جست‌وجوی استاد و پژوهشگر

Meghan Balkمشاهده پروفایل

پژوهشگر ارشد

• Ecological and Evolutionary Biology
• Paleobiology
• Functional Morphology
• +۷ مورد دیگر

Meghan Balk is a Postdoctoral Fellow with the Evolution and Paleobiology Group at the Natural History Museum, University of Oslo. Her work combines museum collections and trait databases to investigate how inter- and intra-specific traits change across time and space. She is passionate about digitizing museum data and enabling FAIR data principles for continued exploration of data-driven science across evolutionary biology and ecology. Balk received her Ph.D. from the University of New Mexico in 2017 with a concentration in Interdisciplinary Science through the Department of Biology. She earned her B.S. from the University of California, Davis in 2010 in the Department of Evolution, Ecology, & Biodiversity, with a minor in Paleobiology through the Department of Geology. Her academic journey reflects a strong foundation in both biological sciences and geological perspectives on evolutionary processes. Her research employs both micro- and macroscopic approaches to understand abiotic and biotic drivers of phenotypic evolution. She investigates within and among lineage phenotypic evolution using fossil and modern records of organisms like bryozoans. Her work on abiotic drivers examines body size changes in species like the bushy-tailed woodrat across geological time, while her research on biotic drivers explores predator-prey relationships in the fossil record, particularly focusing on species like Otodus megalodon. She utilizes machine learning and computational approaches to extract morphological trait data from specimen images. Balk's publication record demonstrates expertise across evolutionary biology, paleontology, ecology, and computational approaches. Her recent work focuses on developing FAIR and modular workflows for image-based knowledge discovery in the emerging field of imageomics. She has made significant contributions to understanding body size evolution across geological time, predator-prey relationships in the fossil record, and promoting open science principles for trait-based research. Her work bridges traditional paleontological methods with cutting-edge computational techniques. Balk is actively involved in several research projects including ROCKS PARADOX (Dissecting the paradox of stasis in evolutionary biology) and Machine-readable Nature (MaNa). She collaborates with researchers across institutions to create ontologies and workflows for trait data, such as the Functional Trait Resource for Environmental Studies (FuTRES) project and the Biology-Guided Neural Networks project. She teaches courses including Foundational Open Science Skills workshop, Git for Mere Mortals webinar, and R Basics Crash course, emphasizing the importance of reproducible research practices.

Bjørge Hermann Hansenمشاهده پروفایل

پژوهشگر ارشد

• Physical Activity Epidemiology
• Measurement of Physical Activity
• Accelerometry
• +۳ مورد دیگر

Bjørge Hermann Hansen is a postdoctoral researcher at the Department of Sport Medicine, Norwegian School of Sport Sciences (NIH), actively engaged in national physical activity surveillance and the International Children's Accelerometer Database (ICAD). His work bridges epidemiology, statistics, and device-based measurement to investigate activity patterns across diverse populations including children, cancer survivors, and clinical cohorts like Duchenne Muscular Dystrophy patients. Previously referenced in 2020-2023 materials as a University of Agder professor, NIH's December 2023 employee page confirms his current research role at Norway's premier sport science institution. Hansen's research focuses on physical activity epidemiology and measurement validity, specializing in accelerometer data analysis. He investigates intensity distribution, sedentary behavior, and their health associations across lifespan stages. His methodological expertise includes harmonizing multi-cohort data, validating self-report tools against objective measures, and developing protocols for reliable activity monitoring. Current projects address environmental determinants like family car ownership and school policies on screen time. Recent publications reveal a dominant trend: large-scale meta-analyses using pooled international data (ICAD) to establish dose-response relationships between activity patterns and mortality. He also examines secular trends in Norwegian youth activity, methodological challenges in measurement, and the impact of clinical conditions on movement behaviors. Key journals include The Lancet, British Journal of Sports Medicine, and PLOS ONE. Scientific awards: None explicitly mentioned in source materials. Hansen teaches Statistics, Epidemiology, and Scientific Methods at NIH, translating complex concepts through podcasts like Fysioformidlingen. While no specific grants or student advising records are provided, his leadership in national surveillance projects (e.g., Kan3 reports for Folkehelseinstituttet) indicates active grant-funded research. He advocates for evidence-based policies such as school mobile phone bans to increase recess activity. He collaborates with the ICAD consortium and Norwegian Institute of Public Health on population monitoring. His work with the Kan3 project involves nationwide data collection on adult physical activity and fitness. Recent Folkehelseinstituttet reports (2023-2024) demonstrate his role in national health surveillance systems.

