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Daniel NordgårdView profile

Professor

• Digital transformation in music industries
• Music streaming economics
• Digital sustainability in music
• +5 more

Professor Daniel Nordgård works at the University of Agder's Department of Popular Music , directing CreaTeME (Center for Excellence in Creative use of Technology in Music Education). His research focuses on music industries' digital transitions , particularly structural changes, streaming economics, and policy frameworks. Co-leader of Popular Music Studies research group Active board member in Gramo (Norwegian collecting society) and Gramart (Norwegian Artists' Organization) Co-chair of Kristiansand Roundtable Conference Research projects include CROWDCUL (crowdfunding in cultural industries) and CeDiT (digital transformation). He publishes across Springer , Bloomsbury , and International Journal of Music Business Research , with recent 2024 works addressing AI integration and sustainable artist careers.

Alireza David AnisiView profile

Associate Professor

• Autonomous Systems
• Robotics
• Agri-tech
• +7 more

Alireza David Anisi is an Associate Professor at the Department of Engineering Sciences , University of Agder. With a PhD in Optimization and Systems Theory and an M.Sc. in Engineering Physics, he specializes in autonomous systems and robotics , particularly in agri-tech and harsh environments . His industrial experience spans 15+ years in defense and oil & gas sectors. Academic Background: PhD: Optimization and Systems Theory M.Sc.: Engineering Physics Research Interests include formal verification and learning for autonomous systems, combinatorial optimization for multi-robot task/path planning, computational optimal control for trajectory optimization, and nonlinear observer design. His work bridges academic research with industrial R&D. Selected Publications highlight trends in robotics safety assurance, formal verification methods, and industry-specific applications (defense, oil & gas, agriculture). Recent works focus on runtime verification in ROS 2 and RoboStar technology integration. Patents: Power system optimization (EP18162642.5, 2018) Mechanical grip system (SE1300179, 2013) Sensor arrangement for machine vision (WO2014026711, 2012) Tool changer for explosive environments (WO2012007188, 2011) Industrial robot control method (EP2466404, 2010) Harsh environment mobile robot (WO2011107137, 2010) Anisi contributes to the Robotics and Automation research group, focusing on real-world applications in agriculture, energy, and industrial sectors. He teaches MAS221 Industrial IT and Robotics and emphasizes collaboration between academia and industry.

Filippo SanfilippoView profile

Professor

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +7 more

Filippo Sanfilippo is a Professor at the Department of Engineering Sciences, University of Agder (UiA), Grimstad, Norway. He holds a PhD in Engineering Cybernetics from NTNU, specializing in robotic control systems. His research focuses on robotics, wearables, human-robot collaboration, AI, and control theory, with emphasis on applications in healthcare, Industry 5.0, and emergency response. He leads projects like SAKO (Service Robots in Municipal Health Services) and the EMERALD initiative (3D printing biomimetic mechatronic systems). He chairs IEEE Norway Section and the IEEE Robotics & Automation Joint Chapter, and serves as Treasurer of NAIS (Norwegian AI Association). His research groups include Artificial Intelligence, Biomechatronics, and Collaborative Robotics. He coordinates activities in teaching robotics at bachelor/master levels and supervises PhD students. Over 70+ publications span journals like IEEE Transactions and conferences like HICSS and ICRA. Key contributions include VR/AR integration in surgical training, federated learning for edge devices, and adaptive control for flexible robotic joints. He actively promotes interdisciplinary research through digital twins, human-robot teaming frameworks, and ethical AI applications.

• Robotics
• Control Systems
• Industrial IT
• +3 more

Geir Hovland is a Professor at the Department of Engineering Sciences, University of Agder. He holds an MSc in Engineering Cybernetics from NTNU (1993) and a PhD in Robotics from the Australian National University (1997). His research focuses on robotics, control systems, industrial IT, and modeling/identification of dynamic systems. He serves as Chief Editor of the MIC Journal . Research Interests: Robotics and automation, including flexible manipulators and sensor networks Control systems for offshore and industrial applications Parallel kinematic machines and mechatronic systems Blockchain stability analysis (nonlinear control) Publications: Over 100 peer-reviewed articles in journals like Robotics , IEEE Transactions , and MIC Journal , with a focus on advanced control strategies, sensor optimization, and robotics in harsh environments. Labs/Teams: Leads the Norwegian Motion-Laboratory and collaborates with industry partners on projects like autonomous mooring systems and offshore crane modeling.

