Dr. Konstantinos Karapiperis

Assistant Professor

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Biography

Konstantinos Karapiperis is an Assistant Professor at École Polytechnique Fédérale de Lausanne, directing the Data-Driven Mechanics Laboratory (LMD). His research lies at the intersection of mechanics, multiscale modeling, and data science, focusing on applications involving geomaterials and structural materials. Before joining EPFL, he was a Postdoctoral Researcher and Lecturer at ETH Zürich, where he worked on topics related to mechanics and material science. Karapiperis holds a PhD in Applied Mechanics with a Minor in Applied Mathematics from the California Institute of Technology (Caltech). He has contributed to various journal articles and conference papers, addressing themes such as topology-informed design, hierarchical learning for geomaterials, and data-driven computational mechanics. His work aims to advance the understanding and design of materials using cutting-edge computational techniques and methodologies, emphasizing the integration of data science into traditional engineering disciplines.

Research Interests

Experience

Assistant Professor

2021-01-01 — Present

École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland

Directing Data-Driven Mechanics Laboratory (LMD), focusing on intersection of mechanics, multiscale modeling, and data science.

Postdoctoral Researcher and Lecturer

— Present

ETH Zürich • Zürich, Switzerland

Worked on various research projects in mechanical and material science supported by a Marie Sklodowska-Curie Fellowship.

Courses

Multiscale Modelling Mechanics Soil Mechanics Flow Porous Media

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.