About
Ibrahim Delibasoglu is a Research Fellow at Linköping University, affiliated with the Artificial Intelligence and Integrated Computer Systems (AIICS) division within the Department of Computer and Information Science (IDA). His research focuses on advancing artificial intelligence techniques, particularly in anomaly detection and surface defect analysis. He contributes to the Digital4Business program, leveraging AI and cybersecurity expertise for advanced digital technologies education.
His research interests include applying machine learning to real-world challenges, such as time-series analysis for anomaly detection and lightweight models for industrial defect analysis. Recent work includes the ChaMTeC framework for temporal convolution networks and real-time surface defect analysis systems.
Delibasoglu collaborates within the AIICS division, part of Linköping University’s broader computer science research ecosystem. He is associated with the Reasoning and Learning Lab (REAL), focusing on foundational AI research and applications.
