جست‌وجوی استاد و پژوهشگر

Gabriele de Setaمشاهده پروفایل

پژوهشگر

• Digital ethnography
• Chinese internet culture
• Algorithmic folklore
• +۴ مورد دیگر

Gabriele de Seta is a researcher at the University of Bergen's Department of Linguistic, Literary and Aesthetic Studies, leading the ALGOFOLK project funded by the Trond Mohn Foundation (2024-2028). A sociologist by training with a PhD from Hong Kong Polytechnic University, he previously served as postdoctoral fellow at Academia Sinica (Taipei) and on the ERC-funded Machine Vision in Everyday Life project. Department of Ethnology, Academia Sinica (postdoctoral fellow) Department of Linguistic, Literary and Aesthetic Studies, University of Bergen (researcher) His research focuses on algorithmic folklore, synthetic ethnography, and Chinese digital culture. He examines how digital technologies and creative practices mutually shape each other, particularly in China's sociotechnical landscape. Key areas include platform governance, machine vision, algorithmic accountability, and digital vernaculars. Recent publications analyze TikTok/Douyin's infrastructural role, deepfakes, QR codes as globalized gateways, and Chinese internet vulgarity. His work combines theoretical frameworks from STS, media studies, and digital anthropology with fieldwork on Chinese digital practices. Trond Mohn Foundation Starting Grant ERC-funded research As educator, he designed the Machine Vision module for Bergen's Critical Approaches to Technology and Society course and taught Key Theories in Digital Culture. He supervises multiple MA/PhD students including co-supervision of Hanna Lauvli. Through his blog and podcast, he promotes public engagement with digital research.

Jan G. Bjaalieمشاهده پروفایل

استاد

• Neuroinformatics
• Digital brain atlasing
• Brain architecture and connectivity
• +۴ مورد دیگر

Jan G. Bjaalie is Professor of Neuroinformatics and Dean of Research and Innovation at the University of Oslo Faculty of Medicine . Since 2023 he heads the faculty’s research and innovation strategy, while directing the Neural Systems and Graphics Computing Laboratory at the Institute of Basic Medical Sciences. Education: 1990 Ph.D. in Neuroanatomy, University of Oslo 1986 M.D., University of Oslo Research interests revolve around collaborative and open neuroscience, digital brain atlasing, and the cyber-infrastructures that enable data sharing. He leads efforts to build next-generation atlases that integrate multi-scale brain architecture and connectivity data, and to develop ontologies and FAIR-compliant platforms for global neuroscience. Recent work emphasizes in silico integration of rodent and human imaging datasets, leveraging machine-learning registration tools and cloud-based services such as EBRAINS. The goal is to transform how brain data are stored, visualised and reused across laboratories worldwide. Scientific output & impact: A scan of publications from 2023-2025 reveals a strong focus on digital atlas frameworks, automated image registration (DeepSlice, DeMBA), open data standards (AtOM ontology), and large-scale analyses of genetic influences on brain structure in Alzheimer’s models. These works collectively advance reproducible, high-throughput neuroanatomy and cross-species translation. Grants & leadership roles: Coordinator/Partner in EU Flagships EBRAINS 2.0, BRAIN Health, Human Brain Project (2013-2026) Infrastructure Director, Human Brain Project (2018-2023) Leader of Neuroinformatics Platform & EBRAINS Data Services (2017-2023) Head of Institute of Basic Medical Sciences (2009-2016) Executive Director, International Neuroinformatics Coordinating Facility (INCF) (2006-2008) Chair, International Brain Initiative (2021-) Editorial & governance service: Founding Chief Editor Frontiers in Neuroinformatics (2007-), Section Editor Brain Structure and Function (2002-2020), member of the INCF Governing Board and EBRAINS AISBL Management Board, and numerous international advisory panels on data governance and ethics. His laboratory hosts the Norwegian Neuroinformatics Node and collaborates closely with global consortia to deliver open-access atlases, software pipelines and FAIR data standards that underpin modern neuroscience.

