جست‌وجوی استاد و پژوهشگر

Ingvild Berganمشاهده پروفایل

استادیار

• Educational Technology
• Guidance Pedagogy
• Professional Development for Educators
• +۳ مورد دیگر

Ingvild Bergan is an Assistant Professor at the Department of Education , University of Agder, specializing in guidance pedagogy and digital competence development . She holds a general teacher qualification from UiA/UiO, a master's in religion, ethics and society (UiA), interdisciplinary guidance studies (UiT), and project management (BI). Teaches guidance pedagogy for school and kindergarten teachers Leads R&D work in initial teacher education and mentor education Co-leader of Practice, Teaching, Policy in Teacher Education (PUPIL) research group Her research focuses on technology integration and learning design to enhance mentor professional development , with specific emphasis on 360° video and virtual reality (VR) applications. She investigates how digital tools can improve observational learning and competence assessment in educational settings. Recent publications highlight trends in educational technology for mentorship, game-based learning for cultural inclusivity, and digital competence frameworks in teacher education. Her work spans empirical studies, theoretical analyses, and practice-oriented interventions documented in journals like Nordic Journal of Digital Literacy and NORDVEI: Nordic journal in guidance pedagogy . While no explicit scientific awards were mentioned, her extensive collaborative R&D projects (e.g., ProDiG) demonstrate institutional impact. She has no formal student advisement records listed but contributes to professional development through school partnerships.

• Agent-Based Modeling
• Social Simulation
• Urban Systems
• +۳ مورد دیگر

Timo Szczepanska is a postdoctoral researcher at UiT The Arctic University of Norway , affiliated with the Norwegian College of Fishery Science . With expertise in computational modeling and social simulation, Szczepanska contributes to interdisciplinary research bridging technology, environmental science, and urban systems. Current member of the CRAFT research group Active participant in the FUTURES4Fish project Published extensively in journals like JASSS and Frontiers in Marine Science Research Focus: Szczepanska's work explores urban complexity through participatory simulations, develops agent-based models for human behavior analysis, and investigates climate change impacts on fisheries. Key methodological contributions include model reimplementations and integrating creative writing with future scenario planning. Recent Article Trends: Recent publications demonstrate a dual focus on decarbonisation strategies for urban mobility and innovative approaches to fisheries governance under climate change. Methodologically, Szczepanska combines agent-based modeling with game design and creative worldbuilding across multiple domains. Collaborative Networks: Collaborates with international researchers across institutions including Radboud University, Potsdam University of Applied Sciences, and various European research groups. Specializes in translating complex systems into interactive pedagogical tools and policy-relevant simulations. Technical Expertise: Proficient in computational platforms like NetLogo and Unity, with particular emphasis on model documentation, validation, and interdisciplinary translation of technological futures.

Ole Goetheمشاهده پروفایل

دانشیار

• Artificial Intelligence
• User Experience (UX)
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Ole Goethe is an Associate Professor at Kristiania University of Applied Sciences within the School of Arts, Design and Media's Westerdals Department of Film and Media. He holds concurrent roles at NTNU and Nord University. His work bridges academia and industry through research in human-technology interaction, gamification, and inclusive design. Education: Executive Program in Project Management, BI Norwegian Business School (2010-2011) Master's in Motion Picture, Academy of Art University (2004-2008) Bachelor of Arts in Computer Graphics & Minor in Computer Science, Academy of Art University (1997-2002) Research Interests: Focuses on synergized human-technology interactions, inclusive design principles, and gamification applications. Specializes in creating engaging systems that promote diversity, longevity of user engagement, and accessibility. Active in HCI, service design, and AI-driven systems. His work emphasizes ethical UX practices, adaptive game mechanics, and accessibility frameworks to address societal challenges through technology. Article Trends: Recent publications explore 'Attainable Game Experiences' - a framework ensuring inclusive gaming accessibility. Explores universal design principles in XR, exergames, and gamified civic systems. Earlier work covers e-learning gamification challenges and VR embodiment theories. Awards & Recognition: Not explicitly stated in provided texts, but recognized as a Toptal verified expert in design with industry collaborations at Harvard and LucasFilm. Grants & Advising: No specific grants listed. Advised over 15 years across academia and industry, mentoring teams in SaaS, edtech, and game development. Involved in design sprints, user research, and agile methodologies. Labs & Teams: Core contributor to Kristiania's Game Development program and Excited Centre for Excellence in IT Education. Collaborates with industry on projects like Correlate (productivity app) and Picturemarks (digital humanities platform).

