The Latin American Workshop on Information Fusion

Federal University of Rio de Janeiro - Brasil

November 23th, 2023

The First Latin American Workshop on Information Fusion (LAFUSION 2023) is a workshop focusing on the latest research results on the Information Fusion in Latin America. The goal of this workshop is to create a community of Information Fusion researchers in Latin America. Accepted papers will be published in IEEE. Authors of accepted papers are expected to present their work in a plenary session as part of the main workshop program. Proceedings will be indexed in the IEEE Digital Library, SCOPUS, and other prominent digital libraries.

Information fusion is a multidisciplinary field that focuses on combining and integrating information from diverse sources to improve the accuracy, completeness, and reliability of the resulting information. It involves the process of merging data or knowledge from multiple sensors, databases, or information systems to generate a unified and coherent representation of the underlying reality.

The main goal of information fusion is to extract meaningful and actionable insights by leveraging the strengths of individual information sources while compensating for their limitations, uncertainties, or redundancies. It aims to provide a more comprehensive and accurate understanding of a given situation or phenomenon than what can be achieved by using individual sources in isolation.

Information fusion techniques typically involve various processes, including data preprocessing, feature extraction, data association, probabilistic modeling, decision-making, and knowledge representation. These processes may utilize methods from diverse disciplines such as statistics, signal processing, pattern recognition, artificial intelligence, machine learning, and cognitive science.

Applications of information fusion are widespread and can be found in fields such as surveillance and intelligence, remote sensing, robotics, autonomous systems, medical diagnosis, weather forecasting, transportation systems, and cybersecurity. By integrating and interpreting information from multiple sources, information fusion enables improved situational awareness, decision-making, and prediction capabilities, leading to enhanced performance, efficiency, and reliability in complex and uncertain environments. Several Latin American problems could be solved by Information Fusion. We are looking to form a Forum to debate the usage of Information Fusion to produce solutions for the challenges in the region.

SUBMISSION

Submission to LAFUSION 2023 must be original (i.e., not previously published) and not currently under review by any other conference or journal. Submissions related to the featured topic are especially welcome, but all other submissions in the scope of LAFUSION are equally welcome, all submissions will be evaluated based on the same criteria. Will be accepted 4-6 page papers. It will also accept 2-page poster papers. LAFUSION 2023 will adopt a double-blind review process. Authors must make a good faith effort to anonymize their submissions to ensure that their identities are not disclosed to reviewers and reviewers are discouraged from actively working to uncover author identities. To promote early dissemination, submission to arXiv (or similar) is allowed, provided cross-citations are not made.