Muhammad Usaid
I'm Muhammad Usaid, an accomplished professional with a strong background in Electrical Engineering. I hold a Bachelor's degree in Electrical Engineering, and I further specialized in the field by obtaining a Master's degree with a focus on Artificial Intelligence. With a solid educational foundation, I have honed my skills and knowledge in this dynamic field.
Over the course of my career, I have gained three years of invaluable experience across various domains, allowing me to develop a versatile skill set. I have had the opportunity to work on diverse projects, each contributing to my growth and expertise. Some notable projects I have been involved in include 'Sustainable Power Generation by Piezoelectric Transducers,' where I explored innovative approaches to harnessing renewable energy sources. Additionally, I worked on 'Sound Classification using Deep Learning,' applying state-of-the-art techniques to identify and classify audio signals. Another significant endeavor involved 'Image Processing using Nvidia Shelf Controller,' where I leveraged advanced image processing algorithms to optimize visual data analysis. Furthermore, I had the privilege of setting up a robust network infrastructure for Physical Layer devices, ensuring seamless communication and connectivity.
Outside of my professional life, I am an avid learner and explorer. I thrive on embracing new challenges and staying abreast of the latest advancements in technology. I believe in the power of continuous learning to expand horizons and unlock new possibilities.
Muhammad’s PhD research focuses on design and simulation of biomolecular piezoelectric arrays, funded by the European Union.