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Julien Mayor is a Professor at the Department of Psychology, University of Oslo , specializing in Language Acquisition , Infant Speech Perception , and Computational Modeling in Psychology . His work bridges cognitive development with bilingualism and dialect exposure, focusing on how infants learn words through parental speech patterns. He leads the BabyLing project, developing tools like TLex for unbiased language screening.
Professor Sule Yildirim Yayilgan is a distinguished academic at the Department of Information Security and Communication Technology (IIK) within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. She has held the position of Professor since 2020, following her tenure as Associate Professor from 2016-2020. Dr. Yayilgan previously served as Head of Department between 2005-2009 at HIHM (now part of NTNU). Her academic journey spans over 30 years in teaching and research, with significant contributions to interdisciplinary fields bridging AI, cybersecurity, and privacy. Her educational background includes a MSc in Computer Engineering (1995) and a PhD in Artificial Intelligence and Computer Science (2002). Dr. Yayilgan has led and participated in numerous international research projects funded by EU Horizon 2020, Eurostars, Erasmus+, and various Norwegian research councils. She currently leads the MR PET (Multidisciplinary Research group on Privacy and data protEcTion) research group and serves on the scientific board of NTNU's strategic area in Data Science. Dr. Yayilgan's research spans multiple domains with a unifying focus on ethical, legal, and privacy-preserving AI systems. Her work addresses critical challenges in health, energy, education, and security sectors through advanced AI methodologies. She has published over 100 journal and conference papers, with recent work focusing on hate speech detection, border security technology acceptance, smart grid security, and explainable AI applications. Her publications demonstrate a strong emphasis on practical implementations that balance technical innovation with societal considerations. As an active research leader, she currently oversees several significant projects including VIPA-DELF (vineyard disease detection using federated learning), METICOS (border control technology monitoring), CINELDI (intelligent electricity distribution), and AQMA (air quality monitoring). She also serves on multiple ethics boards and research integrity committees, reflecting her commitment to responsible innovation. Dr. Yayilgan has supervised numerous graduate students throughout her career, advising 41+2 (in progress) MSc students and 3+2 (periods) +6 (in progress) PhD candidates. Her administrative contributions include membership in NTNU's Research Integrity Committee, the Trondheim ACM Women Chapter, and various project management boards for EU-funded initiatives. She maintains active professional affiliations with IEEE, the International Association for Pattern Recognition, and COST Actions focused on language technologies and security research.
André Brodtkorb is a Professor and Head of the Department of Information Technology at Oslo Metropolitan University. His research spans applied mathematics, numerical analysis, and computational science, focusing on physics simulations and GPU computing. He advocates for open and reproducible research and is actively involved in education and societal engagement through the Academy of Young Researchers (2024-2028). Research Interests: His work integrates applied mathematics and computer science to develop high-performance simulations for environmental phenomena, including ocean currents, volcanic ash dispersion, and coastal flooding. He specializes in GPU-accelerated parallel computing, finite-volume methods, and Python-based scientific programming. Publication Trends: Recent articles highlight advancements in GPU computing efficiency, ocean modeling, and inverse ash transport modeling for volcanic plume forecasting. His research bridges computational methods with real-world environmental challenges. Scientific Awards: Member of the Academy of Young Researchers (2024-2028) Contact Information: Office: Pilestredet 35, 0166 Oslo Phone: +47 456 19 070 (Mobile), +47 672 35 924 (Office) Email: andre.brodtkorb@oslomet.no
استاد پژوهشی
Evelina Leivada is an ICREA Research Professor at the Autonomous University of Barcelona (UAB), affiliated with the Centre de Lingüística Teòrica (CLT) and Department of Catalan Philology since 2023. She earned her PhD with highest honors from Universitat de Barcelona in 2015 under an FPI grant from the Spanish Ministry of Science and Innovation, following which she taught at Cyprus University of Technology and held a postdoctoral position at the University of Cyprus funded by the A. G. Leventis Foundation (2016-2017). Her research pioneers bilingual/bidialectal cognition, in vivo and in silico language processing (using humans and Large Language Models), and language variation. As a founding member of the Cyprus Acquisition Team since 2009, she investigates language acquisition dynamics, while her work with Grambank databases and parametric comparison methods enables large-scale analyses of linguistic diversity across 79 languages and 11 language families. Her scientific recognition includes: ICREA Research Professorship (permanent competitive position) Ramón y Cajal Senior Research Fellowship (2020-2022) Marie Skłodowska-Curie Postdoctoral Fellowship (2017-2019) FPI doctoral grant Selection for Aurora Outstanding research initiative (2018-2020) She actively promotes open science as Associate Editor for Psycholinguistics at the Platinum Open Access journal Biolinguistics since 2019, and co-leads collaborative projects through the Cyprus Acquisition Team and CLT at UAB. Her recent work developing multi-metric algorithms for language distance measurement demonstrates methodological innovation in cognitive linguistics. Current research integrates computational modeling with human cognition studies, focusing on how language distance impacts bilingual processing through analyses of 56,122 participants across diverse linguistic landscapes.
