SHI SRP 25-26 Profiles

Profile pages for Sustainable Horizons Institute SRP 25-26 Student Matching Workshop participants.


Samuel Ajuwon

Samuel Ajuwon

he/him

Morgan State University

Electrical and Computer Engineering

Biography

I am a Results-driven professional currently pursuing a graduate degree in Electrical and Computer Engineering with a focus on Artificial Intelligence, Data Science, Computer Vision, and Deep Learning. With robust hands-on software development experience and proven technical versatility, I am eager to leverage my programming and computational expertise in a Summer 2026 internship role.

Academic Status

PhD Student - 1st

Research Area/Department

Data Science; Machine Learning/AI; other

Major/Specialty

I specialize in computer vision with an interest in deep learning and timeseries

Degrees Earned or in Progress

I had my undergraduate degree in Mechanical Engineering and I am currently at Morgan State for my PhD in Electrical and Computer Engineering

Academic Preparation

I have taken courses in Computer Vision, Artificial Intelligence and Machine Learning, Machine Learning Applications

Research/Publications

Listed below are my research publications Towards an Optimal Wind Energy Harvest for EV Charging Station: Design of the Data Acquisition System and Aerodynamic Modeling of HVAWT Blade. August 2020 Machine learning and Blockchain approaches for enhancing fraud prevention in financial transactions. July 2025

Research/Academic Interests

I have interest in Computer Vision, deep learning, Convolution neural networks, and also Robotics.

Computational and Data Science Areas

Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Informatics, Analytics and Information Science; Other Computer and Information Sciences; Other Engineering and Technologies; Visualization and Human-Computer Systems

Motivation

I am eager to participate in Sustainable Research Pathways because I am deeply committed to advancing equitable and innovative approaches in science and technology. The program’s mission to foster inclusive communities resonates strongly with me, as I have seen firsthand how diverse perspectives drive more creative and robust solutions. I hope to engage meaningfully with faculty, peers, and professionals through the summer project experience, contributing my skills while learning from others. Beyond technical growth, I aim to build lasting connections within the community, gain mentorship in navigating research pathways, and explore applications of AI in impactful ways. Ultimately, I want to leverage this experience to advance research that not only pushes scientific boundaries but also ensures accessibility, representation, and benefit for all communities.

Lightning Talk Title

Training Intelligent Neural Networks for Real-World Vision Applications

Keywords (Maximum 20 words)

Artificial Intelligence; Computer Vision; Deep Learning; Machine Learning; Convolutional Neural Networks; AI for Cybersecurity;Intelligent Systems; Robotics; Trustworthy AI