
Matias Zañartu Salas
Full Professor
Universidad Técnica Federico Santa María
Valparaiso, Chile
Biomedical Sensing and Signal Processing; Speech Production; Acoustic/Speech Modeling and Signal Processing
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Electrical and Computer Engineering, PURDUE UNIVERSITY. Estados Unidos, 2010
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Electrical and Computer Engineering, PURDUE UNIVERSITY. Chile, 2006
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Acoustical Engineering, Universidad Vicente Perez Rosales. Chile, 1999
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Acoustical Engineering, UNIVERSIDAD TECNOLOGICA VICENTE PEREZ ROSALES. Chile, 1997
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Associate Professor Full Time
UNIVERSIDAD TECNICA FEDERICO SANTA MARIA
Valparaiso, Chile
2018 - 2022
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Postdoctoral Research Associate Full Time
PURDUE UNIVERSITY
West Lafayette, IN, Estados Unidos
2010 - 2011
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Graduate Research Assistant Part Time
PURDUE UNIVERSITY
West Lafayette, IN, Chile
2005 - 2010
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Visiting Researcher Full Time
MASSACHUSETTS GENERAL HOSPITAL
Boston, MA, Chile
2008 - 2008
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Full Professor Full Time
UNIVERSIDAD TECNICA FEDERICO SANTA MARIA
Valparaiso, Chile
2022 - At present
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Assistant Professor Full Time
UNIVERSIDAD TECNICA FEDERICO SANTA MARIA
Valparaiso, Chile
2011 - 2018
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Graduate Intern Technical Full Time
Intel Corporation
Hillsboro, Oregon, Estados Unidos
2009 - 2009
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Acoustical Engineer Full Time
Control Acústico Ltda.
Santiago, Chile
2002 - 2004
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Acoustical Engineer Full Time
Ambiente Consultores
Santiago, Chile
1998 - 2002
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Co-Research Director Part Time
Lanek SPA
Viña del Mar, Chile
2020 - At present
Student Supervision
Summary (main advisor only)
- Post-doctoral fellows supervised: 7
- Current PhD students: 3
- Current MS students: 4
- Current BS students: 2
- PhD Theses completed: 6
- MS Theses completed: 7
- BS Theses completed: 28
Postdoctoral Fellows
1. Jesus Parra (PhD in Electronic Engineering, UTFSM), Topic of research: Models of normal and disorder voice production, 2025-2027
2. Emiro Ibarra (PhD in Electronic Engineering, UTFSM), Topic of research: “Domain adaptation of subject-specific modeling for ambulatory assessment of laryngeal biomechanical components”, 2024-2027
3. Jhosmary Cuadros (PhD in Electronic Engineering, UTFSM), Topic of research: “Mapping cortical activations in laryngeal motor control with EEG”, 2023-2024
4. Juan Pablo Cortés (PhD in Electronic Engineering, UTFSM). Topic of research: “Machine learning methods for ambulatory voice monitoring”, 2020-2024.
5. Pavel Prado (PhD in Neuroscience, UCM, Cuba). Topic of research: “Oscillatory auditory responses during voice production”, 2016-2021.
6. Gabriel Alzamendi (PhD in Biomedical Engineering, FICH-UNL, Argentina). Topic of research: “Modeling biomechanical and aero-acoustic mechanisms of vocal hyperfunction”, 2018-2020.
7. Gabriel Galindo (PhD in Electronic Engineering, UTFSM, Chile). Topic of research: “Subject-specific modeling of voice production”, 2017-2018.
Graduate students – Current (main advisor only)
1. Josue Martinez (PhD in Electronic Engineering, UTFSM), Thesis: “High-density electromyography as a method for estimating laryngeal muscle activity”, Expected graduation: December 2024.
2. Carlos Calvache (PhD in Engineering Sciences, Universidad Militar Nueva Granada) Thesis: “Representación de la hiperfunción vocal no fonotraumática con el modelo de cuerpo-cubierta trianguar adaptado a dos pliegues vocales” Expected graduation: December 2024.
3. Nicolás Quinteros (PhD in Electronic Engineering, UTFSM), Thesis: TBD, Expected graduation: December 2027.
4. Rocio Ortega (MS in Electronic Engineering, UTFSM), Thesis: “Language acquisition using the LaDIVA model in an iCub robot“, Expected graduation: December 2025.
5. Carlos Saldivia (MS in Electronic Engineering, UTFSM), Thesis: “Source location using EEG signal processing algorithms based on GSP”, Expected graduation: December 2025.
