معرفی
Stefan Axelsson is an Associate Professor at NTNU (Norwegian University of Science and Technology) in Gjövik, Norway, and a Senior Lecturer at Blekinge Institute of Technology in Sweden. His research focuses on computer security, digital forensics, and applications of machine learning in intrusion detection and data analysis. He holds a PhD in Computer Science from Chalmers University of Technology (2005), with a thesis on intrusion detection visualization. His work bridges academia and industry, including collaborations with Ericsson.
Research interests span forensic file systems analysis (NTFS/ReFS), fraud detection in financial systems, and visualization techniques for security data. Notable contributions include the Bayesvis intrusion detection tool and fraud simulation frameworks like PaySim. He has published extensively in venues like Digital Investigation, DFRWS, and IFIP conferences.
Key achievements include a best paper award at EMSS 2013 for forensic agent-based simulation work. His software contributions focus on practical tools for security professionals, emphasizing usability and visualization of complex data patterns.
