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.
A bit of everything - mostly focused on networking system level designs / FPGA / Switch Fabric from concept to validation - and now automotive