6. Alondra Araya (MS in Electronic Engineering, UTFSM), Thesis: “YOLO methods for glottal image segmentation”, Expected graduation: December 2025.
7. Matías Huichaqueo (MS in Electronic Engineering, UTFSM), Thesis: “Automatic analysis of Laryngeal HSV using the EDGE method”, Expected graduation: December 2025.
Graduate students – Former (main advisor only)
1. Jesus Parra (PhD in Electronic Engineering, UTFSM), Thesis: “Modeling Ambulatory Neck Surface Acceleration Distributions in Phonotraumatic Vocal Hyperfunction”, 2024.
2. Emiro Ibarra (PhD in Electronic Engineering, UTFSM), Thesis: “Vocal function estimations from neck-skin vibration using Bayesian neural network model and Bayesian subject specific voice production model”, 2024.
3. Joaquín Sepulveda (MS in Electronic Engineering, PUC Santiago), Thesis: “Bayesian neural network to predict model-based features from neck surface acceleration signals”, 2024.
4. Jhosmary Cuadros (PhD in Electronic Engineering, UTFSM), Thesis: “Modelo neurocomputacional para el estudio de voz: Un enfoque basado en señales EEG y algoritmos bio-inspirados”, 2023.
5. Benjamin Opazo (MS in Electronic Engineering, UTFSM), Thesis: “Voice quality modifcation using the WORLD vocoder”, 2021.
6. Juan Pablo Cortes (PhD in Electronic Engineering, UTFSM), Thesis: “On the role of aerodynamic features in the automatic classification of vocal hyperfunction using machine learning techniques”, 2020.
7. Victor Espinoza (PhD in Electronic Engineering, UTFSM) Thesis: “Stationary and dynamic aerodynamic assessment of vocal hyperfunction using enhanced supraglottal and subglottal inverse filtering methods”, 2018.
8. Gabriel Galindo (PhD in Electronic Engineering, UTFSM), Thesis: “Development of patient-specific numerical models of voice production using laryngeal high-speed videoendoscopy and a multimodal Bayesian scheme”, 2017.
9. Alejandro Esteban Bertin Villablanca (MS in Biomedical Engineering, Universidad de Valparaiso), Thesis: “On the use of reduction of dimensionality for neck surface acceleration signals for voice monitoring”, 2020.
10. Rodrigo Manriquez (MS in Electronic Engineering, UTFSM), Thesis: “Modeling laryngeal muscle activation noise for low-order physiological based speech synthesis”, 2018.
11. Juan Mucarquer (MS in Electronic Engineering, UTFSM), Thesis: “Nonlinear filtering of articulatory and laryngeal muscle effects in the EEG signal”, 2018.
12. Manuel Díaz (MS in Electronic Engineering, UTFSM), Thesis: “Estimación de señales clínicas vocales utilizando técnicas de amplificación de movimiento en videos de laringoscopía de alta velocidad”, 2015.
13. Andres Llico (MS in Electronic Engineering, UTFSM) Thesis: “Real-time biofeedback and network connectivity for a Voice Health Monitor”, 2013.
Undergraduate students – Current (main advisor only)
1. Javier Quevedo (BS in Electronic Engineering, UTFSM), Thesis: “Empirical mode decomposition for high density electromyography in the larynx”, Expected graduation: June 2025.
2. Natalia Vega (BS in Electronic Engineering, UTFSM), Thesis: TBD, Expected graduation: June 2025.
Undergraduate students – Former (main advisor only)
1. Mireya Vera (BS in Electronic Engineering, UTFSM), Thesis: “EEG Cortical Response Analysis for Validating a Neurocomputational Model”, Expected graduation: July 2024.
2. Matías Valenzuela (BS in Electronic Engineering, UTFSM), Thesis: “Application of data augmentation in voice signals for the detection of Parkinson's disease”, 2024.
3. Kevin Gajardo (BS in Electronic Engineering, UTFSM), Thesis: “Graphical user interface for analyzing ambulatory data from the Ambulatory Voice Monitor (AVM)”, 2024.
4. Mathias Wriggle (BS in Electronic Engineering, UTFSM), Thesis: “Dsiseño electrónico de dispositivo para monitoreo ambulatorio de voz”, 2023.
5. Cristobal Roldán (BS in Electronic Engineering, UTFSM), Thesis: “Dispositivo de comunicación y control de bomba para mejoramiento de producción de agua en pozos”, 2023.
