Research
Leonardo Horn Iwaya is a Docent in Computer Science, working at the Department of Mathematics and Computer Science at Karlstad University (KAU). His work focuses on the responsible use of technology, encompassing areas such as Privacy Engineering, Cybersecurity, Trustworthy AI, Risk Analysis, and Impact Assessments. He is a member of the Privacy and Security Research Group at KAU, working on several Swedish and EU interdisciplinary projects related to digital health and social care.
Project participation:
2025 - Present OPErationalising Human Rights in the Design of AI-supported Digital Health (OPEHRA, KKS)
2025 - Present TRUstworthy huMAN-centric artificial intelligence (TRUMAN, EU Horizon)
2025 - Present Health Data Sweden (HDS, EU)
2024 - Present National Follow-up of Social Services Transition (NUSO)
2022 - Present Digital Health Innovation (DHINO)
2025 - 2026 Children of parents with psychiatric conditions (Forte)
2022 - 2022 CyberSec4Europe (H2020)
2022 - 2022 Secure and Private Connectivity in Smart Environment (SURPRISE, SSF)
2022 - 2022 TRUEdig (KKS)
2019-2019 PAPAYA: PLATFORM FOR PRIVACY-PRESERVING DATA ANALYTICS (EU)
2017-2019 Digital Well Research
2017-2018 Development of a Harmonized Modular Curriculum for the Smart Grid (DAMOC, Erasmus)
2015-2016 Nordic Digital Health Center (NDHC)
2015-2016 Smart Society (EU FP7)
2014-2015 High-Quality Networked Services in a Mobile World (HITS, KK Foundation)
Teaching
Supervision: I am eligible to supervise students in the bachelor's and master's programmes. Project topics include (but are not limited to):
- Trustworthy and responsible AI for digital health
- Ethical hacking and pen-testing of mobile apps
- Usability and quality evaluation of mobile apps
- Security and privacy in healthcare systems
- Empirical studies on privacy engineering
Involved in courses:
Foundations to Software Engineering (DVGB20)
Introduction to Programming and Data Handling (DVGA34)
Operating systems (DVGB01)
Computer Security I & II (DVGC19 - DVGC20)
Topics in Computer Security (DVAD03)
Designing for Privacy (DVAD33)
Privacy-Enhancing Technologies (DVAE21)
Usable Security and Privacy (DVAE25)
Collaboration
Cybernode Swede, co-leader of the Privacy by Design Group
Digital Health Innovation (DHINO) research group, Karlstad University (Sweden)
Interdisciplinary Study Group on Knowledge, Learning and Organizational Memory (KLOM), Federal University of Santa Catarina (UFSC, Brazil)
Bio
Work Experience
2022 - Present Associate Senior Lecturer, Department of Mathematics and Computer Science, Karlstad University.
2022 - 2022 Postdoctoral Research Fellow in Privacy and Security (PriSec), Computer Science, Karlstad University.
2021 - 2022 Postdoctoral Research Fellow in the Interdisciplinary Research Group on Knowledge, Learning and Organizational Memory (KLOM), Department of Psychology, Federal University of Santa Catarina.
2019 - 2021 Postdoctoral Research Fellow in Computer Science at the University of Adelaide. Project: Cybersecurity Cooperative Research Centre (Australia)
2019 - 2019 Lecturer in software engineering at the University of Adelaide.
University degrees and PhD’s
April 2025, Docent in Computer Science, Karlstad University, Sweden.
2014 - 2019 PhD in Computer Science
Karlstad University (KAU)
Supervisor: Simone Fischer-Hübner
Co-supervisors: Rose-Mharie Åhlfeldt and Leonardo A. Martucci
2012 - 2014 Master in Electrical Engineering
Universidade de São Paulo (USP-POLI)
Supervisor: Tereza C. M. B. Carvalho
Co-supervisor: Marcos A. Simplício Jr.
2006 - 2009 Bachelor in Computer Science
Universidade do Estado de Santa Catarina (UDESC)
Supervisor: Roberto S. U. Rosso Jr.
Selected publications
Morel, V., Iwaya, L.H. and Fischer-Hübner, S., 2025. AI-driven Personalized Privacy Assistants: a Systematic Literature Review. IEEE Access, vol. 13, pp. 160982-161002, 2025
Ängeby, K., Johansson, M., Børøsund, E., Varsi, C., Iwaya, L. and Nordin, A., Testing the Birth APP: a Randomized Controlled Trial. Journal of Medical Internet Research. 72807.
Wairimu, S., Iwaya, L.H., Fritsch, L. and Lindskog, S., 2025. Understanding practitioner perspectives on using privacy harm categories for privacy risk assessment. Journal of Information Security and Applications, 93, p.104174.
Svensson, P., Lin, S. and Iwaya, L.H., 2025. Usability and Accessibility in mHealth Stroke Apps: An Empirical Assessment. Informatics in Medicine Unlocked, p.101616.
Forsberg, A. and Iwaya, L.H., 2024, November. Security Analysis of Top-Ranked mHealth Fitness Apps: An Empirical Study. In Nordic Conference on Secure IT Systems (pp. 364-381). Cham: Springer Nature Switzerland.