پژوهشگر ارشد
Kseniia Marcq is a Research Fellow at the Centre for Educational Measurement (CEMO) at the University of Oslo. Her primary role involves postdoctoral research focusing on educational assessment methodologies. She holds a PhD in Educational Sciences (expected 2025) and an MSc in Measurement, Assessment, and Evaluation from the University of Oslo. Her academic background includes roles as a research assistant and teaching assistant in various educational measurement courses. Her research interests center on large-scale educational assessments, particularly the Programme for International Student Assessment (PISA), with a focus on item format analysis, nonresponse patterns, and psychometric methodologies. She explores cross-country comparisons, gender disparities in educational metrics, and improving the reliability of assessment instruments. Her publications analyze PISA 2018 data, examining item nonresponse, cognitive domain measurement, and methodological advancements in kernel equating and IRT models. She contributes to projects like the 'Early and Adapted Assessment for Language Skills' (SEALS) and collaborates with the Frontier Research in Educational Measurement (FREMO) group. Teaching responsibilities include courses on data science, measurement models, linear models, and survey methodology. She supervised a Master’s thesis on PISA’s mathematical literacy scores and actively participates in academic discourse through peer-reviewed journals. Her work bridges theoretical psychometrics with practical applications in international educational evaluations.
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.
Professor Antonio Martini is a faculty member at the Department of Informatics, University of Oslo , specializing in Software Engineering and Technical Debt management. His research spans microservices , machine learning , visual analytics , and agile methodologies . His research interests focus on: Technical Debt classification and prioritization Machine Learning applications in software development Visual Analytics for Decision Support Scalability in open and serverless systems Notable trends in his publications (2025–2018) include leveraging transformer-based NLP for debt analysis, security debt frameworks, and visual analytics in supply chain environments. He has contributed to tools like AnaConDebt and Skuld for debt tracking and estimation.
پژوهشگر ارشد
Johan Sokrates Wind is a Research Fellow at the University of Oslo's Department of Mathematics, specializing in Differential Equations and Computational Mathematics. His primary affiliation is with the Faculty of Mathematics and Natural Sciences. He holds a Master's in Industrial Mathematics from the Norwegian University of Science and Technology (NTNU) and began his PhD in August 2021. Wind's research focuses on deep learning, neural networks, and overparameterized machine learning systems. He has explored topics such as the Neural Tangent Kernel, Deep Linear Networks, and implicit biases in optimization algorithms. His work bridges theoretical analysis with practical implementations, as evidenced by his blog The Good Minima , where he publishes technical insights on neural network behavior and training dynamics. Notably, he has contributed to projects like real-time visual odometry on smartphones during his part-time role at Arm Ltd. Wind is an active participant in competitive programming and Kaggle competitions, showcasing his problem-solving skills and algorithmic expertise. His research emphasizes analytically tractable models and the mathematical foundations of modern AI systems. Recent investigations include the RWKV language model architecture, efficient CIFAR-10 classification, and the role of initialization and learning rates in SGD's implicit bias. Wind’s publications highlight interdisciplinary approaches, combining elements of optimization theory, computational mathematics, and applied machine learning. He maintains an active blog with detailed technical posts, demonstrating a commitment to open science and knowledge-sharing. His academic journey reflects a balance between theoretical rigor and practical innovation, positioning him as a rising researcher in computational and mathematical aspects of deep learning.
