DOD Scalable Asymmetric Lifecycle Engagement (SCALE) FellowDeveloping system to demonstrate Deep Neural Network (DNN) acceleration through Computer-in-Memory (CIM) using resistive RAM (RRAM) technology.Using a Xilinx Virtex-7 FPGA to control and interface with network layers on an RRAM chip.Optimizing quantized LeNet-5 Convolutional Neural Network (CNN) on MNIST dataset for low bit-width RRAM hardware.Investigating the tradeoff between array area and network accuracy by leveraging the spatial locality of RRAM arrays.

Help students develop and test solutions to complex MIPS assembly and embedded C programming assignments.Grade and provide feedback on homework and projects.Hold weekly office hours.

Developed methodology to quantify the energy efficiency of automated PNR wire routing using linear regression models.Performed data mining to understand the impact of cell spacing and repeater cell choice on data movement energy.Enhanced data movement analysis tools to accurately model clock tree energy cost per processor to DRAM transaction.

Validated high voltage DC-DC circuitry in LTspice to ensure compliance with rules and current and thermal limits.Optimized Battery Management System hardware-software interface for increased data accuracy and software simplicity.

Improved main control unit PCB focusing on design failure mode and effect analysis (DFMEA) and mixed-signal grounding.Developed C++ code for Teensy to control car functions and interface with distributed embedded computing elements.Designed analog hardware and digital hardware-software circuits to shut down the car in the event of a failure.Mentor and assist team members with hardware and software simulation and testing projects.Created and presented training material to teach 20 new team members circuit design fundamentals and techniques.

Designed in EAGLE a custom, mixed-signal PCB integrating circuitry to collect data from wheel speed, strain gauge, and thermocouple sensors to enhance car performance. Designed PCBs to test each sensors’ circuitry using an oscilloscope.Developed C code to calculate force on car suspension using the measured voltage across a strain gauge.

Designed an FPGA-controlled, electrically reconfigurable Ground Support Equipment (GSE) PCB for validating different sensor payloads to eliminate the Non-Recurring Engineering costs of developing a new GSE for every payload.Developed custom peripherals in two-process VHDL method to enable a soft-core Cortex-M1 to reconfigure GSE, communicate with payloads, and integrate into existing LabView PC controller.

Successfully implemented and tested Intersatellite Worst Case Geometry (WCGis) algorithm in C++ for simulating satellite link interference in accordance with International Telecommunication Union (ITU) Recommendation S.1503-3.Independently authored comprehensive 61-page document on the WCGis algorithm explaining a mathematical derivation of the algorithm and the implementation of the algorithm to help other engineers understand my work.Participated in sprint planning, SCRUM meetings, and code reviews as part of an Agile development team.

Worked with a team to develop a digital manifesting system that would enable paratroopers to be manifested faster, a reduction in errors, and better records keeping.Deployed web app to Microsoft Azure to provide web portal access to manifests.Developed, tested, and documented custom API for interfacing with SQL database.

Devised a Java algorithm optimizing the maintenance report schedule for over 100 maintenance reports based on solar system size, person-hours, and driving distance to effectively spread workload throughout the year.Developed a Java program to obtain and process irradiance data from NASA’s POWER (Prediction of Worldwide Energy Resources) database using NASA’s POWER API to evaluate the accuracy and effectiveness of solar site pyranometers.Configured GPM+ to create and automatically email tenant billing, daily production, monthly performance, and monthly client reports to support company transition to GPM Plus platform.Designed GoCanvas forms with pre-population of equipment data for solar sites to remove paper forms from the maintenance and safety report creation process.Documented work on NASA’s POWER API, GPM Plus, and GoCanvas with over 100 pages of instructional material.Created trouble tickets in Salesforce to track alarms from data acquisition systems indicating site issues.

Conducted independent research under Professor Ioannis Paschalidis and graduate students Tingting Xu and Ruidi Chen.Used machine learning and epidemiological techniques to analyze the correlation between usage of statins and hydrochlorothiazide with an increased risk of nonmelanoma skin cancer.

Member of a research team that developed an algorithm to enhance a digital image enhancement with minimal quality loss.Algorithm performed better against tested algorithms.

The program prepares teens to be future leaders through a yearlong education about county services. I contributed to discussions about the book, Seven Habits of Highly Effective Teens. I presented on my cultural heritage in the spring as part of a conference on county diversity.