جست‌وجوی استاد و پژوهشگر

• Urban Intelligence
• Smart Cities
• Climate Mitigation
• +۱۱ مورد دیگر

Dirk Ahlers is a Senior Researcher at the Norwegian University of Science and Technology (NTNU) within the Department of Architecture and Planning under the Faculty of Architecture and Design. His work focuses on Smart Cities, Climate Neutral Urban Development, and Urban Digitalization, with significant roles as project coordinator for ClimaGen and project manager for NEB-STAR and Re-Value. He contributes to EU initiatives including the Smart City Marketplace and New European Bauhaus transformations. With a PhD in Computer Science and Geospatial Analysis, he applies computational methods to urban climate action through: Positive Energy Districts Open Innovation Ecosystems Urban Digital Twins Geospatial Data Integration His research spans Climate Mitigation , Sustainability , and Information Retrieval in urban contexts. Key projects include: +CityxChange - Coordinating 33 partners C-valuate - Low-carbon investment tools FME-ZEN - Zero Emission Neighborhoods SCIL - Smart City Infrastructure Lab He organized the LocWeb workshop series at the WWW conference and contributed to standards in: ICT data integration Enterprise architecture for urban systems Smart mobility frameworks

• Pediatrics
• Neurodevelopment
• Neuroscience
• +۳ مورد دیگر

Jon Skranes is a Professor and Head of the Child Habilitation Centre at the Department of Pediatrics, Sørlandet Hospital Arendal, Norway. He also serves as a Senior Paediatrician in the Regional Competence Center for children exposed to prenatal alcohol/drug exposure. His research focuses on neurodevelopmental outcomes in preterm infants, cognitive development in children born very-low-birth-weight (VLBW), and the application of neuroimaging techniques to study brain structure and function. Key interests include working memory training interventions, white matter tract development, and the long-term effects of premature birth on neurological and cognitive health. Skranes has led studies evaluating the efficacy of computerized working memory training in pediatric and elderly populations, and his work frequently integrates MRI and DTI data to explore structural brain changes. He collaborates widely on projects investigating genetic influences on cerebral palsy severity and the neurobiological mechanisms underlying visual-motor deficits in preterm survivors. His contributions also extend to public health initiatives, including developing evidence-based online resources for parental education. His research portfolio includes over 30 peer-reviewed articles between 2011-2016, with a strong emphasis on translational studies bridging clinical paediatrics and neuroscience. Notable themes include cortical thickness trajectories, hippocampal volume correlations with memory function, and the neurodevelopmental origins of lifelong cognitive changes.

• New Product Development
• Engineering Design Thinking
• Human-Machine Interaction
• +۷ مورد دیگر

Martin Steinert is a Professor of Engineering Design and Innovation at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Engineering and the Department of Mechanical and Industrial Engineering. He leads the Design & Engineering research group and heads TrollLABS, a prototyping lab he founded in 2014. His research focuses on the fuzzy front end of product/service development, human-machine interactions in critical environments, and disruptive technology management. Education: Ph.D. in Engineering Design. Affiliations: Norwegian Academy of Technological Sciences (NTVA). Teaching: Courses include Innovation by Design Thinking, Fuzzy Front End Engineering, and Engineering Design Methodology for PhD students. Research Interests: 3D printing and additive manufacturing for medical and aerospace applications. Prototyping methodologies and open-source hardware paradigms. Human factors in remote operations and autonomous systems. Generative AI's role in design innovation and ethical challenges. Articles Trends: Recent work emphasizes blood glucose prediction algorithms, haptic surgical simulations, and material science in 3D printing. Themes include clinical relevance in AI-driven healthcare and low-cost space prototyping. Awards: Top 1% in Mechanical Engineering (Stanford, 2022). Grants: Over $15M from NSF, Swiss NSF, and Norwegian Research Council. Advising: Supervising 9 PhD students and leading international collaborations like the CERN Challenge-Based Innovation program. Labs/Teams: TrollLABS pioneers open-source prototyping tools and hosts hackathons (e.g., IDEA Challenge). Collaborations include Stanford University and CERN.

