Dr. Bart De Schutter

Professor

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Biography

Bart De Schutter is a professor in the Delft Center for Systems and Control at Delft University of Technology. He specializes in optimization-based control, where he explores the integration of predictive control techniques in large-scale systems. With a keen interest in learning-based decision making, Bart is dedicated to advancing intelligent systems that enhance transportation and energy efficiency. He has conducted substantial research in intelligent transportation systems and smart energy systems, aiming to create sustainable solutions for urban environments. His work extends into underwater vision, showcasing his versatility and commitment to pushing the boundaries of control systems. Bart has been recognized with the 2024-6 Paper Award for his contributions to Intelligent Transportation Infrastructure, particularly for his notable paper entitled 'Artificial Intelligence Railway Infrastructure: Current Research, Challenges, Future Opportunities' which was honored by Oxford University Press. Bart is passionate about mentoring emerging scholars and fostering innovation in systems control through collaborative projects and academic contributions.

Research Interests

Experience

Professor

2010-01-01 — Present

Delft University of Technology • Delft

Leading research and teaching activities in the area of systems control and optimization.

Awards

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Paper Award

2024-01-01

Requirements for Delft University of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
GRE General
Verbal
Required:154
Quantitative
Required:159
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor degree in a related field Sufficient credits in key subjects (Mathematics, Physics, Discipline-specific)
Application Checklist
  • Bachelor's degree certificate
  • Academic transcript
  • English language certificate
  • Curriculum Vitae (CV)
  • Motivation letter
  • Two letters of recommendation
  • Identity document (Passport)
  • GRE General Test results (for international diplomas)
Specialization Notes

Requirements apply generally across engineering and science master programs. Specific tracks like Architecture require a digital portfolio.