جست‌وجوی استاد و پژوهشگر

Jordi Cabotمشاهده پروفایل

استاد مدعو

• Software Engineering
• Formal Verification
• Open Source Communities
• +۳ مورد دیگر

Jordi Cabot is an FNR Pearl Chair and Head of the Software Engineering RDI Unit at the ITIS Department of the Luxembourg Institute of Science and Technology (LIST). He is also an Affiliate Professor in Computer Science at the University of Luxembourg. Previously, he held roles including Research Professor at the Internet Interdisciplinary Institute (UOC, Spain), Visiting Professor at Western Norway University of Applied Sciences, and Associate Professor at École des Mines de Nantes. His research focuses on systems and software engineering, emphasizing the use of rigorous software models while addressing human dynamics in projects. Key areas include pragmatic formal verification, open source communities, open data exploitation, and AI's role in software development. He has co-founded two startups and led the SOM Research Lab at UOC. His work extends beyond academia through open-source tools and technology transfer. He has held prestigious positions such as an Inria International Chair and postdoctoral roles at the University of Toronto, Politecnico di Milano, and Technical University of Catalonia. Award highlights include the FNR Pearl Chair. Cabot’s contributions span R&D strategic advising, exploratory research for industry, and keynote speaking engagements. His initiatives aim to leverage all tools for creating 'Better Software Faster.'

• Software Engineering
• Cybersecurity
• IoT and Sensor Networks
• +۳ مورد دیگر

Assoc. Prof. Tosin Daniel Oyetoyan is affiliated with the Department of Computing, Mathematics, and Physics at the Western Norway University of Applied Sciences. His academic role focuses on software engineering, cybersecurity, and marine data systems. He leads research in software architecture design, IoT security, and environmental data management. His work bridges theoretical software principles with practical applications in marine technology and agile methodologies. Research Interests: Software architecture patterns for heterogeneous systems Cybersecurity in IoT and cloud environments Data observability and quality in marine sensor networks Empirical analysis of developer security practices API specification repositories and governance His recent publications (2020-2025) emphasize software systems for marine data observatories, cybersecurity in agile teams, and formal specification of environmental monitoring platforms. Noteworthy trends include cross-disciplinary approaches combining software engineering with environmental science. Scientific contributions include frameworks for threat analysis in IoT, empirical studies on developer security competencies, and modular smart ocean observatory designs. His work on data quality requirements for marine systems has informed international standards development. Current projects focus on: Formal specification of marine data platforms Executable architectures for environmental monitoring Agile security practices in distributed teams

Lucia Castro Herreraمشاهده پروفایل

استادیار

• Crisis Management
• Disaster Risk Management
• Social Media in Crisis Communications
• +۴ مورد دیگر

Lucia Castro Herrera is an Assistant Professor at the Department of Information Systems, University of Agder, Norway. She holds an MSc in Engineering Management (Crisis, Emergency, and Risk Management) from George Washington University and a BA in Political Science (Foreign Policy & Diplomatic Relations) from Universidad Externado de Colombia. Her research focuses on crisis management, social media in emergency contexts, and process improvement, with a particular emphasis on social media listening practices in public sector crisis operations. Education: MSc in Engineering Management (Crisis, Emergency & Risk Management), George Washington University BA in Political Science (Foreign Policy Studies), Universidad Externado de Colombia Research Interests: Crisis informatics, social media analytics in disasters, emergency management strategies, and organizational resilience. Her work explores how social media listening practices configure within crisis management frameworks to enhance situational awareness and operational continuity. Teaching: Courses include IS-112 (Service Design & Business Models) and IS-214 (Information Systems Security). Key Contributions: Developed frameworks for social media listening in crisis transitions Explored disability inclusion in digital information systems Advocated for process improvement in public sector emergency management Awards: None explicitly listed, but her work has been published in leading venues like ACM Transactions on Social Computing and ISCRAM conferences. Labs/Groups: Member of CIEM (Center for Integrated Emergency Management), focusing on interdisciplinary crisis research.

