جست‌وجوی استاد و پژوهشگر

Anna Plaksienkoمشاهده پروفایل

پژوهشگر ارشد

• High-dimensional statistics
• Omics data integration
• Multi-omics analysis
• +۴ مورد دیگر

Dr. Anna Plaksienko is a Research Fellow in High-dimensional Statistics at the University of Oslo's Institute of Basic Medical Sciences, Faculty of Medicine. Her work focuses on statistical methods for omics data integration, particularly in multi-source high-dimensional regression and graphical models. She develops computational tools like the methyLImp2 and jewel R packages for missing value imputation and joint network estimation. Education: PhD in Mathematics (2021) - Gran Sasso Science Institute, Italy BSc in Mathematics (2016) - Novosibirsk State University, Russia Research Interests: She explores differential network estimation, stability selection, and error control in omics data (RNA-Seq, methylation, lipidomics). Her methods aim to uncover biological insights from multi-omics integration and high-dimensional datasets. Labs/Teams: She is part of the High-dimensional Statistics research group at the Institute of Basic Medical Sciences, collaborating on projects involving statistical methodology and computational biology.

Einar Eftestølمشاهده پروفایل

مدرس ارشد

• Skeletal Muscle Physiology
• Muscle Hypertrophy
• Muscle Memory
• +۳ مورد دیگر

Einar Eftestøl serves as a Senior Lecturer in the Division of Physiology at the Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo. His research focuses on skeletal muscle adaptation mechanisms, with emphasis on hypertrophy and muscle memory phenomena across species. Education: Bachelor in Molecular Bioscience, University of Oslo (2007) Master of Science in Physiology, University of Oslo (2009) PhD in Physiology, University of Oslo (2015) Research Interests: Dr. Eftestøl investigates cellular and molecular pathways underlying skeletal muscle growth, particularly how mechanical stimuli trigger hypertrophy through rat and mouse strength training models. His foundational PhD work established the critical role of mechanical load in muscle adaptation, while subsequent research explores epigenetic mechanisms of muscle memory. Current projects examine cross-species validation of muscle memory in humans and molecular cascades linking mechanical stimuli to hypertrophic responses. His interdisciplinary approach bridges exercise physiology , molecular biology , and translational rehabilitation science , with significant implications for sports medicine and aging-related muscle loss. Publications: Analysis of his 15 most recent publications (2014-2024) reveals consistent focus on myonuclear dynamics as central to muscle adaptation. Key themes include mechanical load-dependent signaling (JNK pathway), myonuclear domain scaling across species, epigenetic regulation of muscle memory, and clinical applications in immobilization recovery. His work demonstrates remarkable continuity in exploring how early-life exercise creates persistent molecular changes that enhance adult muscle responses—a phenomenon now validated from rodent models to human studies. Collaborative papers frequently integrate human clinical data with rodent experimentation, establishing translational bridges between basic science and rehabilitation medicine.

Phuong H. Haمشاهده پروفایل

استاد

• Green Computing
• Energy-Efficient Systems
• Machine Learning
• +۴ مورد دیگر

Phuong H. Ha is a Professor at the Department of Computer Science, The Arctic University of Norway (UiT), located in Tromsø, Norway. He leads the Arctic Green Computing Group and is affiliated with the Faculty of Science and Technology. His research focuses on energy-efficient computing systems, machine learning, parallel programming, and cyber-physical systems. He holds a Ph.D. from Chalmers University of Technology (Sweden). Key roles include leading EU-funded projects such as EXCESS (FP7) and TAILOR (H2020), as well as national projects like PREAPP and eX3. He has pioneered research in energy informatics, edge intelligence, and parallel programming systems. His work emphasizes sustainable energy solutions and efficient resource management in distributed systems. Teaching responsibilities include courses on Green Computing, Operating Systems, and Parallel Programming. He has developed innovative frameworks for energy harvesting in wireless devices and contributed to Arctic observational systems through projects like the Arctic Observatory (DAO). Research highlights include over 30 peer-reviewed publications in top venues like IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing. His work bridges theoretical foundations with practical applications in smart grids, IoT, and environmental monitoring.

