جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Medical Technology
• Knowledge-Based Systems
• +۳ مورد دیگر

Asma Belhadi is a Postdoctoral Fellow at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Computer Science. Her research focuses on Applied Artificial Intelligence, bridging domains like Neuroscience, Medical Technology, and Intelligent Transportation Systems through innovative methodologies such as Visual Transformers, Federated Learning, and Graph Algorithms. Primary affiliation: Oslo Metropolitan University Academic discipline: Computer Science Research areas: Deep Learning, Explainable AI, Biomedical Signal Processing, Sustainable Systems Her recent work explores cross-domain applications including: EEG classification using enhanced visibility graphs Medical imaging with ensemble fuzzy deep learning Secure pattern mining for Medical Internet of Things Knowledge-enhanced object detection for agriculture Metaverse security using transformer models and GANs

• Cloud computing
• Cybersecurity
• Software engineering
• +۹ مورد دیگر

Pål Halvorsen is a Professor at the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. He works at the intersection of computer science and applied domains, with a particular focus on multimedia systems, distributed computing, and healthcare applications. Specializes in distributed multimedia systems Active in AI-driven forensic psychology applications Conducts research on medical imaging and diagnostics Develops sports analytics datasets and tools Works on communication and distributed systems His research spans several key areas of computer science, particularly focusing on multimedia systems and their applications in healthcare, sports analytics, and forensic psychology. He leads projects involving AI-driven child avatars for investigative interview training, develops datasets for medical and sports applications, and explores innovative approaches to image analysis and time-series data processing. Recent publications demonstrate strong activity in applying computer vision and deep learning to medical diagnostics, particularly in gastrointestinal tract analysis and ophthalmology. His work on sports analytics includes creating comprehensive datasets for ice hockey and soccer, while his forensic psychology research focuses on AI-enhanced interview training for child abuse investigations. Halvorsen collaborates extensively across disciplines, working with researchers in psychology, medicine, and sports science. His projects often involve developing novel tools for data analysis, including approaches to multimodal data handling, visual deep learning verification, and AI-enhanced prompt generation techniques.

• Robotics
• IoT Security
• Brain-Computer Interfaces
• +۳ مورد دیگر

Dr. Usman Ghafoor is a researcher specializing in robotics, IoT security, and neuroengineering. His work bridges machine learning with biomedical systems, focusing on brain-computer interfaces (BCIs), neuromodulation, and robotic control mechanisms. Key Research Areas: Robotics, IoT Malware Detection, Hybrid EEG-fNIRS Systems, Deep Learning Applications His recent publications highlight interdisciplinary approaches to multibody robot control, neurorehabilitation, and real-time BCI optimization. Collaborative work with experts like Keum-Shik Hong demonstrates his integration into cutting-edge neuroscience and robotics projects. While specific institutional affiliations are not detailed in the provided text, his contributions to journals such as Robotics , Scientific Reports , and Frontiers in Neurorobotics indicate significant academic engagement.

Silvia Francesca Stortiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Brain-Computer Interface
• +۲ مورد دیگر

Prof. Silvia Francesca Storti is a faculty member at the Department of Computer Science , University of Verona , Italy. Her research spans interdisciplinary domains at the intersection of Computer Science and Neuroscience , with a focus on Brain-Computer Interfaces , Machine Learning , and Multimodal Functional Imaging . Recent publications highlight her work in: Predictive modeling of human vigilance in Industry 5.0 environments (2025) Functional connectivity analysis in Alzheimer's disease (2024) Safety-critical systems in Industry 4.0 (2024) Neurophysiological risks in professional divers (2024) Hemispheric differences in visual cortex stimulation (2023) Her research explores both theoretical and applied aspects of neural network dynamics, cortical connectivity inference, and safety-optimized human-machine interaction.

