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.
Kristian Gjøsteen is a Professor at the Department of Mathematical Sciences within the Norwegian University of Science and Technology (NTNU) . He actively contributes to the Algebra Group and specializes in cryptographic systems with a focus on electronic voting , security proofs , and privacy-enhancing technologies . Educational Background: MSc and PhD from NTNU Research Interests: His work spans cryptography , key exchange protocols , cloud security , and formal verification of security mechanisms. Particular emphasis is placed on coercion-resistant voting systems , lattice-based encryption , and blockchain privacy models . Article Trends: Recent publications demonstrate expertise in post-quantum cryptography , machine-checked security , and privacy-preserving voting architectures . Collaborative efforts explore hybrid cryptographic schemes , verifiable decryption , and mix-net implementations for secure elections.
Anne Elise Steen-Hansen is a Professor in Fire Safety Engineering at the Department of Civil and Environmental Engineering , Norwegian University of Science and Technology (NTNU). She specializes in fire dynamics, building materials resilience, and post-fire analysis. Her research focuses on improving fire safety in buildings through statistical modeling, regulatory compliance, and interdisciplinary collaboration. Affiliations: NTNU, SINTEF Building Research, RISE Fire Research AS Key Expertise: Fire energy calculations, structural fire resistance, forest fire dynamics, fatal fire investigations Recent work includes a 2022 report on post-fire learning mechanisms funded by the Research Council of Norway, and 2023 lectures addressing fatal fire patterns and institutional learning. She contributes to national fire safety standards via the Building Research Series. Collaborations with industry partners (SINTEF, RISE) enable applied research in fire prevention technologies and policy development. Active in conferences such as the Fire Promise Conference (Lysaker) and Environment & Fire Prevention Conference (Stavanger).
Simon McCallum is an Associate Professor at NTNU’s Faculty of Information Technology and Electrical Engineering. Born in New Zealand, he transitioned from commercial game development in Norway to academia in 2009. His research focuses on Serious Games, particularly in healthcare contexts, gamification, and virtual reality applications. He holds a PhD from the University of Otago (2007), where he studied Computer Science, Mathematics, Psychology, and Philosophy. McCallum has contributed to over 30 publications, including works on cognitive health gaming, software engineering education, and AR applications. He teaches courses such as IMT4307 (Serious Games Research) and IMT3603 (Game Programming). His key projects include the Smartkuber AR game for cognitive screening and the Traction Trebuchet historical engineering study. McCallum has collaborated with institutions like the University of Otago and has engaged in outreach through conferences and media appearances, promoting game technology in healthcare and education.
Raghavendra Ramachandra is a Professor at the Department of Information Security and Communication Technology (IIK) , within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. His research focuses on biometric systems, particularly in face, fingerprint, and finger vein recognition, with emphasis on presentation attack detection, morphing attack detection, and deep learning applications. Current research projects include: SALT (2022-2026) : Developing privacy-preserving facial biometric authentication systems. OffPAD (2022-2025) : Creating cryptographic tools and presentation attack detection for fingerprint biometrics. SWAN (2015-2020) : Developing biometric countermeasures against presentation attacks. His recent publications demonstrate technical expertise in: Face morphing attack detection using vision transformers and point cloud networks Image fusion techniques for multispectral biometrics GAN-based synthetic data generation for security evaluation Explainable AI approaches for biometric verification Professor Ramachandra also supervises PhD and Master’s students, and has extensive experience in leading national and EU research initiatives.
Trond Bølviken is a Professor at the Department of Engineering Sciences, University of Agder. His research focuses on Lean Construction methodologies, project management, and construction waste reduction. He has contributed to advancing understanding of collaborative project teams, waste economics, and production planning. His work emphasizes practical applications of theoretical principles in construction, aiming to bridge gaps between academic research and industry practices. Key areas include uncertainty management, production control systems, and the integration of Lean principles with traditional construction workflows. Bølviken has published extensively in peer-reviewed journals and conference proceedings, particularly within the International Group for Lean Construction (IGLC). He collaborates with international researchers and industry practitioners to address challenges in project delivery and workflow optimization.
Ingvild Koksvik is a Researcher at the University of Agder, working in the Department of Popular Music. She is a Norwegian singer and songwriter with several albums of original music, commissioned works for festivals, and extensive touring experience in Norway and Europe. Her academic work bridges artistic practice and scholarly research in popular music production. Koksvik holds a master's degree in musicology from the University of Oslo, where she also served as a research assistant for two years. Her educational background combines formal academic training with extensive practical experience as a performing artist. Her research focuses on record production and songwriting , particularly examining how notions of space influence aesthetic, performative, and compositional aspects of popular music. A significant part of her doctoral work investigates the use of Dolby Atmos 3D audio format in setting new premises for staging compositional design from a recording artist's perspective. Her research methodology is practice-based, using her own artistic work as the foundation for scholarly inquiry. Analysis of Koksvik's publications reveals a strong focus on the intersection of artistic practice and academic research in music production. Her work explores mental imagery in song-making, spatial aspects of audio production, and the unsayable elements of musical ideas. A recurring theme is the application of innovative technologies like Dolby Atmos to expand creative possibilities in record production, while maintaining a strong connection to practical artistic experience. No specific scientific awards are mentioned in the available documentation. However, her ongoing research projects and publications in reputable venues demonstrate recognition within her academic and artistic communities. While specific details about advising relationships and research grants are not explicitly mentioned in the available information, Koksvik's doctoral project represents a significant research undertaking. Her collaborative work with researchers like Hallgjerd Aksnes and Svein Fuglestad on music therapy applications suggests interdisciplinary research partnerships. Koksvik is affiliated with research groups focused on Popular Music Studies, Popular Music Performance, and Songwriting and Production at the University of Agder. Her work appears to integrate closely with her artistic practice, suggesting a studio-based research environment where creative work directly informs scholarly inquiry.
Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.
Bjørnar Tessem is a Professor at the Department of Information and Media Studies, University of Bergen. His research focuses on artificial intelligence (AI) and machine learning applications in journalism and sustainable resource management, particularly fisheries. He leads projects like MediaFutures and collaborates with researchers on anomaly detection in fisheries data and ethical AI in automated journalism systems. His work bridges computational methods with societal challenges, emphasizing fairness, transparency, and sustainability. Research interests include AI-driven journalism frameworks, knowledge graphs for news angles, sustainable fisheries monitoring via machine learning, and ethical implications of AI in media. Key projects involve developing tools for detecting violations in fishing activities and enhancing news production through automated systems. He also contributes to public understanding through popular science articles on technology and AI. Recent articles highlight advancements in collective anomaly detection for fisheries surveillance, future technologies in journalism, and fairness in automated data journalism systems. Tessem’s research is supported by grants from the Research Council of Norway and has implications for both academic and industry applications in media and environmental sectors.
Jan Bang serves as Professor in the Department of Rhythmic Music at the University of Agder (UiA), Norway, with office K2022 at Universitetsveien 25, Kristiansand. A prominent Norwegian composer, musician, and producer of international standing, he co-founded and directs the Punkt Festival with Erik Honoré since 2005. The festival's live sampling concept has been presented in 25 cities globally including London Jazz Festival, Paris' Banlieues Bleues, and San Sebastian Jazz Festival. His primary research interests focus on Electronic Music, Jazz Studies, Live Sampling, and Music Production. Bang explores real-time remix methodologies, the intersection of silence and sound, and political dimensions of art. His work emphasizes technological innovation in performance contexts while maintaining strong ties to Norwegian and global jazz traditions through collaborative improvisation and cross-genre experimentation. Recent publications (2023-2025) reveal concentrated activity in live electronic performance documentation, festival curation, and artistic responses to global conflicts. Collaborations with Ensemble Modern and Eivind Aarset dominate output, alongside politically engaged commentary like his 2025 La Stampa piece on Gaza. Themes consistently address latency as creative material, cultural memory in sound, and the role of electronic processing in contemporary music ecosystems. Bang conducts international masterclasses (Barcelona, Rome) but no formal graduate students or specific grant projects are documented in the source text. His advising appears practice-based through festival workshops and performance collaborations rather than traditional academic supervision. He co-founded the Punkt Festival as a primary creative platform, operating as both artistic director and research vehicle. Additionally affiliated with UiA's Electronic Music and Songwriting and Production research groups, his work integrates festival operations with academic inquiry through projects like Stillefeldt vs Punkt (with Birmingham City University) and Global Jazz Studies networks.
David Palma is an Associate Professor at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His research focuses on next-generation networking paradigms, including intent-based networking , knowledge-driven management , and IoT device automation . Key research interests include: Human-centric Internet of Things (IoT) Ontology-based network management Cloud/Edge/Fog computing for IoT Arctic and satellite communication 5G integration in smart grids His recent publications (2024-2019) highlight trends in knowledge graphs for network compliance, XR applications in critical sectors, UAV-based emergency networks , and 5G-enabled smart grid protection . Articles also explore Arctic connectivity via satellite swarms and energy-efficient IoT management.
