جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence in Medicine
• Colorectal Cancer Screening
• Endocytoscopy
• +۴ مورد دیگر

Dr. Ishita Barua is an Associate Professor at the Department of Information and Communication Technology, University of Agder , specializing in the intersection of artificial intelligence (AI) and gastroenterology . With a clinical background as a physician, her research focuses on AI-assisted endocytoscopy for colorectal cancer screening, health technology assessment , and medical ethics in AI implementation. She actively contributes to public health discourse through both academic publications and popular science communication. Medical AI Colorectal Cancer Screening Health Technology Assessment Medical Ethics Her recent work analyzes AI's impact on colonoscopy quality , cost-effectiveness of AI systems , and workforce diversity in academia . She has published extensively in journals like Endoscopy , Gastroenterology , and NEJM Evidence , with 2025 publications showing continued leadership in AI-driven medical innovation. Current research investigates real-time optical diagnosis systems , withdrawal time monitoring , and equity in academic recruitment . Her clinical trials span topics from gender-specific pain management to Covid-19 transmission patterns . Dr. Barua also engages in public debates through op-ed contributions and podcast appearances on AI ethics in healthcare.

Ragni Pieneمشاهده پروفایل

استاد

• Algebraic Geometry
• Enumerative Geometry
• Intersection Theory
• +۶ مورد دیگر

Ragni Piene is a distinguished Professor in the Department of Mathematics at the University of Oslo, where she has held a faculty position since 1987 (previously serving as Associate Professor from 1979-1986). Her academic career spans over four decades with significant contributions to algebraic geometry and related fields. She maintains an active research profile with numerous publications through 2025 and holds prestigious appointments including membership on the Heidelberg Laureate Forum Foundation Council until 2025. Her educational background includes a Ph.D. from the Massachusetts Institute of Technology (1976), Cand.real. from the University of Oslo (1972), D.E.A. from Université de Paris (Orsay) (1970), and Cand. mag. from the University of Oslo (1969). Professor Piene's research focuses on Algebraic Geometry, with particular expertise in enumerative geometry and intersection theory, singularities, moduli spaces, and toric varieties. Her work extends to algebraic methods in computer-aided geometric design and the study of real algebraic curves and surfaces. Her research bridges theoretical mathematics with practical applications in geometric modeling. Analysis of her recent publications (2012-2025) reveals a consistent focus on the geometric properties of algebraic varieties, with increasing attention to computational aspects and applications. Her work demonstrates strong continuity in exploring polar varieties, toric geometry, and singularities, while progressively incorporating more computational methods and connections to geometric design. The research shows sophisticated development from foundational theoretical work to increasingly applied contexts, particularly in computer-aided geometry. Her significant professional honors include: Member of the Heidelberg Laureate Forum Foundation Council (2015-2025) Chair of the Scientific Council of the Fondation Mathématique Jacques Hadamard (2020-2024) Professor Piene has maintained an extensive international research network through numerous research visits to prestigious institutions including Institut Mittag-Leffler, MSRI Berkeley, École Normale Supérieure, Harvard University, and several others. She actively collaborates with leading mathematicians worldwide, as evidenced by her co-authored publications. Her research group affiliation with the Algebra and Algebraic Geometry group at the University of Oslo provides institutional support for her ongoing work in these specialized mathematical domains.

• Teacher Education
• Educational Technology
• Artificial Intelligence in Education
• +۳ مورد دیگر

Mona Liland Aabel serves as an Assistant Professor and Head of Studies for Area of Responsibility 5 at the Department of Primary and Secondary Teacher Education, Faculty of Education and International Studies, Oslo Metropolitan University. Her office is located at Pilestredet 52, 0167 Oslo (Office B528), and she can be reached at monaliland.aabel@oslomet.no. Her research centers on the intersection of education and technology, with primary focus areas including: Artificial intelligence applications for formative assessment in schools Programming education for preservice teachers using micro:bit Participatory design methodologies in secondary education Digital learning arenas and teacher development She investigates practical implementations of digital tools to enhance teaching practices and student engagement through collaborative approaches. Aabel's recent publications (2023-2025) reveal consistent exploration of technology integration in teacher education. Her work critically examines AI's dual role in assessment (as both potential cheating tool and pedagogical aid), collaborative programming dynamics among preservice teachers, and student-centered design processes. These studies emphasize real-world classroom applications and contribute significantly to evolving digital competence frameworks in Scandinavian educational contexts. No scientific awards were documented in available sources. As Head of Studies, she oversees curriculum development and academic administration within her department. She is actively affiliated with OsloMet's Digital Learning Arenas research group, which investigates technology-enhanced learning environments and innovative pedagogical approaches.

