Structural Optimization Professors and Supervisors in Norway

Szymon Mikolaj Szostakمشاهده پروفایل

پژوهشگر ارشد

University of OsloNorway

Szymon Mikolaj Szostak serves as a PhD Research Fellow in the Department of Chemistry at the University of Oslo's Faculty of Mathematics and Natural Sciences. He is affiliated with the Section for Chemical Life Sciences (Biomolecules, Bio-inspired Materials and Bioanalytics) and the Bio3 Research Group for Soft Matter & Scattering Methods, with his workspace in Room Ø214 at Sem Sælands vei 26. His academic foundation includes a Master's degree in Chemistry (2019–2021) and Bachelor's degree in Chemistry (2016–2019), both from the University of Warsaw. These qualifications underpin his current doctoral research trajectory focused on advanced nanomaterial design. Szostak's research centers on self-assembled nanostructures and sequence-defined peptoids, with specialized expertise in nanoparticle drug delivery systems. His work bridges nanomaterials synthesis, polymer physics, and biomedical applications, emphasizing controlled molecular assembly for therapeutic purposes. Key methodologies include soft matter characterization and bio-inspired material engineering. His 2024–2025 publications reveal a cohesive research trajectory in polymeric micelle thermodynamics, hydrogel sterilization protocols, and coacervation kinetics – demonstrating consistent innovation at the intersection of colloid science, pharmaceutical technology, and biomaterials engineering. These studies collectively advance fundamental understanding of nanostructure confinement effects and functional property optimization. As an active contributor to the Bio3 Research Group, Szostak participates in collaborative investigations utilizing scattering methods to probe soft matter systems, particularly focusing on structure-property relationships in biomimetic materials.

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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

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Hadi Amlashiمشاهده پروفایل

دانشیار

University of South-Eastern NorwayNorway

Hadi Amlashi serves as Associate Professor in the Department of Process, Energy and Environmental Technology at the University of South-Eastern Norway's Faculty of Technology, Natural Sciences and Maritime Sciences (Campus Porsgrunn), where he leads the Renewable Energy and Advanced Construction Technologies Laboratory (REACT-Lab). His academic foundation includes: PhD in Structural Mechanics and Reliability from Norwegian University of Science and Technology (NTNU) Research focuses on sustainable design optimization and advanced materials development with strong emphasis on circular economy principles. The REACT-Lab pioneers AI-integrated approaches for offshore wind infrastructure, targeting material efficiency and lifecycle sustainability through computational modeling and experimental validation. Current funding initiatives feature: Fully-funded PhD position in AI & Sustainable Materials for Offshore Wind (deadline September 1st) MSCA Postdoctoral Fellowship 2025 opportunities (proposal deadline September 10, 2025) The laboratory environment emphasizes interdisciplinary collaboration between engineering disciplines and industry partners, providing graduate students with hands-on experience in sustainable technology development for real-world renewable energy applications.

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Rajan Kumar Thapaمشاهده پروفایل

استاد

University of South-Eastern NorwayNorway

Rajan Kumar Thapa serves as Professor in the Department of Process, Energy and Environmental Technology at the Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway. Based at the Porsgrunn campus, he holds dual responsibilities in advanced structural engineering education and cutting-edge renewable energy research. His research portfolio centers on sustainable energy systems with emphasis on: Biomass gasification optimization in fluidized bed reactors Computational modeling of multiphase fluid-particle interactions Thermochemical conversion processes for waste valorization Structural integrity analysis of industrial piping systems Professor Thapa's work bridges theoretical modeling with practical engineering applications, targeting efficiency improvements in renewable energy infrastructure. His doctoral research established foundational methodologies for flow behavior optimization in biomass conversion systems. He actively mentors PhD, Master's and Bachelor's students while teaching specialized courses in Pipe and Structure Material Engineering. Current supervision focuses on computational energy systems and structural reliability projects within Norway's sustainable technology framework.

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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.

