Dipl.-Phys. Adrian Tonatiuh Ruiz

Research interests

  • Machine learning
  • Partially supervised learning / Active learning
  • Multi-instance multi-label learning
  • Deep Learning
  • Automated identification of bats
  • Computer Music
  • Archaeoacoustics

Professional activities

  • Research associate in the project Formal Methods in Musicology at Fitzwilliam College, Cambridge, 2016-17
  • Data scientist consultant in National Commission for the Knowledge and Use of Biodiversity (CONABIO), Mexico, 2017
  • Data scientist in the Mexico National Bat Monitoring project of the JRS Biodiversity Foundation and the Instituto de Ecología, UNAM , 2014-2017
  • Visiting researcher in the project Development of algorithms for automatic identification of Emballonurid bat echolocation calls – a tool for Neotropical conservation at the Institute of Experimental Ecology, Ulm University, 2010


  • DAAD-CONACYT PhD scholarship (2011-2015)
  • DAAD-STIBET scholarship (2016)

Publications and conferences

  • Ruiz A. T, Tschapka M, Jung K, Schwenker F, Palm GAutomated Identification Method for Detection and Classification of Neotropical BatsConference paper at the 8th International Conference of Pattern Recognition Systems, Madrid, July 2017
  • Tania P. González-Terrazas, Luis R. Víquez, Ana Ibarra-Macías, Adrián Tonatiuh Ruíz, Leonora Torres-Knoop, Kirsten Jung, Marco Tschapka, Rodrigo A. Medellín, New records and range extension of  Promops Centralis (Chiroptera: Molossidae), Revista Mexicana de Biodiversidad, Volume 87, Issue 4, 2016, Pages 1407-1411, DOI
  • Ruiz A. T, Jung K, Schwenker F, Palm G. Software-aided identification of Neotropical bat calls: an active learning approach. Poster at XXV meeting of the International Bioacoustics Council (IBAC), Murnau, Germany, September 2015
  • Ruiz A. T, Jung K, Schwenker F, Palm G. Automated classification of 10 Neotropical bats species using calls from all echolocation phases implementing machine learning algorithms. Presentation in the International AMIBIO Workshop: "Recent progress in computational bioacoustics for assessing biodiversity", Zoological Research Museum Alexander Koenig, Bonn, Germany, June 2013
  • Ruiz A. T, Jung K, & Palm G. Acoustic identification of Emballonurid bat species using machine learning methods. Oral presentation presented at the Treffen der Fledermausforscher, Schönstatt-Zentrum, Rottenburg-Ergenzingen, Germany, January 2013
  • Ruiz, A. T., Ramos, A., Medina, A. A,& Padilla, P. Analysis of the acoustic response generated by the stairs of El Castillo of Chichen-Itza in relation to the sound source. Oral presentation in the 2nd Pan American/Iberian Meeting on Acoustics, Cancun, Mexico, November 2010

Thesis assistance

Institute of  Evolutionary Ecology and Conservation Genomics, Ulm University

  • Heather Baldwin, Epidemiology and ecology of virus and host: bats and coronaviruses in Ghana, West Africa,  Doctoral thesis, 2017
  • Christian Schmidt, The effect of local land use and landscape setting on aerial insectivorous bats in the tropical dry forest zone of Western Mexico, Master thesis, 2016
  • Tania P. Gonzalez-Terrazas, Sensory ecology of the nectar-feeding bat Leptonycteris yerbabuenae, Doctoral thesis, 2015

Instituto de Ecologia, UNAM

  • Abigail Martinez Serena, Evaluación del ensamble de murciélagos insectívoros aéreos en plantaciones de palma de aceite (Elaeis guineensis) en la Selva Lacandona, Chiapas, México, Licenciatura, 2017
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