Beate Vestadمشاهده پروفایل

پژوهشگر ارشد

• Gut Microbiome
• Cardiovascular Disease
• HIV
• +۶ مورد دیگر

Beate Vestad is a Postdoctoral Fellow at the Department of Transplantation Medicine , University of Oslo (UiO), with a focus on microbiome research and extracellular vesicle analysis in complex disease contexts. She actively contributes to the Genomics and Metagenomics in Inflammatory Disorders and Oslo HIV Research Network groups. Her research interests center on the intersection of gut microbiota alterations , systemic inflammation , and chronic disease progression in conditions like HIV , cardiovascular disorders , and post-COVID-19 complications . She explores how microbial metabolites (e.g., imidazole propionate, butyric acid) and vesicle-mediated signaling influence disease severity and patient outcomes. Her publications demonstrate expertise in multi-omics integration , EV isolation methodologies , and clinical microbiome studies , with collaborations across immunology , metabolic medicine , and cancer biology . Her work bridges fundamental microbiome science with translational clinical applications , particularly in high-risk patient populations .

Stefan Schauberمشاهده پروفایل

دانشیار

• Health Professions Education
• Educational Measurement
• Psychometrics
• +۴ مورد دیگر

Stefan Schauber is an Associate Professor at the University of Oslo's Faculty of Medicine, where he is affiliated with the Unit for Health Sciences Education (HELP) and the Centre for Educational Measurement (CEMO). He maintains a long-standing collaboration with the Diagnostic Quality Lab at Inselspital in Bern, Switzerland. His work focuses on assessment in health professions education, applied educational measurement, and diagnostic error research. Dr. Schauber's primary academic interests center on measuring complex skills within health professions, particularly clinical knowledge, thinking, reasoning, communication, and practical skills. His research contributes to improving exams in health studies and enhancing understanding of diagnostic errors. He has extensive experience in psychometrics and quality assurance of exams, creating test statistical reports that help examination boards evaluate whether assessment items function as expected. His methodological expertise spans classical test theory, item response theory, and longitudinal modeling approaches applied to educational measurement. His recent publication record demonstrates a strong focus on diagnostic decision support systems, team performance assessment in healthcare, psychometric analysis of medical examinations, and the impact of educational approaches on learning outcomes. His work spans multiple international collaborations, particularly with Swiss and German institutions, reflecting the global relevance of his research in medical education and assessment methodology. Dr. Schauber has been actively involved in teaching researcher skills including academic writing, presenting, and communication. He conducts workshops on item-writing, test development, exam construction, and the R Language for Statistical Computing. His expertise in educational measurement has been applied across various contexts, from national licensing examinations to team performance assessment in emergency medicine. He is associated with several research projects including 'Competency assessment in medical education,' 'MonKeyMed - Monitoring of key indicators at the Faculty of Medicine,' and 'Equity in education and in measuring educational outcomes.' His work with the Diagnostic Quality Lab in Bern focuses on improving diagnostic safety through collaborative research on diagnostic decision-making processes and error reduction strategies.

