Man

David Zabala Blanco

ACADEMICO

Universidad Católica del Maule

Talca, Chile

Líneas de Investigación


Visible light systems, machine learning, OFDM-based systems, biometry

Educación

  •  Tecnologías de Información y Comunicaciones, INSTITUTO TECNOLOGICO DE MONTERREY. México, 2018
  •  Telecommunications, INSTITUTO TECNOLOGICO DE MONTERREY. México, 2014
  •  Sistemas Electrónicos, Escuela Militar de Ingeniería Mcal. Antonio José de Sucre. Bolivia, 2011

Experiencia Académica

  •   Instructor Part Time

    INSTITUTO TECNOLOGICO DE MONTERREY

    México

    2012 - 2014

  •   Instructor Full Time

    Universidad Privada Franz Tamayo

    Bolivia

    2018 - 2018

  •   Lecturer Part Time

    Escuela Militar de Ingeniería Mcal. Antonio José de Sucre

    Chile

    2015 - 2015

  •   ACADEMICO Full Time

    UNIVERSIDAD CATOLICA DEL MAULE

    DE CIENCIAS DE INGENIERIA

    TALCA, Chile

    2021 - A la fecha

  •   POSTDOCTORADO Full Time

    UNIVERSIDAD CATOLICA DEL MAULE

    TALCA, Chile

    2019 - 2021

Experiencia Profesional

  •   Administrador Técnico Part Time

    SERVITELSAT S.R.L.,

    Bolivia

    2015 - 2015

  •   Administrador Técnico Part Time

    SERVITEL S.R.L.

    Bolivia

    2012 - 2012

Formación de Capital Humano


• Raúl Enrique Zamora Illanes, “Reconocimiento y clasificación de emisores para comunicación por luz visible mediante visión artificial ”, Ingeniero de Ejecución en Electricidad of the Universidad Santiago de Chile, July 2021
• Axel Quinteros Castillo, “Perceptrón multicapa entrenado por Extreme Learning Machine para clasificar huellas dactilares”, Master in Computer Sciences of the Universidad Católica del Maule, October 2022
• Leonardo Bastián Igor Moraga, “Diseño e Implementacion de un Prototipo Calibrador de Antenas para Señales Microondas”, Electronic Sciences Engineering of the Universidad Católica del Maule, July 2023
• Agustín Adolfo Mascaro Muñoz, “Implementación de sistema por luz visible en el contexto de minería subterránea”, Electronic Sciences Engineering of the Universidad Católica del Maule, en realización
• Nicolas Endris Aravena Gomez, “Sistema de comunicación por luz visible basada en alineamiento entre el transmisor y el receptor para ambientes de interior en el contexto de seguridad de datos”, Electronic Sciences Engineering of the Universidad Católica del Maule, en realización
• Diego Alonso Martinez Pereira, “Detección de enfermedades cardiacas a través de Máquinas de Aprendizaje Extremo utilizando una interfaz gráfica amigable”, Electronic Sciences Engineering of the Universidad Católica del Maule, en realización
• Kamila Castro, “Desarrollo de una Aplicación para Computadora Basada en Algoritmos de Máquinas de Aprendizaje Extremo para la Detección Mejorada del Cáncer de Mama”, Electronic Sciences Engineering of the Universidad Católica del Maule, en realización
• José Diego Lucas Ramírez Carrasco, “Estimaci´on del precio de los diamantes usando maquinas de aprendizaje extremo”, Electronic Sciences Engineering of the Universidad Católica del Maule, en realización


Premios y Distinciones

  •   Meeting of Bolivian scientists living abroad for scientific and technological liberation

    Ministerio de Educacion

    Bolivia, 2015

    The first and only meeting of Bolivian scientists living abroad for scientific and technological liberation that was held in Cochabamba, Bolivia (in January 2015).

  •   Selected paper award as first and correspondence author of the manuscript “Fingerprint Classification through Standard and Weighted Extreme Learning Machines

    IEEE

    Chile, 2021

    Lo Mejor de lo Nuestro (LMN) ,Jornadas Chilenas de Computación


 

Article (73)