• Robotic Vision
• Autonomous Vehicles
• Computer Vision
• +۷ مورد دیگر

Dr. Annette Stahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). She is an Onsager Fellow and leads the Robot Vision Group, overseeing the AILARON project funded by the Research Council of Norway. Her roles include affiliation with NTNU AMOS and the SFI AutoShip Centre for Research-based Innovation. Stahl holds a PhD in Applied Mathematics (Computer Vision) from Heidelberg University. Affiliations: NTNU AMOS, SFI AutoShip, and AILARON project leadership Research Focus: Robotic vision, autonomous systems, underwater exploration, and aquaculture monitoring Education: PhD in Applied Mathematics (Computer Vision) – Heidelberg University Research Interests: Her work spans robotic and computer vision, control theory, autonomous vehicles, mathematical image analysis, and machine learning applications in aquaculture and maritime systems. Key focus areas include underwater SLAM, sensor fusion for autonomous ships, and plankton detection using AI. Articles: Recent publications emphasize underwater robotic systems, sensor fusion for autonomous navigation, and AI-driven aquaculture monitoring. Key themes include 3D reconstruction, visual SLAM, and maritime tracking algorithms. Grants & Projects: AILARON (FRINATEK/IKTPLUSS) AUTOSIGHT (IKTPLUSS) AROS (IKTPLUSS) SFI AutoShip (SFI) Advising: Main supervisor for 10+ PhD candidates (e.g., Trym Nygård, Mauhing Yip) Co-advisor for projects like INDISAL (fish identification) Labs/Teams: Robot Vision Group at NTNU Collaborations with SINTEF Ocean and Zebop AS

Jan G. Bjålieمشاهده پروفایل

استاد

• Neuroinformatics
• Brain Architecture
• Digital Brain Atlases
• +۷ مورد دیگر

Jan G. Bjålie is a Professor and Vice Dean for Research and Innovation at the Faculty of Medicine, University of Oslo. He has led neuroinformatics development since the 1990s and held leadership roles including Head of the Department of Basic Medical Sciences (2009-2016) and Head of Infrastructure Development for EBRAINS. His research bridges neuroanatomy, computational neuroscience, and digital brain atlases. Doctor of Medicine, University of Oslo (1990) Associate Professor (1991), Professor (1997) in Basic Medical Sciences 2016-: First Leader, International Neuroinformatics Coordinating Facility 2017-: Coordinator, Human Brain Project Neuroinformatics 2019-2021: Head, International Brain Initiative Research Interests span neuroinformatics, brain architecture, and digital brain atlases. His work focuses on: Developing standardized frameworks for brain atlas utilization 3D spatial mapping of neural systems Neuroanatomical connectivity in rodent models Integration of multi-modal neuroscience data International collaboration in brain research Computational modeling of brain structure-activity relationships Recent Publications highlight advancements in automated brain imaging registration, developmental brain mapping, cross-cultural neuroscience perspectives, and genetic influences on brain composition. His neuroinformatics tools (e.g., DeepSlice, Waxholm Space, AtOM) enable global standardization of brain data analysis. Leadership Roles include: Vice Dean for Research and Innovation (2023-2026) Infrastructure Development Lead for EBRAINS (2019-) International Brain Initiative Head (2019-2021) Coordinating EU-funded Human Brain Project neuroinformatics Collaborations extend across major brain projects in the USA, Japan, and Europe through initiatives like the International Brain Initiative and ESFRI roadmap projects.

• Experimental Fluid Mechanics
• Wind Energy
• Turbulence
• +۷ مورد دیگر

Srikar Yadala V is a Researcher and Fluids Lab & Equipment Coordinator at the Department of Energy and Process Engineering at NTNU, Norway. He specializes in experimental fluid mechanics with expertise in wind tunnel/water channel testing, particle image velocimetry, and advanced fluid measurement techniques. His research focuses on aerodynamics/hydrodynamics, turbulence, bluff body wakes, jets, shear layers, hydrogen combustion, aircraft wings, boundary layers, and wind energy applications. Education: PhD in Fluid Mechanics (2016-2020) from Institut PPrime, University of Poitiers, France Guest Researcher at Delft University of Technology, Netherlands (2016-2020) MSc in Aerospace Engineering (2014-2016) from Delft University of Technology, Netherlands BE in Mechanical Engineering from Visvesvaraya Technological University, India (2010-2014) As Fluids Lab Coordinator, he oversees facility maintenance and collaborates with external users for testing needs. His work bridges academic research with practical applications, including turbine wake characterization, vortex lock-in phenomena, and plasma-based flow control. He has presented at major conferences such as the International Symposium on Combustion and TSFP12, demonstrating his contributions to turbulence and shear flow phenomena. Research highlights include volumetric visualization of wind turbine wakes, suppression of thermoacoustic instabilities, and experimental investigations into vortex dynamics. His lab coordination role ensures cutting-edge infrastructure supports both academic and industrial projects, emphasizing interdisciplinary collaboration.

