People :: ECE 445 - Senior Design Laboratory

People

TA Office Hours

Held weekly in the senior design lab (ECEB 2070/2072). NOTE:

Blue names are office hours held for only 30 minutes. The rest are for 1 hour.

Names highlighted in orange are additional office hours available up to the due date of the soldering assignment.

There are no office hours during the weeks of board reviews or final demos.

Chat Room

Ask technical questions here:

Spring 2023 Instructors

Name Area
Prof. Arne Fliflet (Instructor)
3056
afliflet@illinois.edu
microwave generation and applications
Prof. Viktor Gruev (Instructor)

vgruev@illinois.edu
Prof. Rakesh Kumar (Instructor)

rakeshk@illinois.edu
Prof. Olga Mironenko (Instructor)

olgamiro@illinois.edu
Prof. Michael Oelze (Instructor)
ECEB 2056
oelze@illinois.edu
Biomedical Imaging, Acoustics, Nondestructive Testing
Ugur Akcal (TA)

makcal2@illinois.edu
Computer Vision, Robotics, Control Theory, Machine Learning
Nikhil Arora (TA)

na32@illinois.edu
Mechanical Design, Automotive Technologies, Additive Manufacturing
Sainath Barbhai (TA)

barbhai2@illinois.edu
Design Engineering, Finite Element Method, Sensors and Actuators
Vishal Dayalan (TA)

vishald2@illinois.edu
Mechanical Engineering, Data Science and Analytics, Design Modeling and Simulation
Prannoy Kathiresan (TA)

prannoy2@illinois.edu
Mechanical engineering, automotive, thermal engineering, robotics, data science.
Zicheng Ma (TA)

zicheng5@illinois.edu
Distributed systems, Database systems, Computer vision
Abhisheka Mathur Sekar (TA)

am113@illinois.edu
Mechanical Engineering, Design, Modelling and Simulation, Fluid Mechanics, MRI
Jason Paximadas (TA)

jop2@illinois.edu
Power electronics, control, and instrumentation
Matthew Qi (TA)

mqi6@illinois.edu
Power Electronics
Akshatkumar Sanatbhai Sanghvi (TA)

sanghvi8@illinois.edu
Data Science and Machine Learning
Sarath Saroj (TA)

ssaroj2@illinois.edu
Hanyin Shao (TA)

hanyins2@illinois.edu
Natural language processing/Machine learning
Dushyant Singh Udawat (TA)

ds35@illinois.edu
Raman Singh (TA)

ramans2@illinois.edu
Space Systems; Astrodynamics & EDL; Optimization & Optimal Control
Selva Subramaniam (TA)

ss170@illinois.edu
Yixuan Wang (TA)

yixuan22@illinois.edu
Robotics; Computer Vision
Xiangyuan Zhang (TA)
CSL 360
xz7@illinois.edu
Optimal & Robust Control Theory, Optimization, Machine Learning, Robotics

Other Important People

Name Office Phone Email Area
Scott McDonald 1049 ECE Building   samcdona@illinois.edu Machine Shop
Mark Smart 1041 ECE Building   mwsmart@illinois.edu Electronics Services Shop
Casey Smith 3064 ECE Building   cjsmith0@illinois.edu Instructional Lab Coordinator
Waltham Smith 1041 ECE Building   wlsmith@illinois.edu Electronic Services Shop
Skot Wiedmann 1041 ECE Building   swiedma2@illinois.edu Electronic Services Shop

Smart Frisbee

Ryan Moser, Blake Yerkes, James Younce

Smart Frisbee

Featured Project

The idea of this project would be to improve upon the 395 project ‘Smart Frisbee’ done by a group that included James Younce. The improvements would be to create a wristband with low power / short range RF capabilities that would be able to transmit a user ID to the frisbee, allowing the frisbee to know what player is holding it. Furthermore, the PCB from the 395 course would be used as a point of reference, but significantly redesigned in order to introduce the transceiver, a high accuracy GPS module, and any other parts that could be modified to decrease power consumption. The frisbee’s current sensors are a GPS module, and an MPU 6050, which houses an accelerometer and gyroscope.

The software of the system on the frisbee would be redesigned and optimized to record various statistics as well as improve gameplay tracking features for teams and individual players. These statistics could be player specific events such as the number of throws, number of catches, longest throw, fastest throw, most goals, etc.

The new hardware would improve the frisbee’s ability to properly moderate gameplay and improve “housekeeping”, such as ensuring that an interception by the other team in the end zone would not be counted as a score. Further improvements would be seen on the software side, as the frisbee in it’s current iteration will score as long as the frisbee was thrown over the endzone, and the only way to eliminate false goals is to press a button within a 10 second window after the goal.