• Cartography
• Geographical Information Science (GIS)
• Terrain Modelling
• +۴ مورد دیگر

Terje Midtbø is a Professor in the Department of Civil and Environmental Engineering at NTNU, part of the Faculty of Engineering. His research focuses on Cartography, Geographical Information Science (GIS), and spatio-temporal visualization. He leads the 5-year Master's Programme in Engineering and ICT at NTNU and holds leadership roles in organizations like GeoForum (Norwegian Association for Geomatics) and the International Cartographic Association (ICA). His work explores map animations, web-based geographic information distribution, and indoor positioning systems. Notable contributions include studies on hazard map intuitiveness, cartographic terminology standardization, and uncertainty visualization in geoscience contexts. He frequently publishes in journals like Cartography and Geographic Information Science and Journal of Geovisualization and Spatial Analysis . Midtbø has organized and participated in international cartographic events, contributing to the development of the Cartographic Body of Knowledge. His recent work emphasizes digital innovation in mapping, including applications of machine learning in remote sensing and VR/AR interfaces for spatial data.

• Image Processing
• Sea Ice Analysis
• Remote Sensing
• +۴ مورد دیگر

Qin Zhang is a Researcher affiliated with the Norwegian University of Science and Technology (NTNU), Department of Electric Engineering, within the Faculty of Information Technology and Electrical Engineering. His work focuses on developing advanced image processing techniques for analyzing sea ice parameters, including floe size distributions, ice thickness, and concentration. He has authored a notable non-fiction book *Sea Ice Image Processing with Matlab* (2018) and contributed to multiple peer-reviewed journals and conferences. Education: Qin Zhang completed his doctoral dissertation titled *Image Processing for Ice Parameter Identification in Ice Management* at NTNU in 2015. Research Interests: His expertise spans image segmentation, computer vision applications in marine environments, and algorithm development for Arctic operations. He collaborates with interdisciplinary teams to enhance sea ice monitoring systems for safer Arctic navigation and engineering projects. Key Publications: His work includes seminal contributions to IEEE Transactions on Geoscience and Remote Sensing (2015), Cold Regions Science and Technology (2015), and the MIC Journal (2014). He has also presented at conferences like the 36th International Conference on Ocean, Offshore and Arctic Engineering (2017). Awards: No scientific awards explicitly mentioned in the provided text. Advising & Grants: No specific grant information or advisee names are listed here, though his doctoral dissertation suggests prior mentorship in ice management systems. His research likely involves collaborations with marine engineering and environmental science groups. Labs/Teams: While not explicitly stated, his work aligns with NTNU’s initiatives in Arctic technology and marine engineering, likely involving interdisciplinary teams focused on environmental monitoring and robotics.

• Visual Culture
• Media Studies
• Science and Technology Studies
• +۴ مورد دیگر

Aurora Hoel is a Professor of Media Studies and Visual Culture at the Department of Art and Media Studies, Norwegian University of Science and Technology (NTNU). She serves as Co-Director of the strategic research area Ocean and Coast and co-leader of the AI Media research group. Previously, she held positions including Vice Dean of Arts and Innovation at NTNU's Faculty of Humanities (2021-2024), Visiting Professor at Aarhus University (2020), and Marie Skłodowska-Curie Actions Fellow at Humboldt University of Berlin (2015-2017). Her research focuses on the epistemic roles of images and technologies of vision, encompassing photography, medical imaging, underwater robotics, and scientific instruments. Notable projects include the Visualizing the Deep Sea in the Age of Climate Change (2023-2027) and Picturing the Brain (2010-2014). She advocates for theories emphasizing the agency and operational power of images in shaping reality. Her publications span media philosophy, science studies, and visual culture, including works on 'operative images' and 'technicity.' Recent articles explore digital media operations and virtual environments. She co-edited volumes such as Visualization in the Age of Computerization (2014) and Ernst Cassirer on Form and Technology (2012). Hoel’s interdisciplinary work bridges art, science, and technology. She leads collaborations with institutions like Harvard, UC Berkeley, and the National Museum of Justice. Current research includes AI-generated imagery and underwater sensor technologies. Key Projects: Deep Sea Visualization Project (RCN-funded), Styles of Objectivity (EU-funded), Face of Terror (RCN-funded) Research Groups: NTNU’s Ocean and Coast, AI Media Group International Collaborations: Harvard University, University of Copenhagen, École polytechnique

