جستجوی استاد راهنمای دانشگاهی

Astrid von Rosenمشاهده پروفایل

استاد

• Scenography Studies
• Performing Arts
• Art History
• +۳ مورد دیگر

Astrid von Rosen is a Professor of Art History and Visual Studies at the Department of Cultural Sciences, University of Gothenburg. She also serves as director of the cross-faculty Centre for Critical Heritage Studies. Her research focuses on scenography studies, cross-disciplinary performing arts, and critical archival practices. Notable projects include the Swedish Research Council-funded Expansion and Diversity project mapping independent performing arts in Gothenburg (1965-2000), and collaborative work on digital archives challenging canonical narratives. Her expertise spans scenography's evolution from marginal practice to theoretical framework, affective dimensions of performance spaces, and ethical care in archival practices. She co-edited Scenography and Art History: Performance Design and Visual Culture (2023) and has published widely on topics like black dance history in Sweden, radical empathy in archival research, and digital caregiving in the performing arts. Active in both academia and public scholarship, von Rosen contributes to podcasts, blogs, and interdisciplinary conferences. She advises on cultural heritage projects and collaborates internationally on digital humanities initiatives. Her work bridges theoretical inquiry with practical interventions in museum and theater archives.

Michael Minockمشاهده پروفایل

دانشیار

• Natural Language Interfaces
• Knowledge Representation
• Databases
• +۴ مورد دیگر

Michael Minock is an Associate Professor in Computing Science at Umeå University. His research focuses on the intersection of AI and relational databases, particularly in natural language interfaces, semantic tractability, and knowledge representation. He has led significant projects such as the VR grant (2015-04953) and EU STREP SpaceBook (2011–2014). Minock also co-founded C-Phrase Technologies AB and teaches courses on databases and large language models. B.S. in Computer Science (Honors), University of Michigan Ph.D. in Computer Science, UCLA His research explores the logical foundations of database query languages, emphasizing higher-order logic in natural language interfaces. Recent work integrates LLMs into database management systems. Key publication trends include query containment analysis, cooperative question answering, and context-aware navigation systems. Subfields span natural language processing, spatial databases, and semantic reasoning. Scientific Awards: Pell Grants Michigan Competitive Scholarship DARPA AASERT Award Minock's teaching includes courses on database management and LLM applications in IT. He actively contributes to open-access publications and maintains a strong interdisciplinary focus across AI, logic, and real-world database challenges.

• Digital Representation
• Metadata
• Cultural Heritage
• +۵ مورد دیگر

Lais Barbudo Carrasco is a Senior Lecturer in Archival and Information Science at Mid Sweden University's Department of Communication, Quality Technology and Information Systems (KKI). Her academic credentials include a 2019 PhD in Information Science and a 2024 Master's by Research in Media and Communication Science from MIUN. Bachelor's in Library and Information Science Master's in European Digital Media and Cultural Heritage Studies Her research focuses on digital representation , metadata , and cultural heritage with active participation in international initiatives like: Europeana Data Model (EDM) CIDOC CRM Interest Group International Council on Archives (ICA) RiC Model Current projects emphasize Indigenous data governance , exploring: CARE Principles (Collective Benefit, Authority to Control, Responsibility, Ethics) Local Contexts Labels for culturally appropriate data management Participatory approaches to Indigenous knowledge systems Parallel research examines AI ethics and algorithmic bias , addressing: Power dynamics in digital systems Justice-driven technological frameworks Human-centered information governance She applies social constructionist and DEI (Diversity, Equity, Inclusion) perspectives in: Strategic communication for cultural organizations Transformative meaning-making practices Digital preservation ethics

• Statistics
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Erik Kristiansson is a Professor in the Department of Applied Mathematics and Statistics at Chalmers University of Technology's School of Engineering Sciences. His academic work bridges computational methods with biological applications, focusing on the analysis of complex biological datasets using advanced statistical and machine learning approaches. Professor Kristiansson's research centers on applying statistical methods, machine learning, and artificial intelligence to analyze complex datasets from molecular biology and medicine. His primary applications focus on infectious diseases, antibiotic resistance mechanisms, and environmental science challenges. His work demonstrates a strong interdisciplinary approach, connecting mathematical modeling with real-world biological problems, particularly in understanding the spread and evolution of antibiotic resistance through environmental pathways and clinical settings. His publication record shows a consistent focus on antibiotic resistance gene identification, environmental contamination with pharmaceuticals, and the development of computational methods for biological data analysis. Recent work demonstrates increasing application of advanced machine learning techniques, including transformer models, to predict chemical toxicity and antibiotic resistance patterns. His research often involves large-scale genomic and metagenomic data analysis to track resistance gene dissemination across different environments. Professor Kristiansson actively collaborates across disciplines, working with environmental scientists, microbiologists, and medical researchers to address complex problems at the intersection of computational science and biological systems. His work on optical DNA mapping for bacterial typing represents an innovative approach to pathogen identification directly from clinical samples.

