جست‌وجوی استاد و پژوهشگر

Nanna Lienمشاهده پروفایل

استاد

• Nutritional Epidemiology
• Public Health Nutrition
• Child and Adolescent Health
• +۵ مورد دیگر

Nanna Lien is a Professor in Nutritional Epidemiology at the University of Oslo's Faculty of Medicine, affiliated with the Division of Nutritional Epidemiology. She holds additional roles such as Deputy Editor of the International Journal of Behavioral Nutrition and Physical Activity , and membership in the Norwegian National Nutrition Council. Her research focuses on dietary habits, obesity prevention interventions, and socio-economic disparities in health outcomes, particularly among children and adolescents. Education: PhD in Public Health Nutrition (2002, University of Oslo), Cand. Agric. in Food Science (1996, Norwegian Agricultural University). Prior roles include Researcher at the Norwegian Institute of Public Health (2009-2011) and postdoctoral fellow (2002-2007). Research Interests: Factors influencing food habits across populations Policy development for healthy eating Socioeconomic disparities in diet-related health Longitudinal studies on childhood obesity trajectories Publications: Over 150 peer-reviewed articles, with recent focus on youth participation in policy design (CO-CREATE project), systems modeling of obesity mechanisms, and neighborhood-level determinants of physical activity. Key themes include participatory interventions, policy evaluation frameworks, and interdisciplinary systems approaches. Grants & Projects: Lead researcher in FRESKO (Cancer Prevention through Schools), KoloPrev (Colorectal Cancer Screening), and OBCT (Obesity Risk Trajectories). Active in EU-funded initiatives like CO-CREATE and DEDIPAC. Labs/Teams: Collaborates with the Leibniz Institute for Epidemiology (Germany) and the Norwegian Institute of Public Health. Leads the University of Oslo's Nutritional Epidemiology research group.

Henrique Musseli Cezarمشاهده پروفایل

پژوهشگر

• Computational Physics
• Theoretical Chemistry
• Molecular Simulation
• +۳ مورد دیگر

Henrique Musseli Cezar is a Researcher at the Hylleraas Centre for Quantum Molecular Sciences within the Department of Chemistry at the University of Oslo. His research focuses on developing molecular simulation methods, particularly applying machine learning potentials to study phenomena such as ionic conductivity in metal-organic frameworks. He holds a Ph.D. in Physics from the University of São Paulo, with postdoctoral experience at both the University of Oslo and the University of São Paulo, where he investigated computational nanofluidics and Monte Carlo methods. Research Interests : His work spans Computational physics and theoretical chemistry, Machine learning-enhanced molecular dynamics, Nanostructured materials and their applications in environmental science, Monte Carlo and Metainference methods, Phase behavior and adsorption properties in nanomaterials. Awards : He has received notable recognition including the Best PhD thesis in Atomic/Molecular Physics (Brazilian Physical Society), Top Downloaded Paper awards, and multiple poster/flash talk accolades for his contributions to molecular simulation and computational methods. Grants & Fellowships : His postdoctoral research was supported by FAPESP (Brazil) for nanofluidics studies, CAPES and CNPq fellowships for his Ph.D. and Master’s research, Current affiliation with the Hylleraas Centre funded by Norwegian research grants. Labs & Collaborations : Active in the Hylleraas Centre, he collaborates internationally on projects blending computational and experimental approaches, such as the H2O-MOF initiative and studies on surfactant structures and greenhouse gas adsorption.

Jukka Coranderمشاهده پروفایل

استاد

• Bayesian Statistics
• Inference Methods
• Stochastic Simulation Algorithms
• +۷ مورد دیگر

