Computational Science and Engineering
Introduction
The demand for computational solutions to complex engineering problems has grown exponentially in recent years. New technologies have been developed based on the evolution of high-performance computing and the ubiquity of computing resources. In this scenario, a solid education in computing is increasingly essential for the modern engineer.
Computational Science and Engineering (CSE) is a series of methods, knowledge, and techniques that involve using advanced computational resources to analyze relevant problems in engineering and general sciences and for society. CSE allows for studying complex systems and natural phenomena that would otherwise be very costly, or rather even impossible, through direct experimentation.
In recent years, CSE has become increasingly vital for basic and applied academic and industrial research, be it for new findings, resource optimization, decision-making support, and specialized human resources training. CSE is backed up by theoretical and experimental results, using computational artifacts to answer questions that neither theory nor experiments can solve alone. It allows for developing multi-sized specific algorithms and software systems for engineers and scientists across many fields of study. CSE sits at the heart of the digital revolution, driven by recent advancements in high-performance computing and the exponential increase in data availability. It has established itself as a way of generating new knowledge and innovation in all areas of engineering, science, and technology and for our society.
Lines of Research
Computational Intelligence
This line of research aims to develop new algorithms for the oil and natural gas sector, involving data visualization, collection, storage, and processing in a high-performance environment. It deals mainly with models that can be useful for knowledge extraction and explores intelligent algorithms and systems such as natural language processing and computer vision. Its research projects and its results aim to promote digital transformation in the oil and gas sector.
Control, Automation, and Robotics
This line of research aims to study stability, convergence, and robustness in nonlinear control systems for electric machines, robots, vehicles, and industrial processes. Its research projects aim at developing new algorithms for fault detection and diagnosis in industrial processes using artificial intelligence and neural networks, advanced control of robotic systems, industrial processes, and navigation and control of underwater and terrestrial robots; computer vision-based control, contact control and force control. Applications include electric power systems, load flow problems, state estimation, and performance assessment of parallel, synchronous, asynchronous, combined, and genetic algorithms for solving large systems of equations.
Computational Geophysics and Petrophysics
The purpose of this line of research is to improve the quality of seismic imaging beneath these structures using advanced high-performance computing (HPC) techniques and to search for innovations in computational geophysics applied to seismic imaging. The research projects involve studying new techniques for exploring complex geological structures, such as layers with high dip, high impedance contrast, and high lateral variations in velocity, which require techniques that enable an increased spatial resolution. This line of research addresses modern techniques for numerical modeling of flow in porous media, allowing for simulating reservoir behavior. A critical step for this type of modeling is determining phase geometry and assessing the properties of each phase.
Computational Engineering
This line of research aims at real-time aggregation and processing of large-scale data amounts from various repositories and/or plugged sensors that continuously capture structured and unstructured information in various activities in the oil and gas industry. This line of research also defines itself by the development and implementation of simulators using discrete methods, such as finite-element, finite-difference, and discrete element methods, for the numerical solution of general engineering problems and, more specifically, for the oil and gas industry.
Reliability, Integrity, and Maintenance
This line of research aims at developing methods for quantifying uncertainty and reliability in mechanical systems; analysis and design with smart materials; structural integrity and mechanical systems: design and optimization; application of computational intelligence and digital twins in the dynamic analysis of mechanical systems and structures.
Modeling, Simulation, Control, and Process Optimization
This line of research focuses on three fundamental areas: analytical and numerical approaches to systems and mathematical models and databases for the development of digital twins; development and numerical implementation of control and optimization methods; validation of mathematical models and testing of control and optimization strategies in laboratory and industrial environments.
| Participating Programs | Representatives |
| Civil Engineering (PEC) | Prof. Alexandre G. Evsukoff |
| Systems and Computer Engineering (PESC) | Prof. Guilherme Horta Travassos |
| Electrical Engineering (PEE) | Prof. Fernando Lizarralde |
| Mechanical Engineering (PEM) | Prof. Fernando Alves Rochinha |
| Chemical Engineering Program (PEQ) | Prof. Argimiro Resende Secchi |
Coordinator of the Engineering and Computational Science Interdisciplinary Area: Prof. Alvaro Luiz Gayoso de Azeredo Coutinho – Civil Engineering Program (alvaro@nacad.ufrj.br)
Vice Coordinator: Prof. Nelson F. F. Ebecken (nelson@ntt.ufrj.br)
Public Notices
Public Notice for the 2022/4 PRH-ANP Digital Technologies screening process for master’s and doctoral scholarships in the Oil and Gas Sector
For this public notice, we offer 1 (one) doctoral scholarship and 1 (one) master’s scholarship to researchers working in the following lines of research:
Participating Coppe/UFRJ programs:
Civil Engineering Program (Computational Geophysics and Petrophysics)
Civil Engineering Program (Petroleum Systems)
Systems and Computer Engineering Program (Computational Engineering Applied to the Petroleum Industry)
Electrical Engineering Program (Control, Automation, and Robotics)
Electrical Engineering Program / Civil Engineering Program (Computational Intelligence)
Mechanical Engineering Program (Digital Twins: reliability, integrity, and maintenance)
Chemical Engineering Program (Modeling, Simulation, Control, and Process Optimization)
Public Notice for the 2022/4 screening process. Documents must be submitted by October 20, 2022.
