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Alvaro Marcelo Soto Arriaza

Associate Professor

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

Líneas de Investigación


Artificial Intelligence; Machine Learning; Cognitive Robotics

Educación

  •  Master in Computer Science, LOUISIANA STATE UNIVERSITY. Estados Unidos, 1996
  •  Ingeniero Civil de Industrias, Mención Eléctrica, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 1993
  •  Licenciado en Ciencias de la Ingeniería, UNIVERSIDAD DE CHILE. Chile, 1992
  •  Ph.D. in Computer Science, CARNEGIE MELLON UNIVERSITY. Estados Unidos, 2002

Experiencia Académica

  •   Associate Professor Full Time

    PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

    Engineering

    Santiago, Chile

    2002 - A la fecha

Experiencia Profesional

  •   Profesor Asociado Full Time

    Pontificia Universidad Católica de Chile

    Santiago, Chile

    2002 - A la fecha

  •   Ingeniero de Investigación Part Time

    Dictuc S.A.

    Santiago, Chile

    1994 - Sin Información

Formación de Capital Humano


In terms of human capital training, currently our research group on artificial intelligence has more than 50 people among professors, postdoc, and graduate students.
Please see our website http://ialab.ing.puc.cl/


Difusión y Transferencia


In terms of research, we pay a special effort to face AI from a multidisciplinary perspective by applying machine learning techniques to different application areas. In particular, we face research challenges to develop and scale new machine learning techniques to the case of large data problems in fields such as: bioinformatics [1], astronomy [2], food quality evaluation [3], and computer vision [4]. We strongly believe that besides scaling machine learning techniques to big data scenarios it is also highly relevant to establish a close connection to the application areas.
Our main spin-off: https://www.zippedi.com/


Premios y Distinciones

  •   Graduate Fellowship

    CARNEGIE MELLON UNIVERSITY

    Estados Unidos, 2002

    Graduate Fellowship, Robotics Institute, School of Computer Science

  •   Graduate Tuition Award

    LOUISIANA STATE UNIVERSITY

    Chile, 1996

    Graduate Tuition Award, Department of Electrical and Computer Engineering

  •   Premio Nacional Avonni a la Innovación en la categoría Servicios Digitales Entel 2018

    DIARIO EL MERCURIO

    Chile, 2018

    El Premio de Innovación Avonni es el reconocimiento honorífico más importante de Chile, que busca visibilizar los casos de éxito que están creando valor mediante la innovación en distintos rubros y categorías. Este premio fue otorgado a la empresa Zippedi, co-fundada y liderada por el profesor del Departamento de Ciencias de la Computación, Álvaro Soto. Este importante reconocimiento fue logrado por la creación del primer robot chileno con inteligencia artificial que entrega servicios a la industria del retail, siendo capaz de monitorear errores en los rótulos de los precios y detectar productos mal ubicados en las góndolas de supermercados.


 

Article (38)

APEX: affordance-based plan executor for indoor robotic navigation
Learning Sentence-Level Representations with Predictive Coding
PIVOT: Prompting for Video Continual Learning
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning
Automatic document screening of medical literature using word and text embeddings in an active learning setting
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition
Explaining VQA predictions using visual grounding and a knowledge base
GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features
Mixture of Experts with Entropic Regularization for Data Classification
GENIUS=> web server to predict local gene networks and key genes for biological functions
Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos
A proposal for supervised clustering with Dirichlet Process using labels
Learning Shared, Discriminative, and Compact Representations for Visual Recognition
Embedded local feature selection within mixture of experts
Automated Design of a Computer Vision System for Visual Food Quality Evaluation
Enhancing K-Means using class labels
Indoor scene recognition by a mobile robot through adaptive object detection
Local Feature Selection Using Gaussian Process Regression
Discriminative local subspaces in gene expression data for effective gene function prediction
Indoor Mobile Robotics at Grima, PUC
Active learning and subspace clustering for anomaly detection
Automated fish bone detection using X-ray imaging
Human detection using a mobile platform and novel features derived from a visual saliency mechanism
Quality classification of corn tortillas using computer vision
Active visual perception for mobile robot localization
Collaborative robotic instruction: A graph teaching experience
An autonomous educational mobile robot mediator
Unsupervised anomaly detection in large databases using Bayesian networks
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
A STATISTICAL APPROACH TO SIMULTANEOUS MAPPING AND LOCALIZATION FOR MOBILE ROBOTS
An accelerated algorithm for density estimation in large databases using Gaussian mixtures
Using data mining techniques to predict industrial wine problem fermentations
Mobile robotic supported collaborative learning (MRSCL)
Statistical inference in mapping and localization for mobile robots
A method to adaptively propagate the set of samples used by particle filters
A probabilistic approach for dynamic state estimation using visual information

