جستجوی استاد راهنمای دانشگاهی

• Digital Journalism
• Fact-checking
• Media Platforms
• +۷ مورد دیگر

Oscar Westlund serves as Professor at the Department of Journalism and Media Studies within the Faculty of Social Sciences at Oslo Metropolitan University (OsloMet), where he co-leads the OsloMet Digital Journalism Research Group. He maintains a secondary appointment at the University of Gothenburg and acts as Editor-in-Chief of Digital Journalism . His research spans digital journalism, fact-checking, platform dynamics, media management, news consumption, and mobile media. Westlund's scholarly focus centers on journalism safety in digital environments, sociotechnical dimensions of misinformation combat, and platform-induced challenges for news organizations. His work examines professional fragilities of journalists, epistemological foundations of data journalism, and legitimacy paradoxes in public service media-platform relationships. Current projects address disinformation countermeasures through the SCAM initiative (Source Criticism And Mediated Disinformation). Analysis of his 2022-2024 publications reveals dominant themes: journalism safety frameworks (33%), platform-journalism tensions (27%), and fact-checking as sociotechnical practice (23%). Key methodological approaches include cross-national comparative studies, epistemological analysis, and practice theory applied to digital news production. Westlund actively contributes to academic discourse through editorial leadership at Digital Journalism and special issue guest editing. His research group coordinates interdisciplinary collaboration on digital journalism studies, while the SCAM project develops practical methodologies for disinformation detection in democratic contexts. Recent work demonstrates increasing emphasis on mobile news ecosystems and journalist safety cultures. He co-leads the OsloMet Digital Journalism Research Group, which investigates platform impacts on news production, mobile journalism evolution, and epistemological shifts in data-driven reporting. The group maintains strong international partnerships, particularly with Swedish institutions through his University of Gothenburg affiliation.

• Documentation Studies
• Document Theory
• Paratext
• +۱۲ مورد دیگر

Roswitha Skare is a Professor of Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway, within the Faculty of Humanities, Social Sciences and Teacher Education. She is actively engaged in research and teaching, focusing on documentation studies, public libraries, archives, museums (LAM sector), digitalization, and film history. Her research interests include: Documentation and document theory Paratext and digital documents Public libraries and their role in society Libraries and social media Migration and refugee services in libraries Film history, especially silent films and early documentaries Cultural memory and Sámi cultural resilience Institutional convergence in cultural policy Her recent publications (2019–2025) reveal a strong focus on public libraries during and after the Covid-19 pandemic, the role of libraries in supporting immigrants and refugees, theoretical developments in document studies, and historical film analysis—particularly Robert Flaherty’s Nanook of the North . She frequently collaborates with scholars such as Andreas Vårheim, Noah Lenstra, and Sigrid Stokstad. Her work appears in journals like Journal of Documentation , Library & Information Science Research , and Proceedings from the Document Academy . Roswitha Skare teaches courses such as: MDV-1001: Multimediale dokumenter: Historie, teori og analyse MDV-1203: Bibliotek og formidling MDV-1207: Dokumentinstitusjoner og digitalisering MDV-1206: Prosjektoppgave i bibliotek- og dokumentasjonsvitenskap She supervises bachelor’s, project, and master’s students in library and documentation science. She is a member of the research group Engaging Conflicts in a Digital Era (ENCODE) and participates in projects such as LAMCOM – Libraries, archives, and museums in the community and SAMCOM - Sámi cultural centers as community and cultural resilience infrastructure , which explore the societal roles of cultural institutions and Indigenous resilience. No scientific awards are listed in the provided text.

• Health Informatics
• Medical Data Privacy
• Electronic Health Records
• +۴ مورد دیگر