• Human-Computer Interaction
• Universal Design of ICT
• Pattern Recognition
• +۴ مورد دیگر

Frode Eika Sandnes is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design , Oslo Metropolitan University , focusing on Human-Computer Interaction and Universal Design of ICT . His research spans innovative interaction techniques, skill reuse, pattern recognition, image analysis, and intelligent systems. Current research trends include accessibility in digital education, lightweight deep learning models, and physical interface usability Recent publications analyze color picker efficiency, 3D-printed prosthetics, and authentication technologies His work integrates interdisciplinary approaches to enhance usability and inclusivity in technology. Notable projects involve automated readability assessments and AI applications in diverse domains like aquaculture and medical diagnostics.

Riccardo Simionatoمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Audio Modeling
• Sound Synthesis
• +۳ مورد دیگر

Riccardo Simionato is a Research Fellow in the Department of Musicology at the University of Oslo (UiO), affiliated with the Faculty of Humanities. He holds a MSc and BSc in Computer Science and Information Engineering from the University of Padova, Italy, and conducted research at Aalto University, Finland (2017–2018). His research focuses on nonlinear audio modeling using deep learning, particularly addressing low-latency interactive solutions for acoustic and electronic musical instruments/devices. Education: 2018: MSc in Computer Science Engineering, University of Padova 2015: BSc in Information Engineering, University of Padova Research Interests: Deep Learning , Audio Modeling , and Sound Synthesis . He explores how deep learning can approximate complex nonlinear phenomena in audio systems, balancing computational efficiency with interpretability. Recent work emphasizes hybrid neural-audio effects, time-variant systems, and physics-informed methods for piano modeling. Publications highlight advancements in optical compressor modeling, piano analysis, and tools for generating audio effect datasets. His work bridges machine learning and music technology, aiming for practical applications in real-time audio processing and electronic instrument emulation. Grants and advising: No specific grants or student advisees listed in the provided text. Collaborations include projects with Prof. Stefano Fasciani and teams at UiO’s Department of Musicology. Labs/Teams: Active within UiO’s Sound and Music Computing research group, focusing on interdisciplinary projects combining computer science and music technology.

• Quality of Experience (QoE)
• User Experience (UX)
• Cybersecurity
• +۶ مورد دیگر

Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.

• Computational Physics
• Density Functional Theory (DFT)
• Atomistic Simulations
• +۹ مورد دیگر

Jaakko Akola is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational materials science, particularly density functional theory (DFT) and atomistic simulations of materials, nanoparticles, molecules, and interfaces. He leads significant projects such as "SIDI" (inoculation in cast iron), "Infinity-RETIS" (chemical rare events), and "AllDesign" (rational alloy design), alongside coordinating EU-funded initiatives like "CritCat" for catalyst development. The Materials Theory group under Akola employs DFT, molecular mechanics, and Monte Carlo methods to explore atomic-scale structures and functions in technological applications. Key research areas include platinum-free catalysts for hydrogen energy, amorphous semiconductors for memory devices, noble metal nanoparticles in biological environments, and alloy design for cast iron and aluminum. Recent work integrates machine learning to advance theory-driven material design, reducing reliance on experimental trial-and-error. Akola's publications highlight advancements in hydrogen evolution catalysis, phase-change memory materials, and alloy precipitation. His projects often involve interdisciplinary collaborations with experimental teams. He teaches Quantum Physics 1 (FY2045) and Computational Physics (TFY4235) at NTNU, reflecting his commitment to education alongside research.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

• Computational Neuroscience
• Neural Network Simulation
• Large-Scale Simulation
• +۳ مورد دیگر

Hans Ekkehard Plesser is a Professor at the Department of Data Science, Norwegian University of Life Sciences (NMBU). His work focuses on computational neuroscience, large-scale neural network simulations, and advancing reproducibility in computational research. He is a key contributor to the NEST simulator, a widely used open-source tool for modeling spiking neural networks. His research spans theoretical and applied aspects of neuroscience, including neuron-astrocyte interactions, connectivity patterns in neural networks, and high-performance computing strategies for brain-scale simulations. He emphasizes reproducible computational practices through initiatives like the ReScience project, promoting transparency and validation in scientific software. His publications highlight advancements in simulation methodologies, algorithm optimization, and the integration of supercomputing resources for neuroscience. He has contributed to foundational work on spiking neuron dynamics, firing-rate models, and the theoretical underpinnings of neural network behavior.

