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.
On November 22, the United Nations Statistics Division, together with other statistics organizations around the world, organized the UN Big Data Hackathon. Its goal was to develop ideas and solutions to help achieve the Sustainable Development Goals and to assist in resolving Global challenges.
Scipopulis, one of the members of the InterSCity project, took part in the challenge and analyzed disaster data along with socio-economical features of the cities where those disasters occurred to identify possible city characteristics that potentialize the occurrence of extreme climate events.
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;
“El automóvil será solamente una infraestructura a la que se accederá a pedido”, supone el científico de la computación Fabio Kon, del IME-USP. A su juicio, esta nueva realidad ofrecerá ventajas, tales como una mejora de la movilidad urbana y la seguridad vial, se reducirán drásticamente los accidentes y se liberarán para fines urbanísticos grandes espacios en zonas privilegiadas que actualmente se destinan al estacionamiento.
Un estudio realizado por Kon y su equipo en el ámbito del Instituto Nacional de Ciencia y Tecnología de Internet del Futuro para Ciudades Inteligentes (InterSCity),
Kifayat Ullah, an assistant professor at the CECOS University of Information Technology and Emerging Sciences in Peshawar, Pakistan, came to Brazil for a postdoctoral internship. “I had received offers from European universities but decided to stay in Brazil as I already felt at home in the country and had been awarded a FAPESP fellowship to continue my research on smart vehicular networks at IME-USP within the InterSCity project”.
Full article by FAPESP: https://revistapesquisa.fapesp.br/en/diversity-in-science/
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.