Johan Gustav Bellika is a Professor at the Department of Clinical Medicine, UiT The Arctic University of Norway, based in Tromsø. His work bridges clinical medicine with health informatics, focusing on practical applications that improve healthcare delivery and patient outcomes. Current Position: Professor, Department of Clinical Medicine Institution: UiT The Arctic University of Norway Location: Tromsø, Norway Contact: johan.gustav.bellika@uit.no Professor Bellika's research spans several critical areas in modern healthcare. His primary focus is on health informatics with particular emphasis on medical data privacy, electronic health records, and the application of artificial intelligence in clinical settings. He has made significant contributions to understanding chronic pain management through technology, primary care research networks, and patient-centered care models. His work often involves large population studies such as the Tromsø Study, examining how digital health tools impact healthcare utilization and patient outcomes. His research demonstrates a consistent thread connecting technological innovation with practical clinical applications. Bellika has been instrumental in developing privacy-preserving architectures for healthcare data analysis, which enable researchers to gain insights from sensitive health information without compromising patient privacy. His work on federated learning frameworks represents cutting-edge approaches to analyzing medical data while maintaining strict privacy controls. Health Informatics and Medical Data Privacy Chronic Pain Management through Technology Primary Care Research Networks (PraksisNett) Electronic Health Records and Clinical Decision Support Patient-Centered Digital Health Solutions Federated Learning Applications in Healthcare Professor Bellika's publication record shows a strong trend toward interdisciplinary research that combines clinical medicine, computer science, and public health. His recent work increasingly focuses on the intersection of artificial intelligence and healthcare, particularly how machine learning can be applied to chronic conditions while maintaining rigorous privacy standards. The geographical scope of his research extends across Norway with particular emphasis on Northern Norwegian populations, providing valuable insights into healthcare delivery in Arctic and remote regions. His collaborative approach is evident through numerous co-authored publications with researchers across multiple institutions and disciplines. While specific awards aren't detailed in the available information, his extensive publication record in reputable journals suggests recognition within his field. Professor Bellika has been actively involved in several major research initiatives including the Tromsø Study and PraksisNett, Norway's nationwide practice-based research network. His work on privacy-preserving architectures for healthcare data has significant implications for how medical research can be conducted while respecting patient confidentiality. He appears to be particularly focused on translating research findings into practical tools for clinicians, as evidenced by his work on audit and feedback systems for antibiotic prescribing.

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Habib Ullah is an Associate Professor in Data Science at the Norwegian University of Life Sciences (NMBU), Norway, where he conducts research at the intersection of computer vision and machine learning. He is affiliated with the Institute of Data Science under the Faculty of Science and Technology. He has previously held academic positions at COMSATS University Islamabad, Pakistan, and the University of Ha'il, Saudi Arabia, and served as a postdoctoral researcher at The Arctic University of Norway. Educational Background: PhD in Information and Communication Technology (Computer Vision), University of Trento, Italy (2011–2015) MSc in Electronics and Computer Engineering, Hanyang University, South Korea (2007–2009) BSc in Computer Systems Engineering, NWFP University of Engineering and Technology, Pakistan (2002–2006) Habib Ullah's research is primarily focused on computer vision and machine learning, with applications in aquaculture, agriculture, and human behavior analysis. He investigates underwater fish feeding sounds using audio classification, develops zero-shot learning models for recognizing unseen classes, and applies deep learning to detect stress in salmon via skin dot patterns. He also explores AI-driven controlled environment agriculture, leveraging sensors and automation for optimal crop growth. His work emphasizes practical AI solutions for real-world challenges in environmental and biological domains. The recent publications highlight a strong trend in leveraging deep learning for zero-shot and semi-supervised learning, particularly in computer vision tasks such as sea ice classification, crowd anomaly detection, and agricultural monitoring. His research spans remote sensing, biomedical signal processing, and human activity recognition, demonstrating interdisciplinary versatility. The keywords reflect a focus on robust feature representation, knowledge transfer, and model generalization. Scientific Awards and Funding: Industrial PhD grant 'Advancing Controlled Environment Agriculture AI' from The Research Council of Norway (Project number 354125, 2 million NOK, 2024) Team member (Coordinator-Participant) in the Battery Cell Assembly Twin (BatCAT) project funded by Horizon Europe (7 mEuro, 2023–2027) Development of an AI-Based Image Analysis System for Monitoring Plant Status (Funding: 1.8 mNOK, starting 2025) Habib Ullah actively supervises PhD projects and contributes to academic service through editorial and organizational roles. He has served as an Associate Editor for IEEE Access, Guest Editor for MDPI Remote Sensing, and Editor of the Springer book Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition, and Support (ML-SHEARS) . He has also been a Track Chair and Program Committee Member for several international conferences, reflecting his leadership in the academic community. His research is supported by significant grants and collaborative projects, indicating strong institutional and international engagement. He is involved in multiple research teams and projects, including the BatCAT project on battery manufacturing and AI applications in controlled environment agriculture with RIFT LABS AS. His lab work integrates deep learning, sensor fusion, and data analytics for environmental and biological monitoring systems.