6. Jorge Lefenda (BS in Electronic Engineering, UTFSM), Thesis: “Sistema de generación de archivos midi para música house mediante aprendizaje profundo”, 2023.
7. José Manuel Rojas (BS in Electronic Engineering, UTFSM), Thesis: “Implementacion de modelo BCM triangular para la representación de la laringe del modelo LaDIVA”, 2022.
8. Lucas Cortés (BS in Electronic Engineering, UTFSM), Thesis: “Análisis de trote sin marcadores en plano sagital con deeplabcut”, 2022.
9. José Bórquez (BS in Electronic Engineering, UTFSM), Thesis: “Análisis de grupo utilizando modelos probabilísticos para el diagnostico de patologías a las cuerdas vocales”, 2022.
10. Natalia Baeza (BS in Electronic Engineering, UTFSM), Thesis: “Aplicación de técnica de caracterización temporal en registros electroencefalográficos”, 2022.
11. Daniel Gonzalez (BS in Electronic Engineering, UTFSM), Thesis: “Development of a docking station for the AVM system”, 2021.
12. Felipe Rodriguez (BS in Electronic Engineering, UTFSM), Thesis: “Neural motor control of voice with DIVA”, 2021.
13. Franco Tapia (BS in Mathematical Engineering, UTFSM), Thesis: “Lumped mass model of the vocal folds with adaptive order selection”, 2021.
14. Constanza Lorca, (BS in Electronic Engineering, UTFSM), Thesis: “Sistema de monitoreo y procesamiento de voz: Procesamiento de señales en tiempo real”, 2021.
15. Lucas Salazar, (BS in Electronic Engineering, UTFSM), Thesis: “Segmentación Automática de la Glotis en Videos Endoscópicos de Alta Velocidad utilizando colores y formas características de las Regiones Glotales”, 2020.
16. Victor Guerra (BS in Electronic Engineering, UTFSM), Thesis: “Modelado de conectividad cerebral en reposo con modelos autoregresivos multivariados y estimación eficiente de su orden", 2019.
17. Roberto Farias (BS in Electronic Engineering, UTFSM), Thesis: “Neural network inverse filtering scheme for neck surface acceleracion signals", 2019.
18. Sebastián Márquez (BS in Electronic Engineering, UTFSM), Thesis: “Automatic sleep apnea detection using neck surface acceleration", 2018.
19. Francisco Garcia (BS in Electronic Engineering, UTFSM), Thesis: “Voice activity detection for neck surface acceleration signals under noise", 2017.
20. Felipe Acevedo (BS in Electronic Engineering, UTFSM), Thesis: “Voice activity detection for neck surface acceleration signals", 2016.
21. Manuel Díaz (BS in Electronic Engineering, UTFSM), Thesis: “Estimación de señales clínicas vocales utilizando técnicas de amplificación de movimiento en videos de laringoscopía de alta velocidad”, 2015.
22. Felipe Vera (BS in Electronic Engineering, UTFSM), Thesis: “Sensor de salud vocal usando un sensor con acelerómetro y una plataforma de Smartphone”, 2015.
23. Andres Llico (BS in Electronic Engineering, UTFSM) Thesis: “Real-time biofeedback and network connectivity for a Voice Health Monitor”, 2013.
24. Francisco Cortés (BS in Acoustical Engineering, Universidad Vicente Pérez Rosales),
Thesis: “Implementation of a phonetic database of 300 Chilean voices”, 2004.
25. Juan Vásquez (BS in Acoustical Engineering, Universidad Vicente Pérez Rosales),
Thesis: “Implementation of a phonetic database of 300 Chilean voices”, 2004.
26. Cristian Cárdenas (BS in Acoustical Engineering, Universidad Vicente Pérez Rosales),
Thesis: “Acoustical study of the Chilean social housing”, 2003.
27. Dirk Fox (BS in Acoustical Engineering, Universidad Vicente Pérez Rosales), Thesis:
“Noise control system for a specific urban bus model in Santiago”, 2002.
28. Eduardo Fuentes (BS in Acoustical Engineering, Universidad Vicente Pérez Rosales),
Thesis: “Noise control system for a specific urban bus model in Santiago”, 2002.
