جست‌وجوی استاد و پژوهشگر

Vibeke Grøverمشاهده پروفایل

استاد

• Language and reading comprehension in children
• Language minority children's learning
• Second language acquisition
• +۳ مورد دیگر

Vibeke Grøver is a Professor at the Department of Pedagogical Research, University of Oslo. Her work focuses on language and reading comprehension development for language minority children, with a emphasis on bilingual education, shared book reading interventions, and sociolinguistic factors influencing literacy. Education: Dr.polit., University of Oslo (1992) Master in Educational Psychology, University of Oslo (1982) Elementary School Teacher, University of Oslo (1977) Research Interests include second-language acquisition, early literacy for dual-language learners, home literacy environments, and teacher talk features in preschool settings. She leads projects like Teaching for text comprehension and has contributed to the DEAL (Development, Equality, and Literacy in Learning Contexts) research group. Article Trends show longitudinal studies on bilingual profiles, shared reading interventions, code-switching dynamics, and neighborhood demographic impacts on vocabulary. Key themes include scaffolding language minority students, cross-cultural comparisons (e.g., Chinese-Norwegian families), and teacher-student interaction patterns in multilingual preschools. Leadership Roles include Dean of the Faculty of Educational Sciences (2009–2012) and advisory positions for the Peder Sather Center at UC Berkeley (2012–2014). Research visits span Harvard, UC Berkeley, NYU, and East China Normal University.

• Computer Architecture
• Microarchitecture
• Memory Systems
• +۴ مورد دیگر

Rakesh Kumar is an Associate Professor in the Department of Computer Science (IDI) at the Norwegian University of Science and Technology (NTNU) , affiliated with the Computer Architecture Lab (CAL) within the Faculty of Information Technology and Electrical Engineering . Prior to joining NTNU, he held postdoctoral and research associate positions at Uppsala University and the University of Edinburgh, and interned at Intel Barcelona Research Center. Research Interests include improving large-scale datacenter efficiency through microarchitecture and memory system optimizations, hardware/software co-designed processors, dynamic code translation, vectorization, and serverless function execution. His work explores ready-aware instruction scheduling, branch prediction organization, and address translation mechanisms. Scientific Contributions span publications at top-tier conferences like MICRO (2024, 2023, 2018, 2016) HPCA (2020, 2019, 2023, 2022) ASPLOS (2018) DATE (2019, 2021) Journal articles appear in ACM Transactions on Computer Systems and IEEE Computer Architecture Letters . Awards include Intel Spontaneous Level II/Excellence Award (2014) Best Presentation Award at HiPC-SS08 (2008) Best Paper Award at National Conference on High Computing Technologies (2008) Distinguished Artifact Award at MICRO 2023 PhD Supervision involves advising students like Roman Kaspar Brunner, Elias Orrem, and Truls Asheim on topics spanning microarchitecture, vector units, and runahead execution policies.

• Cancer Biomarkers
• Translational Cancer Research
• Digital Pathology
• +۳ مورد دیگر

Lill-Tove Rasmussen Busund is a Professor and Consultant Pathologist at the Department of Medical Biology, UiT The Arctic University of Norway. Her research focuses on translational cancer studies with emphasis on cancer biomarkers in tissue and blood, combining molecular biology with artificial intelligence applications in pathology. She leads the Translational Cancer Research Group (TCRG) and contributes to projects like the TNM-Immune Cell Score Trial and AI–Pathology initiatives. Role: Professor/Consultant Pathologist University: UiT The Arctic University of Norway Department: Department of Medical Biology Email: lill.tove.rasmussen.busund@uit.no Rasmussen Busund's work spans epidemiological cancer research , multi-omic data integration , and machine learning applications for cancer diagnostics. She develops prognostic and predictive biomarkers using population-based cohorts like the NOWAC study, with particular attention to hormone-dependent cancers and immune microenvironment analysis . Recent publications highlight her expertise in digital pathology and AI-driven tumor classification , including studies on microRNA expression patterns in breast and colon cancer, immune cell score development for NSCLC, and computational approaches to lymphocytic infiltration assessment. Her research directly impacts precision oncology and immunotherapy response prediction . She contributes to teaching as leader of the Musculoskeletal System course at the Medical School, and maintains active participation in scientific knowledge migration projects like the transition to the National Science Archive (NVA). Her ORCID identifier is 0000-0001-8235-6163 .