Diego Calvaneseمشاهده پروفایل

استاد مهمان

• Artificial Intelligence for Data Management
• Knowledge Representation and Reasoning
• Virtual Knowledge Graphs
• +۵ مورد دیگر

Diego Calvanese is a Visiting Professor at Umeå University's Department of Computing Science and holds a full professorship at the Free University of Bozen-Bolzano, Italy. His research focuses on AI for data management, including virtual knowledge graphs (VKG), ontology-based data access (OBDA), and formal methods like description logics. He is part-time at Umeå, balancing roles with his primary position in Italy. Calvanese has received prestigious awards including the AAAI Classic Paper Award (2021), EurAI Fellow (2015), and ACM Fellow (2019). He supervises three doctoral students at Umeå and has authored over 350 publications, with an h-index of 71. His work emphasizes data integration, geospatial systems, and ethical AI applications. Key Roles: Associate Programme Chair (IJCAI 2025), Programme Chair (IJCAI-ECAI 2026), Head of AI for Data Management Research Group Research Interests: Knowledge representation, graph data management, explainable AI, and telemonitoring systems like reCOVeryaID. His research group develops tools like Ontop, a VKG system enabling seamless data access across heterogeneous sources. Current projects include geospatial data integration and temporal OBDA frameworks. Calvanese has served on over 150 program committees and editorial boards, including Artificial Intelligence and JAIR. His work bridges technical advancements with societal impacts, addressing AI's role in healthcare, climate, and democracy.

Georgios J. Fakasمشاهده پروفایل

دانشیار

• Big Data
• Keyword Search
• Spatial Databases
• +۹ مورد دیگر

Georgios J. Fakas is an Associate Professor (Docent) in the Department of Information Technology at Uppsala University, Sweden, where he leads the Uppsala DataBase Laboratory (UDBL). He has held academic positions at prestigious institutions including the Hong Kong University of Science and Technology, EPFL, UMIST, University of Cyprus, and Manchester Metropolitan University, where he served as a Senior Lecturer. Education: Ph.D. in Computation, UMIST, Manchester, UK (1998) M.Phil. in Computation, UMIST, Manchester, UK (1996) B.Sc. in Computation, UMIST, Manchester, UK (1995) His research spans big data, keyword search on structured and graph data, spatial databases, web and geo-social search, workflow management, and data summarization . He also explores applications in educational technologies, distance learning, and health informatics. His work emphasizes efficient, user-centric data access and intelligent querying paradigms. The 15 most recent publications highlight a sustained focus on keyword search, object summarization, spatial and semantic data, and ranking , published in top venues like SIGMOD, VLDBJ, IEEE TKDE, and PVLDB. His work integrates algorithmic innovation with practical database applications. Scientific Awards: International Sabbaticals grant from Teknat (2023), hosted by Boston University Fellowship 'Hosting of Experienced Researchers from Abroad' from RPF, Cyprus (2009) ERCIM Fellowship (2001), hosted by EPFL, Switzerland He is actively involved in PhD supervision and grant leadership. He currently serves as Principal Investigator for an eSSENCE-funded project on Data-intensive analytics for discovering critical minerals using Machine Learning , in collaboration with industry partners. He has supervised multiple PhD students to completion, including Georgios Kalamatianos, Khalid Mahmood, Zhi Cai, and Ben Cawley. He is a frequent reviewer for leading journals and serves on program committees of major conferences such as ACM SIGMOD and PVLDB. He leads the Uppsala DataBase Laboratory (UDBL) , a research group focused on advanced data management systems, where he mentors students and drives innovation in database technologies.

