Tatiana Kuznetsova is a Professor at the University of Bergen's Department of Physics and Technology. She leads the Theoretical Physics Research Group, focusing on gas hydrates, molecular dynamics, and thermodynamics. Her work addresses energy challenges like CO₂ sequestration and flow assurance. She collaborates with the FME-SUCCESS consortium and NORCE Energy. Her research spans: Hydrate formation/dissociation kinetics Interfacial properties of CO₂/water systems Thermodynamic modeling of phase transitions Surfactant applications in flow assurance Recent publications emphasize hydrate stability in sediments, thermodynamic frameworks for energy systems, and molecular-scale interactions in multiphase environments. Her work integrates simulations with experimental validation. She actively mentors graduate students in hydrate physics and computational methods, contributing to Norway's energy research initiatives. Lab activities include collaborative projects on Arctic gas hydrates and carbon capture.
Bjørn Sætrevik is a Professor at the Department of Social Psychology, University of Bergen. His work bridges cognitive and social psychology with applied human factors, emphasizing real-world problem-solving in high-stakes environments. Research Focus: He investigates cognitive processes (attention, decision biases, mental models) and social dynamics (team communication, situational awareness). Key themes include pandemic behavior (e.g., compliance drivers), maritime safety, and technology-enhanced collaboration. His studies often employ field experiments and large-scale surveys to capture nuanced human behavior. Publication Trends: Recent articles (2022–2025) show a strong emphasis on crisis response—particularly COVID-19 risk perception and containment—alongside innovations in augmented reality for teamwork. Replication studies and cross-cultural validations are recurring motifs, reflecting his commitment to robust psychological science. Projects and Impact: He leads projects on police decision-making simulations, clinical bias reduction, and maritime human factors. His dissemination efforts include accessible science writing on cognitive myths and AI ethics, extending academic insights to public discourse.
Eilif Sommer Øyre is a Research Fellow at the Rosseland Centre for Solar Physics, University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. Based in Room 210 at Svein Rosselands hus, he contributes to solar physics research and high-performance computing initiatives, with contact via e.s.oyre@astro.uio.no. His academic background includes: Master of Science in Engineering Physics from the Norwegian University of Science and Technology (NTNU), 2021 His research centers on solar physics and computational methods, specializing in accelerated particles, numerical analysis, and high-performance computing. He develops simulations to model solar phenomena and particle acceleration mechanisms, bridging astrophysical theory with advanced computational techniques for energy-related processes in stellar environments. His 2020 publications reveal interdisciplinary expertise, applying astrophysical computational frameworks to energy engineering challenges—specifically salinity gradient power generation and battery thermal systems—highlighting methodological transfer between solar physics and sustainable energy technologies. As a teaching assistant for AST2000 - Introduction to Astrophysics, he mentors undergraduate students in core astrophysical concepts. He actively collaborates within the Rosseland Centre for Solar Physics team, leveraging high-performance computing resources for solar dynamics simulations and contributing to Norway's leadership in solar research.
Espen Andersen is an Associate Professor at BI Norwegian Business School's Department of Strategy and Entrepreneurship and holds an adjunct position at the University of Oslo's Department of Computer Science. With a D.B.A. from Harvard Business School and M.Sc. from BI Norwegian Business School, he maintains a research focus on technology strategy, digital transformation, and innovation management. His research explores: Data-driven organizational decision-making Disruptive impacts of digital technologies Machine learning in business strategy Innovation processes in technology firms Knowledge management systems Publication trends show consistent focus on digital transformation challenges, with recent work examining AI's organizational impact and strategies for technological adaptation. His articles frequently employ business case methodologies across multiple industries. Awards and recognition: Excellent Teaching Practitioner (2023) Andersen actively contributes to executive education through Comunità networks, consults internationally on technology strategy, and maintains academic blogs in both English (Applied Abstractions) and Norwegian (Tversover).
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.
