CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Biomédicas (ICB) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He holds a Bachelors degree in Electrical Engineering with an emphasis on Electronic Systems from the Polytechnic School of the University of São Paulo (2017) and a Masters degree from the same institution (2019). He earned a PhD in Electrical Engineering at the Polytechnic School of the University of São Paulo, including a visiting period at Imperial College London (United Kingdom), and completed a postdoctoral fellowship at the Institute of Biomedical Sciences of the University of São Paulo, where he worked on mathematical modelling of malaria epidemics. He is currently an Assistant Professor at the School of Electrical and Computer Engineering (FEEC) at Unicamp. His research experience includes Signal Processing, Epidemic Modelling, Bayesian Models, Machine Learning, Dynamic Systems, Compressive Sensing, Nonlinear System Identification, and Acoustic Emission. (Source: Lattes Curriculum)
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Numerous genetic and behavioral factors influence the risk of acquiring malaria. Evidence suggests that certain naturally acquired antibodies are linked to reduced clinical malaria risk in endemic areas. Conversely, specific work activities are known to increase the risk of malaria. In this context, we have demonstrated that components of vivax malaria transmission dynamics in the Amazon …
Inferring the fraction of the population infected by an infeccious agent (attack rate) in real time is essential for monitoring emerging infectious diseases and predicting the trajectory of future epidemics. Estimating the attack rate is hindered by the high cost of mass testing, the delay in reporting test results in hospitalised patients, and the large proportion of non-reported asympto…
There is nowadays a deep interest in the development of techniques that allow continuous monitoring of a mechanical structure (structural health monitoring - SHM). The method of acoustic emissions for detection of faults is one of the main techniques used for SHM. The method has great sensitivity, but there is room for improvement of the algorithms for detection of faults, for estimatio…
(Only some records are available in English at this moment)
The effective reproduction number (Rt) is a time-varying parameter used to monitor the evolution of an epidemic which can be inferred using serial interval and incidence data. The SARS-CoV-2 epidemic in Brazil was driven by multiple co-circulating lineages, which may present different serial interval distributions. Despite that, Rt is usually calculated using a fixed serial interval estim…
| 4 | Completed scholarships in Brazil |
| 1 | Completed scholarships abroad |
| 5 | All Scholarships |
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