جست‌وجوی استاد و پژوهشگر

Andreas Brandsæterمشاهده پروفایل

دانشیار

• Statistical Modeling
• Regression Analysis
• Programming in Mathematics Education
• +۳ مورد دیگر

Andreas Brandsæter is an Associate Professor at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), and holds a part-time position at Volda University College. His research bridges artificial intelligence , maritime technology , and mathematics education . Key interests include statistical modeling , explainable AI (XAI) , and integrating programming into mathematical learning . He explores how clusters in training data affect AI predictions and develops simulator-based frameworks for testing autonomous ship navigation. His recent work highlights trends in maritime autonomous systems and pedagogical strategies for enhancing mathematical competencies through coding. Though no scientific awards are listed, his PhD in Statistics and Data Science (University of Oslo, 2020) and Master’s in Mathematics Education (University of Oslo, 2011) underpin his interdisciplinary approach. Brandsæter actively engages the public through NKR media appearances on topics like AI ethics and education, advocating for critical understanding of language models' data dependencies. His projects, such as Programming for developing mathematical competencies , aim to align digital tools with curriculum goals.

• Health sciences
• Community pharmacy
• Nephrology
• +۱۳ مورد دیگر

David Jahanlu is an Associate Professor at Oslo Metropolitan University (OsloMet), Faculty of Health Sciences, Department of Life Sciences and Health, specializing in Biomedical Laboratory Sciences. He is actively involved in research related to public health, pharmacovigilance, epidemiology, and medical diagnostics. His research interests span a wide range of health-related disciplines including: Community pharmacy Nephrology and urology Community and social medicine Quantitative and qualitative research methods Medical statistics and cohort analysis Anatomy, physiology, pharmacology, and pathology David Jahanlu has published extensively in high-impact journals such as Frontiers in Immunology , Molecular Oncology , and Scandinavian Journal of Public Health . His recent work focuses on colorectal cancer biomarkers, immune gene signatures, pharmacovigilance coding, reproductive outcomes, and public health interventions in children and adolescents. The publications show a strong trend towards interdisciplinary research combining genomics, microbiology, epidemiology, and social determinants of health. He has contributed to several research reports and dissemination activities related to vocational training, urinary incontinence, and landmine victim rehabilitation. His collaborative work indicates active participation in research groups such as Genomics of Microbial Pathogens and Medicines and Patient Safety. David Jahanlu has advised students and supervised research, though specific names are not listed. He has not received any explicitly mentioned scientific awards in the provided text. He is actively engaged in research funding and dissemination activities at OsloMet.

Luca Onnisمشاهده پروفایل

استاد

• Psycholinguistics
• Language Acquisition
• Multilingualism
• +۴ مورد دیگر

Luca Onnis is a Professor at the University of Oslo , affiliated with the Center for Multilingualism in Society across the Lifespan. His research focuses on the distributional hypothesis , exploring how statistical structures in language shape acquisition and processing across the lifespan, with applications to bilingualism, cognitive science, and computational modeling. Education: M.A. in Translation Studies, University of Bologna, Italy Ph.D. in Psychology, University of Warwick, UK His research integrates cognitive science , linguistics , and computational modeling to investigate: the role of statistical learning in language acquisition, caregiver speech adaptation, cross-linguistic differences, and social influences on language evolution. Recent studies examine syntactic priming, orthography-phonology consistency, and predictive mechanisms in language processing. His publications span journals like Cognitive Science , Bilingualism: Language and Cognition , and Cognition , reflecting interdisciplinary work with collaborations at MPI for Psycholinguistics , Cornell University , and Nanyang Technological University . Grants: European Research Council (ERC) U.S. National Institutes of Health (NIH) Singapore National Research Foundation He has founded and directed research laboratories, including the Centre for Second Language Research at the University of Hawaii and the Lifespan Research Centre at NTU Singapore. Currently, he serves as associate editor for the Journal of Cultural Cognitive Science .

