Førsteamanuensis

Tosin Daniel Oyetoyan

Arbeids- og kompetanseområde

Tosin Daniel Oyetoyan is an Associate Professor at the Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences. His research interests are mainly connected to how software in different operational domains can be designed and developed in a way that they are secure, reliable and maintainable in real-world context. Security and Empirical software engineering are therefore important components of his research. He is interested in static code analysis, software defect analysis, software metrics, and software refactoring using system models. He has participated in large research projects such as science of security for Agile software development (SoS-Agile) with focus on secure design, secure coding, and security testing within Agile software development. His research also includes the application of machine learning to natural language artifacts in software development to identify security concerns. His research has expanded to software security in smart systems such as mobile and Internet of Things (IoT), critical infrastructures (e.g. smart transportation and smart grid), and systems-of-systems. He is passionate about applied research as demonstrated in his tools for refactoring strongly connected classes and JIRA plugin that uses machine-learning models for classification of security-related issues. Both tools have been applied at the industrial settings.

Underviser i

  • DAT159 - Utvalgte temaer (Basic Cryptography og IoT and Cloud Systems)
  • DAT108 - Programmering og Webapplikasjoner
  • DAT110 - Distributed Systems and Network Technology

Forskar på

  • Software security
  • Empirical software engineering
  • Software refactoring
  • Static code analysis
  • Software maintenance
  • Security in smart systems-of-systems
  • Agile Software Development
  • Applied AI in Software Engineering

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