جست‌وجوی استاد و پژوهشگر

• Condensed Matter Physics
• Superconductivity
• Spintronics
• +۲ مورد دیگر

Morten Amundsen is a Postdoctoral Fellow in the Department of Physics at the Norwegian University of Science and Technology (NTNU), actively contributing to cutting-edge research in condensed matter physics. His work bridges theoretical and experimental approaches in superconductivity and spintronics, with affiliations centered at NTNU's physics department where he maintains active research and teaching roles. His research spans: Superconducting hybrid structures and quantum transport phenomena Spin-orbit coupling effects in topological materials Geometric curvature manipulation of magnetic and superconducting states Josephson effect engineering in novel geometries Antiferromagnetic spintronics and altermagnetism Analysis of his 15 most recent publications (2020-2025) reveals a dominant focus on the interplay between superconductivity and magnetism, particularly through spin-orbit coupling mechanisms. Key trends include geometric engineering of quantum states (via curvature and fractal structures), electrical control of superconducting spin valves, and exploration of Rashba altermagnets. His work frequently employs quasiclassical theory and Keldysh formalism to model complex hybrid systems, with strong emphasis on topological aspects and non-equilibrium phenomena. Dr. Amundsen maintains extensive collaborative networks, frequently publishing with NTNU researchers including Jacob Linder, Henning Goa Hugdal, and Sol Hernæs Jacobsen. His active conference participation—such as presentations at the European School on Superconductivity and Magnetism (2024) and New Avenues in Quantum Materials (2024)—demonstrates ongoing engagement with the international research community. While specific grant details aren't provided, his high publication output in premier journals indicates sustained research funding.

• Physics Education
• Active Learning
• Formative Assessment
• +۳ مورد دیگر

Trine Højberg Andersen is an Associate Professor at the Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). Her work focuses on physics education research, particularly in student active learning , formative assessment , and collaborative learning scaffolding within innovative learning environments. She holds the prestigious title of Excellent Teaching Practitioner at NTNU since 2022. Ph.D. in Physics (University of Southern Denmark, 2003) Research spans learning space design , pedagogical technology integration , and student-teacher collaboration Active in international educational conferences (SEFI, EPFL, DUN) Her recent publications analyze: Multi-campus physics course development Scalable active learning frameworks Formative assessment practices Technology-enhanced collaborative learning Student reflection mechanisms Learning space pedagogy Scientific recognition includes: Excellent Teaching Practitioner (2022) Teaching courses: FY6019 - Modern Physics IFYT1002 - Physics

• Computational Modeling
• Molecular Simulations
• Polyelectrolytes
• +۷ مورد دیگر

Pablo Miguel Blanco Andres is a Postdoctoral Fellow at the Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). He is part of the development team for ESPResSo , an open-source molecular dynamics software for coarse-grained systems, and works as a Marie Skłodowska-Curie postdoctoral fellow on the ModEMUS project, modeling nanoparticle transport under ultrasound irradiation through the extracellular matrix. Research Interests: His work focuses on pH-dependent systems, including polyelectrolytes, peptides, and proteins, using computational modeling to study fundamental properties and develop simulation software. Key areas include charge regulation mechanisms, conformational dynamics, and multivalent interactions in biopolymers. Publication Trends: Recent articles highlight advancements in coarse-grained molecular simulations, charge regulation effects in biopolymers, and software development for soft matter systems. Topics span theoretical modeling of polyelectrolyte flexibility, experimental validation of simulation methods, and applications in biomolecular encapsulation. Scientific Awards: Marie Skłodowska-Curie Postdoctoral Fellowship Software Development: Actively contributes to ESPResSo , a versatile tool for simulating soft matter systems, with specific focus on pH-dependent modeling and coarse-grained simulations. Labs & Teams: Collaborates with interdisciplinary teams at NTNU and contributes to international research projects involving computational biophysics and soft matter physics.

