جستجوی استاد راهنمای دانشگاهی

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.

• Disaster Risk Reduction
• Crisis Management
• Anticipatory Governance
• +۴ 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.

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

Joao Carlos Amaro Ferreira is a Professor at the Faculty of Logistics, Molde University College (HiMolde), Norway. He holds PhDs in Computer Engineering and Industrial Engineering from the Technical University of Lisbon and the University of Minho, respectively. His research focuses on Artificial Intelligence (AI) applications in healthcare, energy, transportation, IoT, blockchain, and smart cities. He has led over 40 projects, including 6 as Principal Investigator, and contributed to international conferences like OAIR and INTSYS. He served as IEEE CIS President (2016-2018) and is an IEEE Senior Member since 2015. His academic contributions span AI-driven solutions for public sector informatics, healthcare data quality, and cybersecurity. He actively participates in European projects such as e-Hospital4Future and explores blockchain applications in supply chains and medical records. Ferreira leads the ABC-AI research group, emphasizing ethical and applied AI. His work bridges academia and industry through projects like gamification systems for eco-driving and AI in fisheries traceability. Recent publications highlight AI's role in cardiovascular disease detection, emergency department optimization, and blockchain-enhanced healthcare interoperability. He collaborates internationally, co-editing journals like Applied Sciences , and has authored patents in edge computing for maritime monitoring.

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

Professor Yngve Karl Frøyen works at the Department of Architecture and Planning, Faculty of Architecture and Design, Norwegian University of Science and Technology (NTNU). With expertise in sustainable transport solutions, urban spatial modeling, and GIS applications for planning, he has taught and supervised urban and regional planning topics since 2010. His work spans multiple master programs and involves improving transport modeling tools for walking, transit, and bicycling modes. Research Focus: Sustainable urban transport (walking, bicycling, public transit), urban density, GIS methods, land use-transport interactions, and urban logistics. Teaching: Courses in GIS methods, land use-transport integration, regional planning, and master thesis supervision. Publications: 15+ works on transport modeling, urban density impacts, bicycle infrastructure, and planning methodology. Outreach: Regularly presents at conferences and seminars on topics like urban logistics, walking modeling, and transport policy. His academic career spans from 1981 civil engineer graduation to current professorship, with prior roles at Norwegian Institute of Urban and Regional Research (NIBR) and SINTEF. He combines technical GIS proficiency with policy-oriented planning expertise.

• Sustainable transport planning
• Urban spatial modeling
• GIS applications in planning
• +۳ مورد دیگر

Hans Petter Hildre is Head of Department at the Department of Ocean Operations and Civil Engineering , part of the Faculty of Engineering at the Norwegian University of Science and Technology (NTNU). His work focuses on maritime engineering, digital twin technology, and marine operations. Research interests include: Digital Twin Applications in Maritime Industry Offshore Operations and Wind Turbine Installation Marine Robotics and Autonomous Systems Wave Field Estimation and Environmental Load Analysis Human-Machine Interaction in Maritime Contexts Co-simulation and Real-time Monitoring Recent publications highlight trends in: Wave shielding effects for offshore vessels Knowledge transfer from automotive/aviation to maritime Crane path planning using digital twins Visual attention zone recognition systems Hydrodynamic modeling and sensitivity analysis Smart city-maritime integration Scientific collaborations span institutions including: European Commission (Future Skills Reports) Royal Institution of Naval Architects The American Society of Mechanical Engineers (ASME) IEEE Transactions on multiple domains Springer Publishing

• Maritime Engineering
• Digital Twin Technology
• Marine Robotics
• +۳ مورد دیگر

Lisa Hansson is a Professor of Community Planning at Molde University College, specializing in urban governance and transport policy. She is affiliated with the Logistics Department and actively contributes to sustainable mobility, socio-technical change, and multi-level governance research. PhD in Science and Technology Studies (2011), Linköping University MSc in Political Science/Public Administration (2005), Gothenburg University BA in Human Geography/Urban Planning (2003), Karlstad and Gothenburg Universities Her research focuses on sustainable transport systems, visual representation in planning, and policy adaptation. She leads externally funded projects like LEAD (Digital Twins for logistics) and SNAPSHOT (e-commerce transport), with partners including SINTEF and K2 Sweden. Her work bridges political science and transport governance, challenging economic-technical discourses. Recent articles analyze equity in 15-minute city planning, social justice in transport protests, and regulatory governance for autonomous vehicles. She chairs the WCTRS SIG G1 Transport Governance group and serves on the Thredbo Conference Committee. 2023: Co-authored Public Participation in Transport in Times of Change (Emerald) 2021: Chapter on Transport Policy and Governance (Elsevier) 2020: Editorial in Transportation Research Part A Lisa teaches MA/BA courses like Smart Mobility, European Transport Policy, and Future Cities. She supports Master’s and PhD research in sustainable urban development and transport policy.

