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.
IEEE Transactions on Software Engineering. Leonardo Leite, Nelson Lago, Claudia Melo, Fabio Kon, and Paulo Meirelles, 2022.
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.
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;
Robson Aleixo, Fabio Kon, Rudi Rocha, Marcela Camargo, and Raphael De Camargo, authors of the paper “Predicting Dengue Outbreaks with Explainable Machine Learning”, awarded the Best Paper in International Workshop on Artificial Intelligence for Health – AI4Health – wich occurs in May 2022.
The workshop happened in conjunction with the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing – CCGrid 2022 – and aimed at bringing together researchers from academia, industry,
Projects presented in the recent edition of the ILP-FAPESP Science and Innovation Cycle discuss innovations for urban mobility such as analyzing potential cycling routes, safety and comfort for pedestrians and other research.
The project began in February 2018 and was developed by a partnership between InterSCity and Guiaderodas. More than a dozen of databases was analyzed to identify which are the regions with the best accessibility conditions according to some criteria related to urban mobility. The results were in Free Wheels portal, besides the interactive map with scores of each region.
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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.