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          <!-- *********************** About ************************* -->

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      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="about">
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          <h1 class="mb-0">Marcos
            <span class="text-primary">Vinícius</span>
          </h1>
          <div class="subheading mb-5"> ADHEMAR DE BARROS AVENUE · Ondina · Salvador · BA · 40170110  ·
            <a href="mailto:marcosvsf@ufba.br">marcosvsf@ufba.br</a>
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          <p class="lead mb-5">
            <!-- Data Science at <a href="https://neodados.com/novosite.html">Neodados</a>. -->
            Ph.D. student in computer science at Federal University of Bahia (of portuguese, Universidade Federal da Bahia (UFBA)), in Brazil. 
            I received in 2020, my M.Sc. degree in computer science at the UFBA.
            Graduated in Bachelor of Information Systems from the Federal University of Piauí in 2017.
            He has experience in Computer Science, with emphasis on Image Processing, Time Series, Machine Learning and Deep Learning, 
            Computer Aided Detection Systems and Fuzzy Logic.
            With a solid academic background, Marcos has stood out for his innovative research, reflected in publications in high-impact journals 
            and conferences in the field of computer science. Additionally, his collaborative experience with industry,
             accumulated over more than 4 years, has been a valuable source of learning and practical application.
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      <!-- *********************** EDUCAÇÂO ************************* -->

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          <h2 class="mb-5">Education</h2>

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              <h3 class="mb-0">Federal university of Bahia</h3>
              <div class="subheading mb-3"><a href="http://wiki.dcc.ufba.br/PGComp/">Postgraduate Program in Computer Science</a></div>
              <p> Ph.D. student in the area of Artificial Intelligence</p>
              <!--p>GPA: 3.56</p-->
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            <div class="resume-date text-md-right">
              <span class="text-primary"> 2020.2 - Current </span>
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              <h3 class="mb-0">Federal university of Bahia</h3>
              <div class="subheading mb-3"><a href="http://wiki.dcc.ufba.br/PGComp/">Postgraduate Program in Computer Science</a></div>
              <p> Master in the area of Artificial Intelligence</p>
              <!--p>GPA: 3.56</p-->
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            <div class="resume-date text-md-right">
              <span class="text-primary"> April 2018.1 - June 2020.1 </span>
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          <div class="resume-item d-flex flex-column flex-md-row mb-5">
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              <h3 class="mb-0">FEDERAL UNIVERSITY OF PIAUI</h3>
              <div class="subheading mb-3">Graduate in Information Systems</div>
              <div> Automatic methodology for diagnosis of glaucoma using the Deep Learning approach </div>
              <p>IRA: 8.0507</p>
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            <div class="resume-date text-md-right">
              <span class="text-primary"> February 2014.1 - December 2017.2</span>
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      <!-- *************** Experience **************** -->

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                <h2 class="mb-5">Experience</h2>


                <!-- neodados projeto sobe e desce -->

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                    <h3 class="mb-0">Data Science</h3>
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                      Estimating Origin and Destination in Public Transportation
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                      <li>
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                        Worked on training machine learning models for preprocessing and filtering of images.
                      </li>

                      <li>
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                        Worked on developing an ensemble model for facial detection. The ensemble model created is more robust and accurate in
detecting faces under different adverse conditions, as it is applied in a real environment, on photos captured inside buses, with
varying lighting conditions, pose, occlusion, etc.
                      </li>

                      <li>
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                        Worked on developing and fine-tuning models for facial recognition task.
                      </li>

                      <li>
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                        Analyzed the racial bias present in some facial detection models, aiming to ensure that the implemented ensemble model is
unbiased and addresses ethical concerns.
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                      <li>
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                        Worked on creating an API for deploying the developed models.
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                      <li>
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                        Conducted state-of-the-art research and published articles related to the developed application.
                      </li> 

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                  <div class="resume-date text-md-right">
                    <span class="text-primary">2019 - 2021</span>
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                <!-- neodados projeto de imagem -->

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                    <h3 class="mb-0">Machine Learning Engineer</h3>
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                      Fraud detection in public transportation
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                      <li>
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                        Data Analysis and Modeling of Different Public Transportation Databases.
                      </li>

