People :: ECE 445 - Senior Design Laboratory

People

TA Office Hours

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

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

Chat Room

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Spring 2026 Instructors

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

vgruev@illinois.edu
Prof. Joohyung Kim (Instructor)

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

rakeshk@illinois.edu
Prof. Michael Oelze (Instructor)
ECEB 2056
oelze@illinois.edu
Biomedical Imaging, Acoustics, Nondestructive Testing
Prof. Craig Shultz (Instructor)
CSL 220
shultz88@illinois.edu
Haptics, Human Computer Interaction, Signals, Audio, HCI, Actuators, Wearables, Interaction
Prof. Cunjiang Yu (Instructor)

cunjiang@illinois.edu
Prof. Yang Zhao (Instructor)

yzhaoui@illinois.edu
Abdullah Alawad (TA)

aalawad2@illinois.edu
Hossein Ataee (TA)

hataee2@illinois.edu
Haocheng Bill Yang (TA)

hy38@illinois.edu
Gayatri Chandran (TA)

gpc4@illinois.edu
Super-resolution imaging, force microscopy, nanoscale light-matter interactions
Aniket Chatterjee (TA)

aniketc2@illinois.edu
Shiyuan Duan (TA)

sduan9@illinois.edu
Lukas Dumasius (TA)

lukasd2@illinois.edu
Argyrios Gerogiannis (TA)

ag91@illinois.edu
Reinforcement Learning, Bandits, LLM Reasoning, Theoretical Machine Learning
Gerasimos Gerogiannis (TA)

gg24@illinois.edu
Computer Architecture, High-Performance Computing, Hardware Accelerators, FPGA
Manvi Jha (TA)

manvij2@illinois.edu
Computer Vision; Large Language Models; IoT; High Level Synthesis
Jason Jung (TA)

jasondj2@illinois.edu
Imaging Systems, Circuit design, Signal Processing, Computer Vision
Po-Jen Ko (TA)

pojenko2@illinois.edu
Weijie Liang (TA)

weijiel4@illinois.edu
Mingrui Liu (TA)

ml132@illinois.edu
Wesley Pang (TA)

qpang2@illinois.edu
Zhuchen Shao (TA)

zhuchens@illinois.edu
Yulei Shen (TA)

yuleis2@illinois.edu
Chihun Song (TA)

chihuns2@illinois.edu
Wenjing Song (TA)

ws33@illinois.edu
Eric Tang (TA)

leweit2@illinois.edu
IC, EM, proficient with PCB and soldering
Jiaming Xu (TA)

jx30@illinois.edu
Xiaodong Ye (TA)

xye11@illinois.edu
Zhuoer Zhang (TA)

zhuoer3@illinois.edu
Frey Zhao (TA)

yifeiz10@illinois.edu

Other Important People

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

Master Bus Processor

Clay Kaiser, Philip Macias, Richard Mannion

Master Bus Processor

Featured Project

General Description

We will design a Master Bus Processor (MBP) for music production in home studios. The MBP will use a hybrid analog/digital approach to provide both the desirable non-linearities of analog processing and the flexibility of digital control. Our design will be less costly than other audio bus processors so that it is more accessible to our target market of home studio owners. The MBP will be unique in its low cost as well as in its incorporation of a digital hardware control system. This allows for more flexibility and more intuitive controls when compared to other products on the market.

Design Proposal

Our design would contain a core functionality with scalability in added functionality. It would be designed to fit in a 2U rack mount enclosure with distinct boards for digital and analog circuits to allow for easier unit testings and account for digital/analog interference.

The audio processing signal chain would be composed of analog processing 'blocks’--like steps in the signal chain.

The basic analog blocks we would integrate are:

Compressor/limiter modes

EQ with shelf/bell modes

Saturation with symmetrical/asymmetrical modes

Each block’s multiple modes would be controlled by a digital circuit to allow for intuitive mode selection.

The digital circuit will be responsible for:

Mode selection

Analog block sequence

DSP feedback and monitoring of each analog block (REACH GOAL)

The digital circuit will entail a series of buttons to allow the user to easily select which analog block to control and another button to allow the user to scroll between different modes and presets. Another button will allow the user to control sequence of the analog blocks. An LCD display will be used to give the user feedback of the current state of the system when scrolling and selecting particular modes.

Reach Goals

added DSP functionality such as monitoring of the analog functions

Replace Arduino boards for DSP with custom digital control boards using ATmega328 microcontrollers (same as arduino board)

Rack mounted enclosure/marketable design

System Verification

We will qualify the success of the project by how closely its processing performance matches the design intent. Since audio 'quality’ can be highly subjective, we will rely on objective metrics such as Gain Reduction (GR [dB]), Total Harmonic Distortion (THD [%]), and Noise [V] to qualify the analog processing blocks. The digital controls will be qualified by their ability to actuate the correct analog blocks consistently without causing disruptions to the signal chain or interference. Additionally, the hardware user interface will be qualified by ease of use and intuitiveness.

Project Videos