Andrew Caplin is the Silver Professor of Economics at New York University, where he co-directs the Center for Experimental Social Science and leads multiple research initiatives. His primary affiliations include ongoing roles at NYU and as a Research Associate at the National Bureau of Economic Research (NBER). Professor Caplin's research spans behavioral economics, household finance, cognitive foundations of decision-making, and economic data engineering. Key themes include: Modeling of economic decision-making under cognitive constraints Labor market dynamics and retirement behavior Design and evaluation of economic policies Integration of machine learning with economic theory His recent publications (2019-2025) demonstrate a consistent focus on experimental economics and behavioral insights, with emerging emphasis on AI interactions and judicial decision-making. The work increasingly employs field experiments and large-scale surveys across international contexts. Honors include election as Fellow of the Econometric Society. He leads significant grants including the Sloan-Nomis Program and Vanguard Research Initiative, supporting investigations into cognitive-economic interfaces and retirement planning. At the Center for Experimental Social Science, Professor Caplin coordinates interdisciplinary research on human behavior using experimental methods, facilitating collaborations across economics, psychology, and data science.
Christian K. Wolf is an Assistant Professor in the Department of Economics at the Massachusetts Institute of Technology (MIT), where he also serves as a Faculty Research Fellow. He is affiliated with the National Bureau of Economic Research (NBER), participating in both the Economic Fluctuations and Growth Program and the Monetary Economics Program. His research bridges macroeconomics and econometrics, with a particular focus on methodological approaches for policy analysis. Wolf's research interests span macroeconomics, econometrics, monetary policy, fiscal policy, time series analysis, and structural modeling. He has made significant contributions to understanding the relationship between local projection methods and vector autoregressions, fiscal deficit financing mechanisms, and the evaluation of monetary policy counterfactuals. His work often explores the connections between micro-founded models and empirical evidence, particularly examining how household heterogeneity affects macroeconomic dynamics. His recent publications reveal a strong focus on methodological questions in macroeconometrics and substantive questions about fiscal-monetary policy interactions. Wolf frequently collaborates with leading macroeconomists including George-Marios Angeletos, Mikkel Plagborg-Møller, and Alisdair McKay. His work appears in top economics journals and NBER working papers, demonstrating both theoretical rigor and practical relevance for policy analysis. Wolf maintains an active research profile with numerous publications in the past few years, covering diverse topics from the equivalence between interest rate cuts and stimulus payments to how demand composition affects economic recoveries. His personal website at christiankwolf.com serves as a hub for his academic work and publications.
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.
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.
Jens Christofer Werenskiold serves as Associate Professor in the Department of Materials Science and Engineering at the Norwegian University of Science and Technology (NTNU), Faculty of Engineering. His office is located in Kjemi 1, room 325, at the Gløshaugen campus in Trondheim. Professor Werenskiold's research focuses on advanced materials processing techniques, particularly severe plastic deformation methods including Equal Channel Angular Pressing (ECAP) and metal screw extrusion for aluminum alloys. His work investigates microstructure evolution, grain refinement mechanisms, and nanoparticle applications in aluminum welding technologies. Recent research emphasizes TiC nanoparticle inoculation in filler wires and metal screw extrusion processes for enhancing aluminum weld properties. His publication record shows consistent output since completing his doctoral dissertation in 2004, with recent increased activity in 2022-2024. The 2024 literature review in Metals demonstrates his recognized expertise in metal extrusion technologies. Professor Werenskiold maintains strong collaborative relationships, particularly with Hans Jørgen Roven and Geir Langelandsvik. As an educator, he teaches TMT4178 - Applied Materials Technology and TMT4240 - Microstructure and Properties of Metals. His supervision of multiple Master's theses indicates active engagement in graduate education, with students researching aluminum TiC nano-composites, weld metal refinement, and extrusion processes. Professor Werenskiold regularly presents research at international conferences including the International Conference on Light Materials and NANOSPD series, demonstrating his active participation in the global materials science community. His work bridges fundamental materials science with practical industrial applications in aluminum processing and welding technologies.
