Portfolio.github.io/index.html at main · MOINAKBOSS/Portfolio.github.io · GitHub

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<!DOCTYPE html>
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<head>
  <meta charset="UTF-8">
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  <title>Moinak Bose</title>
</head>

<body>
  <!-- Header -->
  <section id="header">
    <div class="header container">
      <div class="nav-bar">
        <div class="brand">
          <a href="#hero">
            <h1><span>M</span>oi<span>n</span>ak</h1>
          </a>
        </div>
        <div class="nav-list">
          <div class="hamburger">
            <div class="bar"></div>
          </div>
          <ul>
            <li><a href="#hero" data-after="Home">Home</a></li>
            <li><a href="#services" data-after="Service">Publications</a></li>
            <li><a href="#projects" data-after="Projects">Projects</a></li>
            <li><a href="#about" data-after="About">About</a></li>
            <li><a href="#contact" data-after="Contact">Contact</a></li>
          </ul>
        </div>
      </div>
    </div>
  </section>
  <!-- End Header -->


  <!-- Hero Section  -->
  <section id="hero">
    <div class="hero container">
      <div>
        <h1>Hello, <span></span></h1>
        <h1>My Name is <span></span></h1>
        <h1>Moinak <span></span></h1>
        <a href="#projects" type="button" class="cta">Portfolio</a>
      </div>
    </div>
  </section>
  <!-- End Hero Section  -->

  <!-- Service Section -->
  <section id="services">
    <div class="services container">
      <div class="service-top">
        <h1 class="section-title">Pub<span>lica</span>tions</h1>
        <p>These are some of works that I got published in various conferences and journals! The links are provided along with the descriptions.</p>
      </div>
      <div class="service-bottom">
        <div class="service-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/services.png" /></div>
          <h2>COVID-19 Analysis using Chest CT Scans and X-Rays: A Review</h2>
          <p>a) Importance of medical imaging tools since images (clinical procedure) and Chest CT scans and X-rays are commonly used for lung health (pulmonary abnormality) screening;
            b) COVID-19 screening;
            c) COVID 19 pathology segmentation, localization, and visualization; and
            d) Dataset with the take-home-message: how big is big?</p>
            <a href="https://www.journals.elsevier.com/pattern-recognition">Link</a>
        </div>
        <div class="service-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/services.png" /></div>
          <h2>Supervised Neural Networks for Fruit Identification</h2>
          <p>a) Used CNN and ResNet50 as framework; b) The test accuracy achieved by CNN and ResNet50 V2 was 97.48% and 98.89% respectively; c) The training directory was augmented,and a validation set of 12% was set to monitor the consistency and reliabil-ity of the results achieved; d) We took advantage of a predictor model to visual-ize the results on a test set with 3,615 images.</p>
          <a href="https://www.rtip2r-conference.org/">Link</a>
        </div>
        <div class="service-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/services.png" /></div>
          <h2>Alzheimer’s Disease Detection using Ensemble Learning and ANNs</h2>
          <p>a) The use of ANN achieves an overall test accuracy of 0.9196; b)  The AD detection outcome is obtained using two procedures, firstby ensemble approach applied on different machine learning algorithms,and secondly using an artificial neural network (ANN); c) Used (OASIS) Dataset; d) The precision and sensitivity scores demonstratethe superior detection performance of the ANN over the ensemble method on ML algorithms.</p>
          <a href="https://www.rtip2r-conference.org/">Link</a>
        </div>
        <div class="service-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/services.png" /></div>
          <h2>R-GAN: Retinal Image Enhancement using Generative Adversarial Networks</h2>
          <p>a) We analyze the OCT dataset (84, 484 images) and enhance the images by using Generative Adversarial Networks (GANs); b) The performance of the R-GAN is validated by PSNR, SSIM, and loss functions; c) We achieve an accuracy of 0.9825 on R-GAN generated image data, and 0.9525 on the original data; d) This work specifically focuses on enhancing the quality of source (training) images for better algorithm testing/validation.</p>
          <a href="https://www.researchgate.net/publication/353200785_Ret-GAN_Retinal_Image_Enhancement_using_Generative_Adversarial_Networks">Link</a>
        </div>
        <div class="service-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/services.png" /></div>
          <h2>Smart Stick for Visually Impaired Using GPS and GSM Module</h2>
          <p>a) Sensors to detect hurdles and obstacles upfront; b) GPS to track location of the person; c) GSM to support SOS; d) Health Monitor to detect abnormalities.</p>
          <a href="https://link.springer.com/chapter/10.1007%2F978-981-33-4866-0_23">Link</a>
        </div>
        <div class="service-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/services.png" /></div>
          <h2>A Study on Smart Irrigation System using IoT & Machine Learning</h2>
          <p>a) Sensors to detect soil condition; b) Sensors to detect weather condition; c) Long Range wireless control of water supply; d) ML to recognize weather and soil condition pattern to act accordingly on long run.</p>
          <a href="https://www.irjet.net/archives/V7/i3/IRJET-V7I3812.pdf">Link</a>
        </div>
      </div>
    </div>
  </section>
  <!-- End Service Section -->