Laura E. Mercer Traavikمشاهده پروفایل

دانشیار

• Negotiation
• Diversity Management
• Inclusive Leadership
• +۴ مورد دیگر

Laura E. Mercer Traavik serves as Associate Professor in the Department of Leadership and Organization at Kristiania University College's School of Communication, Leadership and Marketing. Her expertise spans negotiation strategies, diversity management, and inclusive leadership frameworks within Norwegian organizational contexts, with particular focus on workplace inclusion for caregivers and seniors. Her research examines intersectional dynamics of diversity through lenses of cross-cultural management, economic psychology, and negotiation theory. Current investigations address AI ethics implications for inclusive workplaces, individual motivations for inclusive behavior, and structural barriers faced by women in leadership. She analyzes how fixed mindsets about technology impact virtual team performance and explores employer branding strategies that authentically integrate diversity values. Analysis of her recent publications reveals intensifying focus on practical applications of inclusion science in Scandinavian workplaces. Key trends include caregiver employee integration, senior workforce retention strategies, and the ripple effects of egalitarian team structures. Her work increasingly bridges digital transformation challenges with human-centered inclusion practices, emphasizing contextual Norwegian workplace dynamics while contributing to global diversity discourse through empirical studies on mindset interventions and policy rationales. Traavik actively disseminates findings through NEON Days and EDI conferences, presenting on topics including caregiver inclusion frameworks, senior career development pathways, and cross-cultural negotiation patterns. Her research methodology combines organizational case studies with large-scale policy analysis, notably through MIPEX database applications in Scandinavian contexts.

• Biometrics
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Raghavendra Ramachandra is a Professor at the Department of Information Security and Communication Technology (IIK) , within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. His research focuses on biometric systems, particularly in face, fingerprint, and finger vein recognition, with emphasis on presentation attack detection, morphing attack detection, and deep learning applications. Current research projects include: SALT (2022-2026) : Developing privacy-preserving facial biometric authentication systems. OffPAD (2022-2025) : Creating cryptographic tools and presentation attack detection for fingerprint biometrics. SWAN (2015-2020) : Developing biometric countermeasures against presentation attacks. His recent publications demonstrate technical expertise in: Face morphing attack detection using vision transformers and point cloud networks Image fusion techniques for multispectral biometrics GAN-based synthetic data generation for security evaluation Explainable AI approaches for biometric verification Professor Ramachandra also supervises PhD and Master’s students, and has extensive experience in leading national and EU research initiatives.

• Mathematics Education
• Metascience
• Classroom Research
• +۴ مورد دیگر

Roar Bakken Stovner is an Associate Professor at the Department of Primary and Secondary Teacher Education within the Faculty of Education and International Studies at Oslo Metropolitan University (OsloMet), where he also serves as Head of Studies - Area of Responsibility 2. His academic career at OsloMet began as an Assistant Professor (2021-2023) before his promotion to Associate Professor in 2023. Prior to his university position, he worked as a teacher in lower and upper secondary schools in Oslo (2012-2018) and completed his PhD at the University of Oslo (2016-2020). He holds a Master of Science and Technology from NTNU (2007-2012) with a thesis on applied computational topology. Stovner's research spans several interconnected domains within educational science: Developing methodologies for describing and measuring teaching quality across multiple classrooms, with special emphasis on mathematics education Metascience research examining how citation practices distort findings and confer unwarranted authority to claims in educational research Creating programming tools for educational research, including the gptworkr package for text analysis in R using ChatGPT His scholarly work focuses on classroom research, mathematics education, mathematical competencies, metascience, and citation analysis. He actively participates in research groups focused on Classroom Research and Task Design in Mathematics Education, and leads significant involvement in the Teacher Education Panel Study (TEPS), a comprehensive longitudinal study examining teacher education implementation in Norway. Stovner's recent publications demonstrate substantial engagement with contemporary issues in educational research methodology, AI applications in education, and critical examination of scientific practices. His work on the EDUCATE project has produced influential reports on algorithmic thinking in mathematics education across different grade levels and exploratory teaching approaches in upper secondary education. His contributions to educational discourse include conference presentations, book chapters, and practical resources for teacher education, such as "Bedre masterskriving – en bok for lærerstudenter" (Better Master's Writing - A Book for Teacher Students), which supports academic writing development among future educators.