Anna-Maria Fjellmanمشاهده پروفایل

مدرس ارشد

• School choice
• School markets
• Educational segregation
• +۷ مورد دیگر

Anna-Maria Fjellman is a Senior Lecturer at the Department of Education and Special Education at the University of Gothenburg. Her research primarily focuses on school choice, school markets, segregation, marketization, educational privatization, and the consequences for equity in the Swedish educational system, with particular interest in the meaning of place for education. She works extensively with register data from the Gothenburg Longitudinal Database (GOLD). Her research interests span multiple interconnected areas including school choice systems, marketization of education, educational segregation patterns, rural education challenges, spatial analyses of educational systems, and the consequences of educational privatization. She employs quantitative methods and spatial analysis to examine how educational opportunities are distributed across different regions and demographic groups in Sweden. Her recent publications demonstrate a strong focus on analyzing trends in school segregation, particularly in urban school markets, with several 2023-2024 publications examining these patterns over time. Her work also extends into the field of countering violent extremism, exploring spatial patterns and institutional collaboration across Nordic societies. The research shows consistent engagement with critical questions about educational equity and the impact of market-oriented reforms on educational systems. She is actively involved in significant research projects including: School segregation in Sweden: Challenges, opportunities and interventions (SSIS), led by Kajsa Yang Hansen School, learning and mental health: determinants, consequences and prevention of school failure, led by Jan-Eric Gustafsson Previously, she has contributed to important projects such as FLECSLAB (Lifelong Learning Business Model), research on school and residential markets, studies on choice of upper secondary education among immigrant families, and Nordic Multiagency Approaches to Handling Extremism. Fjellman is affiliated with multiple research environments including FUR (Prerequisites, Education, and Outcomes), KRIT, and the Housing, Education and Segregation (BUS) research group, demonstrating her commitment to interdisciplinary collaboration and comprehensive educational research.

Martin Gullströmمشاهده پروفایل

استاد

• Seascape Ecology
• Coastal Blue Carbon
• Marine Conservation
• +۴ مورد دیگر

Professor Martin Gullström is a prominent marine ecologist at Södertörn University, Sweden, specializing in seascape ecology, coastal blue carbon dynamics, and tropical marine conservation. He leads major research initiatives such as the CLIM-SCAPE project (2022-2027), investigating Baltic coastal carbon sequestration, and contributes to international collaborations like the Sida-funded Bilateral Marine Science Programs between Sweden and Tanzania/Mozambique. Current roles: Principal Investigator (PI) of multiple EU-funded projects Key expertise: Seagrass ecology, fisheries science, and global change impacts Geographic focus: Western Indian Ocean (Tanzania, Mozambique) and Baltic/Nordic coastal systems Research focuses on linking ecological processes to management solutions, with emphasis on blue carbon storage, climate mitigation, and capacity-building in developing countries. Over 20 years of experience in transdisciplinary projects addressing conservation challenges in data-poor regions. Current major grants include: FORMAS-funded CLIM-COAST (2022-2025) Swedish Environmental Protection Agency-funded studies on cumulative climate impacts (2020-2024) EURO-CARBON database development for European marine habitats Active in mentoring early-career researchers through bilateral programs and supervising collaborative projects across 10+ institutions. His work integrates ecological, social, and policy dimensions to achieve sustainable ocean governance.

Birgit Wildمشاهده پروفایل

استادیار

• Arctic Climate Change
• Permafrost Studies
• Carbon Cycling
• +۵ مورد دیگر

Birgit Wild serves as an Assistant Professor in the Department of Environmental Science at Stockholm University. Her research focuses on Arctic climate change impacts on biogeochemical cycles, with particular emphasis on carbon and nitrogen dynamics in permafrost regions. She maintains her office in Room R 511 at Svante Arrheniusväg 8 C, Geohuset, Stockholm. Dr. Wild's primary research interests center on how climate warming affects carbon and nitrogen cycling in Arctic ecosystems. Her work investigates the mechanisms by which thawing permafrost releases greenhouse gases, with specific attention to plant-soil interactions ("priming effect"), carbon-nitrogen feedbacks on plant productivity, greenhouse gas release from subsea permafrost, nitrogen cycling and N2O production in Arctic Ocean shelves, and the transfer of permafrost-derived carbon along the land-river-ocean continuum. Her research integrates field studies across Siberian and Arctic regions with laboratory experiments and large-scale data synthesis. Her publication record demonstrates a strong focus on understanding permafrost carbon dynamics under climate change. The most recent articles reveal significant contributions to understanding the resistance of peat soils to priming effects, temperature controls on lignin decomposition, nitrous oxide dynamics in Arctic waters, and molecular-level degradation of organic matter in Arctic shelf seas. Her work shows consistent attention to both terrestrial and marine components of the Arctic carbon cycle, with particular emphasis on how past warming events can inform our understanding of future climate-carbon feedbacks. Dr. Wild leads and participates in multiple significant research projects including the Circum-Arctic Sediment Carbon Database (CASCADE), which curates data from the entire Arctic Ocean on organic carbon and related parameters; studies on ocean acidification in Siberian Seas; research on mercury remobilization from degrading permafrost; and projects examining plant-soil interactions in permafrost systems (NITROPRIME and PRIMETIME). She also works on quantifying methane emissions from subsea permafrost systems (SuPerTip project). Her research methodology combines field sampling across Arctic regions, laboratory incubation experiments, molecular biomarker analysis, and isotope-based source apportionment techniques. This multi-faceted approach allows her to address complex questions about carbon and nutrient cycling across spatial and temporal scales in the rapidly changing Arctic environment.