Vasileios Mavroeidisمشاهده پروفایل

دانشیار

• Cybersecurity
• Security Automation and Orchestration (SOAR)
• Cyber Threat Intelligence (CTI)
• +۶ مورد دیگر

Vasileios Mavroeidis is an Associate Professor in Digital Security at the Department of Informatics, University of Oslo (UiO). He specializes in security automation and orchestration (SOAR) and cyber threat intelligence (CTI) representation, reasoning, and sharing. He actively contributes to European cybersecurity initiatives, including Horizon Europe, Connecting Europe Facility, and the European Defense Fund, and serves as the primary representative of UiO at the OASIS standards development organization since 2017. Role : Associate Professor Department : Digital Security (SEC), University of Oslo Standardization Involvement : Chairman of OASIS Threat Actor Context (TAC), Leading Contributor to CACAO and OpenC2 Projects : Concordia, CyberHunt, JCOP (Joint Cyber Security Operations Platform), Oslo Analytics, P4C (Partnership for Cybersecurity) His research focuses on cyber threat intelligence (CTI), exploring its taxonomies, sharing standards (STIX, CACAO), and ontologies, with contributions to the European Union Agency for Cybersecurity (ENISA) Cybersecurity Playbooks task force. He analyzes quantum computing's impact on cryptography, develops automated threat detection systems using machine learning (e.g., recurrent neural networks for malware-generated domains), and investigates privacy issues under GDPR. Recent publications highlight his work on LLMs for code stylometry , neurosymbolic AI for cyber defense , and knowledge management systems for CACAO playbooks . His articles span 2017–2025, emphasizing formal verification, biometric data protection, and incident response automation. He collaborates with organizations like OASIS (Threat Actor Context, CACAO, OpenC2) and FIRST (Traffic Light Protocol), and participates in European research projects. His work includes standardization efforts in cybersecurity playbooks , MITRE ATT&CK representation, and quantum-resistant cryptography .

• Power System Operation
• Smart Grids
• Digital Power System Protection
• +۵ مورد دیگر

Irina Oleinikova is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Electric Energy, Faculty of Information Technology and Electrical Engineering. She leads the Power System Operation and Analysis research group and serves as the NTNU Smart Grid Team Leader. She is a steering committee member of the European Energy Research Alliance (EERA) Joint Programme on Smart Grids and an expert in the International Smart Grid Action Network (ISGAN) WG6. Research Interests : Power System Operation, Digital Power System Protection and Control, Grid Resilience, Energy Flexibility, Cybersecurity in Power Systems, and Hydrogen Technology Integration. Her work focuses on advancing smart grids, grid flexibility, and cybersecurity through projects like FME CINELDI, HONOR, ASAP, and ZeroKyst. Key Projects : CINELDI : Developing intelligent electricity distribution grids. HONOR : Cross-sectoral energy flexibility markets. ASAP : Next-generation system protection schemes. ZeroKyst : Hydrogen and charging infrastructure along Norway’s coast. COSPAT : Stability of AC/DC transmission grids via co-simulation. Advising & Grants : Supervises PhD students in digital protection and cybersecurity. Active in projects funded by RCN, STATNETT, and EU Horizon 2020. Leads the Power System Operation and Analysis group and collaborates with SINTEF and industry partners. Labs/Teams : NTNU Smart Grid Team and the Power System Operation research group.

Swati Aggarwalمشاهده پروفایل

استاد

• Artificial Intelligence
• AI in Health and Medicine
• AI in Society
• +۶ مورد دیگر

Swati Aggarwal is a Professor in Artificial Intelligence at the Faculty of Logistics, Molde University College (HiMolde). Her research focuses on AI applications in healthcare, ethics, cognitive development, and neural networks. She holds a PhD in Neutrosophic Neural Networks, a Master's in Information Technology, and a Bachelor's in Computer Science and Engineering. Previously, she was a Marie Curie Postdoc Fellow at NTNU, working on AI models for cognitive assessment in infants (AIM_COACH project). Research Interests - AI in Health/Medicine - Ethics in AI and Societal Impact - EEG/BCI for Cognitive Assessment - Machine Learning and Deep Learning Publications Her recent work spans AI ethics, BCI applications, adversarial attacks, and healthcare diagnostics. Notable contributions include EEG-based infant perceptual monitoring (2025) and malaria detection via EfficientNet (2023). She also explores cross-lingual adversarial robustness and blockchain in hospitality systems. Labs/Teams - ABC-AI: Applied, Basic, and Conscientious AI Group - Virtual Technologies and Learning Research Group

