Welcome to Vitor Nazário Coelho portal

Scientist engaged in scientific and social causes

Vitor is a researcher and human passionate for the nature and all living creatures.​

I have been trying to release my research as open-source projects, open for external contributions and suggestions.

Some general ideas promoted by him are:

  • Promote the evolution to distributed systems;
  • Promote social and software freedom;

It is time for embedding privacy in our daily life.

Updated CV can be found at: LATTES - CV

About Me

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).

  • 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

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.

  • 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

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

Open Research and ideas

Contributions are always welcome. Fell free to contact me or any other contributor and ask for a read & edit link. Source files, codes, experiments and everything we used in each project is usually open.

Working papers

Highlighted repositories (data and code)

  • Check OptFrame, it contains most part of my research codes as some of its Examples.
    • Hybrid Forecasting Model - HFM
      • Check it inside the OptFrame, as one of its Examples.
    • The neighborhood guided evolution strategies
      • Check it inside the OptFrame, as one of its implemented and reproducible metaheuristic.
  • Operations research techniques for optimization direct marketing campaigns
    • Code repository: https://vncoelho@bitbucket.org/vncoelho/modm.git
  • Power dispataching in mini/microgrid using electric vehicles
    • SPOOLS code repository: https://vncoelho@bitbucket.org/vncoelho/cplexmatheuristic.git
    • MILP model: https://vncoelho@bitbucket.org/vncoelho/milp_energystorageplaning.git
  • EEG time series learning and classification - The development of a new Biometric system and brain signals recognition
    • Code repository is currently the same of the HFM, it available as an example inside the forecasting framework.
  • Combinatorial optimization problems resolution and techniques for tackling them
    • Most part of the codes are available inside the OptFrame.

“If I have seen further, it is by standing on the shoulders of giants.”, Isaac Newton

“We are also the giants. We are living a continuous endless timeline of happiness and learning :)”

“Estamos todos unidos energeticamente. Dissemine amor e paz!”