جست‌وجوی استاد و پژوهشگر

Jan Henriksenمشاهده پروفایل

استاد

• Finite Element Method
• Numerical Simulation
• 3D CAD Design
• +۳ مورد دیگر

Jan Henriksen serves as Professor and head of the Mechatronic Section at the Department of Engineering Sciences, University of Agder (UiA). His career bridges industry experience in oil and gas product development with academic expertise in mechanical systems analysis and numerical simulation. His academic credentials include: Master's degree in Mechanical Engineering from the Norwegian University of Science and Technology (NTH) PhD in Mechatronics from the University of Agder Professor Henriksen's research centers on Finite Element Method (FEM) applications for mechanical systems, with specialization in nonlinear numerical simulations , 3D CAD design , and cold forming techniques for pipeline connections . His work in Machine Design focuses on structural integrity of mechanical components, particularly novel pipe-to-flange joining methods validated through combined experimental and computational approaches. Recent publications demonstrate expanding interests in agile engineering methodologies alongside core mechanical engineering research. His publication portfolio reveals consistent focus on mechanical engineering challenges, predominantly addressing pipeline system integrity through FEM-based solutions. The research trajectory shows progression from fundamental FEM simulations (2011-2013) to experimentally verified cold-forming techniques (2015-2018), with a notable 2022 exploration of agile team management frameworks. As an educator, Henriksen teaches across UiA's engineering curriculum including MAS101 (3D Construction), MAS102/MAS412 (Machine Elements), MAS103 (Material Science), MAS215 (Lightweight Constructions), and MAS504/MAS505 (Finite Element Method). His leadership as section head encompasses both academic administration and research direction within the mechatronics discipline. He maintains active involvement with the Machine Design research group, where current projects emphasize computational modeling of mechanical systems and innovative connection methodologies for industrial applications.

Miroslav Kuchtaمشاهده پروفایل

پژوهشگر

• Scientific Machine Learning
• Finite Element Method
• Monolithic Preconditioning
• +۳ مورد دیگر

Dr. Miroslav Kuchta is a Research Scientist at the Simula Research Laboratory, specializing in Scientific Machine Learning. He integrates classical numerical algorithms with modern machine learning tools, focusing on hybrid models that combine finite element methods (FEM) with neural networks (NN) to enforce physical constraints. Education: MSc in Mathematical Modeling, Charles University, Prague PhD in Applied Mathematics, University of Oslo Research Interests: His work centers on efficient numerical schemes for multiphysics problems, hybrid FEM-NN models, and their applications. He explores training strategies, stability, and approximation properties of hybrid models, bridging computational mathematics and machine learning. Supervision: He supervises computer science projects at Simula, including topics like "Stable representations in deep learning."

• Structural Engineering
• Conceptual Design
• Form Finding Methods
• +۷ مورد دیگر

Marcin Luczkowski serves as an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), Faculty of Engineering. His research focuses on developing form finding methods for shells and long span structures, with special emphasis on digital fabrication and mass customization. He is a key member of the Conceptual Structural Designing Group where he investigates new numerical methods to improve building processes and bridge the gap between design and manufacturing. His research interests include structural optimization, parametric design, building information modeling (BIM), and computational methods for structural engineering. Luczkowski's work centers on creating better numerical methods for form finding, improving building process quality, adapting parametric platforms for structural engineering according to manufacturing changes, and developing more effective usage of BIM and FEM for digital fabrication. His recent publications reveal a growing focus on sustainable construction practices, particularly circular economy principles applied to timber structures and material reuse. His research publications from 2016-2025 demonstrate consistent contributions to structural engineering, with increasing emphasis on interdisciplinary approaches combining architecture, engineering, and computational methods. Recent work shows significant interest in circular economy applications within structural engineering, particularly regarding timber construction and material reuse. His technical expertise spans from fundamental structural design to advanced computational tools development, including Grasshopper plugins for finite element analysis. Luczkowski has received recognition for his innovative approaches to structural design, particularly in the areas of timber gridshells, parametric detailing of structural connections, and the integration of architectural considerations into structural engineering education. His work on aluminum nodes for timber gridshells and matching algorithms for reclaimed building elements demonstrates practical applications of his research. As an educator, he teaches structural design courses and has participated in numerous academic lectures and conferences worldwide, presenting on topics ranging from parametric approaches to design to digital workflows for timber free-form structures. His teaching philosophy appears to emphasize the integration of architectural considerations into structural engineering education, as evidenced by his research on improving structural engineering curriculum through architectural inclusion.

