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<!DOCTYPE html>
<html lang="en">
<head>
<!-- meta -->
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Josue N Rivera</title>
<meta
content="josue nathanael N rivera valdez computer science machine learning aerospace deep learning student intern software engineering programmer"
name="keywords">
<meta name="author" content="Josue N Rivera">
<meta
content="My name is Josue N Rivera and I am a passionate aerospace engineer and computer scientist with an interest in machine learning and controls."
name="description">
<!-- Google Fonts -->
<link
href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,500,500i,600,600i,700,700i|Playfair+Display:400,400i,700,700i,900,900i"
rel="stylesheet">
<!-- Bootstrap CSS File -->
<link href="lib/bootstrap/css/bootstrap.min.css" rel="stylesheet">
<!-- Libraries CSS Files -->
<link href="lib/owlcarousel/assets/owl.carousel.min.css" rel="stylesheet">
<link href="lib/photoswipe/photoswipe.css" rel="stylesheet">
<link href="lib/hover/hover.min.css" rel="stylesheet">
<!-- Icons Library -->
<script type="module" src="https://unpkg.com/ionicons@5.0.0/dist/ionicons/ionicons.esm.js"></script>
<script nomodule="" src="https://unpkg.com/ionicons@5.0.0/dist/ionicons/ionicons.js"></script>
<!-- Main Stylesheet File -->
<link href="css/style.css" rel="stylesheet">
<!-- Responsive css -->
<link href="css/responsive.css" rel="stylesheet">
<link rel="shortcut icon" href="images/logo-bg.svg">
</head>
<body>
<!-- start section navbar -->
<nav id="main-nav">
<div class="row">
<div class="container">
<div class="logo .nav-menu">
<a href="index.html"><img src="images/logo.svg" width="300px" alt="logo"></a>
</div>
<div class="responsive" style="font-size: 40px; margin: -10px;">
<ion-icon name="reorder-three-outline"></ion-icon>
</div>
<ul class="nav-menu list-unstyled">
<li><a href="#header" class="smoothScroll">Home</a></li>
<li><a href="#about" class="smoothScroll">About</a></li>
<li><a href="#experience" class="smoothScroll">Experience</a></li>
<li><a href="#portfolio" class="smoothScroll">Portfolio</a></li>
<li><a href="#contact" class="smoothScroll">Contact</a></li>
<li><a href="info/Rivera_Josue_Resume_CV.pdf" target="_blank" class="btn btn-resume">Resume/CV</a>
</li>
</ul>
</div>
</div>
</nav>
<!-- End section navbar -->
<!-- start section header -->
<div id="header" class="home">
<div class="container">
<div class="header-content">
<h2>My name is Josue</h2>
<h2>and I'm excited about</h2>
<h2><span class="typed"></span></h2>
<ul class="list-unstyled list-social">
<li>
<a href="https://www.instagram.com/josuecom_/" target='_blank'>
<ion-icon name="logo-instagram"></ion-icon>
</a>
</li>
<li>
<a href="https://github.com/JosueCom" target='_blank'>
<ion-icon name="logo-github"></ion-icon>
</a>
</li>
<li>
<a href="https://www.linkedin.com/in/josue-n-rivera/" target='_blank'>
<ion-icon name="logo-linkedin"></ion-icon>
</a>
</li>
<li>
<a href="https://scholar.google.com/citations?user=415ttAoAAAAJ&hl=en" target='_blank'>
<ion-icon name="school-outline"></ion-icon>
</a>
</li>
<li>
<a href="https://twitter.com/josuecom_" target='_blank'>
<ion-icon name="logo-twitter"></ion-icon>
</a>
</li>
</ul>
</div>
</div>
<p class="print">"A City of People" by Josue N Rivera</p>
</div>
<!-- End section header -->
<!-- start section about -->
<div id="about" class="paddsection">
<div class="container">
<div class="row justify-content-between">
<div class="col-lg-4 ">
<div class="div-img-bg">
<div class="about-img">
<img src="images/me3.jpg" class="img-responsive" alt="me">
</div>
</div>
</div>
<div class="col-lg-7">
<div class="about-descr">
<p class="p-heading">I am
computer scientist and aerospace engineer with an interest in machine learning and autonomy.