• Industrial Ecology
• Environmental Science
• Sustainability
• +۳ مورد دیگر

Konstantin Stadler is the Manager and Lead Researcher of the Industrial Ecology Digital Laboratory at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). His role involves consolidating digital infrastructure, establishing data exchange standards, and developing tools for environmental analysis. Education: PhD in Neuroscience from Charité Berlin/FU Berlin. His research focuses on environmental and social consequences of economic activities, particularly through Multi-Regional Input-Output (MRIO) analysis and open-source software development. Research Interests: Environmental impact assessment, carbon and resource footprints, sustainability policies, and critical mineral supply chains. He contributes to projects like EXIOBASE, DESIRE, and CARBON CAP, emphasizing data transparency and policy relevance. Articles Trends: Recent work addresses carbon border mechanisms, marine plastic impacts, and toxicity footprints, reflecting his commitment to integrating environmental and social metrics into policy frameworks. His tools (e.g., Pymrio, MarINvaders) enhance accessibility of complex environmental data. Awards: No explicit awards listed, but recognized for contributions to EXIOBASE and open-source initiatives. Advising/Grants: Led FP7 projects (DESIRE, GLAMURS) and contributed to EU-funded research. Advises on software development and MRIO applications. Collaborates with international teams on sustainability challenges. Labs/Teams: Leads NTNU’s Industrial Ecology Digital Laboratory, focusing on innovative environmental analysis tools and data-driven policy solutions.

Nina Køpke Vøllestadمشاهده پروفایل

استاد

• Musculoskeletal Disorders
• Primary Health Care
• Physiotherapy
• +۳ مورد دیگر

Nina Køpke Vøllestad is a Professor at the University of Oslo's Department of Public Health and Interdisciplinary Health Sciences. She leads research on musculoskeletal disorders, rehabilitation, and healthcare systems through projects like FYSIOPRIM. Her work spans physiological mechanisms to health economics, leveraging large electronic health records for clinical trajectory analysis. She co-leads the Center for Sustainable Healthcare Education. Education: Dr. scient. (PhD) in Physiology from the University of Oslo (1985). Academic roles include Head of Department (2004-2014) and Institute Chair (2015-2018). Awards include 'Ryggprisen' (2007) and an education excellence prize (2011). Research interests focus on musculoskeletal pain mechanisms, rehabilitation efficacy, and healthcare prioritization. Over 150 publications analyze pain phenotypes, treatment outcomes, and cross-cultural health disparities. Key projects include the INOREG registry study and STORK Groruddalen cohort examining minority women's health. Grants and collaborations include the Arthritis Research UK Center and the Norwegian Ministry of Health. Supervised numerous studies on pelvic girdle pain, temporomandibular disorders, and chronic pain trajectories. Active in clinical trials for physiotherapy protocols and exercise interventions.

