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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Elliott John Mitchell | Neuroinformatics Researcher & Neural Dynamics</title>
<meta name="description" content="Researcher in Neural Dynamics of Perceptually Aligned AI. Research focus: Brain-Computer Interfaces, Oscillatory Entrainment, EEG Signal Processing.">
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<h1 class="name" title="Elliott John Mitchell">Elliott John Mitchell</h1>
<p class="title">Neuroinformatics Researcher</p>
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<p class="contact-title">Email</p>
<a href="mailto:elliott.mitchell10@gmail.com" class="contact-link">elliott.mitchell10@gmail.com</a>
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<a href="tel:+447883338618" class="contact-link">+44 7883 338618</a>
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<p class="contact-title">Degree</p>
<span>BA (Hons) Music Performance, Business, and Production — First Class Honours</span>
</div>
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<p class="contact-title">Location</p>
<address>Rotherham, UK</address>
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<div class="main-content">
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<button class="navbar-link active" data-nav-link>About</button>
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<button class="navbar-link" data-nav-link>Contact</button>
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</nav>
<!-- ABOUT -->
<article class="about active" data-page="about">
<header>
<h2 class="h2 article-title">About Me</h2>
</header>
<section class="about-text">
<p>
I am a neuroinformatics researcher specialising in <strong>brain-computer interfaces</strong>, <strong>neural dynamics</strong>, and <strong>perceptually-aligned AI systems</strong>. My work bridges computational neuroscience with deep learning to build AI that perceives temporal structure through oscillatory dynamics—the same mechanisms humans use to process rhythm, music, and motion.
</p>
<p>
As founder of <strong>DedAI-Neurodynamics</strong>, I developed a computational framework implementing Neural Resonance Theory models (ASHLE, GrFNN) for real-time rhythm perception, achieving <strong>94.37% Phase-Locking Value retention</strong> in trained TCN surrogates. My research has been presented at <strong>Queen Mary University of London's DMRN+18</strong> conference, and I have consulted with <strong>Dr. Marcus Pearce (QMUL)</strong> on music cognition methodology.
</p>
<p>
I hold a <strong>First Class Honours</strong> degree from the University of Westminster, where I conducted EEG research examining differential emotional processing between musicians and non-musicians. I am now seeking to pursue doctoral research in neural dynamics of perception and perceptually-grounded AI.
</p>
</section>
<section class="service">
<h3 class="h3 service-title">Research Interests</h3>
<ul class="service-list">
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/ai-icon.svg" alt="Neural Dynamics Icon" width="80">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Neural Dynamics</h4>
<p class="service-item-text">
Oscillatory entrainment and synchronization mechanisms underlying perception of temporal structure in auditory and visual stimuli.
</p>
</div>
</li>
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/web-development-icon.svg" alt="BCI Icon" width="80">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Brain-Computer Interfaces</h4>
<p class="service-item-text">
Real-time EEG signal processing for closed-loop systems mapping cognitive biomarkers to computational parameters.
</p>
</div>
</li>
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/music-production-icon.svg" alt="Cross-modal Icon" width="80">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Cross-Modal Perception</h4>
<p class="service-item-text">
Multimodal signal processing and self-supervised learning for cross-modal representation between auditory and visual domains.
</p>
</div>
</li>
<li class="service-item">
<div class="service-icon-box">
<img src="./assets/images/research-icon.svg" alt="Perceptual AI Icon" width="80">
</div>
<div class="service-content-box">
<h4 class="h4 service-item-title">Perceptually-Aligned AI</h4>
<p class="service-item-text">
Building AI systems grounded in biophysical models of human perception using physics-informed neural networks.
</p>
</div>
</li>
</ul>
</section>
<!-- PUBLICATIONS HIGHLIGHT -->
<section class="testimonials">
<h3 class="h3 testimonials-title">Publications & Presentations</h3>
<ul class="testimonials-list has-scrollbar">
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/paper.png" alt="DedAI Paper" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>DedAI: AI-Driven Music Composition (2024)</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Advanced AI-Driven Music Composition Informed by EEG-Based Emotional Analysis. Undergraduate Research Paper, University of Westminster.
