جست‌وجوی استاد و پژوهشگر

Moa Tunströmمشاهده پروفایل

مدرس ارشد

• Urban Planning
• Social Sustainability
• Urban Segregation
• +۳ مورد دیگر

Moa Tunström is a Senior Lecturer in Human Geography at Karlstad University. Her work focuses on urban planning, social sustainability, and policy analysis with an emphasis on Nordic urban contexts. She has contributed to understanding segregation, affordable housing challenges, and evolving urban ideals through interdisciplinary research. Her research interests include the interplay between urban policy and societal outcomes, with particular attention to equity, spatial justice, and participatory governance. Notable themes in her work are the transformation of urban ideals over time, barriers to social inclusion, and the role of dialogue in planning processes. Tunström's publications analyze Nordic urban issues, such as housing affordability, segregation patterns, and the repackaging of welfare state models into urban policies. She critiques postpolitical discourse in Swedish urban planning and explores how planning education shapes future professionals' identities. Her work often integrates historical perspectives with contemporary challenges, offering frameworks for evaluating policy efficacy and fostering socially sustainable cities. She collaborates with researchers across disciplines and Nordic countries, contributing to policy-oriented research initiatives.

Jenny Balkowمشاهده پروفایل

مدرس ارشد

• Textile Management
• Fashion Management
• Marketing
• +۶ مورد دیگر

Jenny Balkow is a Senior Lecturer at the University of Borås, Faculty of Textiles, Engineering and Business, Department of Business Administration and Textile Management. She joined the university in 2009 and serves as Program Manager for the Master's Programs in Textile Management and Fashion Management and Marketing. Her roles include Deputy Head of Department for Internationalization, Education Manager for Master/Magister Fashion Management, and TXT Director for the Nordic European Culture Center, Shanghai, China. Research Focus: Textile and fashion management, consumer behavior in digital and physical retail, supply chain dynamics, and international business strategies. Key Contributions: Explored mobile shopping's impact on domestic retailscapes, impulse buying behavior, data-driven customer understanding, and sourcing from China. Publications: Co-author of peer-reviewed conference papers and articles in journals like Journal of Praxis in Higher Education , with a focus on retail practices, digitalization, and cross-cultural consumer trends. Labs/Teams: Collaborates with the Nordic European Culture Center and contributes to the university's Textile Management research initiatives.

• Mathematical Analysis
• Partial Differential Equations
• Homogenization Theory
• +۵ مورد دیگر

Liselott Flodén is an Associate Professor at the Department of Engineering, Mathematics and Science Education (IMD) at Mid Sweden University, specializing in mathematical analysis and homogenization theory for partial differential equations. Academic Rank: Associate Professor Department: Department of Engineering, Mathematics and Science Education (IMD) Contact: liselott.floden@miun.se | Room Q207, Östersund Her research focuses on homogenization of multiscale parabolic and hyperbolic-parabolic problems, asymptotic analysis, and effective property determination for heterogeneous media. She has applied these techniques to fields like heat transfer in alpine racing skis and non-periodic temporal oscillations. Recent publications highlight her work on reiterated homogenization, two-scale convergence, and nonlinear monotone operators across diverse applications in applied mathematics and materials science.

• Personality Psychology
• Gender Studies
• Social Psychology
• +۷ مورد دیگر

Professor Ingrid Zakrisson is affiliated with the Department of Psychology and Social Work at Mid Sweden University, specializing in interdisciplinary research at the intersection of personality psychology, gender studies, and cultural analysis. Her work spans organizational behavior, political psychology, and tourism research. Research Focus Personality Assessment : Development of the Swedish BFI-2 version and cross-cultural validity of psychological scales Gender Dynamics : Ambivalent sexism in organizations, occupational gender stereotypes, and parenthood negotiations Mobile Methodologies : GPS tracking of tourist experiences and real-time value co-creation in theme parks Political Psychology : Social Dominance Orientation (SDO), Right-Wing Authoritarianism (RWA) Publications Overview With 15 recent publications (2004-2025), her work demonstrates consistent contributions to: Psychological scale adaptation Gendered workplace dynamics Language and cultural context effects Innovative mobile research methods Political attitude formation Sustainable work hour models Contact Email: ingrid.zakrisson@miun.se Campus Östersund, Kunskapens väg 1

