جست‌وجوی استاد و پژوهشگر

Mehdi Elahiمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analytics
• Recommender Systems
• +۷ مورد دیگر

Mehdi Elahi is a Professor at the University of Bergen (UiB), affiliated with the Department of Information Science and Media Studies . With a Ph.D. in Computer Science, he has published over 100 peer-reviewed papers and co-invented a US patent in Recommender Systems. As a Work Package Leader in the MediaFutures project (NOK 300M budget, 8-year duration), he collaborates with Norwegian media giants and global companies like Spotify and XING. Research Interests : AI and Data Analytics, focusing on industrial applications in Recommender Systems, algorithmic fairness, and media technology. His work addresses challenges like popularity bias, cold start problems, and integrating visual/audio features into recommendation algorithms. Article Trends : His recent publications emphasize responsible AI , popularity bias mitigation , visual feature integration , and hybrid recommendation models . Key collaborations include Amazon, TV 2, and the Research Council of Norway . Scientific Awards : Prestigious research credits from Amazon Advising : Supervised 7+ theses on topics like news recommendation , movie analytics , and food RS . Key advisees include Vanessa Haaland (2024), Sebastian Bergh (2023), and David Olsen (2022). Projects : Leads MediaFutures, a large-scale initiative with industry-academia partnerships.

• Hydropower
• Fluid Mechanics
• Turbine Technology
• +۱ مورد دیگر

Ole Gunnar Dahlhaug is a Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering under the Faculty of Engineering. His research focuses on hydropower systems, fluid mechanics, turbine technology, and energy engineering. He leads the Hydropower Laboratory (Vannkraftlaboratoriet) and investigates advanced topics such as turbine efficiency optimization, sediment erosion mitigation, and environmental impacts of hydropower operations. His work addresses challenges in Francis and Pelton turbine design, including blade erosion, flow dynamics, and predictive maintenance strategies. Recent studies explore ultrasonic degassing methods to reduce dissolved gas supersaturation downstream of hydropower plants, enhancing ecosystem protection. Dahlhaug also contributes to interdisciplinary projects on flexible turbine operation and digital twin technologies for hydropower systems. Publications emphasize experimental and numerical methods, with a focus on leakage flow analysis, vortex generators, and condition monitoring systems. Collaborations span global institutions, addressing hydropower challenges in regions like Nepal and Europe. His research bridges academic innovation with industrial applications, promoting sustainable energy solutions.

• Industrial Heat Transfer
• Heat Exchangers
• Convection & Radiation
• +۴ مورد دیگر

Erling Næss is a Professor in the Department of Energy and Process Engineering at NTNU. His research focuses on industrial heat transfer, including convection, boiling, condensation, and heat exchanger design. He has collaborated on projects involving hydrogen storage, phase change materials, and geothermal systems. His work often involves experimental validation and numerical modeling, addressing challenges in heat transfer optimization and energy efficiency. Key research areas include: Heat exchanger performance and fouling mitigation Thermal-fluid dynamics in complex geometries Supercritical fluid applications Phase change material integration in energy systems Recent publications emphasize experimental and numerical studies of silica nanoparticle deposition, cavity channel flow dynamics, and heat recovery system optimization. His contributions span academic journals like Applied Thermal Engineering and International Journal of Hydrogen Energy .

• Biophysics
• Polymer Physics
• Hydrogel Characterization
• +۵ مورد دیگر

Bjørn Torger Stokke is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU) . His research focuses on biophysics at the intersection of life sciences and engineering, with emphasis on the physical properties of biological macromolecules and their assemblies, such as hydrogels. Key areas include biopolymer interactions, polyelectrolyte complexes, and responsive hydrogels as biosensors. His work employs advanced techniques like atomic force microscopy (AFM), total internal reflection fluorescence microscopy (TIRFM), and dynamic force spectroscopy. Collaborations with NTNU NanoLab enable microfluidic chip fabrication for hydrogel research. Notable projects include studying amyloid structures, Toll-like receptors, and enzymatic mode-of-action through combined experimental and computational approaches. Publications span topics like hydrogel characterization, cancer cell mechanics, and plant cell wall analysis. His research bridges material science with biomedicine, addressing applications in diagnostics and therapeutics. Collaborations span national and international institutions, emphasizing interdisciplinarity.

