Research
Samuel's main research areas are cybersecurity, digital health, privacy engineering, data protection, privacy/data protection impact assessment of emerging technologies, and AI
Project participation:
2025 to date - Health Data Sweden (HDS)
2022 to date - Digital Health Innovation (DHINO)
2020 - 2022 - DigitalWell research
Teaching
Supervision:
I am eligible to supervise bachelor’s and master’s students in their research and academic projects, specifically on:
- Security and privacy of mobile medical systems. These include apps and mobile technology used for healthcare purposes
- Evaluating and addressing privacy harms (e.g. research, case studies) or methodologies (e.g. risk assessment, threat modeling).
Teaching:
I am\was involved in the following teaching assistantship/lecturing:
- Computer Security I & II (DVGC19 - DVGC20).
- Digital Health Innovation: Intersections of Design, Technology, and Gender (GVADWA).
- Information Security in Industries (IEGB01).
- Usable Security and Privacy (DVAE25).
- AI and cyber risk management in healthcare and social services (ISG100)
Bio
Samuel Wairimu is a researcher in Computer Science at the Department of Mathematics and Computer Science, Karlstad University. He earned his doctorate in Computer Science in 2024. His doctoral research was part of the DHINO project, where he focused on the security and privacy for digital health and assessing privacy risks and harms to users.
Before his doctoral studies, Samuel completed a Master's degree in Cybersecurity at the University of Chester, UK, in 2019. He focused on information security, including ISO 27001, ethical hacking, digital forensics and incident response, and software exploitation. His dissertation addressed mitigating code-reuse attacks, specifically, Return-Oriented Programming (ROP).
Selected publications
Wairimu, S., Iwaya, L.H., Fritsch, L. and Lindskog, S., 2024. On the Evaluation of Privacy Impact Assessment and Privacy Risk Assessment Methodologies: A Systematic Literature Review. IEEE Access.
Wairimu, Samuel, and Lothar Fritsch., 2022. Modelling privacy harms of compromised personal medical data-beyond data breach. Proceedings of the 17th International Conference on Availability, Reliability and Security.
Hatamian, M., Wairimu, S., Momen, N., & Fritsch, L., 2021. A privacy and security analysis of early-deployed COVID-19 contact tracing Android apps. Empirical software engineering, 26, 1-51.
Other
Let’s Collaborate!
I'm always excited to connect with like-minded individuals and organizations to conduct cutting-edge research, create innovative solutions, and make a meaningful impact. Looking forward to dive in the areas of:
- AI, digital health, cybersecurity, and privacy
- European Health Data Space (EHDS) - challenges and solutions
Feel free to get in touch!