Summary
Pedro Machado is a Senior Lecturer and researcher with over a decade of experience at the intersection of FPGA design, computer vision, neuromorphic hardware and robotics, currently completing a part-time PhD on FPGA-accelerated computational models of motion detection. He has led large-scale hardware neural network projects (including a 302-FPGA system) and develops tactile sensing and vision algorithms for object grasping, blending deep hands-on engineering with academic teaching and course leadership. Certified in Xilinx acceleration workflows and active in IEEE leadership and assessment roles, he bridges academic research, industry R&D and education. Notably, his work spans bio-inspired spiking neural networks to practical MPSoC/ACAP deployments, giving him a rare mix of biological modelling insight and production FPGA systems expertise.
9 years of coding experience
16 years of employment as a software developer
Postgraduate Certificate Learning and Teaching in Higher Education, Postgraduate Certificate Learning and Teaching in Higher Education at Nottingham Trent University
Integrated Master of Science in Electrical and Computers Engineering (BSc+MSc) Computer Science, Integrated Master of Science in Electrical and Computers Engineering (BSc+MSc) Computer Science at Universidade de Coimbra
Secundary School Diploma Information Technology, Secundary School Diploma Information Technology at Escola Secundaria de Esmoriz
Portuguese, English, Spanish