• Research Groups

    1. SEISLAB

    Research concentrates on the development of methods and tools that allow the construction of high quality software. To do this, development processes, specification mechanisms, and software architecture that allow for the construction of robust, extensible and reliable software within the project parameters.


    Modern development processes to be used in concrete scenarios (small groups, web applications, embedded applications, etc.) are analyzed, studied and adapted. From the design perspective, the architecture requires that flexible applications be built in order to respond to a number of dynamic requirements.


    Professors: Yadran Eterovic, Jaime Navón, Andrés Neyem, Jose Ignacio Benedetto

    2. IALAB

    This area looks into the new theories and algorithms that increase the level of flexibility of actual computer applications. Systems developed from this type of technology are giving life to a new generation of tools equipped with high levels of adaptability and autonomy.


    Possible scenarios of this new model include proactive computer programs capable of exploring and quick reasoning in information systems and services such as the internet, astronomic catalogues or gene expression data, sophisticated robots and embedded systems capable of successfully operating in natural environments.


    In this context, the UC Department of Computer Science Research Group in Artificial Intelligence, IALab, carries out theoretical and applied research in Artificial Intelligence, Computer Vision and Robotics on new theories and algorithms.


    Professors: Jorge Baier, Hans Löbel, Denis Parra, Karim Pichara, Cristian Ruz, Álvaro Soto.

    3. Millennium Institute Foundational Research on Data

    The Millennium Institute Foundational Research on Data is a a reference research center that brings together scientists from the areas of computer science, statistics, political sciences, and communications, with the goal of developing interdisciplinary frontier science to address the foundational problems on data.


    The work of the IMFD is led by the principles of independence, transparency, and collaboration to do research that benefits society. With a rigorous interdisciplinary scientific approach it aims to study data in all its complex dimensions: its heterogeneity of sources and variety of formats; the challenges in storage, safety and privacy, the need for new query languages, the study of information availability and dissemination, the social uses and the impact of digital information, among others.


    Professors: Marcelo Arenas, Cristian Riveros, Denis Parra, Jorge Baier, Juan Reutter, Hans Löbel, Álvaro Soto

    4. HAPLAB


    Information Technology (IT) combines the technology behind hardware, software and telecommunications, with the aim of creating, warehousing, exchanging and using information to help generate value inside organizations. This line of research studies and designs effective solutions for the correct use of information systems and the management of IT departments, in public and private organizations.


    We investigate different types of information systems: collaborative systems, systems for the analysis and automation of processes, technology for business intelligence, plus aspects linked to the adoption and usability of these systems, and the IT management in organizations, among others.


    Professors: Valeria Herskovic, Jorge Muñoz Gama, Marcos Sepúlveda,

    5. XCV X-rays and Computer Vision

    The focus of the XCV Research Lab is on 2D and 3D optical (conventional) and X-ray images that can be interpreted with the help of computer vision algorithms. Special interest of our lab is to create algorithms that can be used to aid human operators, and algorithms that can be used to learn new models based on human perception.


    We are trying to incorporate the richness of human visual perception in the core of the proposed computer vision algorithms.In order to develop real-world applications of computer vision, the core of our research is the collaboration with local and international research labs and the industry.


    Professor: Domingo Mery

    6. Educational Informatics and Collaborative Systems

    DCC UC has a distinguished history in the research and development of Information Technology to support educational processes. To carry out this type of work, the starting point is to study how these processes are developed and how their integration with technology can help, motivate and enrich new virtual educational environments. Work by the Educational Informatics and Collaborative Systems areas is carried out by undergraduate and postgraduate students, academics and professionals from different fields: Education, Psychology and Engineering.


    The technological tools to support this work includes systems with mobile devices, interactive multimedia applications to support collaborative work, multi-mouse systems, didactic software games, personalized cognitive tutorials, video conferences, e-learning and blended-learning.


    Professor:Miguel Nussbaum, Valeria Herskovic

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