جستجوی استاد راهنمای دانشگاهی

Mahdi Kioumarsiمشاهده پروفایل

دانشیار

• Concrete Technology
• Structural Engineering
• Corrosion Engineering
• +۶ مورد دیگر

Mahdi Kioumarsi is an Associate Professor at Oslo Metropolitan University (OsloMet) and Østfold University College, specializing in structural engineering with a focus on advanced concrete technology and deteriorated concrete structures. He holds a Ph.D. from NTNU (2015) and an M.Sc. from Amirkabir University of Technology (2009). His research integrates experimental work with finite element modeling, addressing corrosion effects, structural performance, and sustainable construction materials. Education: Ph.D. in Structural Engineering, NTNU (2015) M.Sc. in Structural and Earthquake Engineering, Amirkabir University (2009) Research Interests: His work spans from material-level studies to full-scale structural analysis, emphasizing corrosion mitigation, nonlinear behavior, and sustainable materials. Key focus areas include: Corrosion-resistant concrete formulations Seismic behavior of historical structures Lifecycle assessment of construction materials Machine learning applications in structural analysis Recent Research Trends: Most recent publications emphasize sustainable materials innovation (e.g., ultra-high performance concrete with waste additives), corrosion impact analysis, and AI-driven predictive models for material properties. He co-edited the 2025 conference proceedings on net-zero built environments. Labs/Teams: Active in research groups like the Building and Environment Research Group and Structural Engineering Research Group (SERG). Collaborates internationally on projects like HYPERION (resilience of historic areas).

Kjell Gunnar Robbersmyrمشاهده پروفایل

استاد

• Mechatronics
• Machine Design
• Condition Monitoring
• +۵ مورد دیگر

Kjell Gunnar Robbersmyr is a Professor at the University of Agder's Department of Engineering Sciences and director of the Top Research Center in Mechatronics. With a Ph.D. in mechanical engineering from NTNU (1992), his career spans academic leadership, research management at Agder Research, and active contributions to IEEE. His work focuses on mechatronics, machine design, and condition monitoring, with special emphasis on fault diagnosis in electric motors and vehicle crash modeling. Senior Member of IEEE Member of Norwegian Academy of Technical Sciences Member of Agder Academy of Sciences Research interests include: Advanced fault diagnosis in electric drives using AI and signal processing Vehicle crashworthiness modeling with lumped parameter and finite element methods Optical measurement technology for machine monitoring Digital twin applications for infrastructure and wind energy systems Condition monitoring of low-speed bearings and rotating machinery Recent publications demonstrate expertise in: Deep learning for imbalanced motor fault datasets Transformer networks in power electronics diagnostics 3D reconstruction techniques for mechanical systems Multi-classifier decision fusion in power systems Dynamic operations modeling for electric vehicles Scientific contributions include: Over 50 peer-reviewed articles Leadership in the Intelligent Monitoring research group Development of novel inverter topologies Innovations in wind turbine condition monitoring Advancements in laser-based mechanical diagnostics

• Structural Engineering
• Materials Science
• Ballistics
• +۵ مورد دیگر

Tore Børvik is a Professor at the Department of Structural Engineering , Faculty of Engineering , Norwegian University of Science and Technology (NTNU) . His research focuses on structural materials subjected to extreme loads, including ballistic impacts, blast loading, and ductile fracture mechanics. Current affiliations: SIMLab (Centre for Structural Impact Research), SFI CASA (Norwegian Centre for Advanced Structural Analysis) Research themes: Failure mechanisms in metals/concrete, computational modeling of fracture, sustainable shielding materials Publications highlight experimental and numerical studies on concrete, aluminum alloys, and steel plates under high-velocity impacts and dynamic loads. His work often involves collaborations with researchers like Odd Sture Hopperstad, Martin Kristoffersen, and Sumita Dey.

Karina Bakkeløkken Hjelmervikمشاهده پروفایل

استاد

• Fluid mechanics
• Physical oceanography
• Numerical modelling of water currents and waves
• +۵ مورد دیگر