• Combustion Engineering
• Alternative Fuels
• Internal Combustion Engines
• +۳ مورد دیگر

David Robert Emberson is a Professor in the Department of Marine Engineering at NTNU (Norwegian University of Science and Technology). His research focuses on combustion engineering, alternative fuels, and emissions control in internal combustion engines. He has co-authored numerous studies on topics like HCCI engine performance, biofuel additives, soot emission analysis, and fuel emulsification techniques. Key technical contributions include experimental work on hydrotreated vegetable oils, glycerol emulsions, and stochastic reactor models for bio-producer gas combustion. His work spans both fundamental combustion chemistry and applied engine optimization, with collaborations on projects like Arctic Biodiesel performance (presented at COMODIA 2017). Teaching responsibilities include advanced marine engineering courses (e.g., TMR4535, TMR4280) covering propulsion systems, fuel technology, and environmental impacts. His research integrates optical diagnostics, numerical simulations, and experimental validation to address challenges in sustainable engine design.

• Computer Science
• Software Engineering
• Process Analysis
• +۵ مورد دیگر

Associate Professor Patrick Stünkel is affiliated with the Western Norway University of Applied Sciences (HVL) within the Department of Computer Science, Electrical Engineering and Mathematical Sciences. He has taught courses such as ING301: Computer Science and Advanced Programming for Engineers (Spring 2026). His research focuses on Computer Science , particularly in Software Engineering , Formal Methods , and Multi-Modeling . Key Research Areas Control Flow Analysis for BPMN Models Runtime Verification of Timed Petri Nets Behavioral Consistency in Multi-Modeling Process Data Science in Digital Pathology Comprehensive Systems for Multi-Model Consistency Publications Trends 2024 works emphasize BPMN validation , visual debugging tools , and timed Petri net verification . 2023-2022 research explores pathology workflow optimization and multi-model consistency frameworks . Earlier works (2017-2020) address graph rewriting , model repair , and database refactoring tools .

• Model-Driven Engineering
• Formal Methods
• Business Process Modeling
• +۵ مورد دیگر

Professor Yngve Lamo is a faculty member at Western Norway University of Applied Sciences (HVL) in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. His research spans formal methods, model-driven engineering, and healthcare information systems with a particular focus on business process modeling and mental health technology applications. Institution: Western Norway University of Applied Sciences Department: Computer Science, Electrical Engineering and Mathematical Sciences Location: Bergen KRONSTAD D410 Contact: +47 55 58 75 67 Professor Lamo's research focuses on formal methods in software engineering, particularly model-driven engineering approaches for business process modeling and analysis. His work demonstrates significant contributions to BPMN formalization using graph transformation systems, multi-model consistency management, and healthcare information systems. He has developed tools like the Visual Debugger and BPMN Analyzer 2.0 that provide practical solutions for model analysis and verification. His publication trends reveal a strong focus on applying formal methods to healthcare systems, particularly in mental health technology. Recent work (2022-2024) shows increasing emphasis on privacy-preserving data analysis, adaptive mental health systems, and multi-dimensional health data frameworks. His research bridges theoretical computer science with practical healthcare applications, demonstrating consistent productivity with numerous publications each year across top venues in software engineering and health informatics. Professor Lamo has made significant contributions to model-driven engineering, particularly in the areas of BPMN analysis, multi-model consistency, and healthcare information systems. His work on the Visual Debugger tool and BPMN Analyzer 2.0 represents practical applications of his theoretical research in formal methods. His research program demonstrates strong continuity in model-driven engineering approaches while expanding into healthcare applications. Current projects focus on adaptive technology for mental health care, privacy-preserving data analysis for health systems, and advanced techniques for multi-model consistency management. Professor Lamo's work shows strong interdisciplinary collaboration, particularly between computer science and healthcare domains.

