Experienced leader of industry and academia focusing on developing customized hardware accelerators for low power mobile, AI and IoT devices. Over 20-years hands-on experience in all aspects of SOC and processor design. Specialties: memory design (SRAM, regfile, CAM), VLSI design for best Power, Performance, and Area (PPA) design point. Power management and power conversion including dc/dc and ac/dc. Computer Architecture and Hardware accelerator using In-Memory-Computing and Emerging Technologies (RRAM)
Assistant Professor (IISc) | Ph.D. & S.M. (MIT) | B.Tech. (IIT-KGP)
Passionate about Digital VLSI and Hardware Accelerators. Experienced in using open-sourced tools for design and verification
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.