Professor Karina Bakkeløkken Hjelmervik is a Professor in the Department of Maritime Operations , Faculty of Technology, Natural Sciences and Maritime Studies at the University of South-Eastern Norway , Campus Vestfold. Since 2009 she has combined mathematics and oceanography to advance numerical modelling of coastal waters, in particular the Oslofjord system. Education: PhD in Fluid Mechanics, University of Oslo, 2009 – thesis on wave–current interactions in coastal tidal currents. Cand. Scient. in Oceanography, University of Bergen – thesis on cold CO₂ droplets in seawater. Cand. Mag. in Science, University of Bergen. Research interests revolve around fluid mechanics and physical oceanography . She develops and validates high-resolution numerical models that simulate water currents, tides, waves, and dispersion processes. Her work supports operational ocean forecasting, tidal-energy assessment, oil-spill contingency planning, and maritime training simulators. Project leadership spans more than 15 funded initiatives totalling over 30 MNOK. Flagship projects include the FjordOs series (2013–2021) that produced an operational forecast model for the Oslofjord, and collaborative grants on tidal power, clean propulsion, and micro-technology for pathogen detection. Publications and dissemination include 20+ peer-reviewed journal articles since 2012, keynote talks at IEEE OCEANS and JONSMOD, and popular lectures such as Mathematics in the Oslofjord . Student supervision is extensive: she mentors master’s and PhD candidates across mathematics, physics, and maritime programmes, though specific student names are not listed. Contact: karina.hjelmervik@usn.no | +47 31 00 93 25

• Impact Engineering
• Crashworthiness
• Lightweight Materials
• +۵ مورد دیگر

Magnus Langseth is a Professor at the Department of Structural Engineering at NTNU and Director of the SFI CASA Centre for Research-based Innovation (2015–2023). His research focuses on impact engineering, crashworthiness of aluminum and high-strength steel structures, and lightweight ballistic protection. He holds editorial roles in journals like the International Journal of Impact Engineering and has received prestigious awards such as the Médaille Albert Portevin and an Honorary Doctorate from Université de Valenciennes. Langseth earned his doctorate from NTNU in 1988 and previously directed SFI SIMLab (2007–2014), focusing on crashworthy structures. His research integrates laboratory testing, material modeling, and numerical analysis to address practical engineering challenges. Key areas include aluminum extrusions, self-piercing rivets, and energy-absorbing components under dynamic loads. Recent work includes studies on blast-loaded structures, polymer-coated pipelines, and neural network modeling of mechanical joints. His contributions span over 100 publications, emphasizing multiscale testing and industrial applications. Langseth is a member of the Royal Norwegian Society of Sciences and Letters and the Norwegian Academy of Technical Sciences.

• Stochastic Calculus
• Numerical Analysis
• Scientific Computing
• +۸ مورد دیگر

Antoine Tambue is a Full Professor in Mathematics at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences (HVL), Norway, and an Honorary Professor at the University of Cape Town, South Africa. His research focuses on stochastic calculus, numerical analysis, computational finance, and AI, with a vision to develop efficient numerical algorithms for high-dimensional problems in energy, finance, and data science. He holds a PhD from Heriot-Watt University (UK), funded by the ORS Awards Scheme, and has held postdoctoral roles at the University of Bergen and NTNU. He also served as the AIMS ARETÉ junior research Chair, supervising 5 PhD and 12 master’s students across multiple institutions. Education: Bachelor in Mathematics – University of Dschang, Cameroon Master in Mathematics – University of Yaounde I, Cameroon Professional Master in Mathematics Education – Ecole Normale Supérieure de Yaoundé Postgraduate Diploma in Mathematical Sciences – AIMS South Africa & University of Cape Town PhD in Mathematics – Heriot-Watt University (UK) Research Interests: Tambue’s work bridges stochastic analysis, numerical methods, and AI. Key areas include: - Developing scalable algorithms for high-dimensional PDEs and uncertainty quantification - Stochastic optimal control and Bayesian inference in computational finance and engineering - Machine learning applications in glaciology and energy systems. Scientific Awards: ORS Awards Scheme PhD Scholarship AIMS ARETÉ Junior Research Chair (Robert Bosch Stiftung) Advising & Grants: Supervised 5 PhD and 12 MSc students across Africa and Europe. Research funded by interdisciplinary projects linking applied mathematics to energy and environmental challenges.

Frank Melandsøمشاهده پروفایل

استاد

• Ultrasound
• Microwaves
• Optics
• +۵ مورد دیگر

Frank Melandsø is a Professor at the Department of Physics and Technology, UiT The Arctic University of Norway. His research focuses on ultrasound, microwaves, and optics, particularly in nondestructive testing and acoustic imaging technologies. Key research interests include: Development of advanced ultrasound and acoustic microscopy techniques Finite element modeling for wave propagation and transducer design Image processing algorithms for noise reduction and defect visualization Applications in materials science, marine biology, and biomedical imaging Recent publications highlight trends in deep learning applications, tilt compensation methods, and 3D imaging of complex materials. His collaborative work spans institutions and disciplines, with extensive contributions to sensors, imaging systems, and computational analysis. Professor Melandsø is actively involved in the Ultrasound, Microwaves and Optics research group and the VirtualStain project, based at Teknologibygget Tromsø 2.053.