                      <li>
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                        Development of a data mining software that estimates boarding and alighting information of passengers in public transportation.
The software, given the boarding and alighting information, calculates several indices to assist in the planning and management
of public transportation.
                      </li>

                      <li>
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                        Validation, analysis, and reporting of processed data.
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                      <li>
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                        Literature review and writing scientific articles on the obtained results.
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                  <div class="resume-date text-md-right">
                    <span class="text-primary">2022 - Current</span>
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                <!-- iniciação científica -->

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                    <h3 class="mb-0">VOLUNTARY SCIENTIFIC INITIATION</h3>
                    <div class="subheading mb-3">
                      Segmentation of Glaucomatous Images Using Deep Learning-Based Approaches
                    </div>
                    <p>
                      Glaucoma is a complex multifactorial disease, with specific characteristics, in which damage occurs in the optic nerve and progressive and irreversible loss of the visual field. According to the World Health Organization there are around 60 million Glaucomatous diseases worldwide, with more than 2.4 million cases occurring each year. There is still no cure for Glaucoma, but early detection and preventive treatments are the only ways to prevent total loss of vision in affected patients. Thus, this project aims to create a new method of automatic segmentation of Glaucoma using Deep Learning approaches based on the analysis of digital images of the fundus of the eye.
                    </p>
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                  <div class="resume-date text-md-right">
                    <span class="text-primary">October 2016 - July 2017</span>
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                <!-- projeto de extensao -->

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                    <h3 class="mb-0">Extension Project</h3>
                    <div class="subheading mb-3">
                      Web and mobile application for the dissemination of information from the various sectors and segments of the Senator Campus Helvídio Nunes of Barros.
                    </div>
                    <p>
                      The project proposed the implementation and implementation of an application on the web and mobile platforms for the dissemination of information from the various sectors and segments of the UFPI - Senador Helvídio Nunes de Barros campus, so that content production and related discussions are decentralized and accessible.
                    </p>
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                  <div class="resume-date text-md-right">
                    <span class="text-primary"> November 2016 - December 2017</span>
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                <!-- desenvolvimento do app vila -->

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                    <h3 class="mb-0">JUNIOR DEVELOPER IOS</h3>
                    <div class="subheading mb-3">VILA</div>
                    <p>
                      Application that presents the city of Oeiras-PI to tourists in a clear and simple way, taking into account not only physical factors but also expose their cultural elements.
                    </p>
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                  <div class="resume-date text-md-right">
                    <span class="text-primary">November 2015 - November 2016</span>
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            </section>

      <!-- *********************** Habilidades ************************* -->

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          <h2 class="mb-5">Skills</h2>

          <div class="subheading mb-3">Programming Languages &amp; Tools</div>
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          <div class="subheading mb-3">Building</div>
          <ul class="fa-ul mb-0">

            <li>
              <i class="fa-li fa fa-check"></i>
              Data Analysis
            </li>

            <li>
              <i class="fa-li fa fa-check"></i>
              Data Mining
            </li>

            <li>
              <i class="fa-li fa fa-check"></i>
              Neural Networks, Deep and Shallow using: Pytorch, Tensorflow and Keras
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            <li>
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              Object Detection Models
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            <li>
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              Face Recognition
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            <li>
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              Segmentation and / or clustering of data
            </li>

            <li>
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              Data Visualization (matplotlib, seaborn, plotly, ggplot)
            </li>

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      </section>

      <hr class="m-0">

      <section class="resume-section p-3 p-lg-5 d-flex flex-column" id="interests">
        <div class="my-auto">
          <h2 class="mb-5">Interests</h2>
          <p>
            In addition to being a researcher in the area of Artificial Intelligence (AI) reading a lot, I also like to practice challenges in the field, as in Kaggle competitions that help a lot to set learning in AI. On holidays, getting out of the routine, I practice activities such as fishing, swimming, soccer, sports, and cycling.
          </p>
          <p class="mb-0">
          When indoors, I watch science fiction, fantasy and documentary films. I am an aspiring chef, and I spend a great deal of my free time exploring the latest technological advancements in the world of Machine Learning primarily.
          </p>
        </div>
      </section>

      <hr class="m-0">

      <section class="resume-section p-3 p-lg-5 d-flex flex-column" id="awards">
        <div class="my-auto">
          <h2 class="mb-5"> Publications &amp; Certifications</h2>
          <ul class="fa-ul mb-0">
            
