Dr. Aurelien Dantan

Associate Professor

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Biography

Aurelien Romain Dantan is an Associate Professor at Aarhus University specializing in field optomechanics, light interaction, high-quality mechanical nanoresonators, photonics, sensing, and quantum technology applications. He is responsible for the bachelor education program and serves on several committees, including the Education Committee and the Natural Science Faculty Board at the university. His teaching encompasses various courses for undergraduate, master, and PhD students, notably including Electromagnetism and Quantum Engineering, as well as Experimental Quantum Optics in the master's program. Dantan has actively contributed to numerous research projects, with ongoing work in quantum optics, nanophotonics, and sensors. His research interests reflect a commitment to advancing knowledge in optomechanical systems, which interface quantum and classical regimes. Over the years, he has participated in several collaborative projects aimed at developing innovative methodologies for gas sensing and pressure measurement through advanced nanostructures. Dantan's impactful contributions are recognized in the academic community through his engagements in lectures and organization of scientific conferences.

Research Interests

Experience

Associate Professor

2018-01-01 — Present

Aarhus University • Aarhus, Denmark

Teaching various undergraduate and graduate-level courses, conducting research in quantum optics and nanotechnology.

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.