جستجوی استاد راهنمای دانشگاهی

Marianne Vedelerمشاهده پروفایل

استاد

• Medieval Archaeology
• Viking Age Archaeology
• Textile Archaeology
• +۳ مورد دیگر

Marianne Vedeler serves as a Professor at the Museum of Cultural History, University of Oslo, within the Department of Archaeology since 2015, where she manages the Medieval Collection and integrates academic research with heritage curation to advance understanding of Norway's material culture from the Iron Age through the Middle Ages. Her educational foundation includes a Dr. Art in Archaeology, though specific institutional details of her degrees remain unspecified in available documentation. This doctoral training underpins her methodological rigor in artifact analysis and historical interpretation. Vedeler's research centers on Medieval and Viking Age archaeology , particularly the language of form in material culture and the socio-cultural significance of textiles, clothing, and accessories across centuries. She pioneers investigations into food culture and collection management systems, revealing how everyday objects encoded identity, status, and cultural exchange in historical societies through meticulous stylistic and contextual analysis. Her extensive 2018-2024 publication record demonstrates an increasingly interdisciplinary trajectory, merging archaeological fieldwork with metabolomics, ancient DNA analysis, and digital imaging to reconstruct past lifeways. This work consistently focuses on Norwegian contexts—especially medieval Oslo—exploring textile production networks, dietary shifts, and trade routes while developing innovative techniques for analyzing fragmentary evidence like food residues and degraded textiles. No specific scientific awards are documented in current sources, though her contributions are evidenced through leadership in major research initiatives and high-impact publications. Vedeler's scholarly impact extends through projects including TexRec (Virtual Reconstruction of Oseberg textiles) and FOODIMPACT (medieval urban food systems), supported by collaborative funding that enables cross-institutional teams to investigate cultural heritage through scientific and digital methodologies. She actively contributes to the Centre for Viking-Age Studies (ViS) and Cloth Cultures in and Beyond the Viking Age research group, fostering international dialogue on Scandinavian material culture while leveraging the Museum of Cultural History's collections for cutting-edge research and public engagement.

• Semantic Modeling
• Ontology Engineering
• Text Mining
• +۳ مورد دیگر

Terje Brasethvik is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). His research focuses on ontology engineering, semantic modeling, and information systems, with a strong emphasis on text mining and knowledge representation. He earned his doctoral degree from NTNU in 2004 with a dissertation on conceptual modeling for document retrieval. His work spans ontology relationship learning, collaborative healthcare systems (e.g., EigenJournal), and enterprise systems. Notable contributions include hybrid approaches to ontology learning, semantic web technologies, and empirical evaluations of conceptual models. Brasethvik has participated in international conferences and workshops, including the First International Workshop on Innovative Internet Information Systems (1998) and the International Symposium on Electronic Personal Health Records (2006). His publications highlight interdisciplinary applications in healthcare informatics, data mining, and collaborative platforms. Brasethvik has co-authored reports on semantic enrichment for system interoperability and contributed to educational initiatives integrating peer review in IS courses.

• Artificial intelligence
• Computational creativity
• Computational linguistics
• +۲ مورد دیگر

Björn Gambäck is a Professor of Language Technology at the Norwegian University of Science and Technology (NTNU) in the Department of Computer Science. He teaches courses including Intelligent Text Analytics and Language Understanding (TDT4310) and modules in Computational Creativity and Advanced Text Analytics. His research focuses on artificial intelligence, computational creativity, and language technology, with advising available for Master's theses in these areas. Research interests span natural language processing, generative modeling for text, computational approaches to creativity, and machine learning applications in linguistic analysis. Primary competencies include developing AI systems for text interpretation, creative computational systems, and linguistic data modeling.

• Cognitive Science
• Neurolinguistics
• Psycholinguistics
• +۴ مورد دیگر

Giosuè Baggio is a Professor of Psycholinguistics at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Language and Literature within the Faculty of Humanities. His research focuses on cognitive science, neurolinguistics, and the neural mechanisms underlying language processing, including semantics, syntax, and compositionality. He is the author of influential works such as Meaning in the Brain and Neurolinguistics , published by MIT Press. Baggio teaches courses such as Language and Cognition , Semantics and Pragmatics , and Research Methods in Linguistics . His work bridges experimental psychology, neuroscience, and computational models, with a particular interest in how language is represented in the brain and the implications for artificial intelligence. He actively engages in science communication, contributing to media outlets like Nature , The Guardian , and Norwegian public radio (NRK), discussing topics ranging from AI ethics to university policies. His research has explored the cultural transmission of symbolic systems, the neural basis of deductive reasoning, and the role of computational complexity in quantifier processing. Baggio is a vocal advocate for rigorous scientific methodology, emphasizing preregistration and theory development. He collaborates internationally, including roles at the Embodied Cognitive Science Unit (OIST, Okinawa) and the Sydney Music, Mind, and Body Lab. His recent work includes organizing conferences like the 2025 Linguistic Association of Finland Symposium on 'Meaning in Language, Machines, and Humans.'

