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Industry & Alumni

Industry-Sponsored Student Capstone Projects

In the 2020/21 academic year the industry capstone program was supported by 51 sponsors and 77 real-world projects. Three hundred twenty students from across the College of Engineering participated. Despite a fully virtual environment due to the COVID-19 pandemic, our dedicated sponsors and resilient students collaborated successfully to reach meaningful and impactful outcomes. Scroll down to learn more about each project.

adidas

3D Printed Footwear Component Perception

Sponsor:
Project Name:
3D Printed Footwear Component Perception
Students:
Andrew Ba
Nigel Fernandes
Jessi Lelas
Jarrett Siler
Rylie Sweem
About the Project:

adidas is a global company rooted in sport with a primary focus in scalable 3D printed footwear. adidas strives to understand the relationship between mechanical and material properties and experiential and emotive metrics in 3D printed, lattice-based footwear components. The students worked to form the foundation of “Sensory Standards,” a library that helps to identify the relationship between the mechanical and materials properties of a footwear component and the emotive response it inspires.

Advanced Navigation and Positioning Corporation (ANPC)

Transponder Landing System (TLS) Airdrop

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Project Name:
Transponder Landing System (TLS) Airdrop
Students:
Bea Flores
Michael Matherne
Eric Mutschler
About the Project:

Advanced Navigation and Positioning Corporation (ANPC) makes transponder-based aircraft navigation systems which allow for landing in remote environments and places without traditional airport infrastructure. The Transponder Landing System (TLS) has recently been scaled down from a shipping container form factor to the Small Footprint Precision Approach Landing Capability (SF-PALC) design which makes the whole package able to fit on a 463L pallet- a MIL-STD pallet which is used for transport of items of a variety of shapes and sizes on many different military vehicles and aircraft. The student team worked to design a way to airdrop the TLS from an aircraft in flight, while ensuring the system lands in a target area undamaged, upright, and ready for mission performance.

AeroVironment

Mechanism Development for Autonomous Deployment of a Small UAV from a Puma LE SUAS Secondary Payload Bay

Sponsor:
Project Name:
Mechanism Development for Autonomous Deployment of a Small UAV from a Puma LE SUAS Secondary Payload Bay
Students:
Garrett Jordan
Monica Kim
Max Mcgowan
Icevar Naguleswaran
Devon Smith
Chris Won
About the Project:

AeroVironment is a global leader in unmanned aircraft systems, tactical missile systems and electric vehicle charging and test systems. The company serves militaries and government agencies in the U.S. and more than 35 allied nations, as well as businesses and consumers. The student team worked to design a very small multi-rotor UAV and deployment mechanism that fits within the secondary payload bay of an AV Puma LE to help infantry personnel to scout and survey a variety of targets.

Alaska Airlines

Interactive Layout of Passenger Accommodation (LOPA) Tool

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Sponsor:
Project Name:
Interactive Layout of Passenger Accommodation (LOPA) Tool
Students:
Sandesh Banskota
Michelle Chuang
Alyssa Weed
About the Project:

LOPAs are a standard way to represent the layout of passenger accommodations within an airplane, such as seats and lavatories. They are required by the Federal Aviation Administration to certify an airplane. The student team worked to create a web-based application that provides a seamless user interface for creating LOPAs – with a cloud-based LOPA storage and permission management system – to improve project creation, multitasking, and editing. The student team also worked to integrate part information from all fleets into an easily accessible display system.

Amazon.com Services LLC

Cold Chain Inbound Optimization

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Project Name:
Cold Chain Inbound Optimization
Students:
Phillip Jonay
Alaiyi Lawson
Colette Lerkantitham
Jennifer Helga Mulia
Valentina Valero Nieto
Jimmy Tan
Haifeng Xia
About the Project:

Cold chain logistics refers to the transportation and handling of temperature controlled products such as groceries, pharmaceuticals, and chemical goods. Amazon’s current Freight Inbound (AFI) Network for cold chain delivery is dependent on third party shippers and managed by suppliers. This is not cost effective and prevents Amazon from managing their inbound cold supply chain. The student team created an automated optimization tool for inbound cold chain transportation network that processes the input variable and generates the most cost efficient execution plan for inbound deliveries based on constraints creating a more transparent, informed, timely, accurate and cost effective transportation process.

Applewhite Aero

Baton - A Precision Descent Device

Sponsor:
Project Name:
Baton - A Precision Descent Device
Students:
Joseph Bellevue
Janet Liu
Brian Mach
Haley Stewart
Ethan Uehara
About the Project:

One of Applewhite Aero’s unmanned aerial, precision-delivery systems, the Baton, has two basic functions of payload delivery for critical supplies (e.g. blood plasma or anti-venom) and landing a sensor or sensors (e.g. a matrix of sensors such as temperature, sound, or video monitors). The student team worked to refine the design and increase the reliability, functionality, and utility of the system the Applewhite Baton, to help improve delivering supplies during search and rescue.

