Information Treating Intelligent Systems

Research & Innovation

IRIS Research

The Information tReating Intelligent Systems (IRIS) research group was founded in 2017 to investigate problems related to data engineering, data science, information retrieval and knowledge discovery, proposing and experimentally evaluating algorithms, approaches and techniques to address such problems.

We focus our research in three lines. Data Management (DMS): efficient approaches to organize, store and retrieve large volumes of heterogeneous data (Big Data). Information Retrieval (IRS): supervised and unsupervised approaches to collect, index, store, process and retrieve information from unstructured data. Knowledge Discovery (KDS): machine learning approaches to model, visualize and discover patterns within large volumes of data, especially the Web.

Research Topics

Data Management

Data Management

Organizing, storing and recovering large volumes of data from heterogeneous sources. Data modeling, database management systems, data integration, and non-traditional databases.
Information Retrieval

Information Retrieval

Gathering, indexing, storing, processing and retrieving information. Business intelligence, learning to rank, recommendation systems, search engines, and sentiment analysis.
Knowledge Discovery

Knowledge Discovery

Patterns discovery and visualization in large volumes of data. Information extraction, named entity recognition and classification, natural language processing, and pattern recognition.

Recent Research

Projects

IRIS researchers propose solutions for different problems related to our three research lines. Some of their work take place within research projects funded by industry and government agencies. Check some of our latest research projects.

For the next years we drive for
diversity, quality and productivity.

Today we are few computer science researchers working hard on several challenging research problems. In the next years, we intend to diversify our team by aggregating scientists from other research fields and increase the quality and volume of our scientific production.

Wladmir C. Brandão
IRIS Coordinator