● Collaborated with Honda to conduct preliminary research for a new cloud edge emulator proposal● Experimented with cloud edge AI systems (Federated Learning, Distributed Learning, etc.) to identify keyperformance components and define metrics for effective monitoring and optimization

● Built and debugged C++ based functional models for CPUs under development to track performance bugs, verifyregister-level CPU design using RTL waveforms, and optimize performance● Created and utilized analytical tools written in python to visualize and debug CPU designs● Researched compiler efficiency improvements based on CPU design and CPU component design optimizations● Improved CPU performance (cache prefetching, page table aliasing) by debugging designs and benchmarking models

Built and optimized face recognition algorithms based on Convolutional Neural Network (CNN) to fit in a check-in database system set up on the server

Created preliminary models related to traffic jams on highways of Atlanta and tested different ways to reduce the probability of traffic jams including closing entrances and exits, as well as restructuring road plans.Assisted in using Navier-Stokes equation simulations to model cardiovascular geometries, making predictions and suggestions to doctors specializing in cardiovascular surgeries on surgery details and patient’s future conditions.Used steady Navier-Stokes equation results to simulate the time-average solutions of unsteady ones.

Drafted smart contracts for company owned blockchain applications in Solidity.Set up developing environment for Hyperledger Fabric from IBM on the server, and created an sample of adaption layer for Hyperledger.