Dr. Dejiu Chen

Associate Professor

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Biography

Dejiu Chen is an Associate Professor at KTH Royal Institute of Technology. His research focuses on Embedded Control Systems, particularly within trustworthy human-compatible Cyber-Physical Systems (CPS) for automotive and medical applications. He addresses significant challenges related to the extensive deployment of intelligent CPS within socio-technical systems, emphasizing the importance of detecting and managing unexpected behaviors and system failures arising from design deficiencies and component degradations. His work aims to develop novel strategies and industrial frameworks for systems engineering, particularly in self-management and integration of model-driven and data-driven approaches. Chen has contributed to over 100 peer-reviewed publications and has been involved in various projects including TRUSST-E and SALIENCE4CAV, which focus on trustable embedded systems and safety in autonomous vehicles, respectively. His educational contributions encompass courses in Embedded Control Systems and Machine Learning, enhancing the next generation of engineers in the field.

Research Interests

Embedded Control Systems Cyber-Physical Systems Automotive Engineering Medical Applications Systems Engineering Trustworthy Systems Model-Driven Engineering Data-Driven Engineering

Experience

Associate Professor

2015-01-01 — Present

KTH Royal Institute of Technology • Stockholm

Research and teaching in Embedded Control Systems and Cyber-Physical Systems.

Courses

Degree Project Embedded Control Systems Degree Project Machine Design Degree Project Mechatronics Introduction to Embedded Machine Learning

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).