• System Identification
• Control Theory
• Bayesian Estimation
• +۵ مورد دیگر

Yue Ju is a Postdoctoral Fellow at the Royal Institute of Technology (KTH) in Stockholm, Sweden, specializing in system identification, control theory, and statistical learning methods. Their research focuses on regularization techniques, Bayesian approaches, and their applications in control systems engineering. Dr. Ju's research interests span theoretical aspects of system identification and control theory with a strong emphasis on regularization methods and statistical learning. Their work bridges the gap between theoretical analysis and practical implementation, particularly in addressing challenges related to hyper-parameter estimation, convergence properties, and efficient computational methods for complex control problems. Recent research has expanded into dynamic programming for exploration, neural network approaches for nonlinear system modeling, and spatial-temporal data analysis. The publication history demonstrates a consistent focus on regularization methods for system identification, with particular expertise in empirical Bayes approaches, hyper-parameter estimation, and convergence analysis across multiple theoretical frameworks. Their work shows strong mathematical foundations applied to practical engineering problems, particularly in control systems where statistical learning methods can enhance traditional approaches. Dr. Ju's research has significant implications for both theoretical understanding and practical implementation of control systems, with applications spanning various engineering domains where precise system modeling and control are critical.

Behnaz Pirzamanbeinمشاهده پروفایل

مدرس ارشد

• Spatial-Temporal Modeling
• Bayesian Statistics
• Computational Statistics
• +۶ مورد دیگر

Behnaz Pirzamanbein is a Senior Lecturer in the Department of Statistics at Lund University, Sweden, serving as Project Manager for MERGE: ModElling the Regional and Global Earth system and Principal Investigator for eSSENCE: The e-Science Collaboration. She teaches Bayesian Methods (STAE02) using RStan and Data Visualization courses (STAE04/DABN19) for students and industry professionals, integrating theoretical statistics with practical applications. Her research specializes in spatial-temporal modeling, Bayesian statistics, and computational methods applied to environmental and medical challenges. She develops advanced techniques for synchrotron image analysis, AI-driven environmental reconstruction, and liver disease diagnostics, bridging statistics with climate science, paleoecology, and computational medicine. Recent work focuses on Baltic Sea paleoenvironments, Holocene land cover dynamics, and 3D microstructural analysis of fibrotic liver tissue. Analysis of her recent publications reveals strong interdisciplinary trends: environmental reconstruction using pollen and ancient DNA data (40%), medical imaging/AI applications (30%), and climate-statistics integration (30%). Key methodologies include Bayesian hierarchical modeling, deep learning for 3D tomography, and high-resolution spatiotemporal analysis. Her scientific recognition includes: Outstanding Bayesian Research Applied to Climate Science award (ASA Section on Bayesian Statistical Science, 2016) Honorary Mention in Statistics and the Environment (ASA Section on Statistics and the Environment, 2016) Dr. Pirzamanbein actively supervises master's and PhD students while leading major projects including POLLENOMICS (decoding European farming history through ancient DNA/pollen integration) and Digital Transformation of Flood Prediction in Trelleborg. Her collaborations span 12 research projects with international institutions, supported by FORMAS and Swedish research councils, focusing on climate modeling, environmental archives, and AI-driven medical diagnostics.

Maria Blasi Romeroمشاهده پروفایل

پژوهشگر

• Landscape Ecology
• Biodiversity
• Pollinators
• +۷ مورد دیگر

Maria Blasi Romero is a researcher at the Centre for Environmental and Climate Science (CEC), Lund University, specializing in landscape ecology, biodiversity, and pollinator conservation. She contributes to the BECC: Biodiversity and Ecosystem services in a Changing Climate network, with a focus on climate change, land use, and ecosystem services. PhD in Environmental Sciences (2021), MSc in Conservation Biology (Lund University), BSc in Biology (University of Barcelona). Research Interests: Her work bridges climate change impacts, pollinator dynamics, and farmland conservation using remote sensing and ecological modeling. Key areas include: Bumblebee phenology shifts Climate-driven pollinator density models Land-use intensity in biodiversity conservation Ecosystem service assessments Recent Publications: Four studies (2021-2023) examine wild bee responses to climate extremes, pesticide effects on pollination, and modeling land-use-climate interactions in agricultural landscapes. Collaborations: Works with institutions like the Swedish University of Agricultural Sciences (SLU), the International Union for Nature Conservation (IUCN), and networks such as Young Ecosystem Services Specialists (YESS) and Global Youth Biodiversity Network (GYBN).

Agnes Karlsonمشاهده پروفایل

دانشیار

• Food web and ecosystem ecology
• Ecotoxicology
• Stress ecology
• +۶ مورد دیگر

Agnes Karlson is an Associate Professor at the Department of Ecology, Environment and Plant Sciences, Stockholm University, specializing in marine and coastal ecosystem dynamics. She leads the Marine Ecology Laboratory Phytal (MEL-Fytal) group, focusing on the phytal zone's algae and associated fauna, particularly in hard-bottom bladder wrack systems. Key Research Areas: Food web ecology, ecotoxicology, stress ecology, environmental monitoring, and stable isotope techniques. Projects: Investigating cyanobacterial bloom impacts on fish toxicity, FORCE (Facilitating Ocean Recovery in a Changing climate), and historical fishery effects on herring populations. Students: Supervises PhD student John Martin Taylor and collaborates with researchers Francesco Masnadi and technician Jesper Ström. Scientific Focus: Combines fieldwork, experimental approaches, and modeling to assess contaminant pathways, nutrient cycling, and ecosystem resilience in the Baltic Sea region.