Ståle Knudsenمشاهده پروفایل

استاد

• Environmental Anthropology
• Political Ecology
• Corporate Social Responsibility (CSR)
• +۶ مورد دیگر

Ståle Knudsen is a Professor in the Department of Social Anthropology at the University of Bergen, Norway. His research bridges environmental anthropology and political ecology, focusing on transnational corporations, corporate social responsibility (CSR), and environmental governance. Key areas include Norwegian energy corporations' CSR practices abroad, Turkish fisheries management, and global energy policies. He led the EU-funded KNOWSEAS (2009–2013) and ENERGETHICS (2015–2019) projects, examining CSR in state-owned energy sectors. Knudsen has authored Fishers and Scientists in Modern Turkey (2009) and co-edited Corporate Social Responsibility and the Paradoxes of State Capitalism (2023). His work critiques the intersection of financial logics and environmental accountability in global corporate operations. From 2014–2021, he served as Head of the Department of Social Anthropology at UiB. Research Interests: Corporate responsibility, energy governance, political ecology, environmental conflict, and transnational corporations. Key Projects: ENERGETHICS (CSR in energy companies), KNOWSEAS (European marine management), and ELMÉ (EU fisheries policies). Knudsen’s research combines long-term fieldwork in Turkey with interdisciplinary analysis of global energy systems and CSR paradoxes. He critiques the 'Nordic Model' as a CSR framework and explores tensions between corporate profit and sustainability goals in Norway’s state-owned enterprises.

• Welfare Sociology
• Social Inequality and Poverty
• Marginalization and Social Exclusion
• +۹ مورد دیگر

Professor Kjetil Grimastad Lundberg serves at the Institute for Welfare and Participation, Western Norway University of Applied Sciences (HVL), appointed Professor of Welfare Sociology in 2020 after joining HVL in 2018. A University of Bergen PhD graduate (2012), he previously worked as Researcher II at Uni Research Rokkansenteret (2011-2018). His academic credentials include: PhD in Sociology, University of Bergen, 2012 Master's in Sociology, University of Bergen, 2007 Lundberg's research critically examines intersections of welfare systems, poverty, and marginalization through institutional ethnography. He investigates street-level bureaucracy in NAV (Norwegian Labour and Welfare Administration), digitalization impacts, and child/family perspectives in low-income contexts, emphasizing stigma, power dynamics, and activation policies. His work bridges theoretical sociology with practical welfare challenges. His 15 most recent publications (2017-2024) reveal consistent focus on welfare-state dynamics, with recurring themes of work inclusion mechanisms, user experiences in complex interventions, and poverty's structural dimensions. Methodologically, he employs qualitative institutional ethnography across European Societies, European Journal of Social Work, and Social Policy and Society, demonstrating longitudinal analysis of policy evolution. Lundberg supervises multiple PhD candidates on work inclusion and poverty interventions while leading the NAV-funded project 'Barneperspektiv i Nav' (2023-2027) and participating in three additional studies addressing long-term poverty effects and cross-sectoral coordination. His grant portfolio spans NAV-FOU, Sparebankstiftelsen, and NFR funding. He contributes to HVL's 'Rights, Democracy and Welfare' research group, advancing critical welfare sociology through teaching in social science, sociology, and social work programs while examining urban poverty, bureaucratic practices, and marginalized family experiences.

Søren Holmمشاهده پروفایل

استاد

• Medical Ethics
• Research Ethics
• Bioethics
• +۷ مورد دیگر

Søren Holm is a Professor at the Center for Medical Ethics , University of Oslo. His work spans medical ethics, bioethics, and research ethics , with a focus on artificial intelligence in healthcare, pandemic ethics, and organ transplantation . Primary Affiliation: University of Oslo, Faculty of Medicine Research Themes: AI diagnostics, informed consent, research integrity, end-of-life ethics Key Collaborations: Thomas Ploug, Bjørn Hofmann, Daniel Warrington Recent Publications (2023-2025) analyze ethical challenges in AI-driven healthcare regulation, pandemic research ethics, and data governance . Notable topics include contestable AI diagnostics , equipoise in clinical trials , and conflict of interest disclosure . Contact: Email via soren.holm@medisin.uio.no . No scientific awards or student advisement details explicitly mentioned in the scraped text.

