Yi Zhang is a Senior Wireless Systems Engineer with eight years of experience blending academic rigor and product-grade engineering across mmWave, PHY/MAC design, and ML-driven wireless optimization. After earning a Ph.D. from UT Austin under Robert Heath and Sanjay Shakkottai, he has driven end-to-end system bring-up, beamforming calibration, and Tx EVM characterization at Apple, where he now focuses on ML-based MAC/PHY enhancements. His background spans deep reinforcement learning, bandit algorithms, and deep learning receivers—work that produced DeepWiPHY, a DL OFDM receiver validated on tens of millions of symbols. Comfortable moving between prototype SDR labs and firmware-level debugging, he brings a rare mix of research depth and hands-on system delivery from Sunnyvale.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at The University of Texas at Austin
Engineer's degree General Engineer, Engineer's degree General Engineer at Centrale Nantes
Master of Science - MS Information and Communications Engineering, Master of Science - MS Information and Communications Engineering at Xi'an Jiaotong University
This repository contains the source codes for Side-information-Aided Beam Alignment (SANBA) algorithm for MmWave systems. Both numerical simulation and experimental results are included. The work is accepted by ACM MobiHoc '19
Contributions:10 commits, 2 PRs, 6 pushes in 5 months
Contributions:64 commits, 4 pushes in 1 year 6 months
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Yi Zhang - Senior Wireless Systems Engineer at Apple