Industry & Alumni

Industry-Sponsored Student Capstone Projects

In the 2018/19 academic year the industry capstone program was supported by 51 sponsoring companies and 67 real-world projects. Over 270 students from each of the ten departments in the College of Engineering participated. Scroll down to learn more about each project.

Accolade

Accolade Integration with Apple Healthkit

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Sponsor:
Project Name:
Accolade Integration with Apple Healthkit
Students:
I-Miao Chien
Kyuri Kim
Andrew Liu
Faculty Adviser:
Tai-Chang Chen, Senior Lecturer, Electrical and Computer Engineering
About the Project:

Accolade is a personalized health and benefits solution providing personalized advocacy. The student team developed a system to enhance user experience and interaction with physicians by sharing users’ health data from Apple Health Kit with the Accolade platform.

Agilsys

Digital Hotel Assistant

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Sponsor:
Project Name:
Digital Hotel Assistant
Students:
Jessica Dai
Jason Garcia
Romo Li
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Hospitality venues around the world are switching form staffed cashiers to Self Service Kiosks. Students worked to develop a software plugin that utilizes network voice recognition services to provide voice-to-text and text analysis for guest contact with hotel employees.

Axon

Speaker Identification for Voice Command-Enabled Body Worn Cameras

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Sponsor:
Project Name:
Speaker Identification for Voice Command-Enabled Body Worn Cameras
Students:
Ashwin Srinivas Badrinath
Alex Hu
Christina Tang
Faculty Adviser:
Mari Ostendorf, Professor, Electrical & Computer Engineering
About the Project:

Axon develops technology for law enforcement, self-defense, and the military, with the goal of making communities stronger, safer, and more connected. The student team developed two neural network systems for text-independent speaker identification of law enforcement officers and other authorized speakers.

A group of students

Boeing

Characterizing Anomalous Conditions of Novel Thermoplastic Composites

Sponsor:
Project Name:
Characterizing Anomalous Conditions of Novel Thermoplastic Composites
Students:
Xiaoyi Feng
Andrew Haskin
Gabriel Hutton
Troy Moss
Chris Pecunies
Tianyi Wang
Faculty Adviser:
Luna Yue Huang, Lecturer, Materials Science and Engineering
Christine Luscombe, Campbell Career Development Endowed Professor, Materials Science and Engineering
About the Project:

Recent advances in thermoplastics technology offer attractive aerospace design solutions over thermosets. Key advantages include elimination of material refrigeration storage/out time limitations, enhanced toughness/damage tolerance, superior solvent and chemical resistance, improved flammability properties, and recyclability. However, to offer competitive alternatives to thermoset applications, processes must be optimized. The student team performed characterization of thermoplastic composite materials for different process parameters, driving recommendations for process parameters that optimize performance/quality.

A group of students

Boeing

Chemical Bath Life Forecast

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Sponsor:
Project Name:
Chemical Bath Life Forecast
Students:
Martin Affandy
Aaron Bitz-Richards
Margerie Celestra
Caleb Peek
Yoel Teckle
Fan Xu
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Chemical baths are used to clean titanium parts coming from the etching process. Chemical process tanks have a finite cleaning capacity which necessitates periodic draining & recharging with new chemical to achieve processing requirements. Current forecasting tools are based on historical usage rates and are not dynamically responsive to production increases, considering defined chemical parameters. Current QA chemistry monitoring is not predictive of bath life resulting in unplanned tank refill, increased cost, as well as schedule impact (both operations & maintenance). The student team was tasked with developing a system to track the number of parts processed through each specific tank on a weekly basis to provide a more robust forecasting of chemical solution bath life correlated to, or directly determined by, production rates.

A group of students

Boeing

Dedicated Air Freighter Design

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Sponsor:
Project Name:
Dedicated Air Freighter Design
Students:
Ramon Laya
Keenan Boudon
Dickson Cheung
Matthew Edwards
Cameron Joy
Sean Lam
Hannah Stevens
Daniel Wilson
Julian Woo
Faculty Adviser:
Susan Murphy, Affiliate Associate Professor, William E. Boeing Department of Aeronautics and Astronautics
About the Project:

Trade and e-commerce have increased the demand for the rapid transportation of packages and goods. There are a number of military turboprop freighters with large payload capacities. Generally these aircraft are designed and produced to accommodate military missions and are not well tailored to the commercial air freight market. The student team was tasked with the design and analysis of a dedicated turboprop freighter using existing or in-development turboprop engines, paying close attention to payload capacity and what size class engine should be chosen.

A group of students

Boeing

Polymer Additive Manufacturing

Sponsor:
Project Name:
Polymer Additive Manufacturing
Students:
Luisa Isabel Bonnin
Brandon Chan
Jiawen Huang
Sheron Lian
Rebecca Renfrow
Ilham Wilson
Faculty Adviser:
Luna Yue Huang, Lecturer, Materials Science and Engineering
Christine Luscombe, Campbell Career Development Endowed Professor, Materials Science and Engineering
About the Project:

Polymer additive manufacturing offers opportunities to manufacturing materials that can mimic natural materials to provide insights into basic structure property relationships. The student team performed characterization of neat polymer additive manufactured materials to identify whether the path of structure-process relationship offers high payoff for generation of new knowledge, or if the opportunity to jump to filled polymer materials offers more significant knowledge generation. Their characterization results will drive recommendations for process parameters that optimize performance and quality.

Boeing

Powder Bed Fusion Seed Build

Sponsor:
Project Name:
Powder Bed Fusion Seed Build
Students:
Ryan Chin
Hayrullah Kaan Fero
Zach Inoue
Hannah Lee
Alexander Montelione
Lyubomir Sukoparov
Jullio Tchouta
Faculty Adviser:
Dwayne Arola, Associate Professor, Materials Science and Engineering
Ramulu Mamidala, Boeing-Pennell Endowed Professor, Mechanical Engineering
About the Project:

Powder bed fusion (PBF) technology has the capability to create complex shapes and features that are hard or impossible to machine with existing technology. PBF technology is currently expensive, and requires post processing to achieve acceptable surface finishes; it is therefore desirable to create a method to add features to existing parts or seed shapes using PBF without the need to create the entire part using PBF. The student team worked to create a process and plan for adding features to a seed part using the ARCAM Laser powder bed fusion machine.

