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 online via zoom.

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 2024 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
Prof. Jonathon Schuh (Instructor)
4066 ECEB
schuh4@illinois.edu
Computational Physics, Electromechanics, Fluid Mechanics, Energy Storage, Tribology
Prof. Victoria Shao (Instructor)

yangshao@illinois.edu
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
Zutai Chen (TA)

zutaic2@illinois.edu
Vishal Dayalan (TA)

vishald2@illinois.edu
Data Science and Analytics, Mechanical Design, CAD, Simulation, System Design, Robotics and Product Development
Luoyan Li (TA)

luoyanl2@illinois.edu
machine learning, hardware acceleration
Zicheng Ma (TA)

zicheng5@illinois.edu
Cloud computing, Database systems
Abhisheka Mathur Sekar (TA)

am113@illinois.edu
Mechanical Engineering, Design, CAD Modelling and Simulation, Fluid Mechanics, MRI, Human centric designs
David Null (TA)

null2@illinois.edu
Robotics, Computer Vision, Navigation, Coordinated Systems, Control Systems.
Jason Paximadas (TA)

jop2@illinois.edu
Power electronics, control, and instrumentation
Sanjana Pingali (TA)

pingali4@illinois.edu
Machine Learning Systems
Matthew Qi (TA)

mqi6@illinois.edu
Power Electronics
Nithin Balaji Shanthini Praveena Purushothaman (TA)

ns49@illinois.edu
My area of interest include Mechanical Design, Design Analysis, Supply Chain(Circular), Industry 4.0, Data Science and RPA.
Selva Subramaniam (TA)

ss170@illinois.edu
Koushik Udayachandran (TA)

koushik3@illinois.edu
Unmanned aerial vehicles. Risk assesment. Autonomous underwater vehicles . Aircraft design. Systems engineering and integration . Flight testing
Surya Vasanth (TA)

vasanth4@illinois.edu
Data Science and Analytics, Internet of Things, Human Centric Design
Angquan Yu (TA)

angquan2@illinois.edu
Douglas Yu (TA)

zeduoyu2@illinois.edu
Hardware Design, Computer Architecture, AI
Jason Zhang (TA)

zekaiz2@illinois.edu
AR, Robot and human interactions
Jialiang Zhang (TA)
CSL 403
jz23@illinois.edu
Hardware Systems, Computer Architecture
Tianxiang Zheng (TA)

tz32@illinois.edu
FPGA hls and mlir; Chronic signal processing; robotics and control; 3D printing;

Other Important People

https://ece.illinois.edu/about/directory/staff

GYMplement

Srinija Kakumanu, Justin Naal, Danny Rymut

Featured Project

**Problem:** When working out at home, without a trainer, it’s hard to maintain good form. Working out without good form over time can lead to injury and strain.

**Solution:** A mat to use during at-home workouts that will give feedback on your form while you're performing a variety of bodyweight exercises (multiple pushup variations, squats, lunges,) by analyzing pressure distributions and placement.

**Solution Components:**

**Subsystem 1: Mat**

- This will be built using Velostat.

- The mat will receive pressure inputs from the user.

- Velostat is able to measure pressure because it is a piezoresistive material and the more it is compressed the lower the resistance becomes. By tracking pressure distribution it will be able to analyze certain aspects of the form and provide feedback.

- Additionally, it can assist in tracking reps for certain exercises.

- The mat would also use an ultrasonic range sensor. This would be used to track reps for exercises, such as pushups and squats, where the pressure placement on the mat may not change making it difficult for the pressure sensors to track.

- The mat will not be big enough to put both feet and hands on it. Instead when you are doing pushups you would just be putting your hands on it

**Subsystem 2: Power**

- Use a portable battery back to power the mat and data transmitter subsystems.

**Subsystem 3: Data transmitter**

- Information collected from the pressure sensors in the mat will be sent to the mobile app via Bluetooth. The data will be sent to the user’s phone so that we can help the user see if the exercise is being performed safely and correctly.

**Subsystem 4: Mobile App**

- When the user first gets the mat they will be asked to perform all the supported exercises and put it their height and weight in order to calibrate the mat.

- This is where the user would build their circuit of exercises and see feedback on their performance.

- How pressure will indicate good/bad form: in the case of squats, there would be two nonzero pressure readings and if the readings are not identical then we know the user is putting too much weight on one side. This indicates bad form. We will use similar comparisons for other moves

- The most important functions of this subsystem are to store the calibration data, give the user the ability to look at their performances, build out exercise circuits and set/get reminders to work out

**Criterion for Success**

- User Interface is clear and easy to use.

- Be able to accurately and consistently track the repetitions of each exercise.

- Sensors provide data that is detailed/accurate enough to create beneficial feedback for the user

**Challenges**

- Designing a circuit using velostat will be challenging because there are limited resources available that provide instruction on how to use it.

- We must also design a custom PCB that is able to store the sensor readings and transmit the data to the phone.