Aleksander Pedersen is an Associate Professor at the Department of Computer Science and Computational Engineering , UiT The Arctic University of Norway. His research focuses on Computational Engineering , Geometric Modeling , and Sensor Technology , with applications in Augmented Reality in Healthcare , Additive Manufacturing , and Winter Road Assessment . Fields of Interest Computational Engineering Geometric Modeling Sensor Technology Augmented Reality in Healthcare Additive Manufacturing Simulation-based Education Pedersen's recent work includes 2024 studies on AR projections for medical simulations and optimization in additive manufacturing , while earlier studies (2020–2015) explore spline-based modeling , sensor fusion for winter roads , and subsurface visualization . He collaborates with researchers like Tanita Fossli Brustad, Rune Dalmo, and Børre Bang, and is affiliated with the Simuleringer research group at UiT. His contact email is aleksander.pedersen@uit.no .
Oddrun Anita Gudbrandsen is a Professor at the University of Bergen , affiliated with Clinical Institute 1. Her research focuses on nutritional biochemistry, metabolic syndrome, and health effects of marine-derived proteins and fatty acids. Key Research Areas: Omega-3 fatty acid metabolism, dietary interventions for obesity-related disorders, protein hydrolysates in cardiovascular health, and PPAR ligand interactions with mitochondrial function. Publications: Over 200 peer-reviewed articles since 1996, with recent trends examining fish protein impacts on cholesterol regulation, blood pressure, and gut microbiota. Supervision: Mentored numerous students including Lina Haug (2014), Ida Ulrikke Karlsen (2014), and Simon N Dankel (2017) in topics spanning cod protein effects, metabolic health, and dietary interventions. Technical Contributions: Developer of R-based adipose tissue segmentation tools and advocate for improved duodenal enzyme analysis automation. Her work bridges basic science and clinical applications, with systematic reviews on fish oil impacts and popular science outreach in Bergen's Newspaper. Current projects focus on sustainable marine protein utilization and metabolic disease prevention.
Associate Professor Patrick Stünkel is affiliated with the Western Norway University of Applied Sciences (HVL) within the Department of Computer Science, Electrical Engineering and Mathematical Sciences. He has taught courses such as ING301: Computer Science and Advanced Programming for Engineers (Spring 2026). His research focuses on Computer Science , particularly in Software Engineering , Formal Methods , and Multi-Modeling . Key Research Areas Control Flow Analysis for BPMN Models Runtime Verification of Timed Petri Nets Behavioral Consistency in Multi-Modeling Process Data Science in Digital Pathology Comprehensive Systems for Multi-Model Consistency Publications Trends 2024 works emphasize BPMN validation , visual debugging tools , and timed Petri net verification . 2023-2022 research explores pathology workflow optimization and multi-model consistency frameworks . Earlier works (2017-2020) address graph rewriting , model repair , and database refactoring tools .
Dirk Sliwka is a Professor of Management at the University of Cologne, Faculty of Management, Economics, and Social Sciences, within the Corporate Development department. He serves as a senior research fellow at the Max Planck Institute for Research on Collective Goods, a research fellow at IZA and CESifo, and is a member of C-SEB and ECONtribute. Sliwka is also an Executive Board Member of his institution and was recently recognized as one of the 40 leading HR minds for 2025 by HR magazine. His research focuses on designing effective Human Resource Management practices within firms, with particular emphasis on incentive structures and performance management processes, as well as the role of social norms in organizations. Sliwka specializes in conducting field experiments within organizations to evaluate the impact of HR practices on behavior, performance, and well-being. His work spans organizational economics, personnel economics, behavioral economics, and management accounting. Analysis of his recent publications reveals a consistent focus on the effectiveness of incentive systems, particularly examining how bonus structures can sometimes produce counterproductive outcomes. His research demonstrates sophisticated methodological approaches using field experiments in real organizational settings, contributing significantly to our understanding of how performance evaluations, compensation systems, and social dynamics interact in workplace environments. His work has been published in top-tier journals including Management Science, Journal of Labor Economics, and Journal of Economic Behavior & Organization. 40 leading HR minds 2025 award from HR magazine Recognized as one of Germany's most influential economists in the FAZ Economics Ranking 2017 Editorial positions at Management Science journal Sliwka has conducted numerous field experiments in collaboration with organizations across various sectors, including retail chains, financial services, and public institutions. His research has been widely cited in both academic literature and major media outlets including The Economist, Wall Street Journal, Handelsblatt, and Frankfurter Allgemeine Zeitung. His work on bonus systems, performance evaluations, and workplace motivation has influenced HR practices and organizational design globally.