• Geomatics
• Structural Engineering
• Offshore Engineering
• +۵ مورد دیگر

Stig Frode Samnøy is an Assistant Professor at the Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences (HVL). His expertise spans geomatics, structural engineering, and biomedical imaging applications. Research Interests: 4D cardiac MRI analysis, multi-sensor landslide monitoring, structural dynamics, and 3D cultural heritage documentation. Teaching: Courses in Engineering Surveying, Geographic Information Science, Offshore Survey Operations, and Land Administration. His work integrates advanced numerical tools for analyzing complex systems, including offshore structures and cardiac mechanics via magnetic resonance imaging. Publications focus on MRI-based cardiac function visualization and geotechnical monitoring techniques. No scientific awards are explicitly mentioned in the provided text.

• Media Studies
• Journalism
• Gender Perspectives in Media
• +۳ مورد دیگر

Tine Eide is a Lecturer at the Department of Journalism and Media Studies , Faculty of Social Sciences, Oslo Metropolitan University . Her work focuses on media studies, journalism, and gender perspectives in media. She has contributed to research on crisis communication, digital journalism, and content moderation.

• Computational Imaging
• Functional Materials
• Geo Materials
• +۶ مورد دیگر

Dag Werner Breiby is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational imaging, functional materials, geo materials, and advanced microscopy techniques. Research Interests: Breiby's work spans porous media tomography, X-ray diffraction, polymer and composite material analysis, and biomedical imaging. He utilizes neutron and X-ray computed tomography to study fluid dynamics in geomaterials, molecular ordering in thin films, and strain localization in shale. Recent Article Trends: His publications from 2014–2025 emphasize 4D imaging of dynamic processes (e.g., frost heave, drainage in porous media) multiscale X-ray and neutron tomography applications computational imaging in polymers, semiconductors, and biomedical contexts. Key Collaborations: Breiby collaborates with researchers like Kim Robert Bjørk Tekseth, Fazel Mirzaei, and Basab Chattopadhyay, contributing to fields such as CO2 methanation catalysts, perovskite semiconductors, and growth cartilage imaging.

• Porous Media Flow
• Fluid Dynamics
• Electrohydrodynamic Modeling
• +۳ مورد دیگر

Gaute Linga is an Associate Professor at the Department of Physics , Norwegian University of Science and Technology (NTNU). His research focuses on pore-scale fluid dynamics , two-phase flow in porous media , and chaotic mixing phenomena . Key journals: Advances in Water Resources , Nature Physics , Geophysical Research Letters Collaborations: University of Oslo (UiO), Université de Rennes, CNRS Recent work explores capillarity-driven mixing , electrohydrodynamic flow control , and chaotic transport in unsteady flows , with applications to geophysics and materials science. His publications show strong emphasis on experimental-computational synergy (e.g., neutron imaging, phase-field simulations) and nonlinear dynamics in confined systems. No student advising or award information appears in the text.

Marius Aasanمشاهده پروفایل

پژوهشگر

• Bayesian paradigms
• Probabilistic machine learning
• Generative modelling
• +۱۵ مورد دیگر

Marius Aasan is a Machine Learning Researcher and PhD Candidate at the Department of Informatics, University of Oslo. He is affiliated with the Digital Signal Processing and Image Analysis (DSB) group and the Visual Intelligence (VI) research center. BSc in Mathematics and Informatics (MAMI) from University of Oslo MSc in Data Science from University of Oslo His research spans probabilistic machine learning, generative models, and invertible neural networks (INNs), with applications to imaging and inverse problems. He explores attention mechanisms in vision transformers and representation learning, integrating contextual priors into deep learning. Mathematically, he focuses on representation theory, manifolds, and generalized Fourier analysis. His recent work includes advancements in vision transformers for image tokenization, graph neural networks for visual question answering, and methods bridging densely connected networks with INN/Normalizing Flow architectures. He is part of the DSB research group and contributes to the Visual Intelligence (VI) center, focusing on research-based innovation in informatics.