Notices for the 2022/2 PRH-ANP 4.1 Digital Technologies screening process for the Oil, Gas, and Biofuels Sector
In this public notice, we offer two (2) doctoral scholarships to researchers working in the following lines of research:
Participating Coppe/UFRJ programs:
Civil Engineering Program (Computational Geophysics and Petrophysics)
Civil Engineering Program (Petroleum Systems)
Systems and Computer Engineering Program (Computational Engineering Applied to the Petroleum Industry)
Electrical Engineering Program (Control, Automation, and Robotics)
Electrical Engineering Program / Civil Engineering Program (Computational Intelligence)
Mechanical Engineering Program (Digital Twins: reliability, integrity, and maintenance)
Chemical Engineering Program (Modeling, Simulation, Control, and Process Optimization)
Public notice for the 2022/2 screening process. Documents must be submitted by June 30, 2022.
2022/2 PRH-ANP 4.1 screening process results.
FAPERJ – E_10/2020 – ARTIFICIAL INTELLIGENCE PUBLIC NOTICE – 2020. E-26/290.023/2021
“Center of Excellence in Digital Transformation and Artificial Intelligence of the State of Rio de Janeiro (Hub.Rio): Thematic Network on Renewable Energy and Climate Change”. Screening Process for Postdoctoral (PDR) Scholarship Starting Immediately.
Read the full public notice here.
2022/1 PRH-ANP Digital Technologies screening process for master’s and doctoral scholarships in the Oil and Gas Sector
Click here for the admission list.
FAPERJ – E_10/2020 – PUBLIC NOTICE FOR SCHOLARSHIP IN ARTIFICIAL INTELLIGENCE – 2020. E-26/290.023/2021
“Center of Excellence in Digital Transformation and Artificial Intelligence of the State of Rio de Janeiro (Hub.Rio): Thematic Network on Renewable Energy and Climate Change”
Screening Process for Postdoctoral (PDR) and Technical Qualification and Training (TCT) Scholarships Starting Immediately.
Read the full public notice here.
Public notice for the 2022/1 PRH-ANP Digital Technologies screening process for master’s and doctoral scholarships in the Oil and Gas Sector
For this public notice, we will offer 2 (two) doctoral scholarships and 4 (four) master’s scholarships to researchers working in the following lines of research:
Participating Coppe/UFRJ Programs:
Civil Engineering Program (Computational Geophysics and Petrophysics)
Civil Engineering Program (Petroleum Systems)
Systems and Computer Engineering Program (Computational Engineering Applied to the Petroleum Industry)
Electrical Engineering Program (Control, Automation, and Robotics)
Electrical Engineering Program / Civil Engineering Program (Computational Intelligence)
Mechanical Engineering Program (Digital Twins: reliability, integrity, and maintenance)
Chemical Engineering Program (Modeling, Simulation, Control, and Process Optimization)
Public notice of the 2022/1 screening process. Documents must be submitted by May 8, 2022.
Public notice for the 2021/4 PRH-ANP 4.1 Digital Technologies screening process for postdoctoral scholarships in the Oil and Gas Sector
For this public notice, we will offer 1 (one) postdoctoral scholarship to researchers working in the following lines of research:
Participating Coppe/UFRJ Programs:
Civil Engineering Program (Computational Geophysics and Petrophysics)
Civil Engineering Program (Petroleum Systems)
Systems and Computer Engineering Program (Computational Engineering Applied to the Petroleum Industry)
Electrical Engineering Program (Control, Automation, and Robotics)
Electrical Engineering Program / Civil Engineering Program (Computational Intelligence)
Mechanical Engineering Program (Digital Twins: reliability, integrity, and maintenance)
Chemical Engineering Program (Modeling, Simulation, Control, and Process Optimization)
2021.4 screening process for the postdoctoral scholarships
2021-4 PRH 4.1 PD screening process results
Public notice for the 2021/2 PRH-ANP 4.1 Digital Technologies screening process for the Oil, Gas, and Biofuels Sector
For this public notice, we will offer master’s and undergraduate scholarships to students of the following Programs/Courses:
Participating Coppe/UFRJ Programs:
Civil Engineering Program
Systems and Computer Engineering Program
Electrical Engineering Program
Mechanical Engineering Program
Chemical Engineering Program
Participating Poli/UFRJ Undergraduate Courses:
Petroleum Engineering
Control and Automation Engineering
Computer and Information Engineering
Electronic and Computer Engineering
Students who can apply are master’s students admitted in the 2021/1 screening process and 3rd-year (24 months) undergraduate students who have 24 months until graduation.
2021/2 screening process for undergraduate and master’s scholarships
Links
Subjects
Faculty
Interdepartmental Center of digital technologies for the Oil and Gas sector – COPPE DIGITAL HUB
Candidate Profile
Candidates must have a degree in exact sciences (engineering or related areas).
A testimonial from a student of the Interdisciplinary Area: