Antonio Fábregas (b. 1978) is a Professor at the Department of Language and Literature, Norwegian University of Science and Technology (NTNU), specializing in Spanish grammar, variation, morphosyntax, comparative linguistics, and semantics. He has authored 8 monographs and over 150 articles/book chapters. Research : Focuses on syntax, semantics, phonology, and their interactions in word formation. Explores Spanish language variation, sociolinguistic contact phenomena, and theoretical morphology. Teaching : Engaged in linguistics education at NTNU (office: Bygg 4 Dragvoll, Trondheim). Publications : Recent work includes analyses of Spanish prefixation, argument structure, elative compounds, and negation-participle constructions. Key contributions to morphological theory and Romance language comparison.
Jaakko Timo Henrik Järvi is a Professor in the Department of Informatics at the University of Bergen, Norway, with additional affiliations at the University of Turku, Finland. His research focuses on programming language design, generic programming, and human-computer interaction, particularly in GUI frameworks and software reuse. His research interests include generic programming, programming language design (especially the Magnolia language), high-performance computing, array programming, and GUI engineering. He emphasizes formal methods and algebraic specifications to build reusable and efficient software systems. His work bridges theoretical foundations with practical applications in software development and education. The recent publications highlight a strong trend in declarative GUI frameworks, multi-selection models, and generic programming. His work explores domain-specific languages for GUI structure manipulation, reusable selection semantics across platforms, and optimizing array computations using the Mathematics of Arrays. These efforts reflect a consistent focus on software abstraction, correctness, and reusability. Jaakko Järvi has supervised doctoral students, including Tetiana Yarygina, whose dissertation explored microservice security. While no specific grants are detailed, his work on VisAST was supported by the Research Council of Norway (Project 250683), indicating active external funding. He frequently collaborates with researchers like Magne Haveraaen, Knut Anders Stokke, and Sean Parent. He contributes to tools and frameworks such as the MultiselectJS library and the VisAST educational tool. These are outcomes of collaborative research teams focused on improving software development practices and computer science education.
Sølve Selstø is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design, Oslo Metropolitan University. He specializes in theoretical physics and quantum mechanics, teaching mathematics and physics to engineering students. Research interests include quantum computing, photoionization dynamics, relativistic quantum physics, and non-Hermitian quantum systems. His work focuses on quantum particle behavior under light interaction and computational approaches to quantum education. Recent publications address relativistic effects in photoionization, computational quantum physics, and educational frameworks for quantum computing students. Research groups include ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) and Mathematical Modelling . Outreach involves public communication on quantum computing, quantum physics, and AI through media appearances and lectures.
Professor Odd Jarl Borch is a prominent academic at Nord University specializing in emergency preparedness, crisis management, and Arctic security. His work bridges theoretical research with practical implementation through international collaborations and policy contributions. Education: Harstad Gymnasium Norwegian School of Economics Umeå University, Sweden Indiana University, USA Bodin Maritime College Professor Borch's research focuses on emergency preparedness systems in high-complexity environments, particularly in the Arctic region. His work examines civil-military cooperation, hybrid threats, and organizational management during crises. He has pioneered research on maritime safety in polar regions and developed frameworks for cross-border emergency response coordination. His approach integrates theoretical organizational models with practical crisis management applications, emphasizing the unique challenges of Arctic operations. His recent publications (2020-2024) reveal a strong trajectory toward hybrid threat analysis and collaborative security frameworks. The research consistently addresses Arctic-specific challenges while developing universally applicable emergency response models. Key themes include virtual network intelligence, civil-military coordination mechanisms, and structural adaptations for high-complexity environments. His work demonstrates increasing emphasis on digital transformation in emergency management and the evolving nature of security threats in polar regions. Professor Borch leads significant research initiatives including the NORDLAB Center for Emergency Preparedness and Cooperation and coordinates a network of 25 European researchers on civil-military preparedness. He has initiated major international collaborations such as the Arctic Safety and Security network with 22 universities and the ARCSAR innovation network. His practical impact extends to public service through membership on the Corona Commission, the Total Emergency Preparedness Commission, and the cruise industry safety investigation committee. He has supervised numerous bachelor's, master's, and PhD students in organization and management subjects related to security and crisis management. His teaching portfolio includes fisheries economics, vessel operations, financial management, and crisis management. Professor Borch's laboratory work centers on the NORDLAB emergency management facility, which conducts advanced simulation training for Arctic emergency response professionals.
