جست‌وجوی استاد و پژوهشگر

• Heterogeneous Catalysis
• Surface Science
• Industrial Chemistry
• +۷ مورد دیگر

Hilde Johnsen Venvik is a Professor at the Department of Chemical Process Technology, NTNU, within the Faculty of Natural Sciences. She holds a Master of Science in Engineering Physics (NTH, 1993) and a Doctor of Engineering (NTNU, 1998), focusing on experimental surface science using Scanning Tunneling Microscopy. Her research spans heterogeneous catalysis, surface science, and industrial applications in gas conversion and renewable energy. She led the Gas Technology Center NTNU-SINTEF (2010–2015) and currently heads the iCSI Center for Research-Driven Innovation (since 2015), a collaboration with industry partners like Yara and academic institutions. Venvik has published ~80 articles, holds an h-index of 27, and supervised 8 PhD students as primary advisor and 38 master’s students. Her work emphasizes process intensification via microstructured reactors and membrane technology, with international collaborations in Germany and the USA (e.g., University of Wisconsin-Madison). Research interests include catalytic systems for hydrogen production, CO oxidation on Pd-Ag surfaces, and metal dusting corrosion in industrial alloys. She has pioneered studies on cobalt catalysts for Fischer-Tropsch synthesis and developed advanced hydrogen separation membranes. Venvik’s iCSI initiative aims to advance industrial catalysis through innovation, educating 15 PhDs and 7 postdocs over 8 years with a 192 MNOK budget.

• Spatio-temporal statistics
• Computational statistics
• Geophysics
• +۴ مورد دیگر

Jo Eidsvik is a Professor at the Department of Mathematical Sciences, NTNU. His research focuses on spatio-temporal statistics, computational statistics, and their applications in Earth sciences, geophysics, and data assimilation. He leads projects like the Center for Geophysical Forecasting (SFI-CGF), GEOPARD, and MASCOT. He has authored a seminal book on 'Value of Information in the Earth Sciences' (2017), recognized with a runner-up award by INFORMS. Eidsvik has supervised numerous PhD and MSc students, including current advisees André Olaisen and Oscar Ovanger. He holds editorial roles in 'Mathematical Geosciences' and 'Statistics and Computing'. Education: MSc in Applied Mathematics (University of Oslo, 1997), PhD (NTNU, 2003). Industry experience includes roles at the Norwegian Defense Research Establishment and Statoil. He has been a visiting scholar at Stanford University and Duke University. Research highlights include Bayesian inversion methods, adaptive sampling with autonomous vehicles, and value of information analysis in decision-making. Recent work explores machine learning for irregular time series (ML4ITS) and oceanographic data assimilation. Over 60 MSc theses supervised, emphasizing interdisciplinary approaches. Labs/Teams: Center for Geophysical Forecasting (SFI-CGF), GEOPARD, MASCOT, Games. Grants/Awards: INFORMS Decision Analysis Society award (2017), extensive project funding through SFI and industry. Key Projects: Havvarsel (ocean data), CO₂ storage monitoring, and robotic sampling systems.

• Work and Health
• Occupational Rehabilitation
• Cross-sectoral Collaboration
• +۴ مورد دیگر

Karen Walseth Hara is an Associate Professor at the Department of Community Medicine and Nursing, Faculty of Medicine and Health Sciences, NTNU. She also serves as a coordinating consultant at NAV Advisory Service Trøndelag and has held roles at St Olavs Hospital and NAV. Her work focuses on cross-sectoral collaboration between healthcare, social security, and workplace systems. Education: Cand. med. from NTNU (1994), Doctorate in Community Medicine (2019) Research interests include occupational rehabilitation, chronic pain management, and improving return-to-work outcomes through structured collaboration between healthcare providers and social security services. Her work emphasizes interdisciplinary approaches to address sick leave and disability challenges. Recent publications explore cross-sectoral collaboration effectiveness, surgical outcomes on work participation, and patient care pathways for pain management. She has contributed to books on social security medicine and public health policy. Key projects: Samsnakk collaboration model, Expert@Work initiative Grants: Multiple research projects funded through NTNU and national health initiatives Affiliated with the National Competence Service for Complex Symptom Disorders and leads the Work and Health program under NTNU-NAV collaboration.

