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Dag Wiese SchartumView profile

Professor

• eGovernment
• Data Protection
• Legislative Drafting
• +3 more

Dag Wiese Schartum is a Professor at the Department of Private Law, Faculty of Law, University of Oslo. His research focuses on eGovernment, data protection, legislative drafting, and legal technology, particularly the automation of legal decision-making in public administration. He explores how legal rules are translated into programming code, ensuring compliance with data protection laws and maintaining rule of law principles in automated systems. He holds a prominent position in legal technology research, addressing challenges such as algorithmic bias mitigation, privacy by design, and the development of automation-friendly legislation. His work emphasizes interdisciplinary approaches between law, computer science, and public policy. Key projects include 'Power and Human Dignity in Digital Working Life' and 'Respire - Responsible Explainable Machine Learning for Sleep-related Respiratory Disorders.' He is affiliated with the Labour Law Group and the Law and Technology research group at the University of Oslo. His publications span over three decades, focusing on topics like semantic interoperability in electronic government, legal definitions in modern laws, and the procedural aspects of intelligible data protection legislation.

• Model-Driven Engineering
• Service-Oriented Architecture
• Systems Design
• +4 more

Urooj Fatima is a Research Fellow in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). Her work focuses on model-driven engineering, systems design, and service-oriented architectures. She holds a PhD from NTNU (2017), where her doctoral research centered on modular methods for service specification and component design derivation. Her research interests include modular design methodologies, behavioral modeling of systems, and the application of human-centered frameworks in sustainable systems. She has published extensively on topics such as choreography models, component interaction, and model-driven service engineering. Key contributions include advancements in interface-modular methods for global system behavior specification and frameworks for deriving detailed component designs from high-level service specifications. Her work has been presented at venues like the International Conference on Model-Driven Engineering and Software Development, and she collaborates with institutions globally on systems design and modeling challenges.

• Intelligent Transport Systems
• Model-Based Engineering
• Network Security
• +6 more

Peter Herrmann is a Professor at the Department of Information Security and Communication Technology at NTNU. His work focuses on intelligent transport systems, networked service engineering, and security aspects of distributed systems. He leads projects like IoT-STOP (2019-2021) and MobiTrack (2018-2020), addressing real-time location tracking and context-aware mobile services. Research interests include model-based engineering of collaborative network services, formal specification of technical systems, and trust management frameworks. His competencies span communication systems, IoT, and system development methodologies. Key projects include Arctis (2010-2012), EuroNF (2008-2011), and ISIS (2007-2011), demonstrating long-term engagement in network infrastructure and service integration. Tools like Reactive Blocks highlight his practical contributions to networked service engineering. No explicit awards listed. Advising and grants involve major research initiatives funded by Innovasjon Norge and NFR. Active in tool development and academic leadership within his department.

• Cybersecurity
• Network Security
• Cloud Security
• +8 more

Chhagan Lal is a Postdoctoral Fellow at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Norway. He is part of the Critical Infrastructure Security and Resilience (CISaR) group and currently contributes to the EU-funded CYBERUNITY project. Certified in CISSP, CCSP, and Microsoft Azure Security (SC-100/200/300, AZ-500), he specializes in cybersecurity frameworks, compliance, risk assessment, threat intelligence, and machine learning applications. His research focuses on advancing security and resilience in critical infrastructure, particularly in network and cloud security technologies. Key areas include Internet of Things (IoT) and Industry 4.0, Cyber-Physical Systems (CPS), Software Defined Networking (SDN), Information Centric Networking (ICN), and blockchain technologies for smart contracts. He has also worked on secure communication protocols for underwater acoustic networks and mobile ad-hoc networks (MANETs). Chhagan has been actively involved in multiple EU projects, including H2020-SU-SEC-2018 (LOCARD), H2020-ICT30-2015 (TagItSmart!), and EU-India collaborations (REACH). His professional activities include serving as a journal reviewer for IEEE Transactions and Elsevier publications, Program Chair for ACM WiSec 2017, and Publicity Chair for ACNS 2020 and related conferences. He has also contributed as a Program Committee Member to several cybersecurity-focused events. His work emphasizes secure solutions for MANETs, VANETs, and industrial IoT systems, including projects like CENSOR (Cloud Enabled Secure IoT Architecture over SDN) and blockchain-based frameworks such as LEChain. Chhagan has authored book chapters on topics like secure machine-to-machine communication and vehicular cloud computing. No scientific awards are explicitly mentioned in the provided texts. His research spans theoretical and practical cybersecurity challenges, with a focus on developing robust countermeasures against DDoS attacks, enhancing QoS in multimedia networks, and privacy-preserving mechanisms in vehicular and industrial systems.

