Susanna Ågren is an Associate Professor of Nursing at the Department of Nursing and Reproductive Health, within the Faculty of Medicine at Linköping University. Her research focuses on frail patients in intensive care, person-centered care, and health literacy, particularly in heart surgery and critical illness contexts. She is also a course director for nursing program final years and an examiner at undergraduate and graduate levels. Her research group explores family functioning, health-promoting conversations, and decision support for critically ill patients. Key projects include interventions to improve health-related quality of life and prevent deterioration through patient-centered approaches. Ågren has received awards such as the First Prize Nursing Investigator's Award (2009) and Mölnlycke Travel Award. She supervises doctoral students at LiU and Örebro University, and her work involves international collaborations through networks like TASTE (meta-analysis of heart failure data) and CESAR (heart care coordination).
Markus Ådahl serves as Associate Professor in the Department of Mathematics and Mathematical Statistics at Umeå University, Sweden. His research focuses on developing advanced statistical methodologies for emergency medical services optimization, with primary office location at MIT-huset, plan 3, Matematik och matematisk statistik, MIT.B.349, Umeå. His work specializes in spatial statistics and machine learning applications for prehospital care systems. Key research areas include spatio-temporal modeling of ambulance demand, composite likelihood intensity estimation, and large-scale forecasting of emergency calls using log-Gaussian Cox processes. This research directly addresses operational challenges in northern Sweden's emergency response infrastructure through data-driven approaches. Recent publications demonstrate consistent focus on ambulance call pattern analysis, with methodological innovations in regularized semi-parametric modeling (2023) and large-scale spatio-temporal forecasting (2020). These studies establish critical frameworks for optimizing ambulance resource allocation in geographically complex regions. Ådahl currently leads the long-term research initiative Data-driven optimization of prehospital care via statistics and machine learning (2018-2028), which integrates statistical modeling with machine learning to enhance emergency medical service efficiency. While no formal advisees are listed in available materials, this project coordinates cross-disciplinary collaboration between statisticians, healthcare providers, and emergency response authorities.
Mehdi Moradi is an Associate Professor in Mathematical Statistics at the Department of Mathematics and Mathematical Statistics, Umeå University, Sweden. His research focuses on developing advanced methodologies for spatial and spatio-temporal marked point processes on general state spaces, including linear networks, with applications in criminology, seismology, environmental science, epidemiology, and transportation. He specializes in change-point detection, trajectory analysis, and statistical frameworks for analyzing complex spatio-temporal phenomena. His work integrates theoretical advancements with practical applications, particularly in environmental monitoring and urban planning. Recent research emphasizes cross-validation-based statistical frameworks for point processes, function-valued marked processes on linear networks, and hierarchical spatio-temporal change-point detection. He has contributed to open-source tools like the ‘spatstat.linnet’ package for R, enhancing computational methods in spatial statistics. Moradi’s publications span statistical theory, methodological innovation, and interdisciplinary applications, reflecting a commitment to bridging theoretical developments with real-world problem-solving. His research has been supported by grants and collaborations within Umeå University and beyond, though specific grants are not detailed in the provided text.
Henrike Häbel is a Researcher at Karolinska Institutet, affiliated with the Department of Learning, Informatics, Management and Ethics, Department of Clinical Neuroscience, and Department of Medicine, Huddinge. She holds roles in the Medical Statistics Unit and Tanja Tomson's Prevention group. With a doctoral degree in Mathematical Statistics from Chalmers University of Technology and the University of Gothenburg (2017), she completed a postdoc at the Natural Resources Institute Finland before joining Karolinska Institutet. Her work focuses on statistical consultation, data management, survival analysis, and regression modeling in epidemiological studies. She actively contributes to teaching across multiple academic institutions and participates in the Centre for Bioinformatics and Biostatistics. Key research interests include spatial and spatio-temporal statistics, spatial point processes, and image analysis. Her work spans diverse medical domains such as oncology, cardiovascular disease, and public health. She received the Cramér Prize for Best Thesis in 2018. Current projects include obesity prevention programs (MINISTOP 3.0), rural emergency team dynamics, and long-term outcomes of severe COVID-19. She collaborates across departments and institutions, contributing to multidisciplinary teams like the Eye movements and vision group under Tony Pansell.
