received his Undergraduate Degree in Electrical Engineering from the University of Campinas (Unicamp) in 1991, concluded his Master Thesis in 1993 and obtained his Dr.E.E. degree in 1996, both in Automation, from the Electrical Engineering Graduate Program of Unicamp. He is Full Professor (MS-6) at Unicamp since January 2015. His undergraduate teaching activities involves Control Systems and Computer Engineering. He is an expert in the areas of Electrical Engineering and Computer Engineering, is the header of the Laboratory of Bioinformatics and Bioinspired Computing (LBiC), and undertakes research and academic extension activities in Computational Intelligence, Bioinspired Computing, Autonomous Robotics, Bioinformatics, Multivariate Data Analysis, Machine Learning, and Continuous and Discrete Optimization. He is a Senior Member of IEEE, associated editor of the International Journal of Natural Computing Research (IGI), reviewer of high-impact journals, ad hoc advisor of institutions for the financial support of research, and member of the program committee of annual conferences in the areas of Intelligent Systems, Electrical and Computer Engineering. Aiming at providing support for research and development projects in the context of academic extension, the ones capable of promoting the diffusion of academic knowledge and of transforming innovation into products and services, he develops cooperation agreements and partnerships with companies in the areas of information technology and knowledge management. He is Principal Investigator of the Fapesp Projects: (1) SMARTNESS Engineering Research Center (process no. 2021/00199-8); (2) Viva Bem Engineering Research Center (process no. 2024/08371-2). He has published 91 full papers in national and international journals, more than 250 full papers in the annals of national and international conferences (part of them as book chapters), and has concluded the supervision of 44 Master Theses and 18 Doctoral Theses. (Source: Lattes Curriculum)
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The SMARTNESS Engineering Research Center (ERC) targets developing cutting-edge advances in communication networks and digital application services scoped in strategic areas where significant scientific and technological impacts can be achieved towards 2030, in collaboration with the cloud and networking research communities. As 5G releases roll-out and the vision on 6G is being developed…
The central biological questions of our RIDC is the investigation of basic mechanisms that lead to epilepsy and stroke and the injury mechanisms that follow the disease onset and progression, and are related to prevention, treatment and rehabilitation. Our goals are to develop new methods and techniques to improve the understanding of mechanisms of damage, plasticity and repair in epileps…
The goal of the proposed project is to enable collaboration between the involved research groups in order to develop i) intelligent communication technologies inspired by modern machine learning (ML) tools, and ii) more efficient and robust learning techniques by exploiting ideas from coding and information theory (IT). The involved researchers have complementary expertise and recent rese…
Abnormal climate events, such as precipitation extremes, are becoming more frequent, widespread, and intense, imposing huge challenges to society, even in urban or rural areas. Therefore, we are facing an increasing demand for high-performance information forecasting services. In fact, the effectiveness of economical and safety policies is directly promoted by our ability to manage the ri…
The present research proposal aims the investigation, development and evaluation of advanced signal processing techniques, the main applications of which are concerned with the modern telecommunications systems. Such techniques are particularly related with the problem of signal, or signals, recovery after the typical distortions and interference provided by non-ideal transmission channel…
(Only some records are available in English at this moment)
Drones collaborating with trucks to perform varied tasks characterize the truck-drone routing problem (TDRP). In the TDRP with multiple trucks, also referred to as the vehicle routing problem with drones (VRPD), there is a fleet of trucks each of which carries a certain number of drones. The TDRP is interpreted here as a multi-objective optimization problem and is going to be formulated a…
The project will develop real-time solutions for managing the movements of multiple aircrafts under dynamic and uncertain real-world conditions, thus contributing to the conception of collaborative air-traffic management, an important step toward autonomous airports. Among the desirable features that a search strategy should exhibit to deal with autonomous functionalities for unmanned air…
The widespread implementation of wind farms integrated to electric power systems all over the world, specially in Brazil, makes the ability to estimate the future power production through wind speed forecasting very important. Once there are historical time series of wind speed intensity associated to multiple wind farms, the multiple tasks of time series prediction should be solved simul…
Abnormal climate events, such as precipitation extremes, are becoming more frequent, widespread, and intense, imposing huge challenges to society, even in urban or rural areas. Therefore, we are facing an increasing demand for high-performance information forecasting services. In fact, the effectiveness of economical and safety policies is directly promoted by our ability to manage the ri…
Biclustering has proven to be a powerful data analysis technique, with great success in various application domains. Recently, in the doctorate of the candidate for the scholarship, we proposed a family of biclustering algorithms endowed with unique properties and features, which have not been properly explored in application areas of great potential of contribution. This family has algor…
(Only some records are available in English at this moment)
Biclustering is a powerful data analysis technique that allows simultaneous clustering of both rows and columns of a data matrix. Since her PhD, Dr. Rosana Veroneze works on the development of enumerative biclustering algorithms with unique properties and functionalities that can be exploited in areas of high potential of contribution. To continue the advances in the biclustering area and…
| 2 / 2 | Ongoing research grants |
| 6 / 5 | Completed research grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 21 / 14 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 32 / 24 | All research grants and scholarships |
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CV Lattes
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