Yuriy Rogovchenko is a Professor in the Department of Mathematical Sciences at the University of Agder. His research spans differential equations, mathematical modeling, and education innovation, with applications in biology, social sciences, and engineering. Rogovchenko has contributed extensively to mathematics education through projects like PLATINUM (Erasmus+ Strategic Partnership) and CPEA-ST-2019/10067 (Eurasia project). PhD in differential equations (Institute of Mathematics, Kyiv, 1987) Regular Associate at Abdus Salam ICTP, Trieste (2004-2011) Editor for 11 international journals Referee for over 70 journals Research Interests: Qualitative theory of differential equations, perturbation methods, mathematical modeling in interdisciplinary contexts. He focuses on enhancing conceptual understanding through inquiry-based learning and nonstandard problems. Publications: Recent works include advancements in linear system observability, parameter identification methods, and educational studies on exact differential equations. His collaborations with Svitlana Rogovchenko and Matthias Pätzold highlight applications in engineering and biology. Awards: Sørlandet kompetansefonds research award (2016).
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.
Dr. Ryan B Graham is an Associate Professor in the School of Human Kinetics at the University of Ottawa , with cross-appointments to the Ottawa-Carleton Institute for Biomedical Engineering . He holds Adjunct Assistant Professor positions at Queen's University and University of Waterloo , reflecting his interdisciplinary collaborations in biomechanics and biomedical engineering. His research focuses on spine movement analysis , motion capture validation , and sensor technology applications in clinical and military contexts. Recent work includes developing markerless motion capture systems, assessing movement reliability, and modeling spine dynamics for injury prevention. Editorial Contributions: Associate Editor for Biomechanics and Control of Human Movement at Frontiers in Sports and Active Living Dr. Graham's academic network includes collaborations with institutions in Canada, the UK, and the Netherlands, with a focus on advancing biomechanical methodologies and their clinical translation.
Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.
Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.
Jo Herstad is an Associate Professor in the Department of Information Systems Design at the University of Oslo , where she has worked since 2002. With a background in industry at Ericsson (1990-2003), Herstad bridges technical expertise with academic rigor. She teaches courses including: IN1030 - Introduction to Design, Use, Interaction (since 2017) IN2000 - Software Engineering with Project Work IN5480 - Interaction with AI and Autonomous Systems Research Focus: Her work explores Human-Computer Interaction through: Universal Design principles in digital environments Human-Robot Interaction for domestic applications Inclusive Technology across diverse populations Participatory Design methodologies Privacy Dynamics in smart homes Multimodal Systems for elderly care Key Publications (2017-2024) examine motion profiling in robotics, equitable digital feedback, and socio-technical systems. Her supervision includes 15+ master's theses on topics ranging from chatbot ethics to universal design in education. Current projects focus on: Artificial Intelligence and Sensor Technology Multimodal Elderly Care Systems (MECS) Podcast Accessibility (PUD) RHYME: Music Technology for All
Pasi Väliaho is a Professor in the Department of Philosophy, Classics, History of Art and Ideas at the University of Oslo, Faculty of Humanities. His research sits at the intersection of art history, media theory, and epistemology, exploring how visual media shape knowledge, power, and economic systems across historical periods. He is a key member of the Visual Studies research group and the Screen Cultures research initiative at UiO. His academic background includes a doctorate from the University of Turku, Finland, where he also holds the title of Docent in Media History and Theory. Prior to joining the University of Oslo, he served as Reader in Film and Screen Studies at Goldsmiths, University of London. His educational path reflects a strong foundation in European media and art history. Väliaho’s research focuses on the historical and political dimensions of visual culture, particularly how optical media, cinema, and digital technologies intersect with epistemic shifts, colonialism, and neoliberal capitalism. He examines topics such as camera obscuras, magic lanterns, military drones, video games, and deep-sea visualization, analyzing how images function as instruments of knowledge, governance, and capital. His work is deeply interdisciplinary, drawing from philosophy, science studies, and critical theory. The trends in his recent publications reveal a sustained engagement with the materiality and politics of images—from early modern optical devices to contemporary data-driven visualizations. His scholarship consistently links historical media forms with current digital and neuroscientific developments, emphasizing continuity in how vision is instrumentalized for power and control. Themes of embodiment, affect, biopolitics, and speculative economies recur across his work. 2023 Limina Award for the Best International Book in Film Studies (for Projecting Spirits ) Choice Outstanding Academic Title for 2015 (for Biopolitical Screens ) Väliaho actively supervises doctoral and postdoctoral researchers, including Rasmus Rodineliussen, William Wessel Nore, and Nanna Lenander. He is currently co-leading the Research Council of Norway-funded project 'Visualizing the Deep Sea in the Age of Climate Change' (2023–2027), which explores the political ecology of oceanic imaging. His teaching includes courses such as 'Archaeology of the Moving Image' and 'Philosophies of the Image,' reflecting his broad theoretical and historical expertise. He is embedded in collaborative research environments, notably the Visual Studies group at IFIKK and the international Screen Cultures initiative, fostering interdisciplinary dialogue on media, aesthetics, and epistemology.
