Group Number 42

Team: Aaron Zhong, Brian Shen, Leianne Roylo, Yu (Albert) Jiang

Our group consists of four students, three CSE majors (Aaron Zhong, Leianne Roylo, and Yu Jiang) and one EE major with specialization in radio signals (Brian Shen).  The mentor for our group is Dr. Nicolás Phielipp.

Group Members: Hieu Nguyen, Teija "Aaron" Zhang, and George Mansour, Ryan Bald

SmartMON's Website: http://cpmqtt1.calit2.uci.edu:3000/ (might be under construction)

SmartMON: A Device Usage & Tracking System for Ed-Tech Admins

Hi we are a team of two (both Computer Engineers) working on building small scale autonomous racing cars. This idea is from a faculty member and we are looking for another teammate who has experience in software or hardware. This project will require a lot of programming to ensure the cars can detect their surroundings and race automatically. If you are willing to work hard on a fun project email me at djooryab@uci.edu. Check out the link for more info. Thanks!

http://f1tenth.org/

Student team will develop, build, and demonstrate an unmanned aerial vehicle (UAV) quadcopter system to map antenna radiation patterns, to measure cell phone reception signals.

Students will be expected to integrate the RF measurement circuit with the on board flight control computer. This will require a minimum of two microcontrollers: The flight controller that interfaces with flight functions and GPS, and the RF measurement microcontroller that measures RF field patterns. Both microcontrollers should be interfaced.

Communicating digital information to visually impaired individuals has been an ongoing challenge in research and industry for over thirty years. Audio (via speech recognition and text-to-speech) and tactile (via Braille Displays) representations of visual information are currently the primary forms of communication. While these two forms of input and output serve as suitable forms for communicating textual information, the ability to dynamically communicate visual information such as pictures and graphics has yet to be solved.

(Posted on behalf of Dr. Nicolás Phielipp, who is available to mentor EECS and CSE students)

This project entails the integration of brain images (Computed Tomography scan and Magnetic Resonance) into our clinical database. Images are from patients undergoing  Deep Brain Stimulation surgery. The main goal is to monitor location of electrodes in relation to response to brain stimulation once we program the stimulator.

The ZotFeeder (Not a Real Project!  For illustraton only)

by Abe Lin (CpE), Jo Smith (EE), Sara Martinez (CSE)
mentor: Prof. Y. Zott, EECS

System Overview