Andreas L Opdahlمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Graphs
• Information Systems Development
• +۴ مورد دیگر

Andreas L Opdahl is a Professor at the Department of Information Science and Media Studies at the University of Bergen. He leads the Intelligent Information Systems (I2S) research group, focusing on AI-driven solutions for news media and public sectors, including knowledge graphs, ontologies, and large language models. His work emphasizes ethical AI integration in journalism and data quality frameworks for automated fact-checking. Research interests span AI applications in media, cybersecurity, enterprise modeling, and semantic technologies. Notable contributions include developing methodologies for hacker attack representation (HARM), integrating safety and security requirements (CHASSIS), and advancing knowledge graph platforms for newsrooms. His publications address challenges in information systems development, including interoperability, ontology evaluation, and multi-perspective problem analysis. Opdahl has contributed to foundational work on misuse cases for security threat modeling and semantic quality criteria in requirements engineering. His recent research explores emerging technologies like LLMs for news classification and the ethical dimensions of AI in journalism. He has been involved in projects such as the News Angler platform and semantic annotation frameworks using real-time data. His academic career includes roles as an author in leading conferences (e.g., IEEE, ACM) and journals, with a focus on conceptual modeling, enterprise systems, and requirements engineering. Collaborations span institutions like NTNU, the University of Amsterdam, and international research networks.

Åsta Haukåsمشاهده پروفایل

استاد

• Multilingualism
• Language Education
• Applied Linguistics
• +۵ مورد دیگر

Åsta Haukås is a Professor at the Department of Foreign Languages, University of Bergen. Her research focuses on multilingualism in educational contexts, teacher psychology, and pedagogical strategies for language education. She leads the 'Multilingualism on my mind' research group and actively publishes on topics including teacher collaboration, multilingual identity, and ethical research methodologies. Her work emphasizes the practical application of multilingualism in schools, exploring how linguistic diversity can be leveraged as a resource. Key themes include the role of parental language environments in shaping student identities, the psychological mindset of educators, and innovative curriculum design across Nordic countries. She has pioneered methodologies for visualizing student language practices and advancing ethical standards in qualitative research. Recent publications (2024–2025) highlight explorations of sustainable teacher collaboration, motivational frameworks for long-term educator engagement, and the intersection of multilingualism with intercultural competence. While no specific awards are listed, her contributions to multilingual pedagogy have significant academic impact. Dr. Haukås collaborates internationally, with notable work comparing language teaching approaches in Denmark, Norway, and Sweden. Her research bridges theory and practice, often involving empirical studies with pre-service and experienced teachers to inform instructional strategies.

Kjell Vaageمشاهده پروفایل

استاد

• Public Policy
• Labor Economics
• Social Welfare Systems
• +۳ مورد دیگر

Kjell Vaage is a Professor at the Department of Economics at the University of Bergen. His research focuses on public policy, labor economics, social welfare systems, intergenerational mobility, and health economics. He has contributed extensively to understanding disability pension recipiency, intergenerational earnings mobility, and policy spillover effects in welfare systems. His work often employs econometric analysis to evaluate policy impacts on labor markets, social welfare programs, and family dynamics. Key research themes include the analysis of sickness absence policies, spousal responses to welfare reforms, and the intergenerational transmission of economic outcomes. Recent studies highlight the effects of self-certification in sick leave systems, interactions between public policies, and the design of social security systems in Norway and internationally. His publications span over three decades, with a strong emphasis on quantifying policy impacts using Norwegian population data. Vaage’s work bridges theoretical econometric models with real-world policy evaluation, offering insights into labor market behavior, health outcomes, and structural inequalities. No specific scientific awards or grants are explicitly mentioned in the provided texts. Research collaborations and lab affiliations are not detailed here, but his contributions to fields like disability pension reform and intergenerational mobility suggest active engagement with academic and policy communities. His work often addresses practical policy questions with rigorous empirical methods.

Stefan Brucknerمشاهده پروفایل

استاد

• Data Visualization
• Interactive Visualization Techniques
• Biomedical Data Visualization
• +۴ مورد دیگر

Stefan Bruckner is a Professor of Visualization, currently heading the Chair of Visual Analytics at the University of Rostock, Germany, after previously serving as a full Professor at the University of Bergen, Norway. He holds a master's (2004) and PhD (2008) in Computer Science from TU Wien, Austria, and an habilitation (2012). His research focuses on interactive visualization techniques, particularly in biomedical and data-driven contexts, with contributions spanning illustrative visualization, volume rendering, and narrative medical storytelling. He has led industry collaborations with GE Healthcare and Agfa HealthCare, resulting in 7 patents. His academic roles include program co-chair for EuroVis, PacificVis, and the Eurographics Medical Prize, and editorial board membership in IEEE Transactions on Visualization and Computer Graphics and Computers & Graphics. Awards include the Eurographics Young Researcher Award and Karl-Heinz-Höhne Award for Medical Visualization, alongside 11 best paper awards. Research emphasizes narrative visualization for disease communication, user-centric medical data exploration, and innovative visual metaphors like Honeycomb Plots and ScrollyVis. His work bridges academic research with practical applications, fostering interdisciplinary collaborations in healthcare and computational biology.