• Information and Communication Technology
• Disaster Management
• UAV-Assisted Data Collection
• +۳ مورد دیگر

Prasenjit Dhara is a Research Fellow at the Department of Information and Communication Technology within the University of Agder . He is affiliated with the CIEM - Centre for Integrated Emergency Management research group, focusing on ethical and safety challenges in technology-driven crisis scenarios. Research Focus : Prasenjit's work bridges Information and Communication Technology with Disaster Management , particularly investigating the implications of UAVs (Unmanned Aerial Vehicles) in emergency data collection. His research emphasizes ethical frameworks for drone usage in crises safety protocols for UAV-assisted operations data integrity in high-risk environments human-robot interaction during disasters Publications : His 2025 article at the International ISCRAM Conference highlights the intersection of robotics , emergency response , and data ethics . Contact : Email prasenjit.dhara@uia.no or call +47 37233179. Office located at A2122, Jon Lilletuns vei 9, 4879 Grimstad, Norway.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۴ مورد دیگر

Fabrizio Palumbo is an Associate Professor at the Department of Information and Communication Technology, University of Agder (UiA). His research spans artificial intelligence, machine learning, energy systems optimization, and computational neuroscience, with notable contributions to text classification, cybersecurity protocols, and zebrafish behavioral studies. He actively publishes in interdisciplinary venues including AI conferences and neuroscience journals. Key research areas include developing efficient neural network architectures for text analysis, exploring multilingual BERT models, optimizing energy storage systems via neural networks, and investigating neural mechanisms in zebrafish using behavioral protocols. His work bridges theoretical advancements with applied contexts, such as AI in investigative journalism and cybersecurity applications. Palumbo collaborates across disciplines, contributing to both technical and applied research. Notable recent publications address AI project methodologies in journalism and energy system optimization strategies.

Morten Goodwinمشاهده پروفایل

استاد

• Deep neural networks
• Natural language processing
• Computer vision
• +۲ مورد دیگر

Professor Morten Goodwin leads AI research at University of Agder's Department of Information and Communication Technology, serving as Deputy Director of the Centre for Artificial Intelligence Research (CAIR). With over 200 publications, his work focuses on deep neural networks for NLP, computer vision, and reinforcement learning. He develops interpretable AI frameworks for applications ranging from road quality detection to human activity recognition. His research bridges fundamental AI advances with practical implementations in healthcare, agriculture, and industrial systems. Awarded the NORA Prize for contributions to AI community building, he advises government bodies including the Norwegian Data Protection Board and Technology Council.

• Music Education
• Music Philosophy
• Jazz Studies
• +۳ مورد دیگر

Marius Lønskog Igland is an Assistant Professor in the Department of Classical Music and Music Pedagogy at the University of Agder. His roles include teaching popular music guitar, ensemble leadership, and instrumental methodology across various academic levels. He holds a Master's degree in Music (2015) and has extensive experience teaching in schools, private institutions, and higher education. His research focuses on music philosophy, particularly the intersection of music education, performance practices, and existential meaning. Key interests include improvisation, rhythm, entrainment, and listening. As a member of the Art and Young People research group, he contributed a chapter to the anthology Kunstens betydning? (2022). He also serves as academic coordinator in the FORTHEM European alliance's co-creation lab Art & Aesthetics in Contemporary Society , fostering artistic exchange in society. His musical career includes work with jazz ensembles like Mirage Ensemble and URO, releasing albums such as Memory Happens Now (2014) and OR (2017). He balances performance, composition, and research, emphasizing music's role in fostering human connection and civic engagement.

Mulugeta Weldezgina Asresمشاهده پروفایل

پژوهشگر

• Data Science
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Mulugeta Weldezgina Asres is a Researcher at the Department of Information and Communication Technology , University of Agder, Norway. His roles include developing large-scale anomaly detection systems for CERN detectors and advancing AI-driven industrial data analytics. He holds a Ph.D. in machine learning for non-intrusive load monitoring (NILM) and has prior academic experience at Mekelle University (Ethiopia) and Politecnico di Torino (Italy). Education: B.Sc. (Gold Medal) and M.Sc. (Gold Medal) in Computer Engineering from Mekelle University, followed by doctoral research at the Center for Artificial Intelligence Research (CAIR), Norway. His research focuses on time-series analysis, anomaly detection, IoT, and Industry 4.0 applications. Key research areas include multivariate time-series modeling, deep learning for anomaly prediction in high-energy physics detectors, and AI-powered industrial monitoring. He has contributed to projects at CERN, Telecom Italia, and automotive manufacturing, emphasizing data-driven solutions. Awards include Gold-Medal Awards for academic excellence in both B.Sc. and M.Sc. His work bridges theoretical machine learning with practical applications in energy efficiency, telecommunications, and particle physics instrumentation. Publications span IEEE journals and conferences, focusing on anomaly detection frameworks, NILM algorithms, and predictive modeling for industrial systems. Collaborations include institutions like CERN, Politecnico di Torino, and Midori srl, an energy efficiency startup.