Ivana Bojanicمشاهده پروفایل

پژوهشگر

• Epidemiology
• Drug Use
• Mental Health
• +۶ مورد دیگر

Ivana Bojanic is a full-time Researcher at the Faculty of Nursing and Health Sciences, Nord University, Norway. She holds a PhD in Medicine and Health Sciences from NTNU (2023) and has a background in pharmacy, medical biochemistry, and clinical experience as a laboratory head in Serbia. Her research focuses on mental health, drug use patterns, and cultural safety in healthcare, particularly among the Sami population and Arctic indigenous communities. She leads interdisciplinary projects funded by organizations like NordForsk and SANKS, addressing mental health in cardiovascular diseases/diabetes, digital health innovations for aging populations, and culturally safe healthcare services. Education: BSc in Pharmacy and Medical Biochemistry from the University of Belgrade, MSc in Pharmaceutical Health Prevention (University of Belgrade), PhD in Medicine and Health Sciences (NTNU). Teaching responsibilities include physiology, pharmacology, and quantitative research methods at bachelor's and master's levels. She supervises PhD and master's students and collaborates internationally on public health initiatives. Key Research Projects include: "Exploring Cultural Safety in Municipal Healthcare Services for Saami with Somatic Diseases" (Project Manager, NOK 267,000) "Promoting Healthy Aging of Sámi and Inuit Elders Through Co-Designed Digital Health Tool" (NordForsk, NOK 15 million) She is affiliated with research groups: Healthcare and Population Health, Pharmaceuticals and Pharmaceutical Management. Her work emphasizes co-design methods, quantitative/qualitative research, and health equity for marginalized groups such as the Sami population.

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.

• Virology
• Antiviral Drug Development
• Pharmacology
• +۴ مورد دیگر

Denis Kaynov is a Professor at the Institute of Clinical and Molecular Medicine, NTNU, Norway. His research focuses on developing antiviral drug combinations targeting broad viral spectra and drug-resistant variants. He holds a PhD from the University of Helsinki (2005), followed by postdoctoral work at IGBMC (2005-2007) and CRP-Santé Luxembourg (2007-2009). His expertise spans virology, pharmacology, and immunology. Key research interests include antiviral drug synergy, host-virus interactions in enteric infections, and translational therapeutics. Recent work emphasizes organoid models for studying viral diseases and testing antiviral cocktails. His lab explores JAK inhibitors’ role in viral propagation and investigates macrophage-augmented intestinal organoids for therapeutic screening. Publications highlight drug combinations against enteroviruses, SARS-CoV-2 antibody responses, and repurposing FDA-approved drugs. He collaborates widely, mentoring students like Hilde Lysvand and Irene Trøen Frøysa. His work bridges basic research and clinical applications, addressing global viral threats with an emphasis on broad-spectrum solutions.

Stephanie Wernerمشاهده پروفایل

استاد

• Comparative Planetology
• Planetary Dynamics
• Exoplanet Systems
• +۵ مورد دیگر