Ivan Violaمشاهده پروفایل

استاد

• Medical Visualization
• Molecular Visualization
• Data Visualization
• +۳ مورد دیگر

Ivan Viola is a Professor at the University of Bergen's Department of Informatics. His research focuses on medical and molecular visualization, with a particular emphasis on biomedical applications such as fetal ultrasound analysis, protein interactions, and biomolecular dynamics. He leads the VisGroup, developing tools like COZOID for protein-protein interaction analysis and The Vitruvian Baby for fetal ultrasound standardization. His work spans interdisciplinary collaborations, integrating computer science with biology and medicine. Key contributions include advancements in visualization techniques for physiological data, molecular dynamics simulations, and real-time data processing. He has published extensively in top journals and conferences, addressing challenges in data exploration, abstraction, and interactive visualization. Viola's research impacts fields such as prenatal diagnostics, drug discovery, and medical imaging, with tools like Watergate for water trajectory analysis and cellVIEW for multi-scale biomolecular rendering. His projects emphasize user-driven design and the development of intuitive visualization solutions for complex scientific data.

Julius Parulekمشاهده پروفایل

دانشیار مدعو

• Molecular Visualization
• Bioinformatics
• Computer Graphics
• +۲ مورد دیگر

Julius Parulek is an Adjunct Associate Professor at the University of Bergen's Department of Informatics, specializing in molecular visualization and computational methods for biomolecular structures. His work focuses on developing tools and techniques for interactive exploration of protein dynamics, ligand transportation, and large-scale biological datasets. He collaborates with domain experts in biochemistry and structural biology to create visualization solutions for complex molecular processes. Research interests include: Interactive visualization of protein tunnels and cavities Multiscale rendering of biomolecular complexes Geological modeling and sketch-based visualization Agent-based modeling for biochemical processes Key contributions include: Development of the cellVIEW tool for large-scale biomolecular visualization Pioneering work on continuous levels-of-detail for molecular surfaces Techniques for unfolding protein tunnels to analyze their dynamics His research bridges computer graphics with structural biology, enabling scientists to better understand molecular mechanisms through advanced visualization approaches.

Andrea Brambillaمشاهده پروفایل

پژوهشگر

• Flow Visualization
• Scientific Visualization
• Computer Graphics
• +۳ مورد دیگر

Andrea Brambilla is a researcher at the Department of Informatics, University of Bergen, focusing on flow visualization and scientific visualization techniques. Her work emphasizes improving the understanding of complex flow phenomena through innovative visualization methods, including integral surfaces, occlusion management, and comparative visualization strategies. She completed her PhD in 2014, titled 'Visibility-oriented Visualization Design for Flow Illustration.' Her research has been applied to fluid dynamics, molecular visualization, and biomedical data analysis. Key contributions include expressive seeding strategies for stream surfaces, hierarchical splitting schemes for occluded integral surfaces, and fast molecular surface representation techniques. She actively collaborates on projects like the SemSeg initiative, advancing visualization tools for scientific data exploration. Her expertise spans computational fluid dynamics, volume rendering, and interactive visualization methods. Her presentations and lectures, such as 'Video Visualization: An Overview,' highlight her commitment to bridging visualization theory and practical applications. She has contributed to conferences and workshops, including PacificVis, IEEE Visualization, and the EuroGraphics STARs series.

Erlend Hodnelandمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Radiomics
• Tumor Segmentation
• +۳ مورد دیگر

Erlend Hodneland is a Researcher at the University of Bergen's Department of Informatics, affiliated with the Mohn Medical Imaging and Visualization Centre (MMIV). His work bridges medical imaging, radiomics, and machine learning, focusing on tumor analysis and prognostication in cancers like cervical and endometrial cancers. He specializes in developing automated tumor segmentation techniques and tools for radiomic signature analysis, integrating visualization and computational methods to enhance clinical decision-making. His research interests include medical imaging analytics, radiomics for cancer prognosis, and interactive visualization frameworks for multiparametric medical data. Collaborations involve radiologists, oncologists, and computer scientists to translate imaging data into actionable insights. Key projects include the RadEx platform for radiomic tumor profiling and automated segmentation algorithms for cervical cancer studies. Notable contributions include MRI-based delta radiomics for tracking tumor responses during chemoradiotherapy and fully automatic whole-volume tumor segmentation. His work emphasizes precision medicine through quantitative imaging biomarkers and interdisciplinary approaches to medical data analysis.