A New Internet of Things Hybrid VLC/RF System for m-Health in an Underground Mining Industry
A New COVID-19 Detection Method Based on CSK/QAM Visible Light Communication and Machine Learning
A Novel Traffic Prediction Method Using Machine Learning for Energy Efficiency in Service Provider Networks
A-Survey: Identification and Classification of Fingerprints via the Extreme Learning Machine Algorithm
Automation of Counting and Analysis of Biological Samples through Computer Vision and Telecommunication Technologies
Detection of Obfuscated Malware by Engineering Memory Functions Applying ELM
Evaluation of Extreme Learning Machines for Detecting Heart Diseases
Experimental Study of Visible Light Communication Links with a Strong Line of Sight Component
Extreme Learning Machine (ELM) for Detection of Hazardous Near Earth Objects
Extreme Learning Machines as Equalizers on Optical OFDM Systems
Extreme Learning Machines for Detecting the Water Quality for Human Consumption
Multi-channel Target Speech Enhancement using Labeled Random Finite Sets and Deep Learning under Reverberant Environments
On the Performance of MIMO-VLC Techniques in Underground Mining Environments
SoftVein-WELM: A Weighted Extreme Learning Machine Model for Soft Biometrics on Palm Vein Images
Speaker Counting Based on a Novel Hive Shaped Nested Microphone Array by WPT and 2D Adaptive SRP Algorithms in Near-Field Scenarios
Wine Quality Classification using Physicochemical Properties along with Extreme Learning Machines
3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with GEVD and Adaptive GCC-PHAT/ML Algorithms
A General MIMO VLC Channel Model for Underground Mining Environments
A Novel and Adaptive Angle Diversity-Based Receiver for 6G Underground Mining VLC Systems
An Enhanced VLC Channel Model for Underground Mining Environments Considering a 3D Dust Particle Distribution Model
Bit error probability of VLC systems in underground mining channels with imperfect CSI
Classification of Diseased and Healthy Apple Leaves through Extreme Learning Machines
Deep Neural Network aided Sparse Bayesian Learning for Wireless Access Channel Estimation in mm-Wave Massive MIMO Cloud Radio Access Network Systems
Estimating the Number of Speakers by Novel Zig-Zag Nested Microphone Array Based on Wavelet Packet and Adaptive GCC Method
Extreme Learning Machine for Mass Spectrometry Data Analysis
Fingerprint Classification with the Extreme Learning Machine Algorithm for Multilayer Perceptron
Multi-Speaker Localization by Central and Lateral Microphone Arrays Based on the Combination of 2D-SRP and Subband GEVD Algorithms
Neuromorphic Spectrum Occupancy Learning in Cognitive Cloud Radio Access System
Novel Multilayer Extreme Learning Machine as a Massive MIMO Receiver for Millimeter Wave Communications
On the Performance of Angular Diversity Receivers in Underground Mining VLC Systems
Performance analysis of IEEE 802.15.7-based visible light communication systems in underground mine environments
PVEIN-MLELM: a Novel Palm Vein Identification Approach through Multilayer Extreme Learning Machine
Review of Extreme Learning Machines for the Identification and Classification of Fingerprint Databases
UWB-OFDM System Model for Breast Cancer Detection
Web-based personal access control system using facial recognition with deep learning techniques
Comparison of different Machine Learning techniques for PCE estimation of MMWave Energy Harvesting Rectifier devices
Evaluation of the standard and regularized ELMs for gender and age classification based on palm vein images
Extreme Learning Machine Based Channel Estimator and Equalizer for Underground Mining VLC Systems
Extreme Learning Machine-Based Receiver for Multi-User Massive MIMO Systems
Forescating Mobile Network Traffic based on Deep Learning Networks
Low PAPR mapping for 16-QAM OFDM-based systems
Multiclassification of cardiac arrhythmias using a neural network and the <i>MyRio</i>-1900 card
Multilayer Extreme Learning Machine as Equalizer in OFDM-Based Radio-Over-Fiber Systems
Network Traffic Prediction Using Online-Sequential Extreme Learning Machine
Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections
Phase-noise Compensation for QPSK-RoF-OFDM Signals with the Extreme Learning Machine Algorithm for Multilayer Perceptron
Semi-Supervised Extreme Learning Machine Channel Estimator and Equalizer for Vehicle to Vehicle Communications
Speakers counting by proposed nested microphone array in combination with limited space SRP
SVM and ANN classification using GLCM and HOG features for COVID-19 and Pneumonia detection from Chest X-rays
Three-dimensional sound source localization by distributed microphone arrays
Training strategies to minimize interchannel interference effects using supervised learning in gridless Nyquist-WDM systems
Wireless OFDM links with equalizers based on extreme learning machines
3D Multiple Sound Source Localization by Proposed Cuboids Nested Microphone Array in Combination with Adaptive Wavelet-Based Subband GEVD
A novel method for estimating the number of speakers based on generalized eigenvalue-vector decomposition and adaptive wavelet transform by using K-means clustering
A VLC Channel Model for Underground Mining Environments With Scattering and Shadowing
Empirical Path Loss Distribution for Visible Light Communications in Underground Mines
Evaluation of localization precision by proposed quasi-spherical nested microphone array in combination with multiresolution adaptive steered response power
Fingerprint Classification through Standard and Weighted Extreme Learning Machines
Finite Field Metrics Applied to M-FSK Modulation in VLC Systems
ICI Reduction by Using the Improved Double-jump 1 Pulse in MQAM-OFDM Schemes
Improved Double-jump 2 Pulse to Compensate Frequency Offset in MQAM-OFDM Systems
Interference Mitigation for Visible Light Communications in Underground Mines Using Angle Diversity Receivers
Multiresolution Speech Enhancement Based on Proposed Circular Nested Microphone Array in Combination with Sub-Band Affine Projection Algorithm
OFDM tolerance to additive white Gaussian and laser phase noises in optical heterodyning systems accompanied by the feasible pilot-assisted equalization
Performance Analysis of OFDM-Based VLC Schemes in NLOS Channels
Relaxation of the Radio-Frequency Linewidth for Coherent-Optical Orthogonal Frequency-Division Multiplexing Schemes by Employing the Improved Extreme Learning Machine
The Extreme Learning Machine Algorithm for Classifying Fingerprints
A Novel Frequency Domain Visible Light Communication (VLC) Three-Dimensional Trilateration System for Localization in Underground Mining
Extreme Learning Machines to Combat Phase Noise in RoF-OFDM Schemes
BER reduction in OFDM systems susceptible to ICI using the exponential linear pulse
General nyquist-I pulses to mitigate carrier frequency offset in DVB-C-OFDM systems
Mitigated ici in DVB-C2-OFDM systems utilizing the optimal improved double jump 1 filter
Performance enhancement in OFDM systems with ICI utilizing the improved double jump linear combination pulse