Astrid Gramstad is an Associate Professor at the Department of Health and Care Sciences, UiT The Arctic University of Norway, where she also serves as Vice Dean of Education. Her research focuses on occupational therapy in primary health care , rehabilitation practices , and learning environments in higher education . She supervises PhD students Morten Nikolaisen (main), Anniken Bogstrand, and Lina Forslund (co-supervision). University: UiT The Arctic University of Norway Department: Department of Health and Care Sciences Email: astrid.gramstad@uit.no Her recent publications examine topics such as study approaches in occupational therapy education , person-centered rehabilitation , and barriers in post-stroke care . She is affiliated with the Centre for Care Research North and leads the RehabLos project, focusing on co-innovation in rehabilitation service design. Key research areas include: Occupational therapy in primary health care Learning environment dynamics in health professions Rehabilitation models for acquired brain injury
Debarun Sarkar is a Research Fellow affiliated with the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen. He works on the ALGOFOLK project, examining sociotechnical systems and material-semiotic configurations. His research spans digital culture, AI ethics, urban studies, and cultural studies, with a focus on India and the Global South. Research Interests: Debarun focuses on the intersections between algorithms and folklore, exploring how digital technologies shape labor, creativity, and social structures. He critically analyzes blockchain adoption in India, AI auditing frameworks, and the sociopolitical implications of smart/green city initiatives. His cultural studies work includes examining heavy metal subcultures and hip-hop’s role in capitalist realism. Projects: He was co-PI for Audit4SG (2023), funded by the Notre Dame-IBM Technology Ethics Lab, and contributed to a Learning Analytics in Higher Education project (2022-24). Current work involves the ALGOFOLK project (Research Council of Norway and Trond Mohn Foundation funding). Education: PhD in Sociology from the University of Mumbai, where he served as a UGC Junior/Senior Research Fellow. His doctoral work engaged with urban scale debates in New Town, West Bengal.
**Daniel Romero** is a **Professor** in the **Department of Information and Communication Technology** at the **University of Agder**, Norway. His research focuses on UAV communications, time-series analysis using machine learning and network science, and decentralized processing for sensor networks. He holds a Ph.D. in Signal Theory and Communications from the University of Vigo (2015), an M.Sc. in Signal Theory (2011), and a Telecommunication Engineering degree (2009). **Education**: Ph.D. in Signal Theory and Communications, University of Vigo (2015) M.Sc. in Signal Theory and Communications, University of Vigo (2011) Telecommunication Engineering, University of Vigo (2009) **Research Interests**: His work spans UAV communication systems (focusing on low-latency, high-reliability networks), time-series analysis for complex systems (using ML and network science), and decentralized computation in sensor networks to improve robustness and hardware efficiency. Recent projects include radio map estimation for mmWave beam alignment, spoofing detection via graph neural networks, and aerial base station placement optimization. **Publications**: Over 30+ peer-reviewed articles in top venues like IEEE Transactions on Wireless Communications and ICC. Recent trends emphasize radio map estimation (2023–2024), UAV-enabled spectrum surveying (2022), and robust D2D communications (2022). **Advising & Grants**: Teaches PhD courses (Statistical Signal Processing, Advanced Optimization) and leads the **Advanced Signal Processing Lab (ASL)**. Collaborates with the **CIEM (Center for Integrated Emergency Management)** on crisis-related communication systems. **Labs/Teams**: Directs the Advanced Signal Processing Lab (ASL.uia.no) and contributes to CIEM, applying ML and signal processing to emergency management challenges.