Peter Eklövمشاهده پروفایل

استاد

• Freshwater Ecology
• Aquatic Food Webs
• Predator-Prey Interactions
• +۴ مورد دیگر

Professor Peter Eklöv at Uppsala University's Department of Ecology and Genetics (Limnology) is a leading researcher in freshwater ecology, focusing on predator-prey interactions, trophic polymorphism, and ecosystem responses to environmental changes. His work spans aquatic food webs, phenotypic plasticity, and climate impacts on lake systems. Key research themes include: Effects of dissolved organic carbon on habitat coupling Phenotypic and metabolic trade-offs in freshwater predators Disturbance impacts on lake food web stability Role of invasive species in ecosystem dynamics Recent publications examine snow/ice cover effects on phytoplankton (2025), fatty acid regulation in aquatic consumers (2020), and DOC-induced thresholds in benthic communities (2024). Collaborations involve Silke Langenheder, Gesa Weyhenmeyer, and colleagues across Sweden and Europe.

• Marine Ecology
• Evolutionary Biology
• Genetics
• +۳ مورد دیگر

Kerstin Johannesson is a Professor in Marine Ecology at the University of Gothenburg's Department of Marine Sciences, and Director of the Tjärnö Marine Laboratory. Her research focuses on evolutionary mechanisms in marine organisms, particularly Littorina snails and Fucus seaweeds, exploring adaptation over environmental gradients and speciation under divergent selection. University of Gothenburg, Department of Marine Sciences Director, Tjärnö Marine Laboratory She leads genomic studies on hybrid zones and chromosomal inversions, with major projects like CeMEB (Marine Evolutionary Biology) and BaltGene. Her work combines field experiments, genome analysis, and conservation genetics, including the discovery of Fucus radicans as a Baltic Sea endemic species. Recent publications (2025–2022) analyze structural variants, hybridization, and genetic monitoring in marine ecosystems. Collaborators include Roger Butlin, Anja Westram, and Rui Faria.

• Visualization
• Data Science
• Human-Computer Interaction
• +۴ مورد دیگر

Miriah Meyer is a Professor in the Department of Science and Technology (ITN) at Linköping University, supported by the Wallenberg Autonomous Systems Program (WASP). Her research focuses on designing visualization tools to enhance data analysis and understanding through interdisciplinary approaches integrating computer science, design, social science, and humanities. Previously, she held positions as an Associate Professor at the University of Utah’s School of Computing and completed a postdoctoral fellowship at Harvard University. Education: Bachelor’s in Astronomy and Astrophysics, Penn State University PhD in Computer Science, University of Utah Postdoctoral Fellowship in Visualization, Harvard University Research Interests: Meyer’s work emphasizes human-centered design of visualization systems to address societal challenges. Key areas include: Exploratory and reflective data analysis Interdisciplinary methodologies Design studies in visualization Impact of technology on societal perceptions Publications: Her recent work explores feminist theory in visualization (2025), preregistration in research design (2024), and socio-technical transitions in dashboarding (2024). She advocates for rigorous, ethical practices in visualization design. Awards: Recognitions include TED Fellow (2013), MIT TR35 (2012), and Microsoft Research Faculty Fellowship (2011). Labs & Teams: Active in the Visualization and Interaction Design Group at LiU and former contributions to the Scientific Computing & Imaging Institute (SCI) at the University of Utah.

Fredrik Lindstenمشاهده پروفایل

دانشیار

• Machine Learning
• Statistical Machine Learning
• Approximate Bayesian Inference
• +۷ مورد دیگر

