Psu_cmpeng

Brown University

Providence, Rhode Island

Degree Program: Master of Science in Computer Science

Grade Point Average: 4.0

Dates: September 2023 to May 2025

Description: Study of Artificial Intelligence requires expertise in multiple discplines ranging from understanding of hardware, software, and algorithms. Since undergraduate, my interests have been in resource constrained computing. I have spent two years at Brown University in the Master of Science in Computer Science program to better prepare myself to tackle new challenges related to AI running on edge devices. My central focus of study at Brown University is split among two pathways: Artificial Intelligence and Computer Architecture.

In pursuit of the Artificial Intelligence pathway, I have taken Computing at Scale as a cross-registered student at Harvard University. This course offers a deep dive into machine learning technology and different novel approaches to optimize machine learning technology in areas including: energy efficiency, temporal efficiency, and cost. Additionally, I plan to take Hardware Architecture for Deep Learning in the Spring of 2025.

For my work in Computer Architecture, I have taken Embedded Microprocessor Design, Multiprocessor Synchronization, and Design of Computing Systems. Based on my success in these courses, I have been a Teaching Assitant for two Computer Architecture related courses, and I plan to be a Teaching Assitant for a third in the Spring 2025 semester.

Something I greatly appreciate about Brown University is the openess for students to design their own curriculum. As a result of this freedom, I have taken Real-Time Systems in the Music Department, which is a course in creative programming for real-time music applications. Additionally, I hope to take Digital Signal Processing in the Spring 2025 semester. Brown University has a term called “vagabonding”, which allows a student to attend courses without paying, but the course does not appear on their transcript. Because of my interest in music technology, I plan to vagabond a gradute course in the music department, Designing and Playing Alternate Controllers, in the Spring 2025 semester. The final project of this course is to design the hardware and software for an embedded electronic music controller to be used for performance.

Teaching Experience:

ENGN 2920F: Sensors and Actuators for Real Systems
Spring 2024

My responsibility as a Teaching Assistant for Sensors and Actuators for Real Systems was to assist 20 students with homework examples and all lab work. Labs included controlling a 2-D Plotter, a stepper motor, and a BLDC motor, all of which were completed on ST Microcontrollers using C. Other topics in the course include Kalman filters and radar systems.

ENGN 1640: Design of Computing Systems
Spring 2025

I am under agreement to be a Teaching Assistant for Design Computing Systems in the Spring 2025 semester. This course is a graduate level introduction to computer architecture including topics such as instruction set architecture, single-cycle processor design, pipeline processing, and hardware cache design. My responsibility is to assist students with lab exercises in Verilog with Cyclone FPGA boards.

ENGN 1630: Digital Electronics System Design
Fall 2024

As a Teaching Assistant for Digital Electronics System Design, I hold weekly office hours to assist 50 students with homework problems; additionally I grade all assignments. This is a graduate level course that focuses on topics including fundamentals of digital logic design, A-D conversion, binary arithmetic, and programmable logic.

Relevant Coursework:

COMPSCI 2420: Computing at Scale (at Harvard University)
CSCI 2340: Software Engineering
CSCI 1760: Multiprocessor Synchronization
ENGN 1650: Embedded Microprocessor Design
ENGN 1640: Design of Computing Systems
MUSC 1210: Seminar in Electronic Music: Real-Time Systems

The Pennsylvania State University

University Park, Pennsylvania

Degree Program: Bachelor of Science in Computer Engineering

Grade Point Average: 3.82

Distinction: Cum Laude

Dates: August 2017 to May 2021

Description: My journey in The Pennsylvania State University College of Engineering was quite wild. Initially, I started as a Mechanical Engineering major because of my background in CAD from high school. Then, I changed to be an Electrical Engineering major for really no reason at all. While I was in the Electrical Engineering pathway, I took an introductory computer science course, Programming for Engineers in C++. This was my first programming experience ever, and I instantly became interested in software. That semester I changed to the Computer Engineering degree and I never looked back.

At every level of coursework, I thoroughly enjoyed learning about the fundamental logic and structure of computing systems. My interests in embedded devices led me to take electives such as Microcomputer Laboratory and Microprocessors and Embedded Systems. Aspects of hardware and software design always seem like a puzzle to me, and I have always enjoyed the pursuit of solving it.

The Computer Engineering degree at The Pennsylvania State University requires that students take the introductory course pathway in three topics: Computer Engineering, Computer Science, and Electrical Engineering. As a result, students are required to take more coursework than other engineering degree programs. This may seem daunting, but taking course work in all three domains greatly impacted my thinking of how computing systems work. I truly believe that being exposed to all aspects of the development of computers has led to my interests in Computer Architecture.

Relevant Coursework:

CMPEN 473: Microcomputer Laboratory
CMPEN 472: Microprocessors and Embedded Systems
CMPEN 431: Introduction to Computer Architecture
CMPEN 417: Digital Design Using Field Programmable Devices
CMPEN 362: Communication Networks
CMPEN 331: Computer Organization and Design
CMPEN 270: Digital Design: Theory and Practice
CMPSC 473: Operating Systems Design and Construction
CMPSC 465: Data Structures and Algorithms
CMPSC 442: Artificial Intelligence
CMPSC 360: Discrete Mathematics for Computer Science
CMPSC 311: Introduction to Systems Programming
CMPSC 221: Objected Oriented Programming with Web-Based Applications
CMPSC 201: Programming for Engineers with C++
CMPSC 132: Programming and Computation II: Data Structures
CMPSC 131: Programming and Computation I: Fundamentals
EE 353: Signals and Systems: Continuous and Discrete-Time
EE 310: Electronics Circuit Design I
EE 210: Circuits and Devices
ME 440W: Mechanical Systems Design Project

The Pennsylvania State University

University Park, Pennsylvania

Degree Program: Bachelor of Arts in Music Technology

Grade Point Average: 3.82

Dates: August 2017 to May 2021

**Description:** Entering undergraduate, I had nearly 40 college credits transfer from a mixture of Advanced Placement and College in the High School coursework. I wanted a full four-year experience in college, so I decided that I would add a second degree in an area that I loved, music. Truthfully, I did not know much about music technology before I started the degree program. I chose the music technology degree because its requirements had the most overlap with my engineering degree, so I would in theory be able to complete it in four years. It did not take long before I fell in love with the field. After taking Fundamentals of Digital Audio with the late Dr. Mark Ballora, I became obsessed. Discovering the underlying technology that enabled some of my favorite artists like Disclosure to create their Grammy Award Nominated music instantly had me craving more. The Music Technology degree required more than math and music technology courses. As a student in the School of Music, I took all of the required music theory, music history, and aural skills courses. Additionally, I studied voice under Dr. Ted Christopher and I spent all four years in some combination of the Concert Choir and Glee Club under Dr. Christopher Kiver. These vocal experiences led me to participate in the Penn State Opera and travel the world to perform in venues such as the Lincoln Center and the Thomaskirche.

Relevant Coursework:

INART 258A: Fundamentals of Digital Audio
INART 50Z: The Science of Music
MUSIC 297: ROARs Lab
MUSIC 297: ROARs Lab
MUSIC 451: Computer Programming for Musicians
MUSIC 452: Computer Music Synthesis
MUSIC 453: Recording Studio Training
MUSIC 458: Electronic Music Composition
MUSIC 476W: B.A Senior Project
THEA 484: Sound Recording Techniques