Glenn Björklund is an Associate Professor and Senior Lecturer at Mid Sweden University, working within the Department of Health Sciences. He is based in Östersund at room 307b, with contact information glenn.bjorklund@miun.se and telephone +46 (0)10-1428149. Dr. Björklund is affiliated with The Swedish Winter Sports Research Centre, which serves as a key resource for Olympic winter sports development and monitoring. Dr. Björklund completed his doctoral thesis "Metabolic and Cardiovascular Responses During Variable Intensity Exercise" in 2010 at Mid Sweden University. His academic journey demonstrates progression from traditional exercise physiology to advanced interdisciplinary sports analytics. His primary research interests focus on biathlon performance analysis, cross-country skiing physiology, training load measurement, and sports biomechanics. Dr. Björklund employs advanced statistical methods including principal component analysis, kernel density estimation, and machine learning to analyze athletic performance across multiple sports. His work has expanded from traditional winter sports to include swimming, ice hockey, and tennis, demonstrating a growing interdisciplinary approach to sports science. Dr. Björklund's recent publication trends show a strong emphasis on data-driven performance prediction across multiple sports. His work increasingly incorporates machine learning techniques and advanced statistical modeling to extract meaningful insights from complex performance data, with applications spanning both winter and summer sports disciplines. Focus on One Swimming Stroke or Compete in Multiple (2025) Kernel Density Estimation for training intensity visualization (2025) Performance indicators in biathlon relay (2025) Discrepancies in training load measurements (2024) PCA for swimming performance prediction (2024) Dr. Björklund has received recognition through numerous collaborative research projects including ASPE-P (asthma, medication and performance), Elite performance in cross-country skiing and biathlon, and Pacing strategies for improved skiing performance. His work demonstrates consistent funding support and collaboration with researchers across Scandinavia and internationally. His research is conducted through The Swedish Winter Sports Research Centre, where he leads projects examining heart rate, oxygen uptake, and immune response in endurance exercise. Dr. Björklund's team utilizes advanced biomechanical analysis, physiological monitoring, and data science techniques to translate scientific findings into practical applications for athletes and coaches.
Dr. Alexander Lakaw is a researcher at the Department of Languages, Linnaeus University, specializing in corpus linguistics, language change, and historical linguistics. He leads the Centre of Language for Specific Purposes (CLSP) and contributes to the Data Intensive Digital Humanities research area. His research focuses on diachronic shifts in collective noun agreement patterns between American and British English, utilizing both traditional corpora and contemporary social media data like the Nordic Tweet Stream. He has published extensively on these topics, including a 2024 monograph on diachronic corpus studies and a 2022 book review in English Language and Linguistics . Lakaw's publications (2014-2024) span peer-reviewed journal articles, book chapters, and conference proceedings. His work explores intersections between grammatical theory, digital humanities, and multilingual data analysis, with recent trends examining social media's role in tracking linguistic evolution. Lakaw teaches historical linguistics and grammar courses. His research groups include the Centre for Data Intensive Digital Humanities and CLSP, which focus on multilingual environments and corpus-based evidence in linguistic research.
Andreas Stephan serves as the Acting Dean (Prodean) of the School of Business and Economics at Linnaeus University, a position he has held since May 2023. He is affiliated with the Department of Forestry and Wood Technology and actively participates in multiple research centers including the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA), the Linnaeus University Centre for Equality of Opportunity and Big Data Policy Analysis, and The Bridge—a unique partnership between Södra, IKEA, and Linnaeus University focused on innovation and sustainability in forestry and wood. Stephan holds a master's degree in industrial engineering and management from Technical University in Berlin and a PhD in Economics from Humboldt University Berlin. His research spans forest industry analytics, ESG and financial markets, green investment and finance, with particular focus on how innovation facilitates the green transition of industries. He has published extensively across economics, finance, and sustainability journals, with recent work examining sustainable finance, green bonds, forest economics, and the impact of environmental policies on business performance. His research portfolio includes significant projects such as TallBoard (exploring tall oil application in industrial fiberboards) and investigating the green transformation of the Swedish pulp and paper industry. Stephan serves as an associate editor for the journals Eurasian Economic Review and Business Strategy and the Environment, demonstrating his scholarly leadership in sustainable economics and finance. His recent publications show a strong trend toward integrating environmental considerations with financial decision-making, particularly in portfolio optimization and sustainable investment frameworks. Stephan is deeply embedded in Linnaeus University's research ecosystem, leading and participating in multiple research groups including Deterministic and Stochastic Modelling, Forest Economics, Forest Management, and Small-scale Forestry. His work bridges theoretical economic modeling with practical applications in sustainable industry transformation, reflecting Linnaeus University's commitment to addressing global sustainability challenges through interdisciplinary research.