Annette Stahl is a Professor at the Department of Engineering Cybernetics, NTNU, and an Onsager Fellow. She leads the Robot Vision Group and oversees the AILARON project, funded by the Research Council of Norway. Her expertise spans robotic vision, control theory, and autonomous systems. She holds a PhD in Applied Mathematics (Computer Vision) from Heidelberg University. Her research focuses on underwater robotics, autonomous vehicles, and aquaculture monitoring, with applications in fish health analysis and marine environmental sensing. Stahl has supervised numerous PhD and master’s students, including projects on autonomous ships (SFI AutoShip), underwater SLAM (AROS), and plankton identification. She collaborates with industry partners like Zebop AS and SINTEF Ocean. Notable projects include the robotic microplankton sniffer-dog and AI-driven fish welfare monitoring. Her work is published in top journals/conferences like IEEE Access and MIC Journal. She actively contributes to datasets like the VAROS Synthetic Underwater Data Set.
Juergen Pfingstner is a Post-doctoral Fellow at the University of Oslo (since 2015) within the Department of Physics. His research focuses on advanced accelerator technologies, particularly at CERN's CLIC Test Facility (ATF2). Key areas include emittance preservation, ground motion mitigation, and free-electron laser (FEL) design. He holds a PhD from the Vienna University of Technology (2013) and a Master's in Electrical Engineering from Graz University of Technology (2008), specializing in control engineering and electromagnetic field computation. His academic journey includes a postdoctoral stint at CERN (2012–2014), where he investigated ground motion effects on CLIC performance. Collaborations span institutions like KEK (ATF2 facility) and the X-band FEL collaboration. Research interests bridge particle accelerator physics, control systems, and high-frequency radiation technologies. Publications emphasize CLIC final focus systems, wakefield suppression, and plasma wakefield acceleration. His work addresses both theoretical and experimental challenges in next-generation collider design, including THz radiation facilities and feedback control methodologies.
Thor Inge Fossen is a Professor of Navigation and Marine Craft Control at the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is a key scientist at the Norwegian Centre for Embodied AI (NCEI) and internationally recognized for his work in navigation systems, guidance systems, and control of marine vessels, aircraft, and drones. Professor Fossen holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His academic journey has led him to become a Fellow of AAIA, IEEE, and IFAC, reflecting his significant contributions to the field. His research spans several critical areas in marine and aerospace systems: Marine craft hydrodynamics and motion control Navigation, guidance, and control systems for marine craft, aircraft, and drones Cybersecurity of autonomous vehicles Sea-state estimation and wave analysis Attitude control and estimation Fossen's marine craft model, which is widely used in the industry Professor Fossen's publication record demonstrates a strong focus on adaptive control systems, particularly Line-of-Sight (LOS) guidance laws, with numerous papers on 3D path following for marine and aerial vehicles. His recent work (2023-2025) shows increasing integration of machine learning techniques with traditional control systems, particularly in areas like constrained control allocation using deep neural networks. There's also a growing emphasis on cybersecurity aspects of autonomous vehicle guidance systems. His scientific recognition includes: Fellow of the American Institute of Aeronautics and Astronautics (AAIA) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the International Federation of Automatic Control (IFAC) Professor Fossen has been actively involved in advising graduate students, with numerous PhD and MSc graduates. He has led significant research projects including the Marine Systems Simulator (MSS) and the Python Vehicle Simulator, which are widely used tools in the field. His current appointments include being a Study Program Coordinator for the Master's program in Cybernetics and Robotics at NTNU and a Key Scientist at the Norwegian Centre for Embodied AI. He leads research teams focused on embodied AI applications for marine systems, with particular emphasis on safe and secure autonomous operations in complex maritime environments. His work bridges theoretical control systems with practical marine applications, making significant contributions to both academic research and industry implementation.