Allah Buxمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Medical Image Analysis
• Deep Learning
• +۶ مورد دیگر

Allah Bux is a Research Fellow at the Department of Linguistic, Literary and Aesthetic Studies, University of Bergen. His work focuses on advanced computer vision techniques, medical image analysis, and deep learning applications. He holds expertise in 3D reconstruction, anomaly detection, and surveillance systems. His research interests include developing novel neural network architectures for tasks such as skin cancer diagnosis, head pose estimation, and human action recognition. He also explores spatiotemporal analysis and attention mechanisms in CNN models. Recent trends in his publications emphasize integration of vision transformers, dual attention networks, and transfer learning for solving real-world problems in healthcare, security, and education. No scientific awards or grants are explicitly listed in the provided text. He has no documented advisees. His research involves collaborations in medical imaging, autonomous surveillance systems, and educational data analysis, with a focus on practical applications of AI.

• Databases
• Distributed Systems
• Big Data Velocity
• +۳ مورد دیگر

Svein Erik Bratsberg is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Computer Science, Faculty of Information Technology and Electrical Engineering. His research focuses on databases, distributed systems, and high-velocity big data. Current Affiliation: NTNU/IDI Research Focus: Velocity in Big Data, Scalable Indexing, Structured Queries Previous Affiliation: Clustra (real-time databases) Research Centers: SFI iAD (2007-14), SFU Excited He has developed next-generation search engines and optimized distributed inverted indexes. His work includes entity linking, query processing, and dynamic optimization of pivot-based indexing systems. Scientific awards are not documented in the provided text. His recent publications focus on entity search, query processing techniques, and distributed retrieval architectures. Courses: TDT4145 Data Modeling, TDT4225 Distributed Data Volumes, TDT02 Distributed Systems Contact: sveinbra@ntnu.no

Bjørnar Tessemمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Journalism
• +۳ مورد دیگر

Bjørnar Tessem is a Professor at the Department of Information and Media Studies, University of Bergen. His research focuses on artificial intelligence (AI) and machine learning applications in journalism and sustainable resource management, particularly fisheries. He leads projects like MediaFutures and collaborates with researchers on anomaly detection in fisheries data and ethical AI in automated journalism systems. His work bridges computational methods with societal challenges, emphasizing fairness, transparency, and sustainability. Research interests include AI-driven journalism frameworks, knowledge graphs for news angles, sustainable fisheries monitoring via machine learning, and ethical implications of AI in media. Key projects involve developing tools for detecting violations in fishing activities and enhancing news production through automated systems. He also contributes to public understanding through popular science articles on technology and AI. Recent articles highlight advancements in collective anomaly detection for fisheries surveillance, future technologies in journalism, and fairness in automated data journalism systems. Tessem’s research is supported by grants from the Research Council of Norway and has implications for both academic and industry applications in media and environmental sectors.

• High Performance Computing
• Parallel Computing
• Heterogeneous Computing
• +۱۲ مورد دیگر

Anne C. Elster is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. She is the founder and director of the HPC-Lab, a leading research group in heterogeneous and parallel computing. She also maintains a long-standing affiliation with the Oden Institute at the University of Texas at Austin as a Senior Visiting Scientist until Summer 2025. Research Interests: Her work spans high-performance computing (HPC), GPU computing, parallel algorithms, auto-tuning, performance optimization, and machine learning applications in scientific computing. She leads research in heterogeneous architectures and has contributed significantly to compiler and runtime systems for GPUs and accelerators. Publications Trends: Her recent publications (2021–2024) focus on GPU acceleration, auto-tuning frameworks (e.g., BAT, LS-CAT), performance modeling (Roofline), machine learning integration in HPC, and applications in geophysical and scientific computing. There is a strong emphasis on empirical evaluation, benchmarking, and practical optimization techniques. Scientific Awards and Recognition: IEEE Senior Member (2000) IEEE Computer Society Distinguished Contributor Charter member, NTNU's Board (2021) Distinguished Speaker, IEEE Computer Society (2019–2022) Advising and Grants: She has advised over 100 master’s students and several PhD students. She has led major funded projects including the RCN SFI Centre for Geophysical Forecasting, EU H2020 CloudLightning and TICOH, and NFR FRINATEK on Computational Microscopy. She has served on numerous international program committees and evaluation boards. Labs and Teams: She leads the HPC-Lab at NTNU, which includes postdocs, PhDs, and master’s students, and collaborates with international researchers. The lab is a hub for innovation in GPU computing, auto-tuning, and HPC applications.

