جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• AI Alignment
• +۲ مورد دیگر

Michael Riegler is a Researcher at the AI Department, Simula Research Laboratory , focusing on interdisciplinary applications of Artificial Intelligence in healthcare, sports analytics, and multimedia systems. His work bridges Machine Learning , AI Alignment , and Applied AI across clinical and real-world domains. Key Affiliations: Simula Research Laboratory (AI Department Head) Research Themes: Explainable AI in medicine, multimodal data analysis, and AI-driven health monitoring Research Interests include: Developing AI/ML algorithms for medical imaging (e.g., polyp detection, embryo analysis) Addressing missing data challenges in healthcare through novel imputation techniques Creating multimodal virtual avatars for investigative interview training Designing edge AI systems for sports analytics and sustainable fishing Recent Publications highlight collaborations with institutions in Norway and globally, with a focus on: Medical Applications: Polyp segmentation, ECG analysis, and explainable models for disease detection Sports Analytics: Athlete performance prediction and soccer video processing Data Infrastructure: Lifelogging datasets (ScopeSense), semantic representation frameworks Labs & Teams include leadership in Simula’s AI Department and participation in projects like Medico Multimedia Task , ImageCLEF , and MediaEval workshops. His work emphasizes responsible AI innovation in public sectors and privacy-preserving systems for edge environments.

Haakon Sundbøمشاهده پروفایل

مدرس ارشد

• Multimedia Technology
• E-Learning
• Photography
• +۱۶ مورد دیگر

Haakon Sundbø is a Senior Lecturer at the Department of Information and Communication Technology, University of Agder. He teaches courses such as Computer Science (DAT100), Multimedia Design (DAT104), Web Publishing (DAT110), Visual Design (DAT222), Sound Engineering (DAT228), ICT and E-learning in Vocational Subjects (PED978), and Didactic Use of Digital Tools (MM903). His academic responsibilities also include guest lecturing and supervision in ICT Project (DAT215), Photography (DAT227), Video (DAT229), Bachelor's Project (DAT303), Web and Online Knowledge (MM901), Remote Operated Vehicles (MM202), Interaction Design (MM403), and Technology for Teachers (TEKPED60). Materials, Energy and Nanotechnology (BSc, University of Oslo) Multimedia Technology and Design (BSc, University of Agder) Multimedia and Educational Technology (MSc, University of Agder) Haakon's research focuses on lifelong learning, e-learning platforms, interaction design, user experience, artificial intelligence in education, augmented reality, virtual reality, and digital competence development. He has contributed to projects like Decentralized Competence Development (DEKOMP), UiA Consense, and drone technology research at University of Agder. His recent publications analyze AI integration in teaching, digital frameworks for schools, screen usage guidelines, and collaborative learning networks. He also leads a research group on Multimedia and E-learning, emphasizing flexible digital resources and practical technology adoption in educational contexts.

Arnoldo Frigessiمشاهده پروفایل

استاد

• Statistics
• Biostatistics
• Machine Learning
• +۵ مورد دیگر

Arnoldo Frigessi is Professor of Statistics at the University of Oslo, where he leads the Oslo Center for Biostatistics and Epidemiology and serves as director of BigInsight—a Centre of Excellence for Research-Based Innovation. This consortium unites industry, business, public actors, and academia to develop model-based machine learning methodologies for big data, with strong emphasis on health applications. His research centers on statistical methodology driven by real-world scientific challenges, specializing in stochastic models for complex dependence structures and computationally intensive inference algorithms. Core application domains include: Genomics and personalized cancer therapy (particularly breast and lung cancer) Infectious disease modeling (including pandemic response) eHealth, sensor data analysis, and recommender systems Personalized marketing and viral diffusion dynamics Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in cancer systems biology , where he integrates multi-omics, single-cell transcriptomics, and computational modeling to decode tumor evolution under therapy. Parallel work advances infectious disease epidemiology through time-varying reproduction number estimation and mobility-based transmission modeling, while methodological innovations span synthetic data generation (TVineSynth), causal inference via target trial emulation, and Bayesian ranking models for recommender systems. Scientific Awards: No specific awards mentioned in source materials Frigessi actively supervises graduate students, including a Department of Informatics project on "Utilizing covariate information in recommender systems." His leadership of BigInsight—funded as a Research-Based Innovation Centre by the Research Council of Norway—secures major grants supporting interdisciplinary collaborations with industrial partners (e.g., Telenor, DNB) and public health institutions. Current projects integrate real-world clinical data with mechanistic models for treatment optimization. He directs BigInsight's multidisciplinary team of statisticians, computer scientists, and domain experts, while leading the Oslo Center for Biostatistics and Epidemiology's efforts in developing statistical frameworks for complex health data. These initiatives drive Norway's national strategy for data-driven health innovation.

