Electrical Engineering Master's Student @ UMICH
Hello, my name is Nick Farid. I recieved my Bachelor of Science in Engineering from the University of Michigan in 2023. I am currently a Master's student studying Electrical Engineering at the University of Michigan with a focus on Control Systems, Signal & Image Processing and Machine Learning. I am a highly motivated learner who is keen on better understanding the human mind and exploring ways to artificially recreate human thinking.
Part of a four-person team that created a real-time teleoperated robotic arm that emulates the movement of a human arm-hand effector system. We used Stereo Computer Vision with an integrated Machine Learning pipeline to implement hand pose estimation and localization in 3D space.
Created an occupancy monitor that tracks how many people are in a room, using two Arduino boards, two ultrasonic sensors and a PCB designed using EAGLE.
Created an underwater vehicle capable of Bluetooth communication with a remote controller. The vehicle successfully maneuvered through underwater obstacles. Designed the remote controller and performed necessary assembly and soldering tasks.
Below you can find links to my recent publications.
Abstract: One target application of IoT is the smart grid management. IoT services in the smart grid make up producing, transferring, and processing information. Therefore, all parts of the power grid, including software and hardware components should be accounted in network configurations. Reliable control and operation of the power system will become more challenging as more Distributed Energy Resources (DER) and Energy Storage (ES) units are connected to the grid. In this paper, network configurations of IoT-based smart grid are presented and recent activities on components of the system are reviewed. Communication challenges of an IoT-based smart grid are discussed, and some solutions are presented thereafter.
Abstract: The planning and operation of the power grid is becoming much more complex because of the introduction of renewable energy resources, the digitalization of the electricity industry, as well as the coupling of increasing efficiency and renewable energy movements. These changes and the interfaces between the consumers and the grid stakeholders are becoming more complex. This paper focuses on the main “physical” and “logical” interactions between consumers and the other stakeholders, from power system equipment and information management standpoints and proposes a new interoperability model for Smart Grids.