Jukka Corander is a Professor at the University of Oslo's Department of Biostatistics, Faculty of Medicine, and concurrently holds positions at the University of Helsinki's Department of Mathematics and Statistics. He specializes in Bayesian statistics, microbial genomics, and evolutionary biology, with a focus on bacterial pathogen evolution and antibiotic resistance mechanisms. Affiliations: Professor, Department of Biostatistics, University of Oslo (since 2016) Professor, Department of Mathematics and Statistics, University of Helsinki (since 2009) Former roles at Åbo Akademi University and Churchill College, University of Cambridge Research Interests: Bayesian inference methods, stochastic simulation algorithms, machine learning applications in genomics, population genetics of bacteria, and forensic statistical analyses. Key Awards: 2015 Cozzarelli Prize (PNAS) for groundbreaking work on bacterial pathogen evolution 2008 Per Brahe Award (Young Scientist of the Year) Grants & Leadership: ERC StG Grant (SmartBayes, 2009–2014) COIN Centre of Excellence (Vice-Director, 2015–2017) Leadership roles in Helsinki Institute of Information Technology (HIIT) Labs & Collaborations: Leads the Corander Lab, focusing on computational methods for microbial genomics and evolutionary analysis. Collaborates globally on projects involving antibiotic resistance, pathogen transmission, and epidemiological modeling.

Sondre Hilmar Hopen Eliassonمشاهده پروفایل

پژوهشگر

• Computational Chemistry
• Theoretical Chemistry
• DFT (Density Functional Theory)
• +۶ مورد دیگر

Sondre Hilmar Hopen Eliasson is a Researcher (Postdoctoral Fellow) at the University of Oslo's Department of Chemistry, affiliated with the Hylleraas Centre for Quantum Molecular Sciences. His academic journey includes a Bachelor’s in Nanotechnology (2011), Master’s in Nanoscience/Atomic Physics (2014), and a PhD in Theoretical Chemistry (2020). He has also served as a Researcher in CO2 conversion (2021) and taught courses such as KJEM220 (Molecular Modeling) and KJEM221 (Quantum Chemistry) at the University of Bergen. His research focuses on computational methods for investigating chemical reactions, with expertise in Density Functional Theory (DFT), machine learning in molecular dynamics, and catalyst design. Key topics include lithium halide cluster behavior, olefin metathesis catalysis, and sustainable chemical processes. His work bridges theoretical chemistry with practical applications in materials science and green chemistry. Recent publications highlight advancements in understanding lithium halide morphologies in solvents, automated catalyst design, and fatty acid deoxygenation mechanisms. He actively contributes to interdisciplinary projects, such as interactive visualization tools for molecular design. No scientific awards are listed, but his research has been published in high-impact journals like Journal of the American Chemical Society and Chemical Science . His affiliation with the Hylleraas Centre underscores his involvement in cutting-edge quantum molecular sciences.

• Theoretical and computational chemistry
• Quantum molecular sciences
• Enzyme catalysis
• +۴ مورد دیگر

Bjarte Aarmo Lund is a Postdoctoral Fellow in Theoretical and Computational Chemistry at the Hylleraas Centre for Quantum Molecular Sciences , Department of Chemistry, UiT The Arctic University of Norway. His role combines advanced computational research with active teaching responsibilities and science-outreach activities. Education & Qualifications While explicit degrees are not detailed on the page, his position as Postdoctoral Fellow and extensive first-author contributions in high-impact journals imply prior doctoral training in computational chemistry or a closely related field. Research Interests Bjarte’s work sits at the intersection of computational chemistry , enzyme catalysis , and drug discovery . Key themes include: Quantum-mechanical and empirical valence-bond (EVB) simulations of enzymatic reactions Fragment-based inhibitor design targeting antibiotic-resistance enzymes such as OXA-48 Design and optimization of cold-adapted enzymes for biotechnology Development of nitroxide spin probes and conformational tuning for improved EPR spectroscopy Publication Trends Across more than 30 peer-reviewed articles (2017–2024), a clear trajectory emerges from fundamental method development (thermodynamic parameter extraction software ThermoSlope) to applications in medicinal chemistry, structural biology, and enzyme engineering. Recent work coalesces around antibiotic-resistance mechanisms and rational inhibitor discovery, leveraging both crystallographic and advanced computational approaches. Scientific Outreach & Recognition National finalist, Forsker Grand Prix 2017 (science-communication competition) Frequent contributor to Morgenbladet and Forskning.no, translating complex science for the public Lecturer and laboratory supervisor in multiple undergraduate and graduate chemistry courses Teaching & Mentoring Bjarte has served as course responsible for KJE-8705 (Fall 2021), delivered seminars in KJE-1001 General Chemistry , supervised labs in FAR-2021 and MNF-6001 , and lectured in KJE-6001 . His mentoring activities focus on practical computational and experimental training, although no PhD students are explicitly listed.