A group of students

Boeing

Single Piece Composite Wheels

Sponsor:
Project Name:
Single Piece Composite Wheels
Students:
Christopher Dymek
Ashley Huynh
Conor Lanning
Faculty Adviser:
Ashley Emery, Professor, Mechanical Engineering
About the Project:

An airplane wheel is responsible for transmitting all vehicle forces to the ground and is a safety-critical stressed airplane component. Because the wheel is a fast-spinning component subject to frequent and rapid changes in rotational speed minimizing mass is a high priority. The student team worked to design a monolithic, composite vehicle wheel accounting for weight, stiffness, safety and reliability that can be used on their Formula SAE car.

Boeing

Thermoplastic Composite Control Surface Integrated Wing Design/Build

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Sponsor:
Project Name:
Thermoplastic Composite Control Surface Integrated Wing Design/Build
Students:
Roger Cheng
Mitchell Frimodt
Gary Lam
Tianqi Liu
Faculty Adviser:
Susan Murphy, Affiliate Associate Professor, William E. Boeing Department of Aeronautics and Astronautics
About the Project:

In the aerospace industry there is a desire to expand the utilization of thermoplastic composites into the wing structure for control surfaces due to their perceived advantages in damage resistance and potential for rapid fabrication and assembly processes. The student team worked to build and test a small wing structure as a potential control surface design, utilizing thermoplastic materials and associated processes.

A group of students

Boeing

Tooling Condition Monitoring

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Sponsor:
Project Name:
Tooling Condition Monitoring
Students:
William Chen
Charles LeCuyer
Vuong Ngo
Austin Park
Hailey Wyman
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Tools are built and inspected prior to first time use and never inspected again. Boeing currently uses pullout punches in order to create holes of the right diameter to join ducts together. These pullout punches are placed within a duct and then pulled through a pilot hole in the duct which will then expand the hole to the same diameter as the punch. This in turn, causes contact wear on the punch and over time starts to affect the critical dimension of the punch. When the wear gets too significant, the pullouts created by the punch will no longer be within tolerance, which causes a significant amount of rework downstream in order to get the ducts mated properly. Currently no system is in place to keep track of the wear on these tools. The student team worked to develop a system for the area operators to check tools for wear outside the usable engineering tolerances, monitor tool use environmental and performance conditions, and predict the remaining life of tools.

A group of students

Boeing

X-Ray Inspection, Tube Fixturing for Batch Processing

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Sponsor:
Project Name:
X-Ray Inspection, Tube Fixturing for Batch Processing
Students:
Levi Bisson
Yubin Kim
Xiaolu Li
Jullio Tchouta
Jessica Yeh
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Tubes used in airplane manufacturing must be inspected. Currently, 55% of process time is spent on the setup for inspection. The team worked to design fixturing for multi-piece processing of tubes for x-ray inspection imaging. Challenges included a work field limited by equipment, keeping parts stationary while the x-ray inspection image is captured, and capturing images without obstruction.

A group of students

Booz Allen Hamilton

Bluetooth Multiplexer

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Project Name:
Bluetooth Multiplexer
Students:
Ying Cheng Lin
Philip White
Chumei Yang
Faculty Adviser:
James Ritcey, Professor, Electrical and Computer Engineering
About the Project:

Hearing loss is the third most common physical condition affecting people of all ages. Booz Allen Hamilton is creating Bluetooth devices as hearing aids. The team worked to design, build, and test a system using a single host serving multiple Bluetooth audio devices which stream the same audio.

A group of students

Collins Aerospace

Aircraft Non-Intrusive Continuous Level Sensor

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Project Name:
Aircraft Non-Intrusive Continuous Level Sensor
Students:
Jon Champion
Selma Kapetanović
Derek Hines-Mohrman
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Collins Aerospace is looking for a solution to detect level in an aircraft water/waste tank in real time that can inform flight attendants. The student team designed, built, and tested a non-intrusive continuous level sensor and communication system for aircraft waste systems.

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Crane Aerospace & Electronics

Digitally-Controlled Synchronous Battery Charger

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Project Name:
Digitally-Controlled Synchronous Battery Charger
Students:
Jonah Au
Cooper McBride
Thaniel Schrimshire
Faculty Adviser:
Brian Johnson, Washington Research Foundation Innovation Assistant Professor of Clean Energy and Electrical & Computer Engineering
About the Project:

The aerospace industry is increasingly looking into electric power options. The student team developed a digitally-controlled synchronous battery charger for avionic applications. The converter acts as both a battery charger and bus-sustainer upon loss of power.

A group of students

Cyberworks Robotics

Autonomous Wheelchair with Monocular Visual Odometry

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Project Name:
Autonomous Wheelchair with Monocular Visual Odometry
Students:
Ross Bajocich
Kaiden Field
Joseph Shieh
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

Conventional Visual SLAM based Teach & Repeat Self-Navigation relies on expensive LiDAR for operation in large scale environments. Cyberworks has developed “core” code for two novel methodologies of Teach & Repeat that use only a cheap webcam, allowing cost sensitive products like autonomous wheelchairs to become accessible to the masses and marking a shift in self-driving technology. The student team developed and integrated a robust visual odometry package with sensors, an onboard processor, and a user interface to assist autonomous wheelchair motion.

A group of students

EagleView Technologies

Sign Reading in Oblique Aerial Imagery

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Project Name:
Sign Reading in Oblique Aerial Imagery
Students:
Mengqi Chen
Xinbei Gong
Truong Nguyen
Faculty Adviser:
Robert Bruce Darling, Professor, Electrical and Computer Engineering
About the Project:

Eagleview is a technology provider of aerial imagery, data analytics, and geographic information system solutions. The student team developed a system that uses deep neural networks and optical character recognition techniques to detect and read oblique signage in aerial imagery.

