Structural Equation Modeling Professors and Supervisors in Norway

Pål Ullebergمشاهده پروفایل

استاد

University of OsloNorway

Pål Ulleberg is a Professor at the Department of Psychology, University of Oslo, specializing in quantitative research methods and safety psychology. His academic appointment focuses on methodological approaches within psychology, particularly in the areas of transport safety and organizational behavior. As a principal investigator at the Department of Psychology and a member of the National Research Ethics Committee for Social Sciences and Humanities (NESH), he plays a significant role in shaping research standards and ethics in Norwegian academia. Professor Ulleberg's research interests primarily center on quantitative research methods, with emphasis on multivariate methods, structural equation modeling, and meta-analyses. Within safety psychology, his work focuses on accident prevention, particularly in transport and industry settings. His research applies models and theories from social psychology, personality psychology, and cognitive psychology to safety-relevant behaviors, aiming to understand, explain, and ultimately influence behavior to prevent accidents. His work spans organizational psychology, work psychology, and methodological innovations in psychological research. His recent publications reveal a strong focus on transportation psychology, particularly regarding autonomous vehicles and public acceptance of new transport technologies. His work also extends to mental health interventions, peer review processes, and organizational behavior. The breadth of his research demonstrates consistent application of rigorous quantitative methods across diverse psychological domains, from traffic safety to clinical interventions and organizational effectiveness. Professor Ulleberg received the Teaching Award at the Department of Psychology, University of Oslo, in 2008, recognizing his excellence in education. His commitment to teaching is evident through his instruction of advanced quantitative methods courses including PSYC2104 – Quantitative Methods A and PSY4020 – Applied quantitative research methods. Professor Ulleberg earned his doctorate in psychology from the Norwegian University of Science and Technology (NTNU) in 2002. Before joining the University of Oslo as an associate professor in 2007 (later promoted to Professor), he worked in psychiatric health services research, accident prevention, and served as an associate professor of psychometrics at NTNU. His current research projects include CAST (Campaign and awareness-raising strategies in traffic), CyWalk (Internet survey about the means of transport of the future), and research on The use of Expert Reports as evidence in Child Protection Decision-Making.

پروفایل رسمی دانشگاه

Jonas Kolsrudمشاهده پروفایل

مدرس ارشد

NHH Norwegian School of EconomicsNorway

Jonas Kolsrud is a Senior Lecturer at the Department of Economics and Statistics , Linnaeus University , Sweden. His research focuses on consumption and saving behavior , public social insurance programs , and wage formation in the context of Sweden’s labor market. Key research themes include wealth taxation dynamics, unemployment insurance for non-standard workers, and the interplay between cognitive ability and income sources. Current projects analyze labor shortages, minimum wage impacts, and precautionary saving under business cycles. Publication trends highlight Sweden as a case study for OECD countries, with empirical analyses using registry data on wealth, firm ownership, and migration. His work spans public economics , labor market policy , and macroeconomic modeling .

پروفایل رسمی دانشگاه

Magnus Bruasetمشاهده پروفایل

استاد

University of OsloNorway

Magnus Bruaset is a Professor and Director of the Software & AI Department at Simula Research Laboratory , with expertise in computational geosciences, numerical methods, and quantum computing. His work spans geological modeling, PDE solvers, and software development frameworks like Diffpack. Education : PhD in preconditioned iterative methods for elliptic problems (1992), Master's in preconditioning symmetric systems (1988). Research Interests : Focus on numerical analysis, GPU acceleration of geological simulations, stochastic modeling for uncertainty quantification, and quantum computing strategy. Key projects include Hamilton-Jacobi solvers, particle-based flow models, and contributions to digital contact tracing systems. Advising & Collaboration : Co-developed PhD training workshops for scientific communication and contributed to industrial-academic partnerships. Collaborated with institutions including ChevronTexaco, Wolfram Research, and University of Oslo.