Thea Bjørnlandمشاهده پروفایل

دانشیار

• Statistical Methodology
• Genetic Association Studies
• Hypothesis Testing
• +۶ مورد دیگر

Associate Professor Thea Bjørnland holds a position in the Department of Mathematical Sciences at NTNU, within the Faculty of Information Technology and Electrical Engineering. She obtained her MSc in Industrial Mathematics (NTNU, 2014) and PhD in Statistics (NTNU, 2019). Her research focuses on statistical methodology for genetic association studies, hypothesis testing, and pedagogical innovations in statistics education. She leads the Statistics for Engineers project, developing hybrid and computation-based curricula across NTNU campuses. Key research interests include extreme phenotype sampling designs, score tests in missing covariates, and educational technology integration. Recent work explores calculus education trends among engineering students and salmon lice delousing dynamics in aquaculture. She has published in Nordic Journal of STEM Education , Statistics in Medicine , and Nature Communications . Teaching responsibilities include statistics courses for engineering programs (e.g., ISTT1001, TMA4245). She develops R Shiny apps for interactive learning, focusing on descriptive statistics, probability distributions, and error propagation. Current projects analyze student learning goals and engagement with digital resources. Collaborative efforts include statistical software development (R package extremesampling ) and interdisciplinary work in genetics and aquaculture. She actively participates in STEM education conferences and pedagogical workshops.

• Bayesian Statistics
• Spatial Statistics
• Disease Mapping
• +۳ مورد دیگر

Andrea Ingeborg Riebler is a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU). Her research focuses on Bayesian statistics, spatial modeling, disease mapping, and statistical software development. She is a leading contributor to the R-INLA framework for Bayesian hierarchical modeling and has developed packages like SUMMER and makemyprior for spatial-temporal analysis and prior elicitation. Her work bridges methodological advancements with applications in public health, demography, and epidemiology. Key research interests include spatial epidemiology, meta-analysis, and robust statistical modeling. She collaborates widely, particularly with researchers in geostatistics, computational statistics, and health sciences. Notable contributions include methods for small-area estimation in low/middle-income countries, cancer burden projections, and addressing positional uncertainty in geostatistical surveys. Her recent publications (2023–2025) emphasize scalable disease forecasting, mortality-based cancer incidence prediction, and improving DHS data analysis through positional adjustment. Teaching includes advanced computational statistics, survival analysis, and statistical modeling for biologists. Education: Doctoral dissertation work at NTNU (2021) focused on robust hierarchical models. Grants/Projects: Active in international health surveys (e.g., European Social Survey Health Inequalities Module). Labs/Teams: Collaborates with the NTNU Statistics Group and global health data initiatives.

• Industrial Ecology
• Environmental Science
• Sustainable Product Design
• +۳ مورد دیگر

Kamila Krych is a Researcher affiliated with the Norwegian University of Science and Technology (NTNU), based at the Science Building (E4-160, Gløshaugen). Her work focuses on industrial ecology, environmental science, and sustainable product design. She completed her doctoral thesis in 2025 titled Lifetimes of consumer products: modeling, trends, and policy for lifetime extension , supervised by Johan Berg Pettersen. Her research explores product lifetimes, circular economy strategies, and climate policy implications. Key contributions include analyzing lifetime trends of appliances, evaluating Norwegian clothing systems, and modeling GHG emissions in Brazilian office buildings. She has published in journals like Journal of Industrial Ecology and Resources, Conservation and Recycling , and presented at conferences such as the International Society for Industrial Ecology (ISIE) and PLATE. Krych collaborates with institutions like Aalto University and Leiden University. She has engaged in public outreach through interviews and webinars, addressing topics like clothing recycling and policy effectiveness. Her work bridges technical modeling with societal impacts, emphasizing systemic sustainability solutions.