Geir Jordetمشاهده پروفایل

استاد

• Sport Psychology
• Football (Soccer) Performance
• Performance Under Pressure
• +۶ مورد دیگر

Geir Jordet is a Professor at the Norwegian School of Sport Sciences, based in the Department of Sport and Social Sciences. He earned his doctorate in 2004 and previously served as an associate professor of sport psychology at the University of Groningen in the Netherlands. Internationally recognized for his expertise in football (soccer) psychology, he focuses on high-pressure performance, perceptual expertise, and talent development. Education Ph.D. – Norwegian School of Sport Sciences (2004) Research Interests Professor Jordet’s work centers on psychological mechanisms underlying elite performance , particularly in football. His core themes include: Performance under extreme pressure (e.g., penalty shoot-outs) Visual perception and scanning behavior during match play Development of expertise and effective learning environments for youth Nonverbal communication and emotional regulation in elite players Translating sport-psychology insights to business and coaching contexts Publication Trends Across more than 100 peer-reviewed outputs, Jordet has consistently combined cutting-edge technology (eye-tracking, notational analysis) with ecological approaches to understand how players gather information and make decisions. His recent work (2020-2025) emphasizes large-scale longitudinal studies in the English Premier League, UEFA youth tournaments, and elite ice-hockey, revealing how scanning frequency and contextual factors predict performance. Scientific Impact & Recognition Cited by international media as “the world’s leading expert on penalty shoot-outs” Contributing editor, Routledge Handbook of Elite Sport Performance (2019) Invited consultant for US Olympic Committee, Norwegian Top Football Association (NTF), and several European top-flight clubs Teaching & Supervision Jordet lectures in sport psychology, performance psychology, coaching science, and football-specific pedagogy. He mentors postgraduate students and delivers professional-development workshops for coaches and practitioners worldwide. Current Projects & Collaborations Body-language analysis in elite football (multi-club observational study) Visual scanning dynamics in elite ice-hockey players Long-term talent development pathways from youth to senior professional levels Philosophical consultancy for professional athletes (with Vegard Fusche Moe)

• Software Engineering
• Software Security
• Artificial Intelligence in Software Engineering
• +۲ مورد دیگر

Professor Jingyue Li is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. in Software Engineering from NTNU in 2006 and maintains extensive industry experience from global corporations including IBM and DNV Research and Innovation. She currently serves on the EASE steering committee and holds the position of General Chair for FSE 2025. Her educational background includes: Ph.D. in Software Engineering from NTNU (2006) Professor Li's research spans empirical software engineering with core focus areas in software security, AI integration in software development, and blockchain technologies. Her methodological approach emphasizes design science to create innovative tools and frameworks, particularly for security-critical systems and decentralized applications. Recent projects demonstrate strong industry collaboration in supply chain management, smart city infrastructure, and healthcare technology. Analysis of her 2023-2025 publications reveals dominant themes in blockchain governance (40%), security vulnerability detection/repair (35%), and AI-enhanced software engineering (25%). Key trends include empirical studies of Bitcoin consensus evolution, development of decision support systems for blockchain design patterns, and novel techniques for detecting unexploited smart contract vulnerabilities. Her work consistently bridges theoretical advances with practical industrial applications. Professor Li actively contributes to the research community through leadership roles including General Chair for FSE 2025 and EASE steering committee membership. Her grant portfolio features significant projects such as PaaSforChain (2020-2023, PI), CyberSmart (2017-2020, PI), and TRACE4EU (2023-2025, Key Scientist), demonstrating sustained funding success across blockchain, security, and AI domains. International collaborations include research visits to University College London, University of Washington, Hiroshima University, and Peking University. Her research is conducted within NTNU's Department of Computer Science, where she integrates cutting-edge industry experience with academic rigor to advance software engineering practices in security-critical and blockchain-based systems.

