Benjamin Donald Anible is an Associate Professor affiliated with the Department of Language, Literature, Mathematics and Interpreting at the University of Western Norway, and the Department of Language and Literature at the Norwegian University of Science and Technology (NTNU). His work bridges sign language linguistics, multilingualism, and interpreting studies. Research Interests: Sign language morphology, multilingualism in Deaf communities, neurocognitive aspects of sign processing, and translation dynamics. His studies explore how sign languages integrate descriptive forms and depict actions, with implications for inclusion and communication. Projects: Principal investigator in the DEPICT project (Signed Language Depiction as an Engine for Promoting Inclusion, Communication, and Translation), focusing on sign language depiction's societal impact. Collaborated on language ecology studies in the Norwegian Deaf community. Publications: Active in cognitive linguistics, neuroscience, and linguistic innovation, with recent contributions on constructed action recognition (2025), sign-writing contact (2025), and depicting signs (2024). His work spans theoretical and applied domains.
Geir Conrad Tufte is an Associate Professor at the Norwegian University of Applied Sciences (HiOA), based in Halden. He is affiliated with the Department of Economics, Innovation and Society. His research focuses on welfare models, public health, local democracy, housing policy, and regional development. Tufte has extensive experience in political science education (1992–2015) and prior roles in municipal administration (Moss and Bodø municipalities) and Husbanken (Norwegian Housing Bank). His work emphasizes cross-national comparisons, particularly in housing policy for refugees, elderly care ethics in Baltic-Nordic contexts, and historical analysis of regional development policies in Norway. He collaborates with institutions like Hebei Geo University (China) and Miguel Hernández University (Spain). Key publications include analyses of Norwegian state-driven regional policies, comparative studies on social housing, and reviews of bureaucratic governance models in local administration. Current research explores intangible capital in housing markets and the socio-economic impacts of active state intervention. Education Background: Political science teaching career at HiOA spanning 23 years (1992–2015), building expertise in public policy education. Earlier roles in municipal governance provided practical insights into local democracy mechanisms. Research Trends: Articles consistently address housing policy innovation, regional development disparities, and welfare system effectiveness. Recent work highlights Norway’s historical regional development strategies and cross-border refugee housing solutions. Professional Activities: Engages in policy commentary for local media (e.g., Moss Avis), public lectures on governance models, and collaborative research projects with international partners focusing on health equity and urban development challenges.
Rebekah Alice Oomen is a marine evolutionary ecologist at the University of Agder , affiliated with the Centre for Coastal Research and Centre for Artificial Intelligence Research . She also holds a position at the Centre for Ecological and Evolutionary Synthesis at the University of Oslo. Her research integrates genomic , experimental , and eco-evolutionary approaches to study how species adapt to environmental change across spatial and temporal scales. Specializes in environmental adaptation , plastic responses , and genomic forecasting Expert in machine learning , network analyses , and adaptive modeling for complex systems Co-leads the TORSKETROMMING (COD DRUMMING) project combining science and art Founding member of the European Reference Genome Atlas (ERGA) and adviser for Earth Biogenome Project Norway Her recent publications focus on genomic reaction norms , environmental plasticity , and interdisciplinary conservation genomics . She has received scientific recognition as a James S. McDonnell Foundation Fellow and serves on the Editorial Board of Scientific Data . Her work bridges natural sciences with artistic and social scientific practices, including sound installations and educational outreach programs.
Assistant Professor in the Faculty of Engineering and Science at University of Agder, Norway. Active researcher in machine learning, smart grids, and wireless communication systems with specific focus on energy applications and IoT technologies. Current institution: University of Agder Email: surender.redhu@uia.no Research Interests: Specializes in applying advanced machine learning techniques to energy systems and IoT networks. Works on electricity price forecasting models, smart home energy optimization with cognitive data fusion, and wireless sensor management in constrained environments. Recent Article Trends: 15 publications from 2021-2023 show consistent focus on temporal-spatial neural networks for energy prediction, UAV-based IoT powering strategies, and biomedical signal interpretation with deep learning systems.