Tomás Cordero-Lanzacمشاهده پروفایل

پژوهشگر

• Catalysis
• Chemical Engineering
• CO₂ Hydrogenation
• +۴ مورد دیگر

Tomás Cordero-Lanzac is a researcher at the Department of Chemistry, University of Oslo, affiliated with the Centre for Materials and Nanoscience (SMN). He holds a Doctorate in Chemical Engineering from the University of the Basque Country (2019) and has extensive experience in catalysis, with a focus on CO₂ hydrogenation, methanol-to-olefins processes, and zeolite-based catalyst design. His research combines kinetic modeling, reactor design, and material synthesis to advance sustainable chemical processes. Academic Background: Bachelor's in Chemical Engineering (2014): University of Málaga MSc in Chemical Engineering (2015): University of the Basque Country & University of Cantabria PhD in Chemical Engineering (2019): University of the Basque Country Research Interests: Catalytic processes for CO₂ valorization, methanol conversion to light hydrocarbons, zeolite synthesis and characterization, and reactor engineering for industrial applications. Key Publications (2021–2024): Focus on CO₂ hydrogenation catalysts, MAPO-18 zeotype behavior, and MTO process design. Studies include catalyst stability under high-pressure conditions, acidity effects on reaction kinetics, and life cycle assessments for CO₂ valorization plants. Grants & Collaborations: Recipient of a predoctoral grant (2016–2019) and collaborative grants at the University of Málaga (2013). Conducted research stays at KAUST (2019), University of Oslo (2019), and the Institute of Tecnologia Quimica (2018). Collaborates with institutions like SMN and global partners in catalysis research.

Kirsty Dunnettمشاهده پروفایل

پژوهشگر ارشد

• Geoscience Education Research
• Physics Education Research
• Interdisciplinarity in STEM Education
• +۳ مورد دیگر

Kirsty Dunnett is a Research Fellow in the Geo-didactics section at the University of Oslo's Department of Geoscience Education, established in 2022. Her work bridges physics pedagogy with geoscience education, focusing on student-partnered initiatives like Course Representatives and interdisciplinary teaching strategies. She leads the monthly Geo-didactics journal club, fostering discussions on educational practices across disciplines. Education Background: PhD in Physics (2016), University College London MPhys Theoretical Physics (2012), Lancaster University Research Interests: Kirsty specializes in addressing gaps between disciplinary knowledge (physics, mathematics) and geoscience education. She advocates for student-centered learning through collaborative research practices and multi-perspective educational development. Her work challenges assumptions about student preparedness, emphasizing actionable pedagogical solutions over deficit narratives. Labs & Affiliations: Core member of the iEarth – Centre for Integrated Earth System Education, driving pedagogical innovations in earth system science education.

Eivind Engebretsenمشاهده پروفایل

استاد

• Global Health
• Medical Humanities
• Healthcare Policy
• +۴ مورد دیگر

Eivind Engebretsen is a Professor and Head of the Sustainable Health Unit at the University of Oslo, serving as Dean of Circle U. Open Campus. He holds a dual focus on global health and democracy, particularly interrogating the sustainability paradigm and its core concepts like equity and partnership. His mission includes designing student-led, corpus-assisted datathons to critically analyze sustainability agendas. Engebretsen’s research spans medical humanities, healthcare policy, and SDG implementation, with a focus on health literacy, knowledge translation, and pandemic response. He co-authored Rethinking Evidence in the Time of Pandemics (2022) and leads projects like the Circle U Global Health Chair. Recent work addresses paradoxes in SDG implementation, gendered vulnerabilities in development aid, and translational medical humanities approaches. Education: Not explicitly detailed in provided texts. Affiliations: Sustainable Health Unit, Circle U., Centre for Sustainable Healthcare Education (SHE), and the Medicalisation of Democratic Rights (MEDRA) research group. Research Interests: Engebretsen’s work bridges global health and humanities through critical analysis of sustainability concepts, evidence-based practices, and narrative preparedness. He explores healthcare’s role in democracy, focusing on health policy, equity, and interdisciplinary methods like corpus-assisted discourse analysis. Grants & Collaborations: Leads the Circle U. Chair Programme on Global Health and Democracy, collaborating with institutions like the Swedish University of Agricultural Sciences and Cambridge University Press. Projects include ‘Science, Knowledge and Sustainability in Cultural Translation’ and ‘Disease Prestige’ studies. Lab/Teams: Directs the SHE (Sustainable Healthcare Education) Centre and the Knowledge in Translation (KNOWIT) research group, fostering interdisciplinary approaches to healthcare challenges.