ConferencePaper (5)

Comparative Analysis of Cooperative Routing Protocols in Cognitive Radio Networks
Propagation Features of Visible Light Communication in Underground Mining Environments
All-optical Routers Modeled through the Matrix Method with NVidia CUDA Development Framework
BER improvement using the better than double-jump 2 pulse in OFDM schemes prone to frequency offset
BER Performance of OFDM-Based Visible Light Communication Systems

Proyecto (2)

Advances in Visible Light Communication Systems Applied to Undeground Mining Environments
• Very Large Fingerprint Classification based on a Fast and Distributed Extreme Learning Machine Neural Network

Review (2)

Traffic Sign Detection and Recognition Using YOLO Object Detection Algorithm: A Systematic Review
Impact of partial phase decorrelation on the performance of pilot-assisted millimeter-wave RoF-OFDM systems
82
David Zabala

ACADEMICO

COMPUTACION E INDUSTRIAS

Universidad Católica del Maule

Talca, Chile

23
Cesar Azurdia

Associate Professor

Departamento de Ingeniería Electrica

UNIVERSIDAD DE CHILE

Santiago, Chile

19
Ali Dehghanfirouzabadi

Profesor asociado

Departamento de Electricidad

Universidad Tecnológica Metropolitana (UTEM)

SANTIAGO, Chile

11
Jose_Ismael Soto

Profesor

Ingenieria Electrica

USACH

Santiago, Chile

9
Pablo Palacios

Profesor Asistente

Universidad Diego Portales

Santiago, Chile

5
Pablo Irarrazaval

Professor

Electrical Engineering

Pontificia Universidad Católica de Chile

Santiago, Chile

4
Pablo Adasme

Academico jornada completa

Ing. Electrica

Universidad de Santiago de Chile

Santiago, Chile

4
Marco Mora

Academico

Universidad Católica del Maule

Talca, Chile

3
Fabian Seguel

Profesor Jornada completa

Departamento de Ingeniería Eléctrica

Universidad de Santiago de Chile

Santiago, Chile

2
Sandy Bolufé

Profesor Asistente

Ingeniería Eléctrica

Universidad de Santiago de Chile

Santiago, Chile

2
Ruber Hernández

Académico Investigador

Centro de Investigación de Estudios Avanzados del Maule

Universidad Católica del Maule

Talca, Chile

1
Shaharyar Kamal

Assistant Professor

Electrical Engineering

Universidad de Chile

Santiago, Chile

1
Ricardo Barrientos

Académico / Director del Magíster en Ciencias de la Computación

Computación e Industrias

Universidad Católica del Maule

Talca, Chile

1
Francisco Rau

Investigador de Magíster

Departamento de Ingeniería Eléctrica

Universidad de Santiago de Chile

Santiago, Chile

1
Sebastian Gutierrez

Investigador

Eléctrica

universidad de santiago

Santiago, Chile

1
Esteban Toledo

Ingeniero de Proyectos

Investigación, Desarrollo e Innovación

PGA SOLUTIONS

Santiago, Chile

1
Raúl Zamorano

Investigador I+D

I+D

Smart Partners

Santiago, Chile

1
veronica garcia

academico

DECYTAL

Universidad de Santaigo

Estación central, Chile