ARVR Academy

eCoffee: Remote Ordering Development

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Sponsor:
Project Name:
eCoffee: Remote Ordering Development
Students:
Qihuang Chen
Celeste Cheng
Colleen Park
Yilin Wang
About the Project:

In many current smartphone retail purchase applications, retailers lack foot traffic, exposure to customers, and have difficulties reducing inventory, while consumers lack access to time-limited sale items. The student team worked to design and implement a web interface/retailer dashboard that allows retailers to manually send notifications to customers, and a corresponding customer application that allows customers to place orders.

Blue Origin

Investigation of Transport Erector Bearing In-Service Intervals

Sponsor:
Project Name:
Investigation of Transport Erector Bearing In-Service Intervals
Students:
Jayson Haury
Jerry Hung
Walid Mouss
Xitlalit Sanchez-Martinez
Emerson McNamee
About the Project:

Within the aerospace industry, transport erectors are used to maneuver a shuttle or rocket from a horizontal position into a vertical one. These highly loaded critical structures are often operated in coastal environments, and are therefore prone to corrosion. The student team focused on the bearings found within these complex systems, and developed custom test methods to observe the materials’ behavior when subjected to a corrosive environment. By studying the corrosion and wear response of metals that are commonly used in bearing systems, there is the potential for increased cost saving opportunities, not only in the manufacturing of the part but also in the maintenance performed throughout its lifetime. The student team simulated in-service conditions by carefully selected metals and subjecting them to heat treatment, corrosion, hardness, and tribology testing. From this data, in-service inspection intervals were developed to be used in the maintenance of a bearing part found on a transport erector.

Boeing Employees’ Credit Union

Cloud-Based Voice Recognition Security System

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Project Name:
Cloud-Based Voice Recognition Security System
Students:
Megan Bui
Devyansh Gupta
Kelly Ho
About the Project:

Voice recognition is widely utilized for automatic fraud detection. The student team developed a cloud-based voice recognition security system that helps the bank staff verify new and existing members of BECU.

Boeing

3D Printed Lattice Structure

Sponsor:
Project Name:
3D Printed Lattice Structure
Students:
Brandon Scheer
Chase Bolin
Joshua Gibb
Jordan Hatch
Katherine Adams
Michael Friend
About the Project:

Boeing is interested in assessing the suitability of lattice structures to replace traditionally machined fittings for use in primary structures (fixed leading and trailing edge fittings). The student team worked to create a titanium structural fitting using structural optimization and lattice structures to replace a traditionally manufactured fitting. The team characterized 3D-printed titanium behavior and design, and analyzed and tested creative lattice-type and hybrid geometries to optimize performance.

Boeing

Automated Composite Stringer Trim

Sponsor:
Project Name:
Automated Composite Stringer Trim
Students:
Enke Chen
Alexander Sapronov
Vilina Singla
About the Project:

Boeing Product Development needs a solution for the trimming of a green stringer charge. The stringer is in the cross-section of a T with the blade (aka web) pointing up. The forming operation leaves excess on both the base flange and the blade of the T which must be net-trimmed prior to the next operation. The student team designed a method to stabilize the flexible blade during the trimming operation in order to ensure a high-quality cut and high rate capability. The team also did a failure modes analysis for the design.

Boeing

Carbon Fiber Material Handling Vacuum Pallet

Sponsor:
Project Name:
Carbon Fiber Material Handling Vacuum Pallet
Students:
Juan Alaniz
Haoran (Bill) Ma
Binh Truong
Trinh Vo
About the Project:

The student team worked with Boeing Product Development to explore a linear flow line for handling long, narrow beams that are positioned along the length of an airplane wing or fuselage (called stringers). Carbon fiber pre-preg material is laid up, trimmed, rotated, and transported on a universal handling tool (pallet) that provides indexing to each process cell. The team created a design for the pallet and indexing system, built a prototype that can accommodate material up to 6”x24’’, and demonstrated the ability of the handling tool to automatically connect to a vacuum system and secure and release carbon fiber material of a variety of sizes.

