Computing

An indoor mobile robot that uses a large scale visual memory and a visual ontology to recognize objects, actions, and scenes

This project is overseen by Professor Álvaro Soto.

Extending and generalizing real-time and incremental heuristic search (FONDECYT 2015 – 2018)

This project is overseen by Professor Jorge Baier.

Critical thinking, culture and computer supported learning (FONDECYT 2015 – 2018

This project is overseen by Professor Miguel Nussbaum.

Professor Karim Pichara, in collaboration with the Institute for Applied Computational Science of Harvard University and the Millennium Institute of Astrophysics, is working on developing new machine-learning techniques applied to astronomical data. The goal of these techniques is to automatically classify variable stars, detect quasars, and manage incomplete data from astronomical explorations. This research also contributes to training new generations of astronomers and engineers in advanced methods of astro-statistics and astro-computing.

Analysis of multidisciplinary collaboration in primary healthcare using process mining

This project is overseen by Professor Valeria Herskovic.

Dealing with information overload by leveraging intelligent user interfaces for recommender sytems

This project is overseen by Professor Denis Parra.

Models and algorithms in stochastic integer programming (Iniciación 2015 – 2018)

This project is overseen by Professor Gustavo Angulo.

Automata-based foundations for processing streaming data

This project is overseen by Professor Cristián Riveros.

FoG-Foundations of Graph structured data (PCI 2016- 2017)

This project is overseen by Professor Cristián Riveros.

Recognition of prohibited objects in baggage inspection using 3X-strategy (FONDECYT Regular 2016 – 2019)

This project is overseen by Professor Domingo Mery.

Distributed multi-agent control for the Internet of Things (FONDECYT Regular 2016 – 2019)

This project is overseen by Professor Felipe Núñez.

Using data from Bluetooth scanners to obtain traffic information (FONDECYT Regular 2016 – 2019)

This project is overseen by Professor Juan Carlos Herrera.

This project is overseen by Mar Pérez Sanagustín, in cooperation with Professor Denis Parra, and doctorate students Isabel Hilliger and Jorge Maldonado.

Self-regulated learning strategies in MOOC-based environments (Iniciación 2015 – 2018)

This project is overseen by Professor Mar Pérez Sanagustín.

Approximation algorithms for load balancing problems via local properties

This project is overseen by Professor José Verschae.

Metadata languages for CSV files (Iniciación 2016 – 2019)

This project is overseen by Professor Domagoj Vrgoc.

High-performance computing of electromagnetic scattering at heterogeneous objects (Iniciación 2016 – 2019)

This project is overseen by Professor Elwin van ‘t Wout.

Static analysis and learning problems for JSON schema (FONDECYT Regular 2017)

This project is overseen by Professor Juan Reutter.

Uncertainty quantification and advanced boundary element methods for electromagnetic wave scattering problems (FONDECYT Regular 2017)

This project is overseen by Professor Carlos Jerez.

Online stochastic estimation of inertial parameters for skid-steer mobile manipulators in industrial environments (FONDECYT Regular 2017)

This project is overseen by Professor Miguel Torres.

Expanding the scope of first-order methods in optimization, learning and beyond (FONDECYT Iniciación 2017 – 2019)

This project is overseen by Professor Cristóbal Guzmán.