</p>
<p class="separator">There is nothing more exciting to me than learning new things.
Every day, I attempt to observe how our world works and explore new ways to innovate the way
we live.</p>
<div class="about-btn-section">
<a href="info/Rivera_Josue_Resume_CV.pdf" target="_blank" class="btn btn-info">Resume/CV</a>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- end section about -->
<!-- start section facts -->
<div id="facts">
<div class="container">
<div class="facts-carousel owl-theme">
<div class="facts-block">
<ion-icon name="globe-outline"></ion-icon>
<span>Dominican Republic</span>
<span>Immigrant</span>
<!--<p class="separator">At the age of 12, my family and I moved to the United States from the Dominican Republic. It was my first time traveling outside of the DR.</p>-->
</div>
<div class="facts-block">
<ion-icon name="film-sharp"></ion-icon>
<span>Anime Fan</span>
<!--<p class="separator">I have become an anime fan. Currently, I am the chair of the Anime club at my school.</p>-->
</div>
<div class="facts-block">
<ion-icon name="body"></ion-icon>
<span>Billiards Player</span>
<!--<p class="separator">Ever since discovering billiard my freshman year, I have gained an interest for the game. Once in a while, I tried to sneak in a few game in my schedule.</p>-->
</div>
<div class="facts-block">
<ion-icon name="bulb-outline"></ion-icon>
<span>AI Developer</span>
</div>
<div class="facts-block">
<ion-icon name="library-outline"></ion-icon>
<span>Lifelong Learner</span>
<!--<p class="separator">An interest that I cannot explain its origin is my passion for learning. I try to take any opportunity I can to learn more about the world.</p>-->
</div>
<div class="facts-block">
<ion-icon name="people-outline"></ion-icon>
<span>Civic Engagement</span>
<span>Advocate</span>
<!--<p class="separator">When I first came to the US, I started volunteering as a way of meeting people and an opportunity to practice English. Ever since, I have become very passionate about it. I now volunteer around 15+ hours a week.</p>-->
</div>
<div class="facts-block">
<ion-icon name="cog-outline"></ion-icon>
<span>Engineer</span>
</div>
<div class="facts-block">
<ion-icon name="build-outline"></ion-icon>
<span>Maker</span>
</div>
</div>
</div>
</div>
<!-- end section facts -->
<!-- start section experience -->
<div id="experience" class="paddsection">
<div class="container">
<div class="section-title text-center">
<h2>Experience</h2>
</div>
</div>
<div class="container desc">
<div class="row">
<div class="col-lg-1"></div>
<div class="col-lg-2">
<h5>EDUCATION</h5>
</div>
<div class="col-lg-6 experience-block">
<p><span class="title">Doctor of Philosophy</span> | Purdue University</p>
<p><b>Program:</b> Aeronautics and Astronautics Engineering</p>
<p><b>Major:</b> Autonomy and Control | <b>Minor:</b> Aerospace Systems</p>
<p><b>Honors, Leaderships and Awards:</b></p>
<br>
<i>
<ul>
<li><b>Purdue Doctoral Fellowship:</b> Students whose backgrounds, views, and
experiences would contribute to the diversity of Purdue are considered for the
Purdue Doctoral Fellowship</li>
</ul>
</i>
<p><b>Highlighted Courses:</b></p>
<br>
<i>
<ul>
<li>Multidisciplinary Design Optimization</li>
<li>Systems Analysis and Synthesis</li>
</ul>
</i>
</div>
<div class="col-lg-3">
<p>2025</p>
<span class="high">In Progress</span>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p><span class="title">Master of Science</span> | University of Massachusetts Dartmouth</p>
<p><b>Program:</b> Computer Science</p>
<p><b>Thesis:</b> Graph Induced Lifelong Learning through Features Similarities and
Dissimilarities</p>
<p><b>Highlighted Courses:</b></p>
<br>
<i>
<ul>
<li>Algorithms and Complexity</li>
<li>Advanced Data Mining</li>
<li>Advanced Machine Learning</li>
<li>Advance Computer System</li>
<li>Database Design</li>
<li>Digital Forensic</li>
<li>Theoretical Computer Science</li>
</ul>
</i>
</div>
<div class="col-lg-3">
<p>
2021
</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p><span class="title">Bachelor of Science</span> | University of Massachusetts Dartmouth </p>
<p><b>Program:</b> Computer Science</p>
