جست‌وجوی استاد و پژوهشگر

• Medical Physics
• Radiation Oncology
• Proton Therapy
• +۳ مورد دیگر

Sara Margareta Cecilia Pilskog serves as an Associate Professor in the Department of Physics and Technology at the University of Bergen, Norway, with dual affiliation at Haukeland University Hospital's Department of Cancer Treatment and Medical Physics. Her research bridges theoretical medical physics and clinical oncology applications, focusing on precision radiotherapy techniques and biological optimization. Her primary research interests center on proton therapy innovation, where she investigates biological optimization strategies using linear energy transfer (LET) and relative biological effectiveness (RBE) modeling. She develops adaptive radiotherapy frameworks to address inter-fractional motion in pelvic cancers, particularly prostate and rectal malignancies. Her work also pioneers neutron-based in-vivo range verification systems and statistical deformation models for dose accumulation. Current projects emphasize reducing treatment margins through anatomical robustness and optimizing biological dose distributions for organ sparing. Analysis of her 15 most recent publications reveals a dominant focus on improving proton therapy precision for pelvic cancers through biological modeling and motion management. Approximately 70% of her work addresses prostate cancer applications, with significant contributions to adaptive strategies for inter-fractional changes and biological optimization techniques. Her research consistently employs Monte Carlo simulations (particularly FLUKA) and clinical data analysis to translate theoretical models into clinically viable solutions. No scientific awards were documented in the provided materials. While specific advising details remain unreported, her collaborative patterns indicate active mentorship within the University of Bergen's medical physics research ecosystem. Her publications consistently involve junior co-authors from clinical physics teams at Haukeland University Hospital, suggesting hands-on supervision of technical staff and research fellows in radiotherapy innovation projects. Grant funding appears primarily channeled through institutional hospital-university partnerships focused on clinical translation of advanced radiotherapy techniques. Dr. Pilskog operates within the University of Bergen's medical physics research cluster that maintains close operational ties to Haukeland University Hospital's radiotherapy department. This integrated academic-clinical environment enables direct implementation of her research on adaptive proton therapy and biological optimization into clinical workflows, with particular emphasis on pelvic cancer treatment protocols. The team utilizes advanced Monte Carlo simulation platforms and clinical treatment planning systems to develop and validate next-generation radiotherapy approaches.

• Process Control
• Advanced Process Control
• Control Structure Design
• +۶ مورد دیگر

Sigurd Skogestad is a Professor of Chemical Engineering at NTNU in Trondheim, specializing in process control. He has held this position since 1987, following his PhD from the California Institute of Technology (Caltech) in 1987. From 1999 to 2009, he served as Head of the Department of Chemical Engineering. Since 2015, he has directed the SUBPRO center for research-based innovation, focusing on subsea production and processing. Education: PhD in Chemical Engineering, California Institute of Technology (Caltech), 1987 Research Interests: His work emphasizes advanced control strategies, including control structure design, plantwide control systems, and optimal operation of process systems. He explores robust control methodologies, PID control applications, and distillation column dynamics. Modeling for control and subsea production systems are central to his current research through the SUBPRO initiative. Leadership & Roles: Director of SUBPRO Center (since 2015) Past Head of Department of Chemical Engineering (1999–2009) Labs/Teams: Leads the SUBPRO center, a collaborative research effort advancing subsea production technologies.

• Patient Safety Culture
• Healthcare Teamwork
• Medication Management
• +۳ مورد دیگر

Anne Vifladt is an Associate Professor at the Department of Health Sciences, NTNU in Gjøvik. She holds a master's degree in health informatics and a doctorate in patient safety culture. Her research focuses on patient safety, work environment, teamwork, and medication management. She leads the Ph.D. project 'Team-training to support medication administration in prehospital care' and supervises doctoral and master's students. Vifladt's work emphasizes interprofessional collaboration in healthcare settings, particularly in surgical wards and ambulance services. Her research interests span patient safety culture, medication administration processes, and the impact of team training on healthcare outcomes. Recent studies include qualitative analyses of ambulance professionals' teamwork and middle managers' perspectives on nursing competence in primary care. Vifladt has presented her findings at conferences such as the Nordic Conference on Research in Patient Safety and Quality in Healthcare (2024) and frequently collaborates with institutions like Akershus University Hospital and Sykehuset Innlandet HF. Her publications reflect a focus on longitudinal team training programs, structural changes in healthcare units, and the interplay between patient safety practices and professional well-being. Vifladt is part of the Patient Safety Research Group and contributes to courses like PAG2900 - Bacheloroppgave i paramedisin at NTNU.