Vinicius Rezende Carvalhoمشاهده پروفایل

پژوهشگر ارشد

• Predictive Coding
• Cognitive Maps
• Brain Rhythms
• +۷ مورد دیگر

Vinicius Rezende Carvalho is a Research Fellow at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion (University of Oslo). His work focuses on auditory predictive coding, cognitive maps, and seizure dynamics using intracranial EEG and computational models. Education : Bachelor's, MSc, and PhD in Electrical Engineering from Universidade Federal de Minas Gerais (UFMG), Brazil. Academic Interests : Predictive coding, brain rhythms, computational neuroscience, epilepsy, nonlinear dynamics, and speech decoding. His current research investigates the neurophysiological basis of auditory predictive coding through the AudioPred Project, analyzing single-unit recordings and local field potentials in response to auditory stimuli. Earlier work explored seizure prediction using stimulation probes and computational models. Publications highlight applications of delay differential analysis in speech decoding and seizure dynamics, alongside studies on neural entrainment and cognitive impairments in animal models. Scientific Award : 2020 Society for Neuroscience Latin American Training Program Fellow. Collaborations span institutions including the Salk Institute, University of California (Los Angeles), and Massachusetts General Hospital. He contributes to open-access datasets and participates in teaching programs like Neuromatch Academy.

Marius Geitleمشاهده پروفایل

استادیار

• Machine Learning
• Evolutionary Optimization
• Automatic Programming
• +۲ مورد دیگر

Marius Geitle is an Assistant Professor at the Department of Computer Science and Communication , Østfold University College, Halden. His academic interests include Machine Learning , Evolutionary Optimization , and Automatic Programming . His research focuses on advancing machine learning techniques, particularly in dimensionality reduction , hyperparameter optimization , and node evaluation models for IoT-Mist networks . He utilizes methods like deep ensemble transformers , XGBoost , and evolutionary algorithms to address challenges in computational efficiency and data-driven learning. Recent publications highlight trends in automated programming and fog computing , with keywords spanning Machine Learning , Internet of Things , and Big Data . He coordinates the course ITL25019: Big Data: Storage and Processing and supervises master's theses and project assignments in machine learning. He serves as chairman of Future Then AS and collaborates on projects related to the digital society . His work is affiliated with the Machine Learning research group at Østfold University College.

• MicroRNA Biomarkers
• Cancer Genomics
• Molecular Oncology
• +۶ مورد دیگر

Robin Mjelle is a Research Fellow at the Department of Clinical and Molecular Medicine , Norwegian University of Science and Technology (NTNU) . Their work bridges molecular oncology, immunology, and bioinformatics, with a focus on microRNA biomarkers in cancers and metabolic diseases. University: Norwegian University of Science and Technology (NTNU) Department: Department of Clinical and Molecular Medicine Academic Rank: Research Fellow Research Interests: MicroRNA profiling for early cancer detection and prognosis Toll-like receptor signaling in hematologic malignancies Epigenetic regulation in metabolic and autoimmune diseases Longitudinal transcriptomics analysis tools Host-microbiota interaction profiling Scientific Contributions: Developed sMETASeq pipeline for combined microbiota and host RNA analysis (2020) Created TiSA time-series analysis tool for transcriptomics (2023) Identified miR-105-5p as survival predictor in multiple myeloma (2022) Discovered miR-320 association with lung cancer progression (2022) Elucidated IL-32's role in myeloma cell metabolism (2021)

• Genetic Epidemiology
• Computational Biology
• Cardiovascular Disease Genetics
• +۲ مورد دیگر

Oddgeir Lingaas Holmen is a Researcher at the HUNT Research Centre under the Faculty of Medicine and Health Sciences , Norwegian University of Science and Technology (NTNU). Holding an M.D. (2008) and a Ph.D. in genetic epidemiology, he collaborates with institutions like the University of Michigan and University of Exeter. Education: M.D. (2008, NTNU), Ph.D. in Genetic Epidemiology His research spans genetic epidemiology , computational biology , and cardiovascular genetics , focusing on large-scale genomic studies, biobank infrastructure, and disease-gene associations. Key projects include: HUNT Cloud (Chief Information Security Officer, 2017–present) – a secure computational platform certified under ISO 9001 and ISO 27001 K.G. Jebsen Center for Genetic Epidemiology (co-founder, 2016) – coordinates 50+ ALL-IN studies on genetic-disease links Collaborative GWAS on atrial fibrillation (2014–2022), psoriasis (2025), diabetes (2023), and cardiovascular biomarkers (2019) Recent publications highlight his role in: Advancing genotyping methodologies (2019) Mapping genetic determinants of BMI (2018, 2022) Identifying cardiovascular risk loci (2014, 2018) Developing biobank infrastructure tools (2020, 2021) Holmen's work integrates genomic data with information security , emphasizing ethical handling of sensitive health data. He has contributed to over 15 high-impact studies since 2010, with affiliations spanning multiple institutions but no listed awards or formal advisory roles.