• Electronic Structure Chemistry
• Quantum Chemistry
• Computational Chemistry
• +۵ مورد دیگر

Ida-Marie Høyvik is a Professor in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Natural Sciences. Her research focuses on electronic structure theory, particularly developing particle-breaking wave function models for open molecular systems. She was a Young CAS Fellow (2022-2024), exploring applications of these models to redox processes. Key contributions include advancements in multilevel Hartree-Fock and coupled cluster methods, and software development (e.g., the eT program). Her teaching includes courses in quantum chemistry, nanotechnology, and data analysis in chemistry. Notable projects involve funded research from the Research Council of Norway and collaborations on educational strategies linking mathematics and engineering. Research Themes: Electronic structure models, wave function theory, redox processes, and computational methods. Awards: Young CAS Fellow (2022-2024). Supervised Theses: Includes doctoral work on real-time coupled-cluster approaches and master’s projects on multilevel Hartree-Fock and coupled cluster methodologies. Software Contributions: Co-developer of the eT electronic structure program. Recent publications highlight innovations in particle-breaking frameworks, fractional charging models, and linear-scaling implementations for large systems. Her work bridges theoretical advancements with practical applications in molecular dynamics and material science.

Simon Elias Schraderمشاهده پروفایل

پژوهشگر ارشد

• Quantum Mechanics
• Numerical Methods
• Many-body Systems
• +۴ مورد دیگر

Simon Elias Schrader is a Research Fellow and PhD candidate in the Department of Chemistry at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His research focuses on quantum mechanics, numerical methods for many-body systems, and applications in quantum computing and machine learning. He holds a Master’s degree in Computational Science: Chemistry from the University of Oslo, where he authored a thesis on Eigenvector Continuation in quantum chemistry. Education: Master’s in Computational Science: Chemistry, University of Oslo (Thesis: Eigenvector Continuation in Quantum Chemistry) Research Interests: Schrader’s work spans numerical solutions to the time-dependent Schrödinger equation, optimization techniques, and the integration of machine learning into quantum dynamics. He actively explores quantum computing frameworks and coupled cluster theory, aiming to advance computational methodologies in theoretical chemistry. Teaching: He has served as a teaching assistant for courses including KJM1101, KJM2601, KJM3310/KJM4310, KJM5600, and KJM5631 since 2022. Awards: 2022: Prize for the best Master’s thesis at the Department of Chemistry, University of Oslo Labs/Groups: Member of the Theoretical Chemistry research group at the Department of Chemistry.

Franz Georg Fuchsمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Error Correction
• Several Complex Variables
• +۳ مورد دیگر

Franz Georg Fuchs is an Associate Professor at the Department of Mathematics, University of Oslo. He holds a PhD in Applied Mathematics (2009) from the University of Oslo and a Master's degree in Mathematics from the Technical University of Munich (2006). His research focuses on developing quantum computing algorithms and quantum error correction, with contributions to numerical methods in fluid dynamics and magnetohydrodynamics. Education: PhD in Applied Mathematics, University of Oslo, 2009 Master's in Mathematics, Technical University of Munich, 2006 Research Interests: Quantum computing algorithms, quantum error correction, numerical methods for PDEs, computational fluid dynamics, and operator algebras. His work bridges theoretical foundations with practical applications, including software development for quantum reservoir computing and optimization frameworks like QAOA. Publications: Over 20 peer-reviewed articles in journals like Quantum , Journal of Computational Physics , and SIAM Journal on Scientific Computing . Recent work emphasizes quantum software tools and constrained optimization techniques. Awards: None explicitly listed. Active in research projects like the Gemini Center on Quantum Computing and the QOMBINE initiative. Labs/Teams: Involved in the Mathematics for Quantum Computing and Many-Body Theory (QOMBINE) project, collaborating with SINTEF and international researchers.