• DNA Condensation
• Polyelectrolyte-Nanoparticle Interactions
• Macromolecular Crowding
• +۳ مورد دیگر

Rita de Sousa Dias is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU), where she has been faculty since 2012. Her research focuses on the physical chemistry of biomacromolecules, particularly DNA condensation and interactions with various agents. Dr. Dias received her academic training in Portugal: B.Sc. in Chemistry from the Faculty of Science and Technology of the University of Coimbra (1999) Ph.D. in Macromolecular Chemistry from the University of Coimbra (2004), with thesis on "DNA-Surfactant Interactions" Her research interests center on the control of DNA condensation using cationic surfactants and polyelectrolytes , adsorption and compaction of macromolecules onto model lipid membranes , and nanoparticle-poly-acid interactions . She extensively employs Monte Carlo simulations to study these phenomena at the molecular level. Her work bridges experimental and computational approaches to understand complex biomolecular systems. An analysis of her recent publications reveals a consistent focus on DNA condensation mechanisms, particularly how various agents (surfactants, polyelectrolytes, proteins) influence this process. Her research increasingly incorporates the effects of macromolecular crowding to better mimic cellular environments. She also investigates polyelectrolyte-nanoparticle interactions, with applications in drug delivery and nanomaterials science. Dr. Dias has received research funding through prestigious programs including a Marie Curie Fellowship. At NTNU, she teaches courses in bionanoscience, physics, and polymers, contributing to both undergraduate and graduate education in the physical sciences.

• Physics Education
• Student-Centered Learning
• Formative Assessment
• +۵ مورد دیگر

Dr. Guri Sivertsen Korpås is an Assistant Professor and Excellent Teacher Practitioner at the Department of Physics, Norwegian University of Science and Technology (NTNU), Faculty of Natural Sciences. She specializes in science education research with focus on student-active learning methodologies. Key affiliations: SEED (Science and Engineering Education Development) center Project participation: TettPÅ Her research interests include: Student-active learning implementation Formative assessment through dialogue and reflection Innovative learning spaces design Student response technology integration Recent publication trends indicate focus on: Collaborative learning frameworks Mastery learning models in programming education Multi-campus course design Technology-enhanced physics pedagogy Scientific recognition: Awarded 'Excellent Teacher Practitioner' in 2022 Teaching responsibilities: FY6017 - Elektromagnetisme HBIOT1013 - Kjemisk og instrumentell analyse FY6013 - Mekanikk

• Educational Technology
• Science Education
• Physics Education
• +۵ مورد دیگر

Trond Morten Thorseth is an Associate Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU), Faculty of Natural Sciences. His research focuses on educational technology, science education, and innovative teaching methodologies. Thorseth's work explores the integration of student response systems, peer learning assessment tools, and mobile technologies into educational environments. He has published extensively on topics like classroom interaction, self-regulated learning, and interdisciplinary teaching approaches, with a particular emphasis on engineering and physics education. His recent publications (2022-2024) highlight strategies for enhancing student engagement through STS (Science, Technology, and Society) integration, analyzing feedback mechanisms in mathematics education, and bridging conceptual understanding gaps in physics and engineering classrooms. Earlier articles (2012-2017) focus on mobile learning, text-based response systems, and playful learning methodologies. Thorseth's research spans educational technology design, peer assessment frameworks, and pedagogical innovations. While no scientific awards are explicitly mentioned in the provided data, his work has been disseminated through academic conferences and journals like SEFI, IATED, and EDULEARN Proceedings.

