About Us

Explore Our Commitment to Advancing Biodiversity Conservation

The ML4Biodiversity initiative is dedicated to enhancing biodiversity monitoring through cutting-edge machine learning techniques, especially in bioacoustics.


Meet Our Expert Researchers

Discover the dedicated professionals driving our mission to revolutionize biodiversity monitoring. Affiliated with the Department of Advanced Computing Sciences (DACS), Maastricht University. In collaboration with researchers from Utrecht University and Tilburg University.

Dr. Aki Härmä

Lead Research Scientist

With extensive expertise in signal processing and machine learning, this researcher pioneers bioacoustic monitoring techniques.

Aysenur Arslan-Dogan

AI Research Assistant

Combining AI innovation with Data Science approches, this researcher develops scalable solutions for biodiversity conservation.

Research Students

Students, Interns

Focusing on interdisciplinary integration, these team members ensure seamless collaboration across ecology, AI, and bioacoustics.



Discover the Impact of ML4Biodiversity

This section introduces our mission to revolutionize biodiversity monitoring through machine learning, detailing our innovative, interdisciplinary approach and key research focus areas.

Advancing Biodiversity Conservation Through AI

Our initiative demonstrates how integrating ecology, bioacoustics, and AI results in effective, scalable tools for biodiversity monitoring, enhancing conservation efforts worldwide.

Pioneering Scalable, Non-Invasive Monitoring Techniques

This research highlights overcoming traditional conservation challenges by deploying cutting-edge machine learning methods to generate actionable ecological insights.

Innovating Biodiversity Monitoring via Machine Learning

Our collaborative projects illustrate successful application of AI-powered bioacoustic analysis to streamline data collection, improve accuracy, and support conservation decisions.

Address

Department of Advanced Computing Sciences

Paul-Henri Spaaklaan 1, 6229 GS Maastricht
The Netherlands