A group of students

Eastside Baby Corner

Streamlining the Inventory Receiving and Storage/Retrieval Process

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Project Name:
Streamlining the Inventory Receiving and Storage/Retrieval Process
Students:
Dalton deDianous
Sofia Dolce
Emma Harrison
Camden Hess
Madison Johnson
Saivikas Reddy Chittepu
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Eastside Baby Corner (EBC) provides families with newborns a strong start in life by providing the necessities that each family needs in order to care for their children. EBC collects everything from diapers and car seats to clothes and toys. The student team worked in the warehouse to analyze the receiving and sorting process to develop procedures and best practices to reduce time and handling and used lean practices and methodologies to streamline current processes. They also developed a standard work and visual communication board to help with incoming and outgoing material.

A group of students

EKOS

Thrombolysis Detector

Sponsor:
Project Name:
Thrombolysis Detector
Students:
Peter Beidler
Levi Davis
Nicolas Opalski
George Sun
Faculty Adviser:
Chris Neils, Senior Lecturer, Department of Bioengineering
About the Project:

EKOS catheters use PZT ultrasound transducers to enhance the delivery of thrombolytic drug to blood clots in the vasculature. It is desirable to track the progression of therapy by determining the state of the local environment around the treatment area, particularly blood flow rate and percent of the cross section of the vessel at each transducer that is clot vs. static or flowing blood. The student team explored what information related to these two parameters could be extracted from pulse-echo data when various environments exist around the transducer.

A group of students

Fluke

Dynamic Load Monitoring System for a Set of Complex Devices

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Sponsor:
Project Name:
Dynamic Load Monitoring System for a Set of Complex Devices
Students:
Dean Khormaei
Jingtian Gu
Aditya Sharma
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Fluke is a manufacturer of industrial test, measurement, and diagnostic equipment. The student team developed and tested a system for accurate identification and monitoring of different electrical loads.

Genie

First in First out Schedule for Fabrication Shop

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Sponsor:
Project Name:
First in First out Schedule for Fabrication Shop
Students:
Nicholas Carwin
Deborah Huh
Chanakarn Karnchanavetchakul
Hyunwoo Kim
Evan Kirkpatrick
Tham Panichtrakul
Kenneth Wibisono
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Genie currently uses an Access database to track parts and part materials throughout the facility. The database fulfilled many of Genie’s initial needs in providing a central location where data could be monitored and stored. Since 1997, many problems have arisen in the database that have led to slower production and a decrease in quality of information available. As Genie continued to improve by producing more parts and collecting more data, the database struggled to keep up the speed it once had. As problems arose, the database was tweaked and added onto in order to fix the short-term issue, however, it failed to address the long-term issues the current form presents, such as slow speed resulting in duplicate entry logs. The student team was tasked with improving the usability and speed of the Access database, as well as providing a wireframe which can eventually be linked with SQL programming, in order to provide an enhanced user Interface.

Genie

Product Decal Selection and Application Improvement

Sponsor:
Project Name:
Product Decal Selection and Application Improvement
Students:
Christian Bertram
Jeffrey Jacobsen
Faculty Adviser:
Santosh Devasia, Professor, Mechanical Engineering
About the Project:

Genie is constantly working towards building quality in its production processes. One desired areas of improvement is decals selection (material delivery) and decal application accuracy on Genie units. The student team was tasked with analyzing the current state of the decal delivery and application process and subsequently identifying areas of improvement, including material flow, process design, work station layout/design, and equipment changes. The goal of the team’s solution is to mistake-proof the process of decal delivery to the point of use and also eliminate the possibility of error in the decal application process.

GKN Aerospace

Next Generation Midsize Airliner Lipskin Design Trade Study

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Sponsor:
Project Name:
Next Generation Midsize Airliner Lipskin Design Trade Study
Students:
Kodjovi Klikan
Mike Kurnia
Gunnar Israel
Wexin Luo
Faculty Adviser:
Susan Murphy, Affiliate Associate Professor, William E. Boeing Department of Aeronautics and Astronautics
About the Project:

Aerospace manufacturers are currently evaluating replacement midsize airliner products for viability, and are in the early stages of research and development. These aircraft will incorporate a number of emerging technologies, advancing in the area of propulsion, which will require a rethink of existing design standards. The student team created a conceptual lipskin design for the next generation airliner market.

Glympse

Using GPS Location Data to Score Drivers’ Safety

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Sponsor:
Project Name:
Using GPS Location Data to Score Drivers’ Safety
Students:
Brandon Tjio
Allison Torchia
Youjun Wu
Faculty Adviser:
Sreeram Kannan, Assistant Professor, Electrical and Computer Engineering
About the Project:

Glympse delivers last-mile solutions for delivery, curbside/click-and-collect, BOPIS, and roadside assistance creating a smooth customer experience when people, products, and services are in motion. The student team developed a system using GPS location data to detect and categorize dangerous driving maneuvers and assignment of a driver safety score, with the goal of improving delivery driver safety.

Kenworth

Automated Turn Signal Cancellation for Semi-Trucks

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Sponsor:
Project Name:
Automated Turn Signal Cancellation for Semi-Trucks
Students:
Ashley Fogwell
Eldon Wen
Feng Wei
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

Truck manufacturer, Kenworth, constantly seeks to improve truck safety. The student team worked to design, build, and test a system to cancel turn signals automatically for semi-trucks based on CAN (Controller Area Network) bus signals and image processing.