• Depression
• Health Psychology
• Heart diseases
• +۶ مورد دیگر

Eva Langvik is a Professor in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). Her work focuses on depression, health psychology, personality assessment, and occupational psychology. She has extensively published on topics such as moral stress in law enforcement, workplace well-being, and psychological factors in cardiovascular health. Her research interests include the intersection of personality traits and health outcomes, particularly in high-stress professions like policing. Studies often address stress management, organizational support systems, and the psychological impact of working with child abuse cases. Recent articles highlight her analysis of police employees’ experiences with workload and organizational resources, as well as investigations into public perception of offenders and patient experiences in clinical settings. She collaborates with institutions like the NTNU Department of Psychology and the Trøndelag Police District.

• Neuroscience
• Neonatology
• Developmental Psychology
• +۷ مورد دیگر

Efthymios Papatzikis is a Professor of Infant Brain Development at Oslo Metropolitan University’s Faculty of Education and International Studies. He leads the Advanced Health Intelligence and Brain-Inspired Technologies (ADEPT) Research Group, focusing on brain development in the first 1500 days of life using neuroimaging, behavioral analysis, and AI-driven tools. Research Focus: Multimodal neuroimaging (qEEG, ABR, aEEG), computational neuroscience, AI in NICU diagnostics, and personalized sound/music interventions. Collaborations: Harvard University, Martinos Center for Biomedical Imaging, UCL, and Bergen University. Editorial Roles: Associate Editor for Frontiers in Pediatric Psychology, Guest Editor for Frontiers in Pediatric Neurology. His work bridges neuroscience with clinical neonatal care, emphasizing family-centered medicine and precision diagnostics. Recent projects include EU Cost Action CA22111 on real-world environments’ impact on brain development. Scientific Awards: Fellow of the Higher Education Academy (FHEA), UK Certified Specialist in Social Prescribing by the World Health Organization He contributes to journals as reviewer and editor, co-develops computational tools for NICU EEG analysis, and advises international foundations on maternal/child health and early childhood education.

• Quality of Experience (QoE)
• User Experience (UX)
• Cybersecurity
• +۶ مورد دیگر

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.

• Language Didactics
• Norwegian Language Education
• Grammar Instruction
• +۷ مورد دیگر

Eli Anne Eiesland is an Associate Professor in the Department of Primary and Secondary Teacher Education at the Faculty of Education and International Studies, Oslo Metropolitan University (OsloMet). Her work bridges linguistic research and classroom practice, with a strong focus on grammar instruction, language didactics, and the evolution of Norwegian in educational materials. Her research interests include language didactics , grammar pedagogy , linguistic change in textbooks , second language acquisition , and exploratory approaches to language teaching . She investigates how grammar is taught in schools, how language evolves in educational contexts, and how students and teachers engage with language as a system. Her recent work explores the impact of digital tools and AI on language learning and writing motivation. The trends in her publications show a consistent focus on contextualized grammar teaching , teacher reflection , and language change in educational materials . Her interdisciplinary approach combines corpus linguistics, pedagogical theory, and classroom-based research. She frequently collaborates with colleagues such as Urd Vindenes and Signe Laake, contributing to both Norwegian and international scholarly discourse. Scientific contributions and dissemination: Over 11 scientific publications, including articles in Journal of Child Language , Nordic Journal of Linguistics , and Pedagogical Linguistics 2 textbooks, including Utforskende arbeid med grammatikk i skolen (2022) 1 research report on Norwegian noun-noun compounds (2016) 73 dissemination works, including public lectures, conference presentations, and media contributions Eiesland actively contributes to teacher education and curriculum development. She has been involved in projects integrating linguistics into teacher training and analyzing language change in national curricula. Her work supports both pre-service and in-service teachers in developing deeper metalinguistic awareness and innovative teaching strategies. She has presented at national and international conferences, including the International Conference on Construction Grammar and the NordAnd conference. She is a key member of the Text and Disciplinary Didactics research group at OsloMet, where she collaborates on projects related to language learning, grammar instruction, and textbook analysis. Her work emphasizes practical applications of linguistic research in educational settings, aiming to enhance both teaching quality and student engagement with language.