Hans Julius Skaug is a Professor in the Department of Mathematics at the University of Bergen (UiB), Norway, with a distinguished career spanning several decades focused on statistical methodology and its applications to biological and ecological problems. Dr. Skaug's research expertise encompasses several interconnected domains: Biostatistics, particularly applications of statistics and probability to marine ecology Computational statistics, with pioneering work on Automatic Differentiation and Laplace approximation for complex model fitting Artificial Intelligence, where he has recently focused on variational autoencoders and diffusion models Development of innovative methods for line transect surveys and close-kin mark recapture (CKMR) His publication record shows a clear progression from foundational statistical methodology to increasingly sophisticated applications. The 2016 paper with Bravington and Anderson on 'Close-kin mark-recapture' in Statistical Science established him as a leader in population estimation methods. Recent publications (2023-2025) demonstrate continued innovation in refining CKMR techniques, applying TMB to diverse fields like insurance claims analysis, exploring sparse Bayesian learning, and addressing measurement errors in marine mammal surveys. His work consistently bridges theoretical statistical development with practical applications to real-world conservation and management problems. Dr. Skaug served as co-Editor in chief of the Scandinavian Journal of Statistics from 2018 to 2021, demonstrating his significant standing in the international statistical community. He teaches STAT110 Basic course in statistics at UiB during both spring and fall semesters and has conducted specialized workshops on CKMR and TMB at institutions including Dalhousie University in Halifax and the Institute of Marine Research in Bergen. He is actively involved in software development for statistical modeling through the TMB project (https://github.com/kaskr/adcomp) and ADMB (http://admb-project.org/), which implement his theoretical work on combining Automatic Differentiation with statistical modeling. His current research trajectory shows increasing integration of AI techniques with traditional statistical approaches, reflecting his observation that backpropagation in deep learning is fundamentally the same computational technique as Automatic Differentiation, which he has worked with for over 20 years.
Jørgen Afseth Sugar is an Associate Professor at the Faculty of Medicine , University of Oslo, specializing in Neuroscience and Neurophysiology . His research focuses on understanding the neural mechanisms underlying episodic memory formation and retrieval in humans, utilizing clinical epilepsy patient data through intracranial recordings. Education: Medicine (NTNU), PhD in Neuroanatomy (NTNU), Postdoc in Neurophysiology (NTNU) Current projects: Brainsight , Memory maps , Neurophysiological Mechanisms of Human Auditory Predictions (AudioPred) His work bridges Neuro-Surgery and Neurocell Signaling , emphasizing neuronal network oscillations in memory processes. Collaborations include FRONT neurolab, RITMO, and the Voytek lab. Publication trends reveal a focus on hippocampal connectivity , retrosplenial cortex interactions , and temporal coding across rodent models and human studies.
Mohamed Amedjkouh is a Professor in the Department of Chemistry at the University of Oslo, specializing in catalysis and organic chemistry with research emphases on energy applications, sustainable materials and nanotechnology (SMN), and metal-organic frameworks. His work bridges fundamental chemical principles with practical energy solutions through innovative catalytic systems. His research focuses on metal-organic frameworks (particularly UiO series), autocatalytic reactions including the Soai reaction, and asymmetric synthesis methodologies. Key investigations include spatial control of copper coordination motifs in MOFs, symmetry breaking in confined catalytic environments, cyclometalated ruthenium complexes for light absorption, and chiral amplification mechanisms. This work integrates experimental and computational approaches to advance sustainable chemistry and energy conversion technologies. Analysis of his 2015-2024 publications reveals consistent innovation in MOF-based catalysis, with recurring themes of chiral amplification, heterogeneous reaction systems, and coordination chemistry. His research demonstrates how confinement within UiO-MOFs enables control over autocatalytic processes and copper/ruthenium complex reactivity, offering pathways for energy-efficient chemical synthesis and stereoselective transformations. Professor Amedjkouh leads the Catalysis and Organic Chemistry research group at the University of Oslo, driving experimental and theoretical investigations into next-generation catalytic materials for energy and sustainability challenges. The group maintains active collaboration networks evidenced by frequent multi-institutional publications.
