Vitor Nazário Coelho Homepage

Engineering and Computer Science Researcher engaged in scientific, industrial and socials causes, contributor of open-source and industrial projects.

Short-Bio

Technician in Electronic Instrumentation and Process Control by the Instituto Federal de Minas Gerais with internship at the mining center of Alegria, working for the VALE S.A. Bachelor’s degree in Control Engineering and Automation by the Universidade Federal de Ouro Preto (UFOP) with sandwich period, funded by the Sciences without Borders program, at Universat Pompeu Fabra (Barcelona / Spain). Doctor in Electrical Engineering, in the field of Computational Intelligence, by the Pós-Graduação em Engenharia Elétrica (PPGEE) the Universidade Federal de Minas Gerais (UFMG), finishing his PhD in 2 years, with 25 years old, without attending Master studies. During the PhD, Vitor did an exchange period at the University of Sheffield (England), in partnership with the Rolls Royce Technology Center in Control and Systems Engineering, and at ORT Braude College of Engineering (Israel), as a Marie Curie researcher for the European Commission as part of the Seventh Framework Program (FP7). Thesis awarded as the best one in the Engineering area in the year of 2016 of UFMG. Between 2016 and 2018, he was a Post-Doctorate researcher in partnership with the Universidade Federal Fluminense, supported by the outstanding program PDR-10/FAPERJ program. Currently, he acts as autonomous developer, researcher, entrepreneur and investor.

Vitor has been focusing in researches directed to decentralized environments and blockchain technology. Active developer and collaborator of open-source projects (vide https://github.com/vncoelho). Among them, contributing to the large-scale ecosystem of the Neo Blockchain, being the main researcher and developer in charge of the dBFT 2.0 consensus of Neo Blockchain.

The main area he has been acting is computational intelligence and mathematics, focusing on the following research topics: mono and multi-objective combinatorial optimization, metaheuristics, robotics and automation, trajectory search algorithms, evolutionary computation, evolutionary strategies, multi-agent systems, time series forecasting, evolution strategies, mathematical programming, multi-criteria decision making, mining planning, operations research, smart and digital cities, optimization techniques applied to smart-microgrids, renewable energy integration with mini/microgrid systems, smart grids autonomy, energy storage management, vehicle-to-grid (V2G) integration technologies, forecasting of renewable energy consumption and generation, blockchain, the use of cryptocurrencies and distributed ledgers, machine learning, scheduling/timetabling, vehicle routing, digital marketing, adaptive and self-calibrated PID controllers, and development of computational frameworks. In addition, he also has interests in the area of neuroscience, quantum physics, analysis of electromagnetic spectra, astronomy, simulation of cellular organisms and their interaction with viruses and pathologies.

Co-chair and co-founder of the https://neoresearch.io, a place for scientific contributions for the Neo Ecosystem. Co-founder of the portal https://creating.city, an environment for academic and industrial discussions surrounding the cities of the future. One of the idealizes of the Grupo da Causa Humana (https://causahumana.org), a group of studies with researchers from distinct areas, focusing on a multidisciplinary analyses of problems faced by society.

Collaborator of the Laboratory of Computational Intelligence (LabIC/LAGO of UFF) and Machine Intelligence and Data Science (MINDS of UFMG) laboratory. Between 2009-2013, he collaborated with the Grupo de Otimização e Algoritmos (GOAL/UFOP). Promotes the potential optimization techniques in the resolution of problems dealt by medium and large companies. In this sense, he worked in the search of solutions for logistics problem for multinational companies, such as INDITEX (fruit of a partnership with the researcher Helena Ramalhinho Lourenço and Daniel Serra, UPF).

Updated CV can be found at: LATTES - CV

About Me - Detailed Curriculum

Researcher engaged in social, scientific causes, supporting social and software freedom.

