---

Carol L. Bedoya

 

---

¡Hola!

I am a Bioacoustician/Acoustic Ecologist (PhD). My research lies at the intersection of Artificial Intelligence, Acoustics, and Biology. I develop computational and signal processing tools for the analysis of acoustic data, which I then use to answer biologically-relevant questions. My areas of expertise are Computational Intelligence (Artificial Neural Networks/Deep Learning, Clustering Algorithms, Fuzzy Logic, Evolutionary Computation) and Animal Acoustics (Bioacoustics, Ecoacoustics, and Biotremology).

My main research interest is the theoretical basis of animal acoustic communication. Particularly, the study of spatio-acoustic interactions in animal groups and the evolution of sound production and language. My goal is to understand acoustic communication, from genes to soundscapes.

My current research focuses on the development of novel methods for conservation biology; including species and individual identification, population censusing, sound source localization, and tracking.

Google Scholar

ORCID

ResearchGate

GitHub

---

Contact

📧 email: carol@atarausanctuary.co.nz 🦜

---

Publications

(* First Author)

2024

* Body size and sequence of host colonisation predict the presence of acoustic signalling in beetles (PDF)

2023

  Acoustic animal identification using unsupervised learning (PDF)

2022

* Experimental characterization and automatic identification of stridulatory sounds inside wood (PDF)

  Habitat and acoustic spectrum as determinant factors of the occupation of neotropical anurans (PDF)

2021

* Acoustic Censusing and Individual Identification of Birds in the Wild (PDF)

* Sound Production in Bark and Ambrosia Beetles (PDF)

  Pinyon engraver beetle acoustics: stridulation apparatus, sound production and behavioral response to vibroacoustic treatments in logs (PDF)

2020

* Brown marmorated stink bug overwintering aggregations are not regulated through vibrational signals during autumn dispersal (PDF)

  Ecoacoustics in the rain: understanding acoustic indices under the most common geophonic source in tropical rainforests (PDF)

2019

* Acoustic communication of the red‐haired bark beetle Hylurgus ligniperda (PDF)

* First report of luminous stimuli eliciting sound production in weevils (PDF)

  Vibrational behavior in bark beetles: Applied aspects

2018

  Psychophysical investigation of vigilance decrement in jumping spiders: overstimulation or understimulation?

2017

* Automatic identification of rainfall in acoustic recordings

2014

* Automatic recognition of anuran species based on syllable identification

* Yager–Rybalov Triple Π operator as a means of reducing the number of generated clusters in unsupervised anuran vocalization recognition

2013 (Undergrad)

* Automatic component rejection based on fuzzy clustering for noise reduction in electroencephalographic signals

  A novel exponential function based model for an uniaxial magnetic levitation system (PDF)

2012 (Undergrad)

* Unsupervised feature selection based on fuzzy clustering for fault detection of the tennessee eastman process (PDF)

  Simulation and control design of an uniaxial magnetic levitation system

---

Code

* Individual Identification and Censusing of Birds

* Characterization of Stridulatory Sounds Inside Wood

---

Datasets

* Kiwi Vocalizations

* Beetle Sounds Inside Wood