Stephanie Werner is a Professor at the University of Oslo's Department of Geosciences and serves as Co-Centre Leader of the Centre for Planetary Habitability since 2023. She has held various significant positions including Director of the Norwegian Research School for Dynamics and Evolution of Earth and Planets (2016-2024) and Team Leader of Earth and Beyond/Comparative Planetology at the Center for Earth Evolution and Dynamics (2013-2023). Her educational background includes: Dr. rer. nat. (PhD) from Free University of Berlin, Germany (2005) with thesis: "Major Aspects of the Chronostratigraphy and Geologic Evolutionary History of Mars" Diplom in Geophysics from the University of Kiel, Germany (1999) Professor Werner's research focuses on comparative planetology, planetary dynamics, exoplanet systems, and planetary geophysics . Her work spans the formation and evolution of planets and planetary systems, cratering chronology and processes, remote sensing of Earth and planets, and potential field data interpretation. She has made significant contributions to understanding the geological evolution of Mars, lunar cratering chronology, and the dynamics of planetary systems. Her recent publication trends reveal a strong focus on cratering chronology across solar system bodies , with particular attention to the Moon, Mars, and outer solar system satellites. She has led important revisions to lunar cratering chronology models and has investigated impact rates on Jupiter's, Saturn's, and Uranus' moons. Another major theme is the study of exoplanets around K-dwarf stars , examining their composition and formation processes. Her work also includes significant contributions to Mars exploration , particularly through the Planetary Terrestrial Analogues Library project supporting the ExoMars mission. Professor Werner holds several prestigious appointments: Co-Lead, ESA - Ariel Science Team Norwegian representative and Co-I, ESA - PLATO Consortium Member of the European Space Agency's ExoMars Rover Science Operations Working Group Member of the ESA - NASA Mars Sample Return Science Planning Group EGU Division President of Planetary and Solar System Sciences (2017-2021) She has supervised numerous students through the Norwegian Research School for Dynamics and Evolution of Earth and Planets, which she directed from 2016-2024. Her research has been supported by multiple grants from the European Space Agency and Norwegian research councils, enabling participation in major space missions including ExoMars, PLATO, and Ariel. Professor Werner leads the Planetary Terrestrial Analogues Library (PTAL) project, which provides crucial support for Mars missions by creating a comprehensive database of terrestrial analogues for Martian environments. She also contributes to the Mars Missions Analogue Sample Library (MM ASL) and the CRATER CLOCK project focused on calibrating cratering chronometers for planetary evolution studies.

Scott Rettbergمشاهده پروفایل

استاد

• Electronic Literature
• Digital Humanities
• Digital Culture
• +۴ مورد دیگر

Scott Rettberg is a Professor of Digital Culture at the University of Bergen's Department of Linguistic, Literary and Aesthetic Studies. He leads the Center for Digital Narrative and has directed major projects like ELMCIP, funded by the Ford and Rockefeller Foundations. Contact: scott.rettberg@uib.no. Research Focus: Electronic literature, AI-generated narratives, digital humanities infrastructure. Recent Work: Explores AI writing practices, pandemic-themed digital art, and cyborg authorship models. His publications analyze intersections between generative algorithms and literary form, with a strong emphasis on digital ethics and pedagogy. Awards include the Robert Coover Award (2016) and N. Katherine Hayles Award (2019). Key Contributions: Co-founder, Electronic Literature Organization Director, ELMCIP Electronic Literature Knowledge Base Author, Electronic Literature (Polity, 2018)

Marte Lund Sagaمشاهده پروفایل

پژوهشگر ارشد

• Sociology
• Social Inequality
• Class Theory
• +۳ مورد دیگر

Marte Lund Saga is a Research Fellow in Sociology at the Department of Sociology and Human Geography, University of Oslo, affiliated with the Faculty of Social Sciences. She holds a PhD candidate position at the Institute for Social Research (ISS) and participates in the 'Weaving the fabric of Elite Bonds (WEB)' project. Her academic journey includes a Master's in Political Science (2019) and dual Bachelor's degrees in Political Science and Sociology (both 2017), all from the University of Oslo. Education: PhD Candidate (2022–present), ISS, UiO MA in Political Science (2019), UiO BA in Political Science & Sociology (2017), UiO Her research focuses on class theory, elite networks, social inequality, and quantitative methodologies. Key interests include analyzing capitalist class structures, power dynamics, and the role of social capital in shaping elite formations. She has contributed to the World Elite Database (WED), exploring global variations in economic elites. Publications include work on Norwegian capitalist class politics and cross-national elite analyses. She has received the ARENA Centre for European Studies Master's Thesis Grant (2019). Teaching responsibilities include courses on quantitative methods (SOS4020), sociological theory (SOS1100), and inequality studies (SOS2100). Her involvement in the WEB project underscores her commitment to interdisciplinary research on elite social bonds and structural power.

