John Sinanis
Hello all. My name is John Sinanis. I am an Electrical Engineering student at UCF utilizing the skills I've accumulated during my time on and off campus. Our group aims to redefine an idea that has been dabbled with marginally, regarding separating audio and modulating the individual portions. While this is a simple project and would not be able to facilitate the vast noises I could list, it will give educators a chance to isolate their point of interest for whatever that purpose may be. I could certainly use it if I wanted to play the guitar for a song I've been practicing by turning it off, or I could conversely keep the guitar on solely so I can learn the riff by ear. The average person could use it for karaoke. We are determined to make this project intuitive and user friendly where possible. I am good with my hands and I have always loved finding the solutions to various problems. This project is a great way to intertwine my top interests in a productive and meaningful way.After finishing this project, I hope to use everything I have learned during this experience in conjunction with my previous endeavors to work with Avionics or a discipline regarding troubleshooting with power systems.
Elian Seda-Figueroa
Hello, my name is Elian. I am a Computer Engineering candidate at UCF. My academic journey has equipped me with a strong foundation in computer science and ignited a genuine passion for the fascinating world of machine learning. Throughout my studies, I have actively engaged in groundbreaking research focused on the application of generative adversarial networks (GANs) to produce input images for neural networks and explore the robustness of these networks against adversarial attacks using the Adversarial Robustness Toolbox (ART). My ultimate goal is to apply the skills I have acquired to excel in systems engineering, leveraging the power of machine learning to drive innovation and efficiency in complex systems. Moreover, I envision a future in which I pursue a graduate degree to deepen my expertise in hardware-software artificial intelligence integration, and I aspire to share my knowledge by teaching machine learning techniques in practical applications.
Nathan Cherry
I am Nathan Cherry, an undergraduate student pursuing a Bachelor of Science degree in Electrical Engineering from the University of Central Florida. I am on the communications and signal processing track, which has allowed me to take more courses in these two sub-fields. Additionally, I have completed minors in Computer Science and Intelligent Robotic Systems. I am part of the Accelerated Bachelor to Master's program at UCF, which has allowed me to replace my senior-level electives with graduate-level courses. I plan to complete my undergraduate degree while simultaneously completing 12 credit hours of my Master's degree. Since 2018, I have been a part of the co-op program at Adjuvo Technologies, LLC. During my time here, I have worked as an electromechanical assembler, machinist, and mechanical and electrical engineering designer. My engineering work at Adjuvo Technologies has largely focused on embedded system design but also includes PCB, power system, and GUI design.
Mark Fritz
Hello, my name is Mark Fritz an undergraduate Computer Engineering Student at the University of Central Florida with a minor in Mathematics. I have a passion for singing as I was in choir and theater so I am excited for our AMB project to be potentially useful for people in these disciplines. During my time at UCF I had an internship from May 2022 - December 2022 with Intel Corp as a software Engineering intern working with Java to edit the automated Quality checking software used in the tools of wet etch semiconductor manufacturing. Given my background I hope to be useful to my team in the software and embedded sections of the project as these are the fields that I both have some experience in and that I am hoping to pursue after graduation. Eventually after a few years of working in the industry I hope to continue my education pursuing a Masters in Computer Engineering focusing probably on Machine Learning or Advanced Computer Architecture.