Kristian Gjertsen Kjelgårdمشاهده پروفایل

دانشیار

• Microwave Engineering
• Antennas and Propagation
• Ultra-Wideband Radar
• +۶ مورد دیگر

Kristian Gjertsen Kjelgård serves as an Associate Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences, where he actively contributes to the Nanoelectronics (NANO) research group. His academic role centers on advancing microwave engineering and nanoelectronic systems with practical applications in environmental and biomedical domains. His research program integrates ultra-wideband radar technology, 3D-printed RF components, and CMOS circuit design to solve complex sensing challenges. Key focus areas include snow water equivalent monitoring through bi-static SAR systems, non-invasive biomedical instrumentation for heart rate and tissue characterization, and hardware security countermeasures against side-channel attacks. His innovative work on differential probing techniques and body-coupled antennas demonstrates cross-disciplinary impact across geoscience and healthcare. Analysis of his 2018-2024 publications reveals a strategic trajectory toward additive manufacturing integration in microwave engineering, producing functional components like 3D-printed waveguide transitions, absorbers, and specialized antennas. The research consistently bridges two critical application domains: environmental remote sensing (particularly snow hydrology monitoring) and biomedical sensing (including wearable health technologies). This dual-focus approach has yielded practical solutions for snowpack inspection, transcutaneous biomedical monitoring, and secure hardware implementations. No specific scientific awards were documented in the source material, though his extensive publication record in IEEE conferences and journals indicates significant scholarly contributions. Within the Department of Informatics, Dr. Kjelgård collaborates extensively through the Nanoelectronics research group, which maintains strong interdisciplinary connections between electrical engineering, materials science, and computer science. The group's facilities support advanced work in RF circuit design, electromagnetic simulation, and additive manufacturing for radar and sensing applications, with ongoing projects targeting next-generation environmental monitoring systems and biomedical instrumentation.

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +۵ مورد دیگر

Gustavo Borges Moreno e Mello is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. Based in office SG209 at Stensberggata 29, Oslo, he actively contributes to the Applied Artificial Intelligence research group with focus on cutting-edge computational methodologies. His research spans artificial intelligence with emphases on graph neural networks, multilingual NLP, reinforcement learning, and medical imaging. Key interests include developing propagation schemes for GNNs, cross-lingual BERT adaptations, rodent fMRI analysis, and empathy assessment in human-computer interaction systems. His work bridges theoretical AI with practical healthcare and communication applications. Analysis of his 2020-2024 publications reveals strong thematic continuity in neural architecture design, particularly HITS-GNN variants for graph analytics and time-representation models. Recent work increasingly integrates neuroscience principles with reinforcement learning while maintaining Nordic language processing applications, notably in English-Norwegian BERT alignment. No information regarding graduate student supervision or research grants was found in the provided materials. He maintains active collaboration within OsloMet's Applied Artificial Intelligence research group, focusing on interdisciplinary projects that connect computer vision, natural language processing, and neuro-inspired computing with real-world healthcare and communication challenges.

• Statistics
• Structural Equation Modeling
• Factor Analysis
• +۳ مورد دیگر

Njål Foldnes is Professor of Statistics at the University of Stavanger's Faculty of Educational Sciences and Humanities, where he contributes to the National Center for Reading Education and Reading Research. His research integrates multivariate statistical methods with educational innovation, focusing on structural equation modeling, factor analysis, and machine learning applications in literacy development. Foldnes leads pioneering work in two domains: 1) Developing advanced statistical methodologies for non-normal data simulation and model fit assessment, resulting in open-source tools like the covsim R package; and 2) Applying machine learning to educational challenges, notably creating predictive models for early detection of reading difficulties using gameplay data from literacy apps. His statistical research critically examines simulation methodologies and ordinal data limitations. His educational research portfolio includes national reading assessment systems, intervention efficacy studies, and investigations into linguistic diversity's impact on learning. Recent publications demonstrate strong cross-disciplinary collaboration, with frequent co-authorship in both statistical methodology (e.g., Structural Equation Modeling ) and education journals (e.g., Reading and Writing ). Foldnes contributes significantly to Norway's educational infrastructure through his role in developing adaptive national reading assessments. He co-authored the academic textbook Statistikk og dataanalyse and actively communicates research through national media outlets like Aftenposten .