Kenworth

Multibody Dynamic Model of a Front Suspension and Steering System for a Twin Steer Axle Heavy Duty Truck

Sponsor:
Project Name:
Multibody Dynamic Model of a Front Suspension and Steering System for a Twin Steer Axle Heavy Duty Truck
Students:
Khrisna Kamarga
Tsung Da Kuo
Yanming Li
Jing Lu
Logan McCallum
Mojun Pan
Kaiyu Shi
Li-Wei Shih
Storrie Skalisky
Collin Rhodes
Shunsuke Winston
Zi Ye
Faculty Adviser:
Brian Fabien, Associate Dean of Academic Affairs and Professor, Mechanical Engineering
About the Project:

In order to achieve good weight distribution and maneuverability within a fixed vehicle length two steering axles can be used instead of a single steer axle. Doing so adds complexity to the design since many components need to be connected with linkages in order to coordinate steering angles of the tires as well as proper load transfer between the first and second axle. The student team worked to create a simulation model of the front suspension and steering system that predicts the motion of the system through the expected range of travel and is capable of estimating loads while undergoing durability events.

Kernel Labs

Teleoperated Farming Rover

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Sponsor:
Project Name:
Teleoperated Farming Rover
Students:
Donavan Erickson
Samson Waddell
Zhuoming Zhang
Faculty Adviser:
Sam Burden, Assistant Professor, Electrical and Computer Engineering
About the Project:

Kernel Labs’ expertise is in machine learning, computer vision, and security. The student team was tasked to design, build, and test a cost-efficient general purpose rover for farm use. The rover is remotely operated and built with a machine learning framework for implementing future applications.

Latécoère

Aircraft Door Flight Lock

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Sponsor:
Project Name:
Aircraft Door Flight Lock
Students:
Kenrick Chan
Wilson Martinez
Nicholas Price
Bac Tran
Jingyang Wu
Faculty Adviser:
Susan Murphy, Affiliate Associate Professor, William E. Boeing Department of Aeronautics and Astronautics
About the Project:

Latecoere is a major supplier of sections of aircraft fuselage and doors. The student team was tasked with using the capacity of an electroactive polymer in a flight lock system. The electroactive polymer will change its shape when subjected to an electrical current to generate the lock action. As soon as the electrical current is removed, the lock goes back to its initial shape and unlock the door. They created and tested a functional prototype.

Lightning Network LLC

Real Time Financial Transactions Using Lightning Network Protocol

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Project Name:
Real Time Financial Transactions Using Lightning Network Protocol
Students:
Zheng Hong Tan
Brian Yu
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Lightning Network has created the next generation decentralized global payment platform. The student team developed a payment app utilizing the Lighting Network to increase the rate of completion of cryptocurrencies to meet consumer needs.

Magic AI

Individual Horse Identification

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Sponsor:
Project Name:
Individual Horse Identification
Students:
Brandon Noyes
Hady Ouyang
Mingyi Yang
Faculty Adviser:
Eli Shlizerman, Washington Research Foundation Assistant Professor, Electrical and Computer Engineering
About the Project:

Magic AI is building a platform through machine learning and computer vision that will bring ubiquitous computing to industries and implementations previously excluded, specifically focused on nonverbal forms of data and communication related to animals and humans. The student team developed a data pre-processing pipeline and classification neural net to individually identify horses.

magniX

The All-Electric Air Tractor

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Sponsor:
Project Name:
The All-Electric Air Tractor
Students:
Edward Guo
Seokjoong Kim
Ahrif McKee
Zach Williams
Michael Zody
Faculty Adviser:
Susan Murphy, Affiliate Associate Professor, William E. Boeing Department of Aeronautics and Astronautics
About the Project:

Airplanes powered by fuel are costly both financially and to the environment. magniX wants to convert their agricultural plane, the Air Tractor AT-502B to all-electric using the magni500 propulsion system. The student team was tasked with delivering a complete conversion plan to all-electric including installation plans for propulsion system and batteries, designs, mounts, brackets, parts lists, and full sets of CADs, drawings, virtual models and simulations.

McKinstry

Unlocking Data in the Built Environment

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Sponsor:
Project Name:
Unlocking Data in the Built Environment
Students:
Ibrahem Adem
Ben LaRoche
Aman Michael
Claire Overby
Tianyi Wang
Faculty Adviser:
Ashis Banerjee, Assistant Professor, Mechanical Engineering
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

McKinstry has a desire to better utilize data in the built environment to effect behavior. The student team was tasked with capturing, assessing, and analyzing large amounts of building data to identify trends and deliver recommendations on what occupants and operators should be doing differently to positively impact resource consumption in the built environment.

Microsoft

K-12 Data Science Curriculum

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Sponsor:
Project Name:
K-12 Data Science Curriculum
Students:
Abhishek Sangameswaran
Kailing Shen
Faculty Adviser:
Payman Arabshahi, Associate Professor, Electrical & Computer Engineering
About the Project:

Microsoft knows that tomorrow’s workforce will require both domain-specific knowledge and coding skills, but there is currently a lack of learning opportunities and hands-on experience necessary to inspire young learners, particularly those in underrepresented groups. The student team worked to develop a hands-on data science curriculum which aims to make K-12 learners data literate and introduce them to data science topics such as data visualization, statistics, and machine learning.

Microsoft

Robotic Eyes

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Sponsor:
Project Name:
Robotic Eyes
Students:
Karli Berger
Connor Hughes
Khrisna Kamarga
Kyle Schultz
Kaiyu Shi
Li-Wei Shih
Faculty Adviser:
Santosh Devasia, Professor, Mechanical Engineering
About the Project:

Eye trackers are slowly becoming mainstream devices and finding uses in accessibility scenarios, education, entertainment and productivity. But it is hard to automate testing of applications that are written to work with eye trackers because the eye trackers require a human to be present. It is also hard to replicate a test or an experiment because human eyes don't follow the exact same paths every time. The student team worked to build a test-rig and software to control the rig that can automate testing. The test rig consists of a pair of prosthetic eyes capable of rotating horizontally and vertically that are realistic enough to fool an eye tracker that it is human. The software can accept a set of screen coordinates as input and then move the eyes in such a way that the eye tracker returns that point as the gaze coordinate.