Lina Behm is an Assistant Professor of Nursing at Kristianstad University's Faculty of Health Sciences , affiliated with the Department of Nursing Education and Integrated Health Sciences . She leads research at the PROCARE (Patient Reported Outcomes - Clinical Assessment Research and Education) and the FOHRK (Center for Food Health and Retail) platforms. PhD in Medical Sciences (Sahlgrenska Academy, 2014) Specialist nurse in District Nursing (Lund University, 2007) Registered nurse (HKR, 2001) Her research spans health promotion , person-centered lifestyle counseling , and interventions for vulnerable populations , including: Frail elderly care (Elderly at Risk, KUPA projects) Health equity for individuals with intellectual disabilities (ACCESS project) Professional well-being for healthcare staff (PROLIVA project) Healthy eating promotion through healthcare-marketing collaboration (Sustainable Eating Habits project) Recent publications focus on person-centered care models , staff wellness programs , and health counseling frameworks for at-risk populations. She serves as a main supervisor for multiple doctoral students and collaborates with regional healthcare authorities on preventive cardiovascular care via the LAG working group.
Sven Hellroth serves as an IT Administrator and Researcher at Stockholm University's Department of Economic History and International Relations, a position he has held since 2018. His dual role combines technical support responsibilities with significant scholarly research contributions in Swedish economic history. Dr. Hellroth earned his Ph.D. in Economic History from Stockholm University in 2011 with a dissertation examining From Labour Statistics to Business Tendency Survey: Labour Question and the Emergence of a Public Monitoring System of the Swedish Economy 1893-1914 . His research traces how growing concerns about labor issues at the end of the nineteenth century drove the development of early economic monitoring systems in Sweden. His scholarly work focuses on the historical development of statistical systems for monitoring the Swedish economy from the 17th century through the 1930s, with particular attention to business tendency surveys and labor statistics. He has conducted important research on the evolution of Swedish labor market policies from Keynesian approaches in the 1990s toward neoliberal frameworks, analyzing how job search intensity correlates with business community diversity and demonstrating that foreign-born unemployed individuals generally exhibit higher job search intensity than domestically-born counterparts. Dr. Hellroth's publication record reveals consistent scholarly engagement with Sweden's economic history, particularly examining the intersection between labor issues, economic policy development, and governmental institutions. His research spans institutional history, archival studies, and labor market analysis, with publications appearing in Historisk Tidskrift and other respected academic venues. Recipient of Jan Wallander and Tom Hedelius Research Foundation scholarship (Fh18-0028) in December 2018 Completed jubilee publication on Stockholm University's first professorship in economic history (1949) Working on manuscript about early statistical monitoring of the Swedish economy (scheduled 2025 publication) While providing essential IT support to the department, Dr. Hellroth maintains an active research agenda, currently inventorying Ph.D. Rolf G Henriksson's extensive archive and book collection covering Economic History and Economics from the late 1960s to early 1980s, with presentations at Economic Historical Meetings in Uppsala (2019) and Gothenburg (2021).
Erika Weiberg serves as Senior Lecturer in the Department of Archaeology, Ancient History and Cultural Preservation at Uppsala University, specializing in Ancient Culture and Social Life. Her research bridges archaeological, environmental, and climate science disciplines with a geographic focus on the Mediterranean region, particularly Greece. Her research interests center on human-environment dynamics in ancient societies, examining how Bronze Age communities in the Peloponnese responded to climate change through resilience theory frameworks. She investigates long-term socio-ecological systems using interdisciplinary approaches combining pollen analysis, GIS modeling, and archaeological survey data. Key themes include vulnerability assessment of ancient agricultural systems, boom-bust land use cycles, and the interplay between environmental stressors and societal transformation. Analysis of her 15 most recent publications reveals consistent focus on Mediterranean paleoenvironmental reconstruction (2016-2023), with increasing emphasis on computational modeling of climate-land use interactions since 2018. Her work demonstrates strong collaboration with climate scientists (Finné, Holmgren) and archaeologists (Bonnier, Unkel), producing significant contributions to understanding historical climate vulnerability through publications in Quaternary Science Reviews , PLOS ONE , and Journal of Archaeological Science . Weiberg actively contributes to methodological advances in archaeological science, particularly through GIS-based land use analysis and interdisciplinary data integration . Her 2019 work re-evaluating the Berbati-Limnes survey demonstrates innovative application of kernel density estimation to legacy archaeological datasets. She also participates in major collaborative projects examining Mediterranean socio-environmental history, evidenced by co-authorship on the comprehensive 2016 Quaternary Science Reviews paper on Peloponnesian Holocene history.