• Machine Learning
• Computational Science
• Artificial Intelligence
• +5 more

Hans Georg Schaathun is a Professor of Computer Science at the Department of ICT and Science, NTNU. He holds a Dr.scient. in coding theory (University of Bergen, 2002) and a PGCAP in academic practice (University of Surrey, 2008). His research spans machine learning applications in cosmology (gravitational lensing simulation for dark matter mapping), biomedical engineering (meniscal mechanics modeling), and pedagogy-focused AI studies. He is a Merited Teacher (2017) and has authored over 100 publications across journals like Design Studies , Journal of Biomechanics , and conferences such as ECMS and NIKT. Research interests include interdisciplinary design methodology, mathematics didactics, and the philosophical intersections of AI with human cognition. Recent work focuses on blood glucose prediction algorithms, knee surgery simulations, and computational modeling of cosmic phenomena. He collaborates with institutions like the University of Bergen and international teams on medical and aerospace projects. Key contributions include publications on steganalysis, cryptographic fingerprinting, and model-driven software engineering. His teaching innovations include flipped classrooms and active learning strategies, documented in works like Maskinlæring og studentlæring (2022).

• Artificial Intelligence
• Data Science
• Marine Environmental Monitoring
• +6 more

Di Wu is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences and the Department of Language and Literature. Located at the Ålesund campus, Wu's academic work bridges computational methods with environmental and linguistic applications. Research interests include: AI-driven solutions for urban water supply systems Marine environmental monitoring through citizen science platforms Fluid simulation techniques Deep learning architectures Epidemiological modeling Financial data analysis Recent publications demonstrate expertise in computer vision, multi-source remote sensing analysis, and multimodal sentiment processing. Wu's work spans applications in medical diagnostics, environmental science, and industrial automation. Key projects include: PlastOPol marine litter monitoring system COSE ocean simulation environment Computational risk modeling for sustainable urban water supply

Fazle RabbiView profile

Associate Professor

• Healthcare Informatics
• Model-Driven Engineering
• Artificial Intelligence in Mental Health
• +5 more

Fazle Rabbi is an Associate Professor at the University of Bergen's Department of Information and Media Studies, affiliated with the Intelligent Information Systems (I2S) research group. His research focuses on model-driven engineering, healthcare informatics, and adaptive e-mental health systems. He has contributed to projects like the INTROMAT initiative, which integrates interdisciplinary approaches to improve mental healthcare through technology. Education: PhD in Computer Science from the University of Oslo (2017), supervised by Ingrid Chieh Yu, Yngve Lamo, and Lars Michael Kristensen. His doctoral work centered on model-driven techniques for complex software systems analysis. Research Interests: His work spans healthcare system design, privacy-preserving machine learning, clinical decision support systems, and the application of AI in journalism and mental health. Notable contributions include frameworks for news content analysis, gamified clinical guideline training systems, and adaptive infrastructure for internet-delivered psychological treatments. Collaborations: Active in cross-disciplinary projects funded by the Research Council of Norway (e.g., Project 259293). Key collaborators include Tine Nordgreen (mental health), Yngve Lamo (model-driven engineering), and Jim Tørresen (AI applications). Grants: Lead and co-investigator on several grants focusing on e-mental health infrastructure development and AI-driven healthcare solutions.

• Communication and Distributed Systems
• Internet of Things
• System Development
• +5 more

Peter Micael Herrmann is a Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His research spans multiple domains including distributed systems, IoT, and security, with affiliations across Norway, Germany, and Australia. Research Focus: Herrmann's expertise centers on communication systems, IoT applications, and intelligent transport solutions. His work integrates theoretical foundations with practical system development, emphasizing security vulnerabilities and knowledge-based approaches. Key domains include: Distributed network architectures and concurrency models Synthetic data generation for adaptive IoT sampling Theoretical computing and formal methods for system reliability Publication Trends: Recent works demonstrate a strong focus on IoT data optimization and spatio-temporal network analysis. His 2024 publications include synthetic data frameworks for IoT devices and model-driven engineering advancements. Earlier works frequently address concurrency, formal verification, and transport system safety. Achievements: Best Paper Award at ENASE 2016 for transport system safety methodology Best-Track Paper Award at APSCC 2014 for services computing IME Faculty's Learning Environment Award (2015) Multiple conference award nominations including IOV 2019 Projects & Collaborations: Herrmann has led projects like Ubiquitous Computing For All Users (UbiCompForAll) and contributed to initiatives such as Semantic Interfaces for Mobile Services (SIMS). His work involves cross-institutional teams with SINTEF, Telenor, and international partners, focusing on mobile services and integrated infrastructure.

