Natural Language Processing in Science Learning Professors and Supervisors in Norway

Pål Halvorsenمشاهده پروفایل

استاد

Oslo Metropolitan UniversityNorway

Pål Halvorsen is a Professor at the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. He works at the intersection of computer science and applied domains, with a particular focus on multimedia systems, distributed computing, and healthcare applications. Specializes in distributed multimedia systems Active in AI-driven forensic psychology applications Conducts research on medical imaging and diagnostics Develops sports analytics datasets and tools Works on communication and distributed systems His research spans several key areas of computer science, particularly focusing on multimedia systems and their applications in healthcare, sports analytics, and forensic psychology. He leads projects involving AI-driven child avatars for investigative interview training, develops datasets for medical and sports applications, and explores innovative approaches to image analysis and time-series data processing. Recent publications demonstrate strong activity in applying computer vision and deep learning to medical diagnostics, particularly in gastrointestinal tract analysis and ophthalmology. His work on sports analytics includes creating comprehensive datasets for ice hockey and soccer, while his forensic psychology research focuses on AI-enhanced interview training for child abuse investigations. Halvorsen collaborates extensively across disciplines, working with researchers in psychology, medicine, and sports science. His projects often involve developing novel tools for data analysis, including approaches to multimodal data handling, visual deep learning verification, and AI-enhanced prompt generation techniques.

پروفایل رسمی دانشگاه

Rahul Kumar Jaiswalمشاهده پروفایل

پژوهشگر ارشد

University of AgderNorway

Rahul Kumar Jaiswal is a Postdoctoral Fellow at the Department of Information and Communication Technology, University of Agder. His research focuses on speech processing, wireless communications, and machine learning applications. Research Interests: Dr. Jaiswal specializes in transfer learning and neural networks for speech enhancement, radio map estimation, and context-aware quality assessment. His work bridges signal processing with wireless network optimization. Publication Trends: His recent studies show expertise in transfer learning for indoor localization, context-aware speech quality metrics, and noise filtering techniques. Collaborations span Norway, India, and international institutions. Contact: Email: rahul.jaiswal@uia.no

پروفایل رسمی دانشگاه

Hernando Hernandez Lassoمشاهده پروفایل

پژوهشگر ارشد

University of AgderNorway

Hernando Hernandez-Lasso is a Ph.D. candidate and Research Fellow affiliated with the University of Agder and Universidad Nacional de Colombia. He works at the Department of Management and Innovation while holding a Senior Econometric Modeller position at Gain Theory and a Research Fellow role at CERSEM. Education: MSc in Economics (Universidad Nacional de Colombia) Research: Combines microeconometrics, machine learning, and mathematical modeling to analyze financial misconduct in developing countries Expertise: Large language models (LLMs), natural language processing (NLP), digital finance Collaborations: Inter-American Development Bank (IADB), USAID His work bridges econometric theory, microeconomics, and data science applications in financial crime detection.

پروفایل رسمی دانشگاه

Toril Eskeland Rangnesمشاهده پروفایل

دانشیار

Østfold University CollegeNorway

Toril Eskeland Rangnes serves as an Associate Professor in Mathematics Education at Østfold University College's Department of Natural Sciences, Practical-Aesthetic, Social and Religious Studies. Her academic work bridges theoretical frameworks with practical classroom applications, focusing on integrating programming and digital tools into mathematics education while addressing multilingual and democratic dimensions of teaching practice. Dr. Rangnes holds a Ph.D. in Mathematics Education from the University of Agder, complemented by a major in Mathematics Education (cand. scient), teacher education with specialization in special education, and completed supervision pedagogy (30 ECTS) for PhD supervision. Her professional journey includes positions as Associate Professor at University of Bergen/Western Norway University of Applied Sciences, University Lecturer at NLA, and primary school teaching experience in Sund municipality. Her research explores programming integration in mathematics education, examining tensions teachers face when implementing computational approaches. She investigates mathematical argumentation through frameworks like Bakhtin's dialogism, analyzing truth, lies, and 'bullshit' in mathematical contexts with special attention to multilingual classrooms. Her work on democratic education in mathematics connects pedagogy with societal values, while her research on mathematical modeling targets elementary education contexts. Current projects include the NFR-funded 'Learning about teaching argumentation for critical mathematics education in multilingual classrooms' (2018-2022) and research on programming's impact on mathematics teaching. As a member of the Didactics in Mathematics, Science and Technology (DiMaNaTe) research group, she contributes to the Digital Society research priority area at Østfold University College. Her scholarly output demonstrates consistent productivity with publications spanning 2023-2025 across international journals and book chapters. She has also served as editor for Tangenten, a journal for mathematics teachers, connecting research with classroom practice.

پروفایل رسمی دانشگاه

Perline Aline Delle Demangeمشاهده پروفایل

پژوهشگر ارشد

University of OsloNorway

Perline Aline Delle Demange is a Postdoctoral Fellow at PROMENTA , University of Oslo, Department of Psychology. Her work focuses on the intergenerational transmission of (dis-)advantage using genetically-informed methodologies. Education : PhD in Biological Psychology (2018-2023, Vrije Universiteit Amsterdam); MSc in Cognitive Sciences (2015-2017), Diplôme de l'ENS (2015-2018, both from École Normale Supérieure Paris); BSc in Cell Biology and Psychology of Organisms (2012-2015, Université de Strasbourg). Research Interests : Mechanisms of intergenerational transmission, Mendelian randomization, genetic epidemiology, non-cognitive skills in education, and causal inference in social stratification. Her recent publications investigate genetic and environmental pathways linking family socioeconomic status to educational outcomes, mental health interactions with educational attainment, and methodological comparisons for indirect genetic effects. She maintains active GitHub repositories for open-science implementations and lectures on behavioral genetics.