Marcos Caballeroمشاهده پروفایل

دانشیار

• Physics Education Research
• Computational Modeling in Physics
• Science Practices
• +۳ مورد دیگر

Marcos Caballero serves as Associate Professor at both the University of Oslo's Center for Computing in Science Education and Michigan State University. His work bridges physics education research with computational science instruction across educational levels from high school to graduate programs. His educational background includes: B.S. in Physics from University of Texas at Austin (2004) M.S. in Physics from Georgia Institute of Technology (opto-microfluidics research) Ph.D. in Physics Education Research from Georgia Tech (2011, first PER-focused doctorate there) Postdoctoral research at University of Colorado Boulder Caballero's research investigates how computational tools and science practices shape physics learning, employing both cognitive and sociocultural theoretical frameworks. Key projects examine measurement uncertainty assessment, computational literacy development, and equity in graduate admissions. His work spans micro-level analyses of student coding comprehension to macro-level studies of computing's impact across degree programs, with significant contributions to transforming upper-division physics curricula toward active learning environments. His recent publications (2021-2024) reveal concentrated focus on measurement uncertainty assessment instruments , computational thinking frameworks , and holistic graduate admissions reform . These works demonstrate increasing methodological sophistication through NLP applications and large-scale educational data analysis, while maintaining practical relevance for physics classroom transformation. Caballero co-founded Georgia Tech's Physics Education Research group and currently leads UiO's Center for Computing in Science Education and Michigan State's Physics Education Research Lab . His international partnership for computing in science education drives cross-institutional curriculum development, focusing particularly on integrating computational practices into core physics instruction while addressing equity challenges in STEM education.

• Genetics and Genomics
• Physics
• Natural Resource Management
• +۷ مورد دیگر

Rune Andreassen is a Professor at the Faculty of Health Sciences , Department of Life Sciences and Health at OsloMet - Storbyuniversitetet. His research spans interdisciplinary domains including Genetics and Genomics, Forensic Genetics, miRNA regulation, and environmental stress responses in aquatic species like Atlantic salmon ( Salmo salar ). Specializes in method development for deep sequencing and characterization of genes. Active in studying epigenetic regulation by miRNAs in Atlantic salmon, particularly in disease response and osmotic stress adaptation. Collaborates on databases such as MicroSalmon , integrating miRNA target transcripts and cis-regulatory elements. Research Trends: Recent publications focus on miRNAome analysis, transcriptome profiling, and splice variants in salmonids. His work bridges molecular biology and aquaculture, with applications in fish health and conservation genetics. Education and Affiliations: Affiliated with OsloMet since at least 2002, Rune has contributed to projects involving CRISPR methodology, wildlife DNA sampling, and salmonid genomics.

• Heritage Language Acquisition
• Bilingualism
• Psycholinguistics
• +۵ مورد دیگر

Aleksandra Tomic is a Postdoctoral Fellow at the Department of Language and Culture, UiT The Arctic University of Norway. Her research focuses on heritage language acquisition, bilingualism, and psycholinguistics, with particular emphasis on Bosnian and Serbian heritage speakers in Norway. Her research interests span several key areas in linguistics and language processing: Heritage language acquisition and maintenance Morphosyntactic variation in bilingual speakers Code-switching and its cognitive processing Cross-linguistic influence in bilingual language processing Individual differences in heritage language proficiency Methodologies for documenting language experience Dr. Tomic's recent publications demonstrate a strong focus on heritage speakers of Bosnian and Serbian in Norway, examining morphosyntactic processing, clitic placement, and the impact of individual language experience factors. Her work frequently employs experimental methods including ERP studies to investigate the neural correlates of language processing in bilingual contexts. She has made significant contributions to understanding how social and linguistic factors interact in heritage language maintenance and variation. She is a member of the AcqVA Aurora research group and the C-LaBL research network. Her collaborative projects include "Bosnisk språk i Norge" (Bosnian language in Norway), which investigates the status and use of Bosnian language among heritage speakers in Norway.

