Emmanuel Adebayo

Software Engineer & Applied Mathematician

PhD candidate specializing in Machine Learning, Computer Vision, and Full-Stack Development. Passionate about solving complex problems at the intersection of mathematics and technology.

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About Me

Hello! I'm Emmanuel

I'm a PhD candidate in Applied Mathematics at the University of Delaware with a strong foundation in software engineering and machine learning. My work bridges theoretical mathematics with practical applications in computer vision, image processing, and web development.

I specialize in developing innovative algorithms for inverse problems, particularly in medical imaging and signal processing. My research involves advanced techniques like Tikhonov Regularization and Haar Wavelets for solving ill-posed problems.

When I'm not researching or coding, I'm teaching calculus, mentoring students, and contributing to the graduate student community as Secretary of the African Graduate Student Organization.

Ph.D. in Applied Mathematics

University of Delaware

Expected May 2027

M.S. in Applied Mathematics

University of Delaware

Aug 2022 - May 2024 | GPA: 3.56/4.00

Technical Skills

Languages

Python JavaScript HTML5 CSS MATLAB SQL

Frameworks & Libraries

Node.js Express.js React.js EJS

ML & Data Science

Scikit-Learn Pandas NumPy OpenCV Matplotlib Seaborn

Tools & Technologies

Git & GitHub Postman MongoDB JWT Auth

Featured Projects

Book Review Application Backend

RESTful API for managing books and user reviews with secure JWT authentication, asynchronous operations, and route protection.

Node.jsExpress MongoDBJWT

View Source Code →

Blog Post Application

Full-stack blogging platform enabling users to write, view, and persist posts with dynamic EJS rendering and complete CRUD functionality.

Node.jsExpress EJSFile System

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Weather App & Forecast

Responsive web application fetching real-time weather and 5-day forecasts with dynamic icons, temperature conversions, and robust error handling.

JavaScriptHTML CSSOpenWeather API

View Source Code →

Image Compression & De-blurring

Advanced image processing using SVD for compression (78% size reduction) and Tikhonov Regularization for effective de-blurring without quality loss.

MATLABSVDTikhonov Regularization

View Documentation →

Mentor-Mentee Matching Algorithm

Collaborative development of a robust matching algorithm achieving 90% accuracy for optimal mentor-mentee pairings. Presented at Math Problems in Industry conference.

PythonMATLABOptimization

Learn More →

Fredholm Integral Equation Solver

Novel algorithm for solving highly ill-posed Fredholm Integral Equations using Haar Wavelets and Tikhonov Regularization. Applied to MRI data reconstruction.

MATLABHaar WaveletsMedical Imaging

View on MATLAB →

Experience

Graduate Research Assistant

National Institute of Health & University of Delaware

Fall 2023 & Fall 2024 | Baltimore, Newark

Developed novel algorithm for solving Fredholm Integral Equations of the Second Kind using Haar Wavelets and Tikhonov Regularization techniques
Published code implementation on MATLAB platform
Applied inverse problem-solving techniques to enhance MRI data reconstruction accuracy, improving diagnostic imaging precision

Graduate Teaching Assistant

University of Delaware

Aug 2022 – Present | Newark, DE

Delivered lectures and led problem-solving sessions in Calculus I–III, developing students' quantitative reasoning and applied mathematical thinking
Designed and implemented math modeling problems to strengthen computational and problem-solving skills during UD 2025 Summer Math Modeling Program
Mentored students in mathematical concepts and application techniques

Secretary

African Graduate Student Organization, University of Delaware

Sept 2024 - Present

Coordinate meetings, manage organizational records, and facilitate communication among executive board members and graduate student community
Organized cultural and academic events promoting professional development for international graduate students