Find Academic Supervisors

Polyxeni VasilakopoulouView profile

Professor

• Information Systems
• Digital Transformation
• AI Ethics
• +5 more

Polyxeni Vasilakopoulou is a Professor at the Department of Information Systems, University of Agder. She holds a PhD from the National Technical University of Athens and MSc from Columbia University. Her research focuses on ICT-enabled interventions, digital infrastructure governance, and data-driven value creation. She leads research groups including CeDiT (Centre for Digital Transformation) and Human-Centered AI (HCAI). Education: PhD, Industrial Management & Operational Research (2012), National Technical University of Athens MSc, Industrial Engineering & Operations Research (1997), Columbia University Engineering Diploma (1995), Technical University of Crete Research Themes: (1) Dynamics of digital infrastructures, (2) Digitalization of work processes, (3) Design-oriented studies with user-centric focus. Key focus on data-driven value creation and control dynamics. Recent work addresses AI ethics, human-AI collaboration in public services, and responsible AI frameworks. Teaching includes undergraduate courses on Digital Interaction Design, IS Project Management, and graduate-level IS research methods. Contributes to national PhD programs in eHealth and Information Systems theories. Her publications span leading journals like Communications of the AIS and Information and Organization , with recent emphasis on AI accountability, transparency, and societal impacts. Active in research communities through editorial roles in Scandinavian Journal of Information Systems and conference program committees. Consulting background (1997-2009) in operations optimization and decision support systems for banking sectors provides practical grounding to her academic work.

• Systems Biology
• Semantic Web
• Knowledge Management
• +5 more

Martin Kuiper is a Professor in Systems Biology at the Norwegian University of Science and Technology (NTNU). He transitioned from industry to academia in 2008, previously working at VIB Institute in Gent, Belgium. His research focuses on integrating biological knowledge using ontologies, semantic web technologies, and logical modeling. The Kuiper lab develops tools like BioGateway and CausalBuilder, and contributes to initiatives such as DrugLogics and GRECO/GREEKC. Education: M.Sc. (1982) and PhD (1987) in Biology from the University of Groningen, followed by postdoctoral work at Ohio State University and Utrecht University. Career highlights include roles in industry (KeyGene NV, GenScope, Aventis CropScience) before joining academia. Research interests emphasize knowledge management, bioinformatics tools, and systems biology approaches to drug development and gene regulation. Key projects include modeling drug resistance in colon cancer (COLOSYS) and advancing causal interaction standards (MI2CAST). Publications span bioinformatics, computational biology, and systems medicine, with contributions to journals like iScience , Nucleic Acids Research , and Bioinformatics . Collaborations involve interdisciplinary teams from medicine and humanities at NTNU. Lab activities include developing ontologies for gene regulation and drug target identification, with applications in cancer therapy and systems medicine. Active in open science initiatives like the Gene Regulation Knowledge Commons.

Jörn SchulzView profile

Associate Professor

• Statistical Shape Analysis
• Medical Imaging
• Computational Statistics
• +3 more

Jörn Schulz is an Associate Professor in the Department of Mathematics and Physics at the University of Stavanger, affiliated with the Faculty of Science and Technology. His research focuses on statistical shape analysis, medical imaging, and computational statistics with applications in neuroscience and biostatistics. Recent work includes studies on shape representation in medical imaging, rotational deformation analysis, and clinical studies related to Parkinson's disease and neonatal resuscitation outcomes. Key research areas include statistical methods for geometric data, non-Euclidean analysis, and interdisciplinary applications in healthcare. His publications span journals like Journal of Computational and Graphical Statistics, Medical Image Analysis, and Neurology. Notable contributions include developing shape analysis techniques for medical objects and analyzing clinical data from Parkinson's disease cohorts. Publications trends show strong focus on combining statistical theory with medical applications, particularly in imaging and patient outcomes. He has collaborated on projects involving newborn resuscitation protocols, elderly transitional care safety, and sleep pattern analysis in aging populations. His work frequently integrates advanced statistical modeling with real-world clinical challenges. Academic activities include presentations at conferences such as DAGStat and ERCIM, and involvement in projects like the Safer Births initiative. Despite not explicitly listing awards, his extensive publication record reflects significant contributions to statistical methodology and medical data analysis.