• Genetic Epidemiology
• Mendelian Randomization
• Population-Based Health Surveys
• +۵ مورد دیگر

Ben Michael Brumpton is an Associate Professor in the Department of Community Medicine and Nursing at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Medicine and Health Sciences. His research focuses on genetic epidemiology, particularly leveraging population-based health surveys (e.g., HUNT Study), electronic health records, and omics data to establish causal relationships in public health. Methodologically, he emphasizes Mendelian randomization and genetic epidemiology frameworks. Major Research Projects: HUNT Genotyping HUNT-COVID Questionnaire HUNT Metabolomics HUNT Methylation Research Interests: His work spans DNA methylation analysis, metabolomics, and the integration of omics data into epidemiological studies. He investigates causal links between genetic traits and diseases such as cardiovascular disorders, cancer, and respiratory conditions. Recent studies have explored intergenerational effects of maternal glycemic traits and parental BMI on offspring health outcomes. Publications Overview: His recent work highlights novel genetic loci for chronic low back pain, venous thromboembolism, and celiac disease. He has also contributed to large-scale meta-analyses of atrial fibrillation and breast cancer risk, emphasizing polygenic prediction and Mendelian randomization approaches. Labs/Teams: Primary affiliation with the HUNT Research Center and collaborations within NTNU’s epidemiology and genetics research groups.

• Scientific Computing
• Numerical Analysis
• Numerical Methods for PDE
• +۴ مورد دیگر

Professor Talal Rahman is a faculty member at the Western Norway University of Applied Sciences, where he works in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. His office is located at Bergen KRONSTAD D305, and he can be reached at phone number +47 55 58 72 46. Professor Rahman's research spans several key areas in computational mathematics and scientific computing. His primary research interests include: Scientific Computing Numerical Analysis Numerical Methods for Partial Differential Equations Preconditioning Finite Element with Domain Decomposition Methods Variational Image Processing Artificial Intelligence and Machine Learning applications Professor Rahman's extensive publication record demonstrates a strong focus on domain decomposition methods, particularly Schwarz methods and their applications to multiscale problems. His recent work shows an increasing integration of machine learning techniques with traditional numerical methods, as evidenced by publications on neural network applications for environmental modeling and capelin migration patterns. His research also extends to biomedical applications, including computational analysis of biodegradable materials and bone tissue engineering scaffolds. He has made significant contributions to the development of adaptive preconditioners and parallel algorithms for solving complex numerical problems, with his work on the TV-Stokes model for image processing representing an important contribution to the field of variational image processing. Professor Rahman has supervised numerous research projects and students, though specific student names are not provided in the available information. His research appears to be supported by grants related to computational science and engineering, though specific grant details are not mentioned in the provided text. Based on his research areas, Professor Rahman likely collaborates with various research groups focused on computational science, with potential connections to biomedical engineering labs and environmental research teams studying the Barents Sea ecosystem.

