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Robert HandfieldView profile

Professor

• Supply Chain Management
• Cybersecurity in Supply Chains
• Healthcare Logistics
• +4 more

Robert Handfield is a Professor at North Carolina State University , affiliated with the Department of Bioproducts . He serves as Editor-in-Chief of Logistics and leads the Supply Chain Resource Cooperative , focusing on interdisciplinary research in supply chain systems. Research Keywords: Supply Chain Management, Cybersecurity, Machine Learning, Public Health Analytics Key Collaborations: Amir Hossein Sadeghi, Dayna Simpson, Emel Aktas His research spans supply chain security , healthcare logistics , and machine learning applications in industrial contexts. Recent publications address cybersecurity vulnerabilities, pandemic testing protocols, opioid crisis patterns, and railcar health monitoring systems. Articles demonstrate cross-domain expertise in integrating analytical frameworks with public health and transportation networks. As a leading academic , he contributes to advancing strategic sourcing and supplier development methodologies, while mentoring emerging scholars through collaborative research initiatives at North Carolina State University.

• Rheumatology
• Juvenile Idiopathic Arthritis
• Long-Term Disease Outcomes
• +3 more

Ellen Dalen Arnstad is a medical researcher at the Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences, Department of Clinical and Molecular Medicine. She is a key contributor to the Nordic Juvenile Idiopathic Arthritis (JIA) cohort study, collaborating with researchers across multiple Nordic countries including Norway, Sweden, Denmark, and Finland. Her work focuses on long-term outcomes of JIA patients transitioning into adulthood. Dr. Arnstad's primary research interests center on juvenile idiopathic arthritis, with specific focus on long-term disease outcomes , pain assessment , fatigue measurement , quality of life in young adults with JIA, and disease activity trajectories . Her work employs both clinical assessments and quantitative sensory testing to understand the persistent effects of JIA well into adulthood. Analysis of her publication record from 2018-2024 reveals a consistent focus on longitudinal studies of JIA patients, particularly examining how childhood disease characteristics predict adult outcomes. Her research frequently investigates biomarkers, pain sensitivity, and quality-of-life measures, with a strong emphasis on population-based cohort studies that track patients for 17-18 years after disease onset. Dr. Arnstad completed her doctoral thesis titled "Pain and Fatigue in Young Adults with Juvenile Idiopathic Arthritis – Based on A Nordic Prospective Longitudinal Study" in 2020, establishing her expertise in this specialized area of pediatric rheumatology.

• Robotics
• Point Cloud Registration
• Conformal Geometric Algebra
• +4 more

Adam Leon Kleppe is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences. He works extensively with MANULAB , focusing on robotic welding labs and Industry 4.0 labs , handling procurement, planning, installation, and maintenance. His research spans robotics, geometric algebra, point cloud processing, and automation technologies. Education : Master in Engineering Cybernetics with a specialization in robotics from NTNU (2013); Ph.D. (2018) on Point Cloud Registration for Assembly using Conformal Geometric Algebra. Research Interests revolve around robotics, including inverse kinematics, point cloud alignment, obstacle detection, and geometric algebra applications. He also explores automation in manufacturing and aquaculture, such as deformable body modeling for salmon equipment testing and machine vision for fish bin picking. Publication Trends show a consistent focus on geometric algebra-based solutions for robotic tasks, with recent work extending into biomechanical simulation and aquaculture automation. Teaching includes courses like Mechatronics and Systems Integration , Automation and Mechatronics , and Industrial Control Systems . He also contributes to outreach via program management for AI videos on platforms like YouTube and LinkedIn.

• Chemistry Education
• Biochemistry
• Soft Matter
• +3 more

Andreas Haraldsrud serves as an Associate Professor in the Department of Physics at the University of Oslo, with primary affiliations in the Center for Computational Science Education (CCSE) and Chemistry Didactics Section. His academic profile bridges chemistry education research and nanobiochemistry, focusing on interdisciplinary computational approaches. His research centers on Chemistry Education, investigating cognitive models and meaning-making processes in physical chemistry and biochemistry through computer simulations and artificial intelligence. Concurrently, his Nanobiochemistry work examines soft materials like lipids and proteins using laboratory techniques (confocal microscopy, TIRF, microfluidics) combined with molecular dynamics and machine learning simulations. Teaching responsibilities include Programming for Chemists, Biochemistry, and Science Programming courses for school teachers. Recent publications demonstrate a cohesive research trajectory where computational methods serve as conceptual catalysts in chemistry education, with emerging focus on programming assessment tools and simulation-based sensemaking. His work consistently integrates educational theory with practical computational applications across chemistry and physics domains. Haraldsrud actively contributes to the Center for Computational Science Education and Chemistry Didactics Section, collaborating on projects that develop computational pedagogy frameworks and investigate cognitive processes in science learning through integrated laboratory-simulation methodologies.

