B.S. Candidate, Computer Engineering
University of Connecticut, School of Engineering
Signal Processing Engineer Undergraduate Assistant
UConn IO Psychology Lab & NIUVT
- Email: [email protected]
- Resume: Resume
- GitHub: artjsalina5
- LinkedIn: Arturo Salinas-Aguayo
- Transcript: Unofficial transcript
University of Connecticut (UConn)
Bachelor of Science in Computer Engineering
Expected Graduation: Class of 2027
- Dean’s List: Fall 2023, Spring 2024, Summer 2024
The training regimen for U.S. Navy nuclear personnel, encompassing enlisted sailors and officers, is among the most rigorous and comprehensive in the military. My background in nuclear electronics includes the following steps:
-
Nuclear Field A-School
Completed fundamental technical training in Electronics Technician as preparation for nuclear reactor operations. -
Nuclear Power School (NPS)
Attended a six-month intensive program in Charleston, SC, covering mathematics, physics, chemistry, nuclear reactor theory, and thermodynamics, with a focus on nuclear science and reactor operation. -
Nuclear Power Training Unit (NPTU)
Underwent hands-on training at an operational nuclear reactor facility, applying theoretical knowledge to practical scenarios. -
Onboard Training and Qualification
After the NPTU, served on nuclear-powered submarines, including the fast attack submarine fleet, and qualified on the S9G reactor plant as a supervisory reactor operator. This involved rigorous exams and practical demonstrations of competence in managing the ship’s reactor department.
Developing a real-time stress monitoring system using physiological sensors, such as Empatica E4 and Hexoskin. The project involves multiplexing signals from various digital human monitoring devices, including ECG, HRV, and respiratory rate estimation. Reverse-engineered Bluetooth HLE bitstreams are processed in real-time on ESP32 RTOS, with integration of tensor processing hardware for predictive analytics. The system is designed for submarine training environments, providing holistic crew health status by fusing multiple physiological sensor inputs.
Creating a multi-microphone and camera-based rehearsal tool to capture, synchronize, and process rehearsal sessions for playback, analysis, and educational feedback on a web platform. The tool includes a data fusion system to combine audio and video streams, allowing conductors and section leaders to identify and highlight problem areas. Designed to enhance rehearsal efficiency, the system integrates features for feedback, session review, and section-specific streams for focused rehearsal improvement.
Utilized FPGAs from Lattice and Cologne Chip to develop expertise in digital design, look-up tables, and driver development. This project focused on understanding low-level hardware design principles and signal processing using FPGA technology, contributing to efficient hardware integration in complex systems.
Leveraged the StarFive VisionFive2 SBC to explore RISC-V 64-bit ISA and compiler development. This project involved low-level system design and embedded systems programming, focusing on building compilers and optimizing the RISC-V architecture for performance in real-world applications.
UConn IO Psychology Lab & NIUVT
- Assisting with real-time data processing and signal analysis.
- Collaborating on research projects involving physiological and behavioral data.
- Implementing signal processing algorithms for stress detection and other health-related metrics.
Qualified on fast attack nuclear submarines and S9G reactor plant as a supervisor.
- Supervised complex electronics systems, ensuring safe and effective operation.
- Developed expertise in handling high-pressure environments and maintaining critical infrastructure.
In addition to my academic and professional pursuits, I am an active trombonist and arranger. I play in several local bands and am in demand as a performer and arranger throughout Southeast Connecticut and Rhode Island in commercial and classical idioms.
- Programming Languages: C, Python, MATLAB, Verilog, VHDL, CUDA C, lua, Bash, RISC-V Assembly, Vimscript, LaTeX
- Tools & Platforms: Git, Neovim, Termux, LogicWorks, ESP32 RTOS, Docker, Visual Studio, PowerShell
- Signal Processing: ECG, BVP, EDA analysis; real-time data visualization in 3D using raytracing
- Hardware: Tensor processing hardware, FPGA development, Bluetooth HLE bitstream reverse engineering, I2C, UART, JTAG protocols
- Systems Engineering: UNIX, Embedded systems, Parallel Processing
- Standards: Knowledge of ANSI, ISO, POSIX standards
Fall 2024 Courses:
- CSE 2301: Principles of Digital Logic Design
- CSE 3100: Systems Programming
- MATH 2110Q: Multivariable Calculus
Recent Completed Courses:
- CSE 2050: Data Structures and Object-Oriented Design
- MATH 1132Q: Calculus II
- PHIL 1104: Philosophy and Social Ethics
- PHYS 1230: General Physics Problems
You can find my unofficial transcript here.
- Dean's List: ACES (Fall 2023), Engineering (Spring 2024), Engineering (Summer 2024)
- Good Standing: Consistently maintaining a 3.976 GPA
For more information on my projects, skills, or to get in touch, feel free to connect on LinkedIn.