Mathias Busekمشاهده پروفایل

پژوهشگر

• Microfluidics
• Organ-on-a-Chip
• Bioprinting
• +۳ مورد دیگر

Mathias Busek is a Researcher at the Hybrid Technology Hub within the University of Oslo's Faculty of Medicine. His work focuses on developing advanced microfluidic systems including organ-on-chip technologies, hypoxia modeling platforms, and 3D bioprinting applications. Dr. Busek designs pneumatically actuated microsystems and develops computational models for microfluidic network optimization. His research enables precise control of cellular microenvironments for applications in drug testing and disease modeling. Current projects investigate metabolic crosstalk between organs using pump-less recirculating platforms and develop analytical systems for organoid medium analysis compliant with FDA standards. Busek's publications demonstrate consistent innovation in microengineering approaches for biological applications, with recent advances in 3D-printed tooling for microfluidics and stem cell-derived tissue models. His work bridges engineering precision with biological complexity to create physiologically relevant in vitro systems. Major Scientific Awards: Fraunhofer Institute Award for Innovative Product Development (2017) European EARTO Innovation Award, 3rd Place (2018) Scientia II Fellowship - Marie Curie Co-fund Project (2019) Teaching & Supervision: Conducts practical training in microfluidics and lectures on organ-on-chip technology. No specific student advisees are named in source materials.

Stefan Schauberمشاهده پروفایل

دانشیار

• Health Professions Education
• Educational Measurement
• Psychometrics
• +۴ مورد دیگر

Stefan Schauber is an Associate Professor at the University of Oslo's Faculty of Medicine, where he is affiliated with the Unit for Health Sciences Education (HELP) and the Centre for Educational Measurement (CEMO). He maintains a long-standing collaboration with the Diagnostic Quality Lab at Inselspital in Bern, Switzerland. His work focuses on assessment in health professions education, applied educational measurement, and diagnostic error research. Dr. Schauber's primary academic interests center on measuring complex skills within health professions, particularly clinical knowledge, thinking, reasoning, communication, and practical skills. His research contributes to improving exams in health studies and enhancing understanding of diagnostic errors. He has extensive experience in psychometrics and quality assurance of exams, creating test statistical reports that help examination boards evaluate whether assessment items function as expected. His methodological expertise spans classical test theory, item response theory, and longitudinal modeling approaches applied to educational measurement. His recent publication record demonstrates a strong focus on diagnostic decision support systems, team performance assessment in healthcare, psychometric analysis of medical examinations, and the impact of educational approaches on learning outcomes. His work spans multiple international collaborations, particularly with Swiss and German institutions, reflecting the global relevance of his research in medical education and assessment methodology. Dr. Schauber has been actively involved in teaching researcher skills including academic writing, presenting, and communication. He conducts workshops on item-writing, test development, exam construction, and the R Language for Statistical Computing. His expertise in educational measurement has been applied across various contexts, from national licensing examinations to team performance assessment in emergency medicine. He is associated with several research projects including 'Competency assessment in medical education,' 'MonKeyMed - Monitoring of key indicators at the Faculty of Medicine,' and 'Equity in education and in measuring educational outcomes.' His work with the Diagnostic Quality Lab in Bern focuses on improving diagnostic safety through collaborative research on diagnostic decision-making processes and error reduction strategies.

Nikolay Arefevمشاهده پروفایل

پژوهشگر ارشد

• Computational Linguistics
• Natural Language Processing
• Semantic Change Modeling
• +۳ مورد دیگر

Nikolay Arefev is a Research Fellow at the Department of Informatics , University of Oslo . He is affiliated with the Language Technology Group (LTG) and works on the High-Performance Language Technology (HPLT) project. His research focuses on computational linguistics, semantic change modeling, and multilingual natural language processing. Education : Not explicitly stated in the text, but his role implies advanced academic background in computer science or computational linguistics. Research Interests : Arefev's work spans computational linguistics , semantic change detection , word sense induction , and machine learning . He develops models for cross-lingual applications and semantic analysis, contributing to projects like the HPLT dataset. Articles : His recent work explores semantic change using lexical substitution, multilingual models, and transformer-based approaches. Key contributions include diachronic word sense annotations and benchmarking tools for semantic tasks. Labs/Teams : Active in the LTG group, collaborating on projects like HPLT and LSCDiscovery. His work often involves international conferences and shared tasks (e.g., SemEval).