ConferencePaper (28)

Optimizing Reusable Knowledge for Continual Learning via Metalearning
Differentiable Adaptive Computation Time for Visual Reasoning
Behavioral Indoor Navigation with Natural Language Directions
Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization
Towards improving Top-N recommendation by generalization of SLIM
Visual recognition to access and analyze people density and flow patterns in indoor environments
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities
Human Action Recognition from Inter-temporal Dictionaries of Key-Sequences
Human action recognition from interoral dictionaries of key-sequences
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition
Face Recognition with Decision Tree-Based Local Binary Patterns
Learning discriminative local binary patterns for face recognition
Mixing hierarchical contexts for object recognition
Face recognition with local binary patterns, spatial pyramid histograms and naive bayes nearest neighbor classification
Indoor Scene Recognition Through Object Detection
Performance evaluation of the Covariance descriptor for target detection
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions
Features: The More The Better
Improving the Selection and Detection of Visual Landmarks Through Object Tracking
Real-Time Robot Localization In Indoor Environments Using Structural Information
Human detection in indoor environments using multiple visual cues and a mobile robot
A mobile robotics course for undergraduate students in computer science
Automatic selection and detection of visual landmarks using multiple segmentations
Detection of rare objects in massive astronomical datasets using innovative knowledge discovery technology
Self Adaptive Particle Filter
Adaptive hierarchical contexts for object recognition with conditional mixture of trees
An ensemble of Discriminative Local Subspaces in Microarray Data for Gene Ontology Annotation Predictions

Proyecto (25)

An indoor mobile robot that uses a large scale visual memory and a visual ontology to recognize objects, actions, and scenes
Visual detection of unusual events for automatic visual surveillance of the elderly
(Collaborative ICT Research Federation), An Intelligent Tutoring System Based on Novel Sensing Modalities.
Indoor Scene and Object Recognition by a Mobile Robot, Using Visual Grammars and Machine Learning Techniques.
Environmentally-Adaptive Vision-Based Navigaton
Environmentally-Adaptive Vision-Based Navigation.
An Intelligent Tutoring System Based on Novel Sensing Modalities
Medición de Flujos y Densidades Espaciales de Clientes en Grandes Tiendas de Retail Usando Múltiples Cámaras de Video.
A General Methodology for Robust Automated X-Ray Testing of Complex Structures Based on Adaptive Multiple View Planning
An indoor mobile that recognizes common places and objects in its environment using an active vision and machine learning approach
SalmonX: automatic visual inspection in salmon productions lines using X ray
An Indoor Mobile Robot that Recognizes Common Places and Objects in its Environment Using an Active Vision and Machine Learning Approach.
Núcleo Milenio en Genómica Funcional de Plantas.
SalmonX=> Inspección visual automática de filetes de salmón usando rayos X.
A real time system based on computer vision techniques to supervise and allocate cash registers at grocery stores
Millennium Nucleus in Functional Genome of the Plant
A Mobile Robot Using a Decision Theoretical Planner Based on Hierarchical and Spatio-Temporal Reasoning to Adaptively Communicate Relevant Content.
Detection of Rare Objects in Massive Astrophysical Datasets Using Innovative Knowledge Discovery Technology.
Investigador Asociado proyecto=> Real Time Intelligent Control for Integrated Transit Systems.
Real-time intelligent control for integrated transit systems
A Deliberative Mobile Robot Using Bayesian Statistical Inference to Autonomously Explore and Map a Dynamic Indoor Natural Environment.
A Robotics Lab to Support Computer Science Education,
Analizador de características de espuma para celdas de flotación utilizando visión artificial (AceFlot). Departamento de Investigaciones Científicas.
Flow Measurement and Customer space densities in large retail stores using multiple video cameras
Indoor Scene and Object Recognition by a Mobile Robot, Using Visual Grammars and Machine Learning Techniques
75
Alvaro Soto

