جست‌وجوی استاد و پژوهشگر

• Biomass and Bioresources Utilization
• Wood Chemistry
• Biofuels
• +۳ مورد دیگر

Carlos Orestes Martin Medina is a Professor of Biomass and Bioresources at the University of Inland Norway (INN) and Visiting Professor at Umeå University (Sweden). His research focuses on sustainable biomass utilization, including biofuels, biorefineries, lignocellulose pretreatment, and agricultural waste valorization. He leads multinational projects such as MUSA (Mushroom for Sustainable Agriculture) and fungal bioconversion initiatives. Medina holds an MSc in Wood Chemical Technology from Leningrad Forest Technical Academy and a PhD in Technical Sciences from the University of Matanzas (Cuba), with postdoctoral training at Risø DTU (Denmark) and Karlsruhe University (Sweden). His career spans institutions in Cuba, Sweden, Germany, and Norway. Research interests emphasize: Biomass fractionation and bioresource optimization Lignocellulosic biofuel production pathways Fungal and microbial bioprocessing for waste valorization Sustainable agriculture via circular economy models His recent publications (2022–2025) demonstrate consistent focus on enzymatic hydrolysis, spent substrate valorization, and integrated biorefineries. Trends include scalable biomass conversion techniques and interdisciplinary approaches combining mycology, microbiology, and green chemistry. Awards & Honors: Alexander von Humboldt Foundation Fellow Project Leadership: Medina directs national/international grants including: NordForsk (MUSA project) Formas (Fungal protein/lipids research) Swedish International Development Cooperation Agency (Biopolymers from quinoa) He co-leads the B3 (Bioinformatics, Biodiscovery & Biorefinery) research group and serves on editorial boards for Bioengineered , Molecules , and Agronomy .

• Sleep Epidemiology
• Chronic Pain
• Insomnia Treatment
• +۴ مورد دیگر

Eivind Schjelderup Skarpsno is a Researcher at the Department of Public Health and Nursing within the Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU). He is affiliated with two research groups: Musculoskeletal Research and Epidemiology and Medical Statistics. His leadership roles include directing sleep projects investigating disease mechanisms and non-pharmacological treatments, and heading the 'Working time, sleep, and health' work package in the STUNTH project examining hospital workers' health. He also teaches epidemiology at the faculty. Research Focus: Dr. Skarpsno's work centers on the bidirectional relationships between sleep disturbances and chronic conditions, with emphasis on: Sleep-pain interactions and insomnia phenotypes Digital therapeutics for sleep disorders in chronic pain patients Impact of shift work on circadian rhythms Causal epidemiological methods and Mendelian randomization Lifespan perspectives on sleep health Publication Trends: His recent articles (2023-2025) predominantly investigate insomnia comorbidities using advanced methodologies. Key themes include: Machine learning applications in sleep monitoring Randomized trials of digital cognitive behavioral therapy Epidemiological studies of musculoskeletal-sleep interactions Mendelian randomization in cardiometabolic sleep research Occupational health implications of sleep disorders Research Leadership: He currently leads multiple projects: STUNTH: Working time and health in hospital staff Digital CBT for insomnia in chronic pain Non-pharmacological sleep interventions in primary care SmaRTWork: Digital return-to-work systems for musculoskeletal disorders Objective physical activity measurement in public health Familial risks of chronic pain and sleep

• Digitalization of society
• Feminist technoscience
• Digital culture
• +۳ مورد دیگر

Shan Wang is a PhD candidate at the Department of Interdisciplinary Studies of Culture at the Norwegian University of Science and Technology (NTNU). Her research focuses on AI applications in labor markets and bias mitigation in human resources management through the Horizon Europe BIAS project. Research interests include: Digitalization of society Feminist technoscience Digital culture Digital labour studies Sociotechnical systems Human-Computer Interaction Recent research trends: Examining power dynamics between humans and AI systems Investigating ethical dimensions of algorithmic decision-making Developing interactive installations for AI transparency demonstration Exploring counterfactual reasoning frameworks for AI ethics Analyzing sociotechnical transformations in recruitment processes Studying agency distribution in AI-powered HR systems Contact: Email: shan.wang@ntnu.no Phone: +4773412931

Kai Olav Ellefsenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Deep Learning
• Evolutionary Algorithms
• +۶ مورد دیگر