Julien Martin Marie Vollering is a Postdoctoral Fellow in the Department of Civil Engineering and Environmental Sciences at Western Norway University of Applied Sciences (HVL). His current research focuses on carbon stock measurements in Norwegian peatlands and peat depth mapping methods through the Repeat project. His educational background includes a Ph.D. from the University of Oslo Natural History Museum investigating alien conifer species spread (using Sitka spruce in Norway as a case study), with prior studies at Leiden University (Netherlands) and University of California, Berkeley (USA). Dr. Vollering's research spans landscape ecology , invasive species dynamics , and spatial modeling , utilizing advanced techniques in GIS, statistical computing (R), and species distribution modeling. His work integrates field measurements with computational approaches for ecosystem analysis. His recent publications demonstrate a strong trend toward methodological innovation in ecological modeling, particularly in improving spatial prediction accuracy for ecosystem types and species distributions. Key contributions include developing R packages for model selection and addressing bias in background point selection. His current work with the Repeat project represents applied research connecting peatland carbon storage with climate change mitigation strategies, extending his expertise in spatial ecology to critical environmental monitoring.
Michael Grothe-Hammer is a Professor in Sociology (Organization and Technology) at the Department of Sociology and Political Science (ISS) of the Norwegian University of Science and Technology (NTNU), Trondheim, Norway, a position he has held since September 2024. Previously, he served as an Associate Professor at the same institution from April 2020 to September 2024. He is also the Head of the "Organization & Society" Research Group at NTNU and serves as Co-Editor in Chief of the Journal of Organizational Sociology. His educational background includes a Doctorate in Sociology (Dr. rer. pol.) from Helmut Schmidt University Hamburg (2015-2018), an M.A. Sociology from Bielefeld University (2009-2013), and a B.A. Sociology from Bielefeld University (2006-2009). Professor Grothe-Hammer's research spans multiple domains within sociological organization studies. His primary interests include Sociological Theory, Organization & Digitalization, Emergencies & Disasters, New Forms of Organization, Organization & Societal Differentiation, ASMR & Sociology of Emotions, and Learning Practices in Higher Education. His work often integrates Social Systems Theory with contemporary organizational challenges, developing frameworks like Decisional Organization Theory that bridge classical sociological perspectives with modern organizational phenomena. His research demonstrates how organizational structures interact with societal differentiation processes, particularly in contexts of emergencies, digital transformation, and meta-organizing for grand challenges. His scholarly contributions have been recognized with several prestigious awards including the EGOS Best Paper Award 2016, nomination for the EGOS Best Student Paper Award 2017, and the Outstanding Reviewer Award in the 2024 Emerald Literati Awards. His research on "Membership and contributorship in organizations" was named a Wiley Top Downloaded Article for publications between 2019-2020, reflecting its significant impact in the field. EGOS Best Paper Award 2016 (with Jörg Sydow, Olivier Berthod, and Ryan Hagen) Nominated for EGOS Best Student Paper Award 2017 Performance bonus from Helmut Schmidt University for "outstanding, exceptional performance" (2017 & 2018) Finalist at Most Inspirational Paper Awards 2024 (European Academy of Management) Winner of Outstanding Reviewer Award 2024 (Emerald Literati Awards) Wiley Top Downloaded Article (2019-2020) Professor Grothe-Hammer has supervised numerous Master's and Bachelor's theses on diverse topics including organizational challenges in rural cultural events, AI collaboration in software development, knowledge production in marine governance, climate perceptions among young adults, workplace harassment, and dating app practices. His editorial leadership extends to multiple high-impact journals, where he has served as Co-Editor in Chief of the Journal of Organizational Sociology since 2022, Managing Board Member of PCI Organization Studies since 2023, and Editorial Advisory Board Member of the Journal of Organizational Ethnography since 2023. He also serves as President of the Research Committee "Sociology of Organizations" of the International Sociological Association. He leads multiple research projects including "Meta-organizing grand challenges: the case of ocean governance," which studies how meta-organizations tackle so-called "grand challenges"; "FIRE 21," which aims to understand and improve problem-solving in fire services; and "EUSEAS," which examines European Union maritime sustainability. His work demonstrates a strong commitment to addressing contemporary societal challenges through rigorous sociological analysis of organizational phenomena, particularly focusing on how organizations navigate complexity, uncertainty, and societal differentiation.