Woldaregay, Ashenafi Zebeneمشاهده پروفایل

پژوهشگر

• Digital Health
• mHealth
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Woldaregay, Ashenafi Zebene is a researcher at UiT The Arctic University of Norway, affiliated with the Faculty of Health Sciences and the Department of Clinical Medicine. His work bridges digital health, artificial intelligence, and clinical applications, particularly in diabetes management and infectious disease surveillance. He is a key contributor to the EDMON (Electronic Disease Surveillance and Monitoring Network) project, which leverages self-recorded health data from people with Type 1 diabetes for early outbreak detection. PhD in Digital Health / Health Informatics (2021) Master’s in Electronic Disease Surveillance (2016) His research focuses on applying machine learning, data science, and AI to solve pressing healthcare challenges. Key areas include blood glucose pattern analysis in diabetes, anomaly detection, mHealth adoption, wearable technology, and syndromic surveillance. He has developed models for infection detection, surgical risk prediction, and deidentification of clinical text. His work emphasizes real-world applicability, patient engagement, and data privacy. The most recent articles show a strong trend toward transformer models, synthetic data, and instruction-guided NLP in clinical contexts, alongside continued work in mHealth usability, caregiver support, and personalized health monitoring. His publications span journals in health informatics, medical informatics, and digital health, reflecting interdisciplinary collaboration. Scientific contributions include: Development of the EDMON system for real-time infection monitoring Creation of datasets for wearables and mHealth motivation factors Systematic reviews on reinforcement learning in diabetes and AI in healthcare security Innovation in cluster detection algorithms (K-CUSUM) for outbreak detection While direct information on grants and advising is not provided, his role as a doctoral candidate and co-author on numerous student-led studies suggests involvement in research mentoring. He collaborates extensively with researchers such as Gunnar Hartvigsen, Eirik Årsand, and Karl Øyvind Mikalsen, indicating membership in a large, active digital health research group. He is involved in a multidisciplinary research lab focused on digital health innovation, mHealth systems, and AI-driven clinical decision support. The team works on real-time monitoring, data privacy, and user-centered design of health technologies, with applications in chronic disease management and public health surveillance.

Gebremariam Assresمشاهده پروفایل

دانشیار

• Software Engineering
• Human-Computer Interaction
• Intelligent Systems
• +۱۲ مورد دیگر

Gebremariam Assres is an Associate Professor at Kristiania University College's School of Economics, Innovation and Technology, specializing in software engineering, human-computer interaction, intelligent systems, and cybersecurity. His research spans IoT, machine learning, mulsemedia, and secure computing applications in healthcare and education. B.Sc. and M.Sc. in Computer Science from Addis Ababa University Ph.D. in Information Technology (Software Engineering) from Addis Ababa University 20+ years of teaching and research experience His work focuses on software development frameworks, telemedicine, and multisensory media. Recent publications address AI-enabled vulnerability detection, ML software engineering challenges, and telemedicine architecture reviews. Dr. Assres supervises bachelor's and master's students, teaches cybersecurity and software architecture courses, and contributes to open-source educational materials via public repositories. Labs/Teams: Mobile Technology Lab at Kristiania University College

Joseph Maloba Makokhaمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Machine Learning
• Collaborative Systems
• +۳ مورد دیگر

Joseph Maloba Makokha is a Research Fellow at the University of Oslo's Institute for Informatics (IFI), housed within the Department of Mathematics and Natural Sciences. His work bridges artificial intelligence (AI), design innovation, and collaborative systems, focusing on how AI systems enhance human creativity, decision-making, and teamwork. He holds a BSc in Electrical Engineering/Computer Science (Nairobi, Kenya), MSc in Education (Holy Names and Stanford Universities, USA), and a PhD in Mechanical Engineering from Stanford University. Research interests include AI's impact on creative processes, team dynamics, and industry applications. He collaborates with enterprises to deploy AI solutions and evaluates their societal implications. Affiliated with UiO Growth House and the International Summer School, he emphasizes interdisciplinary approaches to innovation. Teaching and experimental studies form core activities, with a focus on AI ethics and practical industry integration. His work combines technical AI development with human-centric design principles.