• Transport Policy and Governance
• Urban Sustainable Transport/Mobility
• Socio-technical Change
• +۳ مورد دیگر

Debarun Sarkar is a Research Fellow affiliated with the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen. He works on the ALGOFOLK project, examining sociotechnical systems and material-semiotic configurations. His research spans digital culture, AI ethics, urban studies, and cultural studies, with a focus on India and the Global South. Research Interests: Debarun focuses on the intersections between algorithms and folklore, exploring how digital technologies shape labor, creativity, and social structures. He critically analyzes blockchain adoption in India, AI auditing frameworks, and the sociopolitical implications of smart/green city initiatives. His cultural studies work includes examining heavy metal subcultures and hip-hop’s role in capitalist realism. Projects: He was co-PI for Audit4SG (2023), funded by the Notre Dame-IBM Technology Ethics Lab, and contributed to a Learning Analytics in Higher Education project (2022-24). Current work involves the ALGOFOLK project (Research Council of Norway and Trond Mohn Foundation funding). Education: PhD in Sociology from the University of Mumbai, where he served as a UGC Junior/Senior Research Fellow. His doctoral work engaged with urban scale debates in New Town, West Bengal.

• Digital Humanities
• AI Ethics
• Cultural Studies
• +۷ مورد دیگر

Marte Cecilie Wilhelmsen Solheim is Professor of Innovation and Vice-Rector for Innovation and Society at the University of Stavanger (UiS), Norway. She is affiliated with the UiS Business School’s Department of Innovation, Management and Marketing and serves on the steering committee of UiS Smart Cities and the national Research Network for Smart Sustainable Cities. Education: PhD in Innovation Studies, University of Stavanger, defended January 2017 with the thesis Innovation, Space, and Diversity . Opponents: Prof Ron Boschma & Assoc Prof Abigail Cooke. Supervisors: Prof Rune Dahl Fitjar & Prof Ragnar Tveterås. Research Interests: Solheim’s research sits at the intersection of innovation studies, economic geography and organisational theory . She investigates how workforce diversity —spanning migration background, gender, education and work experience— drives innovation, export performance and regional development . Specific themes include: Foreign-born workers as catalysts for innovation and international market access. Combinatorial innovation arising from diverse knowledge pools. Gendered and geographical variations in diversity–innovation links. Smart cities, responsible innovation and digital transformation in times of crisis. Publication Trends: Across more than 40 peer-reviewed works since 2016, Solheim has advanced large-scale quantitative analyses of Norwegian employer–employee data, qualitative case studies of energy-sector transformation and conceptual pieces on migration and innovation policy. Recent strands explore post-COVID digitalisation, eco-innovation geography, immigrant entrepreneurship and gender bias in venture-capital decisions , consistently emphasising inclusive innovation. Scientific Awards & Recognition: 2021 Competence Sharing Prize – Stavanger-region Chamber of Commerce, for outstanding dissemination of research to business and society. Member, Academy of Young Researchers in Norway . Regional Studies Association (RSA) Ambassador to Norway . Advising & Funding: Solheim presently supervises two PhD candidates— Xiangyu Quan (Smart Cities, Innovation & Policy) and Alina Meloyan (Universities & Regional Development). She has led or partnered in numerous national and international research and consultancy projects, frequently serving as expert advisor to Norwegian ministries, the Confederation of Norwegian Enterprise (NHO) and regional development agencies. Labs & Teams: She is an active member of the Research Network for Smart Sustainable Cities and sits on the steering committee for Smart Cities initiatives at UiS , fostering cross-disciplinary collaboration between business, engineering and social-science scholars.

• Innovation Studies
• Workforce Diversity and Innovation
• Economic Geography
• +۵ مورد دیگر

van Khang Huynh is a Full Professor in Mechatronics and Energy Systems at the Department of Engineering Sciences , University of Agder , Norway. He is also a member of the Norwegian Academy of Technical Sciences (NTVA) and has served as an Associate Editor for IEEE Transactions on Transportation Electrification . Education: D.Sc. in Electromechanics & Electric Drives, Aalto University, Finland (2012) M.Sc. in Power Electronics and Motor Drives, Pusan National University, South Korea (2008) B.Sc. in Electrical Power Engineering, Ho Chi Minh City University of Technology, Vietnam (2002) Research Focus: His research spans applied AI in condition-based maintenance , electrical machines , power electronics , design optimization , finite element analysis , and smart energy systems . He leads the Intelligent monitoring research group and is a member of the Energy systems , Intelligent mechatronics (iTron) , and Machine design groups. Projects & Funding: Enhancing Capacity in Condition-based Maintenance of Wind Energy (ECO-WIND) Performance and Health Monitoring of Hydroelectric Power Plants Analytics for Asset Integrity Management of Windfarms Industrial Internet methods for electrical energy conversion systems monitoring and diagnostics Operational Management in Interconnected Renewable Resources with ICT Compact Electric Winches PhD Supervision: He has successfully supervised 8 PhD dissertations and mentored 2 additional PhD projects , all in areas related to mechatronics, renewable energy, and intelligent systems. Labs & Teams: He leads the Intelligent monitoring research group and collaborates closely with the Energy systems , Intelligent mechatronics (iTron) , and Machine design groups at the University of Agder.