• Cardiac Electrophysiology
• Computational Physiology
• Arrhythmia Prediction
• +۶ مورد دیگر

Hermenegild Arevalo serves as Chief Research Scientist and Head of the Department of Computational Physiology at Simula Research Laboratory, a leading independent research institution in Norway. His work focuses on developing and applying computational models to understand cardiac physiology and pathophysiology, with particular emphasis on arrhythmia mechanisms and prediction. Dr. Arevalo's research spans multiple domains of computational cardiology: Cardiac electrophysiology and electromechanics modeling Arrhythmia prediction and risk stratification Personalized cardiac modeling using patient-specific data Computational approaches to cardiac resynchronization therapy Fetal and maternal ECG signal analysis Integration of machine learning with cardiac modeling His recent publications demonstrate an evolution from fundamental cardiac electrophysiology toward increasingly sophisticated multi-scale models that connect cellular mechanisms with tissue and organ-level function. A key trend is the strong clinical translation focus, particularly in arrhythmia prediction and therapy planning. His work increasingly incorporates advanced image-based modeling techniques to create patient-specific simulations with direct clinical applications. The research shows growing emphasis on developing computational tools that can be used for personalized medicine approaches in cardiology. As Head of Department, Dr. Arevalo leads a research group that maintains strong interdisciplinary collaborations between computational scientists, clinicians, and engineers. His department appears actively engaged in both fundamental research on cardiac mechanisms and translational work aimed at clinical implementation. The Computational Physiology department at Simula serves as a hub for research connecting advanced computational methods with practical cardiology applications.

• Scientific Computing
• Applied mathematics
• Numerical methods
• +۲ مورد دیگر

Marie E. Rognes is a Chief Research Scientist at Simula Research Laboratory's Numerical Analysis and Scientific Computing department. She specializes in computational mathematics and biomedical modeling, particularly focusing on cerebral fluid dynamics, electrodiffusion, and poroelasticity. Her work bridges advanced numerical methods with clinical applications in neuroscience. Research Pillars: Brain waterscape modeling, finite element methods, and biophysical simulations Software Leadership: Key contributor to FEniCS and Dolfin-adjoint projects Application Domains: Neurodegenerative diseases, cardiac electrophysiology, and personalized medicine Recent publications reveal methodological innovations in perivascular flow modeling , ionic transport simulations , and multi-scale brain mechanics . Her work on glymphatic system dynamics and cardiac tissue modeling demonstrates cross-disciplinary impact. While no explicit awards are listed, her extensive publication record in top-tier computational journals (SIAM, PLOS, Nature Computational Science) and invited talks at premier conferences (SIAM, ECCOMAS, FEniCS workshops) establish her as a leading figure in biomedical computing.

• Control Systems
• Wind Energy
• Aerospace Engineering
• +۳ مورد دیگر

Morten Dinhoff Pedersen is an Associate Professor in the Department of Engineering Cybernetics at NTNU. He holds a MSc in Engineering Cybernetics from NTNU and a PhD focused on wind turbine modeling and control systems. His research spans control systems, wind energy, aerospace engineering, and biomedical applications such as surgical simulation and tissue mechanics modeling. He has authored/co-authored over 20 publications since 2012, including doctoral dissertations and peer-reviewed articles in journals like Wind Energy Science and Computer Methods and Programs in Biomedicine . His work often integrates advanced control theory with real-world applications in energy systems and medical devices. Research Interests Advanced control systems for wind turbines and multirotor systems Biomedical engineering applications in surgical robotics and haptic feedback Nonlinear modeling and system identification in aerospace and mechanical systems Recent publications emphasize multirotor system optimization, real-time tissue modeling for surgery, and inflow dynamics analysis for turbines. Grants & Advising Advises PhD candidate Finn Matras (2025 dissertation) Collaborates with interdisciplinary teams in biomechanics and renewable energy Teaching Course responsibilities include TTK4123 (Methods of Engineering Cybernetics) and TTK4111 (Control Systems)

Adrian Florin Raduمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Analysis
• Porous Media
• +۴ مورد دیگر

Adrian Florin Radu is a Professor in the Department of Mathematics at the University of Bergen, Norway. His research focuses on numerical analysis, applied mathematics, and computational methods for porous media systems, with particular emphasis on flow, transport, and coupled processes in complex environments. He has contributed to iterative schemes, upscaling techniques, and error estimation in multiphysics models. Key research areas include porous media flow, reactive transport, poromechanics, and numerical methods for coupled systems. His work addresses challenges in geosciences, environmental engineering, and mechanical systems through advanced mathematical modeling and simulation. Notable contributions include iterative coupling strategies for poroelasticity, adaptive time-stepping methods, and global random walk solvers for biodegradation processes. Radu's publications span topics such as dynamic capillary effects, fracture network modeling, and error analysis in wave equations. He has been involved in projects funded by the Research Council of Norway, including the FRACFLOW initiative. His research bridges theoretical developments with practical applications in environmental and energy systems.

