Milanto Ferdinand Rasolofohery is a Postgraduate Student researching compressed sensing for machine learning and bioacoustic monitoring under the supervision of Dr. Emmanuel Dufourq. His work focuses on developing efficient data acquisition and processing techniques that can extract meaningful information from minimal acoustic data samples.
As a researcher at the intersection of signal processing and ecology, Rasolofohery explores how compressed sensing techniques can be applied to bioacoustic monitoring, developing algorithms that enable effective environmental monitoring with reduced data requirements.
His research contributes to both conservation technology and computational efficiency, developing methods that can support biodiversity monitoring through acoustic data while minimizing the computational and storage requirements typically associated with processing large amounts of audio data.