• Special Education
• Virtual Reality (VR) Applications
• Autism Spectrum Disorders
• +۵ مورد دیگر

Anders Dechsling is a Professor at the Department of Education, ICT and Learning at Østfold University College (HIOF). He is affiliated with the Special Education academic environment within the Faculty of Teacher Education and Languages. His primary role includes teaching in the master's program in Special Education and involvement in courses related to the national professional development initiative Kompetanseløftet. He has led and contributed to multiple externally funded research projects, including studies on VR applications in education, autism interventions, and auditory processing disorders. His academic background includes a master’s degree in Learning in Complex Systems from OsloMet and a doctoral dissertation on autism and VR. Previously, he worked in schools and health services as an environmental therapist and family counselor. Dechsling serves on the Faculty Board of Teacher Education and Languages and leads the Østfold chapter of the Norwegian Association for Behavior Analysis. He has collaborated with institutions like Yale University, UCLA, and the Karolinska Institutet. His research focuses on special education practices, interdisciplinary approaches between social education and special education, and VR applications in aiding individuals with neurodevelopmental conditions. Notable projects include evaluating VR interventions for children with autism and studying the effectiveness of Småsteg on socio-emotional learning in kindergartens. Dechsling has authored or co-authored over 30 peer-reviewed articles and book chapters, with recent work emphasizing VR’s role in autism support, audio technology for sensory differences, and teacher perspectives on implementing VR in special education. He actively reviews for journals like Journal of Autism and Developmental Disorders and guest-edited a special issue for Research in Developmental Disabilities . His advising includes three PhD candidates focused on topics ranging from auditory processing disorders to AAC interventions. He has also led projects totaling over NOK 35 million in external funding, demonstrating a strong commitment to translating research into practical educational tools.

Nadia Saad Nooriمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Computer & Machine Vision
• +۱۰ مورد دیگر

Nadia Saad Noori is an Associate Professor at the Department of Information and Communication Technology at the University of Agder (UiA). Since 2016, she has conducted research and teaching at CIEM - Centre for Integrated Emergency Management , and joined NORCE Norwegian Research Center as a Senior Researcher in 2018. Her work bridges industry experience (Cisco, hi-tech startups) with academic rigor , focusing on technology integration in crisis management , cybersecurity , and industrial monitoring systems . Her educational background includes: B.Sc. & M.Sc. in Computer Systems Engineering M.A.Sc. in Technology Innovation Management Ph.D. in Electronic and Information Systems Engineering Research interests span machine learning , autonomous systems , and security frameworks through: Disaster response coordination systems Industrial condition monitoring Humanitarian technology solutions Cyber-physical systems Recent publications demonstrate technical breadth : 2024: Thermal gesture recognition and UAV navigation in industrial spaces 2023: Cybersecurity frameworks and ecological pattern recognition 2022: Industrial seal diagnostics and autonomous systems She leads research groups in: Autonomous and Cyber-Physical Systems (ACPS) CIEM - Integrated Emergency Management Communication and System Security

Carsten Griwodzمشاهده پروفایل

استاد

• Computer Networks
• Distributed Systems
• Network Security
• +۵ مورد دیگر

Carsten Griwodz is a Professor in the Department of Informatics (IFI) at the University of Oslo, specializing in digital infrastructure and security. He leads the Distributed Infrastructure and Security (DIS) research group and contributes to several specialized labs including the Sustainable Immersive Networking Lab (SINLAB), Imagine Beyond 5G Blockchain Lab, and the AliceVision Association. Professor at Department of Informatics, University of Oslo Section leader for DIS: Distributed Infrastructure and Security Group member in Networks and Distributed Systems (ND) Active in sustainable immersive networking and blockchain labs Co-founder of AliceVision open-source photogrammetric framework His research focuses on network performance, edge computing, and immersive technologies. He has pioneered work in cloud gaming QoE, real-time 3D reconstruction, and low-latency systems. Current projects explore redirected walking in VR, GPU programming for tracking, and sustainable networking solutions. Recent publications (2021-2024) demonstrate his expertise in network delay analysis, point cloud compression, virtual reality environments, and GPU-accelerated systems. His work bridges computer science fundamentals with cutting-edge applications in multimedia, security, and health informatics. He supervises numerous master's theses covering diverse topics from wireless streaming challenges to medical imaging advancements, consistently mentoring on topics related to network optimization, immersive technologies, and GPU computing. Supervised 40+ master's theses (2004-2024) Thesis topics span network performance, GPU programming, VR systems, and multimedia processing Active in both theoretical and applied research domains Mentoring interests include HCI, distributed systems, and real-time processing Contributes to education through research-led supervision As a permanent faculty member with extensive publication records and active research groups, Griwodz maintains significant influence in academic circles through both his technical contributions and educational mentorship.