  <!-- Projects Section -->
  <section id="projects">
    <div class="projects container">
      <div class="projects-header">
        <h1 class="section-title">Recent <span>Projects</span></h1>
      </div>
      <div class="all-projects">
        <div class="project-item">
          <div class="project-info">
            <h1>Project 1</h1>
            <h2>Text Summarization and Question-Answering Using Deep Learning Techniques</h2>
            <p>Advanced neural network models to condense information or generate concise summaries of text, as well as to provide accurate responses to questions based on the input text.</p>
          </div>
          <div class="project-img">
            <img src="./img/img-1.png" alt="img">
          </div>
        </div>
        <div class="project-item">
          <div class="project-info">
            <h1>Project 2</h1>
            <h2>Predictive Modeling and Analysis of Healthcare Costs Using Large-Scale Claims Data</h2>
            <p>Utilizing large-scale claims data, predictive modeling, and analysis in, enabling more informed decision-making and resource allocation.</p>
          </div>
          <div class="project-img">
            <img src="./img/img-1.png" alt="img">
          </div>
        </div>
        <div class="project-item">
          <div class="project-info">
            <h1>Project 3</h1>
            <h2>Enhancing Selectivity Estimation in Database Systems</h2>
            <p>Employs a deep learning approach to improve selectivity estimation in database systems, enhancing the accuracy of query optimization.</p>
          </div>
          <div class="project-img">
            <img src="./img/img-1.png" alt="img">
          </div>
        </div>
        <div class="project-item">
          <div class="project-info">
            <h1>Project 4</h1>
            <h2>Wireless Obstacle Detector and Line follower bot</h2>
            <p>It used components like bluetooth module, arduino, motor driver, ultrasonic sensor and ir sensors to be controlled in 3 different ways as per requirement.</p>
          </div>
          <div class="project-img">
            <img src="./img/img-1.png" alt="img">
          </div>
        </div>
      </div>
    </div>
  </section>

  <section id="about">
    <div class="about container">
      <div class="col-left">
        <div class="about-img">
          <img src="./img/SAVE_20200127_174650.jpg" alt="img">
        </div>
      </div>
      <div class="col-right">
        <h1 class="section-title">About <span>me</span></h1>
        <h2>Data Science Enthusiast</h2>
        <p>I aspire to use my knowledge and skills as a data scientist for organizations to make strategic decisions and broaden my job prospects. I am currently pursuing a Master’s in Data Analytics with a specialization in AI from Western University and I want to implement automation and computer vision at an industry level. I am a Site Reliability Engineer with 2 years of professional experience with expertise in Networking, Linux, and Python. A Master's in the field of Data Science with a concentration in data mining, and statistical analysis will help me to pursue my career as a Data Engineer.</p>
        <a href="./img/Moinak_Bose.pdf" download class="cta">Download Resume</a>
      </div>
    </div>
  </section>
  <section id="contact">
    <div class="contact container">
      <div>
        <h1 class="section-title">Contact <span>info</span></h1>
      </div>
      <div class="contact-items">
        <div class="contact-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/phone.png" /></div>
          <div class="contact-info">
            <h1>Phone</h1>
            <h2>+1 5198519381</h2>
            <h2>+91 9477100305</h2>
          </div>
        </div>
        <div class="contact-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/new-post.png" /></div>
          <div class="contact-info">
            <h1>Email</h1>
            <h2>moinakbose12@gmail.com</h2>
            <h2>mbose@uwo.ca</h2>
          </div>
        </div>
        <div class="contact-item">
          <div class="icon"><img src="https://img.icons8.com/bubbles/100/000000/map-marker.png" /></div>
          <div class="contact-info">
            <h1>Address</h1>
            <h2>443, Castlegrove Court, London, Ontario, Canada - N6G 1L2</h2>
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        <h1><span>M</span>oi<span>N</span>ak</h1>
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      <h2>Your Complete Data Solution</h2>
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