Post-Doctorate in progress, in partnership with the Universidade Federal Fluminense, supported by the PDR-10/FAPERJ program.
Doctor in Electrical Engineering, in the field of Computational Intelligence, by the Pós-Graduação em Engenharia Elétrica (PPGEE) the Universidade Federal de Minas Gerais (UFMG), with an exchange period at the University of Sheffield (England), in partnership with the Rolls Royce Technology Center in Control and Systems Engineering, and at ORT Braude College of Engineering (Israel), as a Marie Curie researcher for the European Commission as part of the Seventh Framework Program.
Bachelor’s degree in Control Engineering and Automation by the Universidade Federal de Ouro Preto (UFOP) with sandwich period, funded by the Sciences without Borders program, at Universat Pompeu Fabra (Barcelona / Spain).
Technician in Electronic Instrumentation and Process Control by the Instituto Federal de Minas Gerais with internship at the mining area of Alegria, working for the VALE S. A.

The main area I have been acting is artificial intelligence, focusing on the following research topics: mono and multi-objective combinatorial optimization, metaheuristics, trajectory search algorithms, evolutionary computation, evolutionary strategies, mathematical programming, optimization techniques applied to smart-microgrids, Renewable energy integration with mini/microgrid systems, autonomy of intelligent networks, energy storage management, vehicle-to-grid (V2G) integration technologies, mining planning, multi-agent systems, time series forecasting methods, machine learning, scheduling/timetabling, vehicle routing, operational and marketing research, adaptive and self-calibrated PID controllers, and development of computational frameworks.

Participant of the Grupo de Otimização e Algoritmos (GOAL/UFOP), LAGO/UFF, Machine Intelligence and Data Science (MINDS/UFMG). Member of the Instituto de Pesquisa e Desenvolvimento de Tecnologias (IPDT), Ouro Preto/MG, Brazil.

One of the idealizerers of the Grupo da Causa Humana (GCH), Ouro Preto/MG, Brazil, Creating.City and NeoResearch Community.

I have been effectively working and researching on solving combinatorial optimization problems for real-world applications, spreading this knowledge and software to small, medium and large size global companies (such as INDITEX).

Check my LATTES - CV, usually it is the one that is most updated, with current projects and conference papers. While most parts are in Portuguese :) I believe you gonna have an interesting journey throughout my mother language, which, is, by the way, a beautiful language (such as the others ones).

EDUCATION

2016/2018 Post-Doc researcher in partnership with the Institute of Computer Science at Universidade Federal Fluminense (Brazil), under the scope of FAPERJ Pós-Doutorado Nota 10.
2013/2016 Ph.D. in Electrical Engineering at Universidade Federal de Minas Gerais (Brazil) with sandwich at University of Sheffield (England) and ORT Braude College (Israel).
2009/2013 Five-years Bachelor in Control and Automation Engineering at Universidade Federal de Ouro Preto (Brazil) with sandwich period at Universitat Pompeu Fabra (Spain).
2006/2009 Technical in Electronic Instrumentation and High School at Instituto Federal de Minas Gerais, Brazil

RESEARCH INTERESTS

Operational Research, Smart Grid, Smart Cities, Renewable Energy Integration, Mini/Microgrid systems, Combinatorial Optimization Problems, Discrete and Combinatorial Mathematics, Metaheuristics, Mathematical Programming Models, Matheuristics, Forecasting Models, Fuzzy Logic, Deep Learning, Applied Probability and Statistics, Biometric systems and PID control.

I am also interested in neuroscience, applied magnetism, quantum physics, simulation of cellular organisms and their interaction with viruses and pathogens, and everything that involve living creatures, love, equality and a better life quality for citizens and society.