Margunn Aanestad is a Professor in Digital Innovation at the Department of Informatics (IFI), Faculty of Mathematics and Natural Sciences, University of Oslo (UiO). With 25 years of research experience focused on healthcare digitalization, she examines how digital technologies transform organizations and societies at multiple analytical levels. Her work spans healthcare information systems, digital innovation, and information infrastructures across the Nordic region and internationally. Her research interests center on understanding digital transformation through a sociotechnical lens, particularly examining how work practices evolve when based on digital monitoring rather than physical visits, how organizations become 'data-driven' through advanced analytics, and how sector-level ecosystems require new technical and regulatory solutions for data sharing. She investigates information infrastructures as interconnected systems rather than isolated technologies, working at the intersection of Information Systems (IS), Computer Supported Cooperative Work (CSCW), Science and Technology Studies (STS), and organizational theory. Her empirical work primarily focuses on healthcare digitalization, including patient records, collaboration solutions, patient portals, digital home monitoring, and emerging AI applications for personalized medicine. Professor Aanestad leads research within the Digital Innovation (DIN) group at UiO and has been involved in significant projects including KINT (From local breakthroughs in knowledge to integration into medical practice) and CORPUS (New competence requirements in the public sector: The consequences of digitalization for work with different degrees of specialization). She previously held a Professor II position at the University of Agder (2019-2022) and maintains active collaborations with NTNU, BI Norwegian Business School, Diakonhjemmet Hospital, and Copenhagen Business School. Her publication record demonstrates consistent high-impact contributions across information systems, healthcare innovation, and digital governance. Recent work explores critical perspectives on digital solutionism, data governance spaces for personal health information, and the sociotechnical dimensions of implementing data infrastructure in public sectors. She examines how digital technologies create both opportunities for innovation and complex challenges related to governance, inclusion, and sustainability. Professor Aanestad's educational background includes engineering degrees in medical technology (1992) and technical sciences (1994) from Stavanger University College. Before joining UiO as a PhD student in 1998, she worked as a department engineer at Rikshospitalet and as a senior engineer at Telenor. Her career trajectory reflects deep engagement with both technical implementation and theoretical understanding of digital transformation processes.
Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.
Annemie Bertha Marcella Wyckmans is a Professor and Head of the NTNU Smart Sustainable Cities initiative at the Norwegian University of Science and Technology (NTNU), within the Faculty of Architecture and Design. She co-leads the Gemini Centre on Climate-Neutral and Socially Innovative Cities and Communities with SINTEF, and coordinates major projects like the Horizon 2020-funded +CityxChange and NEB-STAR. Her background includes an MSc in Architectural Engineering from the Catholic University of Leuven, Belgium, and a PhD/postdoc in Building Technology and environment-friendly architecture at NTNU. Wyckmans pioneered NTNU's international MSc program in Sustainable Architecture and led interdisciplinary education initiatives. Her research focuses on smart cities, climate-neutral urban development, and cross-sector collaboration. Key contributions include frameworks for Positive Energy Districts (PEDs), zero-emission neighborhoods, and social innovation in urban energy systems. She has coordinated EU-funded projects involving academia, industry, and citizen groups, emphasizing participatory approaches to sustainability challenges. Her publications span urban energy policy, sustainable architecture, and interdisciplinary methodologies. Notable works include guidelines for PED implementation and analyses of urban CO2 emissions. She actively promotes Sino-European cooperation in sustainable urbanization through programs like URBAN-EU-CHINA. Her work bridges technical innovation with social and environmental equity, shaping policies for resilient, inclusive cities.
Peyman Mirtaheri is a Professor at the Department of Mechanical, Electronics and Chemistry (MEK) under the Faculty of Technology, Art and Design at Oslo Metropolitan University (OsloMet). He also holds an Adjunct Professor position at the Faculty of Biomedical Engineering at Michigan Technological University, USA. His primary role involves teaching courses such as Medical Sensors and Actuators (ACIT4720) and the upcoming BioInspired Systems (fall 2025). Research Interests: Professor Mirtaheri leads the ADEPT lab (ADvanced hEalth intelligence and brain-insPired Technologies) and ADEPT_technology, focusing on: Developing measurement techniques for brain activity detection and analysis Applying fNIRS (functional near-infrared spectroscopy) and EEG (electroencephalography) to study movement, balance, and cerebral cortex activity Advancing bio-inspired systems and health technology Key Projects: His active research includes Use of 3D printers in future rehabilitation (knowledge-based and patient-centered solutions) and completed work on Brain activity during walking and balance . Labs & Collaborations: He integrates his optical/NIRS laboratory into OsloMet's ADEPT lab, collaborating with institutions like Michigan Technological University and contributing to global conferences such as the IEEE International Symposium on Circuits and Systems and the ISPO World Congress .
