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.
The InterSCity project seeks post-doctoral researchers that have already demonstrated a good capacity of producing high-quality research with publications in top international journals and conferences. If you believe you fall into this description and are interested in working with us, apply for a position in the InterSCity Project.
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.
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.
Journal of Internet Services and Applications, november. João Vitor Torres, Igor Drummond Alvarenga, Raouf Boutaba and Otto Carlos Muniz Bandeira Duarte, 2019.
InterSCity had a strong presence in the 2020 edition of SBRC (Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos)! Among the various excellent papers presented, the group received several awards:
Best paper in CoUrb workshop for the paper “Visualizing the structure of urban mobility with bundling: A case study of the city of São Paulo“, by Tallys Martins (IME-USP), Fabio Kon (IME-USP), Nelson Lago (IME-USP),
On 06/12, we had the first InterSCity project webinar, open to the general public. The presentation slides and videos are available!
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.
Roberto Speicys explains that the Trancity platform is able to measure data involving gas emissions, besides calculating circulation values and average speed.
Full article (in portuguese): https://jornal.usp.br/universidade/plataforma-calcula-dados-de-emissao-de-gases-no-transporte-publico/
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.