Zhiyang Ong is a globetrotting, venturesome cultural chameleon tackling challenges related to U.N. Sustainable Development Goals, using a skill set that spans electrical engineering and computer science. He is a Ph.D. student at Texas A&M University's electrical & computer engineering department. He is currently working on noise-based logic and embedded deep learning, and had worked on problems in electronic design automation, VLSI formal verification, satisfiability modulo theories, network science (or complex systems), evolutionary computation, network optimization, and multi-objective optimization. He has also designed multiple VLSI circuits and systems, from SRAMs and processors to a Viterbi decoder and a tree adder. In his free time, he was recently working on solving the Quadratic Travelling Salesman Problem (QTSP) with his research collaborators, using an adiabatic quantum computer from D-Wave Systems.
As a VLSI enthusiast, I completed a 6-month internship as a NAND product engineer at Micron Technology where my work comprises of post-silicon validation, data analysis using JMP, and testing NAND components under varying PVT conditions in DDR3 and LPDDR4. I'm passionate about CMOS and have experience simulating NAND output drivers through HSPICE simulations in collaboration with the design team. Additionally, I have proficiency in System Verilog, RTL design, and a solid grasp of digital IC, analog IC, and physical design. I hold a master's degree in Microelectronics from BITS Hyderabad and a bachelor's degree in ECE from Gayatri Vidya Parishad. I achieved a GATE ECE score of 571 with an All India Rank (AIR) of 1404 in 2023. devadeepreddi20@gmail.com