He holds a doctorate (2013), a master's degree (2009) and a degree in Computer Science from the Federal University of São Carlos (2007). He is currently an Assistant Professor in Department of Statistics, Applied Mathematics and Computation (DEMAC) at State University of São Paulo (UNESP), Campus of Rio Claro. He was coordinator of the Undergraduate Program in Computer Science at UNESP of Rio Claro (2015-2018 and 2020-2022). He was a Visiting Researcher in Department of Radiology at Perelman School of Medicine, University of Pennsylvania, Philadelphia (USA) from March 2018 to February 2019. He is accredited with the Multicampus Graduate Program in Computer Science at UNESP. He has experience in the area of Computer Science, with emphasis on Pattern Recognition, Digital Image Processing, Machine Learning, Computer Vision and Neural Networks, working mainly in the following subjects: Image Denoising, Deep Learning, Medical Imaging, Combination of Multiple Classifiers. He is also interested in the development of extensionist, interdisciplinary and innovative solutions based on technical-scientific knowledge in his research areas. (Source: Lattes Curriculum)
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Artificial intelligence applied to machine learning can be used to optimize the evaluation of consumer eggs. The objective of this project will be to predict egg quality based on attributes related to eggshell and freshness using measurements obtained by candling, depth sensing and computed tomography, associated with computer vision and machine learning techniques. A total of 1,000 white…
In general, in the several modalities of imaging systems, researchers are very much interested in reducing noise of images (that depends on the modality), especially keeping structural details and resolution. Still, several of these modalities as Breast Tomosynthesis and Computed Tomography (CT) use the dangerous ionizing radiation for imaging. Thus, researchers in this area follow the AL…
Tracheal collapse is one of the main problems that plague dogs, especially those of smaller size and older age, causing symptoms that make life arduous for the animal and, in the worst cases, can lead to death. Therefore, the need for a quick and practical diagnosis of this problem in the animal as soon as it arrives at the clinic becomes fundamental. However, current diagnostic methods t…
As one of the main routes for the mobility of people and goods around the world, paved streets and roads must undergo regular maintenance in order to have suitable conditions of use. However, with extensive paved meshes and budget constraints, the optimization of these resources is essential. In this way, it is necessary a frequent monitoring of these paved roads to identify priority site…
Despite being based on the principle of Computed Tomography (CT), Digital Breast Tomosynthesis (DBT) consists of a recent imaging modality for analysis of breast images, especially for breast cancer diagnostic purposes. However, to acquire an image with this equipment, the use of dangerous ionizing radiation is needed. Nevertheless, lowering the dose of radiation implies in raising the no…
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Digital Breast Tomosynthesis (DBT), also known as 3-D Mammography, consists of a imaging system for performing mammographic exams, especially for early diagnosis of breast cancer. This imaging system was recently proposed, based on the principle of Computed Tomography (CT), but with the acquisition restricted to a small angular range (arc). Due to use dangerous ionizing radiation, researc…
| 1 / 1 | Ongoing research grants |
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| 3 / 3 | Ongoing scholarships in Brazil |
| 7 / 7 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 14 / 14 | All research grants and scholarships |
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