• Quantum Physics
• High-Energy Physics
• Theoretical Physics
• +4 more

Alexander Karl Rothkopf is affiliated with the University of Stavanger (UiS), where he holds a position in the Department of Mathematics and Physics under the Faculty of Science and Technology. His research focuses on quantum systems, particularly real-time dynamics of strongly coupled systems like the quark-gluon plasma. He employs lattice QCD, Bayesian inference, and machine learning techniques for non-perturbative studies. Key projects include developing discretization schemes, machine-learning enhanced spectral extraction, and real-time simulation strategies. Rothkopf teaches courses on mechanics, quantum mechanics, and lattice-based simulations. His work bridges theoretical physics with computational methods, addressing challenges in heavy quark dynamics and open-quantum systems. Recent research highlights include exact symmetry conservation in numerical methods, novel discretization techniques for quantum systems, and machine learning applications for complex Langevin simulations. He collaborates internationally with institutions like Brookhaven National Laboratory (BNL) and Linköping University. His contributions span journals such as Journal of Computational Physics and Physical Review D , emphasizing computational physics and high-energy theory. Presentations include talks at the International Symposium on Lattice Field Theory and Nordic Lattice Meetings. Despite no explicit awards listed, his prolific publication record underscores his impactful research in theoretical and computational physics. Education: Advanced training in theoretical physics, likely including a PhD in a related field (details not explicitly provided). Grants/Advising: Leads projects funded by UiS collaborations; advises students on lattice simulations and real-time dynamics (specific grant details not listed). Labs/Teams: Involved in interdisciplinary teams focusing on lattice QCD, computational methods, and open-quantum systems at UiS and partner institutions.

• Robotics
• Human-Robot Interaction (HRI)
• Machine Learning
• +5 more

Weria Khaksar is an Associate Professor at the Department of Mechanical Engineering and Technology Management at the Norwegian University of Life Sciences (NMBU), Faculty of Engineering, Science and Technology. Her research focuses on advanced robotics applications, particularly in healthcare, navigation, and sensor technologies. She specializes in Human-Robot Interaction (HRI), Machine Learning, and SLAM (Simultaneous Localization and Mapping) systems. Her work addresses ethical challenges in care robotics, privacy-preserving algorithms, and the integration of autonomous systems in healthcare and agriculture. Key research interests include: Development of care robots for elderly healthcare environments Integration of vision-based sensors and multi-modal datasets for human monitoring Optimization of motion planning algorithms using reinforcement learning and MPC Ethical and privacy considerations in human-robot collaboration Agricultural robotics for precision farming and forest mapping Her recent work (2021–2025) emphasizes: A qualitative review of 20 European elderly care robotics projects Advances in privacy-preserving HRI through multi-modal data Real-time SLAM systems for GNSS-interrupted environments Collision-free manipulation strategies for robotic arms No scientific awards are explicitly mentioned, but her extensive publication record demonstrates significant contributions to robotics research. She has advised no formally listed students, but her work engages interdisciplinary teams across engineering, healthcare, and environmental science. Her research is applied in: Robotics labs focusing on care systems and precision agriculture Multi-sensor integration for autonomous navigation Development of ethical frameworks for care robots

• Intelligent Transport Systems
• Transport Electrification
• Traffic Flow Theory
• +4 more

Chaoru Lu is an Associate Professor of smart mobility at the Department of Civil Engineering and Energy Technology, Oslo Metropolitan University. His expertise spans intelligent transport systems, transport electrification, autonomous vehicles, and traffic flow theory. He holds a Ph.D. from Iowa State University (2017), an M.S. from Texas A&M University-Kingsville (2014), and a B.S. from Hunan University of Science and Technology (2011). Research focuses on optimizing transport systems through interdisciplinary approaches, including electric vehicle safety analysis, autonomous vehicle coordination, and sustainable infrastructure planning. He leads projects like the Net-Zero Future initiative to reduce the built environment’s carbon footprint. His work integrates AI, machine learning, and data-driven modeling to address modern transport challenges. Publications span over 39 peer-reviewed articles, covering topics like electric bus fleet management, autonomous vehicle tracking algorithms, and pandemic impacts on mobility. He collaborates with institutions globally, contributing to both academic and applied transport solutions. Research Groups: Transport, Infrastructure, and Urban development (TransFrUrban) Grants/Projects: Ongoing leadership in the Net-Zero Future project.

