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Majid Zamani is a lecturer in the School of Electronics and Computer Science at the University of Southampton. He has extensive experience in the design and fabrication of novel computational platforms for biomedical applications. His inventions include advanced biomedical signal and image processing algorithms utilizing a variety of AI techniques, which have applications in extremely limited access scenarios. He has proposed computing frameworks for implantable applications that support miniaturization and low-power real-time processors for implantable brain-machine interfacing (iBMI) using 180, 90, and 45 nm CMOS technologies. Zamani has published 42 articles in respected journals and international conference proceedings, including Transactions on Medical Imaging, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and IEEE Transactions on Biomedical Circuits and Systems.