<p><b>Honors, Leaderships and Awards:</b></p>
<br>
<i>
<ul>
<li><b>Endeavor Scholar:</b> Prestigious scholarship given for academic merit,
leadership, and civic engagement</li>
<li><b>Newman Fellow:</b> Nationwide recognition given to change-makers and public
problem-solvers</li>
<li><b>29 Who Shine Award Recipient:</b> Award given by the Dept. of Higher Education
and Mass Governor to recognize 29 outstanding student graduates from the
Commonwealth’s public higher education system</li>
<li><b>University Civic Engagement Award Recipient:</b> Given to a student who made an
impact on the campus</li>
<li><b>Chancellor’s List:</b> Inducted into a list of students who have earned a GPA of
3.8 or higher</li>
</ul>
</i>
</div>
<div class="col-lg-3">
<p>
2019<br />
</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p><span class="title">Diploma</span> | Lawrence High School (Math, Science and Technology Academy)
</p>
<p><b>Honors, Leaderships and Awards:</b> <i>Valedictorian; L'Pin Award Recipient</i></p>
</details>
</div>
<div class="col-lg-3">
<p>
2016<br />
</p>
</div>
</div>
<br>
<hr>
</div>
<div class="container desc">
<div class="row">
<div class="col-lg-1"></div>
<div class="col-lg-2">
<h5>WORK</h5>
</div>
<div class="col-lg-6 experience-block">
<p> <span class="title">Graduate Research Assistant</span> | Purdue University </p>
<br>
<br>
<ul>
<li>Ph.D student at <a href="https://web.ics.purdue.edu/~dsun/index.html">Dr. Dengfeng Sun</a>'s
research lab</li>
<li>Researching machine learning-based optimal controller and scalable aerial cargo operations</li>
<li>Developing a data-free Hamiltonian-informed optimal neural controller for non-linear dynamical systems</li>
</ul>
</div>
<div class="col-lg-3">
<p>August 2021 - Present</p>
<span class="high">In Progress</span>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p> <span class="title">Research Associate (Intern)</span> | Hewlett Packard Labs
</p>
<br>
<br>
<ul>
<li>PhD R&D research associate (intern) at HPE's Large Scale Integrated Photonics (LSIP) Lab,
Milpitas, California</li>
<li>First place technical project winner at HPE Bay Area's Best-in-Class Competition</li>
<li>Phototyped novel physics-informed neural network architectures to serve as surrogate for
physics solvers</li>
<li>Developed automated test to analyzes the performance of proposed reinforcement learning
methods for designing silicon photonics grating coupler </li>
<li>Parallelized physics simulations of gratings coupler tests</li>
</ul>
</div>
<div class="col-lg-3">
<p>May 2022 - August 2022 <br>May 2021 - August 2021</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p> <span class="title">Graduate Teaching Assistant</span> | University of Massachusetts Dartmouth
</p>
<br>
<br>
<ul>
<li>Teaching assistant and grader at the Computer and Information Science Department</li>
<li>Managed students' performance records and met regularly to review topics discussed in
class </li>
<li>Designed learning materials with supporting tools</li>
<li><i>Courses:</i>
</li><br>
<ul>
<li>CIS 180: Object-Oriented Programming I</li>
<li>CIS 322 (Online): Data Structures and Fundamental Algorithms</li>
<li>CIS 560: Theoretical Computer Science</li>
<li>CIS 570: Advance Computer Systems</li>
<li>CIS 570 (Online): Advance Computer Systems</li>
</ul>
</ul>
</div>
<div class="col-lg-3">
<p>
January 2020 - May 2021
</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p><span class="title">Research Fellow</span> | University of Texas at Dallas</p>
<br>
<ul>
<li>Worked as a researcher at the University of Texas at Dallas through the National Science
Foundation Research Experiences for Undergraduate (REU) Program and under the
supervision of
Dr. Eric Wong</li>
<li>The team conducted a deep analysis on the reliability of various classical machine
learning
techniques, deep learning models and radiologists to provide empirical data that can
either
support or oppose the use of deep learning in critical situations where reliability is a
priority</li>
<li>The research was presented by a collegue and I at 2019 REU Symposium in Washington DC
</li>
</ul>
</details>
</div>
<div class="col-lg-3">
<p>
