Diego Carvalho

Diego Carvalho is a tenured professor at the Department of Production Engineering (DEPRO) of the Federal Centre for Technological Education of Rio de Janeiro (CEFET/RJ). He got his undergraduate degree in Production Engineering (POLI of UFRJ) and holds a Doctor’s Degree in Systems Engineering and Computer Science (PESC/COPPE). Besides, he is the head of the Graduate Programme of Production and Systems Engineering of CEFET/RJ.

He worked at the DELPHI Experiment (CERN) as a computer scientist expert in the Complex Distributed Real-Time Data Acquisition & Control Systems and acted as a project manager in several object-oriented software development projects sponsored by the National Council for Scientific and Technological Development (CNPq/Brazil).

He was amongst the leading researchers of grid computing projects from 2005 to 2011, when he participated in several e-Science projects funded by European Commission, including EELA, EELA-2, and GISELA. Those e-Science projects provided computing resources to researchers from Europe and Latin America with the support of the European Grid Infrastructure (EGI). He also contributed on porting applications to the grid infrastructure and developed the Industry@Grid application, an industrial grid computing application that eases the product mix problem with stochastic optimization.

In his home institution, he worked in diverse administrative positions. He was the head of the Department of Production Engineering (DEPRO) and coordinated the undergraduate course in Production Engineering, and he has been the pro-rector of budget and management in CEFET-RJ for three years.

His professional experience covers diverse areas such as object-oriented design, distributed systems, network engineering, parallel architectures, grid technologies, data mining and big data. He is a member of IEEE since 2000 and a member of IEEE Big Data.

Research topics for research candidates:

  • Big Data
  • Data mining
  • Machine learning
  • Urban mobility and Urban logistics
  • Grid Computing
  • Industry 4.0