Summary
Ameer Abdelhadi is an assistant professor of computer engineering at McMaster University with 11 years of experience bridging academia and industry in high-performance, application-specific hardware. He holds a PhD from UBC and has held research and teaching roles at institutions including U of T, Imperial College, and SFU, plus prior ASIC and logic-design positions at Intel and Mellanox. His work focuses on hardware-efficient ML, domain-specific accelerators (FPGA/ASIC), neurotechnology and asynchronous circuits, and he won the Best Paper Award at ASYNC 2017 for contributions to asynchronous design. As a co-founder and CTO of a pre-seed startup, he led development of patented neural-decoding chips for real-time BCI analytics, demonstrating an uncommon mix of commercialization experience and low-level hardware expertise. He actively collaborates with neuroscientists to translate ML and hardware co-design into practical brain-computer interfacing solutions.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at The University of British Columbia
Hebrew, English, Arabic