Mindshare Medical

Improved Sensitivity and Specificity with AI on 3D Mammography

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Project Name:
Improved Sensitivity and Specificity with AI on 3D Mammography
Students:
Chen Bai
Drew Clark
Kyle Zhang
Faculty Adviser:
Ming-Ting Sun, Professor, Electrical and Computer Engineering
About the Project:

Mindshare Medical creates evidence-based clinical decision support technology providing personalized diagnostics and guidance on the effectiveness of follow-up procedures and treatments with the goal of improving quality of patient care and reducing financial liability for healthcare organizations. The student team designed and built a neural network system for localizing and characterizing breast cancer lesions in 3D tomosynthesis scans with significantly reduced false positives.

Mobility Innovation Center

Mobile Ticketing Enhancements for General Population Incident Avoidance

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Project Name:
Mobile Ticketing Enhancements for General Population Incident Avoidance
Students:
Christopher Angkico
Yuki Asakura
Pari Gabriel
Anny Kong
Steven Tuttle
Catherine Wang
Faculty Adviser:
Don MacKenzie, Assistant Professor, Civil & Environmental Engineering
Andisheh Rajnbari, Research Associate, Civil & Environmental Engineering
About the Project:

An interdisciplinary team of six students from Civil & Environmental Engineering, Human Centered Design & Engineering, Computer Science, and Communications developed a mobile-based incident notification and navigation system to increase awareness of major traffic incidents that affect the region’s transportation network and provide real-time data to strategically suggest alternate routes and modes of transport.

NanoString

Parallel Sample Collection Design for Unbiased Spatial Information of Tissue

Sponsor:
Project Name:
Parallel Sample Collection Design for Unbiased Spatial Information of Tissue
Students:
Jackson Chin
Jiaqui (Tony) Liu
Preston Pan
Faculty Adviser:
Barry Lutz, Associate Professor and Pilcher Faculty Fellow, Department of Bioengineering
Chris Neils, Senior Lecturer, Department of Bioengineering
About the Project:

Based on NanoString's optical barcoding technology, the DSP (digital spatial profiling) platform has been developed to analyze local protein and RNA expression levels within heterogeneous tissue samples. The DSP technology samples all analytes on a single slide with a high multiplexing capacity and a wide detection range down to single cell resolution. Currently, the DSP platform captures the spatial context from one subdivision area of tissue slide in sequential way. The student team was tasked with creating a setup for parallel sample collection from whole tissue slide area with spatial resolution that will provide unbiased spatial information on much larger tissue area. Their design was compact and simple to help quantitative analysis of bio-samples for various medical and scientific applications.

NASA Jet Propulsion Laboratory

PUFFER Autonomous Navigation and Coordinated Search

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Project Name:
PUFFER Autonomous Navigation and Coordinated Search
Students:
Jace Barayuga
Alex Hoffman
Andysheh Mohajeri
Brandon Yee
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

NASA PUFFER (Pop-Up Flat-Folding Explorer Robots) are small, low cost, expendable rovers that can transport key sensors and instruments to locations considered too risky for the primary lander, rover, or astronaut. Because of the high communication latencies of deep space missions these rovers must minimize their dependence on ground control and be able to operate primarily autonomously. The student team worked on a multi-robot navigation and search for the PUFFER, including computer vision, LIDAR distance sensing, and SLAM, to cooperatively find a goal object.

National Oceanic and Atmospheric Administration (NOAA)

Smart Light Trap

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Project Name:
Smart Light Trap
Students:
Lucas Cauthen
Xavier Yuan
Faculty Adviser:
Tai-Chang Chen, Senior Lecturer, Electrical and Computer Engineering
About the Project:

The Puget Sound is seeing a declining population trend in Puget Sound species of zooplantkton. NOAA seeks to analyze the population by using an underwater camera at night that attracts zooplankton into funnels with light. The student team worked to develop a smart light trap to capture video of zooplankton and their surrounding environment, and developed a software package to analyze the video, giving scientists a view of the composition of species and a count of specimens in a given trap.

Novo Nordisk

High-Throughput Peptide Library Purification

Sponsor:
Project Name:
High-Throughput Peptide Library Purification
Students:
Samuel Broadwell
Cassandra Maranas
Duy Ngoc Nguyen
Tanu Priya
Janis Shin
Faculty Adviser:
François Baneyx, Charles W.H. Matthaei Professor, Chemical Engineering
About the Project:

The chemistry group at the Novo Nordisk Research Center, Seattle, Inc. (NNRCSI) is involved in numerous discovery efforts in support of early stage drug research, with significant interest in high throughput peptide library synthesis. Peptides are an important and rapidly expanding therapeutic modality which can combine the high potency and selectivity of large protein drugs with the increased bioavailability and synthetic tractability of small molecules. When peptides are synthesized in a high-throughput array format, modest purities are typically achieved, and can vary dramatically especially when the structural diversity of the target library is high. Impurities often confound downstream biological analysis, therefore purification is often necessary. The student team was tasked with developing an improved method for automated, high-throughput purification of peptide libraries.

PACCAR

Analyzing Warranty Claims Using Machine Learning

Sponsor:
Project Name:
Analyzing Warranty Claims Using Machine Learning
Students:
Anyi Chen
Wenwen Liu
Vidur Vij
Qiran Wu
Tianhao Xu
Murphy Zhang
Faculty Adviser:
Ashis Banerjee, Assistant Professor, Industrial & Systems Engineering and Mechanical Engineering
About the Project:

The PACCAR Technical Center Advanced Analytics team groups warranty claims into potential product quality projects. The product quality projects are used to improve product design, resolve defects, and increase customer satisfaction. The claims are also used to help prioritize projects using metrics such as Cost per Truck, Total Cost, Failure per 100, Truck Population Impacted, etc. The student team was tasked with creating a machine learning tool to help speed up the identification of highest impact issues and help with the prioritization of projects.

PACCAR

Automotive Radar Imaging

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Sponsor:
Project Name:
Automotive Radar Imaging
Students:
Yekaterina Mikhaylyuta
Matthew Sissel
Faculty Adviser:
Sumit Roy, Integrated Systems Professor, Electrical and Computer Engineering
About the Project:

Radar is one of the most powerful sensor technologies available for automotive perception systems. As part of an automated driving system, radar is partially strong in all-weather operation, low cost, proven reliability and the ability of provide fast velocity measurements. A challenge in using radar is noisy data due to multipath returns, as a result a lot of effort is needed in digital signal processing to improve the reliability of the detections. Both false positives and false negatives are a concern for automotive applications. The student team worked to apply commercial radar technology to a heavy duty commercial vehicle for forward based object detection and tracking, and to create maps of the environment surrounding the vehicle, including moving and stationary objects.

