I am an MS/Ph.D. student in the Electrical Engineering department at Rice University, where I work in Dr. Behnaam Aazhang's lab. My research focuses on developing mathematical frameworks for understanding and learning from neurological data. I am passionate about all things related to electrical engineering and frequently study topics outside my immediate field, including computer architecture (ask me about RISC-V sometime!) and quantum mechanics.
My hobbies include teaching and advising undergraduates in electrical engineering, reading (a lot), playing volleyball, and listening to music.
Jennifer Hellar
jenniferhellar@gmail.com
Rice: jlh24@rice.edu
MS/Ph.D. in Electrical Engineering • August 2020 - Present
Research focus: Signal processing and machine learning for neuroengineering problems in collaboration with experts in the Houston Medical Center.
B.S. in Electrical Engineering • summa cum laude • May 2019
Key Coursework: High Performance Computer Architecture; Computer Systems Architecture; Advanced VLSI Design; Digital Logic Design; Implementation of Digital Systems; Signals, Systems, and Learning; Random Signals; Physics of Sensors; Quantum Mechanics
Graduate Processor Architecture Intern • September 2019 - May 2020
Created an automated Python-based framework for compiling a suite of C benchmarks and extracting code size data (at the benchmark and function level) into a user-friendly Excel workbook. Compared ISA performance of RISC-V versus ARM using multiple toolchains. Proposed ISA extensions for RISC-V to improve code size for embedded benchmarks and estimated code size reductions with the extensions. Documented methods and findings in a detailed technical report.
Applications Engineering Intern • June 2019 - August 2019
Provided support to customers designing embedded systems with Octavo System-in-Package products. Performed failure analysis on failed production units, and documented the production test process.
Industrial Network Design & Consulting Intern • Summer 2018
Researched Power Line Communications technology. Initiated contact with vendors, aggregated technical data, and tested demo equipment.
PCB Design
FPGA Design
Embedded Application Code
High-Level Coding Languages
Other