Leona Chandra Kruse is a Professor at the Department of Information Systems, University of Agder. Her research explores the intersection of technology and human experience in the digital age, focusing on designing systems for support, enjoyment, and security. Research areas: Human-Computer Interaction, Digital Transformation, Design Science Research Editorial roles: Senior Editor (European Journal of Information Systems), Special Issue Editor (Decision Support Systems) Conference leadership: Program Chair for WI 2025, Track Chair for ICIS 2025 Her work examines both legacy and emerging technologies including decision support systems, digital companions, non-fungible tokens (NFTs), and immersive environments. She investigates innovative applications such as virtual wine tasting and digital offering design for hybrid experiences. Recent research trends include: Temporal awareness in hybrid work environments Token economy applications in creative industries AI ethics and human-AI collaboration Phygital experience design Crisis informatics during VUCA situations Scientific recognition includes: AVA Research Award for Young Researchers (2024) CHIRA Best Paper Honorable Mention (2024) European Journal of Information Systems Article of the Year (2018, 2024) SIGBIT Best Paper on Web3 (2023) Academic service includes: Executive Committee, AIS Special Interest Group in Pragmatism Doctoral Consortium Chair, DESRIST 2024 Program Chair, DESRIST 2021 Special Issue Editor for top journals
Vladimir Oleshchuk is a Professor at the Department of Information and Communication Technology, University of Agder. His research focuses on Blockchain technology Attribute-based access control E-health security Trust management in networks Privacy-preserving protocols Wireless sensor network security His recent publications emphasize integrating blockchain with large language models (LLMs) for Web3 security, lightweight access control for IoT, and decentralized authentication frameworks. Key contributions include Delegatable attribute-based encryption schemes Privacy-preserving mechanisms for collaborative environments Trust-aware RBAC models He collaborates with researchers like Harsha Gardiyawasam Pussewalage and Ole-Christoffer Granmo, working within the Centre for Integrated Emergency Management (CIEM) research group. Current projects address security challenges in mobile and distributed systems, including unattended wireless sensor networks and 5G infrastructure.
دانشیار
Tom Ryen is an Associate Professor and Head of the Department of Electrical Engineering and Computer Science at the University of Stavanger (UiS), Faculty of Science and Technology. He plays a key leadership role in advancing artificial intelligence research and education, including co-founding the Stavanger AI Lab and chairing the board of the Norwegian Artificial Intelligence Research Consortium (NORA). His work bridges technical research and public engagement, particularly on the societal implications of AI. His research focuses on artificial intelligence, machine learning, digital signal processing, and bioinformatics. He has made significant contributions in gene prediction, splice site analysis using neural networks, ECG signal compression, and GPU-based optical flow algorithms. His recent work emphasizes AI ethics, education, and public understanding, reflecting a shift toward societal impact and policy. Tom Ryen's publications from 2024 show a strong trend in public outreach, with articles and lectures on AI literacy, misinformation, workplace integration, and educational challenges. These works highlight his role as a thought leader in Norway’s AI discourse, advocating for responsible adoption, national infrastructure, and ethical guidelines. Scientific Awards: No scientific awards mentioned in the text. Tom Ryen actively mentors students and collaborates across disciplines, though specific advisees are not listed. He has been involved in significant initiatives such as launching new master’s programs, expanding IT education, and promoting AI in medical and urban technologies. He has not received any mentioned grants, but his leadership in NORA and the Stavanger AI Lab suggests substantial project involvement. He is a founding figure in the Stavanger AI Lab, a research unit at UiS dedicated to AI innovation, education, and collaboration with industry and public sectors. The lab focuses on practical applications and ethical deployment of AI, aligning with national and regional development goals.
Muhammad Mudassar Yamin serves as an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic work spans cybersecurity research, artificial intelligence applications, and cyber range development, with significant contributions to security exercise frameworks and adversarial machine learning. His research interests focus on Cybersecurity , particularly in cyber ranges, security assurance, and AI-driven threat detection. Key areas include Kill Chain analysis, adversarial machine learning for hate speech detection, and security exercise scenario generation. Recent work demonstrates increasing integration of large language models for cybersecurity training and multilingual threat detection systems. Yamin's publication trends show consistent output in top cybersecurity venues, with recent emphasis on AI applications for security (2022-2025). His work bridges theoretical frameworks and practical implementations, particularly in cyber range technologies and threat intelligence systems. Collaborations with researchers like Basel Katt and Ehtesham Hashmi appear frequently across publications. He teaches courses including IIK3100 - Ethical Hacking and Penetration Testing and TTM4175 - Introduction to Cyber Security and Data Communication, reflecting his expertise in practical security education. His doctoral thesis (2022) focused on modeling and analyzing attack-defense scenarios for cyber ranges, establishing the foundation for his current research trajectory.