• Applied Mathematics
• Numerical Analysis
• Parallel Computing
• +۷ مورد دیگر

André Brodtkorb is a Professor and Head of the Department of Information Technology at Oslo Metropolitan University. His research spans applied mathematics, numerical analysis, and computational science, focusing on physics simulations and GPU computing. He advocates for open and reproducible research and is actively involved in education and societal engagement through the Academy of Young Researchers (2024-2028). Research Interests: His work integrates applied mathematics and computer science to develop high-performance simulations for environmental phenomena, including ocean currents, volcanic ash dispersion, and coastal flooding. He specializes in GPU-accelerated parallel computing, finite-volume methods, and Python-based scientific programming. Publication Trends: Recent articles highlight advancements in GPU computing efficiency, ocean modeling, and inverse ash transport modeling for volcanic plume forecasting. His research bridges computational methods with real-world environmental challenges. Scientific Awards: Member of the Academy of Young Researchers (2024-2028) Contact Information: Office: Pilestredet 35, 0166 Oslo Phone: +47 456 19 070 (Mobile), +47 672 35 924 (Office) Email: andre.brodtkorb@oslomet.no

Tor Endestadمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Cognitive Neuroscience
• Brain Imaging Methodology
• +۷ مورد دیگر

Tor Endestad is an Associate Professor in Cognitive Psychology at the University of Oslo, specializing in Cognitive Neuroscience and Brain Imaging Methodology. He leads the Endestad Brain Imaging Group (EBIG) and serves as Head of the fMRI Laboratory at the Center for the Study of Human Cognition. His research focuses on visual information processing, attention, memory control mechanisms, and motor responses to conflicting stimuli. International collaborations with University of Regensburg (Germany) and University of California, Berkeley (USA) Key research areas: source memory, constructive perception, neural oscillations, and music-brain interactions Recent publications span topics like auditory stream encoding, musical sensibility genetics, and neuroimaging techniques. His work integrates fMRI, EEG, and fNIRS methodologies across cognitive and clinical domains. EBIG members include postdoctoral fellows and researchers from psychology, medicine, computer science, and linguistics disciplines. The group participates in UiO:Life Sciences initiatives.

• child language acquisition
• heritage speaker bilingualism
• acquisition of morphosyntax and prosody
• +۲ مورد دیگر

Selim Tiryakiol is a Research Fellow at the Department of Language and Culture , UiT The Arctic University of Norway. His work focuses on heritage language acquisition, particularly examining how linguistic and extra-linguistic factors influence language development and maintenance. Research interests include: Heritage language bilingualism Morphosyntactic and prosodic acquisition Community engagement's role in language competence Individual and social variables in language development Notable scientific award: Marie Skłodowska-Curie Fellowship (MSCA) . Current project CODE-V (2023-2025) investigates capacity, opportunity, and desire in heritage language variation. Recent publications emphasize: Heritage language input quality vs. quantity Comparative analysis of Turkish monolingual and heritage speakers Pedagogical grammar frameworks for Turkish Memory systems and cognitive factors in language learning He is affiliated with research groups AcqVA Aurora , C-LaBL , and AcqVA-Nor , focusing on experimental and theoretical approaches to language variation.

Hans Arnold Wintherمشاهده پروفایل

دانشیار

• Theoretical Cosmology
• Numerical Cosmology
• Structure Formation Simulations
• +۴ مورد دیگر

Hans Arnold Winther is an Associate Professor at the University of Oslo, affiliated with the Department of Astrophysics within the Faculty of Mathematics and Natural Sciences. His research focuses on theoretical and numerical cosmology, including structure formation, dark matter, dark energy, and cosmic voids. He is a key contributor to the Euclid mission, an ESA-led space telescope aimed at advancing our understanding of the universe's evolution. Education: PhD in Theoretical Astrophysics from the University of Oslo (2013) Postdoctoral Research: University of Oxford (2013–2016), University of Portsmouth (2016–2019) Winther’s research interests revolve around cosmological simulations, modified gravity theories, and the analysis of large-scale structure data from galaxy surveys. He leads projects investigating the interplay between dark matter models (e.g., fuzzy dark matter, Bose-Einstein condensates) and observational data. His work often involves developing numerical tools and emulators to predict cosmological observables. Publications highlight contributions to Euclid mission planning, simulations of structure formation in beyond-ΛCDM models, and studies of cosmic voids as probes of dark energy. He is part of the Cosmology and Extragalactic Astronomy research group at the University of Oslo and actively contributes to international collaborations, including the Euclid Consortium.