PACCAR

Driver Alertness Monitoring System

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Sponsor:
Project Name:
Driver Alertness Monitoring System
Students:
Faisal Almubarak
Joshua Emilio
Vanja Glisic
Bailey Good
Madalyn Li
David Prendez
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

PACCAR is interested in monitoring and improving driver alertness. An effective system must detect and warn the driver when an incidence of driver distraction or driver loss of attention occurs while driving. The student team worked to identify a camera that will allow eye tracking to detect for driver distraction, identified the ideal location for camera installation and determined the best method of alert to notify the driver when they are distracted.

PACCAR

Haptics Evaluation

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Sponsor:
Project Name:
Haptics Evaluation
Students:
Christopher Harrison
Aaron Kitchener
Faculty Adviser:
Santosh Devasia, Professor, Mechanical Engineering
About the Project:

PACCAR has a desire to Develop and optimize haptic feedback for cab interior controls using subjective and objective methods. The company currently relies on different suppliers to tune haptics of various controls and there is a need to develop appropriate guidelines for various types of manual controls. The student team worked to optimize haptics using user feedback and mechanical apparatuses to measure feedback force characteristics. They developed preliminary apparatuses to measure force feedback for different types of controls and generated force displacement curves.

PACCAR

Lidar Localization on the Road with Limited Landmarks

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Sponsor:
Project Name:
Lidar Localization on the Road with Limited Landmarks
Students:
Russell DeGuzman
Everett Key
Daniel Torres
Xingjian Yang
Faculty Adviser:
Ashis Banerjee, Assistant Professor, Industrial & Systems Engineering and Mechanical Engineering
About the Project:

A key component of autonomous vehicle operation is the ability for the vehicle control system to locate its current position on a high definition map. This localization is required in order to insulate path planning from the instantaneous information presented by the vehicle perception system. This is necessary to provide redundancy in case of a temporary or unexpected loss of perception as well as to decouple the performance of the vehicle controls from the latency of the perception system. The student team was tasked with evaluating techniques that would be suitable for use on a commercial vehicle operating on roads under sparse availability of easily identified landmarks.

PACCAR

Part Sales Statistical Control

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Sponsor:
Project Name:
Part Sales Statistical Control
Students:
Patricia Ambrus
Olivia Chicoine
Jae Yong Lee
Stephanie Palmer
William Zhou
Faculty Adviser:
Youngjun Choe, Assistant Professor, Industrial & Systems Engineering
About the Project:

PACCAR seeks to be pro-active in warranty cost reduction, and wants to track parts sales and determine if a cause for out of control variation will lead to warranty claims for a part. The student team worked to build control charts to indicate if there an unusual increase or decrease in a part’s orders over time. Their R Shiny platform allows PACAR to quickly identify, over time, out of control variation in engine and aftertreatment parts sales.

PACCAR

Tube-in-Shell Diesel After-Treatment System

Sponsor:
Project Name:
Tube-in-Shell Diesel After-Treatment System
Students:
Amanda Johnson
Kuotian (Tim) Liao
Callan McLeod
Nana Yamagata
Faculty Adviser:
John Kramlich, Associate Chair for Academics and Professor, Mechanical Engineering
Junlan Wang, Associate Professor, Mechanical Engineering
About the Project:

Emission regulations for diesel truck engines are becoming increasingly stringent. This is particularly true for nitrogen oxides (NOx), which are controlled by an aftertreatment catalyst system. Catalyst performance depends on keeping the catalyst temperature at the optimal point, which requires quick initial heatup and careful control of temperature excursions during the drive cycle. PACCAR has proposed a unique tube-in-shell heat exchanger design to address these challenges. The student team worked on two proposed design features: (1) use of thermal barrier coatings to improve heat retention and (2) use of guided fins to enhance the internal heat transfer between the engine gas and catalyst body. The thermal barrier coating (TBC) sub-team investigated the TBC effectiveness by analyzing the microstructural and mechanical integrity of the coatings. The computational fluid dynamics (CFD) sub-team used ANSYS Fluent to explore and optimize how various fin geometries worked to improve heat transfer and reduce pressure drop inside the system. Both these approaches appear to have sufficiently good benefits and low costs such that they are candidates for further development.

Photonic Sentry

Laser-Based Insect Eradicator

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Sponsor:
Project Name:
Laser-Based Insect Eradicator
Students:
Ahmad Rasyid
Xincheng Wang
Rogers Xiang
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

Mosquitos carry deadly viruses including malaria, Zika, dengue, and West Nile virus. Agricultural pest ruin crops, both outdoors and in greenhouses. Current prevention techniques for both problems are costly and marginally effective. Photonic Sentry has created a laser based insect monitoring and eradication system called Photonic Fence. The student team developed a system to detect irregularities in object detection and target tracking of bugs in the Photonic Fence.

Pollen Systems

Unmanned Ground Vehicle for Vineyards and Farms

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Sponsor:
Project Name:
Unmanned Ground Vehicle for Vineyards and Farms
Students:
Yibo Cao
Maggie Fagan
Justin Ngo
Ananda Nusantara
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

Pollen Systems harvests data for agricultural growth, helping farmers manage their crop growth and vitality, identify irrigation and moisture issues, and note pests and disease problems using drones, data analytics, and proactive alerts. The student team developed a semi-autonomous ground vehicle which surveys vineyards and other high-value crop fields, with a focus on collecting pictures to evaluate expected yield and plant health. This ground vehicle will augment Pollen Systems’ current services.