• Magnetic Resonance Imaging (MRI)
• Ultra-High Field MRI
• Spinal Cord Imaging
• +۵ مورد دیگر

Signe Johanna Vannesjö is an Associate Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU) Faculty of Natural Sciences. Her work focuses on advancing Magnetic Resonance Imaging (MRI) techniques, particularly for ultra-high field (7 Tesla) spinal cord imaging. Academic Rank: Associate Professor Institution: Norwegian University of Science and Technology (NTNU) College: Faculty of Natural Sciences Department: Department of Physics Email: johanna.vannesjo@ntnu.no Her research addresses challenges in spinal cord MRI caused by physiological magnetic field perturbations from breathing and static susceptibility effects. Key contributions include: Gradient system characterization Dynamic shimming methodologies Prospective/retrospective B0 fluctuation correction Development of high-resolution imaging protocols Optimization of functional MRI sensitivity Recent publications demonstrate expertise in: Spiral imaging reconstruction algorithms HiHi fMRI techniques Spinal cord functional connectivity reliability Signal-to-noise ratio optimization Automated z-shimming implementations Multicenter protocol comparisons Teaching responsibilities include advanced MRI courses and core physics subjects: FY8408 - MR Imaging MEDT8011 - Introduction to MR Imaging TFY4163 - Wave Physics and Fluid Mechanics FY6023 - Nuclear and Radiation Physics

• Medical Imaging
• Radiation Oncology
• Cancer Research
• +۷ مورد دیگر

Rene Mario Winter is an Assistant Professor and Researcher at the Norwegian University of Science and Technology (NTNU) , Department of Physics, Faculty of Natural Sciences, and coordinator at the Norwegian 7T MR Center . His work bridges Medical Imaging , Radiation Oncology , and Machine Learning to advance cancer treatment. Winter's research focuses on imaging-guided radiotherapy for cancer, particularly using PET and MRI to improve tumor delineation, predict radiation resistance, and optimize dose planning. His projects integrate radiomics , machine learning , and synthetic CT generation for personalized radiotherapy. His 2025–2022 publications analyze multi-parametric PET/MR imaging for tumor resistance prediction, image quality assessment in multicenter trials, and automated segmentation using deep learning. Key themes include proton therapy , head and neck cancer , and radiation dose painting . Scientific Awards include the ESTRO Jack Fowler Award (2020) ESTRO Poster Award (2015) Norwegian Nuclear Medicine Consortium Grants (2021–2022) Winter co-supervises PhD and MSc theses and contributes to radiotherapy protocol development . He is a member of ESTRO and EANM , and reviews for journals like Radiotherapy and Oncology and EJNMMI .

• Biomedical Engineering
• Ultrasound Therapy
• Drug Delivery
• +۳ مورد دیگر

Petros Tesfamichael Yemane serves as a Postdoctoral Fellow (Research Fellow) in the Department of Physics at the Norwegian University of Science and Technology (NTNU), where he conducts cutting-edge research at the intersection of medical physics and biomedical engineering. His work focuses on leveraging ultrasound technology to enhance targeted drug delivery systems for cancer treatment. His research expertise spans: Biomedical Engineering Ultrasound Therapy Drug Delivery Mechanisms Nanomedicine Applications Cancer Treatment Optimization Medical Physics Instrumentation Analysis of Dr. Yemane's publication record reveals a consistent trajectory in ultrasound-mediated drug delivery research, with emphasis on real-time visualization of nanoparticle behavior in tumor environments. His work demonstrates how acoustic radiation force and sonication techniques can manipulate nanoparticle distribution in collagen matrices and solid tumors, directly addressing challenges in tumor penetration and drug bioavailability. Key methodologies include multiphoton microscopy for live imaging and computational modeling of radiation force effects, contributing significantly to the development of microbubble-enhanced delivery platforms. He actively disseminates findings through international conferences including the European Symposium on Ultrasound Contrast Imaging and the Oncological Drug Delivery Conference, collaborating with institutions across Europe to advance nanomedicine applications in oncology.

• Chemical Engineering
• Fluid Dynamics
• Heat Transfer
• +۳ مورد دیگر

Sanjid Chiramel Sulaiman is a Research Fellow in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). His work focuses on fluid dynamics, heat transfer, and computational modeling of multiphase systems. Research Areas: Fluid Dynamics, Heat Transfer, Computational Fluid Dynamics, Multiphase Flow, Numerical Methods Email: sanjid.c.s@ntnu.no Recent publications include studies on bubble coalescence regimes during nucleate boiling and CO₂ dissolution in water using advanced level-set techniques. These works highlight his expertise in simulating complex interfacial dynamics and environmental fluid mechanics applications.