• EEG Signal Processing
• Brain-Computer Interfaces
• Artificial Intelligence
• +۵ مورد دیگر

Marta Molinas is a Professor at the Department of Engineering Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). Her research spans multiple interdisciplinary domains with a focus on EEG technology and brain-computer interfaces. She actively supervises numerous Master's projects and maintains extensive international collaborations with institutions including Kavli Institute for Systems Neuroscience, RIKEN Center for Brain Science, University of Tsukuba, Juntendo University, and several European universities. Professor Molinas' research interests center on developing innovative EEG technologies, particularly her FlexEEG concept for reduced-channel EEG systems with brain imaging capabilities. Her work integrates signal processing, artificial intelligence, and neuroscience to create practical applications in mental health, sleep research, neurorehabilitation, and human-computer interaction. She specializes in EEG source imaging, machine learning for brain signal analysis, and the development of brain-computer interfaces for various applications including locked-in syndrome communication, ADHD treatment, and driver monitoring systems. Her publication portfolio demonstrates strong trends in interdisciplinary research combining neuroscience with electrical engineering and artificial intelligence. The work shows particular emphasis on developing practical EEG-based systems that minimize invasiveness while maintaining analytical power, with applications spanning healthcare, rehabilitation, and human augmentation. Her research bridges theoretical signal processing with real-world implementations through numerous student projects and international collaborations. Professor Molinas actively supervises a large team of Master's and PhD students across multiple projects, with each project typically requiring two students working collaboratively. Her research is supported through numerous international collaborations with institutions in Japan, India, and Europe, indicating substantial research funding and project leadership. She has developed a pipeline of student projects that build upon previous work, creating a cumulative knowledge base within her research group. She leads the EEG ITK research team at NTNU, which focuses on developing the FlexEEG headset prototype featuring flexible, wireless, dry electrodes designed to move across the scalp. This team works at the intersection of neuroscience, electrical engineering, and computer science, developing applications for sleep research, mental health monitoring, neurorehabilitation, and brain-computer interfaces. The team collaborates extensively with international partners including the Kavli Institute for Systems Neuroscience, the International Institute of Integrative Sleep Medicine at University of Tsukuba, and several engineering departments across Europe and Asia.

• Disaster Risk Reduction
• Crisis Management
• Anticipatory Governance
• +۴ مورد دیگر

Reidar Staupe is an Associate Professor in Public Safety at the Department of Technology and Security, UiT The Arctic University of Norway. He previously held a Marie Skłodowska-Curie Individual Fellowship (2020-2022) at Roskilde University, Denmark. Research Interests: His work bridges civil security, disaster risk reduction, and anticipatory governance. Key themes include: Temporalities of crisis perception and response Cultural/political impacts of disaster declarations Creeping crises (AMR, climate change) Disaster terminology evolution Wind power development conflicts Polycrisis dynamics Publication Trends: Recent articles (2022-2025) explore the interplay between societal security, slow-onset disasters, and interdisciplinary collaboration. His work appears in journals like Time & Society , Policy & Politics , and International Journal of Disaster Risk Reduction , with forthcoming books on doomscrolling and global crisis cooperation. Scientific Awards: Marie Skłodowska-Curie Individual Fellowship Teaching: Courses include SVF-3202 Crisis Management SVF-3616 Crisis and Disaster Management His research group The Grey Zone – Secure Societies examines security narratives in crisis contexts.