May 2019 - August 2019
</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p>
<span class="title">Research Assistant </span> | University of Massachusetts Dartmouth
</p>
<br>
<ul>
<li>Research assistant to Dr. Maoyuan Sun (Interests: Data Visualization and Human-Centered
ML)
</li>
<li>Worked on numerous projects including the NSF-supported research: Visualizing Data
Relationships Across Multiple Views. The project investigated methods for displaying
relationships in data across multiple visualizations</li>
<li>Developed a program to detect irregularity in a data stream</li>
</ul>
</div>
<div class="col-lg-3">
<p>
September 2017 - May 2019
</p>
</div>
</div>
<br>
<hr>
</div>
<div class="container desc">
<div class="row">
<div class="col-lg-1"></div>
<div class="col-lg-2">
<h5>Papers</h5>
</div>
<div class="col-lg-6 experience-block">
<p>
<span class="title">Master Thesis</span> | Graph Induced Lifelong Learning through Features
Similarities and Dissimilarities
</p>
<details>
<summary>Abstract</summary>
<p>Traditional approaches for training classical neural networks require that all possible
classes that the model might encounter be sampled and presented during initial training.
Such a requirement limits the domain of problems solved. For instance, building a vehicle
that can traverse uncharted territories would be challenging due to the difficulty of
constructing a model that can account for all unknown situations. In this thesis, we are
presenting a proof-of-concept framework and technique for a novel approach to continual
lifelong learning that utilizes feature similarities and dissimilarities in a given batch of
data to solve never-seen-before tasks. Our approach has the advantage that it can be applied
to both Euclidean data as well as graphs and can sustain notable accuracy across
introductions of new classes without any retraining/rehearsal.</p>
<p> The heart of our technique, Lign, is the leveraging of neural network fine tuning and
pruning,
commonly used in transfer learning, to temporarily remove certain weights from a network
that detect key features of a previously solved tasks and reuses them to understand new
problems. After pruning, the neural network can be utilized as an embedder with the aid of
clustering techniques to label data based on genetic learned features. Lign_MNIST (a
restructured model tested on the MNIST data set) was able to demonstrate feature comparison
and learning when shown unknown digits. Results were also found with other models that were
tested on the CIFAR-100 and Cora data sets that provide further insights into the inner
working of the technique.</p>
</details>
</div>
<div class="col-lg-3">
<p>
2021
</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6 experience-block">
<p>
<span class="title">Book Chapter & Conference</span> | An Educational Tool for Exploring the
Pumping Lemma Property for Regular Languages
<p>
<details>
<summary>Abstract</summary>
<p>Pumping lemma has been a very difficult topic for students to understand in a theoretical
computer science course due to a lack of tool support. In this paper, we present an active
learning tool called MInimum PUmping length (MIPU) educational software to explore the
pumping lemma property for regular languages. For a given regular language, MIPU offers
three major functionalities: determining the membership of an input string, generating a
list of short strings that belong to the language, and automatically calculating the minimal
pumping length of the language. The software tool has been developed to provide educational
assistance to students to better understand the concepts of pumping lemma and minimum
pumping length and promote active learning through hands-on practice.</p>
</details>
<br>
<br>
<ul>
<li>
<u>Josue N. Rivera</u> and Haiping Xu, “An Educational Tool for Exploring the Pumping Lemma
Property of Regular Languages,” In H. R. Arabnia (Ed.), <i>Advances in Software Engineering,
Education, and e-Learning</i>, Springer Nature - Research Book Series, Transactions on
Computational Science & Computational Intelligence, (<a
href="https://www.springer.com/series/11769">TCSCI</a>), 2020.