Gabriel Adrian is an Associate Professor and Specialist Physician at Lund University, affiliated with the Lund University Cancer Centre (LUCC). His research focuses on radiation therapy, oncology, and FLASH radiotherapy mechanisms. He contributes to UN Sustainable Development Goals related to cell/molecular biology and cancer research. Adrian's expertise spans irradiation effects, tumor response analysis, and clinical trial evaluations. He leads or collaborates on projects like 'Novel pre-clinical models for FLASH therapy' and 'MRI imaging biomarkers for radiotherapy.' His work often involves preclinical tumor models and clinical trial data analysis. Notable contributions include studies on adaptive radiotherapy for head and neck cancer, ultra-hypofractionated prostate treatments (HYPO-RT-PC trial), and FLASH irradiation's impact on tumor efficacy. His 2017 Young Scientist Award recognizes contributions to radiation biology. Grants/Projects: Mrs. Berta Kamprad's Cancer Foundation, Swedish Society of Medicine, and others fund his research. Advising: Supervisor/assistant supervisor for doctoral candidates like A.E. Persson (prostate ultra-hypofractionation studies). Labs/Teams: Collaborates with teams in LUCC, radiation physics, and oncology departments.
Mikko Laitinen is a Professor of English Linguistics at Linnaeus University, currently on leave of absence. He is a corpus linguist specializing in variation and change in English, particularly focusing on global English uses in Sweden. His research integrates historical linguistics, variationist sociolinguistics, and English as a lingua franca (ELF) paradigms. He leads projects like 'Global English uses in Sweden' and collaborates within the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). Key interests include digitizing historical texts, such as 19th-century pauper letters, and leveraging social media data for sociolinguistic analysis. Research groups: Data Intensive Digital Humanities (DISA), Linnaeus University Centre for Data Intensive Sciences and Applications. Completed projects: Seed project ODXVR x NTS (DISA-funded), focusing on external funding applications. Publications span corpus linguistics, sociolinguistics, and ELF, with a focus on social media discourse, language variation, and methodology. No explicit scientific awards mentioned. Advising and grants are central to his work, though specific students/grants are unspecified in the text. Labs/teams: Active in DISA and the Department of Languages, contributing to interdisciplinary data-intensive research.
Shafiqur Rahman Jabin is a Lecturer at Linnaeus University in Sweden, affiliated with the Department of Medicine and Optometry under the Faculty of Health and Life Sciences . His primary research focuses on healthcare quality and safety, health information technology (HIT), and medical imaging. He leads projects like eHealth Arena and investigates digital health twins and testbeds in older care settings. Education: Advanced degrees in Health Informatics (inferred from professional roles). His research analyzes health IT-related incidents using frameworks like the HIT Classification System and explores how complexity science principles can optimize healthcare testbeds. Teaching includes coordinating the Introduction to Health Informatics course. Publications span HIT safety, patient data challenges, and system configuration failures. He advocates for improved incident reporting systems and national frameworks for healthcare IT safety. Labs/Teams: eHealth Institute, Linnaeus University Centre for Data Intensive Sciences and Applications (DISA).
Paolo Bientinesi is a Professor at the Department of Computing Science, Umeå University, and Director of the High Performance Computing Center North (HPC2N). His research bridges theoretical and applied computer science, focusing on optimizing computational workflows through domain-specific innovations. Research Interests: Core Areas: Automatic generation of algorithms and code, numerical linear algebra, tensor operations, performance modeling, and computer music. Interdisciplinary Applications: Materials science, molecular dynamics, computational chemistry, computational biology, and computational physics. His work emphasizes leveraging architecture-specific and problem-specific knowledge to develop high-performance solutions. Publication Trends (2022-2026): Recent articles demonstrate a focus on mixed-precision computing, tensor decompositions, linear algebra algorithms (e.g., FLOPs optimization, matrix chains), and music information retrieval (e.g., automatic drum transcription, DJ cue points). Work frequently intersects with parallel computing, performance diagnostics, and machine learning. Leadership: Heads the research group High-Performance and Automatic Computing , driving projects in algorithm automation and computational efficiency.
Gabriele Messori is a Professor of Meteorology at Uppsala University's Department of Geosciences , focusing on the physical processes behind extreme weather events and their climatic impacts. His interdisciplinary research employs dynamical systems analysis , machine learning , and statistical methods to study phenomena like windstorms , heatwaves , and compound climate extremes in current and future climates. Education: Master's in Theoretical Physics from Imperial College London (2010), PhD in Atmospheric Physics from Imperial College London (2014) Prior Appointments: Postdoctoral fellow and researcher at Stockholm University, UK Met Office, and Laboratoire des Sciences du Climat et de l'Environnement (Paris) His research spans atmospheric dynamics , energy flow , and weather regime dimensions . Recent publications analyze compound droughts/floods , atmospheric rivers , and stratospheric wave reflections , emphasizing climate change attribution and predictability of extremes . He leads the ERC Starting Grant CENÆ project (2021–2026) on North Atlantic compound extremes and co-leads a Vetenskapsrådet project (2022–2025) to build a European climate impacts database. His work bridges climate science , disaster risk reduction , and societal adaptation strategies .
