Heitor S. Ramos is at the Federal University of Minas Gerais, UFMG, Brazil, as an Associate Professor. He holds a PhD in Computer Science from the Federal University of Minas Gerais, UFMG, 2012, a master in Computing Modeling from the Federal University of Alagoas, UFAL, 2006, and a bachelor in Electrical Engineering from the Federal University of Paraíba, UFPB, 1997. His research interests rely on wireless networks, sensors networks, mobile and ad hoc networks, ubiquitous and pervasive computing, and vehicular networks. He pubilshed 20+ refeered scientific papers and received the best paper award at the The ACM Conference on Embedded Networked Sensor Systems - Sensys in 2012 with the article "Energy efficient GPS sensing with cloud offloading". In 2010, he received the Latin American PhD Fellowship Award from the Microsoft Research, USA. (Source: Lattes Curriculum)
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The research project called Quantifying Uncertainty in Adversarial Federated Learning aims to analyze and propose new approaches to distributed machine learning models that maintain privacy and security restrictions. Federated Learning (FL) is a promising approach to training data collaboratively on distributed devices while accounting for privacy restrictions. However, the FL training pr…
This project aims to investigate scientific research in Urban Computing, where new methods for analyzing social sensing data (participatory sensing, social network analysis, and opportunistic sensing) and remote sensing in the context of urban environments will be proposed. Initially, we will investigate new ways of representing time-series collected through social sensing based on the r…
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