Liang Chengمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Machine Learning
• Semantic Technologies
• +۳ مورد دیگر

Liang Cheng is a Research Fellow and PhD Candidate at the Department of Informatics of the University of Oslo , affiliated with the Faculty of Mathematics and Natural Sciences . He works on the REWARD project focused on semantic modeling for e-waste information management under the supervision of Prof. Amir Taherkordi, Prof. Martin Giese, and Dr. Golnoush Abbasi. His research interests include Artificial Intelligence , Machine Learning , Semantic Technologies , and Knowledge Graphs . The REWARD project aims to develop semantic frameworks for sustainable e-waste management through advanced computational methods. No academic awards or publications are listed in the provided texts. His current role involves collaborative research within interdisciplinary teams, focusing on applying AI to environmental challenges. Contact details include liangch@ifi.uio.no and room 5168 at Gaustadalléen 23B, Oslo.

• Artificial Intelligence Security
• Adversarial Machine Learning
• Large Language Models
• +۳ مورد دیگر

Ryan Anthony Marinelli is a Doctoral Research Fellow at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, specializing in digital security with a focus on AI-cybersecurity intersections. His work addresses critical vulnerabilities in emerging technologies while contributing to institutional research objectives in secure computing. Marinelli's research spans AI Security , Adversarial Machine Learning , and Responsible AI Development , examining prompt injection attacks, knowledge leakage in large language models, and cryptographic deployment challenges. His methodology integrates causal tracing , reinforcement learning , and chain-of-thought analysis to develop detection frameworks and optimization strategies for real-world security applications. Analysis of his 2023-2025 publications reveals concentrated expertise in LLM security assessment, with recurring themes of societal risk mitigation and ethical AI development. His work demonstrates technical depth in homomorphic encryption optimization and password leakage evaluation, while maintaining strong connections to practical cybersecurity implementations through IEEE conference contributions and arXiv preprints. As part of UiO's Department of Informatics research ecosystem, Marinelli collaborates across multidisciplinary teams including cybersecurity specialists and AI researchers. His affiliation with the Faculty of Mathematics and Natural Sciences positions him within Norway's leading hub for digital security innovation, though specific laboratory structures aren't detailed in the source material.

Leif Harald Karlsenمشاهده پروفایل

مدرس ارشد

• Ontology Engineering
• Deductive Databases
• Qualitative Spatial Reasoning
• +۱ مورد دیگر

Leif Harald Karlsen is a Senior Lecturer at the University of Oslo's Department of Informatics, specializing in data and knowledge management. His research focuses on ontology engineering, deductive database systems, and qualitative spatial reasoning. Karlsen has developed formal frameworks for pattern-based ontology engineering and efficient representations of spatial information. His work on OTTR (Reasonable Ontology Templates) provides formal methods for ontology pattern specification and implementation. Karlsen also researches multi-scenario reasoning applications in geological subsurface evaluation.

Kristian Gjertsen Kjelgårdمشاهده پروفایل

دانشیار

• Microwave Engineering
• Antennas and Propagation
• Ultra-Wideband Radar
• +۶ مورد دیگر

Kristian Gjertsen Kjelgård serves as an Associate Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences, where he actively contributes to the Nanoelectronics (NANO) research group. His academic role centers on advancing microwave engineering and nanoelectronic systems with practical applications in environmental and biomedical domains. His research program integrates ultra-wideband radar technology, 3D-printed RF components, and CMOS circuit design to solve complex sensing challenges. Key focus areas include snow water equivalent monitoring through bi-static SAR systems, non-invasive biomedical instrumentation for heart rate and tissue characterization, and hardware security countermeasures against side-channel attacks. His innovative work on differential probing techniques and body-coupled antennas demonstrates cross-disciplinary impact across geoscience and healthcare. Analysis of his 2018-2024 publications reveals a strategic trajectory toward additive manufacturing integration in microwave engineering, producing functional components like 3D-printed waveguide transitions, absorbers, and specialized antennas. The research consistently bridges two critical application domains: environmental remote sensing (particularly snow hydrology monitoring) and biomedical sensing (including wearable health technologies). This dual-focus approach has yielded practical solutions for snowpack inspection, transcutaneous biomedical monitoring, and secure hardware implementations. No specific scientific awards were documented in the source material, though his extensive publication record in IEEE conferences and journals indicates significant scholarly contributions. Within the Department of Informatics, Dr. Kjelgård collaborates extensively through the Nanoelectronics research group, which maintains strong interdisciplinary connections between electrical engineering, materials science, and computer science. The group's facilities support advanced work in RF circuit design, electromagnetic simulation, and additive manufacturing for radar and sensing applications, with ongoing projects targeting next-generation environmental monitoring systems and biomedical instrumentation.