Agaraoli AravazhiView profile

Researcher

• Artificial Intelligence
• Healthcare Operations Management
• Predictive Analytics
• +3 more

Agaraoli Aravazhi is a Scientific Staff member at the Logistics Department of Molde University College - Specialized University in Logistics, specializing in AI applications for healthcare and logistics systems. He holds a Bachelor of Technology in Mechanical Engineering from Amrita Vishwa Vidyapeetham University and a Master of Science in Engineering Logistics from Molde University College. Education : B.Tech (Mechanical Engineering), MSc (Engineering Logistics) Research Groups : Center for Healthcare Operations Management, ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), Digitization for Sustainability His research focuses on AI-driven hospital production processes , predictive analytics for healthcare operations , and logistics optimization . He has contributed to studies on patient treatment process monitoring, surgical case volume forecasting, and inventory management in hospitals. The scientific publications highlight his work in applying hybrid machine learning models to healthcare challenges, developing connectivity metrics for transportation systems, and exploring blockchain applications for health records. While no formal awards are listed, his research involves collaborations across multiple disciplines including medicine, logistics, and data science. Additional contributions include teaching SAP best practices for digital workforce preparation and text mining applications for extracting insights from hospital administrative documents. He is actively involved in the Center for Healthcare Operations Management, focusing on transforming clinical workflows through technology.

• Privacy
• Usability
• Artificial Intelligence
• +7 more

Johanna Johansen is an Associate Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU) . She holds a PhD in Computer Science from the University of Oslo (2021), with post-educational training from the IFIP Summer School and other interdisciplinary programs. Research focuses on privacy usability , AI bias , and sustainability in technology Developed novel concepts like Usable Privacy Cube and Privacy Labels Teaching responsibilities include web technologies and front-end development courses Research Highlights: Interdisciplinary work spans GDPR compliance, AI ethics, and IoT security with publications in venues like AI & Society and Information & Computer Security. Her groundbreaking research on human-to-computer bias transference has been cited in top venues including Communications of ACM. Scientific Awards: Recipient of the Kristine Bonnevie fellowship (2020) Collaborations: Partnerships with Chalmers University, Karlstad University, EuroPriSe, and industry leaders like Forsta AS and Tellu IoT AS. Active in European projects SCOTT and IoTSec with budgets exceeding 30 million Euros/NOK. Outreach: Developed accessible explanations of privacy concepts through video presentations and storytelling publications, including work with EuroPriSe on GDPR certification processes.

• Software Engineering
• Software Security
• Artificial Intelligence in Software Engineering
• +2 more

Professor Jingyue Li is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. in Software Engineering from NTNU in 2006 and maintains extensive industry experience from global corporations including IBM and DNV Research and Innovation. She currently serves on the EASE steering committee and holds the position of General Chair for FSE 2025. Her educational background includes: Ph.D. in Software Engineering from NTNU (2006) Professor Li's research spans empirical software engineering with core focus areas in software security, AI integration in software development, and blockchain technologies. Her methodological approach emphasizes design science to create innovative tools and frameworks, particularly for security-critical systems and decentralized applications. Recent projects demonstrate strong industry collaboration in supply chain management, smart city infrastructure, and healthcare technology. Analysis of her 2023-2025 publications reveals dominant themes in blockchain governance (40%), security vulnerability detection/repair (35%), and AI-enhanced software engineering (25%). Key trends include empirical studies of Bitcoin consensus evolution, development of decision support systems for blockchain design patterns, and novel techniques for detecting unexploited smart contract vulnerabilities. Her work consistently bridges theoretical advances with practical industrial applications. Professor Li actively contributes to the research community through leadership roles including General Chair for FSE 2025 and EASE steering committee membership. Her grant portfolio features significant projects such as PaaSforChain (2020-2023, PI), CyberSmart (2017-2020, PI), and TRACE4EU (2023-2025, Key Scientist), demonstrating sustained funding success across blockchain, security, and AI domains. International collaborations include research visits to University College London, University of Washington, Hiroshima University, and Peking University. Her research is conducted within NTNU's Department of Computer Science, where she integrates cutting-edge industry experience with academic rigor to advance software engineering practices in security-critical and blockchain-based systems.

