bachelor's at Engenharia de Eletricidade from Universidade de São Paulo (1989), master's at Electric Engineering from Universidade de São Paulo (1992) and doctorate at Electrical Engineering from University of California, Los Angeles (1999). Has experience in Electric Engineering, acting on the following subjects: filtros adaptativos, telecomunicações, equalização de canal, estimação linear and lms. (Source: Lattes Curriculum)
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Communication networks of interconnected devices lie at the core of many key future technologies such as distributed control systems forautonomous vehicles, sensor networks for structural health monitoring and for smart cities. In addition to reliability, all these applications come with strict requirements in terms of: energyefficiency, security, latency and self-optimization capabilitie…
This proposal is concerned with the study and development of new algorithms for multi-channel signal processing, particularly for estimation of acoustic images with microphone arrays, and estimation and classification of faults in mechanical structures using acoustic emissions. The focus is on low computational cost algorithms, for use in real time.We intend to continue developing methods…
Compressive sensing (CS) and sparsity-aware techniques have demonstrated their effectiveness in the last few years for solving challenging signal processing problems in various applications in wireless Communications, electronic systems and sensor array; (AU)
(Only some records are available in English at this moment)
The COVID-19 pandemic increased significantly the interest in mathematical models for epidemiology. In addition, several difficulties with respect to the identification of model parameters and with respect to the capability of these models to predict possible consequences of different sanitary measures have been highlighted. This work proposes the implementation of deterministic and stoch…
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…
The post-doctoral researcher will join the ELIOT team to contribute in the study of signal processing techniques for beamforming and coding schemes in IoT communication systems, as described in the full ELIOT research plans submitted to Fapesp. In particular, the signal processing algorithms for beamforming that will be developed will contemplate the necessities of IoT networks and transm…
(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…
| 19 / 14 | Completed research grants |
| 21 / 16 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 41 / 31 | All research grants and scholarships |
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CV Lattes
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