پروفایل رسمی دانشگاه

Marius Causemannمشاهده پروفایل

پژوهشگر

University of OsloNorway

Marius Causemann is a Postdoctoral Researcher in the Numerical Analysis and Scientific Computing department at Simula Research Laboratory , focusing on computational modeling of brain mechanics and fluid dynamics. His work bridges mathematics, neuroscience, and biomedical simulation through high-fidelity numerical methods. Research Interests include: Computational Neuroscience Biomechanics of Gliovascular Systems Poroelastic and Fluid-Structure Interaction Models Numerical Methods for Multi-Physics Problems Mathematical Physiology His recent publications emphasize in-silico modeling of molecular clearance in intracranial spaces, dual-poroelasticity solvers, and high-resolution meshing of brain tissues. These works contribute to understanding glymphatic pathways, neurovascular coupling, and cerebrospinal fluid dynamics.

پروفایل رسمی دانشگاه

Trygve Helgakerمشاهده پروفایل

استاد

University of OsloNorway

Trygve Helgaker is a Professor of Theoretical Chemistry at the Department of Chemistry, University of Oslo, and serves as Director of the Hylleraas Centre for Quantum Molecular Sciences, a Norwegian Centre of Excellence with over sixty members. His research focuses on molecular electronic-structure theory and quantum chemistry, particularly the interaction of molecules with electromagnetic fields and molecular properties under extreme conditions. PhD in 1986 Sabbatical years at University of Cambridge and Durham University Member of the International Academy of Quantum Molecular Sciences Published over 300 articles with 34,000 citations (H-index: 86) Organized 13 international summer schools in theoretical chemistry His work spans high-accuracy methods for small molecules, density-functional theory, and molecules in ultra-strong magnetic fields. He has contributed to the development of computational programs and co-authored the standard textbook Molecular Electronic-Structure Theory . Helgaker has supervised 16 PhD students and held an ERC Advanced Grant (2011–2016). Scientific awards : ERC Advanced Grant Member, International Academy of Quantum Molecular Sciences He has been involved in projects like Chemistry Development of density-functional methods utilizing tensor densities and Molecular Noninteracting Kinetic Energy by Machine Learning , and actively contributes to computational quantum chemistry platforms such as the Dalton Project.

پروفایل رسمی دانشگاه

Morten Hjorth-Jensenمشاهده پروفایل

استاد

University of OsloNorway

Professor Morten Hjorth-Jensen is a theoretical physicist affiliated with the Department of Physics at the University of Oslo and the Department of Physics and Astronomy at Michigan State University. He has held a shared professorship between these institutions since 2012, with prior roles as an associate professor (1999) and full professor (2001) at the University of Oslo. Education: PhD in Physics, University of Oslo (1993) His research spans computational physics, nuclear many-body theory, quantum computing, and machine learning, focusing on solving Schrödinger's and Dirac's equations for complex systems. He explores algorithmic methods, quantum mechanical properties, and interdisciplinary applications of machine learning in nuclear and particle physics. Recent publications highlight his expertise in quantum computing algorithms for many-body systems, machine learning in nuclear physics, and computational modeling of neutron stars. Themes include neural networks, Bayesian methods, and quantum simulations. Supervision: Geoscience: Optimal Climate Physics: Frictional properties of surface structures generated by machine learning Machine-learning-based molecular modeling of nanoscale geological processes Quantum computing algorithms for quantum mechanical many-body systems