Ragnhild Eskelandمشاهده پروفایل

دانشیار

• Epigenetics
• Chromatin Biology
• Cancer Biology
• +۳ مورد دیگر

Ragnhild Eskeland is an Associate Professor at the Institute of Basic Medical Sciences, University of Oslo (UiO). She holds academic ties with the Faculty of Medicine and leads research on chromatin structure and epigenetic regulation in stem cells and cancer. She has managed significant projects, including the Centre for Cancer Cell Reprogramming (2018-2027) and PharmaTox, focusing on medication safety in pregnancy. Her academic journey includes a PhD from Ludwig-Maximilians University Munich (2006) and postdoctoral research at institutions in Norway and Scotland. Her work integrates techniques like FISH, microscopy, and biochemical methods to study chromatin dynamics, with applications in cancer and developmental biology. Education: Cand. Mag. (Molecular Biology/Chemistry, University of Bergen), PhD (Ludwig-Maximilians University Munich). Key collaborations include Prof. Philippe Collas (UiO), Dr. Tiziana Bonaldi (Italy), and Prof. Kerstin Bystricky (France). Research spans epigenetics, chromatin organization, and cancer biology. Over 40 publications (selected 2017-2023) highlight contributions to chromatin accessibility, transcription factors, and drug toxicity in neuronal cells.

• Bioinformatics
• Genomics
• Evolutionary Biology
• +۹ مورد دیگر

Lex Nederbragt is an Associate Professor at the University of Oslo , affiliated with the Faculty of Mathematics and Natural Sciences and the Centre for Ecological and Evolutionary Synthesis . His work bridges genomics , bioinformatics , and STEM education , focusing on integrating computational methods into bioscience teaching. Email: lex.nederbragt@ibv.uio.no Phone: +47 22844132 Room: 3404 Lex specializes in genomics , particularly teleost fish genetics , genome assembly , and bioinformatics tool development . His research explores evolutionary biology , including immune gene evolution , hybrid speciation , and horizontal gene transfer . He also advances computational education through active learning , reverse instructional design , and Software Carpentry . His recent publications address graph-based genome analysis , genomic repeat landscapes , and pedagogical strategies . He received the Olav Thon Foundation national award for excellence in teaching (2025) and was recognized as a Merittert Utdanner (2023). Co-developer of tools like NucBreak , NucDiff , and khmer . Key contributor to Atlantic cod and grayling genome projects.

Jakub Kopalمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Genetics
• Psychiatry
• +۳ مورد دیگر

Jakub Kopal is a Postdoctoral Fellow at the Centre for Precision Psychiatry, Oslo University Hospital, University of Oslo, holding an MSCA fellowship focused on genetic-brain-behavior relationships. He earned his Ph.D. in neuroscience (2021) through a joint program at the University of Chemistry and Technology, Prague, and Université Toulouse III – Paul Sabatier. His research integrates neuroscience , genetics , and computational psychiatry to investigate how genetic variations—particularly rare mutations—influence brain structure and behavioral outcomes. He emphasizes population diversity to enhance reproducibility in neuroimaging and psychiatric research, with expertise in data visualization and large-scale analytics. Recent publications in Nature Communications , Nature Human Behaviour , and Nature Methods demonstrate his work leveraging multi-omics data to unravel psychiatric disorder mechanisms while advocating for inclusive methodological frameworks in computational neuroscience. Dr. Kopal collaborates within Oslo University Hospital's Precision Psychiatry group, building on prior work with Danilo Bzdok (McGill University) and Sébastien Jacquemont (CHU Saint-Justine) at the neuroscience-genetics interface.

• Linguistics
• Sign Language Research
• Computational Linguistics
• +۳ مورد دیگر

Vadim Kimmelman is a Professor at the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen . His research integrates computational methods with sign language analysis, focusing on formal properties of nonmanual markers and depicting constructions. He collaborates internationally with institutions like the University of Amsterdam (UvA), NTNU, and the University of Western Norway. Active Project : Fundamentals of formal properties of nonmanuals: A quantitative approach (University of Bergen) Completed Projects : Whole-entity classifiers: a multiperspective approach (Center for Basic Research); Signed Language Depiction as an Engine for Promoting Inclusion, Communication, and Translation (DEPICT) (University of Western Norway) Research Trends : Recent publications highlight his interdisciplinary work combining linguistics , computer vision , and machine learning to analyze sign language syntax (e.g., classifier constructions), head pose estimation algorithms, and eye blink detection in sign language corpora. His work addresses both theoretical questions (e.g., language-specific perception of depicting signs) and technological applications. Affiliations : University of Bergen (Department of Linguistic, Literary and Aesthetic Studies), University of Amsterdam (collaborative research), NTNU, and University of Western Norway (DEPICT project).