• Building Physics
• Bioenergy
• Sustainable Agriculture
• +4 more

Henrik Kofoed Nielsen is a Professor at the Department of Engineering Sciences, University of Agder, specializing in building physics, bioenergy, and sustainable systems. His research focuses on energy efficiency in buildings, biomass conversion technologies, and indoor environmental quality. He leads projects on digital twin applications for building optimization and sustainable biochar production. Education includes a Cand.agro. (1983) and PhD in Agricultural Engineering (1986) from the University of Copenhagen. Professional experience spans furnace technology development, horticultural consultancy, and academic positions since 1992. Research explores thermoelectric generators, fluidized-bed gasification, and indoor air quality monitoring. Recent publications focus on AI-driven energy optimization and sustainable biomass utilization. Current projects include biocarbon applications for metallurgy and VOC reduction in built environments. Supervised 10+ PhD projects on biomass systems and energy storage. Leads the Bioenergy research group and serves on committees including the Norwegian Climate Foundation and EU-PoTaRCh network.

Bernhard FäßlerView profile

Researcher

• Battery Storage Systems
• Renewable Energy
• Grid Balancing
• +5 more

Bernhard Fäßler is a Researcher at the University of Agder's Department of Engineering Sciences since 2018. His work focuses on stationary battery storage systems, repurposing electric vehicle batteries for grid balancing, and embedded systems programming. He has taught courses in MATLAB, battery systems, and energy projects. His research bridges renewable energy optimization, grid stability, and circular economy principles. Education and Background: PhD in Renewable Energy (University of Agder, 2018) Master's in Ultrashort-pulse Laser Machining (Vorarlberg University of Applied Sciences, 2014) Bachelor's in Automotive Engineering (Vorarlberg University of Applied Sciences, 2012) Research Interests: Second-life battery utilization for grid services Autonomous energy storage optimization Circular business models for lithium-ion batteries Decentralized demand-side management Recent Research Trends: His work emphasizes economic viability of battery storage systems, integration of repurposed EV batteries into grids, and policy frameworks for sustainable battery recycling. Recent studies explore hybrid storage systems and circular economy applications. Lab Affiliations: Battery Coast and Battery Recycling groups at UiA.

Tejaswinee KelkarView profile

Associate Professor

• Music Technology
• Melodic Cognition
• Motion-Capture
• +4 more

Tejaswinee Kelkar is an Associate Professor in Music Technology at the University of Oslo's Department of Musicology (Faculty of Humanities). She leads research in musical embodiment, motion capture, and multimodal analysis at the RITMO Centre for Interdisciplinary Studies in Music. Her work bridges music cognition, technology, and cultural studies, focusing on how bodily engagement shapes melodic perception and linguistic prosody. Teaching includes courses like 'Motion Capture' (MCT4053), 'Sound and Music Programming', and 'Music, Technology, and Society'. She integrates her Hindustani classical singing background with digital tools to explore disembodied voice and interactive systems. Notable projects include the Resonance Improviser system and the VLabs pedagogical platform. Her research employs machine learning and statistical methods to uncover patterns in musical interaction, with publications in Documenta , Scientific Reports , and Applied Sciences . Collaborations span disciplines like linguistics (e.g., coreference in dance semantics) and computer science (e.g., motion-tracing algorithms). Artistic work includes performances blending traditional Indian music with electronic elements, showcased at Nattjazz Bergen and Sildajazz. She actively engages in public outreach through workshops (e.g., Sonic Pi at Notam) and lectures on algorithmic music curation.

