Per-Arne Andersen is an Associate Professor at the Department of Information and Communication Technology within the University of Agder . His research focuses on artificial intelligence , reinforcement learning , Tsetlin machines , and deep learning , with applications in real-time strategy games , industrial environments , and IoT systems . Projects: RESTORE Research Groups: CAIR - Center for Artificial Intelligence Research, CIEM - Center for Integrated Crisis Management, Intelligent Mechatronics (iTron) His work explores safe and sustainable reinforcement learning , interpretable AI , and generative environment modeling . He has developed frameworks like CaiRL and CostNet for high-performance RL environments and goal-directed learning. Recent publications include advancements in Tsetlin automaton analysis , GNSS jamming classification , and road quality detection . Articles from 2025-2016 span machine learning , computer vision , and environmental modeling . He contributes to IEEE , Springer , and LNCS publications, with a focus on interdisciplinary AI applications in crisis management , cybersecurity , and industrial optimization .
Professor Ole-Christoffer Granmo is a distinguished academic at the University of Agder, Norway, where he serves as Professor in the Department of Information and Communication Technology. He is the Founding Director of the Centre for Artificial Intelligence Research (CAIR) at the University of Agder, leading cutting-edge research in artificial intelligence and machine learning. Dr. Granmo obtained his master's degree in 1999 and his PhD in 2004, both from the University of Oslo. His academic journey has been marked by significant contributions to the field of AI, most notably the creation of the Tsetlin machine in 2018, for which he received the AI research paper of the decade award from the Norwegian Artificial Intelligence Consortium (NORA) in 2022. Professor Granmo's research primarily focuses on logical and causal world modeling across multiple modalities including images, sound, and natural language. His work spans logical auto-encoding, convolution, regression, transformer architectures, and reinforcement learning, all with the overarching goal of creating ultra-low-power artificial general intelligence through transparent logical learning and reasoning. His publications reveal a strong emphasis on interpretable AI systems, hardware implementations, and applications across diverse domains including cybersecurity, healthcare, social media analysis, and bioinformatics. AI Research Paper of the Decade (2022) - Norwegian Artificial Intelligence Consortium (NORA) Eight paper awards in machine learning Professor Granmo has coordinated over seven research projects and mentored 55+ master's students and nine PhD students. His leadership extends to co-founding the Norwegian Artificial Intelligence Consortium (NORA) and establishing two companies: Anzyz Technologies AS and Tsense Intelligent Healthcare AS. As an advisor at Literal Labs, he actively bridges academic research with practical industry applications, demonstrating his commitment to translating theoretical innovations into real-world solutions that address complex challenges across multiple sectors.
Norwegian University of Science And TechnologyNorway
Geir Olav Dyrkolbotn is an Associate Professor at NTNU's Center for Cyber and Information Security (CCIS) and a Major in the Norwegian Armed Forces, serving at the Norwegian Defence Cyber Academy (NDCA). He leads the NTNU Malware Lab and the cyber defence research group at CCIS. He holds a PhD in Information Security from Gjøvik University College and a MSc in Computer Science from NTNU. With over 25 years in the military, his work focuses on tactical communication systems, defensive cyber operations, and operational security. His research emphasizes cyber defence, reverse engineering, malware analysis, side-channel attacks, and machine learning applications. Education: PhD in Information Security, Gjøvik University College (HiG) MSc in Computer Science, NTNU Research Interests: Geir Olav's work bridges theoretical cybersecurity research and practical military applications. He explores innovative methods for hardware reverse engineering, malware detection/classification using low-level features, and forensic acquisition techniques. His contributions include analyzing USB power delivery vulnerabilities, NTFS cluster allocation behavior, and secure chip exploitation for digital forensics. Teaching: Courses include IIKG6500/IMT4213 Cyber-taktikk, IMT4214 Cyber-etterretning, IIKG6501 Cyber Intelligence, and IMT4116 Malware Analysis & Reversing. Labs & Teams: Heads the NTNU Malware Lab and leads the cyber defence research group at CCIS, collaborating on projects like the Digital Forensic Acquisition Kill Chain and hardware security vulnerability assessments.