• Medical Image Processing
• Volumetric Visualization
• Image Registration
• +۲ مورد دیگر

Gabriel Hanssen Kiss is an Associate Professor at NTNU's Department of Computer Science and a senior engineer at St Olavs Hospital's Operating Room of the Future. His expertise spans medical image processing, visualization, extended reality, and ultrasound technology. His research focuses on volumetric data visualization, image registration/fusion, and XR applications for medical contexts. With a PhD in Engineering from KU Leuven focused on visualization and automated polyp detection in virtual colonoscopy, Kiss bridges computer science with clinical applications to advance medical technology.

• Turbulent Flow
• Rheology
• Numerical Simulations
• +۷ مورد دیگر

Professor Jannike Solsvik is a faculty member at the Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU), within the Faculty of Natural Sciences. Her research focuses on turbulent flow dynamics, rheology, and multiphase systems, with a particular emphasis on bubble hydrodynamics and interfacial mass transfer in both Newtonian and non-Newtonian fluids. She leads studies on bubbled columns, stirred tanks, and fluidized bed reactors, applying advanced numerical methods like CFD and population balance modeling (PBM). Affiliations: Department of Chemical Engineering, NTNU Key Roles: Academic Researcher, PhD Advisor, and Program Fellow Professor Solsvik’s work integrates experimental and computational techniques to address challenges in chemical engineering processes, such as optimizing reactor designs and understanding fluid-particle interactions. Her research has been supported by grants and collaborations with industry partners. Publications span topics like bubble dynamics, mass transfer coefficients, and turbulence modeling. Recent work includes studies on coalescence kernels in bubbly flows and the application of proper orthogonal decomposition (POD) for vortical structure analysis. Award: NTNU Outstanding Academic Fellows Programme Advising: Supervised multiple PhD students and postdocs in areas like Fischer-Tropsch synthesis and CFD-PBM modeling. Active in guiding research on scale-up strategies for non-Newtonian fluids. Labs/Teams: Involved in multiphase flow research groups and reactor modeling initiatives at NTNU.

Veronika Šoltészováمشاهده پروفایل

دانشیار مدعو

• Scientific Visualization
• Medical Visualization
• Volume Rendering
• +۵ مورد دیگر

Veronika Šoltészová is an Adjunct Associate Professor at the Department of Informatics , University of Bergen. Her research focuses on scientific and medical visualization, volume rendering, and perception-driven visualization techniques. She has contributed to advancements in real-time data processing, shading models, and medical imaging workflows. Education: PhD in Computer Science (2012), University of Bergen Research Interests: Volume rendering and streaming data visualization Medical imaging (ultrasound, sonar) Perception-based shading models and illumination Real-time visualization algorithms Publications Trends: Her work spans medical imaging pipelines, volume data processing, and perceptual studies. Recent contributions include output-sensitive filtering for streaming volumes and visibility-driven processing techniques. Labs/Teams: Active in the MedViz (Medical Visualization) and SciVis (Scientific Visualization) research groups.