</li>
<li>
<u>Josue N. Rivera</u> and Haiping Xu, “An Educational Tool for Exploring the Pumping Lemma
Property of Regular Languages,” <i>The 16th International Conference on Frontiers in
Education: Computer Science and Computer Engineering (<a
href="https://americancse.org/events/csce2020/conferences/fecs20">FECS’20</a>)</i>,
Las Vegas, Nevada, USA, Jul 27-30, 2020. (<a href="papers/FECS-2020p.pdf">PDF</a>).
</li>
</ul>
</p>
</div>
<div class="col-lg-3">
<p>
2020
</p>
</div>
<div class="col-lg-3"></div>
<div class="col-lg-6">
<p>
<span class="title">Research Poster</span> | A Comparison of the Reliability between Traditional
Machine Learning Techniques and Deep Learning in the Classification of Breast Cancer
</p>
<br>
<ul>
<li><u>Josue N. Rivera</u>, Jacob Richard, and Ricardo Ramirez, "A Comparison of the Reliability
between Traditional Machine Learning Techniques and Deep Learning in the Classification of
Breast Cancer," <i>Research Poster</i>, 2019 Research Experiences for Undergraduates
Symposium (<a href="https://www.cur.org/what/events/students/reu/">REUS 2019</a>),
Alexandria, VA, USA, October 27-28, 2019.</li>
</ul>
</div>
<div class="col-lg-3">
<p>
2019
</p>
</div>
</div>
<!--/.row -->
<br>
</div>
</div>
<!-- end section experience -->
<!-- start section portfolio -->
<div id="portfolio" class="paddsection">
<div class="container">
<div class="section-title text-center">
<h2>Portfolio</h2>
</div>
</div>
<div class="container">
<div class="row">
<div class="col-md-12">
<div class="portfolio-list text-center">
<ul class="nav list-unstyled" id="portfolio-flters">
<li class="filter filter-active" data-filter=".all">all</li>
<li class="filter" data-filter=".machinelearn">Machine Learning</li>
<li class="filter" data-filter=".gamedesign">Game Design</li>
<li class="filter" data-filter=".webdesign">Web Development</li>
<li class="filter" data-filter=".softapp">Software Application</li>
</ul>
</div>
<div class="portfolio-container">
<div class="col-lg-4 col-md-6 portfolio-thumbnail all gamedesign">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/runnerZ.png" class="thumb-link" title="Runner-Z"
data-size="640x480">
<img src="images/portfolio/runnerZ.png" srcset="images/portfolio/runnerZ.png 1x"
alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
Runner-Z
</h3>
<p class="item-folio__cat">
Game Development
</p>
</div>
<a href="https://github.com/JosueCom/RUNNERZ" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>Runner-Z is a video game designed for the Intellivision console of 1979. The game
incorporates modern game design concepts while working with the limitation of
the hardware. The game was completely written in BASIC with some Assembly for
data management.</p>
<a href="https://github.com/JosueCom/RUNNERZ" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all machinelearn">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/lign.png" class="thumb-link"
title="LIGN and R-LIGN" data-size="850x792">
<img src="images/portfolio/lign.jpg" srcset="images/portfolio/lign.jpg 1x"
alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
Lign
</h3>
<p class="item-folio__cat">
Deep Learning Library
</p>
</div>
<a href="https://github.com/JosueCom/LIGN-and-R_LIGN" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>A graph framework that can be used to implement graph convolutional networks
(GCNs), geometry machine learning, continual lifelong learning on graphs and
other graph-based machine learning methods alongside PyTorch.</p>
<a href="https://github.com/JosueCom/LIGN-and-R_LIGN" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all webdesign">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/site.jpg" class="thumb-link" title="Porfolio Site"
data-size="850x561">
<img src="images/portfolio/site.png" srcset="images/portfolio/site.png 1x"
alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
Porfolio
</h3>
<p class="item-folio__cat">
Web Development
</p>
</div>
