Knut Omang

Knut Omang serves as an Associate Professor in the Department of Informatics at the University of Oslo, Faculty of Mathematics and Natural Sciences. His academic position has been maintained since completing his Dr.Scient (Ph.D) from the same department in 1998, where he has held the position of 1.amanuensis-II continuously.

His educational background includes a Doctor Scientiarum (Ph.D) from the University of Oslo's Department of Informatics (1998). Prior to his academic career, he gained extensive industry experience including positions at Oracle (2010-2020), Paradial (2006-2010), Fast Search and Transfer (2001-2006), and Scali (1998-2001).

Professor Omang's research spans virtualization technologies, high-speed interconnects, distributed systems architecture, and Linux kernel development. His work bridges academic research and practical industry applications, with particular focus on solving real-world challenges in system performance, maintainability, and scalability. He has developed significant open-source contributions including the Kernel Test Framework (KTF) for Linux kernel testing and has been actively involved in QEMU development.

His current research interests include challenges with Internet of Things networks, novel applications of commercial building sensor data, Rust programming language applications, and virtualization platform development. He actively supervises master's students on topics related to these research areas.

Professor Omang currently serves as CTO for Properate, a startup developing cloud-based solutions for monitoring and managing energy usage in commercial buildings, where he addresses challenges ranging from sensor network management to cloud infrastructure using Kubernetes.

• Haakon Andersen: Thesis on challenges around operating multiple gateways to remote sensor networks
• Arild Lillegård: Thesis on Test Driven Development in the Linux Kernel using KTF
• Christian Resell: Thesis on Forward-Edge and Backward-Edge Control-Flow Integrity Performance in the Linux Kernel

His teaching responsibilities include courses INF 3151/4151 and IN 5070, with a focus on supervising master's students in systems-level computing topics. His industry experience directly informs his academic work, creating a strong bridge between theoretical research and practical implementation.