• Computational Neuroscience
• Neurophysics
• Brain Signal Analysis
• +۳ مورد دیگر

Gaute Tomas Einevoll is a Professor in the Department of Condensed Phase Physics at the University of Oslo. His research focuses on computational neuroscience, neurophysics, and theoretical biophysics. He leads the COBRA project (COMPUTING BRAin signals) and contributes to the Condensed phase physics research group. His work integrates physics-based approaches with neuroscience to study brain signal analysis, synaptic plasticity mechanisms, and neuron modeling. Recent research includes computational modeling of schizophrenia-related synaptic impairments and topological analysis of neural population activity in visual cortex systems. He has published extensively in top journals like PLoS Computational Biology and PNAS, with notable contributions on electric brain signal predictions and genetic mechanisms in mental health. Einevoll collaborates internationally and engages in multidisciplinary projects at the intersection of neuroscience, computing, and technology. His research has implications for understanding brain disorders and advancing neurotechnology applications.

Kyrre Ness Sjøbækمشاهده پروفایل

پژوهشگر

• Particle Accelerator Technology
• Plasma Lenses
• CLIC Accelerating Structures
• +۳ مورد دیگر

Kyrre Ness Sjøbæk is a researcher at the University of Oslo, affiliated with the Department of Physics. He is based at CERN's CLEAR facility from 2017 to 2019 and continues his work in active plasma lenses and particle accelerator technology. His academic roles include project leadership for SHARP (Advanced focusing systems for precision irradiation) and teaching courses on accelerator physics and instrumentation. PhD in Accelerator Physics (UiO/CERN, 2010-2016) MSc in Physics (UiO, 2008-2010) BSc in Physics (UiO, 2005-2008) His research focuses on Active Plasma Lenses for particle accelerators, CLIC Wake Field Monitors , and applications in Particle Therapy and Beam Instrumentation . He explores innovations in achromatic beam transport and nonlinear plasma optics , with significant contributions to medical applications of accelerators. The 15 most recent publications span 2019-2025, highlighting work in plasma lens technology , beam diagnostics , and multi-TeV collider systems . Key trends include medical accelerator development , high-gradient focusing , and computational modeling for beam transport and stability. He leads experiments at CERN's CLEAR facility and collaborates on the SHARP project for proton therapy precision . His work involves 3D silicon sensors , vacuum arc simulations , and dynamic multi-scale modeling for advanced accelerator concepts.

Malte Müllerمشاهده پروفایل

دانشیار

• Meteorology
• Oceanography
• Arctic Research
• +۷ مورد دیگر

Malte Müller is an Associate Professor at the Section for Meteorology and Oceanography (MetOs) at the University of Oslo , specializing in Arctic climate dynamics, numerical weather prediction, and ocean-ice-atmosphere interactions. His research spans from high-resolution forecasting systems to climate change impacts on polar regions. Key Projects: Copernicus Arctic Marine Forecasting Center, FOCUS, IcySea, Nansen Legacy, SALIENSEAS, PRISMAS Teaching: GEO4902 – Weather Systems Research Themes include: Sea Ice Modeling: Developing kilometer-scale forecasting systems, analyzing marginal ice zone dynamics, and applying machine learning to sea ice drift predictions. Climate Extremes: Studying circulation pattern changes affecting Norwegian precipitation, atmospheric river-induced floods, and tidal evolution under climate change. Observational Networks: Designing open-source oceanographic instruments like OpenMetBuoy for Arctic wave and drift measurements. Publication Trends reveal focus areas in Arctic Meteorology , Sea Ice Dynamics , Tidal Energy Conversion , and Climate Risk Assessment through collaborations with institutions like NASA, Copernicus, and international universities. Collaborations span institutions including: NASA Goddard Institute for Space Studies Nansen Environmental and Remote Sensing Center Copernicus Marine Service UiO Meteorology and Oceanography Department