• Chemical Engineering
• Thermodynamics
• Process Simulation
• +۳ مورد دیگر

Tore Haug-Warberg is an Associate Professor in Thermodynamics at the Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU). His career spans academic research, industrial collaboration, and educational outreach. He has contributed extensively to thermodynamic modeling, chemical process simulation, and CO 2 capture technologies. His research focuses on generalized equilibrium calculations , object-oriented programming (e.g., Ruby/Julia) for thermodynamic models, and CO 2 -amine interactions . Recent work extends to geothermal scaling and non-ideal gas systems in reactor design. Key trends in his publications include integrating thermodynamic theory with computational methods, optimizing chemical reaction equilibrium in industrial processes, and advancing equation-of-state models (e.g., SPUNG EoS) for environmental applications. Scientific awards: No specific honors mentioned in the provided text. Advising and grants: No direct information about students or research grants is provided. His industrial experience includes roles at Institute of Energy Technology, Norwegian Defence Office, Norsk Hydro, and Yara International.

• Membrane Technology
• Gas Separation
• Carbon Capture
• +۴ مورد دیگر

Arne Lindbråthen is a Researcher in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), Faculty of Natural Sciences. His work centers on membrane technology development for gas separation applications, with focus on CO 2 removal from flue gas, biogas, and natural gas streams, as well as natural gas dehydration and hydrogen purification. His research interests span membrane technology development, carbon capture, and gas separation processes. Lindbråthen specializes in manufacturing carbon molecular sieve membranes, from polymer solution optimization to pilot-scale testing. His work integrates materials science with process engineering for applications in carbon capture, biogas upgrading, and hydrogen purification. Key focus areas include membrane stability under harsh conditions (H 2 S, moisture), techno-economic assessments, and scaling lab innovations to industrial pilots. Lindbråthen's publication record shows strong collaboration with the MEMFO research group, particularly with Liyuan Deng, Linfeng Lei, and May-Britt Hagg. His work demonstrates consistent contributions to CO 2 separation membrane development since the early 2000s, with recent emphasis on moisture-swing adsorption, mixed matrix membranes, and field trials in industrial settings like cement plants. His research bridges fundamental membrane science with practical engineering solutions for decarbonization. His laboratory work includes pilot-scale production of carbon hollow fiber membranes and testing under high-pressure, high-temperature conditions. The MEMFO group, where he is active, maintains long-term focus on reducing carbon emissions through membrane-based separation technologies, with documented field trials in demanding industrial environments.

• Computer Science
• Cultural Heritage
• Materials Science
• +۵ مورد دیگر

Evdokia Saiti is a Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Chemical Engineering. Her research spans interdisciplinary topics in 3D registration, multimodal data analysis, and microfluidic methods. Research Interests: Evdokia focuses on developing automated frameworks for 3D registration of multimodal and differential data, with applications in cultural heritage preservation and material science. Her work also investigates particle dynamics in porous media using microfluidic techniques. Recent Publications (2020–2025): Her articles highlight advancements in 3D point cloud registration, cross-modal alignment of CT volumes, and microfluidic analysis of silica particles. These contributions integrate computer science with cultural heritage monitoring and chemical engineering. Education: She earned a PhD in 2023 from NTNU, focusing on deep learning frameworks for 3D registration.

