Dr. Fatma Deniz

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Biography

Fatma Deniz is a researcher at the Technische Universität Berlin focusing on the intersection of artificial intelligence, neuroscience, and cognitive computing. Her group aims to deepen the connection between artificial intelligence and our understanding of the human brain by developing computational models that represent brain responses under ecologically valid conditions. Their work explores the representation of language and the communication processes involved in biological and artificial systems. By integrating insights from brain research, they seek to enhance the explainability of artificial neural language models and optimize them according to our understanding of neural processes. This research not only contributes to advancements in AI but also provides deeper insights into human cognition and its neural bases.

Research Interests

Requirements for Technical University of Berlin

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:87
PTE
Overall
Required:65
Duolingo
Overall Score
Required:120
Overall
Required:120
Prerequisites
Recognized first university degree (Bachelor or equivalent) Specific ECTS in related subjects (e.g., 36 ECTS in Fundamentals of Computer Science for CS programs) Evidence of previous Master's studies (if applicable) Module descriptions of previous study program
Application Checklist
  • Officially certified copy of University degree certificate
  • Transcript of Records
  • Tabular CV
  • Motivation letter (program specific)
  • APS Certificate (for applicants from China, India, and Vietnam)
  • Proof of English proficiency (B2/C1 depending on program)
  • Copy of Passport
  • Preliminary Review Documentation (VPD) from uni-assist
Specialization Notes

Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.