• Project management
• Human judgment
• Digitalization in the public sector
• +۵ مورد دیگر

Magne Jørgensen serves as a Research Professor in the Department of IT Management at Simula Metropolitan, a research center operated by Simula Research Laboratory in collaboration with Oslo Metropolitan University. His work bridges academic research and practical public sector IT implementation, focusing on evidence-based solutions for digitalization challenges. His research centers on critical gaps in software project management, particularly examining human judgment biases in estimation, benefits realization frameworks for agile public sector projects, and the statistical properties of software productivity distributions. He investigates how front-end project phases impact success in Norwegian government IT initiatives and develops methods for more accurate cost-benefit analysis in digital transformation. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Agile adaptation challenges in public sector contexts, (2) Empirical studies of productivity variation and estimation bias, and (3) Benefits management frameworks connecting technical delivery to organizational outcomes. His work consistently employs mixed-method approaches combining systematic literature reviews with Norwegian case studies. Jørgensen actively contributes to the EDOS research center at SimulaMet, collaborating with public sector agencies like NAV and the Ministry of Finance. His frequent presentations at governmental seminars (e.g., for Statsministerens kontor and Finansdepartementet) demonstrate direct policy impact, while his Norwegian-language publications target local practitioners through outlets like Magma and Stat & Styring.

• Sustainable urban transport
• Urban form
• Land use planning
• +۷ مورد دیگر

Yngve Karl Frøyen is a Professor at the Department of Architecture and Planning within the Faculty of Architecture and Design at the Norwegian University of Science and Technology (NTNU). Since 2010, he has taught and coordinated spatial and transport planning in the master's program in physical planning, while also leading GIS and geodata activities across academic programs. His research focuses on sustainable urban transport , emphasizing walking, cycling, and public transit as tools to enhance urban systems. He investigates how urban form —including land use, density, and functional mix—affects travel behavior, with specific projects on retail location transport impacts, cycling infrastructure modeling, and park-and-ride solutions in urban peripheries. Key trends in his recent publications include urban ecology , smart city geospatial analysis , and pedestrian/cycling mobility . His work integrates GIS, accessibility metrics, and land use-transportation interdependencies, reflecting collaborations with institutions like SINTEF and Asplan Viak. Doctoral training in transport economics and impact analysis 9-year research at the Norwegian Institute of Urban and Regional Research (NIBR) Consulting and project management in transport modeling, electronic ticketing, and GIS applications Contributions to Norwegian transport policy frameworks

David Landa Marbanمشاهده پروفایل

پژوهشگر

• Mathematical Modelling
• Subsurface Processes
• Carbon Capture and Storage (CCS)
• +۴ مورد دیگر

David Landa Marban is a Researcher at NORCE Research AS, affiliated with the Energy and Technology division. His primary focus is on mathematical modeling and simulation of subsurface processes, including applications in CO2 storage (CCS), microbial enhanced oil recovery (MEOR), and microbially induced calcite precipitation (MICP). He has expertise in scientific computing, software development for multi-phase flow and reactive transport, and numerical simulations at pore, core, and field scales. Education: PhD in Applied Mathematics from the University of Bergen (2019), followed by a postdoctoral position at NORCE (2019-2021). Current role as a Research Scientist since 2022. Research interests emphasize computational geosciences, with projects such as MuPSI (multiscale pressure-stress impacts on CO2 storage) and CSSR (sustainable subsurface resources). He develops open-source tools like pyopmspe11 and contributes to frameworks like OPM Flow for reservoir simulation and history matching. Key contributions include modeling pressure interference in CO2 storage, machine-learned near-well models, and data-driven predictions for CO2 EOR. His work bridges lab-scale experiments with field-scale applications, addressing challenges in subsurface energy systems and leakage remediation.

