Summary
Yue Yang is an M.S. electrical and computer engineering student at CSU Fresno with eight years of engineering experience and a 4.0 GPA, specializing in VLSI/ASIC design, physical design, and hardware–software codesign. She has published multiple IEEE conference papers (one as first author) and is Cadence RTL-to-GDS certified, with hands-on expertise spanning Verilog, C/C++, Python, Tcl, FPGA, and advanced-node physical design workflows. Her recent work designs a SIMD-based many-core accelerator for INT8/INT16 matrix multiplication targeted at generative AI edge applications, which she is scaling into a full-stack system thesis and presenting at IEEE SoC 2025. A seasoned teaching assistant and mentor, she has led high-participation supplemental instruction programs and served as SWE chapter president, demonstrating strong communication and leadership alongside technical depth. Her background switching from GIS and software engineering to VLSI uniquely equips her to bridge algorithmic, system-level, and device-aware perspectives in semiconductor design.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Software Engineering, 3.7, Master's degree, Software Engineering, 3.7 at China University of Geosciences
Bachelor's degree, Geographic Information Systems (GIS), 3.4, Bachelor's degree, Geographic Information Systems (GIS), 3.4 at Yangzte University
Master of Science - MS, Electrical and computer engineering, 4.0, Master of Science - MS, Electrical and computer engineering, 4.0 at California State University, Fresno
English, Chinese