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@Akshatha-Mohan
Akshatha-Mohan committed Aug 19, 2024
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/* .skills {
font-family: Arial, sans-serif;
} */

.publications-list {
margin-top: 20px;
}

.publication-item {
margin-bottom: 30px;
border-left: 3px solid #3498db;
padding-left: 15px;
}

.publication-title {
font-size: 18px;
margin-bottom: 5px;
}

.publication-title a {
color: #2c3e50;
text-decoration: none;
}

.publication-title a:hover {
color: #3498db;
}

.publication-authors {
font-size: 14px;
color: #555;
margin-bottom: 3px;
}

.publication-details {
font-size: 14px;
color: #888;
margin-bottom: 5px;
}

.publication-description {
font-size: 14px;
color: #333;
}

.skills-section {
padding: 40px;
border-radius: 10px;
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173 changes: 105 additions & 68 deletions index.html
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<!DOCTYPE html>
<html lang="en-US">
<head>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
Expand Down Expand Up @@ -34,16 +35,16 @@ <h1 class="site-title mb-0">Akshatha Mohan</h1>
<ul class="nav justify-content-center">
<li class="nav-item"><a class="nav-link" href="#about" title="About"><span class="menu-title">About</span></a>
</li>
</li>
<li class="nav-item"><a class="nav-link" href="#references" title="Publications"><span class="menu-title">Publications</span></a>
</li>
<li class="nav-item"><a class="nav-link" href="#skills" title="Skills"><span class="menu-title">Skills</span></a>
</li>
<li class="nav-item"><a class="nav-link" href="#experience" title="Experience"><span class="menu-title">Experience</span></a>
</li>
<li class="nav-item"><a class="nav-link" href="#education" title="Education"><span class="menu-title">Education</span></a>
</li>
<li class="nav-item"><a class="nav-link" href="#portfolio" title="Projects"><span class="menu-title">Projects</span></a>
</li>
<li class="nav-item"><a class="nav-link" href="#references" title="Publications"><span class="menu-title">Publications</span></a>
</li>
<li class="nav-item"><a class="nav-link" href="#contact" title="Contact"><span class="menu-title">Contact</span></a>
</li>
</ul>
Expand All @@ -57,25 +58,28 @@ <h1 class="site-title mb-0">Akshatha Mohan</h1>
<div class="resume-container">
<div class="shadow-1-strong bg-white my-5" id="intro">
<div class="bg-info text-white">
<div class="cover bg-image"><img src="images/header-background.jpg"/>
<div class="mask" style="background-color: rgba(0, 0, 0, 0.7);backdrop-filter: blur(2px);">
<div class="cover bg-image"><img src="images/Designer (1).jpeg"/>
<div class="mask" style="background-color: rgba(87, 81, 81, 0.7);backdrop-filter: blur(1px);">
<div class="text-center p-5">
<div class="avatar p-1"><img class="img-thumbnail shadow-2-strong" src="images/avatar.jpg" width="160" height="160"/></div>
<div class="avatar p-1"><img class="img-thumbnail shadow-2-strong" src="images/avatar.jpg" width="180" height="180"/></div>
<div class="header-bio mt-3">
<div data-aos="zoom-in" data-aos-delay="0">
<h2 class="h1">Akshatha Mohan</h2>
<p>Masters student at Texas A&M University</p>
</div>
<div class="header-social mb-3 d-print-none" data-aos="zoom-in" data-aos-delay="200">
<nav role="navigation">
<ul class="nav justify-content-center">
<li class="nav-item">
<a class="nav-link" href="https://www.linkedin.com/in/akshatha-mohan-495972188/" title="LinkedIn">
<i class="fab fa-linkedin"></i>
<span class="menu-title sr-only">LinkedIn</span>
<a class="nav-link" href="https://www.linkedin.com/in/akshatha-mohan-495972188/" title="LinkedIn" target="_blank">
<i class="fab fa-linkedin" style="font-size: 2rem; color: #e6e9eb;"></i>
<span class="menu-title sr-only">LinkedIn</span>
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="https://github.com/Akshatha-Mohan" title="Github" target="_blank">
<i class="fab fa-github" style="font-size: 2rem; color: #f8f5f5;"></i>
<span class="menu-title sr-only">Github</span>
</a>
</li>
<li class="nav-item"><a class="nav-link" href="https://github.com/Akshatha-Mohan" title="Github"><i class="fab fa-github"></i><span class="menu-title sr-only">Github</span></a>
</li>
</ul>
</nav>
Expand All @@ -91,50 +95,76 @@ <h2 class="h1">Akshatha Mohan</h2>
<div class="about-section">
<h2 class="h2 fw-light mb-4">About Me</h2>
<p class="intro">
<p> I am a Computer Engineering graduate student at Texas A&M University, specializing in Machine Learning and
Computer Vision. My passion lies in applying cutting-edge AI techniques to solve real-world problems, particularly in the realms of remote sensing and biomedical imaging. As a Machine Learning Researcher at Texas A&M's Advanced Vision and Learning Lab, I've been at the forefront of pioneering
Explainable AI (XAI) methods for remote sensing applications. My work has significantly boosted the interpretability of complex ML models, increasing decision-making efficacy in remote sensing by 66%. I've also developed efficient PyTorch data preprocessing pipelines for satellite datasets, achieving 95% model accuracy.</p>
<p> Currently, my research focuses on texture analysis in biomedical imaging, particularly examining lung cells and SEM images. I'm working on an innovative approach to differentiate between cells exposed to various chemicals and untreated cells. This involves generating lacunarity feature maps and calculating Earth Mover's Distance (EMD) loss to quantify the differences. This work builds upon my previous research on lacunarity pooling layers for plant image classification, which has been accepted at the 2024
IEEE/CVF Computer Vision and Pattern Recognition (CVPR) conference. Throughout my projects, I've leveraged cloud technologies, including AWS services like SageMaker, Bedrock, S3, and EC2, as well as Azure platforms such as
Data Factory and Databricks. This experience with cloud computing has enabled me to develop scalable and efficient solutions for complex machine learning tasks.</p>
<p> I am a Machine Learning Research Assistant at Texas A&M University's <a href="https://avll.engr.tamu.edu/" target="_blank">Advanced Vision and Learning Lab</a>. I am pursuing my M.S. in Computer Engineering at Texas A&M University, where I focus on developing advanced computer vision algorithms and deep learning models for complex data analysis.
Prior to my graduate studies, I earned my B.E. in Electronics and Communication from Bangalore Institute of Technology.
I have professional experience as an Android Security Software Engineer at Ittiam Systems Private Limited and as a Computer Vision Intern at EngineCAL.</p>