• Biomass Gasification
• Computational Fluid Dynamics
• Combustion Engineering
• +۵ مورد دیگر

Tian Li is an Adjunct Associate Professor at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Based at the Varmeteknisk building on the Gløshaugen campus, Dr. Li is affiliated with the ComKin Group and has been actively involved in numerous research projects focused on biomass conversion and combustion technologies since 2011. Dr. Li's research primarily focuses on: Biomass gasification and combustion technologies Computational Fluid Dynamics (CFD) modeling of energy conversion processes Multiphase flow and reaction kinetics in thermochemical processes Turbulence modeling in combustion systems Development of simulation tools for bioenergy applications Over the past decade, Dr. Li has led or contributed to multiple significant research projects funded by the Norwegian Research Council and industrial partners, including BioCarbUp, GASPRO, GrateCFD, GAFT, BioCarb+, CenBio, and GasBio. These projects have focused on optimizing biomass conversion processes for sustainable energy production. Dr. Li's publication record shows consistent contributions to high-impact journals in the energy and combustion fields, with a strong emphasis on computational modeling approaches. The research demonstrates expertise in developing and validating models for biomass conversion processes, with applications ranging from industrial-scale biomass furnaces to fundamental particle-level phenomena. Dr. Li has developed significant expertise in various computational tools and programming languages: Software: OpenFOAM, ANSYS Fluent, ANSYS ICEM CFD, Star-CD, MFiX, CHEMKIN, LOGEsoft, LabVIEW Programming: C/C++, Python, Fortran, Matlab Through participation in major research centers like CenBio (Bioenergy Innovation Centre), Dr. Li has contributed to advancing Norway's bioenergy research capabilities and fostering collaboration between academia and industry in the sustainable energy sector.

Thor I. Fossenمشاهده پروفایل

استاد

• Guidance, Navigation, and Control (GNC)
• Marine Hydrodynamics
• Inertial Navigation Systems
• +۷ مورد دیگر

Thor I. Fossen is a Professor of Guidance, Navigation, and Control at the Norwegian University of Science and Technology (NTNU), Department of Engineering Cybernetics. He holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His research focuses on marine craft hydrodynamics, autonomous systems, inertial navigation, and cybersecurity of control systems. He is an IEEE Fellow and has authored influential textbooks such as the Handbook of Marine Craft Hydrodynamics and Motion Control . **Education**: PhD Eng. Cybernetics, MSc Marine Technology. **Research Interests**: Development of guidance, navigation, and control (GNC) systems for marine and aerial vehicles; cybersecurity for autonomous systems; inertial navigation algorithms; and robotics. Notable contributions include the Marine Systems Simulator (MSS), a widely used MATLAB/Simulink toolbox for vehicle control design. **Recent Trends in Publications**: Focus on autonomous surface/underwater vehicles, adaptive guidance laws, cyber-resilient navigation, and sensor fusion techniques. His work bridges theory and practice, with experimental validations on real systems. **Awards**: Automatica Prize Paper Award (2002), Arch T. Colwell Merit Paper Award (2008), IEEE Fellow (2020+). **Grants & Labs**: Co-founder of Marine Cybernetics AS and ScoutDI AS. Lead developer of MSS software. Active in collaborative projects involving dynamic positioning, wave filters, and cyber-physical systems security.

• Human-Computer Interaction (HCI)
• Interaction Design
• User-Centered Design
• +۳ مورد دیگر

Dag Svanæs is a Professor of Human-Computer Interaction (HCI) at NTNU’s Department of Computer and Information Science. His research focuses on embodied interaction, emphasizing the physical, bodily, and social dimensions of human-computer interaction. He developed a usability laboratory for simulating multi-user, multi-device scenarios, particularly in healthcare contexts. His theoretical framework draws heavily from Maurice Merleau-Ponty’s phenomenology, exploring how perception and action shape interaction. Education: PhD in HCI from NTNU (2000). His research areas include interaction design, user-centered methods, and healthcare IT systems design. Key projects include the UNITY-Things IoT framework and exergame development for balance training in seniors. Research Highlights: Svanæs pioneered participatory design methodologies in healthcare IT, emphasizing end-user involvement through role-play and prototyping. His work on pandemic policy critiques and lockdown strategies demonstrates interdisciplinary collaboration between HCI and public health. Publications: Over 50 peer-reviewed articles in venues like Computer Supported Cooperative Work , Frontiers in Computer Science , and IEEE Transactions . Recent work addresses exergame design, pandemic response systems, and embodied interaction theory. Grants & Labs: Built NTNU’s Health Informatics Usability and Design Lab. Collaborates with academic and healthcare institutions on projects like the NSEP (Norwegian Center for Electronic Patient Records).