• Biomechanics
• Computational Biomechanics
• Cardiovascular Biomechanics
• +۷ مورد دیگر

Victorien Prot is an Associate Professor in the Department of Structural Engineering at NTNU. His research focuses on cardiovascular biomechanics, computational biomechanics, mitral valve mechanics, and responsive hydrogels. He contributes to fibrous tissue modeling and soft materials through finite element analysis and constitutive modeling. Teaching includes Mechanics (TKT4126), Dynamics (TKT4102), Continuum Mechanics (KT8305), Non-linear Finite Element Analysis (TKT4197), and Biomechanics (TKT4150) at both undergraduate and PhD levels. He also engages with Mechanics 2 and Experts in Teamwork modules. Prot is affiliated with NTNU's Division of Biomechanics. His competencies span biomaterials, connective tissue analysis, and sustainable healthcare applications.

• Control Systems
• Mechanical Engineering
• Offshore Engineering
• +۵ مورد دیگر

Christian Holden is an Associate Professor at the Department of Mechanical Engineering and Manufacturing, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on control systems, mechanical engineering, and offshore engineering with applications in robotics, fluid dynamics, and marine systems. He holds a PhD in Modeling and Control of Parametric Roll Resonance (2011). Key research areas include adaptive control systems, drill-string dynamics, riser-tensioner systems, and hydrocyclone optimization. His work combines theoretical modeling with practical applications in offshore operations, robotics, and energy systems. Collaborations with industry and academia have yielded solutions for challenges in subsea engineering, drilling dynamics, and automation. Publications emphasize advanced control methodologies, simulation frameworks, and experimental validation. His recent work explores AI-driven trajectory planning for robotics and control-oriented models for industrial separation processes. Holden's contributions bridge mechanical engineering principles with cutting-edge control theory for real-world engineering systems.

• Structural Engineering
• Computational Mechanics
• Structural Dynamics
• +۵ مورد دیگر

Karl Vincent Høiseth serves as Professor in Design of Concrete Structures at NTNU's Department of Structural Engineering since 2002, concurrently holding an Adjunct Professorship in Masonry Structures since 2000. His research integrates computational mechanics with experimental validation for structural systems under extreme loading conditions. His academic credentials include: Dr Ing from Norwegian Institute of Technology (NTH), 1992 (Thesis: Nonlinear Analysis of Reinforced Concrete Structures Exposed to Transient Loading) MSc in Structural Engineering from NTH, 1981 Høiseth's research spans computational structural dynamics, Finite Element Method development, and experimental verification of mechanical models for reinforced concrete and masonry structures. His work directly informs building code recommendations through laboratory testing of material behavior under ice friction, snow loads, and transient forces. With over 30 years of research at SINTEF, NTNU, and TNO (Netherlands), his expertise bridges theoretical modeling and practical construction standards. Publication trends reveal sustained focus on masonry mechanics (2018-2025), concrete-ice interactions in cold regions (2015), and snow load physics (2006-2007). His current work updates Eurocode 6 standards while maintaining long-term investigation into structural durability under environmental stresses. As active member of SN/K 423 (Norway's national committee for CEN/TC 250/SC 6), he contributes to European structural design codes. His outreach includes frequent conference presentations on masonry engineering and structural reassessment techniques. Experimental work forms the foundation of his research methodology, utilizing 3D laser scanning and laboratory testing for structural validation. His leadership in NTNU's structural engineering group supports national infrastructure safety standards through applied research.

Tengjiao Jiangمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Structural Health Monitoring
• +۲ مورد دیگر

Tengjiao Jiang is a Researcher at the Department of Structural Engineering , Faculty of Engineering , Norwegian University of Science and Technology (NTNU) . Their work focuses on computer vision and deep learning applications for structural monitoring of transportation infrastructure. Research Interests : Computer Vision (CV) Machine Learning (ML) Optical Measurement Structural Health Monitoring (SHM) Condition Assessment of Transportation Infrastructures Recent Research Trends : Their publications (2020–2025) emphasize computer vision systems for railway and bridge monitoring, including uplift measurement, corrosion detection, displacement analysis, and damage assessment using CNNs and transformers. Key methods involve IMU sensors, line tracking, photogrammetry, and 3D reconstruction. Scientific Awards : Best Paper Award at IMAC-XLII conference (Jan 2024) Olympiad Medal in Olympiad in Engineering Science (May 2023) Supervision : Co-supervises PhD student Ziyue Lu (2022–present) and has co-supervised multiple Master’s students on topics like vision-based bridge inspection, modal identification, and vibration response analysis. Labs & Outreach : Conducts field tests on the Oslo Airport Line with vision-based monitoring systems.