Danyal Farsani is an Associate Professor at the Department of Teacher Education , Norwegian University of Science and Technology (NTNU), specializing in mathematics education through the lens of embodied cognition and cultural responsiveness . His work bridges teacher training , gesture-based learning , and cross-linguistic analysis in educational contexts. Key Research Themes: Embodied mathematical concepts, cognitive load in arithmetic, cultural/ethnomathematical practices, and multimodal communication in classrooms. Recent Collaborations: Focus on global North-South educational dynamics, robotics integration in teacher training, and metaphorical processing in language learning. Methodological Focus: Empirical studies using mental arithmetic tasks, gesture analysis, and cross-cultural curriculum evaluations. Publication Trends (2022–2025): Analysis of 15 recent articles reveals recurring emphasis on embodied cognition , mathematical metaphors , visual attention mechanisms , and culturally adaptive teaching tools like the Ethiopian Gebeta game. Subfields span gesture studies , cross-linguistic pedagogy , and innovative teacher education frameworks . No scientific awards or student advisories are explicitly mentioned in the provided data.
Thor I. Fossen is a Professor of Guidance, Navigation, and Control at the Norwegian University of Science and Technology (NTNU), Department of Engineering Cybernetics. He holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His research focuses on marine craft hydrodynamics, autonomous systems, inertial navigation, and cybersecurity of control systems. He is an IEEE Fellow and has authored influential textbooks such as the Handbook of Marine Craft Hydrodynamics and Motion Control . **Education**: PhD Eng. Cybernetics, MSc Marine Technology. **Research Interests**: Development of guidance, navigation, and control (GNC) systems for marine and aerial vehicles; cybersecurity for autonomous systems; inertial navigation algorithms; and robotics. Notable contributions include the Marine Systems Simulator (MSS), a widely used MATLAB/Simulink toolbox for vehicle control design. **Recent Trends in Publications**: Focus on autonomous surface/underwater vehicles, adaptive guidance laws, cyber-resilient navigation, and sensor fusion techniques. His work bridges theory and practice, with experimental validations on real systems. **Awards**: Automatica Prize Paper Award (2002), Arch T. Colwell Merit Paper Award (2008), IEEE Fellow (2020+). **Grants & Labs**: Co-founder of Marine Cybernetics AS and ScoutDI AS. Lead developer of MSS software. Active in collaborative projects involving dynamic positioning, wave filters, and cyber-physical systems security.
Roger Skjetne is a Professor in Marine Control Engineering at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Marine Technology under the Faculty of Engineering. His research focuses on autonomous ships, dynamic positioning systems, energy and power management for hybrid-electric vessels, Arctic stationkeeping, and ice management systems. He leads the SFI Autoship research center, which aims to advance autonomous ship technology for safe and sustainable operations in Arctic and maritime environments. Key projects include DigitalSeaIce (multiscale sea ice observation), ENDURE (safety solutions for autonomous ships), and ZEVS (zero-emission passenger vessel systems). His work integrates control systems, robotics, and environmental monitoring to address challenges in marine autonomy and energy efficiency. Skjetne’s research has produced over 150 publications since 2020, with a focus on hybrid control barrier functions, energy optimization, and autonomous navigation. He collaborates with industry partners to translate academic findings into practical maritime solutions.
Christian Fredrik Sætre is an Associate Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on control engineering, robotics, and machine learning, particularly in nonlinear control systems and underactuated dynamical systems. Current courses: AIST1001 Automation, Introduction and IELET2101 Control Theory 2 Previous courses: TTK4195 Modeling and Control of Robots Research interests: Control engineering, robotics, motion planning, machine learning, and computer vision Competencies: Artificial intelligence, automation, control theory, cybernetics, dynamical systems, robotics His recent publications (2019–2023) explore orbital stabilization techniques for underactuated mechanical systems, with applications in robotics and automation. Key themes include Floquet theory, transverse coordinates, and robust control approaches. Contact: christian.f.satre@ntnu.no | Office: Elektro D/B2, D435, Gløshaugen
Frank Eirik Abrahamsen is an Associate Professor in the Department of Sport and Social Sciences at the Norwegian School of Sport Sciences. He earned his PhD in 2007 with research focused on performance anxiety in elite sports. With extensive practical experience, Abrahamsen has worked with international-level athletes across more than 40 sports, participated in four Olympic Games and four Paralympic Games, and consulted with the Norwegian national male soccer team. His research interests center around creating optimal environments for development, wellbeing, and peak performance across all athletic levels. Abrahamsen's scholarly work primarily explores motivation, stress, anxiety, focus and concentration within applied sport psychology contexts. His recent publications demonstrate a broadening scope that now includes rehabilitation science, particularly examining how sports-based interventions benefit individuals with acquired brain injuries. Abrahamsen's teaching portfolio spans bachelor's degrees in training, coaching and sports psychology, master's degrees in coaching and sports psychology, and PhD-level instruction on practical research ethics and privacy. His work on projects like Mind in Motion (MiM) and research into health-compromising behaviors among Norwegian youth athletes reflects his commitment to translating theoretical knowledge into practical applications that benefit athletes at all levels.