• Paleoclimatology
• Climate Modeling
• Statistical Climatology
• +۲ مورد دیگر

Anders Moberg is a Senior Lecturer at the Department of Physical Geography, Stockholm University, and a docent in climate science. His research focuses on paleoclimatology, particularly analyzing climate variability over the past 2000 years using instrumental records, proxy data (tree rings, ice cores, stalagmites), and climate model simulations. Key affiliations include the Bolin Centre for Climate Research and the Swedish National Data Service (SND). He specializes in statistical methods for climate model-proxy integration, volcanic/solar forcing impacts, and historical data digitization (e.g., 1816 'year without a summer' dataset). His work addresses challenges in reconstructing low-frequency climate variability and improving dendroclimatological techniques for Fennoscandian regions. As an educator, he has taught courses in Climate and Society and Statistical Methods in Geosciences . His research directly informs climate database coordination efforts and contributes to international initiatives like the Paleoclimate Model Intercomparison Project (PMIP4/CMIP6). While the scraped data does not explicitly list scientific awards or advisees, his publications demonstrate leadership in evaluating climate model performance against proxy reconstructions, particularly for the Northern Hemisphere.

Johan Olofssonمشاهده پروفایل

استاد

• Arctic Ecosystems
• Climate Change Ecology
• Herbivore-Plant Interactions
• +۴ مورد دیگر

Johan Olofsson is a Professor at the Department of Ecology and Environmental Science, Umeå University. His research focuses on Arctic ecosystems, particularly the interactions between climate, vegetation, and herbivores like lemmings and reindeer. He leads the 'Terrestrial ecology' research group and has conducted fieldwork in Abisko, northern Sweden for nearly three decades. Key methodologies include herbivore exclusion enclosures, drone-based vegetation mapping, and camera trap monitoring. Research interests include winter ecosystem dynamics, climate change impacts, and herbivore effects on tundra biodiversity. Current projects examine circumpolar herbivore influences, mechanisms of ecosystem function alteration, and spatial/temporal scaling of herbivore effects. Notable methods involve UAVs for vegetation analysis and deep learning for ecological impact assessments. Recent publications highlight earthworm invasions' carbon impacts, UAV applications in ant mound mapping, and reindeer grazing's role in mitigating climate-driven vegetation shifts. His work bridges field observations with large-scale synthesis datasets to address Arctic environmental challenges. Grants and collaborations support circumpolar studies and permafrost research. He heads the 'Do reindeer protect arctic diversity in a changing climate' project (2023-2025). His lab focuses on advancing understanding of Arctic ecosystem resilience through interdisciplinary approaches.

Can Liuمشاهده پروفایل

پژوهشگر ارشد

• Social Epidemiology
• Maternal and Child Health
• Health Inequalities
• +۳ مورد دیگر

Can Liu is a Research Fellow at the Department of Public Health Sciences, Stockholm University. Their work focuses on perinatal social epidemiology, leveraging transdisciplinary skills in statistical methods and epidemiological designs to address health inequalities. Liu holds a PhD from Karolinska Institutet (2017) and completed postdoctoral training at Stanford University (2019-2021) and Karolinska Institutet (2017-2019). They lead the FORTE-funded ORCHID project (2024-2026), examining how parental disability impacts children's outcomes. Active projects include studying pandemic mental health consequences, intergenerational health inequities, and health disparities in cancer screening among disabled populations. Research interests emphasize maternal and child health in disadvantaged populations, policy interventions to reduce inequities, and systems-level factors driving health disparities. Collaborations include the Reproductive, Perinatal, and Pediatric Epidemiology group at Karolinska Institutet's Clinical Epidemiology Division. Current projects explore bereavement impacts, child welfare service drivers, and political responses to health inequities during the pandemic. Publications span environmental epidemiology, with recent work on Arctic carbon cycles and permafrost dynamics, reflecting interdisciplinary engagement. Awards and grants include FORTE funding for the ORCHID initiative.