Kai Olav Ellefsen is an Associate Professor at the Department of Informatics (IFI), University of Oslo, specializing in biologically inspired artificial intelligence and robotics. He leads research within the Robotics and Intelligent Systems (ROBIN) research group, focusing on how biological principles can inform the development of more intelligent robotic systems. Ellefsen's research interests span multiple areas of artificial intelligence, with particular emphasis on evolutionary algorithms, reinforcement learning, and neuroevolution. His work explores how robots can learn from experience without disrupting previously acquired knowledge, adapt to new situations, interpret sensor data, and build environmental models. He investigates these challenges at various levels of abstraction, from simple simulations to real-world robotic implementations. His research often bridges computer science with biological inspiration to create more robust and adaptive intelligent systems. His recent publications demonstrate a strong focus on quality-diversity optimization, evolutionary robotics, and the application of AI to environmental monitoring and network quality assessment. The research shows a consistent pattern of exploring how diversity in evolutionary algorithms can lead to more robust solutions, how robots can adapt to changing environments, and how predictive models can be transferred across different tasks. There's a clear progression from theoretical exploration of evolutionary algorithms to practical applications in robotics and networking. Norwegian Artificial Intelligence Society Best Master Thesis Award (2010) Ellefsen actively supervises numerous PhD and Master's students, with a current focus on evolutionary robotics, neuroevolution, and AI safety. His supervision portfolio includes both theoretical work on evolutionary algorithms and practical applications in robotics. He has been involved in several research projects including the Predictive and Intuitive Robotic Assistant (PIRC) project. His teaching includes courses such as IN3050/4050 - Introduction to Artificial Intelligence and Machine Learning, and IN5490/9490 - Advanced Topics in Artificial Intelligence for Intelligent Systems. As part of the Robotics and Intelligent Systems (ROBIN) research group, Ellefsen collaborates with researchers working on various aspects of intelligent systems, from theoretical foundations to practical implementations. His work often involves interdisciplinary collaboration, particularly with researchers in mechanical engineering, biology, and environmental science to develop robotic systems with real-world applications.

Cecilie Røeمشاهده پروفایل

استاد

• Painful conditions in the musculoskeletal system
• Rehabilitation of traumatic brain injuries
• Mechanisms of pain and recovery
• +۴ مورد دیگر

Cecilie Røe is a Professor II at the University of Oslo's Faculty of Medicine, Department of Physical Medicine and Rehabilitation. She is a specialist in physical medicine and rehabilitation with extensive experience in research and clinical practice focused on painful conditions in the musculoskeletal system and rehabilitation of traumatic brain injuries. Her educational background includes: MD from University of Oslo in 1987 PhD from University of Oslo in 2001 Dr. Røe's research primarily focuses on understanding mechanisms, clinical course, and effects of interventions on pain, function, activity, and participation in patients with painful musculoskeletal conditions and those recovering from traumatic brain injuries. She leads the CHARM (Research Centre for Habilitation and Rehabilitation Models & Services) project, which aims to improve rehabilitation services through evidence-based models and service organization. Her work often involves large-scale collaborative studies such as the CENTER-TBI initiative, examining various aspects of traumatic brain injury from acute care through long-term rehabilitation. Analysis of her recent publications (2024-2025) reveals a strong focus on traumatic brain injury rehabilitation, with particular attention to quality of life outcomes, unmet healthcare needs, and the relationship between personality traits and recovery. Her research spans multiple disciplines including neurotrauma, rehabilitation medicine, orthopedics, and health services research. Key subfields in her work include outcome measurement, biomarker research, comparative effectiveness studies, and the development of rehabilitation models for both musculoskeletal conditions and traumatic brain injuries. Dr. Røe actively supervises medical students in clinical examination and diagnosis of the musculoskeletal system, and mentors project assignments and researcher track students in her specialized fields. She is involved in multiple research projects including 'Physical activity and graded conditioning training after mild traumatic brain injury,' 'Transitions in treatment after traumatic brain injury,' and 'Rehabilitation needs, rehabilitation services, and costs in the first year after injuries.' She is a key member of the CHARM Research Centre for Habilitation and Rehabilitation Models & Services, as well as research groups focused on rehabilitation after trauma and painful conditions in the musculoskeletal system. Her collaborative approach is evident in her numerous multi-center studies across Europe, particularly through the CENTER-TBI consortium which represents a major international effort to improve understanding and treatment of traumatic brain injuries.

