Dr. Simeon Smeele

Assistant Professor

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Biography

Simeon Quirinus Smeele is a tenure track researcher in the Department of Ecoscience at Aarhus University, Denmark, focusing on animal ecology and conservation. His primary research is centered on bats, an understudied order that plays a crucial role in Danish biodiversity. He is involved in developing tools for passive acoustic monitoring and analyzing camera trap images of hibernacula to quantify activity patterns and make abundance estimates of bat species. This includes creating data pipelines, training deep neural networks, and adapting statistical models to manage data collection uncertainties and covariates influencing bat activity and abundance. Recently, he has worked on quantifying bat activity in Danish offshore waters, collaborating with multiple consultants and organizations. His current projects include developing a camera trap neural network with funding from the ÅV Jensen Nature Foundation to monitor bat activity in the Mønsted Limestone Mines, a key hibernation location for near-threatened species in Denmark.

Research Interests

Experience

Research Assistant

2019-09-01 — 2023-08-31

Interdisciplinary Centre Population Dynamics (CPop) • Aarhus, Denmark

Assisted in research projects focused on biodiversity and population dynamics.

Doctoral Researcher

2019-09-01 — 2023-08-31

Max Planck Institute of Animal Behavior • Germany

Conducted doctoral research on animal behavior, particularly focusing on communication and cognition in various species.

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.