</p>
</div>
</div>
</li>
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/demo.png" alt="EEG Study" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>EEG Study: Musicians vs Non-Musicians (2024)</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Measuring Music's Emotional Impact with EEG: A Study on Musicians and Non-Musicians. Research Thesis, University of Westminster. Supervisor: Dr. Jasmine Taylor.
</p>
</div>
</div>
</li>
<li class="testimonials-item">
<div class="content-card" data-testimonials-item>
<figure class="testimonials-avatar-box">
<img src="./assets/images/DMRN.png" alt="DMRN+18" width="60" data-testimonials-avatar>
</figure>
<h4 class="h4 testimonials-item-title" data-testimonials-title>DMRN+18 @ Queen Mary (2023)</h4>
<div class="testimonials-text" data-testimonials-text>
<p>
Orchestrating Emotions: The Intersection of AI, Neuroscience & Music. 20-minute invited talk at Digital Music Research Network Conference, Queen Mary University of London.
</p>
</div>
</div>
</li>
</ul>
</section>
<div class="modal-container" data-modal-container>
<div class="overlay" data-overlay></div>
<section class="testimonials-modal">
<button class="modal-close-btn" data-modal-close-btn>
<ion-icon name="close-outline"></ion-icon>
</button>
<div class="modal-img-wrapper">
<figure class="modal-avatar-box">
<img src="./assets/images/avatar-1.png" alt="Publication" width="80" data-modal-img>
</figure>
<img src="./assets/images/icon-quote.svg" alt="quote icon">
</div>
<div class="modal-content">
<h4 class="h3 modal-title" data-modal-title>Publication</h4>
<time datetime="2024-01-01">2024</time>
<div data-modal-text>
<p>
Research publication details.
</p>
</div>
</div>
</section>
</div>
<!-- KEY METRICS -->
<section class="clients">
<h3 class="h3 clients-title">Key Research Metrics</h3>
<ul class="clients-list has-scrollbar">
<li class="clients-item">
<div style="text-align: center; padding: 20px;">
<h4 style="font-size: 2em; color: #ffdb70; margin-bottom: 5px;">94.37%</h4>
<p style="font-size: 0.9em; color: #d6d6d6;">PLV Retention</p>
</div>
</li>
<li class="clients-item">
<div style="text-align: center; padding: 20px;">
<h4 style="font-size: 2em; color: #ffdb70; margin-bottom: 5px;"><50ms</h4>
<p style="font-size: 0.9em; color: #d6d6d6;">Real-time Latency</p>
</div>
</li>
<li class="clients-item">
<div style="text-align: center; padding: 20px;">
<h4 style="font-size: 2em; color: #ffdb70; margin-bottom: 5px;">r=0.91</h4>
<p style="font-size: 0.9em; color: #d6d6d6;">Cross-modal Correlation</p>
</div>
</li>
<li class="clients-item">
<div style="text-align: center; padding: 20px;">
<h4 style="font-size: 2em; color: #ffdb70; margin-bottom: 5px;">14-ch</h4>
<p style="font-size: 0.9em; color: #d6d6d6;">EEG Channels</p>
</div>
</li>
</ul>
</section>
</article>
<!-- RESUME -->
<article class="resume" data-page="resume">
<header>
<h2 class="h2 article-title">Resume</h2>
</header>
<!-- EDUCATION -->
<section class="timeline">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="school-outline"></ion-icon>
</div>
<h3 class="h3">Education</h3>
</div>
<ol class="timeline-list">
<li class="timeline-item">
<h4 class="h4 timeline-item-title">BA (Hons) Music Performance, Business, and Production — First Class Honours</h4>
<span>University of Westminster | 2021 – 2024</span>
<p class="timeline-text">
<strong>Focus:</strong> Music Technology, Digital Signal Processing, Computational Neuroscience<br>
<strong>Final Project:</strong> DedAI — AI-driven music composition system using real-time EEG signal processing<br>
<strong>Relevant Modules:</strong> Digital Signal Processing, Audio Engineering, Psychoacoustics, Software Development
</p>
</li>
</ol>
</section>
<!-- RESEARCH EXPERIENCE -->
<section class="timeline">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="flask-outline"></ion-icon>
</div>
<h3 class="h3">Research Experience</h3>
</div>
<ol class="timeline-list">
<li class="timeline-item">
<h4 class="h4 timeline-item-title">DedAI-Neurodynamics — Founder & Lead Researcher</h4>
<span>2023 – Present</span>
<p class="timeline-text">
Developed a computational framework bridging Neural Resonance Theory and deep learning to build AI systems that perceive temporal structure through oscillatory dynamics.
