Summary
Muhammad Shahid is a multidisciplinary researcher and engineer with 11 years’ experience bridging computer vision, machine learning, embedded systems and biomedical engineering. Currently a Marie Skłodowska-Curie Postdoctoral Fellow at UCD’s Insight Centre, he leads vision-based motor assessment research for neurological disease while previously completing a PhD on social interaction analysis through deep nonverbal visual features at IIT/University of Genoa. His work spans end-to-end systems from FPGA hardware and wearable IMU/pressure sensor data collection to spatiotemporal multimodal fusion and deep learning for rehabilitation and assistive technologies. Comfortable in both lab and production settings, he combines signal-processing and BCI knowledge with hands-on embedded design—an uncommon mix that accelerates translation of algorithms into real-world monitoring devices. Based in Genoa, he has a track record of turning complex multimodal data into practical assessment tools for healthcare applications.
11 years of coding experience
6 years of employment as a software developer
BS, Telecommunication, BS, Telecommunication at National University of Computer and Emerging Sciences
Doctor of Philosophy - PhD, Computer Vision and Machine Learning, Doctor of Philosophy - PhD, Computer Vision and Machine Learning at University of Genoa
Master’s Degree, Computer Engineering, 3.53/4, Master’s Degree, Computer Engineering, 3.53/4 at Capital University of Science and Technology