Kristine BærøeView profile

Professor

• Translational Ethics
• Health Equity
• Social Inequality in Health
• +3 more

Kristine Bærøe is Professor at the Centre for Medical Ethics, University of Oslo. Research focuses on translational ethics addressing public health challenges including social inequality, priority setting, and ethical implications of AI in healthcare. Holds leadership roles: Leader of medical ethics teaching Member of Norwegian Ethics Committees for Clinical Trials on Medicinal Products and Medical Devices Research areas span: Social inequality in health and governing determinants Priority setting and accountability in healthcare Ethics of AI and medical algorithms Climate change impacts on health ethics Teaches medical/health ethics and research ethics courses. Extensive publication record examines fairness in resource allocation, trustworthy AI implementation, and pandemic ethics frameworks. Leads projects on equitable health governance and ethical AI implementation in clinical settings. Research informs policy development through national ethics committees.

Waleed GhanimaView profile

Professor

• Immune Thrombocytopenia (ITP)
• Thrombosis and Haemostasis
• Pulmonary Embolism
• +3 more

Waleed Ghanima is a Professor II in the Department of Haematology at the University of Oslo's Faculty of Medicine. His research focuses on immune thrombocytopenia (ITP), thrombosis, pulmonary embolism, and their clinical management. He collaborates extensively with international teams, contributing to studies on treatment algorithms, biomarkers, and patient outcomes. Key affiliations include the TROLL registry and clinical trials evaluating anticoagulants like apixaban and novel therapies such as rilzabrutinib. He has been involved in investigations of SARS-CoV-2-related thrombosis and post-COVID-19 complications, emphasizing the interplay between systemic inflammation and blood disorders. His work bridges basic science and clinical practice, with a strong emphasis on improving quality-of-life metrics for patients with chronic blood conditions. Recent studies address residual perfusion defects post-pulmonary embolism and the role of exercise rehabilitation in mitigating persistent symptoms. His contributions span translational research, including drug efficacy evaluations (e.g., fostamatinib, avatrombopag) and diagnostic tool optimization (e.g., clinical scores for DVT). He also explores the impact of comorbidities and treatment interactions, particularly in cancer-associated thrombosis.

Andreas AustengView profile

Professor

• Medical Ultrasound Imaging
• Beamforming
• Ultrasound Wave Propagation
• +4 more

Andreas Austeng is a Professor of Signal Processing and Acoustic Imaging at the Department of Informatics, University of Oslo, leading the Machine Learning section. He is affiliated with the Digital Signal Processing and Image Analysis (DSB) research group. His research focuses on medical ultrasound imaging, beamforming, sonar systems, and applications of AI/deep learning in acoustics. He holds a PhD and has been actively involved in academic leadership roles. Research interests include medical ultrasound imaging, sonar beamforming, wave propagation, and machine learning integration. He has supervised numerous PhD students, with ongoing and completed projects addressing challenges in adaptive beamforming, synthetic aperture sonar, and medical imaging quality enhancement. His work is funded by initiatives like MEDIMA and CIUS, and he collaborates with institutions such as Kongsberg Maritime and GE Vingmed Ultrasound. Publications span advancements in beamforming algorithms, array design, and acoustic imaging techniques. His contributions emphasize improving diagnostic accuracy and system performance in medical and underwater acoustics. Projects like Brainsight and interferometric sonar applications highlight his interdisciplinary impact.

Kristjon CikoView profile

Research Fellow

• Network Architecture
• Distributed Systems
• Recursive InterNetwork Architecture (RINA)
• +3 more

Kristjon Ciko is a Research Fellow at the University of Oslo's Faculty of Mathematics and Natural Sciences, affiliated with the Department of Informatics under the Networks and Distributed Systems group. His work focuses on advancing network architectures and distributed systems. Research Interests: Ciko's research spans network architecture, particularly Recursive InterNetwork Architecture (RINA), congestion control mechanisms, and energy-efficient computing. His studies address challenges in next-generation network design, throughput optimization, and sustainable computing systems. Publications: Recent work includes innovations in energy efficiency for throughput computing, software-based server energy management, and congestion control solutions for datacenter networks. His research bridges theoretical advancements with practical implementations.