Steinar Aasمشاهده پروفایل

استاد

• Urban History
• Urban Planning
• World War II History
• +۱۱ مورد دیگر

Steinar Aas is a Professor at Nord University since 2012, specializing in modern Norwegian and European history with a particular focus on World War II memory studies. He holds a Dr.artium degree from the University of Tromsø (UiT) obtained in 2007. His academic career spans several institutions including the University of Tromsø where he served as Senior Consultant (1993-1998), Researcher for Narvik municipality (1998-2001), Office Manager of the Department of History (2001-2010), and Researcher at University College Bodø/University of Nordland (2010-2012) before joining Nord University. Professor Aas's educational background includes his doctoral work at UiT completed in 2007. His extensive academic journey reflects deep engagement with Northern Norwegian history and institutions. His research focuses on the interwar period, urbanization and urban life, urban planning, modernization processes, polar history, political history, and the use of history through memory studies. His work particularly emphasizes Second World War experiences in Norway. His expertise spans diverse areas including Urban History/Planning, Bodø during WWII, European History, Fascism/National Socialism, History Didactics, War History, Women/Gender History, Local and Regional History, Memory Studies, Modern and Norwegian History, High North Studies, Polar/Circumpolar History, Social History, and Labor History. Professor Aas's recent publications (2023-2024) demonstrate a strong focus on Northern Norwegian urban development, particularly Bodø, with numerous works examining small town urbanization from historical and contemporary perspectives. He has made significant contributions to understanding polar exploration history, particularly regarding Roald Amundsen and Umberto Nobile's expeditions, as well as the complex history of Narvik during WWII and the interwar period. His work often intersects urban studies with memory studies, examining how historical events shape contemporary urban identity. Professor Aas is actively engaged in public discourse, frequently contributing to local newspapers like Avisa Nordland with historical commentary on contemporary issues, demonstrating his commitment to historical dissemination beyond academic circles. His work bridges academic research and public understanding of history. His academic advising and potential research grants are not explicitly detailed in the available information, though his extensive publication record suggests active mentorship and research leadership. His work on the history of Bodø and Northern Norway represents a significant contribution to regional historical scholarship while connecting to broader European and global historical narratives.

Ola Andres Erstadمشاهده پروفایل

استاد

• Digital Literacy
• Educational Technology
• Learning Sciences
• +۲ مورد دیگر

Ola Andres Erstad is a tenured Professor and Dean of the Faculty of Educational Sciences at the University of Oslo , with over three decades of academic leadership and research excellence. Specializing in Digital Literacy , Educational Technology , and Learning Sciences , his work bridges formal/informal learning and explores the sociocultural impacts of digital platforms on education. Academic Tenure: Professor (2008–present), Visiting Professor (UC San Diego, 2010–2011) Leadership: Institute Director (2015–2020), National PhD School Leader (2012–2014) Research Themes include: Digital Competence: Analyzing consequences of digitalization on youth education Learning Lives: Tracking cross-contextual educational trajectories in Groruddalen Platformization: Investigating digital platforms' impact on pedagogical structures Recent Publications (2022–2025) focus on dialogic learning in polarized societies, digital family ecosystems , and multimodal literacy . His international collaborations span Portugal, Denmark, and the U.S., with projects funded by NFR , COST Actions , and Science Europe . Currently leading the PlatFams initiative, Erstad explores cross-generational digital integration.

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +۱۱ مورد دیگر

Jianhua Zhang is a Professor of Computer Science and founding deputy head of the AI Lab at the Department of Computer Science, OsloMet - Oslo Metropolitan University, Norway. He holds affiliations with the Faculty of Technology, Art and Design. His career includes roles as Scientific Director at Vekia (France), Head of Machine Learning Lab, and Professorships at East China University of Science and Technology and Beijing University of Technology. He has held visiting positions at TU Berlin, TU Dresden, and the University of Catania. Educations: PhD in Electrical Engineering and Information Sciences (Ruhr University Bochum, 2005), Postdoctoral Research at the University of Sheffield (2005-2006). Research focuses on artificial intelligence, computational intelligence, cognitive human-machine systems, neuroergonomics, affective computing, and AI-driven neuroergonomics. Applications span engineering, biomedicine, finance, and business. He has led over 20 large-scale projects and published extensively (4 books, 13 chapters, ~200 papers). Leadership roles include Chair of IFAC Technical Committee on Human-Machine Systems (2017-2023), Vice Chair of IEEE Norway Section, and editorial roles at journals like Frontiers in Neuroscience and Cognitive Neurodynamics . He organized major conferences like IFAC HMS2025 (Beijing) and ICMLT 2024 (Oslo). Awards: Stanford/Elsevier Top 2% Scientists (2023/2024), Senior Research Fellowship (CSC, 2012), Max Planck Fellowship (2011), Shanghai Pujiang Talent (2007), DAAD Scholarship (2002-2004). Grants and advising: PI for 20+ projects, advising PhD students in AI, machine learning, and control systems. Teaching includes courses on computational intelligence, IoT, and fuzzy systems at both undergraduate and graduate levels. Labs/Teams: AI Lab at OsloMet, Machine Learning Lab (Vekia), and collaborations with institutions globally. Current work emphasizes AI ethics, neuroergonomics in smart cities, and adaptive human-machine systems.