Daniel Adrian LunguView profile

Associate Professor

• Health Services Research
• Digital Health Communication
• Pandemic Risk Communication
• +4 more

Daniel Adrian Lungu is an Associate Professor at the Department of Quality and Health Technology within the Faculty of Health Sciences at the University of Stavanger. His work focuses on health services research, particularly pandemic communication, digital health stressors, and olfactory dysfunction assessment. Research Highlights: Digital stressors in academia, pandemic video communication effectiveness, PARPHAIT olfactory testing, and smartphone health apps. Collaborations: Regularly works with multidisciplinary teams across Norway, Europe, and internationally (e.g., Siri Wiig, Kolbjørn Brønnick, Jo Røislien). Methodologies: Utilizes randomized controlled trials, systematic reviews, qualitative studies, and mixed-methods approaches.

• Cybersecurity
• Cognitive Science
• Human Factors
• +3 more

Benjamin James Knox serves as an Adjunct Associate Professor at the Norwegian University of Science and Technology (NTNU), with his work based at the Gjøvik campus. His research bridges cybersecurity with cognitive science, focusing on human factors in cyber defense operations. He maintains an active research profile with numerous publications through NTNU's institutional repository. Dr. Knox's research interests center on the intersection of human cognition and cybersecurity, with significant contributions in cognitive agility for cyber operators, neuroergonomic approaches to threat identification, and the psychological dimensions of cyber warfare. His work explores how cognitive processes, emotional states, and team dynamics influence cyber situational awareness and decision-making in high-stakes environments. Recent research has expanded into extended reality training environments, individual risk assessment for cybersecurity personnel, and the application of digital twins for critical infrastructure protection. His publication record demonstrates consistent output across multiple high-impact venues including Frontiers in Education, IEEE Access, and Lecture Notes in Computer Science. Dr. Knox frequently collaborates with researchers across European institutions, particularly in Norway, Lithuania, and Germany, indicating strong international research networks. His work with NATO Science and Technology Organization highlights the strategic relevance of his research to defense applications. While specific laboratory affiliations aren't detailed in the available information, his publications suggest involvement with cyber defense simulation environments and neuroergonomic testing facilities. His recent focus on extended reality and digital twin technologies indicates engagement with advanced simulation platforms for cybersecurity training.

• Computer Networking
• Quality of Experience (QoE)
• Video Streaming
• +3 more

Bjørn Jonny Villa serves as Associate Professor at the Norwegian University of Science and Technology (NTNU), specializing in computer networking with emphasis on adaptive video streaming and Quality of Experience (QoE) optimization. His research addresses critical challenges in home networks, public WiFi security, and bandwidth management, as evidenced by publications spanning 2010-2014 in top venues including IEEE, Springer, and international journals. Villa earned his PhD from NTNU in 2014 with the dissertation "Enhancing Quality Aspects of Adaptive Video Streaming in Home Networks," establishing foundational work for his subsequent research. His academic journey reflects deep specialization in network performance optimization for multimedia delivery systems. Core research interests include adaptive HTTP video streaming, QoE measurement and optimization, network security vulnerabilities (particularly in public WiFi), and active probing techniques for bandwidth estimation. Villa employs experimental user studies and traffic analysis to develop practical solutions for improving streaming fairness and network resource allocation, with significant contributions to understanding how burst durations and traffic shaping impact user-perceived quality. Analysis of Villa's publication timeline reveals consistent focus on video streaming challenges: early work (2010-2011) established monitoring frameworks and home gateway optimization, mid-period research (2012-2013) advanced fairness algorithms and traffic shaping, while his 2014 output expanded into security implications of public networks. His collaborative approach is evident through recurring partnerships with Poul Einar Heegaard and Anders Instefjord across multiple publications. No scientific awards are documented in the available records. Similarly, no information regarding research grants or student supervision appears in the provided materials. Villa actively engages with the research community through conference presentations including Forskningsdagene (2013) and NIK conferences, and contributes to public discourse through media appearances in Aftenposten and Inside Telecom. His work operates within NTNU's telecommunications research ecosystem, focusing on practical implementations of network optimization techniques for real-world video delivery systems.