Johan Boyeمشاهده پروفایل

دانشیار

• Natural Language Processing
• Spoken Dialogue Systems
• Multimodal Dialogue Systems
• +۶ مورد دیگر

Johan Boye is an Associate Professor at the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, part of the Speech, Music, and Hearing department. He leads the SWE-QUEST project, developing automated question generation for Swedish language education, funded by Vinnova and Digital Futures. His research focuses on dialogue systems, natural language processing, and spatial language understanding, with applications in education, robotics, and human-computer interaction. Education background includes a docent title (Swedish associate professor) and extensive academic experience. He has supervised over 20 master’s and PhD theses in NLP and AI, with recent topics including large language models, coreference resolution, and multimodal retrieval systems. Teaching responsibilities include courses on language technology, search engines, and speech processing. His work spans cross-disciplinary collaborations with Stockholm University and RISE Research Institutes in the Digital Futures initiative, addressing societal challenges through digital innovation. Key projects include the SpaceBook EU project (2010–2014) exploring pedestrian navigation via dialogue systems and the NICE game (2005) for child-computer interaction. Research outputs include over 50 peer-reviewed publications in journals like the Journal of Natural Language Engineering and conferences such as ACL and SIGDIAL. He maintains active roles in academic service, including editorial work and program committees for NLP conferences. His lab develops tools like Textinator for NLP evaluation and UDon2 for dependency tree manipulation, emphasizing open-source contributions to the research community.

• Glaciology
• Geochemistry
• Physical Geography
• +۹ مورد دیگر

Christian Zdanowicz is a Senior Lecturer in Physical Geography at the Department of Geosciences, Uppsala University, Sweden. He holds the academic rank of Associate Professor and is based in the Air, Water and Landscape Studies division, focusing on glaciology, geochemistry, and environmental change in high-latitude regions. His research centers on the impacts of climate variability and atmospheric pollution on the cryosphere, particularly in the Arctic and subarctic. Key areas include long-range transport and deposition of pollutants such as black carbon and mercury, ice core analysis, glacier mass balance, and snowpack dynamics. His work combines field observations, geochemical analysis, and modeling to understand past and present environmental changes. The recent publications highlight a strong trend in Arctic environmental monitoring, with a focus on pollution records from ice and snow, climate change impacts on glaciers (e.g., Penny Ice Cap), and biogeochemical cycling of mercury. His research spans disciplines including glaciology, atmospheric chemistry, hydrology, and paleoclimatology, often involving international collaborations across Canada, Svalbard, and the U.S. Christian Zdanowicz has no listed scientific awards in the provided text. However, his extensive publication record in high-impact journals such as Nature Communications , The Cryosphere , and Atmospheric Chemistry and Physics underscores his significant contributions to Arctic and cryospheric science. He is involved in advising and research supervision, as evidenced by collaborative projects and student co-authors, though no formal list of advisees is provided. He leads and contributes to major research initiatives related to Arctic snow and ice, including community-based monitoring and development of standardized protocols. While no specific grants are listed, his work implies participation in funded Arctic research programs. Zdanowicz is affiliated with a research team focused on air-ice-land interactions, particularly through field campaigns in the Canadian Arctic, Svalbard, and Yukon. His work contributes to broader efforts in understanding climate change impacts on polar environments and informing policy on pollution and cryospheric stability.

• Urban Climatology
• Climate-Sensitive Urban Planning and Design
• Human Thermal Comfort
• +۵ مورد دیگر

Kevin Ka-Lun Lau is a Senior Lecturer at Luleå University of Technology’s Department of Civil, Environmental and Natural Resources Engineering. His work bridges urban climatology with climate-sensitive urban planning and design, focusing on the interplay between built environments and urban climates, particularly human thermal comfort in outdoor settings. He actively explores how urban design impacts health and well-being while integrating climate resilience strategies. Research Interests : Urban climatology, microclimate studies, thermal comfort, climate-sensitive urban design, urban health, and sustainable development. Key Projects : Principal investigator for government and private sector initiatives; member of WMO Expert Networks. Lau’s recent publications analyze climate change impacts on building energy resilience, thermal comfort metrics, and microclimate data selection. His work emphasizes passive design strategies to mitigate cooling demand in high-rise buildings and systematic literature reviews on building vertical extensions. These studies often involve cross-country collaborations, especially in Sweden, Cyprus, and Hong Kong. Scientific Affiliations : WMO Expert Network Commission for Observation, Infrastructure and Information Systems Commission for Weather, Climate, Water and Related Environmental Services Lau’s interdisciplinary research translates scientific insights into practical urban planning guidance, addressing both immediate and long-term climate challenges. He utilizes advanced modeling tools like Max Planck Institute’s Earth System Model and focuses on evidence-based policy for heat-health warnings and urban sustainability.