• Lithium-ion Battery Technologies
• Redox Flow Batteries
• Bioenergy
• +۵ مورد دیگر

Dr. Jacob Joseph Lamb is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering within the Faculty of Engineering. He serves as the Study Program Manager for the Bachelor of Engineering in Renewable Energy (BIFOREN) and leads the Digital Energy Systems laboratory group. His roles include WP8 leadership in the FME Battery initiative and Theme Leader for Efficient Energy Use at ENERSENSE. Education: PhD in Energy and Process Engineering, NTNU (2013–2016) MSc in Chemical Engineering, University of Otago, New Zealand (2011–2012) BSc in Chemical Engineering, University of Otago, New Zealand (2008–2010) Research Interests: Dr. Lamb focuses on sustainable energy systems, particularly lithium-ion battery technologies , redox flow batteries , bioenergy , and digitization of energy systems . He explores sensor technologies for real-time monitoring and optimization of energy storage devices. His work integrates machine learning with physics-based models to enhance battery performance and reliability. Key Projects: FME Battery: Norwegian research initiative for advanced battery technologies ReZinc: Zinc-air flow battery development for stationary storage HeaLiSelf: Self-healing lithium-ion batteries using optical sensing and data analytics Computational studies on pre-lithiation processes and cold-climate battery performance Publications: His recent work emphasizes lithium-ion battery digitalization , SoC estimation , and electrode structuring . He bridges experimental and computational methods to address challenges in energy storage scalability and safety. Affiliations: ENERSENSE (Efficient Energy Use Theme) NTNU Thermal Engineering Laboratories

Juergen Pfingstnerمشاهده پروفایل

پژوهشگر

• Particle Accelerator Technology
• Free Electron Lasers
• CLIC (Compact Linear Collider)
• +۵ مورد دیگر

Juergen Pfingstner is a Post-doctoral Fellow at the University of Oslo (since 2015) within the Department of Physics. His research focuses on advanced accelerator technologies, particularly at CERN's CLIC Test Facility (ATF2). Key areas include emittance preservation, ground motion mitigation, and free-electron laser (FEL) design. He holds a PhD from the Vienna University of Technology (2013) and a Master's in Electrical Engineering from Graz University of Technology (2008), specializing in control engineering and electromagnetic field computation. His academic journey includes a postdoctoral stint at CERN (2012–2014), where he investigated ground motion effects on CLIC performance. Collaborations span institutions like KEK (ATF2 facility) and the X-band FEL collaboration. Research interests bridge particle accelerator physics, control systems, and high-frequency radiation technologies. Publications emphasize CLIC final focus systems, wakefield suppression, and plasma wakefield acceleration. His work addresses both theoretical and experimental challenges in next-generation collider design, including THz radiation facilities and feedback control methodologies.

• Structural Dynamics
• Bridge Engineering
• Wind Engineering
• +۶ مورد دیگر

Ole Andre Øiseth is a Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU), specializing in structural dynamics with focus on bridges and marine structures. He leads the structural mechanics research group. Research Interests: Wind Engineering Bridge Aerodynamics Structural Health Monitoring Operational Modal Analysis Fluid-Structure Interaction Extreme Load Analysis Key Contributions: Developed nonlinear force models for bridge aerodynamics Advanced Kalman filter techniques for wind load identification Environmental contour methods for bridge design Automated monitoring systems for long-span bridges

Pinar Heggernesمشاهده پروفایل

استاد

• Algorithms
• Graph Theory
• Combinatorics
• +۳ مورد دیگر

Pinar Heggernes is a Professor at the Department of Informatics at the University of Bergen , specializing in algorithms and graph theory . Her research focuses on solving NP-hard graph problems through polynomial-time and fixed parameter tractable algorithms , particularly on chordal , split , and outerplanar graphs . She served as the elected deputy rector of the University of Bergen (2021–2025) with responsibility for education and digital knowledge, and previously as head of the Department of Informatics until 2021. Her career spans leadership in externally funded projects, editorial roles in international journals, and active participation in national research policy, including co-founding the Norwegian Artificial Intelligence Research Consortium (NORA). Education: PhD in Informatics from the University of Bergen. Research Interests: Algorithms for graph classes, computational complexity, parameterized algorithms, and combinatorial optimization. Collaborations: Extensive partnerships with academia, businesses, and public administration, including advisory roles in the Bergen Chamber of Commerce and the Norwegian Cognitive Center . Grants: Project leader for four Research Council of Norway FRIPRO grants (CLASSIS, SCOPE, MIST, and earlier projects) and participant in EU, Trond Mohn Foundation, and National Security Authority grants. Students: Supervised Paloma T. Lima (PhD, 2019) and co-supervised numerous advisees through collaborative projects. Labs/Teams: Coordinated interdisciplinary ICT research and education initiatives at UiB, with international collaborations in the USA, France, and Turkey.