Kjetil Røyslandمشاهده پروفایل

استاد

• Causal Inference
• Survival Analysis
• Health Registries
• +۱ مورد دیگر

Kjetil Røysland is a Professor at the University of Oslo, specializing in causal inference methodologies applied to survival analysis and clinical health registry data. His research focuses on developing statistical techniques for evaluating treatment effects, particularly in continuous-time frameworks involving survival data and event history analysis. He employs advanced mathematical tools such as counting processes, stochastic differential equations, and graph theory to address causal questions in healthcare. His work emphasizes methodological contributions to biostatistics, including causal mediation analysis, time-dependent confounding adjustment, and continuous-time marginal structural models. Røysland collaborates extensively with clinical researchers and contributes to health registries' utilization for improving evidence-based medical decisions. Røysland is affiliated with the Causal Inference and Event History Analysis research group. His publications span high-impact journals like the Journal of the Royal Statistical Society and Biometrics, reflecting his expertise in bridging theoretical statistics with practical healthcare applications.

• Inclusive Education
• Special Education
• Challenging Behavior
• +۴ مورد دیگر

Vibeke Solsvik Foldnes serves as a Senior Lecturer at the Department of Pedagogy, Religion and Social Science, Western Norway University of Applied Sciences, bringing 15 years of primary school teaching experience (until 2014) and a Master's in Pedagogy specializing in Special Education to her academic role. Her educational background includes: Master's in Pedagogy (Special Education focus) Training as a general teacher Dr. Foldnes' research explores the nexus of general and special education, emphasizing inclusive practices, management of challenging behavior, alternative learning environments, teacher-student dynamics, and educational policy. She investigates teacher competence in difficult classroom scenarios and employs case-based methodologies to cultivate professional judgment. Analysis of her 2018-2024 publications reveals consistent focus on collaborative teacher-researcher models for classroom improvement, case-based reflection for pedagogical wisdom development, and practical strategies for inclusive education in diverse settings, particularly addressing behavioral challenges through relational approaches. She actively contributes to national professional development frameworks including decentralized competence development (Dekomp) and the Competence Lift for Special Education, while participating in research groups PedLab and Sirius. No academic advisees or scientific awards are documented in available sources, though she holds responsibility for master's project design (MGUSP501) and thesis supervision (MGUSP550) in Special Education.

Mehdi Poornikooمشاهده پروفایل

پژوهشگر ارشد

• Mental Health
• Health Economics
• Organizational Psychology (Human Factors)
• +۴ مورد دیگر

Mehdi Poornikoo is a Research Fellow at the University of Oslo (UiO), affiliated with the Department of Psychology and the PROMENTA research group. He is part of the HeaLS project, evaluating the implementation of the interdisciplinary subject 'Health and Life Skills' in schools. His academic background includes a PhD in cognitive engineering from a joint program involving the University of South-Eastern Norway (USN), UiT The Arctic University of Norway, NTNU, and HVL. Education: PhD in Cognitive Engineering (2019–2024) MSc in System Dynamics (University of Bergen, 2015–2017) MSc in Economics and Business Administration (NHH, 2011–2014) BSc in Industrial & Systems Engineering (Tehran Azad University, 2001–2007) Research Interests: Poornikoo focuses on mental health, health economics, organizational psychology, system dynamics modeling, cognitive ergonomics, and the philosophy of science. His work integrates dynamic modeling, fuzzy logic, and experimental methods to address challenges in maritime automation, human-AI interaction, and supply chain management. Publications: His research spans maritime autonomous systems, human factors in ergonomics, and supply chain dynamics. Key contributions include studies on trust in automation, system dynamics modeling, and fuzzy logic applications. Awards: Best Paper Award (Emerald Publishing Literati, 2019) Grants & Projects: HeaLS (ERC-funded) and prior roles as a PhD Researcher and Research Assistant at USN. No formal advisees listed, but contributions to courses like 'Human Elements in Maritime Operations.' Labs & Teams: Collaborates with interdisciplinary teams in maritime systems, health education, and cognitive engineering.