Stefano Nichele is a Professor at the Department of Computer Science and Communication, Østfold University College, Norway. He holds additional roles as Professor II at OsloMet and has served in leading academic positions since 2014. His research focuses on Artificial Life (ALife), Neuro-Inspired AI, and Machine Learning, with a particular emphasis on cellular automata, reservoir computing, and neuro-inspired substrates. Nichele co-directs the Østfold AI (ØAI) hub and is an active member of IEEE, ELLIS, and the Norwegian AI Research Consortium (NORA). He earned his PhD in Computer Science from NTNU (2015) and completed his MSc at the University of Insubria, Italy. His work bridges computational systems and biological substrates, exploring criticality in neural networks and quantum-evolutionary algorithm interactions. He has received prestigious awards, including the Young Research Talent grant (2019) and the Distinguished Early-Career Investigator award (2024). Nichele’s research spans theoretical and applied domains, with over 50 publications on cellular automata dynamics, neuro-inspired robotics, and AI ethics. His recent projects include studying in vitro neural networks for computational capacity assessment and developing frameworks for body-brain co-evolution in soft robotics. Education: PhD in Computer Science, NTNU (2015) MSc in Computer Science, University of Insubria (2009) Awards: Young Research Talent grant (2019) Distinguished Early-Career Investigator (2024) Grants & Roles: Co-director of the Østfold AI hub Board member of NORA (Norwegian AI Research Consortium) Labs & Collaborations: Focus on neuro-inspired AI systems and unconventional computing Partnerships with institutions like Simula Metropolitan and the International Society for Artificial Life (ISAL)
Ørjan Grøttem Martinsen is a Professor of Electronics at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo. He also holds a temporary research position at the Medical Technology Business Area of Oslo University Hospital. With over three decades of experience, he has established himself as a leading expert in bioimpedance research and applications. Education: High-voltage engineer degree (1983) Cand. scient. in electronics/measurement technology (1990) Dr. scient. with thesis on skin's electrical properties (1995) Professor Martinsen's research centers on bioimpedance—the passive electrical properties of biological tissues that vary with anatomy and physiology. His work spans diverse applications including medical diagnostics (skin cancer detection), food quality assessment (fresh vs. thawed fish), skin condition monitoring (moisture levels), and stress level evaluation. His research bridges physics, engineering, and medical applications, creating practical diagnostic tools from fundamental electrical principles. He has pioneered methods to characterize tissue properties through impedance measurements, with particular focus on electrodermal activity and skin impedance. His recent publications (2022-2025) demonstrate a strong interdisciplinary approach combining bioimpedance with machine learning, robotics, and advanced signal processing. The work spans from fundamental biophysics (GABA detection, tissue characterization) to practical applications (dental anxiety assessment, ADHD treatment evaluation). Key trends include integration of AI with bioimpedance measurements, development of novel sensor systems, and expansion into new application areas like optogenetics and micro-robotics. Awards and Recognition: IEEE Senior Member (2006) CLABIO Award (2012) Fellow at Institute of Physics (FInstP) (2015) Dr. Honoris Causa, Tallinn University of Technology (2018) UiO Innovation Award (2019) Member of Norwegian Academy of Technical Sciences (2021) Professor Martinsen has served as Editor-in-Chief of the Journal of Electrical Bioimpedance since 2010 and was President of the International Society for Electrical Bioimpedance (2010-2016). His research has attracted significant funding, enabling collaborations across engineering, medical, and biological disciplines. He has supervised numerous students and researchers in the Bioimpedance Group at UiO, fostering a strong research environment that bridges theoretical and applied work. His work is conducted primarily through the Oslo Bioimpedance Group and Sensorama SmartSense research teams, which focus on developing innovative measurement techniques and applications of bioimpedance technology. These groups maintain strong collaborations with medical institutions and industry partners to translate research findings into practical healthcare solutions.
Ingve Simonsen is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU), specializing in surface physics and light scattering phenomena. His research focuses on the theoretical and experimental characterization of randomly rough surfaces, electromagnetic wave interactions, and nanoscale optical phenomena. Affiliated with NTNU's Faculty of Natural Sciences, he maintains an active research program with extensive collaborations across international institutions. His research interests center on surface physics and light scattering , particularly the inversion of scattering data for surface characterization, plasmonics in nanostructures, and statistical properties of rough surfaces. His work bridges theoretical modeling with experimental validation, applying techniques like Mueller matrix ellipsometry and reduced Rayleigh equations to solve complex problems in optical metrology and nanomaterial characterization. Analysis of his recent publications reveals strong emphasis on multi-scale surface topography , polarized light interactions with disordered systems, and nanophotonic applications . His research demonstrates consistent innovation in developing computational frameworks for surface characterization and exploring novel optical phenomena in two-dimensional materials. Professor Simonsen actively mentors students and researchers, evidenced by frequent co-authorship with junior researchers on complex projects. His collaborative approach spans disciplines including condensed matter physics, materials science, and biomedical optics, as seen in his work on graphene-based virus detection sensors.