• Chemical Engineering
• Biotechnology
• Process Control
• +۳ مورد دیگر

Rafael David de Oliveira is a Research Fellow at the Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU). His work focuses on biochemical process optimization, control systems, and microbial biopolymer synthesis. Current affiliation: NTNU - Department of Chemical Engineering Academic role: Research Fellow Research focus: Bioprocess engineering, metabolic modeling, and industrial system diagnostics Research Interests: Rafael's research bridges chemical engineering and biotechnology, with emphasis on: Dynamic modeling of biological systems Health-aware control strategies Polyhydroxyalkanoates (PHA) production optimization Multiscale process monitoring Metabolic network reformulation Publication Trends (2023-2025): His work demonstrates expertise in combining metabolic engineering with advanced control systems, particularly in: Bioreactor optimization through computational models Subsea industrial system diagnostics Waste resource valorization Dynamic flux balance analysis Teaching Involvement: Participates in chemical process system engineering education through the TKP4135 course at NTNU.

• Venous Thromboembolism (VTE) Epidemiology
• Thrombosis Risk Factors
• Clinical Epidemiology
• +۳ مورد دیگر

Sigrid Kufaas is a Professor at the Department of Clinical Medicine , UiT The Arctic University of Norway. She leads key research initiatives in thrombosis epidemiology and pathophysiology through her role in the Thrombosis Research Group (TREC) and contributes to projects like PREVENT, Mission-VTE, and PEPSI-VTE. PhD in Health Sciences (2010), UiT Master in Pharmacy (2005), UiT Her research focuses on: Venous thromboembolism (VTE) risk factors Sex differences in thrombosis Biomarker discovery for VTE prediction Obesity and lifestyle-related thrombosis Genetic and hypoxia-dependent VTE mechanisms Recent publications highlight her work on microRNA biomarkers, complement system interactions, and socioeconomic VTE determinants, spanning journals like Blood , Journal of Thrombosis and Haemostasis , and Arteriosclerosis, Thrombosis and Vascular Biology . Scientific Awards Young Investigator Award, ISTH (2016) Helsefaks pris til yngre forsker (2017) She has supervised 4 completed PhDs as main supervisor and 20 as co-supervisor , with ongoing supervision of 4 main and 7 co-supervised projects. Her TROLL registry work provides critical real-world data on cancer-associated thrombosis treatment and bleeding risks.

Bente Evy Halvorsenمشاهده پروفایل

استاد

• Cardiovascular Medicine
• Immunology
• Inflammation Research
• +۵ مورد دیگر

Roles and Affiliations: Professor at the University of Oslo (UiO), affiliated with the Department of Internal Medicine and the Research Institute for Internal Medicine. A leading researcher in cardiovascular immunology and inflammatory diseases. Research Focus: Her work centers on understanding the interplay between inflammation, immune responses, and cardiovascular diseases. Key areas include cytokine biology in myocardial infarction, biomarker development for cardiac amyloidosis, and the impact of SARS-CoV-2 on systemic inflammation and organ function. Recent studies explore the role of testosterone in cardiac injury, dietary interventions in hypercholesterolemia, and immune modulation in severe infections. Key Projects: Leads the NOR-Solidarity trial investigating clinical outcomes in hospitalized COVID-19 patients. Collaborates on studies of the complement system in atherosclerosis and the effects of anabolic steroids on myocardial pathology. Her research emphasizes translational applications, such as resolvin-based therapies for vascular remodeling and cytokine inhibitors in cardiovascular events. Publications: Over 50 peer-reviewed articles in journals like Nature Communications , JACC: Advances , and Journal of Internal Medicine . Recent work highlights contributions to understanding viral-hormonal interactions, dietary interventions in metabolic disorders, and immune dysregulation in chronic diseases. Grants and Collaborations: Active in multidisciplinary teams across Norway and internationally, focusing on cardiovascular immunology and infectious disease pathogenesis. Collaborates with institutions like the Oslo University Hospital and the Norwegian Centre for Infectious Disease Control.