Seattle Art Museum

Isolator Base: Seismic Damage Mitigation for Museums

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Project Name:
Isolator Base: Seismic Damage Mitigation for Museums
Students:
Will Gear
John McIntyre
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

Seattle Art Museum is seeking an art base that can support sculptures and prevent damage during earthquakes and other environmental vibrations. The student team developed a system to actively stabilize a sculpture subject to seismic forces, using sensors and motors.

Seattle Children’s Hospital

Seattle Children’s Downtown TechBar Staffing Models

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Project Name:
Seattle Children’s Downtown TechBar Staffing Models
Students:
Edward Cho
Robert Crittenden
Helene Hawes
Austen Lane
Adrian Pyoych
Abigail VonFeldt
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Seattle Children’s Hospital is working to develop IT talent recruiting and career pathway infrastructure to support thier "TechBar" which will service SCH employees and potential community members of the downtown area. This programmatic effort will draw diverse talent from under-served communities to provide candidates with employment and career opportunities potentially leading to positions beyond the Children's TechBar. To support these efforts the student team was tasked with creating IT/business process designs that provide for an "eConcierge" service for the TechBar customers. Students developed standard procedures and performance criteria for a successful staffing model for a unified customer experience for IT support and coffee services, with the intent to keep cost low and quality high. The model considered various customer arrival rates and helped determine when staffing IT specialist support is necessary.

Seattle City Light

Food Service Electrification

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Project Name:
Food Service Electrification
Students:
Cole Burge
Jacob Fink
Joanna Garcia
Nahom Ghirmay
Ivan Iturriaga
Matthew Kim
Ladat Pattaraarayakul
Robert Pedersen
Ziange Wang
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
Joyce Cooper, Professor, Mechanical Engineering
About the Project:

The City of Seattle has goals to reduce greenhouse gas emissions. As part of this initiative, Seattle City Light is investigating the potential for all-electric renewable energy powered food trucks for use on Seattle streets that have all-electric appliances and no need for propane or gas. In addition to reducing greenhouse gases, improving the viability and operation of food trucks from an environmental perspective addresses issues related to equity. The student team was tasked with demonstrating how to layout, design and build a food truck kitchen using all-electric appliances and renewable energy that satisfies the typical needs of the majority of food trucks used in the Seattle area. They also worked on mapping out the steps to retrofit an existing food truck to all electric appliances, taking into account cost considerations of the retrofit. Finally, the team worked to layout an electric food truck plaza.

Sound Transit

Machine Learning Mobility Data through Security Cameral Feeds

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Sponsor:
Project Name:
Machine Learning Mobility Data through Security Cameral Feeds
Students:
Yifan Bai
Zhe Han
Austin Miller
Faculty Adviser:
Jenq-Neng Hwang, Professor, Electrical and Computer Engineering
About the Project:

Sound Transit seeks accurate traffic counts, duration of stay, and other metrics in Link Light Rail stations. The student team developed a machine learning system which combines image object detection and tracking to produce aggregated mobility data and traffic counts in Link Light Rail stations using station security camera footage.

SPAWAR (Space and Naval Warfare) Systems Center

Situational Awareness in Path Finding

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Project Name:
Situational Awareness in Path Finding
Students:
Johnson Ly
KuanHsun Lu
Vikram Sringari
Faculty Adviser:
Colin Reinhardt, Affiliate Assistant Professor, Electrical and Computer Engineering
About the Project:

Modern smart phones are highly sophisticated devices with multi-core CPU and GPU, multiple sensors and transceivers that can be used in the field to provide situational awareness using signals of opportunity. The student team developed a machine learning Android application that finds the best driving path between two locations based on optimal weather conditions and other user requirements.

Steth IO

An ECG Enabled Smartphone Stethoscope

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Sponsor:
Project Name:
An ECG Enabled Smartphone Stethoscope
Students:
Sai Sidharth Doppalapudi
Jason Ku
Edward Lou
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
Robert Bruce Darling, Professor, Electrical and Computer Engineering
About the Project:

Steth IO has built a smartphone stethoscope to improve patient experience and outcomes and make exams more objective. The student team designed and implemented a single lead electrocardiogram (ECG) system for integration with Steth IO’s digital stethoscope, and machine learning classification of ECG data.

Sweet Tea Cancer Connections

Community Heals Web App

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Project Name:
Community Heals Web App
Students:
Manchen Jin
Siyou Li
Ameer Talal Mahmood
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Sweet Tea Cancer Connections works to forge connections and build relationships among families affected by pediatric cancer using smart technology, national partnerships, and focused research. The student team designed and built an app to connect parents who have a child with pediatric cancer with their child’s caregivers.

T-Mobile

NB-IoT Power Line Obstruction Detection

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Sponsor:
Project Name:
NB-IoT Power Line Obstruction Detection
Students:
Ying Kit Chui
Bogdan Tudos
Zidi Wei
Faculty Adviser:
Sumit Roy, Integrated Systems Professor, Electrical and Computer Engineering
About the Project:

Billions of dollars in damage is caused every year in the US from fires originating in the electric grid, many of these caused by growing vegetation causing a short. The student team developed an NB-IoT-enabled device to detect obstructions near power lines and report them to a remote web server, assisting in efforts to prevent wildfires and save lives.

Taskar Center for Accessible Technology (TCAT)

Contextually Aware Autonomous Wheelchair

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Project Name:
Contextually Aware Autonomous Wheelchair
Students:
Benton Kwong
Jesse Lu
Yeyun Lu
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

Globally, there are limited commercially available power chair platforms that can exhibit socially responsive automated behavior, such as autonomy in negotiating through crowds or facilitating appropriate navigation behavior when a having a conversation with a friend. The student team developed a smart sensor suite to be used in an autonomous wheelchair, enabling context awareness and path reconstruction.

