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amelia.html
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amelia.html
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<!DOCTYPE html>
<html lang="en" class="no-js">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Saidur Rahman</title>
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<meta name="description" content="Leven - Resume / CV / vCard Template" />
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<div class="logo-text">Saidur <span>Rahman</span></div>
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<h4>Computer Science</h4>
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<h2>Augmenting Human Cognition with Collaborative Robots</h2>
<h3>AugMEnted Learning InnovAtion (AMELIA)</h3>
<p>Collaborative robotics is a growing application space in robot technology used in manufacturing, mining, construction, and energy industrial settings. This convergence research project will contribute new knowledge and theory of Human-Computer Interaction and Human-Robot Interaction, by augmenting human cognition for safer and more efficient collaborative robot interaction.</p>
<p> To meet these goals, the team of researchers planned to:</p>
<ul>
<li>develop a novel HRI task/scenario classification scheme in collaborative robotics environments vulnerable to observable systems failures</li>
<li>establish fundamental neurophysiological, cognitive, and socio-behavioral capability models (e.g., workload, cognitive load, fatigue/stress, affect, and trust) during these HRI (i.e., the mind motor machine nexus)</li>
<li>use these models to determine when and how a human’s cognitive, social, behavioral and environmental states require adjustment via technology to enhance HRI for efficient and safe work performance; and finally</li>
<li>create an innovative and transformative Work 4.0 architecture (AMELIA: AugMEnted Learning InnovAtion) that includes a layer of augmented reality for human and robots to mutually learn and communicate current states.</li>
</ul>
</ul>
<p> The team proposed a novel communication scheme using artificial emotional intelligence in which robots and humans collaborate in potentially dangerous situations. The robot will detect the worker’s “cognitive state” using different machine learning techniques, and then take the appropriate action. Ultimately AMELIA seeks to empower the worker to focus on complex, cognitive problem-solving tasks, performed safely and efficiently, while ensuring that it adapts to both the worker's attitudes and cognitive states.</p>
<h3>Edge Services</h3>
<p> We employed MicroLambda, an edge-based framework, to develop real-time cognitive workload prediction and speed
reduction interventions. Real-time tasks need high-speed and responsive services, which are very challenging due to the higher task processing and communication time. Edge computing is a technology where the edge servers are deployed very near to the user.</p>
<h3>Publications</h3>
<ul>
<li>
<h4 class="item-title"><a href="https://dl.acm.org/doi/abs/10.1145/3536221.3556582">Emotions Matter: Towards Personalizing Human-System Interactions Using a Two-layer Multimodal Approach</a></h4>
</li>
<li>
<h4 class="item-title"><a href="https://ieeexplore.ieee.org/abstract/document/9855008">Dynamic Checkpoint Initiation in Serverless MEC</a></h4>
</li>
<li>
<h4 class="item-title"><a href="https://ieeexplore.ieee.org/abstract/document/9659216">Short and Sweet Checkpoints for C-RAN MEC</a></h4>
</li>
</ul>
<h3>Demo Video:</h3>
<iframe width="500" height="350"
src="https://www.youtube.com/watch?v=QatgnqdF5ig">
</iframe>
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<h4>Research (Edge Computing)</h4>
<ul>
<li>Real-time Edge Services</li>
<li>Edge based Serverless Platform</li>
<li>Edge based 5G Scheduling</li>
<li>Edge based Machine Learning Services</li>
<li>Edge based Mixed Reality Services</li>
<li>Edge based Industry Applications</li>
</ul>
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<h4>Network, Infrustracture & Software Development</h4>
<ul>
<li>Worked on <b>Domain Name System</b></li>
<li>Worked different Cloud services such as <b>AWS EC2, AWS Greengrass, AWS lambda, AWS SNS, AWS SQS, AWS S3, Google Cloud</b></li>
<li>Implemented different distributed algorithms such as <b> Raft, Blockchain (Proof of work, Proof of stake)</b></li>
<li>Worked on different Serverless Platform such as <b> AWS Serverless, AWS Lambda, Docker Container based OpenFaaS, Kubernetes based OpenFaaS</b></li>
<li>Worked on different databases: <b>Redis, MongoDB, Postgres SQL, Realm, RethinkDB, Apache MySQL, Dynamo DB, Google Pub Sub</b></li>
<li>Programming Skill: <b>Python, C/C++, NodeJS, Java, Web language(HTML, PHP, Javascript), Mobile Platform(React-Native)</b></li>
<li>Problem Solving Platform:</li>
<ul>
<li><b>LeetCode (Current Platform)</b>: <a href="https://leetcode.com/rifathcsedu/">rifathcsedu</a></li>
<li>UVA: <a href="https://uhunt.onlinejudge.org/id/136826">rifath_csedu</a></li>
<li>CodeForces: <a href="https://codeforces.com/profile/sr.rifat">sr.rifat</a></li>
<li>Code Chef: <a href="https://www.codechef.com/users/rifath_csedu">rifath_csedu</a></li>
</ul>
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<h4>Ecommerce</h4>
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<span class="lm-info-block-value">578</span>
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<h4>Working Hours</h4>
<span class="lm-info-block-value">4,780</span>
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<span class="lm-info-block-value">15</span>
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<h4>Coffee Consumed</h4>
<span class="lm-info-block-value">1,286</span>
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<span>$64</span>
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<span>$128</span>
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<span>$256</span>
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