Summary
Hazoor Ahmad is a systems engineer and PhD researcher specializing in energy-efficient hardware accelerators for embedded deep neural networks, with eight years of experience spanning academia and industry. He combines hands-on hardware design work from roles at Xcelerium and NASTP with teaching and research positions at the University of Dayton, FAST-NUCES, and Information Technology University. His background bridges circuit-level optimization and system integration, enabling practical low-power AI deployments for constrained environments. As an active educator and associate researcher, he translates cutting-edge PhD research into curricula and applied prototypes. Based in Punjab, Pakistan, he has a track record of mentoring students while contributing to industry projects that push energy efficiency in embedded ML. Unusually, he balances academic publishing and classroom instruction alongside commercial hardware development, making him effective at moving ideas from lab to product.
8 years of coding experience
7 years of employment as a software developer
MSc Engg Electrical and Computer Engineering, MSc Engg Electrical and Computer Engineering at University of Engineering and Technology, Taxila
Doctor of Philosophy - PhD Electrical Engineering and Computer Sciences, Doctor of Philosophy - PhD Electrical Engineering and Computer Sciences at Information Technology University
BSc Engg Electrical and Computer Engineering, BSc Engg Electrical and Computer Engineering at University of Engineering and Technology, Lahore