Bjørnar Karlsen KivedalView profile

Associate Professor

• Housing economics
• Macroeconomics
• Climate economics
• +3 more

Bjørnar Karlsen Kivedal is an Associate Professor in Economics at Østfold University College and a Postdoctoral Researcher at Housing Lab. He holds a Ph.D. in Economics from the Norwegian University of Science and Technology (2013). His research focuses on applied econometrics in macroeconomics, housing markets, and climate economics, with particular attention to the interplay between Airbnb, tourism markets, and regional economic development. Education: Ph.D. in Economics (NTNU, 2013). Research interests include housing economics (e.g., policy regulations, price bubbles, disaster impacts), macroeconomic trends, climate policy implications, and the sharing economy’s socio-economic effects. He employs agent-based modeling and econometric analysis to study complex systems like housing markets and tourism dynamics. Key publications explore Airbnb’s regional tourism impacts, cross-border shopping tourism asymmetries, and the interplay between policy and behavioral changes during crises like the 2020 pandemic. His work bridges empirical analysis with policy relevance, often collaborating with institutions like Housing Lab on projects such as debt demand heterogeneity and social housing policy. Current projects include studies on natural disasters and housing markets, land restrictions in bubble formation, and the Environmental Kuznets Curve for CO2 emissions. His interdisciplinary approach combines economic theory with computational modeling and real-world data.

• Low Carbon Concrete
• Sustainability
• Concrete Structures
• +4 more

Prof. Gro Markeset is a Professor at the Department of Built Environment, Faculty of Technology, Art and Design at Oslo Metropolitan University. Her research focuses on low carbon concrete, sustainability of infrastructure, durability and service life assessment of concrete structures, and corrosion mitigation. She leads the Structural Engineering Research Group (SERG) and has contributed to over 24 scientific publications since 1993. Her work spans experimental and numerical investigations into corrosion effects on concrete structures, alkali-silica reaction (ASR) impacts, and offshore concrete durability. Key projects include residual service life assessments of North Sea structures and greenhouse gas emissions analysis for net-zero infrastructure. Publications highlight advancements in pretensioned bridge girder analysis, ASR-induced stress modeling, and stainless steel reinforcement applications. She actively engages in international conferences like the Net-Zero Built Environment and Concrete Repair, Rehabilitation and Retrofitting events. Prof. Markeset collaborates with institutions like SINTEF and contributes to industry guidelines (e.g., 2006 guide on stainless steel reinforcement). Her research bridges academic innovation with practical solutions for sustainable construction and infrastructure longevity.

• Universal Design of ICT
• Human-Computer Interaction
• Welfare Technology
• +6 more

Professor Weiqin Chen is a faculty member at the Department of Computer Science, Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design. Their research focuses on Universal Design of ICT, Human-Computer Interaction, and Welfare Technology with emphasis on accessibility, emergency management systems, and inclusive education technologies. Key projects include the CHIP homeTec initiative exploring health technologies in pediatric palliative care and the SCALED project developing adaptive online learning platforms. Research interests span AI trustworthiness, elderly-centered AR design, situational disability awareness in emergencies, and digital accessibility in museums/education. They lead the Universal Design of ICT (UD-ICT) research group and have published over 172 scientific works including a textbook on ICT history. Notable contributions include heuristic evaluations of mobile apps for mental health, policy frameworks for inclusive education, and privacy engineering for learning analytics systems. Prof. Chen actively engages in dissemination through international conferences like ICCE and ICCHP, advocating for policy changes and teacher training in accessibility. Their work bridges technical innovation with societal needs, emphasizing participatory design approaches involving users with disabilities and marginalized groups.

• Artificial Intelligence
• Machine Learning
• Graph Neural Networks
• +5 more

Gustavo Borges Moreno e Mello is an Associate Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. Based in office SG209 at Stensberggata 29, Oslo, he actively contributes to the Applied Artificial Intelligence research group with focus on cutting-edge computational methodologies. His research spans artificial intelligence with emphases on graph neural networks, multilingual NLP, reinforcement learning, and medical imaging. Key interests include developing propagation schemes for GNNs, cross-lingual BERT adaptations, rodent fMRI analysis, and empathy assessment in human-computer interaction systems. His work bridges theoretical AI with practical healthcare and communication applications. Analysis of his 2020-2024 publications reveals strong thematic continuity in neural architecture design, particularly HITS-GNN variants for graph analytics and time-representation models. Recent work increasingly integrates neuroscience principles with reinforcement learning while maintaining Nordic language processing applications, notably in English-Norwegian BERT alignment. No information regarding graduate student supervision or research grants was found in the provided materials. He maintains active collaboration within OsloMet's Applied Artificial Intelligence research group, focusing on interdisciplinary projects that connect computer vision, natural language processing, and neuro-inspired computing with real-world healthcare and communication challenges.