Martin Gieseمشاهده پروفایل

استاد

• Applied Logics
• Formal Methods
• Semantic Web/Semantic Technologies
• +۹ مورد دیگر

Martin Giese is a Professor at the Department of Informatics (IFI), University of Oslo , specializing in applied logics , formal methods , and semantic technologies . He is affiliated with the Data and Knowledge Systems (DKM) research group and has held postdoctoral positions at RICAM, RISC, and Chalmers University of Technology. PhD and Diploma in Computer Science from Universität Karlsruhe (2002/1998) Secretary of the Association of Automated Reasoning and CADE Inc. (2010–2018) Steering Committee member of Tableaux (2009–2017), Vice President (2013–2017) His research focuses on semantic web technologies , ontology-based data access (OBDA) , and industrial applications of formal methods. Key contributions include the development of OptiqueVQS (visual query system for big data) and GeoFault (ontology for geological modeling). Recent publications address SPARQL optimization with SHACL , digital twins , and geological process simulation . Scientific collaborations span institutions like Statoil , Siemens , and ACM/IEEE conferences. His work bridges theoretical logic with practical industrial data challenges , emphasizing user-centric semantic systems and scalable solutions for cross-linked datasets.

• Sustainable Mobility
• Urban Planning
• Inclusive Design
• +۵ مورد دیگر

Wendy Guan Zhen Tan is a Professor of Spatial Planning at the Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences (HVL), and holds a University Lecturer position at Wageningen University & Research (WUR). Her work centers on sustainable mobility and inclusive, just planning to create equitable urban environments through interdisciplinary research bridging European and Asian urban design contexts. Her research integrates digital quantitative tools (GIS/SSx) with ethnographic and social psychological methods, emphasizing mobility justice and inclusive design for marginalized communities. As leader of the Sustainable Mobility and Transport Planning Group (SUSMOB), she develops practical frameworks for policymakers while addressing transport policy and spatial planning intersections. Recent publications (2023-2025) demonstrate consistent focus on justice metrics in spatial planning, sustainable mobility transitions in Global South contexts like Jakarta, and innovative technical applications including drone path planning and urban digital twins. Her work systematically translates theoretical insights into implementable tools for societal stakeholders. Professor Tan directs multiple EU-funded projects (JUST STREETS, MobileWorlds, ARTEMIS), collaborating with municipalities and community organizations to develop mobility justice indices and car-free urban planning solutions. Her teaching employs research-oriented, problem-based learning through real-world projects with Bergen municipality, using adaptive techniques and digital tools to enhance student engagement in courses like MOA256 (Theory of Science) and MOA270 (Urban Form). The SUSMOB research group under her leadership actively transforms academic insights into actionable strategies for industrial and political stakeholders, with ongoing work on human-centered mobility solutions and community-driven urban design initiatives in partnership with Bergen municipality.

• Fisheries Economics
• Climate Change Impacts on Fisheries
• Aquaculture Economics
• +۵ مورد دیگر

Yajie Liu serves as an Associate Professor at UiT The Arctic University of Norway's Norwegian Fisheries College in Tromsø, where she conducts research on fisheries economics, climate change impacts, and marine ecosystem services valuation. Her work spans Arctic fisheries management, aquaculture economics, and recreational fishing valuation, with significant contributions to understanding economic responses to environmental change in marine systems. Dr. Liu's research interests focus on fisheries economics , climate change adaptation , and marine ecosystem services valuation . Her work examines economic valuation methods for marine resources, climate vulnerability assessments for fishing communities, and governance frameworks for sustainable fisheries management. She employs interdisciplinary approaches combining economic modeling, social surveys, and environmental analysis to address complex fisheries management challenges. Analysis of Dr. Liu's recent publications reveals strong focus on climate change impacts on Arctic fisheries, economic valuation of marine resources, and adaptive management strategies. Her work spans multiple geographic contexts including Norway, Canada, India, and Mediterranean regions, demonstrating global relevance of her research. Methodologically, she combines traditional economic valuation techniques with innovative approaches like serious games for stakeholder engagement. Dr. Liu actively collaborates with researchers across UiT and internationally, particularly in projects related to Arctic governance, jellyfish management, and aquaculture sustainability. She is a member of the MRØ research group at the Norwegian Fisheries College, contributing to interdisciplinary fisheries research initiatives. Her research has significant policy implications for sustainable fisheries management under climate change, particularly regarding economic valuation of ecosystem services, adaptive governance frameworks, and community resilience strategies. Dr. Liu's work bridges academic research and practical fisheries management through stakeholder engagement and policy-relevant analysis.