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Lars Asplinمشاهده پروفایل

پژوهشگر

Western Norway University of Applied SciencesNorway

Lars Asplin is a Researcher at the Institute of Marine Research (Havforskningsinstituttet) in Norway, where he has been employed since 1998. His work focuses on fjord and coastal oceanography with particular emphasis on the environmental impacts of aquaculture. He serves as project manager for the Fjord Oceanography and Coastal Climate (FOKK) initiative and is a work package leader in the ERA and NALO projects. Dr. Asplin's educational background includes a Cand. Scient. from the Department of Geophysics at the University of Oslo (1991) and a Dr. Scient. from the Geophysical Institute at the University of Bergen (1994). Following his doctoral studies, he worked as a Postdoc at the Department of Fisheries and Marine Biology at the University of Bergen from 1994 to 1997 before joining the Institute of Marine Research. His research primarily centers on physical processes in fjords and coastal waters, with particular focus on how these processes affect and are affected by aquaculture activities. Dr. Asplin has made significant contributions to understanding salmon lice dispersion patterns, which has directly informed Norway's regulatory framework for salmon farming. His work combines observational studies with advanced hydrodynamic modeling to address questions related to water circulation, pathogen spread, and environmental carrying capacity in fjord systems. Analysis of Dr. Asplin's recent publications reveals a strong focus on applying oceanographic principles to practical aquaculture management challenges. His work spans from fundamental research on fjord circulation patterns to applied studies supporting operational decision-making in the aquaculture industry. A notable trend is the increasing integration of climate change considerations into his research on coastal oceanography and aquaculture sustainability. Dr. Asplin has received recognition for his contributions to marine science through his extensive publication record and leadership in major research projects. His work has been instrumental in developing Norway's 'traffic light system' for salmon farming management, which uses hydrodynamic models to assess infection pressure and guide sustainable farm placement. As a supervisor and collaborator, Dr. Asplin has extensive experience working with interdisciplinary teams that include biologists, ecologists, and aquaculture specialists. His projects often involve both national and international collaborators, reflecting the global relevance of his research on sustainable aquaculture practices. He has secured funding for multiple research initiatives focused on understanding the interactions between aquaculture operations and the marine environment. Dr. Asplin leads research efforts focused on understanding water circulation patterns in Norwegian fjords and their implications for aquaculture management. His team develops and applies hydrodynamic models to study salmon lice dispersion, optimize fish farm locations, and assess environmental carrying capacity. This work provides critical scientific support for regulatory decisions in Norway's aquaculture industry.

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Vidar Remi Jensenمشاهده پروفایل

استاد

University of BergenNorway

Vidar Remi Jensen is a Professor in the Department of Chemistry at the University of Bergen (UiB), where he leads research at the intersection of computational chemistry and catalyst design. His work focuses on developing theoretical frameworks to understand and predict catalyst behavior, with particular emphasis on olefin metathesis reactions. Professor Jensen's research interests center on computational approaches to catalyst design, with major contributions in Z- and E-selective olefin metathesis, automated de novo design of organometallic complexes, and computational-experimental integration for catalyst development. His group applies advanced quantum chemical methods, particularly Density Functional Theory (DFT), to elucidate reaction mechanisms, predict catalyst performance, and develop design principles for improved catalytic systems. Recent work has increasingly focused on automated design frameworks that can generate and evaluate potential catalyst structures based on computational predictions. Analysis of his publication record from 2021-2025 reveals a strong focus on stereoselective metathesis, computational catalyst design, and biomass conversion applications. His work demonstrates consistent integration of computational predictions with experimental validation, often through international collaborations. A notable trend is the development of automated frameworks for catalyst design that move beyond traditional trial-and-error approaches. Professor Jensen's research program benefits from sustained funding that supports both computational infrastructure and collaborative experimental work. His group maintains active collaborations with experimental chemistry groups worldwide, creating a productive feedback loop between computational prediction and experimental validation. This approach has yielded significant insights into catalyst decomposition pathways, structure-activity relationships, and design principles for improved catalytic performance. The research environment led by Professor Jensen provides students and researchers with opportunities to work at the cutting edge of computational catalyst design, developing skills that bridge theoretical chemistry and practical applications in sustainable chemistry and pharmaceutical synthesis.

