2021-22 EE & CE Capstone Awards + Replays
The Capstone Project allows Electrical & Computer Engineering and Computer Engineering students the opportunity to put their education into practice with students working in small teams designing, building, and presenting a challenging engineering design project
The design challenges, of which each team selects one to tackle, are proposed and supported by UCSB faculty research groups or by industry sponsors. Projects typically involve the design and implementation of both hardware and software systems. The projects span a variety of topics in the fields of electrical & computer engineering and computer engineering.
Every year at the end of the Spring quarter, the final projects are displayed at an event with each student group participating in a project presentation and a poster session. A panel of experts from academia and industry judges each of the teams and selects award winners.
Electrical Engineering (ECE 188ABC) Capstone Awards
EE Awards – Projects and Sponsors
- 1st place: Mimmo (Madhow & Buckwalter Labs) – a distributed MIMO radar system pushing the boundaries of automative safety
- 2nd place: B.A.I. (S.L. Smith Lab) – Optical Neural Network: a neural network based on optics that can classify images with low energy consumption
- 3rd place: MPL (Theogarajan Lab) – Maskless Projection Lithography – a novel lithography process that allows the end-user to go straight from design into manufacturing devices
Computer Engineering (ECE 189ABC) Awards
CE Awards – Projects and Sponsors
- 1st place: Scrapsort (Analog Devices & IFT) – a mechatronic system designed to sort recyclables at the edge. It aims to provide an efficient and inexpensive solution to the growing problem of waste
- 2nd place: AeRobot (AeroVironment & IFT) – a system designed to navigate and map a foreign area under high-interference or wireless obstructing area
- 3rd place: CUDA (Aptitude) – a medical diagnostic device capable of detecting a life threatening condition called coagulopathy that occurs commonly in physical trauma patients
Faculty Choice Award – ADA (CACI International): Acoustic Detection Array aims to detect and locate the source of large sonic impulses often indicative of poaching in the wild, blast fishing, and other loud sounds