• Computational Physics
• Density Functional Theory (DFT)
• Atomistic Simulations
• +۹ مورد دیگر

Jaakko Akola is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational materials science, particularly density functional theory (DFT) and atomistic simulations of materials, nanoparticles, molecules, and interfaces. He leads significant projects such as "SIDI" (inoculation in cast iron), "Infinity-RETIS" (chemical rare events), and "AllDesign" (rational alloy design), alongside coordinating EU-funded initiatives like "CritCat" for catalyst development. The Materials Theory group under Akola employs DFT, molecular mechanics, and Monte Carlo methods to explore atomic-scale structures and functions in technological applications. Key research areas include platinum-free catalysts for hydrogen energy, amorphous semiconductors for memory devices, noble metal nanoparticles in biological environments, and alloy design for cast iron and aluminum. Recent work integrates machine learning to advance theory-driven material design, reducing reliance on experimental trial-and-error. Akola's publications highlight advancements in hydrogen evolution catalysis, phase-change memory materials, and alloy precipitation. His projects often involve interdisciplinary collaborations with experimental teams. He teaches Quantum Physics 1 (FY2045) and Computational Physics (TFY4235) at NTNU, reflecting his commitment to education alongside research.

• Economic Theory
• Behavioral Economics
• Mechanism Design
• +۷ مورد دیگر

Shengwu Li is a Professor of Economics at Harvard University, specializing in economic theory and behavioral economics. His research focuses on designing simple and transparent economic systems, particularly addressing computational complexity challenges. He has contributed to mechanism design, auctions, and market design, emphasizing cognitive simplicity and bounded rationality. Key research interests include obviously strategy-proof mechanisms, cursed equilibrium extensions, and the effects of salary benchmarking. His work spans dynamic matching markets, fairness in bargaining, and the ethical dimensions of market design. Awards: Aliprantis Prize (2017), Exeter Prize (2018), EC'18 SIGecom Best Paper Award Notable Projects: Salary benchmarking studies, cursed equilibrium dynamics, and fair bargaining norms Literature Contributions: Maintains a curated page on obviously strategy-proof mechanisms and related literature His research integrates theoretical insights with empirical data, addressing real-world applications in labor markets, auctions, and negotiation systems.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Sigurd Skogestadمشاهده پروفایل

استاد

• Process Control
• Systems Engineering
• Optimization
• +۲ مورد دیگر

Sigurd Skogestad is Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). He serves as Program Leader for the 5-year Master program in Chemical and Biochemical Engineering. His research develops simple yet rigorous methods to solve engineering problems, focusing on self-optimizing control structures that enable near-optimal operation under varying conditions. His approach moves economic optimization from slow real-time optimization to faster control layers. Key research areas: Self-optimizing control structures Process systems engineering Multivariable feedback control Plantwide process control Distillation modeling and control He has received significant recognition including the AIChE Computing in Chemical Engineering Award and IFAC Fellow status. He leads research groups in Process Control and contributes to the SUBPRO center on subsea production.

• Hydrodynamics
• Flow and Sediment Interaction
• Geomorphological Processes
• +۷ مورد دیگر

Elena Marianne Pummer is a Professor in the Department of Civil and Environmental Engineering at NTNU. She specializes in hydraulic engineering, with a focus on hydrodynamics, sediment transport, and glacial lake outburst floods (GLOFs). Her research integrates experimental modeling, CFD simulations, and field studies to address challenges in hydropower, flood mitigation, and infrastructure design. Education: Dr.-Ing., RWTH Aachen University, Germany (2016) Dipl.-Wirtsch.-Ing., TU Darmstadt, Germany (2011) Research Interests: Her work spans hydraulic structures, ethohydraulics, and the dynamics of high-speed flows. She leads projects on GLOF hydraulics, underground pumped storage plants, and culvert blockage analysis. Key areas include sediment transport modeling, experimental validation of CFD frameworks, and sustainable hydropower solutions for climate resilience. Publications: Recent work addresses GLOF mechanisms in Peru, spillway capacity optimization, and CFD studies of supercritical flows. Her publications emphasize practical applications in infrastructure design and environmental risk management. Awards: 2019: DTK & WasserWirtschaft Studienpreis (3rd place) 2018: Young European Talent Award 2017: Friedrich-Wilhelm and ICOLD Young Engineers Awards Leadership & Projects: She chairs committees including IAHR's Hydraulic Structures and EERA's Hydropower SP2. Current projects include RenewHydro (sediment management), HydroCen (hydraulic structures), and Energydam (non-powered dam retrofitting). Advising: Supervises PhD students in GLOF hydraulics (Jan Hrebrina) and InSpillyFish (Nils Solheim). Past advisees include Subhojit Kadia (supercritical flows) and Joakim Sellevold (culvert hydraulics). Labs/Teams: Leads experimental hydraulics research at NTNU, collaborating with global institutions on projects like Pen@Hydropower (hydropower potential analysis) and Kajak Waves (nature-based infrastructure solutions).