Kåre Mosgrenمشاهده پروفایل

دانشیار

• Multimedia Technology
• E-Learning
• Digital Media Production
• +۴ مورد دیگر

Kåre Mosgren is an Associate Professor at the University of Agder's Department of Information and Communication Technology, specializing in multimedia technology and e-learning. He actively contributes to the Multimedia and e-Learning research group, focusing on innovative digital education tools and media production techniques. His research explores: Multimedia technology for educational enhancement Digital media production workflows and event management 3D tracking systems and interactive visualization Photography and digital image manipulation techniques Science communication through documentary production Analysis of his 14 publications (2004-2014) reveals strong emphasis on: Educational technology development (e.g., video tutorials) Marine science communication projects like MAR-ECO Practical applications in photography and 3D systems Interactive research dissemination methods He maintains professional contact at kare.mosgren@uia.no and works from the Grimstad campus.

Eivind Brodalمشاهده پروفایل

دانشیار

• Heat pumps
• Process modeling and optimization
• Energy efficiency
• +۳ مورد دیگر

Eivind Brodal is an Associate Professor at UiT The Arctic University of Norway, affiliated with the Department of Automation and Process Technology. His research focuses on heat pumps, process modeling and optimization, energy efficiency, and carbon capture technologies. Teaches Technical Thermodynamics and Heat Pumping Processes Supervises master's and PhD engineering students His work addresses energy challenges in cold climates, including CO2 liquefaction, LNG cascade processes, and hydrogen pre-cooling optimization. He contributes to advancing refrigeration technologies and sustainable energy systems through computational modeling and industrial applications. Brodal collaborates on energy efficiency projects and co-develops mathematical models for thermal systems. His recent publications emphasize heat exchanger optimization, pinch point analysis, and ambient temperature impacts on process performance. He is a member of the IR, Spectroscopy, and Numerical Modelling Research Group, operating from room 4.024 in Teknologibygget Tromsø.

Sajidah Ahmedمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Nuclear Fusion
• Turbulence
• +۲ مورد دیگر

Sajidah Ahmed is a plasma physicist affiliated with the University of York and actively contributes to nuclear fusion research. Her work focuses on turbulent phenomena in magnetically confined fusion plasmas, particularly the dynamics of scrape-off layer (SOL) fluctuations and their impact on plasma-wall interactions. Doctoral research (2023) on Intermittent fluctuations in the boundary of magnetically confined fusion plasmas . Published studies in leading fusion journals on topics such as filament propagation, MHD instabilities, and pulse superposition modeling. Research Highlights: Her research addresses critical challenges for commercial fusion reactors, including: Characterizing blob-like turbulent structures in SOL regions. Reconstructing intermittent time series using deconvolution methods. Investigating density limits and plasma confinement in devices like Alcator C-Mod and MAST Upgrade.

• Civil Engineering
• Structural Engineering
• Machine Learning Applications in Construction
• +۴ مورد دیگر

Afaq Ahmad is a Postdoctoral Fellow at Oslo Metropolitan University , affiliated with the Faculty of Technology, Art and Design and the Department of Built Environment. His research focuses on the intersection of civil engineering, structural analysis, and machine learning applications. Institution: Oslo Metropolitan University Department: Built Environment Afaq's work examines hybrid concrete technologies, fiber-reinforced composites, and structural health monitoring using advanced computational methods. He specializes in applying image processing and neural networks to evaluate concrete properties and defects. His recent publications highlight innovations in engineered cementitious composites for masonry, symbolic matrix structural analysis for beams, and machine learning-driven assessments of concrete columns and wooden structures. Key trends include non-destructive testing and predictive modeling for infrastructure resilience. Research activities span from 2022-2025 , with 15 representative articles demonstrating expertise in: Concrete material science and failure analysis Machine learning integration in structural engineering Seismic performance evaluation Hybrid composite reinforcement systems His work frequently combines computer vision techniques with civil engineering challenges, particularly in defect detection and load capacity prediction.