Annette Kallevigمشاهده پروفایل

دانشیار

• Digital Marketing
• Marketing Communication
• Creativity
• +۶ مورد دیگر

Annette Kallevig is an Associate Professor at Kristiania University of Applied Sciences, affiliated with the Department of Marketing in the School of Communication, Leadership and Marketing. She specializes in digital marketing communication, creativity, and data-driven marketing strategies. Prior to her academic role, she held diverse industry positions including art director, consultant, and entrepreneur across advertising and digital agencies in Norway and the U.S. Her research focuses on integrating creativity with digital strategies, including influencer collaboration, omnichannel marketing, and sustainability in high-end fashion. Recent work explores balancing data analytics with creative processes in agencies and maintaining brand coherence across platforms. No scientific awards are explicitly listed. Her professional experience spans roles such as marketing manager, instructor, and advisor, reflecting her industry-academia bridge. She teaches courses in digital marketing and practice, emphasizing practical application of theoretical concepts.

Johan Lieمشاهده پروفایل

دانشیار

• Mathematics Education
• Computational Thinking
• Interdisciplinary Research
• +۳ مورد دیگر

Johan Lie is an Associate Professor at the Department of Mathematics , University of Bergen. His email is johan.lie@uib.no . He has contributed extensively to mathematics education through interdisciplinary projects and digital tools.

Valeria Vitelliمشاهده پروفایل

دانشیار

• High-dimensional Data Analysis
• Functional Data Analysis
• Bayesian Statistics
• +۶ مورد دیگر

Valeria Vitelli is an Associate Professor in Statistics at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo, where she has been faculty since 2018. Her research spans high-dimensional and functional data analysis, Bayesian methods, clustering, and preference learning. As a Principal Investigator, she leads projects within the Norwegian Centre for Knowledge-driven Machine Learning (Integreat), funded by the Norwegian Research Council. Education: PhD in Statistics, Politecnico di Milano, Italy (2012) MSc in Mathematical Engineering (cum laude), Politecnico di Milano, Italy (2008) Bachelor in Mathematical Engineering (cum laude), Politecnico di Milano, Italy (2006) Dr. Vitelli's research focuses on developing statistical methods for complex high-dimensional data, with applications spanning biomedical research, cancer genomics, and precision medicine. Her work integrates Bayesian inference, machine learning, and functional data analysis to address challenges in modern biostatistics. She has made significant contributions to ranking models, clustering algorithms, and methods for analyzing curves and intrinsically smooth processes. Her publication record demonstrates strong interdisciplinary collaboration across medicine, particularly in cancer research, ophthalmology, and neurology. Recent work shows a clear trend toward developing novel statistical frameworks for integrating complex datasets in precision medicine applications, with emphasis on Bayesian approaches and high-dimensional data analysis. Scientific Recognition: Principal Investigator for the Norwegian Centre for Knowledge-driven Machine Learning (Integreat) Awarded major FRIPRO grants from the Research Council of Norway Dr. Vitelli actively mentors students and researchers in statistical methodology development. Her grant portfolio includes significant funding from the Norwegian Research Council for projects focused on Bayesian clustering methods for high-dimensional omics data. She teaches courses including "Introduction to Machine Learning in Biomedical Research" and "Statistical Principles in Genomics" for medical students and PhD candidates. She leads a research group focused on statistical models for high-dimensional and functional data within the Oslo Centre for Biostatistics and Epidemiology, collaborating closely with medical researchers across various specialties to develop and apply advanced statistical methods to biomedical challenges.