water residence time effects, and analytical methodology improvements. His research group has produced significant work on Arctic systems, drinking water treatment implications, and fundamental analytical chemistry challenges in organic matter characterization. Hawkes has established himself as a leading researcher in environmental analytical chemistry with numerous high-impact publications in journals such as Nature Geoscience, Environmental Science & Technology, and Limnology and Oceanography. His work bridges analytical chemistry with environmental science to address fundamental questions about carbon cycling in natural waters. His research group includes Alexander Craig (Researcher) and Mahsa Norouzi (PhD student), with whom he collaborates on various projects related to dissolved organic matter characterization. The group works closely with colleagues both within Uppsala University and internationally to investigate carbon cycling processes in aquatic environments.

David Johnsonمشاهده پروفایل

دانشیار

• Information Systems
• Artificial Intelligence
• Data Infrastructures
• +۳ مورد دیگر

David Johnson is an Associate Professor of Information Systems at Uppsala University's Department of Informatics and Media. He also holds positions as a Visiting Fellow at the University of Oxford's Kellogg College and Senior Associate Tutor (Honorary) at Oxford's Department for Continuing Education. His academic background includes a PhD in Computer Science from the University of Reading, UK, and a Postgraduate Certificate in Teaching and Learning in Higher Education from the University of Oxford. Previously, he held research positions at the University of Oxford's Department of Engineering Science, Imperial College London's Data Science Institute, and Oxford's Department of Computer Science. Dr. Johnson's research focuses on data infrastructures supporting data-intensive scientific research and the practices around using data and artificial intelligence. His expertise spans information systems, artificial intelligence, data infrastructures, interoperability, and life sciences research. He has directed significant projects including European-funded research from the EU Sixth Framework Programme to Horizon 2020, with recent work focusing on AI replication practices in life sciences and the adoption of large language models for citizen services. His publication record shows a clear evolution from technical data infrastructure development toward interdisciplinary research addressing ethical considerations, transparency, and trust in AI systems. Recent works increasingly bridge technical aspects with societal implications, policy considerations, and educational frameworks for AI. University of Oxford Teaching Award (Mathematical, Physical and Life Sciences Division), 2016 New & Future Educators Award jointly given by AAAI and ACM, 2022 Dr. Johnson directs the Masters Programme in Information Systems at Uppsala University and serves as course director for several key courses including Data Mining and Applied Machine Learning (Bachelors), Digital Infrastructure (Masters), Artificial Intelligence and Machine Learning (Masters), and Big Data Analytics (Masters). He is section leader for Information Systems at his department and a member of the Uppsala University Computational Social Science Lab. His grant portfolio includes European-funded research projects and a Vinnova-funded project on large language models for citizen services. He maintains active international collaborations and has consulted for the United Nations on big data and data science, demonstrating strong connections between academic research and practical implementation in diverse contexts.