• Educational Technology
• Digital Learning
• Teacher Education
• +۵ مورد دیگر

Eli Gjølstad is an Assistant Professor at Oslo Metropolitan University, Faculty of Education and International Studies, Department of Primary and Secondary Teacher Education. Gjølstad serves as Head of Studies for Area of Responsibility 5 and focuses on the integration of digital technologies in educational contexts. The academic is based at Pilestredet 52, 0167 Oslo, with office number B515, and can be contacted via mobile (+47 924 28 894) or office phone (+47 672 37 116). Gjølstad's research interests center on educational technology, particularly focusing on digital learning environments, teacher education, and the implementation of digital tools in primary and secondary education. Special attention is given to human-centered artificial intelligence applications that reduce teacher workload, digital ethics in classroom settings, and evaluating digital tools for foundational literacy and numeracy skills development. The research spans both theoretical frameworks and practical classroom applications across various educational levels. The publication record demonstrates a strong focus on how digital technologies transform teaching and learning practices, with particular emphasis on post-pandemic educational adaptations, ethical considerations in digital education, and practical implementations of educational technology in Norwegian schools. Recent work increasingly addresses artificial intelligence applications in educational contexts, showing a progression toward more sophisticated technological integrations in teacher workflows. Gjølstad has been actively involved in developing open online courses for teacher education and has contributed significantly to understanding students' and teachers' experiences with digital learning environments. The research often employs mixed-methods approaches, combining qualitative insights with quantitative data to provide comprehensive analyses of educational technology implementations. As Head of Studies, Gjølstad plays a key role in shaping teacher education programs with a strong digital component, ensuring that future educators are equipped with necessary technological competencies. The work bridges theoretical research with practical educational applications, creating meaningful connections between academic findings and classroom practice.

• Applied Linguistics
• Discourse Analysis
• Rhetoric
• +۱۲ مورد دیگر

Anne Birgitta Nilsen is a full Professor at Oslo Metropolitan University's Faculty of Teacher Education and International Studies, Department of International Studies and Interpreting Education. Her work bridges discourse analysis , interpreting studies , and extremism research , focusing on hate speech , multimodal communication , and public sector translation . She leads interdisciplinary research projects including "Touching and being touched: Communication and interaction in physiotherapy practice" and has participated in major initiatives like the DARE (Dialogue on Radicalization and Equality) project. Her research interests span: Discourse Analysis (power, hate rhetoric, intercultural communication) Translation Studies (public sector interpreting, children's communication, text-to-speech interpretation) Extremism Research (right-wing extremism, Islamist extremism, social media radicalization) Language Technology (big data analysis, multimodal discourse) Recent publications examine: Combating hate speech through critical linguistic awareness Comparative analysis of far-right and Islamist extremism on Twitter Communication dynamics in physiotherapy practices Challenges in interpreter-mediated healthcare for children Visual rhetoric in Islamic State supporters' social media She contributes to both academic and public discourse, addressing topics from gestalt therapy communication to classroom language use . Her work emphasizes practical applications of linguistics in social justice and professional contexts.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Enrico Pollaroloمشاهده پروفایل

استادیار

• Early Childhood Education and Care (ECEC)
• Higher-Order Thinking Skills
• Critical Thinking
• +۸ مورد دیگر