Daniel Patelمشاهده پروفایل

پژوهشگر

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

Daniel Patel is an Adjunct Researcher at the University of Bergen's Department of Informatics. His work focuses on advancing visualization techniques for geological and geophysical data, with a particular emphasis on interactive modeling, real-time rendering, and domain-specific tools for scientific communication. He has contributed to projects such as 'Geological Storytelling' and 'Rapid Sketch-Based Modeling,' which aim to bridge the gap between geologists' conceptual ideas and computational modeling. Patel’s research integrates computer graphics innovations with domain-specific challenges in geology and marine science. His research interests include volume rendering, sketch-based modeling, seismic data interpretation, and educational approaches to PhD training. He collaborates with interdisciplinary teams, including the VisGroup at UiB, to develop tools for visualizing complex geological structures and sonar data. Patel holds a PhD in expressive visualization from TU Wien (2009) and has published extensively on topics ranging from chromatic shadows in medical visualization to statistical transfer functions for noisy data. Key contributions include the development of occlusion shading models, instant convolution shadows, and knowledge-assisted visualization frameworks for seismic exploration. His work emphasizes rapid prototyping and user-centric design, enabling domain experts to rapidly communicate and explore geological hypotheses.

• Medical Image Processing
• Visualization
• Extended Reality (XR)
• +۳ مورد دیگر

Gabriel Hanssen Kiss is currently an Associate Professor at the Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), and Senior Engineer at the Operating Room of the Future, St Olavs Hospital. He holds a PhD in Engineering from K.U. Leuven, Belgium, with a focus on visualization and automated polyp detection in virtual colonoscopy, and a computer science engineer diploma from Technical University of Cluj-Napoca, Romania. Education: PhD in Engineering (K.U. Leuven), Computer Science Engineer (Technical University of Cluj-Napoca) Affiliations: NTNU (Associate Professor), St Olavs Hospital (Senior Engineer) His research focuses on medical image processing and visualization, extended reality (XR) systems, and ultrasound technology. Key subfields include volumetric data visualization, image registration/fusion, and XR applications in both medical and non-medical domains. Recent publications highlight AI-driven echocardiography, LiDAR-GNSS data fusion for localization, and mixed reality in surgical training. Collaborative work spans AI applications in transesophageal echocardiography for left ventricular function, 3D segmentation models, and augmented reality systems for medical education. He works with teams at NTNU and St Olavs Hospital, focusing on systems like the Operating Room of the Future (FOR).

Olga Therese Ousdalمشاهده پروفایل

دانشیار

• Neuroscience
• Psychiatry
• Neuroimaging
• +۶ مورد دیگر

Olga Therese Ousdal is an Associate Professor at the Department of Biomedicine , University of Bergen , and a consultant neuroradiologist at Haukeland University Hospital . Her research bridges neuroscience and psychiatry , focusing on the neurobiological mechanisms underlying major depression , anxiety disorders , and trauma , particularly in youth survivors of the 2011 Utøya terror attack. Research Interests : Neuroimaging, brain plasticity, ECT/TMS treatment mechanisms, trauma, multiomics, and cognitive control. Awards : Marie Spångberg Award (2020), Falch Junior Award (2022), Young Scientist Award (2022). Leadership : Neuroimaging work packages at the Center for Research on Neurostimulation Treatments and Bergen Center for Brain Plasticity . Publications (2025-2012) reveal trends in ECT-induced brain changes , amygdala-prefrontal circuits , and trauma's impact on brain development . Her work spans obsessive-compulsive disorder , depression , and genetic-neural interactions . Teaching : Previously instructed MED4 - Human Physiology and Biological Psychology (PROPSY303) . Supervises master's and PhD students in neuroimaging and mental health research.

• Serious Games
• Games for Health
• Virtual Reality
• +۵ مورد دیگر

Simon McCallum is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He transitioned to academia in 2009 after working as a game developer in Norway. His research focuses on Serious Games, particularly in health applications, Virtual Reality, and gamification. He holds a PhD in Computer Science from the University of Otago (2007) and has a multidisciplinary background in Mathematics, Psychology, and Philosophy. Education: Bachelor's in Computer Science (University of Otago) PhD in Computer Science (University of Otago, 2007) Affiliations: NTNU since 2009 Previously worked in game development startups in Norway His research interests include Games for Health , Augmented Reality , and Medical Education . Notable projects include Smartkuber (a cognitive health game for the elderly) and AR applications for neurosurgical training. He has collaborated extensively on gamification strategies in healthcare and software education. His publications span topics like volumetric terrain rendering, cognitive screening via games, and educational game design. His work emphasizes bridging technology with healthcare and education through immersive experiences.