TE Connectivity

TE AMT Harrisburg Resource Forecasting and Scheduling

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Sponsor:
Project Name:
TE AMT Harrisburg Resource Forecasting and Scheduling
Students:
Daniel Bollinger
Calvin Crooks
Brooke Dieker
Casey Germino
Mason Gionet
Thanika Painruttanasukho
Ben Stemer
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

The TE Connectivity Automation Manufacturing Technology Group in Harrisburg, PA, wants to improve their resource forecasting and scheduling system for its engineering, shop and contract manufacturing resources. The student team was tasked with building a user-friendly resource planning and scheduling system that demonstrates the ability to schedule organizational resources, assess plan status and costs, and provides high level and detailed reporting.

Telenav

Continuous Destination Prediction Micro Service

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Sponsor:
Project Name:
Continuous Destination Prediction Micro Service
Students:
Muhammad Danish Farooq
Tyler Ho
Sicong Huang
Faculty Adviser:
Robert Bruce Darling, Professor, Electrical and Computer Engineering
About the Project:

Telenav is a wireless location-based services corporation with a goal to build the largest network of connected cars on the road. The student team designed a machine learning model to predict a user’s destination continuously during a trip, with the flexibility to adopt time/distance transitions and spatio-temporal data.

The City of Bellevue, in collaboration with Livable City Year

Automatic Vehicle Locator for Transportation: Streets / Signals

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Sponsor:
Project Name:
Automatic Vehicle Locator for Transportation: Streets / Signals
Students:
Mohammed Arab
Kevin Castro-Siguenza
Pradipta Nurahmat
Nikita Sharma
Gina So
Aryton Tediarjo
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

The City of Bellevue aims to help city transportation staff improve efficiencies related to clearing roads during snow and ice events, and is planning to deploy a commercial-off-the-shelf (COTS) telematics system for the winter weather response fleet (plows, sand and salt spreaders, and de-icing trucks). The COTS telematics system is envisioned to provide data on vehicle location, plow position, material spread rate, and time.

Currently, the City of Bellevue does not have a sophisticated system for covering deicing and snow plowing routes. Their current system was created a few decades ago and there is no proof that the system still works today. The current system needs to be optimized to help City of Bellevue efficiency rates in regards to their deicing and snow plowing procedures. The student team worked to develop a dynamic optimization model or platform that will help the City of Bellevue Transportation Department reduce costs and resources for snow and ice response efforts.

A group of students

Tupl

Customer and Network Prediction and Anomaly Detection

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Sponsor:
Project Name:
Customer and Network Prediction and Anomaly Detection
Students:
Yi-Cheng Chen
Andrew Leung
Shih-Yin Tsai
Faculty Adviser:
Payman Arabshahi, Associate Professor, Electrical & Computer Engineering
About the Project:

Tupl develops software with state-of-the-art big data technologies. The student team worked to improve prediction and visualization of customer and network issues with deep learning using call detail records, key performance indicators, and Twitter datasets.

University of Washington Medical Center

Motion Control for Cyclotron RF System

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Project Name:
Motion Control for Cyclotron RF System
Students:
Razan Alraddadi
Akhil Avula
Dylan Tomberlin
Faculty Adviser:
Howard J. Chizeck, Professor, Electrical and Computer Engineering
About the Project:

The University of Washington Medical Cyclotron Facility is a one-of-a-kind cancer treatment and research facility. The student team worked to design, build, and test a motion control system that tunes the Cyclotron radio-frequency system. Tuning to different frequencies allows the Cyclotron to be used for cancer treatment, isotope creation, and advanced materials testing.

Verathon

Wearable Medical Device for Bladder Volume Monitoring

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Sponsor:
Project Name:
Wearable Medical Device for Bladder Volume Monitoring
Students:
Skyler Justis
Ifran Wisnaggeni
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Verathon’s current BladderScan devices are used by healthcare providers at the point of care to perform automated measurments of bladder volume. Clinicians use bladder volume measurements to determine whether to catheterize a patient. The student team developed a wearable device to periodically monitor bladder volume and send phone alerts when detecting high volume readings.

Vesicus

Feasibility of Converting Recycled Flake from PET Bottles to Lightweight Bricks for Construction

Sponsor:
Vesicus
Project Name:
Feasibility of Converting Recycled Flake from PET Bottles to Lightweight Bricks for Construction
Students:
Yichen Zhang
Haoyang Zhou
Faculty Adviser:
Vipin Kumar, Professor, Mechanical Engineering
About the Project:

PET is the most abundantly recycled polymer. Many companies collect recycled PET bottles of various shapes and colors, and crush them into PET flake. Currently this flake is simply burned to recover some energy from it. Vesicus charged their student team with exploring the potential to foam the flake using the company’s microcellular technology, and then develop a useful product from it. The ideal product is a lightweight brick made of foamed flake or foamed flake mixed with concrete for potential use in the construction industry.

WatchGuard

Advanced Security Compute Module

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Sponsor:
Project Name:
Advanced Security Compute Module
Students:
Benjamin Eastin
Tin Vo
Faculty Adviser:
Scott Hauck, Professor, Electrical and Computer Engineering
About the Project:

WatchGuard products are designed to protect computer networks from outside threats such as malware and ransomware. The student team designed and built a module for storage and computation of network data to be integrated with existing technology to provide user with more information on network traffic.

Witekio US

Over-the-Air Update System for Microcontrollers

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Sponsor:
Project Name:
Over-the-Air Update System for Microcontrollers
Students:
Lerzan Cengiz
Connor Kafka
Anusha Kamat
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Witekio specializes in embedded software with a system level approach, and engineers and integrates intelligent systems software for any device from hardware to the cloud. The student team worked to design and build a secure over-the-air firmware update system for ARM Cortex-M4 microcontrollers that enables device maintenance and management.

Zetron

Internet of Life Saving Things for Firefighters

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Sponsor:
Project Name:
Internet of Life Saving Things for Firefighters
Students:
Tianning Li
Hong Zhang
Shen Yuan Yao
Faculty Adviser:
James K. Peckol, Principal Lecturer, Electrical and Computer Engineering
About the Project:

Zetron is a critical communications technology company that provides integrated command and control solutions and information services for public safety, transportation, utilities, natural resources, healthcare, and academic institutions. The student team was tasked with development of an Internet of Things environmental sensing and communication system for fire rescue operations.