پروفایل رسمی دانشگاه

Ziaul Haque Munimمشاهده پروفایل

استاد

University of South-Eastern NorwayNorway

Professor Ziaul Haque Munim serves as a full-time faculty member at the University of South-Eastern Norway (USN), holding the position of Professor in the Institute of Maritime Operations within the Faculty of Technology, Natural Sciences and Maritime Affairs at the Vestfold campus. His academic responsibilities include teaching Supply Chain Management, Logistics, and Maritime Economics courses while conducting research at the intersection of maritime operations and advanced analytics. His educational qualifications feature: PhD in Maritime Logistics, University of Agder, Norway (2015-2018) MSc in Supply Chain Management, Vienna University of Economics and Business (2013-2015) MEng in Autonomous Maritime Operations, Novia University of Applied Sciences, Finland (2023-2025) BBA in Finance, Eastern University, Bangladesh (2007-2011) Professor Munim's research focuses on transformative maritime technologies including autonomous shipping systems and AI-driven risk assessment, alongside sustainability initiatives in green port management. His methodological expertise spans Structural Equation Modeling and machine learning applications for optimizing supply chain resilience in global shipping networks. Current work emphasizes accident risk modeling for autonomous maritime operations using artificial intelligence frameworks. His research excellence is recognized through: Palgrave Macmillan Best Paper Award (IAME 2016) KLU Young Researcher Best Paper Award (IAME 2018) As an educator, Professor Munim actively supervises student research and contributes to curriculum development in maritime logistics. His recent consultancy engagement with Transport Canada demonstrates the practical impact of his academic work on national transportation policy. Ongoing projects focus on integrating machine learning techniques with maritime economic modeling to address industry challenges in port competitiveness and sustainable shipping operations.

پروفایل رسمی دانشگاه

Hakim Lyngstadåsمشاهده پروفایل

دانشیار

BI Norwegian Business SchoolNorway

Hakim Lyngstadås is an Associate Professor at BI Norwegian Business School's Department of Accounting, Auditing and Business Administration, where he has been employed since 2014, initially as a Lecturer before advancing to his current role. Education: Ph.D. in Economics and Management, NTNU (2020) Master's Degree, Norwegian University of Life Sciences (2013) Master in Psychology, NTNU (2010) His research explores the intersection of accounting with emerging trends like digitalisation and sustainability. Key areas include operational efficiency, supply chain collaboration, and the psychological impacts of workplace digitalisation. He employs methodologies such as fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling to dissect complex managerial and financial systems. Recent publications (2016–2024) reveal a strong focus on financial performance optimization through working capital management, auditing efficacy in small firms, and sustainable accounting education. His work frequently appears in journals like Production Planning & Control and Journal of Management Control . He maintains active collaborations with institutions like NTNU and contributes to academic discourse through peer review for journals including International Journal of Operations and Production Management .

پروفایل رسمی دانشگاه

Lars Erik Holmedalمشاهده پروفایل

استاد

Norwegian University of Science and TechnologyNorway

Lars Erik Holmedal is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Engineering. His office is located at the Marine Technology Center (Marinteknisk senter), room C2.080, on the Tyholt campus at Otto Nielsens veg 10. With a continuous publication record spanning over two decades from 2004 through 2025, Professor Holmedal maintains an active research program in marine hydrodynamics and fluid mechanics. Professor Holmedal's research focuses on fluid dynamics , marine hydrodynamics , and coastal engineering , with particular emphasis on boundary layer flows, wave mechanics, and sediment transport phenomena. His work examines complex flow interactions around marine structures, wave-induced scour mechanisms, and sediment transport in combined wave-current environments. He employs sophisticated computational fluid dynamics approaches to investigate oscillatory flows, vortex dynamics, and seabed boundary layer processes under various environmental conditions. Analysis of his recent publications (2021-2025) reveals continued focus on cylinder flow dynamics, wave-structure interactions, and sediment transport mechanisms. His research has evolved to address increasingly complex scenarios including bichromatic and bidirectional waves, combined wave-current interactions, and more sophisticated geometries. His work appears in prestigious journals including Journal of Fluid Mechanics, Physics of Fluids, and Coastal Engineering. Professor Holmedal maintains active collaborations with colleagues at NTNU, particularly with Dag Myrhaug, Jianxun Zhu, and Cai Tian, as evidenced by his extensive co-authored publications. His research contributes significantly to understanding fundamental fluid mechanics processes relevant to offshore structures, coastal protection, and marine infrastructure design. His publication 'From Teaching as Transmission to Constructive Alignment: A Case Study of Learning Design' (2021) indicates engagement in pedagogical research and curriculum development within engineering education. As a professor at NTNU, he likely supervises graduate students working on computational fluid dynamics and marine structure-related research projects.

پروفایل رسمی دانشگاه

Tomas Manikمشاهده پروفایل

دانشیار

Norwegian University of Science And TechnologyNorway

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.

پروفایل رسمی دانشگاه