Dr. Hermann Ney

Professor

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Biography

Hermann Ney is a professor at RWTH Aachen University, leading the Chair of Computer Science 6. His research focuses on automatic speech recognition, statistical machine translation, and statistical classification, with additional interests in text image recognition, sign language recognition, and object recognition. He has extensive experience in machine learning applications, particularly in the field of human language technology. Ney has contributed significantly to advancements in neural networks for speech and image processing, characterized by his work on language modeling and statistical natural language processing. He teaches courses for advanced undergraduate students, including topics such as pattern recognition and statistical modeling.

Research Interests

Courses

Pattern Recognition Neural Networks Speech Recognition Digital Processing Speech Image Signals Language Modeling Statistical Natural Language Processing Advanced Topics Statistical Modeling

Requirements for RWTH Aachen University

Master Program
Requirements
GPA Requirement
Required:2.5
GRE General
Verbal
Required:145
Verbal Percentile
Required:15
Quantitative
Required:160
Quantitative Percentile
Required:75
Analytical Writing
Required:3.5
Overall
Required:3.5
TOEFL
Total
Required:90
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree in Computer Science or closely related field Substantial background in Computer Science and Mathematics Module description document/Module catalog
Application Checklist
  • Online application via RWTHonline
  • Transcript of Records
  • Degree Certificate
  • Module Catalog/Course Descriptions
  • Tabular Resume/CV
  • Proof of English Proficiency
  • GRE General Test Result (Non-EU/EEA)
Specialization Notes

Includes Software Systems Engineering. GRE is mandatory for Non-EU/EEA applicants.