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Knut Olav Strætkvernمشاهده پروفایل

استاد

Inland Norway University of Applied SciencesNorway

Knut Olav Strætkvern is a Professor at the Department of Biotechnology, Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, University of Inland Norway. He has been researching and teaching bioprocess technology since 1992, with a focus on biomass utilization, bioactive compounds, and protein technology.

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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 .

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Karim Tamssaouetمشاهده پروفایل

دانشیار

BI Norwegian Business SchoolNorway

Karim Tamssaouet is an Associate Professor at BI Norwegian Business School's Department of Accounting, Auditing and Business Economics. His academic trajectory includes positions as Assistant Professor at BI (2020-2024), Postdoctoral Researcher at École des Mines de Saint-Étienne (2019-2020), and R&D Engineer at STMicroelectronics (2016-2019). He holds a PhD from École des Mines de Saint-Étienne, with additional graduate degrees from Université Paris Dauphine and Ecole Nationale Polytechnique. His research specializes in optimization methodologies for industrial challenges, with core interests in: Scheduling algorithms for job-shop and flexible manufacturing systems Integrated inventory-transportation modeling Metaheuristic design (scatter search, neighborhood structures) Dynamic lot-sizing with logistics constraints Bayesian network learning for decision optimization Publication analysis reveals consistent focus on operational efficiency in manufacturing and supply chains, with recent expansions into machine learning applications for optimization. Methodological contributions include novel neighborhood frameworks for scheduling problems and multi-objective approaches for semiconductor production. He currently teaches Business Optimization and Supply Chain Analytics, bridging theoretical operations research with business applications. No research lab affiliations, scientific awards, or supervised students are documented.

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Paul Ehlingمشاهده پروفایل

استاد

BI Norwegian Business SchoolNorway

Paul Ehling is a Professor of Finance at BI Norwegian Business School in Oslo, Norway, where he has taught since 2005. He previously served as a Visiting Assistant Professor at Pennsylvania State University. His academic credentials include a PhD from HEC Lausanne and undergraduate/graduate degrees from the University of Basel. His research spans: Asset pricing, derivatives, and portfolio optimization Corporate risk management and financial economics ESG investing and sustainable finance Business cycles, inflation modeling, and tax-efficient trading His publications frequently explore the intersection of theoretical finance and empirical market behavior, with recent emphasis on ESG customization, cyclical risk factors, and investor learning. Teaching includes PhD-level Asset Pricing Theory and MSc Derivatives courses. Industry experience includes consultancy on risk management and derivatives valuation for corporations. No scientific awards or current student advisees are listed.

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Flemming Larsenمشاهده پروفایل

استاد

Oslo Metropolitan UniversityNorway

Flemming Larsen serves as a Professor within the Department of Social Work, Child Welfare and Social Policy at Oslo Metropolitan University's Faculty of Social Sciences. His research focuses on organizational dynamics in public welfare systems, with particular emphasis on street-level bureaucratic practices and service innovation. His research interests center on Public Management and Social Work systems, examining how frontline workers navigate policy implementation within child welfare frameworks. Current investigations explore bureaucratic discretion in welfare delivery, organizational innovation in public service provision, and the intersection of policy mandates with practical service delivery constraints. Recent scholarly output demonstrates consistent focus on governance structures within Scandinavian welfare states, with particular attention to operational challenges faced by street-level bureaucrats. His work bridges theoretical public administration concepts with empirical analysis of social service organizations. Larsen maintains active involvement in the Service Organization and Innovation in Social Work and Child Protection Research group, contributing to interdisciplinary projects examining welfare state modernization and service delivery optimization.

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