Fredrik Lindsten is a Senior Associate Professor in Machine Learning and Head of the Division of Statistics and Machine Learning at Linköping University's Department of Computer and Information Science (IDA). His research focuses on statistical machine learning, emphasizing probabilistic modeling and uncertainty quantification in methods such as approximate Bayesian inference, representation learning, and graph-based approaches. Applications span weather forecasting, materials science, biochemistry, and automotive industry challenges. Education: MSc (2008), PhD (2013) in Automatic Control from Linköping University; Postdoctoral roles at University of Cambridge, UC Berkeley, and University of Oxford. Affiliations: WASP (Wallenberg AI, Autonomous Systems and Software Program), ELLIIT (Lab for Information and Communication Technology). Research Interests: Lindsten’s work bridges statistical methodology and machine learning, particularly in quantifying uncertainty in predictions. His team explores method development across diverse applications, including spatio-temporal models and graph-based techniques. Recent projects include probabilistic weather forecasting with graph neural networks and cryo-EM reconstruction techniques. Publications: Over 25+ peer-reviewed articles, with recent highlights in Nature Methods , NeurIPS , and Physical Review Materials , focusing on Bayesian methods, generative models, and computational statistics. Awards: Ingvar Carlsson Award (Swedish Foundation for Strategic Research), Benzelius Award (Royal Society of Sciences in Uppsala). Grants & Teams: Supervises 7+ PhD students; active in collaborative projects funded by WASP, ELLIIT, and VR (Swedish Research Council). Labs/Teams: Leads the Division of Statistics and Machine Learning (STIMA) at IDA, fostering interdisciplinary research in probabilistic machine learning.

Václava Hazukováمشاهده پروفایل

پژوهشگر ارشد

• Arctic Ecology
• Biogeochemistry
• Climate Change Impacts
• +۳ مورد دیگر

Václava Hazuková is a Research Fellow at the Department of Ecology and Environmental Science, Umeå University. Her research focuses on Arctic lake ecosystems, particularly investigating carbon cycling dynamics under changing climatic conditions. She holds a Kempe Postdoctoral Fellowship, collaborating with Jan Karlsson, Jean-François Boily, and Martin Rosvall on sedimentary carbon burial in Arctic lakes. Her work integrates biogeochemistry, physics, and ecology to address cross-seasonal climate impacts, including altered precipitation regimes and ice-cover processes. Research interests emphasize Arctic lake responses to climate extremes, seasonality shifts, and cryospheric changes. She employs interdisciplinary approaches to study physical-biological linkages in high-latitude freshwater systems. Notable projects include analyses of Greenland lakes' vulnerability to atmospheric rivers and multi-scale climate drivers. Her publications highlight trends in Arctic lake dynamics, from phytoplankton responses to ice phenology shifts, to diatom-based water quality indices. Key contributions include conceptual frameworks like the 'lake ice continuum' and validation of sentinel ecosystems for climate monitoring. Current affiliations include membership in the Biogeochemistry research group. Her Kempe Fellowship supports innovative collaborations bridging ecology, chemistry, and physics to advance understanding of carbon sequestration in Arctic regions.

Xiang Linمشاهده پروفایل

مدرس ارشد

• Macroeconomics
• Tourism Economics
• Entrepreneurship
• +۳ مورد دیگر

Xiang Lin is a Senior Lecturer in Economics and Associate Professor at the Department of Social Sciences, Stockholm University. He serves as a Subject Coordinator and teaches financial economics and econometrics. His research focuses on macroeconomic policy, tourism economics, and entrepreneurship, with particular attention to monetary policy dynamics, pandemic impacts, and regional tourism resilience. Key research interests include the credibility of dual-mandate monetary policies (e.g., US Federal Reserve), transmission mechanisms in the Eurozone, and the interplay between land characteristics and tourism demand. He explores long-term economic phenomena such as bankruptcy fraud in Sweden's small business sector and the role of property rights in entrepreneurship. Recent publications analyze pandemic-driven shifts in tourism demand, stock market responses to crises, and spatial factors influencing recreational activities. His work bridges theoretical frameworks with empirical evidence, emphasizing policy relevance and cross-regional comparisons. No current grants or lab affiliations are mentioned. His advising and grant history remain unspecified in the provided texts.

Vicenç Torraمشاهده پروفایل

استاد

• Data Privacy
• Approximate Reasoning
• Decision Making
• +۷ مورد دیگر

Vicenç Torra is a Professor at the Department of Computing Science, Umeå University, Sweden. He leads the NAUSICA: PrivAcy-AWare traNSparent deCIsions research group, focusing on artificial intelligence, data privacy, and approximate reasoning. His work bridges computer science and applied mathematics. Research Interests: Data Privacy (differential privacy, k-anonymity, secure multiparty computation) Approximate Reasoning (fuzzy sets, non-additive measures, Choquet integrals) Decision Making and Aggregation Operators Information Fusion and Clustering Recent Article Trends: His publications emphasize data privacy in machine learning, non-additive measure theory applications, and integrating privacy guarantees with mathematical rigor. 2024 works focus on Frechet manifold privacy and LLM knowledge distillation. Scientific Awards: EurAI Fellow (2010) ISI Elected Member (2013) IEEE Fellow (2017) Additional Contributions: Founder of Transactions on Data Privacy and MDAI conference series. Active in editorial boards of Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems, and Information Sciences. Collaborates extensively with institutions in Japan and Spain.