<a href="https://github.com/JosueCom/Porfolio-Site" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>A personal site designed to showcase current and past projects. It was built
using web tools such as HTML5, CSS3 and JavaScript.</p>
<a href="https://github.com/JosueCom/Porfolio-Site" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all machinelearn" id="model-folio">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/right_foot.png" class="thumb-link"
title="3D Geometry Foot" data-size="640x480">
<img src="images/portfolio/right_foot.png"
srcset="images/portfolio/right_foot.png 1x" alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
3D Geometry Foot
</h3>
<p class="item-folio__cat">
Machine Learning
</p>
</div>
<div class="item-folio__caption">
<p>3D Geometry Foot is an algorithm that from a few images can reconstruct a 3D
model of a person foot. It was developed as a bachelor capstone project.</p>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all machinelearn">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/pif.jpg" class="thumb-link" title="PIF"
data-size="850x480">
<img src="images/portfolio/pif.jpg" srcset="images/portfolio/pif.jpg 1x" alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
PIF
</h3>
<p class="item-folio__cat">
Neural Network Model
</p>
</div>
<a href="https://github.com/biringaChi/PIF" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>PIF is an encoder-decoder convolutional neural network that can generate
in-between frames of a given video thus increasing frame rate. During the
research, a high definition 25 fps video was increased to 50 fps without loss in
resolution, reduced length of video or noticeable distortions.</p>
<a href="https://github.com/biringaChi/PIF" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all softapp">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/sql.png" class="thumb-link" title="SQL Engine"
data-size="850x767">
<img src="images/portfolio/sql.png" srcset="images/portfolio/sql.png 1x" alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
SQL Engine
</h3>
<p class="item-folio__cat">
Database System
</p>
</div>
<a href="https://github.com/JosueCom/SQL-Engine" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>The project consisted of a database engine that can process SQL queries and apply
standard optimization techniques like projection pushdown, selection pushdown
and cross product to join conversion.</p>
<a href="https://github.com/JosueCom/SQL-Engine" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all machinelearn">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/heart.jpg" class="thumb-link"
title="Cardiac Survival Predictor" data-size="850x477">
<img src="images/portfolio/heart.jpg" srcset="images/portfolio/heart.jpg 1x"
alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
Cardiac Survival Predictor
</h3>
<p class="item-folio__cat">
Machine Learning
</p>
</div>
<a href="https://github.com/JosueCom/Cardiac-Survival-Predictor" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>This project aims to predict patient survival of an ICU stay among those who have
frequently occurring cardiac
diagnoses, namely congestive heart failure and atrial fibrillation. </p>
<a href="https://github.com/JosueCom/Cardiac-Survival-Predictor" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all softapp">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/mipu.jpg" class="thumb-link" title="MIPU"
data-size="850x500">
<img src="images/portfolio/mipu.jpg" srcset="images/portfolio/mipu.jpg 1x"
alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
MIPU
</h3>
<p class="item-folio__cat">
Educational Application
</p>
</div>
<a href="https://github.com/JosueCom/MIPU" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>MInimum PUmping length (MIPU) educational software is an active learning tool
designed to explore the pumping lemma property for regular languages. For a
given regular language, MIPU offers three major functionalities: determining the
membership of an input string, generating a list of short strings that belong to