• Medical Robotics
• Neuroengineering
• Computer-Assisted Surgery
• +۳ مورد دیگر

Elena De Momi is an Assistant Professor in the Electronic Information and Bioengineering Department at Polytechnic University of Milan, where she co-founded the Neuroengineering and Medical Robotics Laboratory in 2008 and leads the Medical Robotics section. She also serves as Specialty Chief Editor for Biomedical Robotics at Frontiers in Robotics and AI. Her educational background includes: MSc in Biomedical Engineering (2002) PhD in Bioengineering (2006) Dr. De Momi's research focuses on medical robotics, neuroengineering, and computer-assisted surgery. She pioneers autonomous robotic systems for minimally invasive procedures, integrating computer vision, machine learning, and surgical expertise to enhance precision in interventions like fetoscopy and neurosurgery. Her work bridges engineering innovation with clinical applications to address challenges in surgical navigation and human-robot collaboration. Analysis of her 2023 publications reveals dominant trends in medical image processing for fetal surgery, kinematic analysis of movement under gravitational forces, and AI-driven surgical assistance systems. Key advancements include deep learning for placental vessel segmentation, real-time stereo depth estimation during operations, and gesture-based autonomous camera control—highlighting her focus on practical robotics solutions for complex surgical environments. She directs the Medical Robotics section within the Neuroengineering and Medical Robotics Laboratory, driving research on surgical robotics platforms, intra-operative imaging systems, and human-robot interaction frameworks for clinical deployment.

• Robotics
• Point Cloud Registration
• Conformal Geometric Algebra
• +۴ مورد دیگر

Adam Leon Kleppe is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences. He works extensively with MANULAB , focusing on robotic welding labs and Industry 4.0 labs , handling procurement, planning, installation, and maintenance. His research spans robotics, geometric algebra, point cloud processing, and automation technologies. Education : Master in Engineering Cybernetics with a specialization in robotics from NTNU (2013); Ph.D. (2018) on Point Cloud Registration for Assembly using Conformal Geometric Algebra. Research Interests revolve around robotics, including inverse kinematics, point cloud alignment, obstacle detection, and geometric algebra applications. He also explores automation in manufacturing and aquaculture, such as deformable body modeling for salmon equipment testing and machine vision for fish bin picking. Publication Trends show a consistent focus on geometric algebra-based solutions for robotic tasks, with recent work extending into biomechanical simulation and aquaculture automation. Teaching includes courses like Mechatronics and Systems Integration , Automation and Mechatronics , and Industrial Control Systems . He also contributes to outreach via program management for AI videos on platforms like YouTube and LinkedIn.

• Materials Science
• Electron Microscopy
• Nanomaterials
• +۴ مورد دیگر

Per Erik Vullum is a Professor at the Norwegian University of Science and Technology (NTNU) with extensive research contributions in materials science, electron microscopy, and related fields. His work spans multiple disciplines including battery technology, semiconductor research, and crystallography. Dr. Vullum's research focuses on atomic-scale imaging , nanomaterials characterization , and advanced electron microscopy techniques . He has made significant contributions to the development of Atomap, a software tool for automated analysis of atomic resolution STEM images. His work bridges fundamental materials science with practical applications in energy storage, semiconductor technology, and advanced manufacturing. His publication record shows consistent high-impact research output with recent work (2022-2024) focusing on: Atomic-scale 3D imaging of dopant atoms in oxide semiconductors Advanced characterization of MXene materials Intermetallic phase growth in dissimilar metal joining Ferroelectric materials with tetragonal tungsten bronze structures Dr. Vullum has received recognition through numerous peer-reviewed publications in high-impact journals, demonstrating his standing in the materials science community. His collaborative work spans multiple departments and institutions, reflecting the interdisciplinary nature of modern materials research. His research has important implications for clean energy technologies, advanced electronics, and materials characterization methodologies. The development of Atomap has particularly enhanced the field's ability to extract meaningful data from complex atomic resolution images.

