Providing Smarer Wireless Sensor Networks and UAVs: A Study in the Autonomous Networks Laboratory at USC

• Grant number: 14/19076-0
• Support Opportunities: Scholarships abroad - Research
• Start date: January 05, 2015
• End date: January 04, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Jó Ueyama
• Grantee: Jó Ueyama
• Host Investigator: Bhaskar Krishnamachari
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: University of Southern California (USC), United States

Abstract

This project presents the design of internship abroad to be held by Prof Jo Ueyama at the University of Southern California (USC) in Los Angeles, USA, for a period of 12 months. Jo completed his PhD in Lancaster University (England) in 2006 and held two postdoctoral (the first at the University of Kent at Canterbury in 2006 - with a grant from EPSRC-UK and the second in 2007 at UNICAMP - with a grant from FAPESP). After the two postdocs, Jo took over as Assistant Professor at the University of São Paulo in 2008. In 2013, he received the title of Associate Professor and is currently Associate Professor at USP and is CNPq Fellow DT-2. Jo works in the area of computers and teaches classes on topics related to the area as Mobile Networks and Ubiquitous Computing networks. His research has focused on wireless sensor networks (WSN) and unmanned aerial vehicles (UAVs). He has had partnerships with several researchers in Brazil, such as those from the IC/UNICAMP, as well as with Prof. Loureiro DCC/ UFMG. In projects with support from FAPESP, CNPq and RNP, Jo and his group investigated the use of middleware to facilitate programming WSNs and UAVs. In this, Jo built several applications, such as the use of WSN to monitor urban rivers and smart grids. After carrying out research in these fronts during the six years of teaching, research and extension, Jo now plans to improve himself in his research and investigate how to provide greater intelligence in WSNs and UAVs, to better meet the proposed applications. He plans to conduct this research during his Sabbatical Leave in the seventh year of its activity iat the USP. Thus, this document presents the objectives and the work plan of the internship abroad as well as the justifications for conducting it at USC.

Scientific publications

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(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

FURQUIM, GUSTAVO; PESSIN, GUSTAVO; FAICAL, BRUNO S.; MENDIONDO, EDUARDO M.; UEYAMA, JO. Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory. NEURAL COMPUTING & APPLICATIONS, v. 27, n. 5, p. 13-pg., 2016-07-01. (08/58161-1, 14/19076-0, 13/18859-8, 12/22550-0)

MANO, LEANDRO Y.; FAICAL, BRUNO S.; NAKAMURA, LUIS H. V.; GOMES, PEDRO H.; LIBRALON, GIAMPAOLO L.; MENEGUETE, RODOLFO I.; FILHO, GERALDO P. R.; GIANCRISTOFARO, GABRIEL T.; PESSIN, GUSTAVO; KRISHNAMACHARI, BHASKAR; et al. Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. COMPUTER COMMUNICATIONS, v. 89-90, p. 178-190, SEP 1 2016. (14/19076-0, 13/18859-8, 14/06330-5, 14/10685-3)

FURQUIM, GUSTAVO; PESSIN, GUSTAVO; FAICAL, BRUNO S.; MENDIONDO, EDUARDO M.; UEYAMA, JO. Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory. NEURAL COMPUTING & APPLICATIONS, v. 27, n. 5, SI, p. 1129-1141, JUL 2016. (12/22550-0, 14/19076-0, 08/58161-1)

GONCALVES, VINICIUS P.; DE ALMEIDA NERIS, VANIA P.; SERAPHINI, SIBELIUS; DIAS, TERESA C. M.; PESSIN, GUSTAVO; JOHNSON, THIENNE; UEYAMA, JO. Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, v. 16, n. 1, p. 129-149, MAR 2017. (12/22550-0, 14/19076-0, 08/05346-4)