Dr. Frédéric Kaplan

Professor

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Biography

Frédéric Kaplan is a professor at the College of Humanities at the Swiss Federal Institute of Technology in Lausanne (EPFL), specializing in Digital Humanities. He directs the Digital Humanities Laboratory (DHLAB) and oversees the Time Machine Organization, a non-profit initiative involving over 600 institutions dedicated to using advanced computational techniques to explore historical data. Kaplan has published a significant number of books and articles covering various topics, including the evolution of language acquisition and the interplay between cultural heritage and technology. His works have been featured in prestigious exhibitions, including the Venice Architecture Biennale and the Centre Pompidou. Through his research, he has pioneered methods employing artificial intelligence in understanding and reconstructing urban environments and historical contexts. His academic projects focus on integrating large datasets using new technologies to create dynamic digital twins of cities, enhancing our comprehension of historical transformations in urban landscapes. As an educator, he is committed to developing the next generation of scholars in the digital humanities, emphasizing the importance of interdisciplinary collaboration and innovative research methodologies.

Research Interests

Experience

Professor

2015-01-01 — Present

École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland

Director of the Digital Humanities Laboratory and head of various academic projects.

Awards

#

Best Paper Award

2022-05-01

Courses

Digital Humanities Foundations of Digital Humanities Urban Digital Twins

Requirements for École Polytechnique Fédérale de Lausanne

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a related field Strong foundation in Calculus, Linear Algebra, and Probability Proficiency in programming (Python, Java, or C++)
Application Checklist
  • Curriculum Vitae
  • Copy of University Degree(s)
  • Official Transcripts
  • Statement of Purpose
  • Copy of Passport or Identity Card
  • Three Letters of Recommendation
  • Proof of English Proficiency
Specialization Notes

Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.