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Monica Kristiansen HoloneView profile

Associate Professor

• Software Reliability
• Blockchain in Software Traceability
• Agile Software Development
• +3 more

Monica Kristiansen Holone is the Head of Department at the Department of Computer Science and Communication at Oslo Metropolitan University (HIOF). She holds an Associate Professor rank and oversees the Master Programme in Applied Computer Science. Her academic background includes a PhD in Mathematics from the University of Oslo, focusing on quantitative methods for software reliability assessment in compound software systems. Her research interests span software reliability, blockchain applications in traceability, agile methodologies, and education in software project management. She has published extensively on topics such as component dependencies, failure probability modeling, and interdisciplinary teaching strategies. Dr. Holone’s work emphasizes bridging theory and practice, particularly in collaborative frameworks and educational innovation. Her recent publications reflect a focus on blockchain’s role in traceability and the integration of low-code/no-code tools in DevOps. Despite no explicitly listed awards, her contributions to software dependability and pedagogy are evident through her numerous peer-reviewed articles and editorial roles.

• Serious Games
• Games for Health
• Virtual Reality
• +5 more

Simon McCallum is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He transitioned to academia in 2009 after working as a game developer in Norway. His research focuses on Serious Games, particularly in health applications, Virtual Reality, and gamification. He holds a PhD in Computer Science from the University of Otago (2007) and has a multidisciplinary background in Mathematics, Psychology, and Philosophy. Education: Bachelor's in Computer Science (University of Otago) PhD in Computer Science (University of Otago, 2007) Affiliations: NTNU since 2009 Previously worked in game development startups in Norway His research interests include Games for Health , Augmented Reality , and Medical Education . Notable projects include Smartkuber (a cognitive health game for the elderly) and AR applications for neurosurgical training. He has collaborated extensively on gamification strategies in healthcare and software education. His publications span topics like volumetric terrain rendering, cognitive screening via games, and educational game design. His work emphasizes bridging technology with healthcare and education through immersive experiences.

• Software-intensive systems
• Digital transformation
• Artificial intelligence
• +16 more

Anniken Susanne Thoresen Karlsen is an Associate Professor in the Department of ICT and Science at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). She has extensive experience in research and teaching, with a focus on digital transformation, software-intensive systems, and emerging technologies. Karlsen holds leadership roles including deputy chair of the interdisciplinary NTNU research group SHAPE and active participation in multiple research centers. Her educational background includes: PhD in Information Science from the University of Bergen (UiB) Master's degree in Information Technology from Aalborg University (AAU) in Denmark Master of Science in Economics from the Norwegian School of Economics (NHH) Computer Engineering degree from Møre og Romsdal School of Engineering (MRIH) One-year practical-pedagogical education from NHH and UiB NTNU's UniPed program for employees Professor Karlsen's research spans a wide spectrum of digital transformation topics. Her work focuses on the integration of concepts from multiple domains to design and develop software-intensive systems. She explores modern software development methodologies, socio-technical systems thinking, and systems engineering approaches. A significant portion of her research addresses emerging technologies such as digital twins, virtual reality, and service robots as building blocks for innovative solutions. She also investigates the digital economy and sustainable development through digital transformation, with particular emphasis on business modeling and change management. Her recent publications demonstrate a strong focus on applying digital technologies to solve real-world problems across multiple sectors. There's a clear trend toward using digital twin technology in various contexts including urban planning, offshore wind farms, and healthcare. Her work in search and rescue operations shows consistent application of AI and knowledge management techniques. Karlsen's research bridges theoretical concepts with practical applications, particularly in sustainability-focused domains like renewable energy and healthcare. Professor Karlsen actively supervises students at all academic levels and has been involved in numerous research projects. She has held various academic leadership positions including vice-dean, head of department, and research group leader. Her collaborative work spans multiple sectors including healthcare, search and rescue, offshore, banking, food, and construction industries. She is affiliated with several research groups and centers: SHAPE - SamHandlingsArena for Prosjektledelse og Endring (2023-present), Deputy Chair The Norwegian Open AI Lab (NAIL) (2023-present) Green2050 - The Centre for Green Shift in the Built Environment (2022-present) Forskningsarena for bærekraftsanalyse (2020-present), Deputy Leader Forskningsgruppen for bærekraftig digital transformasjon, SDT (2017-present), Founder and former Leader

