My research pursuits encompass the following areas:
- Robust ML Systems.
- Concept Drift.
- Adaptive Learning.
- Introduction to Machine Learning.
- Project in Machine Learning.
- Funadamentals of Software Testing.
- AI Engineering.
Firas Bayram, who commenced his PhD degree in 2021 at Karlstad University's Department of Mathematics and Computer Science, holds an MSc degree from the University of Genova in 2020. His primary research interests revolve around the development of robust machine learning (ML) solutions in non-stationary environments, with a specific focus on adaptive learning in concept drift scenarios.