<p> My research interests lie in developing and applying advanced computer vision and machine learning techniques to solve complex problems in biomedical imaging and environmental health.
I have published work on explainable AI for remote sensing image classification at IEEE IGARSS 2023 and on novel pooling techniques for improved image classification at the 2024 IEEE/CVF CVPR Vision for Agriculture Workshop.
I am passionate about leveraging AI to advance biomedical imaging and computational biology.</p>


</div>


</div>
</div>
<div class="shadow-1-strong bg-white my-5 p-5" id="skills">
<div class="skills-section">
<div data-aos="fade-right" data-aos-delay="100">
<h2 class="h2 fw-light mb-4">Skills</h2>
<div class="skills-category">
<h4>Programming Languages</h4>
<p>C, C++, Python, R, SQL, Bash, CUDA, Linux, Unix, Perl, Data Structures and Algorithms, node.js</p>

<div class="shadow-1-strong bg-white my-5 p-5" id="publications">
<div class="publications" data-aos="fade-left" data-aos-delay="100">
<h2 class="h2 fw-light mb-4">Publications</h2>
<div class="publications-list">

<div class="publication-item">
<h3 class="publication-title">
Texture Analysis of Lung Cell Morphology After Nanoparticle Exposure
</h3>
<p class="publication-authors"><strong>A. Mohan</strong>, T. Jefferis, C. Sayes, J. Peeples</p>
<p class="publication-details">SPIE Conference Proceedings, 2024 (Under Review)</p>
<p class="publication-description">
Introduced a novel method for quantifying and analyzing cellular texture changes caused by nanoparticle exposure using advanced texture features like lacunarity and fractal dimension. We applied this technique to scanning electron microscopy (SEM) images of lung cells exposed to various nanoparticles, including nickel oxide, crystalline silica, isocyanate, and silver.
</p>
</div>
<div class="skills-category">
<h4>Frameworks/Libraries</h4>
<p>Tensorflow, Pytorch, Pytorch Lightning, Keras, Numpy, Matplotlib, Pandas, Seaborn, SciPy, XGBoost, Scikit-learn, BeautifulSoup, PowerBI, Tableau, LangChain</p>

<div class="publication-item">
<h3 class="publication-title">
<a href="https://arxiv.org/pdf/2407.21652" target="_blank">Spatial Transformer Network YOLO Model for Agricultural Object Detection</a>
</h3>
<p class="publication-authors">Y. Zambre, E. Rajkitkul, <strong>A. Mohan</strong>, J. Peeples</p>
<p class="publication-details">Under Review</p>
<p class="publication-description">Proposed an innovative integration of Spatial Transformer Networks (STNs) with the YOLO object detection model to address challenges in cluttered and partially occluded images.</p>
</div>
<div class="skills-category">
<h4>Cloud Technologies</h4>
<p>AWS Sagemaker, AWS Bedrock, AWS S3, AWS EC2, AWS Athena, Azure Data Factory, Azure AI Fundamentals (Certified), Azure Databricks, Snowflake, Hadoop, Apache Spark</p>


<div class="publication-item">
<h3 class="publication-title">
<a href="https://arxiv.org/abs/2404.16268" target="_blank">Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis</a>
</h3>
<p class="publication-authors"><strong>A. Mohan</strong> and J. Peeples</p>
<p class="publication-details">2024 IEEE/CVF Computer Vision and Pattern Recognition Vision for Agriculture Workshop (Accepted)</p>
<p class="publication-description">Introduced a novel pooling technique to improve plant image classification by leveraging texture information.</p>
</div>
<div class="skills-category">
<h4>Professional Software/Technology</h4>
<p>OpenCV, MATLAB, Git (Version Control System), Data Visualization, NLP, Natural Language Processing</p>