• Fluid Mechanics
• Turbulent Flows
• Wind Energy
• +۳ مورد دیگر

Leon Li is a Research Fellow in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), conducting experimental research on wake behaviors of objects ranging from simple geometries to wind turbines under turbulent flow conditions. His work utilizes advanced diagnostics including constant temperature anemometry (CTA), laser Doppler anemometry (LDA), and particle image velocimetry (PIV) in a water channel facility with active turbulence control. His research interests focus on Fluid Mechanics, Turbulent Flows, and Wind Energy, with specific expertise in aerodynamic interactions, wake dynamics, and air-water interface phenomena. Li employs experimental methodologies to investigate how freestream turbulence influences pressure distributions, vortex structures, and energy transfer mechanisms in complex fluid systems. Analysis of his 11 publications from 2019-2025 reveals consistent emphasis on experimental fluid dynamics applications in renewable energy and environmental systems, particularly wind turbine aerodynamics and turbulence-gas transfer relationships. His collaborative work demonstrates methodological rigor in turbulence generation and flow measurement techniques. Li operates within NTNU's experimental facility at Strømningsteknisk, Gløshaugen, where he utilizes active grid systems in water channels to simulate controlled turbulent environments for studying object-fluid interactions across multiple scales.

• Combustion Diagnostics
• Laser-induced Incandescence
• Thermometry
• +۳ مورد دیگر

Qian Wang is a Researcher at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Their research focuses on combustion diagnostics, laser-based measurement techniques, and advanced imaging systems for fluid dynamics analysis. Key areas include soot characterization, flame tomography, and the development of cost-effective diagnostic tools. Research interests encompass combustion kinetics, thermometry, and particle dynamics, with applications in propulsion systems and material science. Recent work emphasizes the use of machine learning and deep learning for data-driven diagnostics, particularly in turbulent combustion environments. Publications highlight innovations in volumetric reconstruction, time-resolved imaging, and optimization of optical systems under constrained conditions. No scientific awards are mentioned in the provided text. Qian’s work involves collaboration with engineering teams to advance combustion diagnostics through interdisciplinary approaches, though specific grants or advising roles are not detailed here.

Maja Amedjkouh Puchadesمشاهده پروفایل

پژوهشگر

• Neurodegenerative Diseases
• Neuroimaging
• Bioinformatics
• +۳ مورد دیگر

Maja Amedjkouh Puchades is a Senior Researcher at the Neural Systems group within the Institute of Basic Medical Sciences at the University of Oslo (UiO). She holds a PhD from the Sahlgrenska Academy, University of Gothenburg (2003), and has held postdoctoral and research positions at institutions in Sweden and Norway. Her primary affiliation is the Faculty of Medicine at UiO, focusing on neurodegenerative diseases (Alzheimer’s, Parkinson’s, Huntington’s), neuroimaging software development, and data curation for initiatives like the Human Brain Project. She is a key contributor to rodent brain atlasing projects and neuroinformatics tools. Education and Career - PhD in Neuroscience, Sahlgrenska Academy (2003) - Visiting scholar at MD Anderson Cancer Center (2003) - Postdoc positions at Sahlgrenska Academy (2004–2006) and University of Gothenburg’s Chemistry Department (2007–2009) - Senior Researcher at UiO since 2015. Research Interests Dr. Puchades specializes in neurodegenerative disease mechanisms, analytical software for brain image analysis, and large-scale data curation. Her work bridges experimental neuroscience with computational tools, emphasizing standardized brain atlases for spatial and temporal data integration. Key areas include: Development of tools for rodent brain image registration (e.g., QuickNII) Analysis of genetic diversity impacts on Alzheimer’s mouse models 3D atlasing of brain structures (pituitary gland, zincergic pathways) Collaborations Active partnerships with institutions including Jackson Laboratory (USA), Leipzig University (Germany), and Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany). Her work aligns with EU’s Human Brain Project and the BRAIN Initiative’s cell census efforts. Labs/Teams Core member of the Neural Systems group at UiO’s Institute of Basic Medical Sciences. Involved in EBRAINS infrastructure development for brain research.