• Film Festivals
• Digital Humanities
• Gender Equity
• +۳ مورد دیگر

Summary Skadi Loist is an Associate Professor of Film Studies at NTNU’s Department of Art and Media Studies within the Faculty of Humanities. Their research focuses on film festivals, digital methods, gender equity, queer cinema, and sustainability in screen industries. They hold a PhD from the University of Hamburg and have held academic positions at institutions like Film University Babelsberg KONRAD WOLF (2018–2025) and the University of Rostock (2014–2018). Education PhD in Media Studies, University of Hamburg (2015) Studies in Media Culture, American Studies, Gender Studies, and Art History at the University of Hamburg and Smith College Research Interests Loist’s work combines quantitative and qualitative methods to analyze film festival networks, gender inequality in media industries, queer film infrastructure, and sustainable production practices. They co-founded the Film Festival Research Network (FFRN) and the European University Film Award (EUFA), and serve on editorial boards for NECSUS and Journal of Festive Studies . Publications & Projects Recent work includes the Gender Equity Policy (GEP) Analysis project (2021–2024) and the Film Circulation initiative (2017–2022), which created a global dataset on festival film paths. Their textbook Film Festivals: History, Theory, Method, Practice (Routledge 2016) is widely used. Advising & Grants Loist supervises PhD theses on topics like Jewish film festivals, queer cinema, and gender policy in German film. They’ve led projects funded by BMBF, DFG, ESRC, and SSHRC, focusing on digital humanities and equity in media industries. Labs/Teams Core member of the QUADRIGA Berlin-Brandenburg Digital Humanities initiative (2023–2026) and collaborator in the Kinomatics global cinema research network.

• Neuropsychology
• Developmental Psychology
• Child Neuropsychology
• +۷ مورد دیگر

Audrey van der Meer is a Professor of Neuropsychology at NTNU’s Department of Psychology within the Faculty of Social and Educational Sciences. She holds an MSc in Human Movement Sciences (Psychology and Philosophy) from Vrije Universiteit Amsterdam (1988) and a PhD in Experimental Psychology from the University of Edinburgh (1992). Her research focuses on developmental neuroscience, infant perception, and brain plasticity, with a particular emphasis on visual motion perception and prospective control in infants and children. She co-directs the Developmental Neuroscience Laboratory at NTNU, investigating neurodevelopmental principles in early childhood to improve learning outcomes and prevent developmental issues in infants aged 0-3 years. Her work combines EEG studies with behavioral analyses to explore topics like handwriting’s cognitive benefits, neural responses to looming stimuli, and motor stimulation effects on preterm infants. Key areas include the role of optic flow perception in spatial navigation, handwriting’s impact on brain connectivity, and early detection of developmental disorders through EEG biomarkers. Collaborations with husband Ruud van der Weel and teams like Seth Agyei and Stefania Rasulo have produced influential studies on infant cognition and motor control. Her research bridges ecological psychology and neuroscience, emphasizing real-world applications in education and clinical practice. Education MSc in Human Movement Sciences (Psychology & Philosophy), Vrije Universiteit Amsterdam (1988) PhD in Experimental Psychology, University of Edinburgh (1992) Research Themes Infant visual perception and neural development EEG biomarkers for neurodevelopmental disorders Prospective motor control in early childhood Handwriting vs. typing effects on learning Optic flow perception in infants Lab Affiliation Director, Developmental Neuroscience Laboratory (NTNU)

• Porous Media
• Reservoir Engineering
• CO2 Sequestration
• +۴ مورد دیگر

Carl Fredrik Berg is Professor in the Department of Geoscience at the Norwegian University of Science and Technology. His research specializes in subsurface flow characterization using computational methods and digital rock physics approaches. Berg's work focuses on multiphase flow in porous media, CO2 storage applications, reservoir optimization, and digital rock analysis. He develops methods for pore-scale modeling, reservoir simulation, and uncertainty quantification to improve subsurface energy systems. His recent publications address sustainable oil production under carbon constraints, enhanced CO2 dissolution techniques, and advanced image-based permeability estimation. Research demonstrates increasing focus on energy transition challenges through carbon storage optimization and emissions-aware production strategies. Berg leads projects involving virtual drilling procedures for well placement optimization and lattice Boltzmann methods for wettability characterization. He collaborates internationally on pore-scale flow modeling initiatives.