<div class="publication-item">
<h3 class="publication-title">
<a href="https://arxiv.org/abs/2306.04037" target="_blank">Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification</a>
</h3>
<p class="publication-authors"><strong>A. Mohan</strong> and J. Peeples</p>
<p class="publication-details">2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)</p>
<p class="publication-description">Conducted a comprehensive analysis of XAI methods for improving interpretability in remote sensing applications.</p>
</div>

<div class="publication-item">
<h3 class="publication-title">
<a href="https://ieeexplore.ieee.org/abstract/document/9760577" target="_blank">Generation of Netlist from a Hand drawn Circuit through Image Processing and Machine Learning</a>
</h3>
<p class="publication-authors"><strong>Akshatha Mohan</strong>, A. Mohan, B Indushree, M Malavikaa, CP Narendra</p>
<p class="publication-details">2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)</p>
<p class="publication-description">Developed an innovative approach to convert hand-drawn circuits into netlists using image processing and machine learning techniques.</p>
</div>
</div>
</div>




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</div>
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<div class="shadow-1-strong bg-white my-5 p-5" id="experience">
<div class="work-experience-section">
<h2 class="h2 fw-light mb-4">Work Experience</h2>
Expand All @@ -150,7 +180,9 @@ <h2 class="h2 fw-light mb-4">Work Experience</h2>
<li>
<b>Thesis: Novel Pooling Layer Integration in Deep Neural Networks </b>
<ul>
<li> My research focuses on improving the way computers recognize different types of plants and diseases from images. We created a new technique called "lacunarity pooling" that helps capture detailed patterns in images more effectively than traditional methods.</li>
<li> My research focuses on improving the way computers recognize biological and environmental textures in images. We created a new technique called "lacunarity pooling" that helps capture detailed patterns in images more effectively than traditional methods.</li>
<li>Currently collaborating with Baylor University <a href="https://www.thesayesgroup.com/">Dr. Sayes group </a> to apply lacunarity for lung cell SEM images. </li>
</ul>
</ul>
</li>
<br><br>
Expand Down Expand Up @@ -331,31 +363,36 @@ <h3>Facial Recognition using the Viola-Jones Algorithm</h3>

</div>
</div>

<div class="shadow-1-strong bg-white my-5 p-5" id="references">
<div class="reference-section">
<h2 class="h2 fw-light mb-4">Publications</h2>
<div data-aos="fade-left" data-aos-delay="100">
<div id="publications">
<ul id="publication-list">
<li class="publication-item">
<h3><a href="https://arxiv.org/abs/2404.16268">"Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis"</a></h3>
<p class="publication-details">Accepted at 2024 IEEE/CVF Computer Vision and Pattern Recognition Vision for Agriculture Workshop</p>
</li>
<li class="publication-item">
<h3><a href="https://arxiv.org/abs/2306.04037">"Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification"</a></h3>
<p class="publication-details">Accepted to 2023 IGARSS Community-Contributed Sessions - Opening the Black Box: Explainable AI/ML</p>
</li>
<li class="publication-item">
<h3><a href="https://ieeexplore.ieee.org/abstract/document/9760577">"Generation of Netlist from a Hand drawn Circuit through Image Processing and Machine Learning"</a></h3>
<p class="publication-details">Presented at the 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)</p>
</li>
</ul>


<div class="shadow-1-strong bg-white my-5 p-5" id="skills">
<div class="skills-section">
<div data-aos="fade-right" data-aos-delay="100">
<h2 class="h2 fw-light mb-4">Skills</h2>
<div class="skills-category">
<h4>Programming Languages</h4>
<p>C, C++, Python, R, SQL, Bash, CUDA, Linux, Unix, Perl, Data Structures and Algorithms, node.js</p>
</div>
<div class="skills-category">
<h4>Frameworks/Libraries</h4>
<p>Tensorflow, Pytorch, Pytorch Lightning, Keras, Numpy, Matplotlib, Pandas, Seaborn, SciPy, XGBoost, Scikit-learn, BeautifulSoup, PowerBI, Tableau, LangChain</p>
</div>
<div class="skills-category">
<h4>Cloud Technologies</h4>
<p>AWS Sagemaker, AWS Bedrock, AWS S3, AWS EC2, AWS Athena, Azure Data Factory, Azure AI Fundamentals (Certified), Azure Databricks, Snowflake, Hadoop, Apache Spark</p>
</div>
<div class="skills-category">
<h4>Professional Software/Technology</h4>
<p>OpenCV, MATLAB, Git (Version Control System), Data Visualization, NLP, Natural Language Processing</p>
</div>
</div>

</div>
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<script src="script.js"></script>
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<div class="shadow-1-strong bg-white my-5 p-5" id="contact">
<div class="contant-section">
<h2 class="h2 fw-light text mb-4">Contact</h2>
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