Matías Zañartu is a Full Professor in the Department of Electronic Engineering at Universidad Técnica Federico Santa María (UTFSM) in Valparaíso, Chile, and Principal Investigator and former Director of the Advanced Center for Electrical and Electronic Engineering (AC3E) at the same institution, where he also leads the biomedical engineering research and development. He received his Ph.D. and M.S. degrees in electrical and computer engineering from Purdue University, West Lafayette, USA. Before joining UTFSM in 2011, Dr. Zañartu was a Post-Doctoral Research Associate at Purdue University, a Graduate Intern Technical at Intel Corporation in Portland, and a Visiting Researcher at the Center for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital in Boston. His interests are centered on the development of digital signal and image processing, system modeling, and biomedical engineering tools that involve speech, hearing, and acoustics. His research has been funded by 22 grants in Chile and the US from ANID/CONICYT (1 BASAL, 4 FONDECYT PI, 2 FONDECYT CO-PI, 2 FONDEQUIP, 2 STARTUPCIENCIA, 2 MEC, 2 STICAMSUD), NIH NIDCD (2 P50, 1 R21, 1 R33), and MISTI (3 MIT Chile), accounting for more than US$23 million in direct funds during his career at UTFSM to date. Dr. Zañartu has a publication record of over 65 WoS publications, more than 125 presentations at international conferences, 4 PCT patent submissions (2 granted), and 1 book chapter. He is a Fellow of the Acoustical Society of America (ASA), a Fulbright Fellow, and an IEEE Senior Member. He serves as Associate Editor for JASA Express Letters from the ASA, and served in the same role for IEEE Transactions on Neural Systems and Rehabilitation Engineering from 2019 to 2023. Dr. Zañartu is also the co-founder of Lanek SpA, a startup company dedicated to the development of biomedical devices that has received various awards (CORFO, AIE, Avonni), and public and private funding in Chile.
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Fulbright fellowship
COMISION FULBRIGHT-CHILE
Estados Unidos, 2004
Fulbright scholarship to pursue graduate studies (MS) in the US. Total awarded US$35,000.
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Qualcomm “Q award of Excellence”
Qualcomm Inc.
Chile, 2007
QUALCOMM "Q" Awards of Excellence recognize engineering students for their ability to demonstrate the QUALCOMM values of Innovation, Execution and Partnership through their academic achievement, leadership skills and interest in wireless communications and the field of engineering with a US$5,000 scholarship
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IIE Scholarship
Institute of International Education
Chile, 2004
The Barsa Scholarships Program assists graduate and undergraduate students from designated Latin American countries in defraying the costs of U.S. training in certain priority fields. Total amount awarded in 2004-2006: US$8,000
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SHPE AHETEMS General Scholarship
Society of Hispanic Professional Engineers
Chile, 2008
Merit-based scholarship to qualified graduate students who demonstrate both significant motivation and aptitude for a career in science, technology, engineering or mathematics. Total awarded: US$3,000
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Best Student Poster in Laryngology/Bronchoesophagology
Triological Society
Chile, 2009
Co-author of first place poster in Laryngology/Bronchoesophagology at the Eastern Section Meeting of the Triological Society in Boston, January 2009. Total awarded: US$500
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Best Student Paper Award in Speech Communication
Acoustical Society of America
Chile, 2009
Best Student Paper Award in Speech Communication at the Acoustical Society of America Meeting in Portland, 2009.Total awarded: US$500
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Fellow of the Acoustical Society of America
Acoustical Society of America
Estados Unidos, 2024
Elected Fellow of the Acoustical Society of America in 2024 for his contributions to development and application of models of voice production. Dr. Zañartu is the first Chilean to hold this position.
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AIE-IEEE Outstanding Engineering Award
IEEE
Chile, 2023
"Outstanding Engineer Award AIE–IEEE" presented by the Electrical and Electronics Industrial Association (AIE) and the Institute of Electrical and Electronics Engineers (IEEE), in recognition of his professional development, contributions to engineering, and research capabilities.

Matias Zañartu
Full Professor
Department of Electronic Engineering
Universidad Técnica Federico Santa María
Valparaiso, Chile

Pavel Prado
Lead Researcher
Universidad Adolfo Ibáñez
Latin American Brain Health Institute (BrainLat)
Santiago de Chile, Chile

Juan Cortés
Associate Researcher
Electronic Engineering
Advanced Center of Electrical and Electronic Engineering
Valparaíso, Chile

Alejandro Weinstein
Associate professor
Electronics
Universidad Técnica Federico Santa María
Valparaiso, Chile

Mónica Otero
Investigadora
Facultad de Ingeniería, Arquitectura y Diseño
Universidad San Sebastián
Santiago de Chile, Chile

Maria-Jose Escobar
Associate Professor
Departamento de Electrónica
Universidad Técnica Federico Santa María
Valparaíso, Chile