Anne Margarita Dyrhol Riiseمشاهده پروفایل

استاد

• Infectious Diseases
• Translational Research
• HIV
• +۷ مورد دیگر

Anne Margarita Dyrhol Riise is a Professor at the Department of Infectious Diseases , University of Oslo and Oslo University Hospital. Her research focuses on translational studies of major global infectious diseases including HIV, tuberculosis, and COVID-19, emphasizing clinical intervention studies, vaccines, immune mechanisms, and diagnostic/prognostic biomarkers with applications in low-income countries and personalized treatment strategies. Head of the Chronic Infections Research Group (CIRG) Principal investigator for EU Horizon 2020 projects and ClinicalTrials.gov studies (NCT04575519, NCT05069623) Supervisor for eight PhD students Recent projects include the SMA-TB stratified medicine algorithm, TBCOX2 therapeutic vaccination trials, and EU-SolidAct pandemic response platform. Collaborations span multiple institutions including Norwegian Institute of Public Health, Stellenbosch University, University of Leiden, and international networks like EUROSIDA and TBnet. Awards include OUS Prize for Outstanding Research Articles (2021) and UiO Teaching Award. Her work demonstrates strong integration of clinical trials, immunology, and global health initiatives, with publications spanning topics from complement activation in severe COVID-19 to host-directed therapies in tuberculosis .

Eric Bartley Christmasمشاهده پروفایل

استاد

• Programming
• Programming languages
• Object-orientation
• +۴ مورد دیگر

Eric Bartley Christmas is a Professor in Programming Technology at the University of Oslo, with contact details including email ericbj@ifi.uio.no and telephone +47 22840853. He is affiliated with the Programming Technology research group and maintains an office at Gaustadalléen 23B, 0373 Oslo. His core research spans: Programming and Programming languages Object-orientation and Design Patterns Distributed systems and Cloud computing Security His work increasingly intersects with medical applications, leveraging computer vision for diagnostics and analysis. Recent publications (2022-2024) reveal a strong trend toward interdisciplinary medical technology, with multiple studies applying deep learning to sperm detection, microcirculation analysis, and capillary measurement. Concurrently, his work extends into transportation systems through edge computing applications for flight and transport mode detection. He actively collaborates within the Programming Technology research group, particularly with Paulo Ferreira, Maged Helmy, and Trung Tuyen Truong on projects bridging computer science with biomedical engineering and mobile systems.

Tor-Morten Grønliمشاهده پروفایل

دانشیار

• Internet of Things
• Machine Learning
• Software Architecture
• +۴ مورد دیگر

Tor-Morten Grønli serves as Associate Professor in Digital Innovation at the University of Oslo's Department of Informatics (IFI), holding a PhD in Computer Science from Brunel University, London. His research bridges theoretical computer science with practical applications in intelligent systems. Specializing in Internet of Things, machine learning, and software architecture , his work demonstrates particular expertise in transport systems and healthcare applications. Recent publications reveal a strong focus on blockchain integration, federated learning for edge networks, and mobile sensor applications - with notable contributions to public transport optimization and medical IoT security. His 15 most recent articles (2023-2025) show consistent publication in high-impact venues including IEEE Transactions and Springer conference proceedings, with recurring themes of secure distributed systems and intelligent transport solutions . Collaborations span international institutions with frequent co-authorship patterns indicating stable research partnerships. Contact information is maintained through the university's standard email format ( tormor@ifi.uio.no ), reflecting active institutional affiliation. No specific research grants or laboratory facilities are detailed in the provided materials, though the publication record suggests ongoing funded research activity.

