Dr. Tjonnie Li

Associate Professor

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Biography

Tjonnie Guanf Feng Li is an Associate Professor at the Department of Physics and Astronomy at KU Leuven, where he is also a member of multiple research institutes, including the Dynamical Systems, Signal Processing Data Analytics (STADIUS) and the Gravity Institute. His research interests are primarily focused on gravitational wave physics and computational methods in astrophysics, including advanced numerical simulations and data analysis techniques relevant to gravitational wave astronomy. Li has been actively involved in several high-profile projects, including those aimed at understanding the behavior of binary star systems and the interpretation of data from gravitational wave observatories. He has published numerous research articles in prestigious journals, contributing significantly to the scientific community's understanding of gravitational waves and related phenomena. His academic work emphasizes innovative approaches to numerical relativity and gravitational wave detection, pushing the boundaries of what is achievable in this rapidly evolving field.

Research Interests

Experience

Associate Professor

2015-09-01 — Present

KU Leuven • Leuven, Belgium

Teaching undergraduate and graduate courses in physics and astronomy, conducting research in gravitational wave detection.

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
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  • GRE Score Report (unless EEA/UK/CH degree)
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Specialization Notes

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