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +4 more

Andrii Shalaginov is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cybersecurity, IoT security, machine learning for threat detection, malware analysis, and digital forensics. He has contributed to numerous publications in top-tier journals and conferences, addressing challenges in smart IoT ecosystems, vulnerability detection, and energy-efficient security solutions. Key research interests include: Cybersecurity frameworks for international data spaces Resource-efficient IoT threat detection mechanisms Machine learning applications in malware classification and forensic readiness Energy optimization in AIoT networks His work spans academic collaboration, with notable contributions to frameworks like IoTvulCode for vulnerability detection and MEML for edge-based attack detection. He frequently publishes in venues such as IEEE Access, Future Generation Computer Systems, and Sensors. Notable projects include: Development of distributed deep neural network-based middleware for IoT cyberattack detection Design of hybrid IoT cyber ranges for security training Analysis of blacklisted malicious domains in Windows environments He actively participates in academic workshops and conferences, emphasizing the integration of AI and big data analytics for cybersecurity challenges.

Guru Prasad BhandariView profile

Researcher

• Software Engineering
• Cybersecurity
• Machine Learning

Guru Prasad Bhandari is a Researcher at Kristiania University College, School of Economics, Innovation and Technology. He specializes in software engineering, cybersecurity, and machine learning, with a focus on vulnerability detection and automated security solutions. His work includes contributions to projects like CVEfixes, which systematically collects vulnerability fixes from open-source software. Bhandari earned his Ph.D. in 2019 from Banaras Hindu University (India) and completed a postdoctoral fellowship at Simula Research Laboratory (Norway, 2019–2022). He has authored numerous papers on topics such as IoT security, AI-driven vulnerability detection, and distributed cyberattack mitigation. Awards: Silver Jubilee Scholarship (2015) from ICCR Key Projects: CVEfixes (automated vulnerability dataset), IoTvulCode (AI for IoT vulnerability detection)

• Universal Design of ICT
• Web Accessibility (WCAG)
• Security and Privacy in Critical Infrastructure (SCADA systems)
• +9 more

Terje Gjøsæter is an Associate Professor at the Oslo Metropolitan University , affiliated with the Faculty of Technology, Art and Design and the Department of Computer Science . His research focuses on the intersection of Universal Design of ICT , Emergency Management , and Security and Privacy in Critical Infrastructure . Research Interests : Universal Design of ICT for Emergency Management. Web Accessibility (WCAG). Security and Privacy in SCADA Systems. Computer Language Theory, Domain-Specific Languages, Meta-Modelling (UML, MOF, ECORE). Recent Publications (2025–2020) highlight his expertise in: Emergency Management with emphasis on situational awareness, crisis information systems, and vulnerable populations. Accessibility innovations like barrier-free design and diversity-inclusive models. Security in critical infrastructure, including energy sector supply chains and landslide warning systems. Language Specification through abstraction frameworks and model-driven engineering. His collaborations span institutions like the University of Hawaii at Manoa , Mid Sweden University , and the SEMIAH Consortium , focusing on ICT for disaster risk reduction and resilient systems.

• Cybersecurity
• Cloud Computing
• Software Engineering
• +5 more

Lothar Fritsch is a Professor at the Department of Computer Science , Oslo Metropolitan University , specializing in Applied Cybersecurity . His work bridges academic research and practical implementation in privacy technology, identity management, and cyber defense. Key research areas: Cybersecurity, Cloud Computing, Privacy Risk Assessment, AI in Security, Internet of Things Teaching: Network Security, Privacy by Design, IoT Security Recent publications focus on privacy impact assessment, AI-powered attack modeling, thermographic authentication defenses, and medical data harm modeling. His work addresses both technical and societal aspects of cybersecurity, including ethics in AI and digital identity systems. Collaborations span industry, public organizations, and Nordic AI research networks. He maintains a blog on information security in education and research at OsloMET.

Rune Werner FensliView profile

Researcher

• Health Informatics
• eHealth
• Health Care Technology
• +9 more

Rune Werner Fensli is a Researcher at the Centre for eHealth , affiliated with the University of Agder in the Department of Information and Communication Technology . With a Ph.D. in Wireless ECG Sensors (2008) , his work focuses on health informatics, eHealth, and healthcare technology. He has extensively studied telecare, telehealth, collaborative teamwork across organizational borders, data security in cloud-based medical services, usability evaluation of medical devices, and innovation in future healthcare services. Research Areas: Health Informatics, eHealth, Wireless Sensors, Body Area Networks, Chronic Disease Management His publications from 2015–2023 demonstrate expertise in remote monitoring systems (e.g., ECG247 Smart Heart Sensor), patient-centered care models, collaborative health information systems, and telemedicine service design. He emphasizes user-centered design, organizational integration, and technical infrastructure for sustainable healthcare solutions.