REFEREE FOR

Applied Soft Computing~
Renewable & Sustainable Energy Reviews~
Renewable Energy~
Applied Energy~
European Journal of Operational Research
Energy Conversion and Management
Sustainable Cities and Society
Computers & Operations Research
The Open Cybernetics and Systemics Journal
The Open Fuels & Energy Science Journal
The Open Mechanical Engineering Journal
Recent Advances in Electrical & Electronic Engineering
Scientia Iranica
Recent Advances in Electrical & Electronic Engineering
Management of Environmental Quality
IET Generation, Transmission & Distribution
Transportation Research. Part E, Logistics and Transportation Review
The Open Electrical & Electronic Engineering Journal

~ Recognized as an outstanding reviewer in 2016

SCHORLARSHIPS, FELLOWSHIPS AND AWARDS

2016 Visiting researcher, during four months, at the Department of Computer Science at Universidade Federal de Ouro Preto.
2016 Travel grant to the REM 2016: Renewable Energy integration with Mini/Microgrid, CAPES/PPGEE/UFMG.
2015 Marie Curie FP7 Program visiting researcher, as PhD student, in University of Sheffield (England) and ORT Braude College (Israel)
2014 Travel grant to the 2014 World Congress on Computational Intelligence, CAPES/PPGEE/UFMG.
2013/2016 PhD scholarship from CAPES, Brazil
2012 Travel grant from studying abroad, given by the Brazilian Science Without Borders Program
2011/2009 Honorable Mentions granted in the XIX and XVII Scientific Initiation Seminar of UFOP
2010 Best work in the XVIII Scientific Initiation Seminar of UFOP
2009/2013 Scientific Initiation grants from CNPQ/FAPEMIG, Brazil
2008 Medalist in the 4ª Brazilian Olympics of Mathematics of Public Schools, Ministry of Education, Brazil
2005 and 2007 Honorable Mention in the 1ª and 3ª Brazilian Olympics of Mathematics of Public Schools, Ministry of Education, Brazil

PROGRAMM COMMITTEE

Metaheuristics International Conference and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (Organization team, 2017)
5th International Conference on Variable Neighborhood Search (Conference Chair, 2017)

PROJECTS AND PARTNERSHIPS

Recommended portals

Ongoing projects

2016 Forecasting models for household dissagregated energy forecasting in mini/microgrid scenarios, CNPq/PIBIT, Universidade Federal de Ouro Preto.
2016 Automatic music generating using a hybrid forecasting model, CNPq/PIBIT, Universidade Federal de Ouro Preto.
2016 Study of heuristic techniques for job-shop scheduling problems, CNPq/PIBIC and UFOP/PIP, Universidade Federal de Ouro Preto.
2016 OESIA/INDITEX, Large scale warhouse optimization problem, Universitat Pompeu Fabra.
2014 Development of a biometric system using brain and electromagnetic signals. Innovation project with development of a low-cost sensor.
2011 Development of efficient algorithms for combinatorial optimization problems, within CAPES 306458/2010-1 and 306694/2013-1 (Prof. Marcone Jamilson Freitas Souza).
2009 Efficient algorithms for solving combinatorial problems, within FAPEMIG CEX 00357/09, 00469/11, 497/13 and 772/15 (Pesquisador Mineiro, Prof. Marcone Jamilson Freitas Souza).

Concluded

2014/2015 PROBIC/FAPEMIG – A hybrid metaheuristic based in logic fuzzy concepts applied for wind power forecasting
2013/2014 PIBIT/CNPq – A hybrid algorithm for machine scheduling
2013/2014 PIP/UFOP – DiA general study of direct marketing campaigns and operations research
2013/2013 PROBIC/FAPEMIG – A genetic algorithm for the vehicle routing with heterogeneous fleets
2012/2016 PIRSES-GA-2011-295152 – New Horizons for Multi Criteria Decision Making
2011/2013 PROBIC/FAPEMIG – A multi-objective approach for open-pit-mining operational planing problem
2011/2012 CNPq Universal 2010/2012, 482765/2010-0 – Efficient algorithms for solving combinatorial problems of mining and transportation
2009/2011 PROBIC/FAPEMIG – New strategies for efficient resolution for the open-pit-mining operational planning problem

Some general ideas that have been spread are

Promote the evolution to distributed systems by decentralizing focusing on reducing costs;
Promote social and software freedom;
Embed privacy into devices used in our daily life;
Resolution of Combinatorial Optimization problems in Smart Cities and the Industry.