• Applied AI in condition-based maintenance
• Electrical machines
• Power electronics
• +۳ مورد دیگر

Timo Szczepanska is a postdoctoral researcher at UiT The Arctic University of Norway , affiliated with the Norwegian College of Fishery Science . With expertise in computational modeling and social simulation, Szczepanska contributes to interdisciplinary research bridging technology, environmental science, and urban systems. Current member of the CRAFT research group Active participant in the FUTURES4Fish project Published extensively in journals like JASSS and Frontiers in Marine Science Research Focus: Szczepanska's work explores urban complexity through participatory simulations, develops agent-based models for human behavior analysis, and investigates climate change impacts on fisheries. Key methodological contributions include model reimplementations and integrating creative writing with future scenario planning. Recent Article Trends: Recent publications demonstrate a dual focus on decarbonisation strategies for urban mobility and innovative approaches to fisheries governance under climate change. Methodologically, Szczepanska combines agent-based modeling with game design and creative worldbuilding across multiple domains. Collaborative Networks: Collaborates with international researchers across institutions including Radboud University, Potsdam University of Applied Sciences, and various European research groups. Specializes in translating complex systems into interactive pedagogical tools and policy-relevant simulations. Technical Expertise: Proficient in computational platforms like NetLogo and Unity, with particular emphasis on model documentation, validation, and interdisciplinary translation of technological futures.

• Agent-Based Modeling
• Social Simulation
• Urban Systems
• +۳ 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.

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

Professor Adil Rasheed is affiliated with the Department of Engineering Cybernetics at the Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His work focuses on integrating data-driven methods with physics-based modeling to create reliable hybrid systems for high-stakes applications. Research Interests : Bigdata Cybernetics, Hybrid Analytics / Modeling, Artificial Intelligence, Reduced Order Modeling, Computational Fluid Dynamics, Wind Energy, Autonomous Vessels, and Safe Reinforcement Learning. Digital Twin Applications : Professor Rasheed leads projects in Digital Twin technology for wind energy and smart greenhouses. His work includes autonomous marine navigation, federated learning for Industrial IoT, and predictive maintenance in offshore wind turbines using integrated data-driven models. Collaborative Efforts : He collaborates with industry partners on digital twin syncing for autonomous vessels, thermal zoning algorithms for building control, and anomaly detection in multivariate time series. His publications highlight the use of transformers, federated transfer learning, and corrective source terms in hybrid modeling.

• Bigdata Cybernetics
• Hybrid Analytics / Modeling
• Artificial Intelligence and Machine Learning
• +۱۰ مورد دیگر

Knut Bjarne Hidle is a Professor in the Department of Geography at the University of Bergen, Faculty of Social Sciences. His research spans human geography, with a focus on mobility, migration, place, and spatial development. He is actively involved in academic research, supervision, and interdisciplinary collaboration. Department: Department of Geography University: University of Bergen Faculty: Faculty of Social Sciences Email: knut.hidle@uib.no Research Interests: Hidle's work centers on human geography, particularly mobility and migration, place and belonging, urban and rural development, second-home use, and governance. He investigates how individuals and groups experience place, especially in mobile and transnational contexts. His research combines cultural, economic, and political perspectives to understand spatial identities and planning processes. Recent Research Trends: His recent publications focus on gated communities, climate planning in Bergen, skilled migration, national parks and rural development, and second-home mobility. These works reflect a consistent engagement with place-making, territoriality, and the socio-political dimensions of mobility and planning in Norway and beyond. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: Hidle has supervised numerous master’s students, including theses on urban revitalization, second-home tourism, smart meters, and regional park development. He has contributed to multiple research reports, particularly through Agder Research and NORCE, on topics such as refugee integration, labor migration, and regional governance. These projects suggest sustained involvement in applied and policy-relevant research. Labs and Research Groups: He is affiliated with research groups in Environmental and Landscape Geography, Social Geography, and Human Geography at the University of Bergen. His collaborative work with scholars like Winfried Ellingsen and Arnt Fløysand indicates active participation in research networks focused on mobility, innovation, and regional development.

• Human Geography
• Mobility and Migration
• Place and Belonging
• +۷ مورد دیگر

Tom Rye is a Professor in Sustainable Urban Transport Policy and Planning at Molde University College , focusing on transport governance, smart urban mobility, and accessibility. He has extensive experience working across Europe, including roles in Sweden and the UK, and contributed to EU Sustainable Urban Mobility Plan (SUMP) guidelines. Research Areas : Parking management, sustainable mobility, accessibility, international policy comparison, concessionary fares, staff development. Projects : TRANSPOL (politician-citizen dynamics in sustainable transport), JiM (social/environmental justice in 15-minute city contexts). Research Groups : Sustainable Urban Development and Mobility , Transport Research Group (TRG) . His recent articles analyze public participation in transport planning, equity in urban mobility, and the implementation of sustainable practices across diverse governance structures. Key themes include social justice, policy uncertainty, and cross-border mobility planning. Collaborations : European Commission, World Bank, UK/Scottish/Swedish governments, private sector. Labs/Teams : Regular contributor to Transport Research Group (TRG) and Sustainable Urban Development and Mobility at Molde University College.

• Sustainable Urban Mobility Planning
• Transport Policy
• Urban Development
• +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.

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