استاد پژوهشی
Leon Moonen is a Research Professor and Head of the Data-Driven Software Engineering Department at Simula Research Laboratory in Oslo, Norway. He also holds a visiting professor position at the Department of Data Science and Analytics at BI Norwegian Business School. His research focuses on developing advanced data-driven techniques and tools to help software engineers create more secure, trustworthy, and resilient systems. His work combines software analysis, machine learning and AI, software reverse engineering, software repository mining, program comprehension, and empirical software engineering. Moonen's research addresses three main areas: (1) cybersecurity, particularly automated assessment and repair of software security vulnerabilities, as well as automated support for cyber threat intelligence; (2) autonomous self-healing systems, investigating how bio-inspired approaches can build more resilient systems; and (3) intelligent analytics to leverage data from software development, evolution, and operation to support decision-making. His recent publications demonstrate a strong focus on applying large language models to software engineering challenges, including automated programming, program repair, log analysis, and vulnerability detection. The research shows a progression from traditional software engineering approaches toward increasingly sophisticated AI-driven techniques. Professor Moonen has led projects supporting smarter evolution and testing of safety-critical cyber-physical product families, high-integrity software engineering, and software analytics for continuous quality assessment. He collaborates closely with industrial partners including Kongsberg Maritime and Cisco Norway. Before joining Simula, Moonen worked at Delft University of Technology and the Centre for Mathematics and Computer Science (CWI) in Amsterdam. He is also a co-founder of the Software Improvement Group (SIG), which has grown from 6 to over 150 employees since 2000.
پژوهشگر ارشد
Eline Visser is a Research Fellow at Uppsala University's Department of Linguistics, funded by the Wenner-Gren Foundations. She specializes in the endangered languages of eastern Indonesia, particularly Kalamang (Papuan) and Uruangnirin (Austronesian), and leads the Mapping Bomberai project (2024-2026) documenting understudied languages of the Bomberai peninsula. Her work bridges academic research with community-led language preservation initiatives. Her educational background includes: PhD in Linguistics from Lund University (2020), with a dissertation on Kalamang grammar Visser's research centers on language documentation and typology, with deep expertise in Austronesian and Papuan languages of eastern Indonesia. She investigates grammatical relations, narrative structures, prosody, and language contact phenomena through rigorous fieldwork. Her methodological contributions include integrating legacy materials with new field data and developing mobile dictionary apps for community use. She actively engages with ethical considerations in language documentation and promotes digital tools for endangered language preservation. Her publications from 2015-2025 reveal consistent focus on eastern Indonesian languages, particularly grammatical relations in Kalamang/Uruangnirin and methodological innovations in field linguistics. Key trends include the interplay between legacy data and new fieldwork, narrative analysis in Papuan languages, and applying computational approaches to language documentation. Her collaborative work spans syntax, phonology, and discourse analysis across diverse language families. Her scientific recognition includes: Wenner-Gren Fellowship for the Mapping Bomberai project Visser leads the Wenner-Gren-funded Mapping Bomberai project (2024-2026), supporting fieldwork on multiple Bomberai peninsula languages including Bedoanas, Erokwanas, Geser-Gorom, and Mbaham. She collaborates with researchers from Google on applying large language models to grammar reading and audio processing, and supports Wancho language documentation in India. Her community-oriented work includes developing mobile dictionary apps for Kalamang and Uruangnirin speakers. She is an active member of the 'Serial Verb Constructions across modalities' research group at the University of Amsterdam and previously contributed to the 'Where does grammar come from?' group. Her earlier work included the ExSynOp project at UiT The Arctic University of Norway on Scandinavian prosody, demonstrating her cross-linguistic research scope.
پژوهشگر ارشد
Heming Strømholt Bremnes is a post-doctoral researcher in the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU), working within the SCRIBE project on Norwegian language technology, dialect variation and evaluation metrics for large language models. He also holds an MA in Scandinavian linguistics from NTNU (2013) and an MSc in Philosophy from the University of Edinburgh (2015), and he completed his NTNU PhD in 2023 with a dissertation on the neural correlates of quantifier verification. Research interests span large language models, artificial intelligence, cognitive neuroscience, neurolinguistics, formal semantics and the philosophy of language. His empirical work combines behavioural experiments and EEG to probe how computational complexity of quantifier meanings is reflected in brain activity and memory load. Public outreach: Bremnes is a frequent panel member on NRK P2’s radio programme Språksnakk , where he answers popular questions on Norwegian grammar, etymology and usage. Recent articles (2022-2024) concentrate on the cognitive and neural foundations of quantifier processing, demonstrating that differences in computational complexity leave detectable signatures in both behaviour and brain activity.