Lars Erling Bråtenمشاهده پروفایل

استاد

• Radio systems
• Micro satellites
• Satellite communications
• +۲ مورد دیگر

Lars Erling Bråten serves as a Professor II at the Department of Technology Systems (ITS) within the Faculty of Mathematics and Natural Sciences at the University of Oslo. He holds a 20% position at the institution, working specifically within the Section for Autonomous Systems and Sensor Technologies. His research and teaching activities focus on radio- and satellite communication systems, with particular emphasis on satellite communications education. Bråten's primary research interest centers on the utilization and design of micro satellites for communications solutions in the High North region. His work spans multiple specialized areas including radio systems, micro satellite technology, and communications infrastructure for Arctic and sub-Arctic environments. His research has significant practical applications for improving satellite communication reliability in challenging northern latitudes where conventional systems face unique atmospheric and environmental obstacles. His publication record demonstrates consistent contributions to satellite communications research, with numerous articles in prestigious IEEE journals and conference proceedings. The research trends show a strong focus on practical measurement campaigns in Norwegian environments, addressing specific challenges of satellite communications at high latitudes including signal attenuation, site diversity techniques, and propagation characteristics at various frequency bands (Ka-band, X-band, K-band). His work often involves detailed field measurements and practical implementation approaches rather than purely theoretical studies. Bråten has established a pattern of collaboration with Norwegian researchers including Terje Tjelta, Michael Cheffena, and Martin Rytír, among others, indicating strong domestic research networks within Norway's satellite communications community. His work bridges academic research with practical applications for maritime and military communication systems in northern regions.

Kristin Gustavsonمشاهده پروفایل

استاد

• Quantitative methods
• Data simulation studies
• Causality
• +۴ مورد دیگر

Kristin Gustavson is a Professor at the Department of Psychology, University of Oslo, since 2022. She holds dual affiliations as a Researcher at the Norwegian Institute of Public Health since 2012 and has served as an Associate Professor II at the University of Oslo from 2015 to 2020. Her academic interests span quantitative methods, behavioral genetics, personality psychology, mental health, and developmental psychology. She specializes in causal inference methodologies and has developed the SibSim app to address biases in sibling control studies. Gustavson's research focuses on understanding familial and environmental influences on mental health, ADHD, and developmental outcomes. Her work frequently employs large-scale cohort studies, including the Norwegian Mother, Father, and Child Cohort Study (MoBa). She has contributed to advancements in psychometric validation, such as the Norwegian version of the D70 personality assessment tool. Her teaching responsibilities include courses on research methods, developmental psychology, personality psychology, and clinical training. She is a Section Editor for the Personality section of the Scandinavian Journal of Psychology . Her research has been widely published in top-tier journals like European Journal of Epidemiology and Psychological Medicine . Gustavson holds a PhD from the Norwegian Institute of Public Health (2012) and prior experience as a clinical psychologist (2002–2009). She leads projects on methodological development in epidemiological studies and collaborates on initiatives like the TOPP study tracking child development from infancy to adulthood.

• Solar Physics
• Plasma Physics
• Astrophysics
• +۶ مورد دیگر

Juan Martinez Sykora is an Adjunct Professor at the Rosseland Centre for Solar Physics, part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on understanding solar atmospheric phenomena, including chromospheric dynamics, magnetic reconnection, and coronal heating through numerical simulations and observational analysis. His work involves advanced modeling using codes like Bifrost, investigating processes such as multifluid effects, ion-neutral interactions, and thermal instabilities in the solar atmosphere. Key contributions include studies on spicules, nanoflares, and the role of magnetic fields in structuring solar plasma. Recent publications highlight investigations into thermal conduction, coronal energy release via MHD avalanches, and the impact of nonequilibrium ionization on chromospheric behavior. Collaborations with institutions such as NASA, Stanford, and the University of Cambridge underscore his international research network. As part of the Rosseland Centre, he contributes to projects like MUSE (Multi-slit Solar Explorer) and leverages data from missions like IRIS and ALMA to bridge theory with observational insights. His research aims to unravel fundamental questions about solar activity and its implications for space weather.