• Cybersecurity
• Digital Forensics
• Machine Learning
• +3 more

Carl Stuart Leichter is an Adjunct Associate Professor at the Department of Computer Science , Norwegian University of Science and Technology (NTNU). With over 40 years of experience in science and technology, his career spans biomedical research, nuclear security, mathematics teaching, and machine learning applications. Current roles: Teaching Data Science for Security and Forensics at NTNU Active research: Cyber threat intelligence, digital forensics, and machine learning Leadership: Conducts seminars for Master's candidates in scientific research Research Focus: Professor Leichter's work bridges cybersecurity and data science, particularly in extracting intelligence from hacker forums using machine learning techniques. His recent publications highlight applications of Support Vector Machines, neural networks, and hybrid analytical frameworks. Outreach & Collaboration: Engaged in international cyber capacity development through INTERPOL's ASEAN project and the Research School of Computer and Information Security (COINS) Winter School.

Paolo SpagnolettiView profile

Associate Professor

• Digital Platforms
• Digital Innovation
• Cybersecurity
• +3 more

Paolo Spagnoletti is an Associate Professor at the University of Agder , Department of Information Systems, and holds the Vodafone Chair in Cybersecurity and Digital Transformation at Luiss University . Key roles include: Co-leader of research groups CIEM - Centre for Integrated Emergency Management and ICT4D - Information and Communication Technologies for Development PhD in Information Systems from Luiss University Teaching IS 425 Enterprise Systems and Security Architecture Research focuses on digital platforms , digital innovation , and cybersecurity , with publications in journals like Journal of Information Technology , IEEE Transactions on Engineering Management , and Computers & Security . Recent work explores blockchain applications, digital resilience in critical infrastructures, and cloud ecosystem governance. Awards and affiliations: Distinguished Member , Association for Information Systems (AIS) Collaborations span institutions such as Luiss University , Springer , and Edward Elgar Publishing . Research emphasizes practical applications in cybersecurity architectures, digital transformation, and data governance.

Peter Csaba ØlveczkyView profile

Professor

• Computer Science
• Reliable Systems
• Networked Systems
• +7 more

Peter Csaba Ølveczky is a Professor at the University of Oslo specializing in Reliable Systems . He is affiliated with the research groups Concurrent Security and Robustness for Networked Systems (ConSeRNS) and Reliable Systems (PSY) . His research focuses on formal methods , concurrent systems , and robust networked systems , emphasizing the development of rigorous techniques for ensuring correctness and security in complex software environments. The ConSeRNS initiative highlights his work on integrating security with concurrent programming paradigms. Contact details include email peterol@ifi.uio.no and phone +47 22852498 at room 8463 in Ole-Johan Dahl's House, Gaustadalléen 23 D, Oslo.

Tor-Morten GrønliView profile

Associate Professor

• Internet of Things
• Machine Learning
• Software Architecture
• +4 more

Tor-Morten Grønli serves as Associate Professor in Digital Innovation at the University of Oslo's Department of Informatics (IFI), holding a PhD in Computer Science from Brunel University, London. His research bridges theoretical computer science with practical applications in intelligent systems. Specializing in Internet of Things, machine learning, and software architecture , his work demonstrates particular expertise in transport systems and healthcare applications. Recent publications reveal a strong focus on blockchain integration, federated learning for edge networks, and mobile sensor applications - with notable contributions to public transport optimization and medical IoT security. His 15 most recent articles (2023-2025) show consistent publication in high-impact venues including IEEE Transactions and Springer conference proceedings, with recurring themes of secure distributed systems and intelligent transport solutions . Collaborations span international institutions with frequent co-authorship patterns indicating stable research partnerships. Contact information is maintained through the university's standard email format ( tormor@ifi.uio.no ), reflecting active institutional affiliation. No specific research grants or laboratory facilities are detailed in the provided materials, though the publication record suggests ongoing funded research activity.