Dr. Hendrik Blockeel

Professor

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Biography

Hendrik Blockeel is a prominent academic in the field of computer science, with a focus on artificial intelligence and machine learning. He is a member of the Department of Computer Science at KU Leuven, where he actively participates in various committees, including the Computer Science Department Council and Curriculum development. His research interests encompass a variety of innovative topics such as data mining, knowledge discovery, inductive logic programming, and the application of machine learning in diverse fields including legal research and medical applications. Hendrik has led numerous projects centered around AI-driven solutions and has served as a co-promoter for significant research initiatives. He has published extensively in high-impact journals, contributing valuable insights into time series analysis, explainable AI, and the evaluation of machine learning algorithms. His work not only advances theoretical knowledge but also emphasizes practical applications of technology in real-world scenarios. Hendrik is dedicated to fostering academic growth and advancing research in his domain through collaborative projects and mentorship.

Research Interests

Experience

Professor

— Present

KU Leuven • Leuven, Belgium

Teaching and researching in the field of computer science, focusing on artificial intelligence and machine learning.

Requirements for KU Leuven

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:94
GRE General
Verbal
Required:154
Quantitative
Required:166
Overall
Required:154
Prerequisites
Academic Bachelor's programme in Engineering Science with strong components in computer science and mathematics Bachelor's degree in Informatics or Computer Science with a strong component of mathematics
Application Checklist
  • Official transcripts
  • Summary of Key Application Data
  • Selftest
  • Statement of motivation
  • GRE Score Report (unless EEA/UK/CH degree)
  • CV
Specialization Notes

Master of Engineering: Computer Science. Admission is at the discretion of the Faculty of Engineering Science.