Hoa Nguyenمشاهده پروفایل

پژوهشگر

• Finite Element Methods (FEM)
• Isogeometric Analysis (IGA)
• Rod, Beam, and Shell Models
• +۳ مورد دیگر

Hoa Nguyen is a Postdoctoral Researcher at the Bergen Offshore Wind Center (BOW), University of Bergen, Norway. She holds a Ph.D. in Computational Mechanics from TU Darmstadt (2023) and M.Sc./B.Sc. degrees in Civil Engineering from TU Munich and the University of Applied Science for Engineering and Economics Berlin. Her research focuses on advanced numerical methods such as isogeometric analysis (IGA), finite element methods (FEM), and data-driven approaches applied to offshore wind turbine dynamics, thin-walled structures, and explicit dynamics simulations. Education: Ph.D. (Dr.-Ing.), TU Darmstadt (2023), Thesis: Higher-order accurate and locking-free explicit dynamics in isogeometric structural analysis M.Sc., TU Munich (2020), Thesis: Efficient Hybrid Time-Frequency-Domain Method for Nonlinear Soil-Structure-Interaction Systems B.Sc., University of Applied Science Berlin (2016) Research Interests: Dr. Nguyen specializes in developing high-order accurate numerical methods for structural mechanics, including isogeometric analysis of rods, beams, and shells. Her work addresses challenges like membrane locking, explicit dynamics mass lumping, and data-driven aerohydroelastic simulations for offshore wind turbines. She also explores advanced interface models for thin layers using complex variable-based asymptotic analysis. Key Contributions: Her recent work includes robust formulations for nonlinear shear- and torsion-free rods, spectral analysis for locking phenomena, and improved mass lumping techniques in IGA. These methods enhance efficiency and accuracy in simulations of offshore wind turbine mooring lines and thin-walled structures. Awards: Best Dissertation Award (Department of Civil and Environmental Engineering, TU Darmstadt, 2024) Outstanding Master Thesis Award (Stiftung Maurer Soehne Munich, 2020) Hans-Rudolf-Foundation Scholarship (2018-2019) Grants & Projects: She leads the DATA-DRIVEN OFFSHORE project, focusing on data-driven approaches for aerohydroelastic analysis of offshore wind turbines. Her work integrates advanced numerical methods with practical engineering challenges in renewable energy systems.

Audun Oppedal Pedersenمشاهده پروفایل

دانشیار

• Acoustics
• Ultrasonic Waves
• Fisheries Acoustics
• +۲ مورد دیگر

Dr. Audun Oppedal Pedersen is an Associate Professor specializing in Acoustics and Ocean Technology at the University of Bergen's Department of Physics and Technology. His research focuses on acoustic wave propagation, ultrasonic transducer technology, and applications in industrial monitoring and marine biology. Dr. Pedersen has developed tomographic methods for pipeline corrosion monitoring using guided ultrasonic waves and advanced techniques for fisheries acoustics including salmon size estimation through target strength analysis. His work frequently employs finite element modeling (FEM) for transducer calibration and acoustic system optimization.

• Structural Engineering
• Geotechnics
• Steel Connections
• +۴ مورد دیگر

Katalin Vertes is an Associate Professor at the Department of Engineering Sciences, University of Agder. She holds an MSc in Structural Engineering & Geotechnics (2000) and a PhD in Civil Engineering (2006) focused on steel semi-rigid connections and chain bridge eye-bars. Research Focus: Steel structures, Ultra-High Performance Concrete (UHPC), Finite Element Method (FEM), lifecycle analysis, and bridge engineering. Key Publications (2017-2020): Explored fiber-reinforced UHPC optimization, environmental impact of UHPC, and lifecycle assessment of timber/concrete bridges. Teaching: Courses in steel/timber structures, FEM, aluminum/timber materials, and structural lifecycle analysis. Collaborations: Worked on multidisciplinary projects with researchers like Ingrid Lande Larsen, Reyn Joseph O'Born, and Miklós Iványi.

• Computational Mechanics
• Materials Modeling
• Crystal Plasticity
• +۴ مورد دیگر

Tomas Manik is an Associate Professor in the Department of Materials Science and Engineering at the Norwegian University of Science and Technology (NTNU), Faculty of Natural Sciences. His research and teaching focus on computational mechanics of materials with emphasis on crystal plasticity modeling and constitutive theory development. His research interests span computational mechanics with specialization in crystal plasticity modeling, anisotropic yield functions, strain path change effects, and post-necking stress corrections. He develops advanced computational frameworks including grain-cluster models, discrete dislocation dynamics approaches, and phase field methods for grain growth. His work bridges theoretical materials science with industrial metal forming applications, particularly for aluminum alloys. Analysis of his 15 most recent publications (2021-2025) reveals consistent focus on crystal plasticity algorithm development (6 publications), anisotropic yield function characterization (4 publications), and metal forming phenomena including the Portevin-Le Chatelier effect (3 publications). His work increasingly incorporates open-source implementations and computational efficiency improvements. Professor Manik actively supervises graduate students, with Hassan Moradi Asadkandi completing a 2025 doctoral dissertation under his guidance. He teaches advanced courses including Material and Process Modelling (TMT4210), Applied Materials Technology (TMT4178), and Advanced Materials Science (MT8218). His research group maintains active participation in major international conferences including COMPLAS, Thermec, and ICOTOM, with multiple presentations in 2023-2025 covering crystal plasticity implementations, yield surface calibrations, and industrial applications of constitutive models.