Dr. Arnaud Casteigts

Professor

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Biography

Arnaud Casteigts is a professor in the field of Computer Science at the University of Geneva, where he leads the ALGO group. His primary research interests lie in highly dynamic networks, temporal graph algorithms, computational complexity, and distributed computing, particularly focusing on decentralized interactions and their security implications. He is also affiliated with LaBRI at the University of Bordeaux, contributing to various research projects and seminars in these domains. Casteigts actively engages in teaching a range of subjects including formal languages, computability and complexity, algorithmics, and graph algorithms. He has been involved in numerous conferences and seminars, presenting his work on temporal graph theory and its algorithmic challenges. Furthermore, he serves on the editorial board of Theoretical Computer Science and has held leadership roles in projects and groups related to distributed computing. Casteigts is dedicated to advancing research in his field while nurturing the academic growth of his students and postdoctoral researchers.

Research Interests

Experience

Professor

2022-01-01 — Present

University of Geneva • Geneva, Switzerland

Leading research and teaching in the field of computer science, focusing on dynamic networks and graph algorithms.

Head of Distributed Computing Group

2021-01-01 — 2023-01-01

LaBRI • Bordeaux, France

Directed group research activities and projects related to distributed computing.

Courses

Formal Languages Computability and Complexity Algorithmics Graph Algorithms Temporal Graphs

Requirements for University of Geneva

Master Program
Requirements
IELTS
Overall
Required:7
TOEFL
Total
Required:92
Prerequisites
Bachelor degree from a recognized university Minimum 60 ECTS in management or related field for direct admission
Application Checklist
  • Cover letter
  • CV
  • Diplomas
  • Transcripts
  • Proof of English proficiency
Specialization Notes

Includes Department of Management, Finance, Economics, and Statistics programs. GMAT is strongly encouraged but not mandatory for most GSEM masters.