Marte Sodeland is an Associate Professor at the University of Agder's Department of Natural Sciences, specializing in evolutionary genomics and biodiversity research. Her work focuses on how human and ecological factors drive genomic evolution in wild and domesticated species, with a particular emphasis on genome architecture as a driver in evolutionary processes. Education: Master's at NTNU, PhD at CIGENE (NMBU) in 2010. Postdoctoral: CIGENE/NMBU, IMR Flødevigen, and CCR (UiA). Current Roles: Researcher and advisor at Centre for Coastal Research (UiA/IMR/NIVA), since 2019 Assistant Chair of CCR, and leads outreach project 'Skagerrak Science and Solutions Sail.' Her research spans marine species like Atlantic cod and sea trout, agricultural species like Norwegian Red cattle, and conservation genomics. She develops molecular methods for biodiversity characterization and has contributed to understanding chromosomal rearrangements in cod ecotypes. Recent publications focus on genetic monitoring of marine species, conservation strategies, and genomic divergence mechanisms. Her work integrates population genomics with ecological modeling, particularly in the Skagerrak region, and addresses the limitations of conservation frameworks like the IUCN Red List in accounting for intraspecific diversity. Collaborative projects include studies on blue mussel connectivity, cod supergene stability, and milk production genetics.
Vivian Kjelland is an Associate Professor in the Department of Natural Sciences at the University of Agder, Norway. Her academic career is focused on molecular biology, gene technology, and the study of ticks and tick-borne pathogens affecting both humans and animals. She maintains an active research program while teaching various courses related to human physiology, anatomy, and scientific communication. Dr. Kjelland holds a Ph.D. in molecular biology and gene technology from the Norwegian School of Veterinary Science, along with a Cand. Scient. degree in the same field from the Norwegian University of Life Sciences. She has also completed educational theory and practice (PPU) training from the Norwegian University of Life Sciences and university pedagogy (UniPed) from the University of Agder, demonstrating her commitment to both research and teaching excellence. Her research interests span molecular biology, gene technology, and the epidemiology of tick-borne diseases, with particular focus on Borrelia burgdorferi, Anaplasma phagocytophilum, and Tick-Borne Encephalitis virus. She has made significant contributions to understanding the distribution of Ixodes ricinus ticks in Scandinavia, pathogen prevalence in ticks, and the implications for human and animal health. Her work often involves collaborative research across Scandinavian institutions, utilizing geospatial analysis, molecular diagnostics, and epidemiological approaches. Analysis of Dr. Kjelland's publication history reveals a strong focus on tick-borne pathogens and their ecological distribution across Scandinavia. Her research has evolved from basic identification of pathogens in ticks to increasingly sophisticated spatial modeling of tick abundance and human exposure risk, incorporating environmental and climatic factors. She has made important contributions to understanding the northern limits of tick species distribution and the co-infection patterns of multiple pathogens within individual ticks. Dr. Kjelland is actively involved in teaching, currently instructing courses in Human Physiology and Anatomy, Scientific Writing, and supervising Bachelor's theses in Biology and Biomedical Laboratory Science. Her commitment to education is further evidenced by her book 'Studer smartere - studieteknikker som faktisk virker!' (Study Smarter - Study Techniques That Actually Work!), which demonstrates her interest in effective learning methods. Her research group affiliations include Biomedicine, Natural Sciences Education, and Tick Research, reflecting the interdisciplinary nature of her work that bridges basic science, medical applications, and educational practice.
Lars Mørch Korslund is an Associate Professor in the Department of Natural Sciences at the University of Agder, Norway. With a Ph.D. in ecology from the University of Oslo (2006), he has been actively contributing to ecological research and education since joining UiA in 2009. His work focuses on understanding ecological processes in seasonal environments and host-parasite dynamics, with significant contributions to tick ecology and wildlife conservation. Dr. Korslund holds: M.Sc. in Biology from the University of Oslo Ph.D. in Ecology from the University of Oslo (2006) Postgraduate teacher training certificate from the University of Oslo His primary research interests span several critical areas in modern ecology: Seasonal Ecosystem Dynamics - Investigating how short-term weather variations and long-term climate changes affect populations in highly seasonal environments Parasite-Host Interactions - Studying the complex relationships between ticks, small mammals, and disease transmission Wildlife Conservation - Focusing on endangered species like the European pool frog and developing methods for biodiversity monitoring Urban Ecology - Examining how species like hedgehogs adapt to urban environments Analysis of Dr. Korslund's recent publications reveals a