Roy Edgar Hansenمشاهده پروفایل

استاد

• Synthetic Aperture Sonar
• Signal Processing
• Underwater Acoustics
• +۴ مورد دیگر

Roy Edgar Hansen is Professor II in acoustic imaging at the Department of Informatics, University of Oslo, with his primary position as Chief Scientist at the Norwegian Defence Research Institute (FFI). His work bridges academic research and defense applications in underwater acoustics and signal processing. Hansen's research focuses on synthetic aperture sonar (SAS), imaging techniques, sonar signal processing, array signal processing, and statistical signal processing. His work spans theoretical developments in signal processing algorithms to practical applications in underwater imaging, seabed mapping, and target detection. He has made significant contributions to interferometric SAS, artifact reduction techniques, and the application of machine learning to sonar image analysis. His recent publications demonstrate a strong trend toward integrating advanced signal processing with machine learning techniques for SAS applications. He has published extensively on interferometric SAS for bathymetric mapping, uncertainty quantification in deep learning applications for sonar, and the development of novel processing techniques for point scatterer detection and image enhancement. His work covers both fundamental signal processing theory and practical implementation challenges in underwater environments. Hansen teaches courses including IN5340 Statistical Signal Processing, IN3015 Ultrasound Imaging, and IN5450 Array Signal Processing at the University of Oslo. His research is associated with the Digital Signal Processing and Image Analysis (DSB) research group and the Centre for Innovative Ultrasound Solutions (CIUS) project.

Maja Van Der Veldenمشاهده پروفایل

استاد

• Technology and Society
• Sustainable Technology
• Repair
• +۱۴ مورد دیگر

Maja Van Der Velden is a Professor at the Department of Informatics, University of Oslo, leading the Technology and Sustainable Futures research group within the Digitalization and Sustainability Lab . Her work bridges technology, sustainability, and society, with fieldwork spanning Canada, Ghana, India, Kenya, Netherlands, Norway, and the Middle East. Focus on digital technology's sustainability impacts Advocates for repair, gender equity, and cognitive justice Teaches IN5010/IN9010 Design, Technology & Society Current projects include EMPOWER (sustainable batteries) and Materials Library for the Twin Transition . Past projects like Circular Energy and SMART explored energy conservation and e-waste ethics. Supervises PhD candidates on topics like regenerative design and healthcare tech Chair of the Diversity, Equality, and Inclusion Committee (UiO) Co-founder of Restarters Norway Active in the Sustainable Market Actors Network

• Cerebrovascular Diseases
• Cognitive Function
• Neuromuscular Disorders
• +۲ مورد دیگر

Kjell Arne Arntzen serves as Associate Professor at the Department of Clinical Medicine, UiT The Arctic University of Norway. His research spans cerebrovascular diseases, cognitive function, and neuromuscular disorders with significant contributions to the Tromsø Study – a major longitudinal population investigation in Northern Norway. His primary research interests focus on atherosclerosis progression , cognitive decline associations , and neuromuscular disease epidemiology . Notable work includes the Norwegian LGMDR9 cohort study on limb-girdle muscular dystrophy and extensive analyses linking carotid plaque development to neurological outcomes. His methodology combines advanced imaging techniques with comprehensive biomarker assessment in large population cohorts. Publication trends reveal dual research trajectories: cardiovascular-neurological intersections (2010-2018) and neuromuscular disease focus (2018-2025). Recent work emphasizes rare neuromuscular disorders through the Norwegian LGMDR9 cohort, while earlier research established critical links between subclinical atherosclerosis and cognitive impairment. Arntzen actively collaborates within UiT's research infrastructure as a member of the Brain and Circulation Research Group and associate member of the Neuromuscular Disease Research Group . His work leverages UiT's unique position in Northern Norway for studying population-specific disease patterns. Current research involves longitudinal monitoring of neuromuscular disease progression, cardiovascular comorbidities in rare disorders, and refinement of imaging biomarkers for early disease detection. His Tromsø Study contributions continue to inform clinical practice through population-level evidence on vascular risk factors.

• Mitochondrial Biology
• Cardiovascular Disease Mechanisms
• Super-Resolution Microscopy
• +۳ مورد دیگر

Åsa Birna Birgisdottir is an Associate Professor at the Department of Clinical Medicine , UiT The Arctic University of Norway , where she leads the experimental molecular biology research activity and serves as Deputy Head of the Cardiovascular Research Group. Her work focuses on mitochondrial quality control in heart cells, particularly through autophagy mechanisms, and she has established a human engineered heart tissue (EHT) model. Primary Research Area: Mitochondrial dynamics in cardiomyocytes Key Techniques: Super-resolution microscopy, machine learning-based image analysis Projects: VirtualStain, NanoAI Her recent publications emphasize mitochondrial morphology quantification, mitophagy induction, and development of advanced imaging methodologies. She supervises students across Bachelor’s to PhD levels in biomedical disciplines.