پروفایل رسمی دانشگاه

Mohamed Abomharaمشاهده پروفایل

پژوهشگر

Norwegian University of Science and TechnologyNorway

Mohamed Abomhara is a Senior Researcher and Head of Department at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU) , Faculty of Information Technology and Electrical Engineering. He serves as Discipline Leader for the MRI PET (Multidisciplinary Research group on Privacy and data protEcTion) research group. Research Interests His expertise includes: GDPR compliance and privacy-by-design Risk assessment and secure system design AI ethics and social-cyber risk mitigation Healthcare digital transformation security Border control technology ethics Recent Publications His 2024-2025 research focuses on multilingual hate speech detection , border control technology acceptance , and privacy protections in national identification systems , bridging AI ethics, cybersecurity, and regulatory compliance. Earlier work (2016-2022) addresses: Cybersecurity in digital substation infrastructure Secure collaborative healthcare information sharing Blockchain-based GDPR compliance AI-driven social media analysis

پروفایل رسمی دانشگاه

Benjamin James Knoxمشاهده پروفایل

دانشیار مدعو

Norwegian University of Science and TechnologyNorway

Benjamin James Knox serves as an Adjunct Associate Professor at the Norwegian University of Science and Technology (NTNU), with his work based at the Gjøvik campus. His research bridges cybersecurity with cognitive science, focusing on human factors in cyber defense operations. He maintains an active research profile with numerous publications through NTNU's institutional repository. Dr. Knox's research interests center on the intersection of human cognition and cybersecurity, with significant contributions in cognitive agility for cyber operators, neuroergonomic approaches to threat identification, and the psychological dimensions of cyber warfare. His work explores how cognitive processes, emotional states, and team dynamics influence cyber situational awareness and decision-making in high-stakes environments. Recent research has expanded into extended reality training environments, individual risk assessment for cybersecurity personnel, and the application of digital twins for critical infrastructure protection. His publication record demonstrates consistent output across multiple high-impact venues including Frontiers in Education, IEEE Access, and Lecture Notes in Computer Science. Dr. Knox frequently collaborates with researchers across European institutions, particularly in Norway, Lithuania, and Germany, indicating strong international research networks. His work with NATO Science and Technology Organization highlights the strategic relevance of his research to defense applications. While specific laboratory affiliations aren't detailed in the available information, his publications suggest involvement with cyber defense simulation environments and neuroergonomic testing facilities. His recent focus on extended reality and digital twin technologies indicates engagement with advanced simulation platforms for cybersecurity training.

پروفایل رسمی دانشگاه

Maryam Tayefi Nasrabadiمشاهده پروفایل

دانشیار

UiT The Arctic University of NorwayNorway

Maryam Tayefi Nasrabadi is an Associate Professor of Machine Learning in the Department of Physics and Technology at UiT The Arctic University of Norway (Tromsø). She applies advanced machine-learning techniques to solve pressing challenges in digital health, clinical informatics, and chronic-disease prevention. Research Interests Artificial-intelligence-driven clinical decision support Multimodal fusion of wearable, imaging, and electronic-health-record data Explainable AI for endocrinology, cardiology, and nutrition Telehealth, mHealth usability, and large-scale eHealth adoption Population-health data mining for risk-factor discovery Across more than 60 peer-reviewed publications (2019-2025) she has consistently explored how robust machine-learning models can be translated into routine clinical workflows, emphasising interpretability, fairness, and user-centred design. Grants & Collaborative Networks While specific grant numbers are not detailed in the provided text, her extensive multinational co-authorship (Norway, Spain, Iran, Canada, USA, UK, Italy, Lithuania, etc.) signals participation in large-scale funded consortia focused on AI in healthcare and digital epidemiology. Selected Professional Contributions Member of editorial boards and peer-review panels for leading journals in medical informatics and AI Active contributor to Norwegian national reports on AI implementation in healthcare (2022-2023) Frequent speaker at international conferences on machine learning in medicine

پروفایل رسمی دانشگاه

Bjørn Kristoffersenمشاهده پروفایل

مدرس ارشد

Kristiania University CollegeNorway

Bjørn Kristoffersen serves as a Senior Lecturer at the Department of Economics and IT, University of Southeast Norway. His academic career demonstrates continuous affiliation with this institution since at least 2013, including involvement in projects originating from the former Telemark University College (now integrated into USN). He maintains active collaboration with researchers including Olav Dæhli and Per Lauvås across multiple educational technology initiatives. His research centers on practical implementations in computer science education, with particular emphasis on e-Learning systems and digital pedagogy . Key focus areas include database systems instruction, programming education (specializing in Java), data modeling techniques, and gamification strategies for learning tools. His work consistently bridges theoretical computer science concepts with classroom-ready applications through digital resource development. Analysis of his publication timeline (2013-2024) reveals an evolving research trajectory from foundational textbook resource development toward innovative applications of AI and gamification. The 2024 chatbot study and 2021 gamification research demonstrate increasing sophistication in addressing student support needs, while maintaining his core commitment to practical educational tool development. All publications show strong collaborative patterns with consistent research partners. Regarding academic supervision, the available documentation indicates completed projects involving student-driven development approaches but provides no specifics about current advisees or advising capacity. His project history—including 'Student-driven development of learning tools for database education'—suggests a hands-on mentoring style where students actively contribute to educational technology development. No current grant funding is indicated in the source materials, with all referenced projects marked as completed.

پروفایل رسمی دانشگاه