• Sustainable Supply Chain
• Reverse Logistics
• Location and Network Design
• +7 more

Hao Yu is a tenured Associate Professor and Program Leader for the Master in Industrial Engineering at UiT The Arctic University of Norway , Department of Industrial Technology. His research focuses on real-problem-driven model development and applied operations research for sustainable supply chains, reverse logistics, location/network design, service systems, and smart logistics in Industry 4.0/5.0. He combines predictive , prescriptive , and descriptive analytics in Industry 5.0-enabled Smart Digital Logistics Twins to address challenges in reverse logistics, epidemic logistics, and remanufacturing systems. Current Projects : Industry 5.0 enabled Smart Logistics (2023-2026) - HK-dir/UTFORSK Digital Reverse Logistics Twin 5.0 (2026-2029) - FRIPRO AI for Cyber-Sustainable Engineering Education (2025-2026) - Nordplus Professional Affiliations : NORS (Norwegian Operations Research Society) EWGSSC (EURO Working Group on Sustainable Supply Chains) EWGLA (EURO Working Group on Location Analysis) EURO Working Group on Practice of OR Editorial Roles : Associate Editor - IEEE Transactions on Intelligent Transportation Systems Associate Editor - World Journal of Engineering Editorial Board - Science Progress, Discover Sustainability, Logistics, Eng Teaching Portfolio : SB_ME_IIT_0001_Prosjektledelse (Microcredential, 2026-) INE-3612 Industry X.0 (Master, 2023-) INE-3800 Operations Research 1 (Master, 2022-) INE-3605 Project Management (Master, 2015-2022) TEK-6005 Industry 4.0 (EVU, 2020) INE-3609 Supply Chain Management (Postgraduate, 2019 & 2022-) Hao Yu's recent publications (2022-2025) demonstrate expertise in electric vehicle infrastructure modeling, railway cold chain forecasting, maritime scheduling, and digital twin applications. His work spans optimization/simulation models addressing sustainable logistics, reverse supply chains, and Industry 4.0/5.0 transitions, with case studies focused on Norway and the oil/gas sector.

• Information Security
• Cybersecurity
• System Administration
• +7 more

Erik Hjelmås is an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) campus in Gjøvik. He has been employed at NTNU (formerly HiG) since 1996 and currently serves as the study program manager for the Bachelor in Digital Infrastructure and Cybersecurity program. His educational background includes: Cand.mag (1994) in computer science from Hedmark District University College and mathematics from Telemark District University College M.Sc. (1996) in information science with a specialization in artificial intelligence from University of Pittsburgh Dr. scient. (2005) in computer science with a thesis in facial recognition from University of Oslo Hjelmås has extensive expertise spanning information security, system administration, and digital infrastructure. His primary research interests include Information Security, Cybersecurity, System Administration, Facial Recognition, Data Security, Cloud Computing, Virtualization, Automation, Data Storage/Retrieval, and Network Security. His work bridges theoretical research with practical applications in cybersecurity education and infrastructure management, with particular focus on integrating security practices into system administration workflows and developing comprehensive cybersecurity curricula. His publication record demonstrates an evolution from early work on facial recognition algorithms (2001-2006), to more contemporary research on cybersecurity education, digital forensics, and information assurance in system administration. The recent publications particularly address practical cybersecurity challenges in higher education institutions, password policies, and professional community building within digital infrastructure. Hjelmås plays a central role in building the professional community within digital infrastructure/IT operations and information security/cybersecurity at NTNU campus Gjøvik. He teaches core courses including 'Operating systems' and 'Infrastructure: secure basic services' and has previously taught Infrastructure as Code, system administration, data communication and network security, computer system security, artificial intelligence, IT for teachers and computer engineering.

• Internet of Things (IoT)
• Edge Computing
• Digital Twins
• +6 more

Hui Song serves as an Assistant Professor in the Department of Computer Science at Oslo Metropolitan University's Faculty of Technology, Art and Design. Based at Pilestredet 52, Oslo, their work bridges theoretical computer science and practical IoT security applications within the Innovation, Digital Transformation and Sustainability research group. Research spans Internet of Things security , Edge Computing , and Digital Twin architectures with emphasis on trust management and secure software updates. Key interests include community-driven generative AI development, cloud-to-edge continuum security, and sustainable computing frameworks for IoT ecosystems. Recent projects address identity management in constrained devices and resilience engineering for critical infrastructure. Analysis of 2023-2025 publications reveals a consistent focus on security orchestration for IoT/CPS systems through digital twin implementations and intent-based data operations. Emerging trends show increased exploration of ethical generative AI applications and migration strategies from monolithic to microservice architectures in cloud-native environments. Active in both European research collaborations and industry-facing dissemination, Dr. Song contributes to advancing secure, sustainable computing practices through 56+ scientific publications and practical implementation frameworks developed with international partners including Rustem Dautov and Nicolas Ferry.