Kai Morgan Kjølerbakkenمشاهده پروفایل

دانشیار

• AI
• Computational Physics
• Sensor Technology
• +۲ مورد دیگر

Kai Morgan Kjølerbakken is an Associate Professor in the Department of Electronics at the University of Oslo. He holds roles as Head of Department for Applied Data Science at IFE and has extensive industry experience as CTO and co-founder of multiple companies including Airmont AS, Squarehead Technology, and Elliptic Labs. His research spans AI, computational physics, plasma physics, audio engineering, and sensor technology. His academic background includes leadership in applied data science and strategic research initiatives. He has contributed to projects like the 4DSpace Strategic Research Initiative and maintains affiliations with organizations such as NILU (Norwegian Institute for Air Research) and Vivid AS. His work integrates theoretical physics with practical applications in aerospace, marine biology, and consumer electronics. Key research areas include plasma diagnostics using Langmuir probes, MEMS-based acoustic and biomedical sensors, and real-time audio systems. His publications emphasize numerical modeling of plasma phenomena, optimization of sensor arrays, and innovative acoustic tracking solutions. Kjølerbakken’s industry collaborations highlight his ability to bridge academic research with commercial technology development.

• Environmental Economics
• Resource Economics
• Energy Economics
• +۱۲ مورد دیگر

Knut Einar Rosendahl is a Professor at the Business School of the Norwegian University of Life Sciences (NMBU), where he conducts research and teaches in environmental and resource economics, energy economics, and climate economics. His academic work is deeply policy-oriented, focusing on carbon pricing, climate mitigation strategies, and the economic dimensions of the energy transition. His research interests span Environmental and Resource Economics , Energy Economics , and Climate Economics , with a strong emphasis on carbon leakage, fossil fuel supply, electrification, lithium and critical materials, circular economy, and environmental taxation. His work often employs economic modeling and game theory to analyze market failures and policy design. The recent publications reflect a consistent focus on pressing global challenges: decarbonizing transport, managing carbon markets (EU ETS), designing border carbon adjustments, phasing out coal, and ensuring sustainable extraction of critical minerals like lithium. There is a clear trend toward analyzing the interplay between climate policy, industrial competitiveness, and international trade, with a recurring theme of leakage and distributional impacts. He has no listed scientific awards in the provided text. Knut Einar Rosendahl teaches courses such as Intermediate Microeconomics , Energy Economics , and Climate Economics . While no information is available about his advisees or research grants, his extensive publication record in high-impact journals indicates a strong research program and active collaboration with leading scholars in the field. There is no mention of specific labs or research teams in the provided text.

• Urban Stormwater Management
• Nature-Based Solutions
• Climate Adaptation
• +۳ مورد دیگر

Kim Aleksander Haukland is an Associate Professor in the Department of Civil and Environmental Engineering at the Norwegian University of Life Sciences (NMBU). His work focuses on sustainable urban water systems, with a strong emphasis on stormwater management in cold climate regions. His primary research interests include: Urban stormwater management Modeling of drainage systems Nature-based solutions for climate adaptation Bioretention technologies in cold climates Application of machine learning in environmental modeling The research themes reflect a strong interdisciplinary approach combining civil engineering, environmental science, and climate resilience. Although specific publications are listed via Cristin, no individual articles are detailed in the source text, so trends cannot be further elaborated. He is the course responsible for THT303 Analysis and Design of Systems for Urban Drainage and THT200 Sustainable Stormwater Management, indicating an active role in academic teaching and curriculum development. No scientific awards, student advisement records, or grant funding details are mentioned in the available information. There is no mention of lab affiliations, research teams, or collaborative groups in the provided content.