Håkon Johan Sandven is a Postdoctoral Researcher at the Department of Physics and Technology, Faculty of Mathematics and Natural Sciences, University of Bergen (UiB). His research focuses on ocean optics with particular emphasis on light penetration in Arctic waters and the Barents Sea. He collaborates extensively with the Norwegian Polar Institute and participates in multiple international research projects examining the relationship between sea ice decline and marine ecosystem changes. Dr. Sandven's research interests center on understanding how light availability in marine environments affects phytoplankton dynamics and overall ecosystem productivity. His work combines in situ optical measurements with modeling approaches to study seasonal variations in water column optical properties. He investigates how declining sea ice cover alters light penetration in Arctic waters, with implications for marine primary production and biogeochemical cycles. His research also addresses challenges in optical measurement techniques for estimating plankton concentrations and other microscopic particles in complex marine environments. His publication record demonstrates consistent productivity with a focus on Arctic ocean optics, showing clear trends toward increasingly sophisticated measurement techniques and modeling approaches. Recent work integrates machine learning methods for correcting instrument errors and analyzing long-term trends in light availability driven by climate change. Dr. Sandven participates in multiple significant research initiatives funded by the Research Council of Norway (projects 309612, 276730, 303190, 337245) and European Commission programs (H2020 grants 101034309, 101003826). He contributes to projects including 'Enhanced Ocean Color Remote Sensing of Optically Complex Waters,' 'SFI Smart Ocean,' and 'The Nansen Legacy,' which involve extensive field work in Arctic regions using research vessels like KV Svalbard. His research is conducted within UiB's optics and atomic physics research group, where he collaborates with experts in marine optics, remote sensing, and Arctic climate systems. This work contributes to international efforts to understand and model changing Arctic marine ecosystems in the context of rapid climate change.
Malte Runge serves as Associate Professor of Organizational Psychology at Oslo Business School, Oslo Metropolitan University. His academic appointment resides within the Organisation and Management department under the Faculty of Social Sciences. Based at Pilestredet 35, 0166 Oslo (Office PE636), he maintains active research and teaching responsibilities in organizational behavior and individual differences. Runge's research spans organizational psychology with emphasis on motivational processes, personality assessment, and methodological innovations. His work integrates implicit motive assessment, dynamic individual differences, and multilevel organizational analysis. Current investigations examine transgenerational motivation transmission, agile workplace behaviors, and computational approaches to psychological measurement. His publication portfolio demonstrates consistent output in premier journals including Journal of Personality and Social Psychology , European Journal of Personality , and Organizational Research Methods . Recent articles reveal growing focus on computational psychology methods and intergenerational motivational dynamics. Professional recognition includes the Best Adhoc Reviewer award from the Journal of Applied Psychology (2020) . He contributes to scholarly discourse as Editorial Board member for Journal of Business and Psychology and Journal of Personnel Psychology . Runge actively disseminates research through academic conferences including SIOP and Work and Family Researchers Network. His public engagement includes media contributions to Dagens Næringsliv and Ledernytt on personality testing applications in workplace settings.
Associate Professor at Oslo Metropolitan University's Faculty of Social Sciences, Department of Social Work, Child Welfare and Social Policy. Holds a doctorate in sociology with specialization in social policy. Permanent invited lecturer at ELTE University (Budapest) and Institute of Social Work (Dar es Salaam). Actively engaged in international collaboration between Global North and South institutions. Research focuses on social inclusion of marginalized groups , particularly through supported employment (SE) and individual placement and support (IPS) frameworks. Additional expertise in gender policy, women's leadership, organizational culture, and digital transformation of welfare services. Current leadership in WORKINC project examining work inclusion across urban contexts. Recent publications reveal strong emphasis on digitalization challenges in social work practice, analyzing impacts on professional decision-making, service accessibility, and organizational culture. Research combines critical analysis of welfare state sustainability with practical implementation studies across European and African contexts. Key projects include SOLIDEM (examining trust in welfare states) and UKRINT (labor market integration of Ukrainian refugees). International engagement spans East and South African academic institutions with focus on comparative welfare models. Research methodology integrates mixed-methods approaches including discourse analysis, qualitative fieldwork, and cross-national comparisons to address contemporary welfare challenges.