Ilias Pappas is a Full Professor at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), and also holds a professorship at the Department of Information Systems, University of Agder (UiA). His research spans data science, digital transformation, human-centered AI, user experience, digital marketing, and e-services, with a methodological focus on fuzzy-set Qualitative Comparative Analysis (fsQCA). His work emphasizes practical applications in public services, organizational innovation, and responsible AI deployment. Recent projects explore human-AI collaboration in welfare systems, algorithmic fairness, and employee-driven digital innovation, reflecting his commitment to bridging academic research with real-world impact in both public and private sectors. Pappas has published over 150 articles in top-tier journals including European Journal of Information Systems and Information & Management. Current research trends reveal a strong emphasis on citizen-centric AI design, transparency in public services, and configurational approaches to digital maturity models, often leveraging mixed-methods and fsQCA frameworks. Scientific recognition includes: ERCIM Fellow Marie Skłodowska-Curie Fellow He serves as Associate Editor for International Journal of Information Management and Journal of Business Research, while advising PhD candidates like Leif Erik Opland (2024) and Tumaini Kabudi (2023). Funded by Horizon Europe and the Research Council of Norway, his projects focus on human-centered AI, data analytics, and collaborative innovation platforms. As Chair of IFIP Working Group 6.11: Communication Aspects of the E-World, he leads international research on digital ecosystems, complementing his editorial roles and conference track chair positions at ECIS and AMCIS.
Aditya Suneel Sole is an Associate Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU) , Faculty of Information Technology and Electrical Engineering. He serves as a Research Coordinator Project Manager Associate Director of CIE Division 1 Conference Chair Deputy Scientific Coordinator for the MSCA Doctoral Network Aditya holds a Master of Science in Digital Colour Imaging and a PhD in Computer Science . His research focuses on Material Appearance Measurement , 3D Imaging , and Color Science , particularly in Spectral and Geometric Analysis 3D Printing Reflectance Modeling Surface Property Reconstruction Gonio-spectrophotometry Research Grant Coordination His recent publications (2022-2025) emphasize 3D Object Quality Metrics White Core Thickness in Color Reproduction BRDF Estimation Accelerated Aging of Printed Materials Multi-layer Halftoning Entropy Evaluation in Mesh Simplification with applications in Cultural Heritage, Advanced Manufacturing, and Remote Sensing. He teaches IDATG1004/IDATA1004/IDATT1004 - Team-Based Collaboration and actively participates in outreach activities, including presentations at MANER Network Colour Leeds London Imaging Meeting Euspen Conferences
Kourosh Koushan is a Professor in the Faculty of Engineering at the Norwegian University of Science and Technology (NTNU). His research focuses on marine propulsion systems, hydrodynamics, and energy-saving technologies for maritime applications. Research Interests: Marine Propulsion Systems, Hydrodynamics, Computational Fluid Dynamics (CFD) for Ship Design, Underwater Radiated Noise, Air Lubrication Systems, Renewable Energy Integration in Maritime Systems Outreach: Active in international symposia and industry webinars, including contributions to the International Symposium on Marine Propulsors series. Key Research Trends include: numerical-experimental validation of propeller systems, CFD methodology calibration, air lubrication for high-speed crafts, and novel power prediction methods using in-service data. His work bridges theoretical hydrodynamics with practical maritime industry solutions.
Morten Andreas Nome is a Lecturer at the Department of Mathematical Sciences , Norwegian University of Science and Technology (NTNU), under the Faculty of Science and Technology. His academic work bridges mathematical theory and engineering education. His research focuses on trigonometric interpolation and Fourier analysis on lattice grids, with significant contributions to non-aliasing interpolation spaces Lagrange function construction Lebesgue constant analysis comparative studies between lattice and sparse grids fast Fourier transform (FFT) algorithms . The keywords associated with his publications include numerical analysis, Fourier analysis, computational mathematics, and educational research. His work emphasizes mathematics-engineering curriculum integration lattice grid optimization hyperbolic cross approximation interpolation accuracy improvements .
Professor Lizhen Huang is a distinguished academic at the Norwegian University of Science and Technology (NTNU), where she serves as a Professor and Group leader of Civil Engineering and Geomatics within the Department of Manufacturing and Civil Engineering, Faculty of Engineering. She also holds the position of Innovation Leader at the department and is a member of the IV faculty's innovation committee, promoting "research-innovation-education integration". Her research spans multiple critical domains: Sustainable Built environment (buildings and infrastructure) Sustainability assessment (LCA, LCC, SD) Digital twin (BIM-IoT-AI) Circular built environment and DPP Energy demand analysis Professor Huang leads strategic research on the "digital twin for sustainable built environment" with over €5 million secured for projects targeting carbon-neutral futures. Her work integrates digital technologies with sustainability principles across EU and national initiatives, demonstrating consistent innovation in circular economy applications for the built environment. Her scholarly contributions include over 40 high-impact journal publications, with one paper achieving over 820 citations since 2018. Her research trajectory shows increasing focus on integrating BIM, IoT, and AI for sustainable construction solutions. Professor Huang has mentored 10+ PhD students, 5+ post-doctoral researchers, and 2+ faculty members while actively participating in scientific evaluations from PhD defenses to faculty recruitments. Her extensive collaboration network spans European innovation platforms including ECTP-DBE and AIOTI. She currently leads multiple significant projects including Horizon Europe initiatives (SPADE and PRecyling), RCN projects (TRE STEG, CircWOOD, SirkTre), and NTNU sustainability initiatives focused on circular cities and decarbonization pathways.