Jo Brendryenمشاهده پروفایل

پژوهشگر

• Quaternary Geology
• Ice Sheet Dynamics
• Sedimentology
• +۳ مورد دیگر

Jo Brendryen is a Researcher at the Department of Earth Science, University of Bergen. His work focuses on Quaternary geology, ice sheet dynamics, and paleoclimatology, with emphasis on interactions between marine and terrestrial processes. He is involved in projects like RISES (studying Greenland Ice Sheet dynamics) and ferry-free E39 (fjord infrastructure geohazards). His research spans sedimentology, geohazards, and ocean-ice sheet interactions, particularly in the Norwegian Sea and Arctic regions. Key research interests include past climate variability, sediment stability, and geohazard assessments for offshore infrastructure. Brendryen has contributed to understanding meltwater pulses, ice sheet collapse mechanisms, and Eemian climate events. He employs tephrochronology and information transfer analysis to disentangle climate system interactions. Major projects include RISES (2018–2021) and INTERACT (2012–2017), funded by the Bjerknes Centre and Norwegian Research Council. His work integrates field data, geophysical surveys, and numerical modeling, addressing both fundamental and applied challenges in climate science and geohazard mitigation.

Robert Lawمشاهده پروفایل

پژوهشگر ارشد

• Glaciology
• Planetary Science
• Climate Change
• +۳ مورد دیگر

Robert Law is a Postdoctoral Fellow (Research Fellow) at the Department of Earth Science, University of Bergen, affiliated with the Quaternary Geology and Paleoclimate research group. His work focuses on glaciology, planetary science, and cryosphere dynamics, with a particular emphasis on understanding ice dynamics in polar regions and icy moons. He employs advanced techniques such as fiber-optic sensing, borehole observations, and numerical modeling to study processes like hydrofracture mechanisms, subglacial hydrology, and ice sheet stability. Key research projects include investigations into Greenland Ice Sheet outlet glaciers, temperate ice dynamics, and the application of models like ELSA v2.0 for ice layer tracing. His interdisciplinary approach combines fieldwork, remote sensing, and computational methods to address climate-related questions. Law has contributed to significant datasets, including ice temperature profiles and subglacial sediment analysis, furthering our understanding of glacial systems.

Elco Luijendijkمشاهده پروفایل

دانشیار

• Hydrogeology
• Groundwater Systems
• Climate Change Impacts
• +۳ مورد دیگر

Elco Luijendijk is an Associate Professor in Hydrogeology at the Department of Earth Science, University of Bergen (UiB). His research focuses on the interplay between groundwater systems, geological processes, and climate change impacts. He is affiliated with the Geodynamics and Basin Studies research group and the Bjerknes Centre for Climate Research. His work emphasizes understanding drainage density dynamics, subsurface flow processes, and the role of groundwater in landscape evolution. Key contributions include developing coupled models of groundwater flow and surface processes, particularly highlighted in his 2022 study on transmissivity's influence on drainage density. His research spans hydrogeological modeling, thermochronology, and environmental applications like coastal groundwater nutrient dynamics and nuclear waste repository safety assessments. Elco has authored over 50 peer-reviewed articles, with recent work addressing global groundwater recharge patterns, climate sensitivity, and subterranean estuary biogeochemistry. His interdisciplinary approach bridges geology, hydrology, and computational modeling, contributing to both theoretical advancements and practical challenges in water resource management and environmental safety.

Anna Nele Mecklerمشاهده پروفایل

استاد

• Paleoclimatology
• Geochemistry
• Marine Geology
• +۳ مورد دیگر

Anna Nele Meckler is a Professor at the University of Bergen (UiB), affiliated with the Department of Geosciences and the Bjerknes Centre for Climate Research. Her research focuses on paleoclimatology, geochemistry, and marine geology, with a particular emphasis on reconstructing past ocean temperatures using clumped isotope thermometry and speleothem analysis. She leads projects such as DOTpaleo (Deep Ocean Temperatures in the Paleogene Greenhouse) and FluidMICS (Fluid Inclusion MICrothermometry in Speleothems), funded by the Research Council of Norway and the European Research Council (ERC). Her work explores Eocene to present climate transitions, including deep-sea temperature changes, Eocene-Oligocene boundary dynamics, and tropical climate variability. Collaborations span international institutions, and her findings contribute to understanding climate mechanisms in warmer worlds. Education: Not explicitly detailed in provided texts. Research Groups: Quaternary Geology and Paleoclimate. Key Projects: DOTpaleo : Investigates Paleogene greenhouse climate and deep ocean temperatures. FluidMICS : Develops speleothem microthermometry techniques for temperature reconstructions. Grants: Norwegian Research Council (Project 314371). ERC (Project 101001957). Labs/Teams: Active in UiB’s Department of Geosciences and the Bjerknes Centre. Her recent publications emphasize clumped isotope applications, tropical temperature reconstructions, and model-proxy comparisons for Eocene climates. These studies enhance tools for paleo-temperature analysis and inform climate change studies.