Farbod Hassaniمشاهده پروفایل

پژوهشگر

• Cosmology
• Modified Gravity
• Dark Energy
• +۳ مورد دیگر

Farbod Hassani is a Researcher in Cosmology at the University of Oslo, Norway, with a focus on dark energy, modified gravity, and large-scale structure. He holds a PhD from the University of Geneva (2020) and MSc/BSc degrees from Sharif University in Physics and Mathematics. His research explores nonlinear cosmological dynamics using N-body simulations and effective field theory. Key areas include probing dark energy models, gravitational wave signatures from dark sector phenomena, and machine learning applications in cosmological datasets. Education: PhD in Cosmology - University of Geneva (2016-2020) MSc in Physics/Cosmology - Sharif University (2014-2016) BSc in Physics & Pure Mathematics - Sharif University (2009-2014) Recent work analyzes cosmic velocity fields, dark matter halo properties, and gravitational wave emission from domain walls. He contributes to the Euclid mission by simulating non-standard cosmologies. Hassani's studies bridge theoretical frameworks (e.g., k-essence, effective field theory) with observational probes like lensing and large-scale structure. Lab affiliations include the Cosmology and Extragalactic Astronomy group at UiO. Current projects focus on instability mechanisms in dark energy models and relativistic N-body simulation techniques.

• Cosmology
• Astrophysics
• Galactic Dynamics
• +۳ مورد دیگر

Robert Bleckert Nils Håkan Wissing is a Research Fellow at the Department of Astrophysics, University of Oslo. His work focuses on cosmology and astrophysics, particularly galactic dynamics, magnetohydrodynamics, and numerical simulations using smoothed particle hydrodynamics (SPH). He has contributed to studies of planetary impacts, galactic dynamo processes, and magnetorotational instability. Research Interests include: Galactic structure and evolution Numerical methods in astrophysics Computational modeling of plasma systems Planetary formation processes Recent publications (2020-2023) emphasize SPH-based simulations, with a focus on MHD applications and planetary impact dynamics. His research bridges theoretical models with high-performance computational techniques. Participates in the Cosmology and Extragalactic Astronomy Research Group at the University of Oslo.

Kevin Ching Wei Liمشاهده پروفایل

دانشیار

• Nuclear Structure
• Nuclear Clustering
• Nuclear Astrophysics
• +۳ مورد دیگر

Kevin Ching Wei Li is an Associate Professor in Nuclear and Energy Physics at the University of Oslo. His research focuses on nuclear structure, particularly nuclear clustering, nuclear astrophysics, and medical applications of nuclear physics. He holds a PhD from the University of Stellenbosch (2020) and completed postdoctoral fellowships at the University of Oslo (Marie Skłodowska-Curie Actions) and iThemba LABS, South Africa. He received the 2016 John Todd Morrison Research Medal for his work. Li collaborates with the Oslo Cyclotron Laboratory (OCL) and the PANDORA collaboration, advancing studies in photonuclear reactions and nuclear astrophysics. His experimental work involves advanced techniques like in-situ scattering and detector development. Education: BSc (2012), MSc (2015), Honors (2013), PhD (2020) in Nuclear Physics from University of Stellenbosch.

• Environmental Policy
• Climate Change
• Urban Planning
• +۳ مورد دیگر

Ragnhild Batseba Ødegaard Skaugen is a Doctoral Research Fellow at the Department of Social Sciences, affiliated with the Faculty of Humanities, Social Sciences and Education at UiT The Arctic University of Norway. Her research focuses on environmental policy, climate change adaptation, and sustainable land use planning. She is part of the 'Sted, Makt og Mobilitet' (Space, Power and Mobility) research group and the Governance and Democracy cluster. Her work explores collaborative approaches to climate, environmental, and energy planning, emphasizing discourse analysis and participatory methodologies. Recent publications address just transitions in Arctic regions, co-creation simulations, and sustainable coastal rural land use. Earlier research includes multidimensional analysis of bicyclist preferences in urban infrastructure design. Ragnhild holds a strong focus on governance frameworks and policy implementation, with particular attention to Arctic sustainability challenges. Her research often integrates narrative analysis and policy discourse to address complex environmental issues.