</p>
<ul style="margin-top: 10px; padding-left: 20px; color: #d6d6d6;">
<li>Implemented <strong>ASHLE</strong> and <strong>GrFNN</strong> models for oscillatory entrainment and beat perception</li>
<li>Trained <strong>TCN surrogate</strong> with physics-informed loss achieving <strong>94.37% PLV retention</strong></li>
<li>Built closed-loop <strong>Brain-Computer Music Interface (BCMI)</strong> using Emotiv EPOC X with <strong><50ms latency</strong></li>
<li>Developed <strong>PyNRT</strong> — open-source Python Neural Resonance Theory Toolkit</li>
<li>Extended framework to <strong>cross-modal visual perception</strong> (r=0.91 correlation)</li>
<li>Created <strong>digital twin simulations</strong> of EEG hardware for algorithm prototyping</li>
</ul>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">EEG Study: Musicians vs Non-Musicians — Primary Investigator</h4>
<span>2023 – 2024</span>
<p class="timeline-text">
Conducted mixed-methods quasi-experimental study examining differential emotional processing of music using EEG. Grounded in Meyer's Expectancy Theory and Juslin & Västfjäll's BRECVEMA model.
</p>
<ul style="margin-top: 10px; padding-left: 20px; color: #d6d6d6;">
<li>Collected and analysed <strong>14-channel EEG data</strong> using Emotiv EPOC X; processed with MNE-Python</li>
<li>Found significant <strong>beta wave (12-30 Hz) differences</strong> in frontal regions (AF3, AF4, F3, F4, F7, F8)</li>
<li>Created visualisations: <strong>topographical brain maps</strong>, radar graphs, hierarchical edge bundling diagrams</li>
<li>Consulted with <strong>Dr. Marcus Pearce (QMUL)</strong> on methodology and theoretical framework</li>
<li>Obtained <strong>full ethics approval</strong> (ETH2324-0744) from University of Westminster</li>
</ul>
</li>
</ol>
</section>
<!-- PROFESSIONAL EXPERIENCE -->
<section class="timeline">
<div class="title-wrapper">
<div class="icon-box">
<ion-icon name="briefcase-outline"></ion-icon>
</div>
<h3 class="h3">Professional Experience</h3>
</div>
<ol class="timeline-list">
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Pinnacle Crew — Freelance Technical Lead</h4>
<span>2021 – 2024</span>
<p class="timeline-text">
Managed complex AV signal routing and spatial audio configuration for live events across London venues. Coordinated cross-functional technical crews under strict time constraints to ensure system stability and performance quality.
</p>
</li>
<li class="timeline-item">
<h4 class="h4 timeline-item-title">Macoral Services — AI & Web Development Consultant</h4>
<span>2022 – 2024</span>
<p class="timeline-text">
Developed and deployed a custom AI chatbot and quote calculator, achieving approximately 30% reduction in client response time. Translated complex technical requirements into accessible business tools for non-technical stakeholders.