Associate Professor

Computer Science

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

11
DOMINGO MERY

Profesor Titular

Computación

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

5
Billy Peralta

Profesor Asistente

Cienciad de la Ingeniería

Universidad Andrés Bello

Santiago, Chile

5
Ana Araneda

Profesor Asociado Adjunto

Estadistica

Pontificia Universidad Catolica de Chile

Santiago, Chile

5
Hans Lobel

Profesor Asistente

Departamento de Ingeniería de Transporte y Logística / Departamento de Ciencia de la Computación

Pontificia Universidad Católica de Chile

Santiago, Chile

4
Aldo Cipriano

Full Professor

Electrical Engineering, Mechanical Engineering

PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE - DEPTO. ING. ELÉCTRICA

Santiago, Chile

4
Denis Parra

Profesor Asociado

Ciencia de la Computación

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

3
Miguel Nussbaum

Full professor

Engineering

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

2
Luis Caro

Profesor Asistente

Informática

Universidad Católica de Temuco

Temuco, Chile

2
Alejandra Urtubia

Associate Professor

Chemical and Environmental Engineering

Universidad Técnica Federico Santa María

Valaparaiso, Chile

1
Christian Pieringer

Manager of Artificial Intelligence and Data Science

Artificial Intelligence & Data Science

PhageLab Spa

San Joaquín, Chile

1
José Pérez

Profesor Titular

Ingeniería Química y Bioprocesos

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

1
Stefan Pszczolkowski

Research Fellow

Medicine

University of Nottingham

Nottingham, Reino Unido

1
Marcelo Mendoza

Académico

Ciencias de la Computación

Pontificia Universidad Católica de Chile

Santiago, Chile

1
Franco Pedreschi

Director

Departamento de Ingeniería Química y Bioprocesos

Pontificia Universidad Católica de Chile

Macul, Chile

1
Cristian Ruz

Profesor Asistente Adjunto

Ciencia de la Computación

Pontificia Universidad Católica de Chile

Santiago, Chile

1
Rodrigo Gutierrez

Full Professor

Molecular Genetics & Microbiology

PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE

Santiago, Chile

1
Vladimir Riffo

Académico

DIICC

Universidad de Atacama

Copiap'o, Chile

1
Miguel Torres

Associate Professor

Department of Electrical Engineering

Pontificia Universidad Catolica de Chile

Santiago, Chile

1
Ricardo Giesen

Director and Associate Professor

Transport Engineering and Logistics

PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE

Santiago, Chile

1
Juan Muñoz

Professor

Department of Transport Engineering and Logistics

Pontificia Universidad Catolica de Chile

Santiago, Chile

1
Andrés Carvallo

Investigador

Centro Nacional de Inteligencia Artificial

Santiago, Chile

1
Cecilia Besa

Associate Professor

Radiology

Pontificia Universidad Católica de Chile

Santiago, Chile

1
Marcelo Andia

Associate Professor

Radiology

Pontificia Universidad Catolica de Chile

Santiago, Chile

1
Analí Alfaro

Profesor

Informática

Universidad de Santiago de Chile

Santiago, Chile