strong focus on tick ecology and zoonotic diseases , with significant work on the distribution and behavior of Ixodes ricinus ticks across Scandinavia. His research increasingly incorporates advanced methodologies including environmental DNA analysis, deep learning for species identification, and spatial modeling to predict disease risk. Much of his work addresses the intersection of climate change, biodiversity conservation, and public health , demonstrating how ecological research can inform practical conservation and disease prevention strategies. Dr. Korslund actively contributes to academic education through teaching courses including: BIO113 - Evolutionary Biology BIO300 - Bachelor's Thesis in Biology BIO112 - Introduction to Biology MA143 - Biostatistics Nat114 - Science 1A common subject Nat108 - Science 2
Nils Henrik Halberg is a Professor and NCMM Young Associate Investigator at the Department of Biomedicine, University of Bergen. His research focuses on the mechanistic links between obesity and cancer, particularly in breast and pancreatic cancers. Education: Graduate Studies: University of Copenhagen (completed 2009) Postdoctoral Training: UT Southwestern Medical Center (Dr. Philipp Scherer), Rockefeller University (Dr. Sohail Tavazoie) Halberg's research investigates how metabolic alterations in obesity promote cancer development and metastasis. His lab employs in vitro and in vivo cancer models, metabolic analysis, molecular biology, and clinical bioinformatics to study metastatic colonization and tumor microenvironment interactions. Key areas include hypoxia, fibrosis, and epigenetic regulation in obese adipose tissue and their impact on cancer progression. The 15 most recent publications reflect a consistent focus on obesity-cancer interactions, using advanced techniques like spatial transcriptomics, high-dimensional immune profiling, and metabolic pathway analysis. Themes include epigenetic memory of obesity, one-carbon metabolism, KRAS signaling, and immune modulation in cancer. The research spans breast, pancreatic, and lung cancers, emphasizing metabolic reprogramming and tumor-stroma crosstalk. Scientific Awards: No specific awards mentioned in the text. Advising and Grants: Halberg supervises multiple graduate students, as evidenced by numerous master’s theses and doctoral dissertations under his guidance. His lab is actively funded, enabling the operation of a research group conducting systemic studies on cancer metabolism and metastasis. He teaches BMED331 and BMED381 at the University of Bergen. Labs and Teams: He leads the Halberg Group, which is part of the 'Metabolism and Cancer' and 'Cellular Networks' research groups at the Department of Biomedicine. The lab maintains a website and is affiliated with the Centre for Cancer Biomarkers (CCBIO) or similar networks, indicated by the NCMM (Norwegian Centre for Molecular Medicine) Young Associate Investigator title.
Marie Kjærnet Ødegaard is an Associate Professor in Archaeology at the Museum of Archaeology, University of Stavanger (UiS), affiliated with the Department of Antiquities. She earned her PhD from the University of Bergen in 2016 and is currently leading the Norwegian Research Council-funded project Viking beacons – Militarism in northern Europe (BCON), which investigates fire beacon systems and societal responses to war and fear from AD 500 to 1600. University: University of Stavanger School: Museum of Archaeology Department: Department of Antiquities Position: Associate Professor Her research spans the Iron Age and Middle Ages, focusing on legal and military landscapes, settlement patterns, borders, and GIS-based spatial analysis. She has been involved in major projects like 'The Assembly Project (TAP)' and is a national representative for Norway in Ruralia: European Association for Medieval and post-medieval Rural Archaeology. She is also active in research groups such as VARGIS (Viking Age Rogaland in GIS) and Archeology of Proxy at UiO. Marie Ødegaard's recent scholarly output includes a monograph on legal landscapes, edited volumes, and numerous peer-reviewed articles. Her publications reveal a consistent focus on assembly sites (ting), defense systems, seasonal gatherings, and socio-political organization in early Scandinavia. Themes such as territoriality, collective action, state formation, and material culture recur across her work, especially in studies of sites like Dilling and regional analyses of Viken and Rogaland. Her interdisciplinary approach combines archaeology with philology, toponymy, and historical sources. She has received no explicitly mentioned scientific awards in the provided texts, but her leadership of a nationally funded research project and extensive publication record indicate significant scholarly recognition. She advises no named students in the data, though she collaborates widely with researchers across Norway and Europe. Academia: Academia Profile ResearchGate: ResearchGate Profile Twitter: @marie_odegaard She is involved in public outreach and museum exhibitions, including the Dugnad citizen science project mapping Viking-age beacon systems and the Møt forskeren (Meet the Researcher) exhibition. Her work bridges academic research, cultural heritage management, and public engagement, particularly through digital platforms and community-based archaeology initiatives.