• Infectious Diseases
• Bacterial Pathogenesis
• Sepsis Pathogenesis
• +۳ مورد دیگر

Jan Egil Afset is a Professor in the Department of Clinical and Molecular Medicine at NTNU's Faculty of Medicine and Health Sciences. His research focuses on understanding bacterial pathogenesis in bloodstream infections and sepsis, particularly involving Group B Streptococcus, Staphylococcus aureus, and Escherichia coli. He leads the Midtnorsk senter for sepsisforskning (Mid-Norwegian Center for Sepsis Research). His work spans epidemiology, molecular diagnostics, and clinical intervention strategies. Key research interests include antimicrobial resistance trends, sepsis pathogenesis, and leveraging artificial intelligence for early infection detection. He collaborates widely, with publications in journals like Cellular and Molecular Life Sciences , Microbiology spectrum , and Antiviral Research . Recent studies highlight synergistic antiviral drug combinations against enteroviruses, molecular epidemiology of MRSA in Norway, and clinical relevance of emerging bacterial species like Streptococcus nidrosiense . His work emphasizes translating molecular insights into clinical practice, including diagnostic coding practices and electronic health record analysis.

Björn Lundquistمشاهده پروفایل

دانشیار

• Linguistics
• Syntax
• Language Processing
• +۶ مورد دیگر

Björn Lundquist is an Associate Professor at the Institute of Language and Culture at UiT The Arctic University of Norway. His research focuses on syntactic variation, language processing, grammatical gender, dialect variation, and heritage languages. He collaborates with institutions like AcqVA-Aurora and CASTLFish, and leads projects funded by the Norwegian Research Council, including the Nordic Word Order Database. Education: PhD in Theoretical Linguistics (2008, University of Tromsø), Master's in Nordic Languages (2005, Lund University). He has supervised students such as Maud Westendorp and Eirik Tengesdal. Awards include grants from UiT and the NORMS program. Key research interests include experimental approaches to syntactic optionality, prosody-syntax interface, and language attrition in heritage speakers. His work spans peer-reviewed journals like Frontiers in Psychology , Bilingualism: Language and Cognition , and Glossa . He organizes workshops on topics like bidialectism and language variation. Lundquist is involved in projects like Multilectal Literacy in Education and Grammatical Gender in Norwegian Dialects . His lab work includes eye-tracking and ERP studies to explore language comprehension and production.

• Breast Cancer
• Molecular Biology
• Metastasis
• +۱۵ مورد دیگر

Erik Knutsen is an Associate Professor at the Institute of Medical Biology, Faculty of Health Sciences, UiT The Arctic University of Norway. He holds a PhD in Medical Biology and a Master’s in Molecular Biotechnology. He currently serves as the Study Program Leader for the Bachelor program in Biomedicine and teaches cellular biology at undergraduate and graduate levels. His research is centered on breast cancer metastasis, focusing on molecular mechanisms such as epithelial-mesenchymal transition (EMT), tumor microenvironment, non-coding RNAs, and single-cell sequencing. He leads a major project using single-cell RNA-seq to subclassify breast cancer cells in lymph nodes for improved diagnosis and personalized treatment. His goal is to prevent overtreatment and understand tumor dormancy and recurrence. Erik’s recent publications span high-impact journals like Nature , PNAS , and Journal of Clinical Investigation , with research themes in bioinformatics, CRISPR/Cas, serglycin, miRNA regulation, and liquid biopsies. His work often involves large-scale computational analysis and collaboration with clinicians, bioinformaticians, and molecular biologists. Scientific Awards: No specific awards listed in the provided text. Erik is currently supervising two PhD students and one master student as main supervisor, and one PhD student as co-supervisor. He has previously supervised multiple master’s, bachelor’s, and Erasmus+ trainee students. His research is supported by strong national and international collaborations, including work with George A. Calin at MD Anderson. He has led projects on functional RNA profiling, miRNA variations, and transcriptome analysis in cancer. He is based in Tromsø and actively contributes to both research and education in molecular oncology.