Sverre TveitView profile

Associate Professor

• Educational Assessment
• Grading Policy
• Didactics
• +4 more

Sverre Tveit is an Associate Professor at the University of Agder , affiliated with the Department of Education . His work focuses on educational assessment , grading policies , and didactic reform in Nordic contexts. Researches national testing and exam legitimacy in Norway and Sweden Collaborated on the Nordic Education Model book series Contributed to debates on formal grading resistance and assessment cultures His publications analyze the evolution of educational measurement , pandemic-induced grading paradoxes , and teacher-assigned grades in outcome-based frameworks. Collaborations include scholars like Christian Lundahl, Henning Fjørtoft, and Elisabeth Hovdhaugen. Contact: sverre.tveit@uia.no

Synnøve MagnussenView profile

Researcher

• Oral Squamous Cell Carcinoma
• Plasminogen Activation System
• Tumor Microenvironment
• +4 more

Synnøve Magnussen is affiliated with the Faculty of Health Sciences, focusing on cancer biology and tumor progression. Her research spans oral squamous cell carcinoma, the plasminogen activation system, nephronectin’s role in cancer, and immunogenic cell death mechanisms. Key Research Areas: Cancer biomarkers, tumor microenvironment, metastasis, marine-derived therapeutics. Notable Work: Investigated uPAR/PAI-1 in oral cancer progression; characterized nephronectin’s integrin-binding domains in breast cancer brain metastasis. Publications: Recent studies explore marine mimics for cytotoxicity (2023), tumor immune microenvironment dynamics (2024), and DAMP-inducing compounds (2022). Academic Contributions: Collaborated on validating prognostic markers (2021) and hypoxia-driven vascular permeability (2022).

• Machine Learning
• Health Informatics
• Cancer Research
• +5 more

Jan Franz Nygård is an Associate Professor at the Department of Physics and Technology , UiT The Arctic University of Norway. His work bridges Machine Learning with Health Informatics , focusing on cancer registries, AI for medical diagnostics, and data-driven healthcare solutions. UiT The Arctic University of Norway Department of Physics and Technology His research spans Cancer Research , Artificial Intelligence , and Data Science , with recent studies on synthetic data applications, federated learning, and quantum computing in healthcare. Over 15 recent publications highlight his contributions to breast cancer detection, cervical cancer risk prediction, and software testing for medical systems. Key collaborations include partnerships with the Cancer Registry of Norway , international consortia on federated networks, and interdisciplinary teams in Medical Imaging and Bioinformatics . His work addresses challenges in Secure Health Data Analysis and Population Health Management .

Emmet McCormackView profile

Professor

• Cancer Research
• Leukemia
• Molecular Imaging
• +3 more

Emmet McCormack is a Professor in Pharmaceutics and Pharmaceutical Technology at the Department of Clinical Science, University of Bergen, specializing in translational molecular imaging for cancer therapy development. His work bridges pharmaceutical technology with clinical oncology through advanced preclinical modeling. His educational background includes a Ph.D. in Design, synthesis and in vitro evaluation of novel anti-cancer compounds from Trinity College Dublin (2002). McCormack's research focuses on: Development of preclinical cancer models using bioluminescent imaging Nanoparticle-based drug delivery systems for targeted therapy Combination treatments for acute myeloid leukemia (AML) and solid tumors Pharmaceutical technology applications in oncology Analysis of his 15 most recent publications reveals dominant themes in AML therapeutics, molecular imaging techniques, and nanoparticle drug delivery. Over 60% of his work centers on leukemia models, with significant contributions to pancreatic, ovarian, and breast cancer research through innovative imaging strategies and combination therapies. His research program is supported by major competitive grants: SonoCURE: Sonoporation-Enhanced Therapy for Pancreatic Cancer (FRIPRO, Research Council of Norway) AML-VACCiN: Dendritic-cell vaccine therapy for AML (H2020 program) Personalized AML treatment guided by proteomics (Norwegian Cancer Society) Translational Development of Preclinical Models (Norwegian Cancer Society) ISPIC: Image-Guided Surgery and Immunotherapy (H2020 MSCA-ITN) McCormack leads the Translational Molecular Imaging in Cancer group at Haukeland University Hospital, collaborating with clinical departments to develop image-guided therapeutic approaches for cancer patients.

• Scientific Computing
• Finite Element Methods
• Mixed-Dimensional Coupling
• +4 more

Cécile Daversin-Catty is a Research Scientist at Simula Research Laboratory in the Department of Numerical Analysis and Scientific Computing. Her work bridges computational mathematics and biomedical engineering through advanced finite element methods. Education: PhD in Applied Mathematics (2016, Université de Strasbourg), thesis titled 'Reduced basis method applied to large non-linear multi-physics problems: application to high field magnets design' Her research focuses on scientific computing , finite element methods , and mixed-dimensional coupling , with applications spanning fluid mechanics , cardiac electromechanics , and neurovascular modeling . Recent publications highlight her expertise in computational fluid dynamics for cardiac flow simulations, development of FEniCS-based tools for mixed-domain problems, and modeling of perivascular networks. Key trends in her work include: Development of robust numerical frameworks for multi-physics problems Advancing cardiac electromechanical modeling for heart failure studies Exploring glymphatic system dynamics via mixed-dimensional finite elements Software innovation in computational science tools She collaborates extensively with researchers across computational cardiology and neuroscience, contributing to open-source platforms like FEniCS.

