Dr. Shahrooz Abghari is a lecturer in the Computer Science Department at Blekinge Institute of Technology (BTH), where he pursued his Ph.D. His main research interests and activities revolve around outlier (anomaly) detection. Shahrooz mainly works with the industry on different application domain problems and challenges. Regarding research experience, he primarily focuses on data analysis, unsupervised machine learning and data mining techniques, and time series analysis. Shahrooz did his Ph.D. under BigData@BTH, a six-year research project (2014-2020) founded by the Knowledge Foundation, BTH, and eight company partners. He was a research team member in Distributed and Adaptive Edge-based AI Models for Sensor Networks project in collaboration with SONY R&D Lund Center  (2021-2022). Shahrooz is currently a research team member in HINTS – Human-Centered Intelligent Realities, a six-year (2022-2028) BTH research project co-funded by the Knowledge Foundation Research Profiles program.