Enrico Pollarolo is an Assistant Professor in the Department of Early Childhood Education at the University of South-Eastern Norway, Faculty of Arts and Education. His research and teaching focus on fostering higher-order thinking skills in young children through innovative pedagogical practices in early childhood education and care (ECEC). He is actively involved in research projects that explore the integration of mathematics, coding toys, and outdoor learning to support cognitive development. His research interests include: Early Childhood Education and Care (ECEC) Higher-Order Thinking Skills (critical thinking, problem-solving) Computational Thinking in early years Mathematics Education for young children Semiotic mediation by educators Inclusive and participatory research methods His recent publications (2020–2025) reflect a strong emphasis on how educators can scaffold children’s learning through technology-enhanced and outdoor environments. The articles span journals such as Frontiers in Psychology , Entertainment Computing , and European Early Childhood Education Research Journal , as well as presentations at EECERA, ICSEI, and IASSIDD conferences. Key themes include the use of coding toys, transfer of problem-solving skills, and the conceptual distinctions between critical, computational, and problem-solving thinking. Scientific contributions include: Systematic literature reviews on coding toys in ECEC Case studies on outdoor mathematics education Development of pedagogical resources (DiCoTe-ressurser) Work on inclusive research practices with co-researchers Dr. Pollarolo collaborates extensively with researchers such as Francesca Granone, Elin Kirsti Lie Reikerås, and Natalia Kucirkova. He contributes to both academic knowledge and practical resources for educators. He has no listed scientific awards in the provided text, but his consistent publication record and conference presence indicate an active and impactful research trajectory. He advises on research projects and contributes to the development of inclusive educational practices, though formal student advisees are not listed. His work is grounded in both theoretical and applied perspectives, aiming to bridge research and classroom practice in early childhood settings.

• Health Psychology
• Psychology of Personality
• Mental Health
• +۵ مورد دیگر

Eva Langvik is a Professor in the Department of Psychology at NTNU. Her research focuses on mental health, personality psychology, and occupational well-being in high-stress professions like law enforcement. She has led studies on police employees' experiences with child abuse investigations, organizational support systems, and the psychological impacts of work-related stress. Her work also explores health psychology topics such as cardiovascular disease risk factors, eating disorders, and sleep deprivation effects. Langvik's research frequently involves collaboration with institutions like the Trøndelag Police District and employs mixed-methods approaches. Key projects include the STRESOB study examining stressors in child abuse investigations and longitudinal analyses of personality traits' roles in health outcomes. She has contributed to policy discussions around mental health screening in healthcare and workplace environments. Her recent publications analyze public perceptions of offenders, virtual reality applications in education, and gender-specific psychological risk profiles for cardiovascular diseases. Langvik’s work bridges clinical, organizational, and forensic psychology, emphasizing practical implications for improving mental health support systems.

• Human-Computer Interaction
• Learning Analytics
• Learning Technologies
• +۶ مورد دیگر

Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.

• Forensic Psychology
• Social Sciences
• Forensic Psychiatry
• +۴ مورد دیگر

Hayley Manalang Ko is a PhD Research Fellow affiliated with the Norwegian Dental Service Competence Centre East (TkØ) and OsloMet – Oslo Metropolitan University. Her work focuses on forensic odontology, child protection mechanisms, and healthcare professional training. She is part of the Orchid project investigating forensic examinations involving children exposed to violence/abuse, and the ILMA project developing e-learning tools for forensic interviews. Education: Master's in Forensic Psychology (Royal Holloway, University of London) and ongoing Social Sciences studies at OsloMet. Research interests span forensic psychiatry, healthcare administration, and AI applications in clinical training. Key projects include AI-driven child chatbot avatars for medical professional training and comparative studies on virtual interview environments. Publications emphasize gaps in medical/dental interview techniques, co-occurrence of dental diseases, and secondary traumatization in criminal justice roles. Dissemination activities include workshops at State Children's Homes on communication strategies during forensic examinations. Active in research groups like the Next Generation Avatar for Information-Gathering Interviews (ARGI).

• Computer technology
• Forensic psychology
• Information and communication technology
• +۱۰ مورد دیگر

Michael Alexander Riegler is a full-time Professor at Oslo Metropolitan University's Faculty of Social Sciences, specifically in the Department of Social Work, Child Welfare and Social Policy. While his formal academic affiliation focuses on social sciences, his research interests span interdisciplinary domains including computer technology, information and communication systems, medical technology, and mathematics/natural sciences. Current research projects: Strengthening solidarity for democratic unity across border (SOLIDEM) addressing trust erosion in European welfare states, and Artificial intelligence in assisted reproduction technology improving embryo/sperm selection Recent publications (2025) focus on AI applications in healthcare (wearable sensors, ECG reconstruction), anomaly detection in time-series data, multimodal healthcare data analysis, and psychiatric motor activity datasets