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Dr. Brenno Castrillon Menezes
Assistant Professor
Dr. Brenno Castrillon Menezes
Assistant Professor
Educational Qualifications
DSc in Process Engineering
MSc in Process Engineering
Entity
College of Science and Engineering
Divison
Engineering Management & Decision Sciences
Biography
Dr. Brenno C. Menezes holds a DSc and an MSc in Process Engineering from Federal University of Rio de Janeiro, Brazil. He has more than fifteen years of international experience as a process engineer and researcher in Smart Manufacturing and Engineering Management.
Dr. Menezes has published many papers in top academic international journals, such as Computers and Chemical Engineering, Industrial Engineering Chemistry Research, and Computer Aided Process Engineering, among many others. His current fields of research include the areas of simulation and optimization, LNG value chain, precision agriculture, and machine learning.
DSc in Process Engineering
Federal University of Rio de Janeiro
2014
MSc in Process Engineering
Federal University of Rio de Janeiro
2008
BSc in Chemical Engineering
Federal University of Rio de Janeiro
2004
- Simulation and Optimization
- LNG Value Chain
- Precision Agriculture
- Machine Learning
Assistant Professor
College of Science and Engineering; Hamad Bin Khalifa University (Qatar).
2019 - Present
Young Researcher
Center for Information, Automation and Mobility; Institute for Technological Research (Brazil)
2018 - 2019
Postdoctoral Fellow
Department of Chemical Engineering; University of São Paulo (Brazil)
2016 - 2017
Postdoctoral Fellow
Department of Chemical Engineering; Carnegie Mellon University (USA)
2015 - 2016
Process Engineer
Refining Optimization; PETROBRAS PETROLEO BRASILEIRO S.A. (Brazil)
2006 - 2015
- Cutpoint temperature surrogate modeling for distillation yields and properties. Industrial and Engineering Chemistry Research, 59, 18616−18628.
- Industrial software for computer aided process engineering (CAPE) modeling and programming skills development. Computer Aided Process Engineering, 48, 2035-2040.
- Industrial modeling and programming language (IMPL) for off- and on-line optimization and estimation applications. In: Fathi, M., Khakifirooz, M., Pardalos, P. (eds) Optimization in Large Scale Problems. Springer Optimization and Its Applications, 152, 75-96.
- Predictive, prescriptive, and detective analytics for smart manufacturing in the information age. IFAC Papers Online, 52 (1), 568-573.
2010, Medium Distillates Optimization, PETROBRAS PETROLEO BRASILEIRO S.A. (Rio de Janeiro, Brazil)