            <!-- 2023 -->


          <li>
            <a href="https://doi.org/10.1109/IJCNN54540.2023.10192027" target="_blank"><i class="fas fa-book"></i></a>
            FERREIRA, M. V. S.; LOPES, T. J. S. ; RIOS, R. A. ; RIOS, TATIANE N.
            <b class='text-primary'> Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia.</b>
            In: IEEE International Joint Conference on Neural Networks, 2023, Gold Coast. IEEE International Joint Conference on Neural Networks (IJCNN 2023), 2023.
          </li>
          <hr/>

            <li>
              <a href="https://doi.org/10.3389/fbinf.2023.1152039" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, MARCOS V.; NOGUEIRA, TATIANE ; RIOS, RICARDO A. ; LOPES, TIAGO J. S. 
              <b class='text-primary'> C. A graph-based machine learning framework identifies critical properties of FVIII that lead to hemophilia A.</b>
              Frontiers in Bioinformatics, v. 3, p. 34, 2023.
            </li>
            <hr/>


            <li>               
               <a href="https://www.nature.com/articles/s41598-023-36528-z" target="_blank"><i class="fas fa-book"></i></a>
               FERREIRA-MARTINS, ANDRÉ J. ; CASTALDONI, RODRIGO ; ALENCAR, BRENNO M. ; FERREIRA, MARCOS V. ; NOGUEIRA, TATIANE ; RIOS, RICARDO A. ; LOPES, TIAGO J. S. . 
               <b class='text-primary'>Full-scale network analysis reveals properties of the FV protein structure organization.</b> Scientific Reports, v. 13, p. 1, 2023.
            </li>
            <hr/>


            <li>
              <a href="https://doi.org/10.1093/bioadv/vbac098" target="_blank"><i class="fas fa-book"></i></a>
              Tiago J S Lopes, Ricardo A Rios, Tatiane N Rios, Brenno M Alencar, Marcos V Ferreira, Eriko Morishita.
              <b class='text-primary'> Computational analyses reveal fundamental properties of the AT structure related to thrombosis.</b>
               Bioinformatics Advances, Volume 3, Issue 1, 2023, vbac098.
            </li>
            <hr/>

            <!-- 2022 -->
            
            <li>
              <a href="https://doi.org/10.1007/s11042-022-12806-2" target="_blank"><i class="fas fa-book"></i></a>
              CANÁRIO, JOÃO PAULO ; FERREIRA, MARCOS VINÍCIUS ; FREIRE, JUNOT ; CARVALHO, MATHEUS ; RIOS, RICARDO.
              <b class='text-primary'> A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic.</b>
              Multimedia Tools and Applications, 2022.
            </li>
            <hr/>
            
            <li>
              <a href="https://doi.org/10.1016/j.simpa.2022.100230" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, MARCOS VINÍCIUS DOS SANTOS; RIOS, RICARDO; RIOS, TATIANE NOGUEIRA.
              <b class='text-primary'> sci-FTS: Using soft clustering on Intrinsic Mode Functions to model Fuzzy Time Series.</b>
              Software Impacts, v. 11, p. 100230, 2022.
            </li>
            <hr/>

            <!-- 2021 -->

            <li>
              <a href="https://doi.org/10.1016/j.asoc.2021.108011" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, MARCOS VINÍCIUS DOS SANTOS; RIOS, RICARDO; MELLO, RODRIGO; RIOS, TATIANE NOGUEIRA.
              <b class='text-primary'> Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series.</b>
              APPLIED SOFT COMPUTING, v. 113, p. 108011, 2021.
            </li>
            <hr/>

            <li>
              <a href="#" target="_blank"><i class="fas fa-book"></i></a>
                FERREIRA, M. V. S.; ALMEIDA, A. ; CANARIO, J. P. ; SOUZA, M. ; NOGUEIRA, T. ; RIOS, R. A. 
              <b class='text-primary'> Ethics of AI: Do the face detection models act with prejudice?.</b>
              In: Brazilian Conference on Intelligent Systems (BRACIS), 2021, São Paulo. Proceedings of the 9th Brazilian Conference on Intelligent Systems (BRACIS), 2021.
            </li>
            <hr/>


