AI Architecture PhD Candidate

Daniel P.

I completed my undergraduate degree in Computer Engineering, with a focus on AI and computer architecture. During my undergraduate, I took computer science classes, such as data structures and algorithms and object oriented programming, to Electrical engineer classes such as linear circuits and embedded systems. Combining these two disciplines formed my overall computer engineering degree with electives focused on hardware design, AI, and architecture.

I am currently working on my PhD in computer engineering, conducting research on hardware acceleration for AI applications. I have finished my first year, and currently have some publications in the review stage. In my PhD, while I do take classes involving higher level topics, I learn the most through my research, reading published papers, designing simulators and performance models, and technical writing.

In addition to my academic background, I have experience tutoring, having previously offered private lessons in high school-level math. I also served as the president of UCF's ACM chapter, an international organization for computer science and engineering, where I organized and led workshops covering a wide range of topics within the electrical engineering, computer engineering, and computer science domains. My tutoring style focuses on a learn and apply method. I like to first introduce a new topic with an example problem, completing it for the student and detailing how to think through the problem. I then Do a problem along with the student, allowing them to work through and assisting them when they may get stuck. Finally, I continue to go through problems with the student, slowly assisting less and less as they grasp the concept.