</p>
</li>
</ol>
</section>
<!-- TECHNICAL SKILLS -->
<section class="skill">
<h3 class="h3 skills-title">Technical Skills</h3>
<div class="skills-list content-card" style="padding: 20px;">
<p style="margin-bottom: 12px; color: #d6d6d6;">
<strong style="color: #ffdb70;">Programming:</strong> Python (PyTorch, NumPy, SciPy, MNE-Python), C++ (Real-time DSP), JavaScript/TypeScript, MATLAB
</p>
<p style="margin-bottom: 12px; color: #d6d6d6;">
<strong style="color: #ffdb70;">Signal Processing:</strong> EEG acquisition, spectral analysis (FFT, wavelets), ICA, bandpass filtering, Phase-Locking Value computation, event-related potentials, oscillatory dynamics modelling
</p>
<p style="margin-bottom: 12px; color: #d6d6d6;">
<strong style="color: #ffdb70;">Machine Learning:</strong> Temporal Convolutional Networks (TCNs), Physics-Informed Neural Networks (PINNs), self-supervised learning, multimodal representation learning, generative models
</p>
<p style="color: #d6d6d6;">
<strong style="color: #ffdb70;">Tools & Platforms:</strong> Git, Docker, Jupyter, VS Code, React, Three.js, Node.js, Emotiv SDK, OpenBCI, PyVis, Matplotlib, librosa
</p>
</div>
</section>
</article>
<!-- PORTFOLIO -->
<article class="portfolio" data-page="portfolio">
<header>
<h2 class="h2 article-title">Portfolio</h2>
</header>
<section class="projects">
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<button data-filter-btn>Software</button>
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<div class="select-value" data-selecct-value>Select category</div>
<div class="select-icon">
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</li>
<li class="select-item">
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<img src="./assets/images/paper.png" alt="DedAI Research Paper" loading="lazy">
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<h3 class="project-title">DedAI: Advanced AI-Driven Music Composition Informed by EEG-Based Emotional Analysis</h3>
<p class="project-category">Research</p>
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<img src="./assets/images/demo.png" alt="DMRN+18 Talk at Queen Mary University of London" loading="lazy">
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<h3 class="project-title">DMRN+18: Orchestrating Emotions — The Intersection of AI, Neuroscience & Music</h3>
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<h3 class="project-title">DedAI — Neural Music Generation with EEG Integration</h3>
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<h3 class="project-title">PyNRT: Python Neural Resonance Theory Toolkit</h3>
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</article>
<!-- BLOG -->
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<a href="https://iamdedeye.com/">
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<time datetime="2024-01-01">2024</time>
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<h3 class="h3 blog-item-title">DedAI-Neurodynamics Project Website</h3>
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Updates on neural music generation research and beta access for the DedAI platform.
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<h3 class="h3 form-title">Get in Touch</h3>
<p style="color: #d6d6d6; margin-bottom: 20px;">
I am actively seeking PhD opportunities in neural dynamics, brain-computer interfaces, and perceptually-aligned AI.
Feel free to reach out to discuss potential collaborations or research opportunities.
</p>
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<p style="color: #d6d6d6; margin-bottom: 10px;"><strong style="color: #ffdb70;">Email:</strong> <a href="mailto:elliott.mitchell10@gmail.com" style="color: #ffdb70;">elliott.mitchell10@gmail.com</a></p>
<p style="color: #d6d6d6; margin-bottom: 10px;"><strong style="color: #ffdb70;">LinkedIn:</strong> <a href="https://www.linkedin.com/in/dedaeye" style="color: #ffdb70;">linkedin.com/in/dedaeye</a></p>
<p style="color: #d6d6d6; margin-bottom: 10px;"><strong style="color: #ffdb70;">GitHub:</strong> <a href="https://github.com/HawkSP" style="color: #ffdb70;">github.com/HawkSP</a></p>
<p style="color: #d6d6d6;"><strong style="color: #ffdb70;">Location:</strong> Rotherham, UK</p>
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<!-- REFERENCES -->
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<h3 class="h3 form-title">Academic References</h3>
<div style="padding: 20px; color: #d6d6d6;">
<p style="margin-bottom: 15px;">
<strong style="color: white;">Hussein Boon</strong> — Principal Lecturer, University of Westminster<br>
<span style="font-size: 0.9em;">Supervisor for Final Major Project; advised on DedAI development and recommended submission to DMRN+18.</span>
</p>
<p>
<strong style="color: white;">Dr Jasmine Taylor</strong> — Senior Lecturer, Westminster School of Arts<br>
<span style="font-size: 0.9em;">Supervised EEG research thesis: "Measuring Music's Emotional Impact with EEG: A Study on Musicians and Non-Musicians."</span>
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