The Future Internet will integrate large-scale systems constructed from the composition of thousands of distributed services, while interacting directly with the physical world via sensors and actuators, which compose the Internet of Things.
InterSCity researchers seek to apply novel Computer Science and Technology techniques to tackle urban social problems in underprivileged neighborhoods and low-income populations, leveraging existing data and collecting and analyzing new datasets to support Evidence-based Public Policymaking.
Journal of Internet Services and Applications, vol 12. Tallys G. Martins, Nelson Lago, Eduardo F. Z. Santana, Alexandru Telea, Fabio Kon, and Higor A. de Souza, 2021.
Future Generation Computer Systems, v. 124. Fernanda Dallaqua, Álvaro Fazenda, and Fabio Faria, 2021.
Public Transport, march. Fabio Kon, Éderson Cássio Ferreira, Higor Amario de Souza, Fábio Duarte, Paolo Santi and Carlo Ratti, 2021.
Simulation Modelling Practice and Theory 107. Eduardo Felipe Zambom Santana, Gustavo Covas, Fábio Duarte, Paolo Santi, Carlo Ratti, and Fabio Kon, 2021.
Communications of the ACM, November 2020, Vol. 63 No. 11, Pages 51-52. Fabio Kon, Kelly Braghetto, Eduardo F. Z. Santana, Roberto Speicys, Jorge Guerra Guerra , 2020.
A new machine learning model, adapted for Brazillian reality, can predict up to 3 months in advance dengue outbreaks in specific city neighborhoods, like the Rio de Janeiro capital. The article “Predicting Dengue Outbreaks with Explainable Machine Learning” received the best paper award in Workshop Internacional AI4Health, which was realized in Italy in May of this year.
The researchers used open data from different databases from the metropolis of Rio de Janeiro.
The article “Drones in the Big City: Reducing Collisions in Air Deliveries” (in Portuguese), whose authors were Fabíola de Oliveira (UFABC), Luiz Fernando Bittencourt (UNICAMP), Reinaldo Bianchi (FEI), Carlos Kamienski (UFABC), received an award for best paper at the VI Workshop on Urban Computing (CoUrb) of the XL Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2022), in the city of Fortaleza, Ceará.
The workshop’s idea is to implement intelligent solutions to these problems;
Scipopulis was one of the five Brazilian startups selected to participate in a program aimed at giving visibility to fast-growing startups in the long term, with solutions to fight climate change.
Full article (in Portuguese):
https://pesquisaparainovacao.fapesp.br/2034
Software created at USP and in use by the CET (city transit company) may guide decisions about new subway lines, bike routes, and automobile traffic.
Full article (in Portuguese): https://www.automotivebusiness.com.br/pt/posts/mobility-now/e-se-carros-autonomos-rodassem-na-avenida-paulista-simulador-mostra-impacto-da-tecnologia/
A microservice-based, open-source smart city platform that aims at supporting collaborative, novel smart city research, development, and deployment initiatives.
An open-source, extensible, large-scale Traffic Simulator for Smart Cities, extensible to other Smart City domains.
A middleware for large-scale, low-latency processing of mobile data streams with support for mobile-mobile cooperation, context awareness, connection balancing, and cloud integration.
An interconnected network based on NFV to research aspects of network security in order to address the challenges posed by IoT technologies.
This project aims at developing sensor prototypes for monitoring the environment using free-design hardware and open source software. The project includes a base station and a sensor station including these sensors: LDR, DHT22, Soil Moisture, sap-flow, and leaf temperature.
