Dr Hermes Senger is an associate professor at the Department of Computing at the Federal University of São Carlos (UFSCar). He obtained a B.Sc. in Computer Science from UNESP (1989), a M.Sc. degree (1996) and PhD degree (2002) in computer engineering from the University of São Paulo. His research expertise includes high-performance computing, code optimization, parallel and distributed computing, computer infrastructures (including clusters, grids, clouds, and edge computing), and artificial intelligence applications. He has collaborated in research and development projects lead by the Research Centre for Greenhouse Gas Innovation (RCGI) at USP since 2018. (Source: Lattes Curriculum)
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Edge Computing (EC) is an enabling paradigm for developing technologies like the Internet of Things (IoT), 5G, online gaming, augmented reality, vehicle-to-vehicle communications, smart grids, and real-time video analytics, among others. In these scenarios, a remarkable trend is the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML) techniques to execute tasks l…
In this project we join efforts and expertise from several Computer Science re-searchers on High Performance Computing (HPC). Our main goal is to promote high impact research on two areas of HPC: resource management and on new computer architectures. Each area is divided in various topics. Each topic is lead by an experienced researcher and it will be tackled with the help of collaborator…
Scientific high-performance computing has supported numerous advances in several areas ofhuman knowledge in the last two decades.During this period, most organizations including government bodies, research institutions and companies have intensified the production and analysis of large data volumes on an unprecedented way. The volume and variety of data have increasedmuch faster than the …
(Only some records are available in English at this moment)
Algorithms for numerically solving partial differential equations (PDEs) are used in different application domains to approximate the physics of interest. In the context of seismic applications, the process has a high computational cost as they constitute the computational core of inverse problems involving computation in the order of Exascale. The demand for high performance implies that…
(Only some records are available in English at this moment)
Seismic imaging techniques are extensively used in geophysical exploration. For example, the full-waveform inversion (FWI) and the reverse time migration (RTM) are essential applications for the identification and placement of hydrocarbon reservoirs and the characterization of the subsurface material like porosity, viscosity, acoustic velocity, localization, dimensions, and others. Such a…
| 2 / 2 | Ongoing grants |
| 12 / 10 | Completed research grants |
| 9 / 4 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 24 / 17 | All research grants and scholarships |
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CV Lattes
ORCID