Sayed Omid Ayat

Sayed Omid Ayat is currently a Postdoctoral Researcher at Tyndall National Institute in Cork, Ireland, committed to advancing the field of FPGA engineering and communication systems, including OCDM (Orthogonal Chirp Division Multiplexing). He has a solid academic background and extensive experience in FPGA implementation of advanced communication systems, machine learning, and image processing algorithms. For over 10 years, he has been targeting different FPGA boards, utilizing various high-level synthesis tools, HDL programming languages, and embedded software development kits. His interdisciplinary background and hands-on experience span both academic and industrial sectors.

Sayed Omid Ayat earned his Ph.D. in Electrical Engineering from Universiti Teknologi Malaysia (UTM), where he received a Merit Award for his performance in the Ph.D. viva examination. His research, funded by the ScienceFund grant from the Ministry of Science, Technology, and Innovation (Malaysia), focused on developing an energy-efficient spectral Convolutional Neural Network (CNN) accelerator on FPGA.

Prior to his Ph.D., Sayed Omid Ayat completed his Master of Engineering in Electrical-Computer and Microelectronic Systems at UTM, Malaysia. His master’s thesis centered on the development of a hardware/software co-simulation platform for convolution-based image processing algorithms, highlighting his proficiency in hardware-software co-verification techniques.

During his two years of post-Ph.D. work as a Senior FPGA Engineer at Sharif Advanced Technologies Incubator Centre, Sharif University of Technology, Iran, he led the FPGA design and implementation of advanced communication systems for the DVB-S2 (Digital Video Broadcasting – Satellite – Second Generation) standard. In this role, he also developed two sophisticated decoder accelerators: BCH and LDPC.