Ahmet Soyluمشاهده پروفایل

دانشیار

• Knowledge Graphs
• Semantic Web
• Data Integration
• +۳ مورد دیگر

Ahmet Soylu is Associate Professor in Data and Knowledge Management at the University of Oslo. His research develops semantic technologies and knowledge systems for applications in healthcare, cloud computing, and industrial domains. Research Focus Creates knowledge graph systems for data integration and analysis, with applications in medical diagnostics (cancer/brain tumor classification), cloud cost optimization, and industrial monitoring systems. Develops transformer-based models for SQL recommendation and data linking. Publication Trends Recent work shows strong emphasis on healthcare AI (particularly cancer diagnostics), cloud storage optimization, knowledge graph embeddings, and industrial applications at Bosch. Increasing focus on imbalanced learning techniques for medical data. Project Leadership Developed Koala-UI for tabular data linking Semantic systems for Bosch welding quality monitoring Open energy management systems for EV charging

Nazareth Amlesom Kifleمشاهده پروفایل

دانشیار

• Linguistics
• Syntax
• Morphology
• +۵ مورد دیگر

Nazareth Amlesom Kifle is an Associate Professor at the Department of Languages, Literature and Culture at the University College of Southeast Norway. Their primary research interests span linguistics and language didactics, focusing on syntax, morphology, lexical semantics, and second language acquisition. They hold a PhD from the University of Bergen (2012), an MA in English Language Teaching from Lancaster University (1998), and a BA in Language Studies from the University of Asmara (1996). Key research areas include syntactic functions and semantic roles (e.g., applicative constructions, causative/passive structures) and language didactics topics like learners' language and grammar pedagogy. Courses taught include English grammar, language variation, second language acquisition, and research methodology. Recent publications (2023–2005) explore teacher education in grammar, computational linguistics for language translation, and library information practices. They are affiliated with the 'Language in the individual and society' research group.

• Developmental Psychology
• Infant Language Development
• Phonological Development
• +۴ مورد دیگر

Nunne Englund is an Associate Professor in Psychology at the Department of Psychology, Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Humanities and Social Sciences. She holds a PhD in Developmental Psychology from NTNU. Her research focuses on phonological development, infant directed speech, and general language development in early childhood. Englund is a member of two research groups: the Speech, Cognition and Language Research Group (SCaLa) and the Learning and Skill Development (Mind, Brain and Education) group. Her work explores how infants perceive and process speech, particularly in natural caregiver interactions, and examines the impact of environmental factors like media use on child development. Her research has been published in journals such as Scandinavian Journal of Psychology , Applied Psycholinguistics , and Behavior Research Methods . Key themes include audiovisual speech perception, hypoarticulation in infant-directed speech, and the role of physical fitness in reading skills development. Englund teaches courses such as PSY2111 (Specialization in Developmental Psychology) and introductory cognitive psychology modules. She has engaged in extensive public outreach, including media appearances on NRK, interviews in Aftenposten , and workshops on early language stimulation for parents and educators. Her contributions span interdisciplinary research areas, integrating developmental psychology, linguistics, and educational practices to understand early childhood language acquisition and its societal implications.

Ricardo Gregorio Lugoمشاهده پروفایل

دانشیار

• Cybersecurity
• Psychology
• Behavioral Science
• +۴ مورد دیگر

Ricardo Gregorio Lugo is an Associate Professor at the Department of Welfare, Management and Organisation at Oslo Metropolitan University. His research focuses on behavioral aspects of cyber defense operations, human factors in cybersecurity, and cognitive engineering. He holds a PhD in Psychology from Johannes Gutenberg University Mainz (2018), a Master’s in Philosophy from the University of Oslo (2009), and a Bachelor’s in Family and Developmental Psychology from Lillehammer University College (2007). Dr. Lugo collaborates with institutions globally, including NTNU Gjøvik, Tallinn University of Technology, and Vilnius University. His work bridges cybersecurity with psychology, exploring decision-making under pressure, stress in caregiving contexts, and the application of technology in education and healthcare. He has published extensively on cyber threat identification, workforce training, and AI security. His research emphasizes interdisciplinary approaches, using experimental methods to study human behavior in cyber defense exercises. He also contributes to projects like ACDICOM, advancing human performance in cybersecurity. Despite no listed awards, his work has been published in journals like Journal of Cases on Information Technology and Frontiers in Computer Science . Dr. Lugo’s research interests span cybersecurity, behavioral science, and health psychology, with a focus on applying psychological principles to improve cyber defense strategies. He has advised on numerous projects and co-authored over 30 publications. His collaborations include national and international institutions, emphasizing practical applications of research in real-world scenarios.