Morten Brunمشاهده پروفایل

دانشیار

• Topological Data Analysis
• Computational Topology
• Persistent Homology
• +۳ مورد دیگر

Morten Brun is an Associate Professor at the Department of Mathematics, University of Bergen. His research spans computational topology, persistent homology, and applications in biology and data science. Email: morten.brun@uib.no Research Interests: He specializes in topological data analysis, focusing on sparse nerves, relative persistent homology, and computational geometry. His work applies topological methods to biological problems, including drug resistance modeling in tuberculosis and immune profiling in multiple sclerosis. Recent Publications: His 2025 work includes hypercubic modeling of tuberculosis drug resistance and high-dimensional immune profiling post-stem cell transplantation. Earlier articles explore computational topology techniques (2017-2024) and interdisciplinary applications in toxicology and systems biology.

Gunnar Colbjørnsen Aakvaagمشاهده پروفایل

استاد

• Sociological Theory
• Freedom and Individuality
• Norwegian Society
• +۶ مورد دیگر

Gunnar Colbjørnsen Aakvaag is a Professor of Sociology at the UiT The Arctic University of Norway , affiliated with the Department of Social Sciences under the Faculty of Humanities, Social Sciences and Teacher Education. His work focuses on freedom , the Norwegian model , and the naturalistic turn in sociology. Academic Rank: Professor Location: Tromsø, Norway Research Interests include classical and modern sociological theory, contemporary diagnoses of society, institutional analysis, and the integration of biological perspectives into social theory. He advocates for positive sociology as a framework for envisioning future social progress. Recent Publications explore themes like robust communities, institutional compatibility, and the democratization of freedom. His work bridges democratic theory , critical sociology , and interdisciplinary approaches to social resilience . Teaching involves courses such as SOS1001-Individ og samfunn, SOS1002-Sosiologiens klassikere, and SOS3000/3015-Sosiologisk teori. He is a member of the Robuste fellesskap research group.

Øyvind Fiksenمشاهده پروفایل

استاد

• Biological oceanography
• Marine ecology
• Marine ecosystems
• +۷ مورد دیگر

Øyvind Fiksen is a Professor in the Department of Biological Sciences at the University of Bergen, specializing in biological oceanography and marine ecosystem dynamics. His work focuses on how individuals drive population and community dynamics in marine environments through mechanistic models, state-variable optimality theory, and trait-based ecosystem modeling. Professor Fiksen's research spans behavioral ecology, predator-prey interactions in fish, zooplankton, and microbes, investigating how these interactions structure marine ecosystems. His teaching portfolio includes Marine Ecology courses, and he has been instrumental in developing the Centre of Excellence in Biology Education (bioCEED) at the University of Bergen. During 2012-2015, he served as Head of Education and Deputy Head of Department at BIO, contributing to Bergen's recognition as a Centre of Excellence in Education. Analysis of his recent publications (2020-2024) reveals a strong emphasis on climate change impacts on marine systems, particularly how environmental changes affect fish phenology, distribution patterns, and ecosystem dynamics. His work integrates theoretical modeling with empirical data across multiple spatial and temporal scales, with notable contributions to understanding mesopelagic zone dynamics, tuna reproductive strategies, and cod-capelin interactions. A consistent theme throughout his research is the application of mechanistic models to predict ecosystem responses to environmental change. Excellent Teaching Practitioner from UiB Professor Fiksen has supervised numerous doctoral students including Johanna Myrseth Aarflot, Johanna Jennifer Elisabeth Fall, Tom Langbehn, Agurtzane Urtizbera Ijurko, Øystein Varpe, and Christian Jørgensen. His research has been supported by significant funding from EU, NFR (Norwegian Research Council), and NOKUT, including projects such as ETHOFISH, ADAPT, ECOBE, CLIMAR, TBECO, EGGVALUE, bioCEED, MARmaED, FILAMO, and PANDORA. As part of bioCEED, he has delivered over 40 invited talks on educational activities at local and national forums, demonstrating his commitment to both research and teaching excellence. His laboratory work focuses on theoretical ecology approaches to marine ecosystem modeling, with particular expertise in individual-based models that connect physiological processes to population dynamics. Current research directions include investigating how coastal water darkening affects marine phenology, optimizing tuna spawning strategies, and understanding the three-dimensional spatial dynamics of predator-prey interactions in marine environments.