Electrical and Computer Engineering Presentations - Fall 2020


When designing models for quantum systems, researchers are often limited to computer models to develop a large pool of data. This has always been the case until the discovery was made that bouncing droplets of silicone oil can be a representation of quantum mechanical particles. The system is designed  to run continuously for a large amount of trials without the need for human interaction, as well as collect motion data created by generated oil droplets. The droplet generator system is composed of a fluid reservoir, pump, piezoelectric buzzer,  fluid chamber, and a nozzle to generate the oil droplets. The droplets move from the generator to an experimental setup where their location is tracked using a Visual Basic driven image processing algorithm. This system will be a tool for studying quantum systems on a macro scale.

Video of WMU ECE Senior Design Presentation - SILICON OIL DROP EXPERIMENT
Team Members:
Jacob Lutz
Myles McPhearson
Rowan Sheehan
Faculty Advisor:

Dr. Steve Durbin



Currently, there are two methods used to measure the depth of calcification on heat treated materials. The first involves a probe that measures the difference in physical resistance between the pyrolyzed and non-pyrolyzed wall sections. The other option is to observe color changes by individually cutting cross-sections of gypsum wallboard, an expensive alternative. The need arises for a device to measure the depth of calcification directly. This device should minimize human error to allow for accurate and reliable measurements. The device will apply a force to a heat-treated wall sections and measure the depth when the probe stops.

Video of WMU ECE Senior Design Presentation - DEPTH OF CALCIFICATION METER
Team Members:
Michael Bressler
Andrew Pates
Merrick Rumel
Faculty Advisor:
Dr. Janos Grantner


Unmanned aerial vehicles has been used in multiple fields ranging from military surveillance to Amazon delivery services. This project explores two synchronous drones working together carry a load from one location to another. Each drone is a multirotor quadcopter that uses the Pixhawk controller w/ 3DR telemetry hardware and Ardupilot. Likewise, the two drones will lift together a weight between 300-400grams and move it a distance of 10 feet.

Video of WMU ECE Senior Design Presentation - SYNCHRONOUS DRONES
Team Members:
Saleh Almaden
Adam Dubs
Jon Emhoff
Dr. Tarun Gupta
Faculty Advisor:
Dr. Ralph Tanner


When the diagnosis of diseases like cancer, dementia, or any exposure to pathogens takes place it is often too late to get treatment. There is a need for a biometrics capture (BCD) device that could capture the biometric data so that critical symptoms could be predicted by the doctors. A BCD device has been designed that will capture the biometric data which will be processed by the sensors and will provide indications using alarms, LEDs, and alerts when the patient will wear the device. BCD is a user-friendly device that will help in diagnosing serious health problems.

Team Members:
Abdullah Alharbi
Abdulelah Alkhamis
Rayan Basudan
Project Sponsor:
Dr. Tarun Gupta
Faculty Advisor:
Dr. Tarun Gupta and Dr. Dean Johnson

Analog Filters for Neural Electrophysiology Signal Acquisition

The Neurobiology Engineering Laboratory, in collaboration with the John Jellies Laboratory in Biological Sciences, uses intracellular current stimulation to study the membrane voltage response of biological neurons. The lab is developing low-cost instrumentation to support this research. A recent voltage amplifier design requires three filters: (1) an adjustable-frequency low-pass filter to remove high-frequency noise; (2) a 60 Hz notch filter to remove power-line noise; and (3) an anti-aliasing filter for signal conditioning prior to digital acquisition. These filters were designed and validated.

Team Members:
Josh Elmblad
Patrick McConnell
Trent Schultz
WMU Neurobiology Engineering Laboratory
Faculty Advisor:
Dr. Damon Miller


Determining the weight of volatile compounds and moisture in foundry sand is an essential quality control metric in metal casting. The current test is time-consuming and expensive. A system was developed to automate heating sand samples to prescribed temperatures and measuring the weight change caused by evaporation of impurities. The design includes a microcontroller and use of MATLAB(R) software. Multiple tests are performed simultaneously and requires less sand that the current industry standard.

Team Members:
Nathan Bartz
Mitchell Jacobs
Sam Ramrattan, Ph.D. 
Engineering Design, Manufacturing and Management Systems Western Michigan University 1903 W Michigan Ave, Kalamazoo MI 49008
Faculty Advisor:
Dr. Damon Miller

Smart Insole

Gait analysis is an important medical diagnosis that helps identify posture and movement related problems. In this project, a Smart Insole device is designed and developed that provides gait analysis without the need to go to a laboratory.  Smart Insole also utilizes a microcontroller with a built-in inertial measurement unit to capture the gait characteristics in motion. In addition, a smartphone application has been developed to display the sensor data in real-time and provide feedback on how the user can improve their gait and posture.

Video of WMU ECE Senior Design Presentation - SMART INSOLE
Team Members:
Alexander Bawilianthang
Syed Mustafa
Jeremiah Tumminello
Faculty Advisor:
Dr. Massood Atashbar