• Artificial Intelligence
• Machine Learning
• Applied Artificial Intelligence
• +2 more

Umair Mehmood Imam serves as an Assistant Professor in the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. His office is located at Pilestredet 35, 0166 Oslo (Office PS223), with contact details including email umair.mi@oslomet.no and office phone +47 672 38 681. His research centers on Artificial Intelligence, with specific emphasis on applied methodologies and machine learning systems. As a core member of the OsloMet AI Lab and the Applied Artificial Intelligence research group, his work bridges theoretical AI concepts with practical implementations. Key focus areas include algorithm development for real-world problem-solving and interdisciplinary AI applications. Dr. Imam teaches the foundational course "Introduction to Artificial Intelligence" (DAVE3625), contributing to OsloMet's computer science curriculum. His academic activities are anchored within the university's strategic AI research initiatives, particularly through the OsloMet AI Lab's collaborative framework.

Anthony Junior BokoloView profile

Researcher

• Smart City Ecosystems
• Distributed Ledger Technologies
• Sustainable Mobility
• +2 more

Anthony Junior Bokolo is a Researcher at Østfold University College's Department of Computer Science and Communication, concurrently serving as Senior Researcher at the Institute for Energy Technology. His research develops AIoT frameworks for sustainable smart cities, focusing on energy-sharing communities and decentralized mobility services. He holds a PhD in Computer Science from University Malaysia Pahang. Publications demonstrate consistent focus on DLT interoperability, data sovereignty in urban systems, and citizen-centric mobility solutions. Research integrates enterprise architecture with sustainability goals. Active projects include: Data Governance for Human-Centric Mobility (CRC Press 2025) ICT Ecosystem Architecture for +CityxChange (2021)

Cathrine LinnesView profile

Associate Professor

• Digital Society
• Sustainable Tourism
• Economic Sustainability
• +3 more

Dr. Cathrine Linnes is an Associate Professor at Østfold University College's Department of Computer Science and Communication, with cross-disciplinary expertise in digital society, sustainable tourism, and educational technology. Her research examines technology-driven transformations across industries including tourism, education, and maritime logistics. Education includes: PhD in Information Systems MS in Information Systems MBA Graduate Certificate in Distance Education Research focuses on digital innovation in crisis response, sustainable tourism development, and technology-enhanced learning. Recent publications analyze COVID-19 impacts on higher education, digital transformation in hospitality, and economic sustainability in island destinations. Research demonstrates consistent themes of technological adaptation, consumer behavior analysis, and sustainability metrics. Honors include Distinguished Fellow of International Academy of Business (2017) and Golden Apple Teaching Award (2015). At the Learning Center, develops faculty training programs on digital pedagogy and assessment systems like Inspera. Professional memberships include Upsilon Pi Epsilon and ACM-ICPC.

Elia GabarronView profile

Associate Professor

• Digital Health
• Mental Health Interventions
• Social Media Analytics
• +2 more

Elia Gabarron is an Associate Professor at Østfold University College's Department of Education, ICT and Learning. With a PhD in Health Sciences from Arctic University of Norway, her research bridges digital health, autism studies, and behavioral science. She serves as Associate Editor for BMC Digital Health and BMC Medical Informatics. Research explores: AI-driven mental health interventions and ethical implications Social media's role in autism perception and community building Chatbot designs for physical activity promotion Misinformation diffusion during health crises Recent work examines digitalovigilance frameworks for identifying unintended consequences of health technologies. Collaborations include Bern University, Mayo Clinic, and Queen's University Belfast. Publications demonstrate consistent focus on participatory design methodologies and digital equity considerations.

• British literature
• Literature didactics
• Narrative theory
• +6 more

Britt Wenche Svenhard is a Professor at the Department of Languages, Literature and Culture at Østfold University College. Her research focuses on British literature, narrative theory, film adaptation, and innovative language teaching methodologies such as CLIL (Content and Language Integrated Learning). She actively contributes to educational policy through roles like Adviser for English at the Norwegian National Centre for Foreign Languages in Education (2005–2012), and serves on the steering committee for the ETOS project evaluating bilingual training opportunities in schools. Her research interests span multiple dimensions: Analysis of narrative structures in literature and film adaptations Pedagogical innovations in online language teaching Critical examination of cultural representation in media (e.g., Disney's Encanto) Publications highlight thematic trends in Adaptation studies (Ibsen, Lewis Carroll, Michael Winterbottom) Paratextual analysis in contemporary films CLIL implementation strategies She is a member of key academic communities including the Literature and Narrativity research group and the International Society for the Study of Narrative , contributing to both theoretical discourse and practical education reforms.