• Computational physiology
• Biophysics
• Scientific computing
• +3 more

Aslak Tveito is a Professor and Simula Fellow at Simula Research Laboratory, working within the Department of Computational Physiology. His research spans computational physiology, biophysics, and scientific computing with a strong focus on cardiac electrophysiology and mathematical modeling. Dr. Tveito's research interests center on computational physiology, particularly in the domain of cardiac electrophysiology. His work integrates mathematical modeling, numerical analysis, and computational techniques to understand cardiac function at multiple scales - from cellular to tissue level. He has made significant contributions to developing computational frameworks for modeling excitable tissues, with particular emphasis on the heart. His research bridges the gap between theoretical mathematics and practical physiological applications, creating models that can predict cardiac behavior under normal and pathological conditions. The publication record reveals a strong trend toward increasingly detailed cellular-level modeling of cardiac electrophysiology. Recent work focuses on nano-scale phenomena, stem cell-derived cardiomyocyte modeling, and the development of efficient computational frameworks that maintain physiological accuracy. His research demonstrates a consistent trajectory from macroscopic cardiac models toward cellular and subcellular resolution, with growing integration of experimental data from microphysiological systems. There's also a clear emphasis on practical applications, particularly in drug testing and arrhythmia mechanisms. Dr. Tveito has established himself as a leading researcher in computational cardiac electrophysiology through his extensive publication record spanning multiple decades. His work has been published in high-impact journals across computational biology, physiology, and applied mathematics. His research program demonstrates strong continuity in mathematical modeling of cardiac systems, with evolving focus toward higher-resolution cellular models and integration with experimental cardiac microphysiological systems. The collaborative nature of his work is evident through numerous co-authorships with both computational scientists and experimental biologists.

Tone TønjumView profile

Professor

• Microbiology
• Molecular Biology
• Infectious Disease Research
• +4 more

Tone Tønjum is a Professor at the Department of Microbiology , University of Oslo. Her research spans Mycobacterium tuberculosis pathogenesis, antimicrobial resistance , and DNA repair mechanisms in bacterial pathogens. Member of Det Norske Videnskaps-Akademi (The Norwegian Academy of Science and Letters) European Academy of Microbiology Key research areas include: proteomics of drug-resistant tuberculosis, drug development for mycobacterial infections, and DNA metabolism in pathogenic bacteria. Collaborations extend to the Center for Healthy Aging (CEHA) , Copenhagen, and the Institute for Molecular Infection Biology (IMIB) , Würzburg. Recent work explores bioisosteric drug modifications to reduce linezolid toxicity, novel antitubercular hybrids (e.g., spirooxindolopyrrolidine-chromanone), and epiphytic marine biomass as antimicrobial resources. Publications highlight interdisciplinary approaches combining organic synthesis, computational modeling, and clinical microbiology. Scientific awards include membership in the Norwegian Academy of Science and Letters and the European Academy of Microbiology. Her affiliations with research groups like Genome Dynamics and SERTA: Healthy Brain Ageing Centre reflect cross-disciplinary interests, including neurodegenerative disease mechanisms. Contact: tone.tonjum@medisin.uio.no , +47 90152936.

Torunn Bjerve EideView profile

Associate Professor

• General Practice
• Primary Healthcare
• Patient Experience
• +4 more

Torunn Bjerve Eide is an Associate Professor at the Department of General Medicine, University of Oslo , with a focus on primary healthcare systems, patient experiences, and antibiotic use in general practice. She contributes to teaching medical students in psychiatry, hypothyroidism, and healthcare priorities. Education : Cand.Med (University of Trondheim, 2000), Social Anthropology (undergraduate, 1991), French intermediate (1992). Positions : General Practitioner at Majorstuhuset Medical Group (since 2013), Norwegian Council Representative in the European General Practice Research Network (EGPRN, since 2019). Her research spans organizational factors in general practice , antibiotic prescribing , person-centered care , and quality improvement , often using cross-sectional and qualitative methods. Recent work addresses antibiotic decisions for sinusitis, pandemic-era practice changes, and international comparisons of care models. Prior roles include membership in the General Practice Committee for Quality and Patient Safety (2010–2018). She leads national responsibilities for the Quality and Costs of Primary Care in Europe (QUALICOPC) study and represents Norway in the multilateral EconGP migration study .