Anis Yazidi is a Professor at Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design and the Department of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, Medical Technology, and IoT Security, with a particular emphasis on Applications of AI in Healthcare, EEG Signal Processing, and Digital Transformation. Active research projects include AI Mind (dementia diagnostics), Glycopathology in dry eyes, and Pain and mental distress analysis Completed projects: Digital hate speech analysis, AI in reproductive technology, Nano-antibiotics development His recent publications (2023-2025) demonstrate expertise in: Tsetlin Automaton algorithms for concept learning EEG classification using visibility graphs and vision transformers AI ethics frameworks for medical practice Deepfake detection methodologies Collaborative work spans institutions in Norway, Czech Republic, and international AI research communities.
Amirhosein Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, dependability, mobility and data-intensiveness of distributed systems for emerging computing technologies including Internet of Things (IoT), Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). Dr. Taherkordi received his Ph.D. from the Informatics Department at the University of Oslo under the supervision of Prof. Frank Eliassen, with his thesis titled "Programming Wireless Sensor Networks: From Static to Adaptive Models." He holds an M.Sc. in Information Technology Engineering (Software Engineering) from University of Science and Technology and a B.Sc. in Computer Engineering from Sharif University of Technology. His research spans multiple domains of distributed systems with emphasis on practical applications. He investigates energy efficiency in wireless sensor networks, communication optimization in IoT systems, and adaptive resource allocation in edge computing environments. His work addresses critical challenges in network traffic classification, federated learning for vehicular networks, and data processing across heterogeneous platforms. Analysis of his recent publications reveals a strong trajectory toward communication-efficient federated learning techniques for vehicular networks, energy-aware protocols for IoT data collection, and advanced machine learning approaches for network traffic analysis. His research consistently focuses on optimizing resource usage while maintaining system performance and privacy in distributed architectures. Dr. Taherkordi actively contributes to several research initiatives including the CPS Lab at UiO for Cyber Physical Systems, DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, and the Gemini Centre on IoT at UiO. His work bridges theoretical advances with practical implementations in transportation systems, environmental monitoring, and industrial automation.
Farhat Taj is an Associate Professor at the Department of Child Welfare and Social Work , UiT The Arctic University of Norway, with research focusing on legal pluralism , women's human rights , religious extremism , and Afghanistan-Pakistan relations . Her work bridges Social Work , Political Science , and Law . Department of Child Welfare and Social Work, UiT Member of The Grey Zone, Indigenous Voices, WarPeD, and SAMPRO research groups Expert on Islam, human rights, and ontological security in conflict zones Research Trends: Her recent publications analyze enforced disappearances in Pakistan's war on terror, digital economic violence against immigrant women, and ontological security dynamics in South Asia. She examines how sharia councils and multicultural legal frameworks intersect with gender equality. Public Engagement: Taj contributes to podcasts , blogs , and media commentary on topics like eid celebrations , Pashtun identity , and immigrant integration in Norway.
Seffetullah Kuldas is currently a Postdoctoral Fellow at the University of Oslo's Department of Media and Communication, funded by a Marie Skłodowska-Curie Actions – Individual Fellowship (MSCA–IF). His research focuses on ethnicity-based parenting for children’s online safety, educational resilience against bullying and socioeconomic challenges, and unconscious cognitive processes. He previously held a postdoctoral position at Dublin City University’s Anti-Bullying Centre, studying Roma children’s experiences with ethnicity-based bullying. His work integrates empirical research with policy recommendations, often using EU Kids Online datasets and peer-reviewed publications. Key research interests include parental mediation strategies, transactional resiliency frameworks, and the intersection of unconscious mind theories with educational practices. He has contributed to developing validated scales for anti-bullying self-efficacy and has explored digital divides in online safety awareness. Teaching roles: Guest Lecturer at Dublin City University and the University of Science Malaysia, covering topics like ethnicity-based bullying, metacognition, and research methodologies. Awards: MSCA–IF Fellowship, Best Research Award, and multiple Best Publication accolades. Publications span 20+ peer-reviewed articles in journals like International Journal of Communication and Youth & Society , focusing on bullying prevention, digital parenting, and cognitive resilience. His projects emphasize marginalized communities, including Roma children and ethnic minorities in Europe, addressing both academic and societal impacts through collaborative research and policy engagement.