Alok MishraView profile

Professor

• Artificial Intelligence
• Software Engineering
• Cybersecurity
• +8 more

Alok Mishra is a Professor at Molde University College, affiliated with the Faculty of Logistics. His research focuses on Artificial Intelligence, Software Engineering, Cybersecurity, and Digitalization, with a strong emphasis on blockchain technology, machine learning, and sustainability. He leads the research group 'Digitalization for Sustainability Informatics and Digitalization.' Key projects include 'Building Trust in Global Seafood Supply Chains Through DNA Analysis, Digital Product Passports (DPPs), and Blockchain Technology.' His work spans interdisciplinary areas such as AI ethics, data privacy, and IoT-based systems. Recent publications highlight advancements in code smell detection, cybersecurity policy development, and green AI initiatives. His research trends reflect a blend of theoretical and applied studies, addressing challenges in software quality, blockchain integration, and sustainable tech solutions. Collaborations with global researchers underscore his commitment to impactful, cross-disciplinary innovation.

• Cybersecurity
• Industrial Control Systems
• SCADA Protocol Security
• +3 more

Siv Hilde Houmb is a Professor at the Department of Information Security and Communication Technology within the Norwegian University of Science and Technology (NTNU) . Her research focuses on cybersecurity for industrial control systems, particularly SCADA protocols, power grid infrastructure, and model-based risk assessment approaches. Key Research Areas: Industrial Control Systems, SCADA Security, UML Modeling, Risk-Driven Development, Critical Infrastructure Protection, Threat Intelligence Recent Publication Trends: Analysis of APT attacks on IEC 61850 substations, hardware-in-the-loop testing for cyber resiliency, protocol-specific vulnerabilities in power grids, and workshop proceedings on critical infrastructure cybersecurity

Andreas PrinzView profile

Professor

• Systems Engineering
• Model-Driven Engineering
• eHealth
• +7 more

Andreas Prinz is a Professor of Systems Engineering at the University of Agder since 2003. He previously served as Vice-Dean for Research (2016-2023) and Scientific Head of eHealth Centre (2017-2019). His academic journey includes guest professorship at Technical University of Cottbus (2000-2001), habilitation at Humboldt University (2001), and PhD in Computer Science (1990). Education: 2001: Habilitation, Humboldt University Berlin 1990: PhD in Computer Science, Humboldt University 1988: M.Sc. in Mathematics, Humboldt University Research Interests: Prinz leads the Systems Engineering and Modeling group. His work spans three major areas: Meta-Modeling and DSLs: Through the SMILE project , he develops domain-specific languages for formal system definitions, including the LanguageLab environment. Educational Technology: Focuses on pedagogical use of technology rather than invention, including the Success MOOC and Success Wiki platforms. Health Technology: Develops personalized eCoaching systems for health promotion, including the Center for eHealth initiatives and ProHealth eCoach applications. Publication Trends: His recent work (2022-2024) shows a strong focus on: Integrating machine learning and ontologies for personalized health recommendations Advancing model-driven engineering and DSL development through meta-modeling Exploring social simulation and emergency response systems with real-time data processing Developing secure microservice architectures for health applications Creating game-based learning environments for healthcare education Investigating social dynamics through computational models of marginalization Advising and Leadership: Prinz has supervised numerous PhD, Master's, and Bachelor's theses through the SMILE and LanguageLab projects. He led the ICT department (2007-2015) and served as Vice-Dean for Research (2016-2023). Labs and Teams: He is associated with: SMILE (Systems, Modeling and Language Engineering) Center for eHealth Academic e-Sports and Game Didactics Social Simulation

Frank EliassenView profile

Emeritus Professor

• Distributed systems
• Middleware
• Self-adaptive software systems
• +5 more

Frank Eliassen is an Emeritus Professor at the University of Oslo's Department of Informatics, specializing in distributed systems and energy informatics. His research spans middleware, IoT, fog computing, and cyber-physical systems with applications in sustainable energy solutions. Research interests focus on: Distributed systems architecture Adaptive peer-to-peer networks Energy-efficient computing Smart grid technologies Cyber-physical system security Publications demonstrate consistent focus on energy informatics, distributed computing security, and renewable energy integration, with recent work exploring AI/ML applications in energy systems. Leads multiple research initiatives including LUCS, AirQMan CPS Lab, DILUTE, and SmartNEM projects addressing smart grid development and IoT systems.