As a Professor of Computer Science at the University of South-Eastern Norway (USN), I work on the digital infrastructure of the future: systems that are intelligent, resilient, secure and energy-aware. My research combines network modelling, optimisation, congestion control, AI/ML and cybersecurity, with a special focus on the Recursive InterNetwork Architecture (RINA), 5G/6G, IoT and autonomous network operations.
I coordinate several strategic initiatives at USN, including the Industry Bachelor in Information Technology and Information Systems, Microsoft Learn for Educators and the Cisco Networking Academy. I also supervise students in topics ranging from congestion control and network architecture to AI-enabled cybersecurity and applied machine learning. My teaching spans AI/ML, data engineering, full-stack development, cybersecurity and business intelligence.
Before joining USN, I held a research position at the University of Oslo and contributed to EU Horizon projects such as PRISTINE on programmable and virtualised networks. I also bring private-sector experience from software development, digital services, banking systems and loyalty-platform technologies. Across research, education and industry collaboration, my goal is to help design trustworthy digital infrastructures — and educate the engineers who will build them.
Responsibilities
- Program Coordinator of Industry Bachelor in Information Technology (IT) and Information Systems (IS)
- Program Advisor (Coordinator) of Microsoft Learn for Educators (MSLE) at USN
- Program Coordinator of Cisco Networking Academy (NetAcad) at USN
- Program Coordinator of Oracle Academy at USN
- Program Coordinator of RedHat Academy at USN
- Program Coordinator of AWS Academy at USN
Competences
Research Interests / Background:
- Intelligent, resilient, secure, and energy-aware networks
- Communication-network architecture
- Congestion control and performance optimisation
- AI/ML for autonomous network operations
- Cybersecurity and cyber resilience
- Cyber-physical systems and critical digital infrastructure
- Recursive InterNetwork Architecture
- 5G/6G, IoT and edge-connected systems
- Theoretical modelling, simulation and system design
- Adaptive, self-protecting and sustainable digital infrastructures
Teaching:
- Artificial Intelligence and Machine Learning (F24, S26)
- Business Intelligence and Data Warehouse (S24, S25, F25)
- Digital Transformation (F23)
- Full-Stack Development (F24)
- Object-Oriented Programming with Java (F23, S24, F25)
Certificates:
- Cisco Instructor training program for Cybersecurity Operations (CyberOps) – 2022
- IBM Data Science Professional – 2021
University Pedagogical Education:
- Development work for university pedagogy, UiO (50 hours, Spring 2023)
- Research Supervision, UiO (30 hours, 2022)
- Teaching and Learning in Higher Education - Introductory module. UiO, (120 hours, 2022)
Research Projects:
- IPv6-GENIE: An Agentic AI Assistant for IPv6 Planning, Configuration & Operations, USN, 2026.
- Optimizations to Comple Adoption of RINA (OCARINA), technical co-lead and researcher, UiO, 2022.
- Programmability In RINA for European supremacy of virTualised NEtworks (PRISTINE), work package co-leader and researcher, 2016.
Technical Skills:
- AI, Machine Learning & Agentic AI: machine learning, deep learning, LLM-based systems, RAG/knowledge agents, AI-assisted decision support, model evaluation, responsible AI, and applied AI for networking and cybersecurity.
- Data Science, Analytics & Decision Intelligence: statistics, optimisation, data engineering, SQL/PostgreSQL, data warehousing, big-data tools, visualisation, business intelligence, and data-driven decision-making.
- Network Modelling, Simulation & Performance Evaluation: congestion control, network optimisation, performance modelling, RINA, 5G/6G, IoT, wireless networks, cyber-physical systems, and simulation-based evaluation using tools such as OMNeT++, NS-2, Python, MATLAB and Mathematica.
- Cybersecurity & Cyber Resilience: AI-enabled cybersecurity, threat modelling, intrusion detection, network traffic monitoring, secure-by-design architectures, cyber-physical security, and resilience of critical digital infrastructure.
- Cloud, DevOps & Software Engineering: Python, Java, C/C++, R, SQL, Spring Boot, React, Docker, Git/GitLab CI/CD, cloud-based deployment, software architecture, and full-stack development.
- IoT, Edge & Embedded Systems: IoT devices, Raspberry Pi, Jetson Nano, Arduino, sensor-based systems, edge computing, and experimental cyber-physical prototypes.
- Software Processes & Project Methods: agile methodologies, DevOps practices, software project management, requirements analysis, iterative development, and industry-oriented system design.
- Industry and Applied Systems Experience: banking systems, digital service platforms, loyalty-programme systems, ISO 8583 messaging, smart-card technologies, and point-of-sale/payment-related systems.
Industrial Expertise:
- Software Project Management
- Designing digital services: loyalty programs
- Banking Systems: switching, messaging (ISO 8583)
Education:
- Ph.D. in Computer Science. Dissertation: Scalability in Wireless Ad Hoc Networks. 2013.
- Masters in Computer Science. Thesis: Distributed Network Management in Active Networks using CORBA. 2004.
- Bachelor in Computer Science. Thesis: Network Management using Java Management Extension. 2001.