Basel Katt is a Professor and Head of the Department of Information Security and Communication Technology at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. His leadership spans cybersecurity research and education with emphasis on practical security frameworks and training infrastructure. His research portfolio includes: Security Assurance methodologies Software Security validation Cyber Range development Model-Driven Security approaches Access/Usage Control systems Privacy Protection mechanisms Security Education innovations Analysis of his 2023-2025 publications reveals accelerating integration of AI in security assurance, with growing focus on quantitative evaluation models, IoT security challenges, and cyber range automation. His work increasingly leverages kill chain models for incident response and explores LLM applications for security exercise generation. No scientific awards were documented in the source materials. Student advising relationships and grant funding details were not specified in the provided information. Katt's cyber range research demonstrates through publications like 'Hybrid IoT Cyber Range' and 'Use of cyber attack and defense agents in cyber ranges', establishing him as a contributor to advanced cybersecurity training infrastructure development.
Muhammad Mudassar Yamin is an Associate Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Gjøvik. His research bridges cybersecurity, artificial intelligence, and ethical considerations in digital systems. He collaborates internationally on cyber range technologies, adversarial AI, and multilingual threat detection frameworks. His research interests include: Cybersecurity exercise automation and modeling AI/ML applications for hate speech and fake news detection Security assurance frameworks for cloud services Attack-defense scenario generation using serious games Hybrid IoT cyber range architectures Recent publications analyze CTF scoring algorithms, develop self-supervised hate speech detection models, and explore large language models for cybersecurity scenario generation. His work integrates explainable AI principles with practical security implementations. He teaches: IIK3100 - Ethical Hacking and Penetration Testing TTM4175 - Introduction to Cyber Security and Data Communication
Raul Primicerio is a Professor in the Department of Arctic and Marine Biology at UiT The Arctic University of Norway, Tromsø. His research focuses on climate change impacts on Arctic marine ecosystems, particularly examining borealization processes, food web dynamics, and functional diversity shifts in the Barents Sea region. He maintains an active research profile with numerous high-impact publications spanning marine ecology, climate adaptation, and ecosystem management. His research interests center on climate-driven ecosystem transformations in high-latitude environments. Primicerio investigates how warming temperatures alter marine community composition, with particular emphasis on fish communities, zooplankton dynamics, and trophic interactions. His work integrates field observations with network analysis to understand borealization - the northward shift of temperate species into Arctic habitats. Current projects examine functional diversity metrics as early warning signals for ecosystem regime shifts, spatial food web reorganization due to atlantification, and blue carbon storage in Arctic benthic systems. His research group employs both traditional ecological methods and innovative approaches like noninvasive image-based body size measurements. Analysis of Primicerio's recent publications reveals strong thematic focus on climate change impacts across multiple ecosystem components. His work demonstrates consistent examination of borealization processes in the Barents Sea, with particular attention to how warming affects functional diversity, community composition, and trophic structure. The publications show increasing emphasis on dynamic management approaches that respond to rapid ecosystem changes rather than static conservation frameworks. His research bridges fundamental ecological questions with practical conservation applications, particularly regarding marine protected areas in changing environments. Primicerio actively participates in major research initiatives including the CLEAN project (Cumulative impact of multiple stressors in High North ecosystems), IMPACT (Integrated Monitoring of Parasites in Changing Environments), and ClimeFish. His work frequently involves international collaborations across Arctic research institutions, contributing to comprehensive assessments of ecosystem condition in Norwegian Barents Sea shelf ecosystems. He is a member of the Freshwater Ecology Group at UiT and contributes to working groups on integrated assessments of the Barents Sea.
Daniel Cantero is an Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU). He leads research initiatives in structural health monitoring, bridge dynamics, and vehicle-infrastructure interaction, with significant contributions to concrete bridge analysis and railway infrastructure diagnostics. His work bridges computational modeling with practical engineering solutions. PhD in Bridge Dynamics (University College Dublin, 2010) Postdoctoral Fellowships at Plaxis BV, Trinity College Dublin, and Royal Institute of Technology (KTH) His research focuses on structural health monitoring, bridge dynamics under moving loads, and signal processing for infrastructure diagnostics. Recent work explores federated learning for population-based monitoring, 3D vehicle modeling, and corrosion effects in post-tensioned bridges. Current publications highlight advancements in: Railway bridge condition monitoring using train responses Machine learning for damage assessment Wavelet analysis in soil-structure interaction Finite element tools for vehicle-bridge interaction Probabilistic models for structural diagnostics As course coordinator for TKT4220 - Concrete Structures 2 and instructor in multiple structural engineering courses, he mentors PhD students like Muhammad Zohaib Sarwar. He contributes to NTNU's Concrete Group and participates in international Marie-Curie projects.