Laura Alexis Janda is a Professor of Russian Linguistics at the UiT The Arctic University of Norway , where she has worked since 2008. She is a member of the CLEAR research group (Cognitive Linguistics: Empirical Approaches to Russian) and leads the THREAT-DEFUSER project funded by the Norwegian Research Council. Her academic profile spans Cognitive Linguistics , Construction Grammar , and Corpus Linguistics , with a focus on Russian, Slavic, and Sámi languages . Education: PhD in Slavic Linguistics & Certificate in Teaching ESL, UCLA (1984) Visiting Fellowships at Princeton University and UNC Chapel Hill Training in Persian, Czech, and Russian methodologies Research Interests: Janda’s work bridges constructional networks and grammatical profiling in Slavic languages, with emphasis on aspect , case semantics , numeral classifiers , and political discourse analysis . She explores how morphological units like Russian prefixes function as verb classifiers and investigates language change in Sámi and Russian contexts. Publication Trends: Recent articles analyze ChatGPT’s grammatical interpretation , constructicon architecture , and ideological messaging in Putin’s speeches . Her research integrates quantitative methods and FAIR data principles to address both theoretical and pedagogical challenges. Awards & Grants: 2021 Honorary Doctorate (University of Turku, Finland) 2018 Member of the Norwegian Academy of Science and Letters 2017 Open Data Champion (SPARC Europe) 2013-2015 Norwegian Research Council grant for 'Birds & Beasts: Shaping Events in Old Russian' 2007-2011 Norwegian Research Council grant for 'Exploring Emptiness: Russian Verbal Morphology and Cognitive Linguistics' Collaborative Networks: Janda mentors international researchers and collaborates with linguists in Russia, Norway, and the U.S. She co-developed the Russian Constructicon and Construxercise! pedagogical tool, emphasizing interdisciplinary applications of linguistic theory. Labs & Projects: She co-founded the Tromsø Construction Lab , advancing constructicon resources for Russian and Sámi languages. Her THREAT-DEFUSER project examines perceived threats in Russian and Norwegian political discourse.
Ben Callegari is an Associate Professor at Kristiania University's School of Economics, Innovation and Technology. His research focuses on the intersection of economics, innovation, ecological sustainability, and system dynamics. He actively contributes to global research through the Earth4All project (sponsored by the Club of Rome) and the EU-funded WorldTrans project, addressing long-term sustainable development challenges. Research Interests: Innovation theory and organizational dynamics Ecological economics and planetary boundaries System dynamics for sustainable development analysis Climate impact modeling and policy evaluation Post-Schumpeterian economic frameworks Recent Article Trends: His work emphasizes integrated assessment models (e.g., FRIDA v2.1), sustainable population scenarios, and systemic responses to pandemics. Collaborative projects like Earth4All highlight his focus on human wellbeing within ecological constraints. His publications bridge theoretical economics with practical innovation challenges, particularly in digitalization and energy sectors. Contact: Ben.Callegari@kristinia.no
Fedor Fomin is a Professor in the Department of Informatics at the University of Bergen. His research focuses on Theoretical Computer Science, including Graph Algorithms, Parameterized Complexity, Combinatorics, and Combinatorial Games. He is affiliated with the Norwegian Academy of Science and Letters, the Norwegian Academy of Technological Sciences, and the Academia Europaea, and holds fellowships from ACM and EATCS. His work has been recognized with the EATCS Nerode Prize in 2015 and 2017. Dr. Fomin has authored influential books such as Kernelization: Theory of Parameterized Preprocessing and Parameterized Algorithms , which are foundational in the field of algorithm design. His recent publications explore cutting-edge topics in parameterized complexity, graph theory, and distributed computing, with contributions to approximation algorithms, kernelization, and combinatorial optimization. His awards and honors reflect his significant impact on theoretical computer science. Fomin has been awarded an ERC Advanced Grant and has mentored numerous researchers, contributing to the advancement of algorithmic techniques and their applications.
Eirik Keilegavlen is a Researcher at the Department of Mathematics, University of Bergen. His primary research focuses on developing mathematical models, numerical methods, and simulation tools for multiphysics processes in porous media, particularly in geothermal energy, CO 2 storage, and subsurface energy systems. He leads the development of the open-source software PorePy, designed for simulating processes in fractured porous media. His work emphasizes coupled problems involving fluid flow, heat transfer, and mechanical deformation. Key research interests include: Mathematical modeling of coupled thermal-hydro-mechanical processes Numerical discretization methods for fractured media Development of open-source simulation tools Applications in geothermal energy extraction and carbon sequestration Recent publications highlight advancements in: Uncertainty quantification for CO 2 leakage Viscous fingering in fractured reservoirs Automated solver selection for multiphysics systems Collaborations involve interdisciplinary teams addressing challenges in geothermal reservoir stimulation, fault mechanics, and high-performance computing. His work bridges theoretical developments with practical applications in energy and environmental systems.
Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.