            <!-- 2019 -->

            <li>
              <a href="https://doi.org/10.1016/j.eswa.2018.06.010" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, MARCOS VINÍCIUS DOS SANTOS; FILHO, A. O. DE C.; DALÍLIA DE SOUSA, A.; C. S., ARISTÓFANES; G., MARCELO.
              <b class='text-primary'>Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma.</b>
              EXPERT SYSTEMS WITH APPLICATIONS, v. 110, p. 250-263, 2018.
            </li>
            <hr/>

            <li>
            <a href="http://www.enucomp.com.br/2017/enucomp_anaisX_2017.pdf#page=686" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, M. V. S.; CARVALHO, E. D.; SOUSA, A. D.; CARVALHO FILHO, A. O..
              <b class='text-primary'>Processamento Digital de Imagens Médicas com Python e OpenCV</b>.
              In: Ricardo de Andrade L. Rabêlo, Thiago C. de Sousa e Rodrigo Augusto R. S. Baluz.. (Org.).
               Anais Eletrônicos ENUCOMP 2017. 1ed. PARNAÍBA: Fundação Universidade Estadual do Piauí-FUESPI, 2017, v. , p. 678-701.
            </li>
            <hr/>

            <li>
              <a href="http://www.enucomp.com.br/2017/enucomp_anaisX_2017.pdf#page=794" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, M. V. S.; OLIVEIRA, K. M. S. ; CARVALHO FILHO, A. O. ; SOUSA, A. D..
              <b class='text-primary'>Deep Learning: Uma Introdução às Redes Neurais Convolucionais.</b>
                 In: Ricardo de Andrade L. Rabêlo, Thiago C. de Sousa e Rodrigo Augusto R. S. Baluz.. (Org.).
                  Anais Eletrônicos ENUCOMP 2017. 1ed. PARNAÍBA: Fundação Universidade Estadual do Piauí-FUESPI, 2017, v. , p. 786-806.
            </li>
              <hr/>

            <li>
              <a href="https://drive.google.com/file/d/0BwtCSUYWS1EBUm83V2ZLWE9uZDA/view?usp=sharing" target="_blank"><i class="fas fa-book"></i></a>
              FERREIRA, M. V. S.; SOUSA, A. D.; CARVALHO FILHO, A. O.; DRUMOND, P. M. L. L.; BARROS, P. V. S..
               <b class='text-primary'>Metodologia automática para diagnóstico do glaucoma usando abordagem Deep Learning.</b>
              In: Encontro Nacional de Inteligência Artificial e Computacional, 2017, Uberlândia. ENIAC. Uberlândia: SBC, 2017. v. XIV. p. 936-947..
            </li>
            <hr/>

            <li>
              <a href="http://www.enucomp.com.br/2017/enucomp_anaisX_2017.pdf#page=196" target="_blank"><i class="fas fa-book"></i></a>
              CARVALHO, E. D.; FERREIRA, M. V. S.; LEAL, R.; SILVA, F. A..
              <b class='text-primary'>Análise de Desempenho de um Sistema Distribuído para Segmentação de Imagens da Retina.</b>
               In: Encontro Unificado de Computação - ENUCOMP, 2017, Parnaíba. Anais Eletrônicos ENUCOMP 2017. PARNAÍBA: Fundação Universidade Estadual do Piauí-FUESPI, 2017. v. 10. p. 196-203.
            </li>
            <hr/>

            <li>
              <a href="http://www.enucomp.com.br/2017/enucomp_anaisX_2017.pdf#page=220" target="_blank"><i class="fas fa-book"></i></a>
               FERREIRA, M. V. S.; SOUSA, A. D. ; CARVALHO FILHO, A. O. ; BARROS, P. V. S. ; DRUMOND, P. M. L. L. .
               <b class='text-primary'>Diagnóstico Automático do Glaucoma usando Convolutional Neural Network e Descritores de Textura.</b>
                 In: Encontro Unificado de Computação - ENUCOMP, 2017, PARNAÍBA. Anais Eletrônicos ENUCOMP 2017.
                 PARNAÍBA: Fundação Universidade Estadual do Piauí-FUESPI, 2017. v. 1. p. 220-227.
            </li>

          </ul>
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