the language, and automatically calculating the minimal pumping length of the
language. </p>
<a href="https://github.com/JosueCom/MIPU" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all machinelearn webdesign softapp">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/perkins.png" class="thumb-link"
title="PerkinsHack" data-size="640x480">
<img src="images/portfolio/perkins.jpg" srcset="images/portfolio/perkins.jpg 1x"
alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
EZform - PerkinsHack
</h3>
<p class="item-folio__cat">
Application
</p>
</div>
<a href="https://github.com/HieuNgo/ezform" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>EZform is a text reader for images with textual context that allows blind
individuals to fill out forms in private. It was developed during PerkinsHack
2018.</p>
<a href="https://github.com/HieuNgo/ezform" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<div class="col-lg-4 col-md-6 portfolio-thumbnail all machinelearn softapp webdesign">
<div class="item-folio">
<div class="item-folio__thumb">
<a href="images/portfolio/gallery/hopfield.png" class="thumb-link"
title="Bitmap Recovery" data-size="640x480">
<img src="images/portfolio/hopfield.png"
srcset="images/portfolio/hopfield.png 1x" alt="">
<span class="shadow-overlay"></span>
</a>
</div>
<div class="item-folio__text">
<h3 class="item-folio__title">
Bitmap Recovery
</h3>
<p class="item-folio__cat">
Machine Learning
</p>
</div>
<a href="https://github.com/JosueCom/Hopfield_Network-Binary_App" target="_blank"
class="item-folio__project-link" title="Project link">
<ion-icon name="git-branch-outline"></ion-icon>
</a>
<div class="item-folio__caption">
<p>This is a web application developed to test the capacity of bitmaps recovery by
Hopfield Neural Networks.</p>
<a href="https://github.com/JosueCom/Hopfield_Network-Binary_App" target="_blank"
class="btn btn-info">Repository</a>
</div>
</div>
</div>
<a href="https://github.com/JosueCom" id="portfolio-more-container">
<div class="col-lg-4 col-md-6 portfolio-thumbnail all softapp gamedesign machinelearn webdesign"
style="height: 480px; position: relative;">
<ion-icon name="add" id="portfolio-more"></ion-icon>
</div>
</a>
</div>
<div class="container">
<div class="section-title text-center" style="margin-top: 2rem;">
<h2>Technical Skills</h2>
</div>
</div>
<div class="skills-carousel owl-theme">
<div class="facts-block">
<img src="images/skills/arduino.png">
<span>Arduino</span>
</div>
<div class="facts-block">
<img src="images/skills/c.png">
<span>C Programming</span>
</div>
<div class="facts-block">
<img src="images/skills/c++.png">
<span>C++ Programing</span>
</div>
<div class="facts-block">
<img src="images/skills/torch.png">
<span>PyTorch</span>
</div>
<div class="facts-block">
<img src="images/skills/tf.png">
<span>TensorFlow</span>
</div>
<div class="facts-block">
<img src="images/skills/python.png">
<span>Python</span>
</div>
<div class="facts-block">
<img src="images/skills/html.png">
<span>HTML</span>
</div>
<div class="facts-block">
<img src="images/skills/css.png">
<span>CSS</span>
</div>
<div class="facts-block">
<img src="images/skills/js.png">
<span>JavaScript</span>
</div>
<div class="facts-block">
<img src="images/skills/node.png">
<span>Node.js</span>
</div>
<div class="facts-block">
<img src="images/skills/java.png">
<span>Java</span>
</div>
<div class="facts-block">
<img src="images/skills/godot.png">
<span>Godot</span>
</div>
<div class="facts-block">
<img src="images/skills/unity.png">
<span>Unity</span>
</div>
<div class="facts-block">
<img src="images/skills/vscode.png">
<span>VSCode</span>
</div>
<div class="facts-block">
<img src="images/skills/linux.png">
<span>Linux</span>
</div>
<div class="facts-block">
<img src="images/skills/blender.png">
<span>Blender</span>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- End section portfolio -->
<!-- start section contact -->
<div id="contact" class="paddsection">