Georgios Kavallieratos is an Associate Professor at the University of Oslo's Institute of Transport Economics, specializing in the Section for Autonomous Systems and Sensor Technologies. His research focuses on cybersecurity in maritime systems, cyber-physical systems, and risk management. He actively contributes to the DESSI project on energy system security infrastructure. His research interests include maritime cybersecurity, cyber-physical system security, and the intersection of safety and security in autonomous systems. His work addresses threats to navigation systems, smart farming, and satellite communications, with a focus on developing risk assessment frameworks and robust cybersecurity controls. Recent publications emphasize maritime cybersecurity trends, integrated navigation system protection, and threat analysis in emerging technologies like Dairy Farming 4.0. He co-authored foundational papers on cyberattack defenses for autonomous ships and cybersecurity requirements for Shipping 4.0. Current projects involve enhancing societal awareness of cybersecurity risks and improving incident response strategies for critical infrastructure. His work bridges theoretical cybersecurity principles with practical applications in transportation and industrial systems.
Norwegian University of Science and TechnologyNorway
Aida Akbarzadeh is a Senior Researcher at the Norwegian University of Science and Technology (NTNU) , specifically within the Department of Information Security and Communication Technology under the Faculty of Information Technology and Electrical Engineering . Her work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems (CPS). Research Areas: Threat modeling, digital twins for security, dependency-based risk analysis, advanced persistent threats (APT), IT/OT integration, and industrial control system vulnerabilities. Publications: Recent work includes studies on automating threat modeling, digital twin applications, APT attacks on power grids, and protocol-specific vulnerabilities (PTP, IEC 61850, IEC 60870-5-104). Collaborations: Active in interdisciplinary research with colleagues like Laszlo Erdodi, Siv Houmb, Sokratis Katsikas, and Tore Soltvedt. Labs & Groups: Member of the Critical Infrastructure Security and Resilience Group (CISaR) . Contact: aida.akbarzadeh@ntnu.no
Norwegian University of Science And TechnologyNorway
Dr. Aida Akbarzadeh is a Postdoctoral Researcher at NTNU's Department of Information Security and Communication Technology, specializing in cybersecurity for critical infrastructure and cyber-physical systems. She holds a Ph.D. in Information Security and Communication Technology and leads research in the Critical Infrastructure Security and Resilience (CISaR) group. Her research focuses on developing advanced threat models for industrial control systems and maritime autonomous systems. Recent projects include vulnerability analysis of power grid substations and navigation systems. Publications demonstrate consistent focus on cybersecurity frameworks for critical infrastructure, with emerging applications in maritime autonomous systems and evolving threat landscapes. Her work integrates practical testing environments through dedicated cybersecurity testbeds.
Norwegian University of Science And TechnologyNorway
Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.
Norwegian University of Science and TechnologyNorway
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.
Norwegian University of Science and TechnologyNorway
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.
Norwegian University of Science And TechnologyNorway
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.
Frode Eika Sandnes is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design , Oslo Metropolitan University , focusing on Human-Computer Interaction and Universal Design of ICT . His research spans innovative interaction techniques, skill reuse, pattern recognition, image analysis, and intelligent systems. Current research trends include accessibility in digital education, lightweight deep learning models, and physical interface usability Recent publications analyze color picker efficiency, 3D-printed prosthetics, and authentication technologies His work integrates interdisciplinary approaches to enhance usability and inclusivity in technology. Notable projects involve automated readability assessments and AI applications in diverse domains like aquaculture and medical diagnostics.
/georgkav/georg.jpg)