Thomas Hoffمشاهده پروفایل

استاد

• Human Factors
• Leadership
• Strategic HR
• +۳ مورد دیگر

Thomas Hoff is a Professor at the Department of Psychology, University of Oslo. His research focuses on Human Factors, Leadership, Strategic HR, Team Performance, and Innovation Studies within the field of Work and Organizational Psychology. Hoff's work emphasizes the interplay between environmental factors and human performance in diverse settings, including emergency medicine, maritime navigation, and corporate innovation. Human Factors Leadership Strategic HR Team Performance Innovation Studies Hoff has published extensively on workplace dynamics, including psychometric assessments, organizational climate analysis, and stress effects on performance. His recent 2025 article explores cyclical relationships between job demands, burnout, and sickness absence. Earlier works examine CPR workload, design competencies, and navigation interface ergonomics. Hoff's publications span interdisciplinary topics, combining Activity Theory with practical applications in energy management, high-speed craft operations, and in-vehicle systems. His methodological contributions include validation studies for organizational assessment tools and theoretical frameworks for ecological interface design.

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.

• Computational Engineering
• Geometric Modeling
• Sensor Technology
• +۳ مورد دیگر

Aleksander Pedersen is an Associate Professor at the Department of Computer Science and Computational Engineering , UiT The Arctic University of Norway. His research focuses on Computational Engineering , Geometric Modeling , and Sensor Technology , with applications in Augmented Reality in Healthcare , Additive Manufacturing , and Winter Road Assessment . Fields of Interest Computational Engineering Geometric Modeling Sensor Technology Augmented Reality in Healthcare Additive Manufacturing Simulation-based Education Pedersen's recent work includes 2024 studies on AR projections for medical simulations and optimization in additive manufacturing , while earlier studies (2020–2015) explore spline-based modeling , sensor fusion for winter roads , and subsurface visualization . He collaborates with researchers like Tanita Fossli Brustad, Rune Dalmo, and Børre Bang, and is affiliated with the Simuleringer research group at UiT. His contact email is aleksander.pedersen@uit.no .

• Artificial Intelligence
• Healthcare Informatics
• Natural Language Processing
• +۴ مورد دیگر

Luìs Manuel Nobre de Brito Elvas serves as a Research Fellow at Molde University College's Faculty of Logistics, specializing in artificial intelligence applications for healthcare systems and urban logistics. His work bridges computational methods with real-world challenges in medical data processing and city infrastructure management, contributing to interdisciplinary projects with Norwegian and international collaborators. Dr. Elvas's research centers on healthcare informatics, where he develops natural language processing techniques for medical report structuring, blockchain solutions for health data interoperability, and wearable technology frameworks for long-term care monitoring. His smart city research analyzes urban mobility patterns using mobile data to optimize logistics and public services, demonstrating consistent focus on practical implementations through publications in journals like Scientific Reports and JMIR Medical Informatics. Analysis of his 2023-2025 publications reveals concentrated expertise in medical AI, particularly fine-tuned language models for clinical text processing (75% of recent work), complemented by blockchain applications for health records (15%) and smart city analytics (10%). His research increasingly addresses hospital operational efficiency, with 40% of 2024-2025 publications targeting workload reduction through AI-assisted care systems. Dr. Elvas maintains active collaboration with Molde University College researchers including Joao C. Ferreira and Miguel Nunes across 19 co-authored publications. His work appears in high-impact venues such as IEEE conferences and Springer proceedings, though specific grant funding or student supervision details remain unreported in available sources. He operates from campus office C314 with primary focus on translating AI research into healthcare and logistics solutions.