• Musculoskeletal Disorders
• Neck and Back Pain
• Clinical Decision Support Systems
• +۶ مورد دیگر

Ingebrigt Meisingset is a senior researcher at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Public Health and Nursing under the Faculty of Medicine and Health Sciences. His work centers on musculoskeletal disorders in primary care, including neck, shoulder, and lower back pain, with a focus on prognostic factors, patient subgroups, and digital clinical decision support systems powered by artificial intelligence. Additional research areas include clinical effectiveness studies and interventions for insomnia in primary care settings. Education: 2008-2010: MSc in Exercise Physiology and Sport Science, NTNU 2004-2007: BSc in Physiotherapy, HIST Current Positions: Researcher, NTNU (2020-) Postdoctoral Researcher, NTNU (2016-2020) His recent projects include: SUPPORTPRIM: Developing AI-driven clinical decision support systems for physiotherapists and general practitioners. DigiSøvn: Evaluating digital sleep apps for musculoskeletal pain patients. Non-pharmacological Sleep Interventions: Testing the "Sov godt" course for insomnia in primary care. His publications highlight trends in clinical decision support systems, musculoskeletal pain stratification, and the intersection of sleep disorders and chronic pain. Articles often employ case-based reasoning, randomized trials, and longitudinal studies to improve treatment personalization and effectiveness in primary care.

Brooke N. Wolfordمشاهده پروفایل

پژوهشگر ارشد

• Statistical Genetics
• Precision Public Health
• Cardiovascular Disease Epidemiology
• +۵ مورد دیگر

Brooke N. Wolford is a Marie Skłodowska-Curie Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Public Health and Nursing within the Faculty of Medicine and Health Sciences. She leads the ProtectHearts and HUNT AI for Heart Health projects at the HUNT Center for Molecular and Clinical Epidemiology, while also contributing to the EU-funded INTERVENE project through the Finnish Institute for Molecular Medicine. Her work bridges statistical genetics, computational biology, and clinical applications to advance precision public health initiatives. Dr. Wolford earned her PhD in Bioinformatics and Master's in Statistics from the University of Michigan, where she completed her dissertation on 'Genetic Discovery and Precision Medicine in Cardiovascular Diseases Using Electronic Health Record-linked Biobanks' under Dr. Cristen Willer and Dr. Michael Boehnke. Her undergraduate training includes a Bachelor of Science in Quantitative Biology with highest honors from the University of North Carolina at Chapel Hill, where she was a Phi Beta Kappa honors graduate. Her research program focuses on artificial intelligence-driven precision public health, particularly in cardiovascular disease prediction and prevention. By integrating genomics, proteomics, and clinical data from large biobanks like HUNT, UK Biobank, and FinnGen, she develops novel risk prediction models that address critical gaps in women's heart health and young adult disease prevention. Her work on polygenic risk scores and proteomic biomarkers aims to transform population-scale screening programs through explainable AI methodologies. Dr. Wolford's recent publications demonstrate significant contributions to genetic epidemiology, with high-impact work in Nature Genetics, Nature Communications, and Circulation: Genomic and Precision Medicine. Her research outputs reveal consistent themes in cross-population polygenic score development, sex-specific disease mechanisms, and innovative biobank data integration approaches that enhance cardiovascular risk prediction across diverse populations. 2022/2023 Best Dissemination Award (K.G. Jebsen Centers) 2022 ASHG Trainee Research Excellence Award Finalist 2021 ASHG Trainee Research Excellence Award Semi-Finalist National Science Foundation Graduate Research Fellowship Genome Sciences Predoctoral Traineeship University of Michigan Program in Biomedical Sciences 20th Anniversary Award As a dedicated mentor, Dr. Wolford supervises multiple graduate students across Master's and PhD programs at NTNU, focusing on proteomic risk prediction for diabetes, cardiovascular-Alzheimer's disease connections, and polygenic scoring for women's heart health. She actively promotes open science through R-ladies Trondheim leadership and develops educational resources like the Health AI in R workshop. Her ongoing projects with INTERVENE and ProtectHearts secure substantial European research funding for translational genomics initiatives. Dr. Wolford co-leads the HUNT AI for Heart Health initiative and ProtectHearts project within the HUNT Center for Molecular and Clinical Epidemiology. These teams integrate computational biologists, clinicians, and epidemiologists to develop explainable AI models that translate genomic discoveries into clinical prevention strategies, with particular emphasis on addressing health disparities in cardiovascular outcomes for women and younger populations.