Huiwen Gong is Associate Professor of Regional Studies and Innovation at the Business School of the University of Stavanger, Norway. She is affiliated with the Department of Innovation, Leadership and Marketing, where she conducts research and teaches in economic geography, innovation studies, and sustainability transitions. Her research focuses on the geographies of sustainability transitions, Sino-German industrial dynamics, regional foresight, and the geography of innovation, with a particular emphasis on battery value chains in China and Europe. She has conducted extensive field research in the video game, blockchain, and battery industries across China, Germany, and Switzerland. Her current work investigates how corporate and state actors are building battery value chains under geopolitical tensions, with attention to local socio-economic and environmental impacts. The most recent publications highlight trends in technological innovation systems, regional development pathways, sustainability transitions, and energy communities. Her work spans disciplines including economic geography, innovation policy, and environmental studies, with a strong comparative and forward-looking orientation. Scientific Awards: Marie Skłodowska-Curie Individual Fellowship (top 5% of proposals in Social Sciences and Humanities, 2020–2022) She is currently leading a Norwegian Research Council-funded project on Nordic battery value chains (12 million NOK). Her teaching includes courses on the geography of sustainability transitions, innovation studies, economic geography, and the geography of innovation. She has advised interdisciplinary research teams and collaborates widely across Europe and China. Huiwen Gong is actively involved in research on energy communities and regional innovation systems, contributing to theoretical and policy debates on green industrial transformation and sustainable development.
Mohsen Assadi is a Professor at the Department of Energy and Petroleum Engineering, Faculty of Science and Technology, University of Stavanger (UiS), Norway. His work focuses on sustainable energy technologies, particularly micro gas turbines, hydrogen energy systems, geothermal applications, and AI-driven energy modeling. He actively collaborates with researchers across Europe and contributes to the clean energy transition through techno-economic and performance analyses. Research Interests: His research spans key areas in modern energy systems, including micro gas turbines , hydrogen and fuel-flexible combustion , geothermal energy , thermal energy storage , smart grids , and artificial intelligence applications in energy . He emphasizes techno-economic feasibility, decarbonization strategies, and system integration for residential, industrial, and urban environments. The recent publications highlight a strong trend toward AI-enhanced modeling for heating and cooling prediction, optimization of microgrids with hydrogen and renewables, and innovative energy storage solutions such as subsea pumped hydro and wastewater thermal reservoirs. His work bridges engineering fundamentals with real-world sustainability challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While specific students or grants are not listed, Dr. Assadi frequently co-authors with early-career researchers and engineers, suggesting an active mentoring and advisory role in research projects. His publications appear in high-impact journals and conferences in energy and engineering, indicating sustained research funding and collaborative project involvement. Labs and Teams: Though not explicitly named, his research output suggests involvement in energy systems labs focused on microturbines, geothermal applications, and AI-based energy modeling at the University of Stavanger. He collaborates with interdisciplinary teams across thermodynamics, fluid mechanics, and sustainable urban infrastructure.
Ann Cathrin Corrales-Øverlid is a Research Fellow at the Department of Social Anthropology, University of Bergen. Her postdoctoral project, part of the PrecaNord initiative , examines precarious labor in Norway’s construction, cleaning, and gig economy sectors. Her PhD research focused on Peruvian immigrant women’s culinary entrepreneurship in Southern California, exploring how they negotiate gender, home, and belonging through spatial practices and entrepreneurial ventures. Education: She holds a PhD in Social Anthropology (2021) and a Master’s in Development Studies (2009), both from the University of Bergen. Her work integrates intersectionality, migrant entrepreneurship theory, and sensory ethnography. Research interests include transnational migration, labor precarity, gendered economic practices, and the role of food in cultural identity. She has taught courses on Latin American studies, gender analysis in global development, and socio-cultural diversity. Recent publications analyze immigrant entrepreneurship, Nordic welfare challenges, and Peruvian diasporic cultural production. Collaborations: Principal researcher in PrecaNord (2022–2026), funded by the Future Challenges in the Nordics program. Affiliated with the Research Group Latin America: Language, Literature, and Culture, and the Foundational Questions in Gender and Sexuality Research. Teaching spans multiple departments: Department of Foreign Languages (Spanish/Latin American Studies), Health Promotion and Development (gender policy), and Social Anthropology (supervision). Guest lectures include topics on intersectionality and ethnic entrepreneurship at USC and Western Norway University of Applied Sciences.
