Dr. Bert De Vries

Professor

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Biography

Bert de Vries is a Professor in the Signal Processing Systems group at Eindhoven University of Technology (TU/e). His research focuses on the development of intelligent autonomous agents that learn through in-situ interactions with their environment. The aim is to use these agents to automate the development of novel signal processing and control algorithms. His research draws inspiration from diverse fields such as computational neuroscience, Bayesian machine learning, and signal processing systems. A current major application area of his work is the personalization of medical signal processing systems, particularly hearing aid algorithms. De Vries has a significant background in signal and image processing, having previously contributed to research projects in areas such as word spotting, financial market prediction, and breast cancer detection in mammograms. He believes that the future development of signal processing systems will involve largely automated, autonomously operating agents that learn purposeful signal processing behaviors through their interactions with environmental conditions.

Research Interests

Experience

Professor

2012-01-01 — Present

Eindhoven University of Technology • Eindhoven

Appointed as a professor in the Signal Processing Systems group.

Research Scientist

1992-01-01 — 1999-01-01

Sarnoff Research Center • Princeton, NJ, USA

Conducted research in signal processing.

Engineering Manager

1999-01-01 — 2012-01-01

Hearing Aids Industry •

Held engineering and managerial positions.

Requirements for Eindhoven University of Technology

Master Program
Requirements
GPA Requirement
Required:3.4
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
PTE
Listening
Required:65
Reading
Required:65
Writing
Required:65
Speaking
Required:65
Overall
Required:70
Prerequisites
Bachelor's degree in a relevant engineering or science discipline Specific subject knowledge related to the chosen program (e.g., Calculus, Linear Algebra) Maximum 15 ECTS deficiency for international applicants
Application Checklist
  • Certified copy of Bachelor's degree and transcript
  • Authenticated English/Dutch translation of documents
  • Proof of English proficiency
  • Curriculum Vitae (CV)
  • Motivation Letter
  • Two letters of reference
  • Summary of Bachelor thesis/dissertation
  • Concise course descriptions of relevant subjects
  • Copy of passport
  • Proof of payment of application fee (EUR 100)
Specialization Notes

Specific departments like Industrial Design require a portfolio. Programs like Data Science and AI require a GRE-General test for certain international backgrounds.