Silvia MasieroView profile

Associate Professor

• Information and Communication Technology for Development (ICT4D)
• Digital Platforms and Socio-Economic Development
• Digital Identity Systems
• +3 more

Silvia Masiero is an Associate Professor at the University of Oslo's Department of Information Systems. Her research focuses on ICT4D, examining digital platforms' role in socio-economic development, particularly in India. Key areas include digital identity systems, humanitarian technology, and data justice. She holds editorial roles at Information Technology for Development and Electronic Journal of Information Systems in Developing Countries . Her work analyzes India's Public Distribution System (PDS) computerization, election technologies, and social protection programs. She explores how digital platforms impact marginalized communities, emphasizing ethical governance and equity. Masiero's 2024 book Unfair ID critiques digital identity systems' exclusionary effects. Editorial Roles: Editor-In-Chief of Information Technology for Development Awards: 2023 AIS Mid-Career Award, Distinguished AIS Membership Public Engagement: Co-host of Sociotechs podcast, active on Bluesky and ResearchGate Her research integrates critical theory, subaltern studies, and decolonial perspectives. Current projects include studies on data-driven social welfare and digital labor platforms in Pakistan.

Ana OzakiView profile

Associate Professor

• Artificial Intelligence
• Knowledge Representation
• Machine Learning Theory
• +3 more

Ana Ozaki is an Associate Professor at the University of Oslo (full-time) and holds a part-time position at the University of Bergen. Her research focuses on Artificial Intelligence, particularly knowledge representation, machine learning theory, and algorithms for learning logical theories in description logic. Her primary research interests include the formalization of learning phenomena to investigate questions of learnability, complexity, and reducibility. Ozaki specializes in algorithms for learning logical theories using description logic and related formalisms. Her work bridges theoretical foundations with practical applications in knowledge representation. Ozaki's publications predominantly explore themes in computational logic, knowledge representation, and machine learning theory. Recent works focus on ethical AI applications, hybrid logic systems, and knowledge extraction techniques from language models, demonstrating consistent innovation at the intersection of formal methods and practical AI systems. She has led significant research projects including 'Learning Description Logic Ontologies' (funded by RCN) and 'Apprendimento PAC di Ontologie in Logica Descrittiva' (PACO), and has collaborated internationally on graph-based computation models. Ozaki serves the AI community through editorial roles at the Journal of Machine Learning Research and Journal of Web Semantics, and has chaired program committees for major conferences including the International Joint Conference on Rules and Reasoning and the International Description Logic Workshop.

Andrea PferscherView profile

Senior Lecturer

• Digital Twins
• Formal Methods
• Computer Science
• +3 more

Andrea Pferscher is a Senior Lecturer at the University of Oslo's Department of Informatics. Her research focuses on formal methods applied to digital twins, particularly in contexts like vaccination strategy modeling and environmental systems analysis. She is involved in projects such as DART (Digital Arctic Twins), a digital twin for vaccination strategies at geographic scales, and a digital twin of the Oslo Fjord. Her work bridges theoretical computer science with practical applications in system modeling and analysis. She collaborates on stochastic games, user journey strategies, and automated learning techniques for cyber-physical systems. Pferscher's research emphasizes interdisciplinary approaches, combining formal verification with machine learning and systems engineering.

Lars TveitoView profile

Lecturer

• Formal Methods
• Software Engineering
• Distributed Systems
• +3 more

Lars Tveito is a Lecturer in Programming Technology at the Department of Informatics, University of Oslo. His research focuses on formal methods, distributed systems, and concurrency theory, with contributions to tools like OnlineProver for teaching formal proofs. He is affiliated with the Programming Technology research group and has published widely in venues such as NIKT, OpenAccess Series in Informatics, and Lecture Notes in Computer Science. Key research interests include partial order reduction techniques, formal verification of distributed systems, and virtualized system analysis. Recent work explores reproducibility in distributed active objects and symbolic execution combined with concurrency analysis. His teaching emphasizes practical applications of formal logic and software engineering principles. Collaborations with researchers like Einar Broch Johnsen and Rudolf Schlatte highlight his involvement in advancing methodologies for system design and verification. The lack of explicit awards indicates a focus on impactful technical contributions over accolades.