Tobias Kaufmannمشاهده پروفایل

استاد

• Neurotechnology
• Computational Psychiatry
• Genetics
• +۳ مورد دیگر

Tobias Kaufmann is a Full Professor of Neurotechnology and Computational Psychiatry at the University of Tübingen, Germany, and a Senior Researcher at the Norwegian Centre for Mental Disorders Research (NORMENT) at the University of Oslo, Norway. His research focuses on investigating the pathophysiological changes in brain structure and function, particularly exploring their genetic underpinnings through computational analysis of large-scale neuroimaging and genetic datasets. He has contributed to understanding the genetic architecture of brain regions like the thalamus and brainstem, their roles in psychiatric and neurological disorders, and the development of neuroimaging tools such as ARTiiFACT for artifact processing. His work bridges neurotechnology, computational methods, and clinical psychiatry to advance precision medicine approaches in mental health. His research interests include neuroimaging genetics, brain aging, and the application of machine learning to neuroimaging data. He has developed software tools for analyzing brain connectivity and functional networks, with a focus on schizophrenia, Alzheimer’s disease, and other psychiatric disorders. Kaufmann is also involved in collaborative initiatives like the ECNP NeuroImaging Network to promote open science and data-sharing in mental health research. His lab at NORMENT focuses on integrating multimodal data (e.g., MRI, genetics) to study brain disorders, while his role at the University of Tübingen emphasizes advancing neurotechnological methods. He has no listed awards but has published extensively in top journals like Nature Neuroscience and NeuroImage, with a strong emphasis on computational psychiatry and neuroimaging methodologies.

Ole Marius Hoel Rindalمشاهده پروفایل

مدرس ارشد

• Medical Ultrasound Imaging
• Sensor Technology
• Signal Processing
• +۳ مورد دیگر

Ole Marius Hoel Rindal is a Senior Lecturer at the University of Oslo (UiO), affiliated with the Department of Informatics (IFI) and the Digital Signal Processing and Image Analysis research group. His research focuses on medical ultrasound imaging, sensor technology, and sports science applications. He holds a PhD in medical ultrasound beamforming from UiO and co-founded Sonair, a company developing 3D ultrasonic sensors for industrial use. Education: PhD in Medical Ultrasound Imaging, University of Oslo (2014) Research Interests: His work spans adaptive beamforming in medical ultrasound, real-time blood pressure monitoring, and biomechanical analysis of cross-country skiing techniques using microsensors and machine learning. Key contributions include advancements in software beamforming, coherence-based aberration correction, and the development of open-source ultrasound tools like the UltraSound Toolbox (USTB). Publications & Trends: Recent work emphasizes clinical validation of ultrasound technologies (e.g., fetal imaging, echocardiography) and algorithmic innovations in beamforming. Collaborations with SINTEF MiNaLab and industry partners highlight practical applications in robotics and athlete performance optimization. Awards: No specific honors listed. Advising & Grants: Guidance on projects involving wearable sensors for blood pressure monitoring and sensor-based athlete analysis. Active in open-source software development for medical imaging. Teams & Labs: Leads the Digital Signal Processing and Image Analysis group at UiO, collaborating with industry (Sonair) and academic partners on sensor innovation and imaging systems.

• Distributed Systems
• Parallel Databases
• Query Processing
• +۳ مورد دیگر

Kjetil Nørvåg is a Professor at NTNU's Department of Computer and Information Science, affiliated with the Data and Artificial Intelligence group. His research focuses on distributed systems, database technologies, and large-scale data processing. He teaches courses covering data mining, big data architecture, information retrieval, and distributed systems. Nørvåg leads significant research projects including the Norwegian Center for Research-based AI Innovation (NorwAI, 2020-2028) and Big Data & Machine Learning collaboration with DNB (2018-2023). His publication record includes nearly 200 works addressing challenges in database systems and information retrieval.

• Genetics and Genomics
• Physics
• Natural Resource Management
• +۷ مورد دیگر

Rune Andreassen is a Professor at the Faculty of Health Sciences , Department of Life Sciences and Health at OsloMet - Storbyuniversitetet. His research spans interdisciplinary domains including Genetics and Genomics, Forensic Genetics, miRNA regulation, and environmental stress responses in aquatic species like Atlantic salmon ( Salmo salar ). Specializes in method development for deep sequencing and characterization of genes. Active in studying epigenetic regulation by miRNAs in Atlantic salmon, particularly in disease response and osmotic stress adaptation. Collaborates on databases such as MicroSalmon , integrating miRNA target transcripts and cis-regulatory elements. Research Trends: Recent publications focus on miRNAome analysis, transcriptome profiling, and splice variants in salmonids. His work bridges molecular biology and aquaculture, with applications in fish health and conservation genetics. Education and Affiliations: Affiliated with OsloMet since at least 2002, Rune has contributed to projects involving CRISPR methodology, wildlife DNA sampling, and salmonid genomics.