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Samuel O

- Research Program Mentor

PhD candidate at University of Texas at Dallas

Expertise

Electrical and Computer Engineering, Prosthetics technology, Computer Science

Bio

I am Samuel Okei, a passionate Ph.D. candidate in Computer Engineering, currently immersed in groundbreaking research at UTD's Cochlear Implant Lab. My academic journey has been marked by a commitment to advancing technology, specializing in Python, C++, and Java. Beyond academia, my heart lies in fostering academic growth through tutoring and programming instruction. In the realm of personal interests, I find joy in diverse activities. Whether immersed in the captivating worlds of Anime and Video games, engaged in the strategic dynamics of Soccer, or participating in thought-provoking Debates, I embrace a well-rounded approach to life. My fascination with Ancient History further enriches my understanding of the world, adding a unique layer to my multifaceted persona.

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Enhancing AI for Edge Devices in IoT Applications

1. Introduction of Research Project In this high school research project, students will explore the intersection of artificial intelligence (AI) and Internet of Things (IoT) applications. The focus is on benchmarking modern-day microcontrollers and processors to explore their performance for machine learning tasks at the edge. The goal is to enhance the efficiency of AI implementations in everyday devices, making them smarter and more responsive to user needs. Potential Student Outcomes Research Paper: Produce a detailed research paper documenting findings, methodologies, and insights gained during the project. Or create prototypes of AI-enabled IoT devices with optimized microcontrollers based on benchmarking results.

Coding skills

Python, C++, C, C#, Java, JavaScript, HTML, XML, CSS, Verilog, MATLAB

Credentials

Education

Texas Tech University
BS Bachelor of Science (2020)
Computer Engineering
University of Texas at Dallas
MS Master of Science (2023)
Computer Engineering
University of Texas at Dallas
PhD Doctor of Philosophy candidate
Computer Engineering

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