Dejiu Chen

Dejiu Chen is an Associate Professor in the Unit of Mechatronics at KTH Royal Institute of Technology's Digital Futures Faculty. His research focuses on trustworthy human-compatible Cyber-Physical Systems (CPS), with applications in automotive and medical domains. He holds a Docent title and leads projects addressing system reliability, self-management, and safety assurance.

Research interests include embedded control systems, anomaly detection, formal modeling, and AI integration for CPS. Key projects include TRUSST-E (trustable embedded systems), SALIENCE4CAV (autonomous vehicle safety), and SocketSense (IoMT wearable sensors).

Publications span over 100 peer-reviewed articles, emphasizing topics like graph neural networks, digital twins, and fault management. He collaborates with industry partners through initiatives like the Mechatronics Twin Framework and condition monitoring methodologies.

Teaches courses such as Embedded Systems Design and Smart CPS for Sustainability. Active in grants and industrial partnerships, with a focus on advancing CPS resilience and industrial relevance.