Sajid Mohamed

Sajid Mohamed is a guest researcher in the Electronic Systems group at the Department of Electrical Engineering, Eindhoven University of Technology. His work focuses on model-based design of image-based control systems tailored for resource-constrained domains like semiconductor manufacturing and automotive industries.

• PhD, M.Tech, and B.Tech degrees from TU/e, IIT Kharagpur, and NIT Calicut respectively

His research combines expertise in Multiprocessor Systems, Deep Neural Networks, and Motion Control to address challenges in real-time performance and optimization. Key contributions include the IMOCO4.E reference framework and methodologies for vision-based DNN deployment on legacy hardware.

Recent publications highlight advancements in Motion Control through multi-rate sensor fusion, DNN-driven visual perception, and predictable multi-core implementations. His work aligns with the UN Sustainable Development Goals, particularly in technological innovation for industrial efficiency.

• Best Paper Award at ECYPS (2019)

Professionally, he serves as a Principal Software Engineer at ITEC B.V., integrating academic research with industry applications. Collaborations include projects like FitOptiVis and oCPS, emphasizing cyber-physical systems and edge computing.