• Geophysics
• Seismic Monitoring
• CO2 Storage
• +۵ مورد دیگر

Martin Landrø is a Professor at the Department of Electronic Systems , Norwegian University of Science and Technology (NTNU). He specializes in geophysics, seismic monitoring, and fiber optic sensing technologies, with a focus on CO2 storage, oceanographic processes, and petroleum engineering applications. His research spans environmental monitoring, reservoir characterization, and subsurface analysis. Key projects include: DigiMon - Digital Monitoring of CO2 Storage Projects GeoEnhance Consortium - Integration of Sedimentology and Seismic for Enhanced Reservoir Characterization Research trends: Recent publications highlight his work on distributed acoustic sensing (DAS), subsurface CO2 injection monitoring, ocean surface wave dynamics, and low-frequency seismic analysis for subsea oilwell operations. His projects bridge geophysical forecasting, environmental engineering, and advanced sensor technologies. Collaborations: Active in NTNU's scientific community, he collaborates with institutions like NORCE Norwegian Research Centre AS and contributes to SPE Journal and EAGE Annual Meeting publications.

• Nutrition Science
• Physiology
• Neuroscience
• +۳ مورد دیگر

Johannes le Coutre is a Senior Research Scientist and Head of Perception Physiology at the Nestlé Research Center in Lausanne, Switzerland, since 2000. His work bridges nutrition science, physiology, and neuroscience, focusing on sensory processing and metabolic regulation. Education : PhD from Max Planck Institute for Molecular Physiology (1995) Postdoctoral : HHMI/UCLA (1996-2000) Research Interests : His research explores the intersection of nutrition science, food technology, and neurophysiology. He investigates how sensory systems influence metabolism and appetite, with recent projects on cell-based meat bioscaffolds and TRP channels in metabolic regulation. His work also addresses global nutrition policy and obesity interventions. Publications : His articles span Food Science, Neuroscience , and Endocrinology , focusing on cell-based meat , metabolic disorders , and neural dynamics in eating behavior . Key subfields include TRP channels , sensory physiology , and public health nutrition . Editorial Contributions : He serves as Field Chief Editor for Frontiers in Nutrition , shaping discourse in nutrition science and policy.

Anita Torabiمشاهده پروفایل

استاد

• Structural Geology
• Fault Mechanics
• Fluid Flow in Deformed Reservoirs
• +۶ مورد دیگر

Anita Torabi is a Professor in Structural Geology at the University of Oslo , affiliated with the Department of Geosciences. Her research focuses on structural geology, fault mechanics, fluid flow in deformed reservoirs, CO2 storage, geothermal reservoirs, and seismicity. She employs advanced methods such as 3D seismic analysis, fault asperity studies, and machine learning for geological applications. Key affiliations: University of Oslo, NORCE (2015-2018), Uni Research CIPR (2008-2018) Education: PhD in Geosciences (2008) - University of Bergen Research Interests include: Fault mechanics and deformation processes Fluid flow in faulted reservoirs CO2 storage and green energy solutions Geomechanics and seismic risk assessment Machine learning in structural geology Basement rock fracture analysis Recent Publications highlight trends in: 3D fault characterization using deep learning Fluid dynamics in siliciclastic-carbonate systems Seismic attribute analysis for fault geometry Compaction bands in Tertiary-Quaternary sequences Ontology-driven geological modeling Machine learning applications for CO2 storage Research Leadership includes projects such as: CO2 Seal and Bypass – COPASS CO2SafeQuest (fault behavior for CO2 storage) gigaCCS@UiO (Center of Excellence in Carbon Capture) VICCO (volcanic-sedimentary CO2 storage) Pool Studies CO2 Storage research group

Turid Birgitte Boyeمشاهده پروفایل

عضو هیئت علمی

• Mental Health in Somatic Illness
• Psychosocial Aspects of Somatic Illness
• Neuropsychiatry
• +۵ مورد دیگر

Turid Birgitte Boye is a Professor II at the Department of Behavioral Medicine, University of Oslo, specializing in the psychosomatic and neuropsychiatric aspects of somatic illnesses . Her research bridges mental health with physical conditions, focusing on disorders like bipolar disorder, schizophrenia, and inflammatory bowel disease . As a psychiatrist and clinical researcher, she integrates neuroimmunology, brain imaging, and psychosocial factors into her work.