Boeing

Disaster Response Unmanned Aerial Vehicle (UAV) RFP

Sponsor:
Project Name:
Disaster Response Unmanned Aerial Vehicle (UAV) RFP
Students:
Isiah Cuadras
Drake King
Jacqueline Marquette
Howard Peng
Sam Reissman
Eric Rubakha
Quintin Serrano
Victor Xia
Jinhe Xu
Mitsuki Yoneda
About the Project:

In order to help coordinate a response, provide the necessary situational awareness, and maintain open and reliable communications to a large wildfire or hurricane disaster area, a rapidly deployable fleet of autonomous unmanned aerial vehicles (aUAV) is necessary. The fleet of UAVs should communicate with each other and allow coordinated coverage of a large area, while allowing units to swap out when they need refueling. The student team worked to design a medium to high altitude, high endurance UAV, carrying a surveillance payload to provide the necessary information and assist with communications and observations.

Boeing

Machine Learning Platform for Post Process and In-Process Inspection

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Sponsor:
Project Name:
Machine Learning Platform for Post Process and In-Process Inspection
Students:
Youssef Lahrichi
Dakota Matthews
Jonathan Wong
About the Project:

Currently at Boeing camera footage of manufacturing processes are manually filtered through human supervision and require inspection for quality control. The student team worked to help Boeing apply computer vision techniques to automate defect detection and assist with quality control, and created an easy-to-use application to deploy these techniques onto local machines.

Boeing

Mechanical Fixture of Thermoplastic Composite

Sponsor:
Project Name:
Mechanical Fixture of Thermoplastic Composite
Students:
Jonathan Emerson
Alexander Hicker
Shulong Mo
Jennifer Prasetyo
About the Project:

Thermoplastic matrix composites have gained attention as an alternative to thermosets due to their lack of shelf life, recyclability, and their ability to melt and resolidify. Aerospace companies such as Boeing are interested in repairing these parts using epoxy and other thermoset materials, but additional surface treatment is required due to their lower surface energy. Energetic surface treatment methodologies like atmospheric plasma, laser treatment, and UV light have shown promise as a robust method to increase the surface energy before structural bonding. Currently, these surface treatments are controlled by bulky robotic arm systems which are often impractical in terms of costs and accessibility to parts on aircrafts. The student team worked to design and build a prototype mechanical fixture/guidance system that is less expensive and able to attach to the aircraft in any orientation.

Boeing

Powder Bed Fusion Build Characterization Phase 2

Sponsor:
Project Name:
Powder Bed Fusion Build Characterization Phase 2
Students:
Jordan Hatch
Alexander Hicker
Zifan Liu
Aaron Ramos
Reid Schur
Ryan van der Hoeven
About the Project:

Recent advances in titanium powder bed fusion technology offer attractive aerospace design solutions. However, to offer additive parts as competitive alternatives to traditional casting and machined parts, materials and processes resulting in performance variations must be well understood for wider commercial usage. Research and development is needed to understand the influence of key process parameters on material properties. From Phase 1 study conducted by a capstone team last year, students performed in-depth literature research on powder recyclability and effects on performance. In Phase 2 this year, the new student team focused on understanding performance variations resulting from different material supply (same grade of the material but different powder fabrication method and different vendors). The student team built multiple sets of tension coupons from various titanium material suppliers and performed characterization and static testing. They characterized metal properties with respect to the material supply, the processing variations caused by the differences in supply, and root causes for variations in properties. Results will drive recommendations for material supply and process control parameters that optimize performance/quality.

Boeing

Standardization of Boeing Tooling Communication and Information

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Sponsor:
Project Name:
Standardization of Boeing Tooling Communication and Information
Students:
Noah Adamek
Travis Folta
Raymond Fung
Lien Nguyen
Jordan Sims
About the Project:

Tooling at Boeing refers to unique structures and equipment built for very specific production needs (these are individualized and do not refer to traditional tools). Tooling fulfillment is currently inconsistent and fails to meet projected schedules in the 767 Line, resulting in an increasingly large backlog. The student team worked to improve communication, accountability, and order visibility in the Tooling Value System (TVS) to prevent and address tooling order delays.

Boeing

Thermoplastic Chopped Fiber Static Properties Investigation

Sponsor:
Project Name:
Thermoplastic Chopped Fiber Static Properties Investigation
Students:
Julia Flaherty
Will Gottsch
John Leitch
Devin Mays
Emily Robinson
Tanya Wang
About the Project:

The student team investigated the static properties of thermoplastic chopped carbon fiber composites and predicted how these properties change with variations in the orientations of the fibers. The results of this project give early information to Boeing to help streamline design processes for complex parts. With this data, Boeing can more effectively map out the alignment of complex carbon fiber parts to handle the unique stress conditions of these parts, and ultimately eliminate the need to test individual parts. Additionally, utilizing thermoplastic carbon fiber parts gives Boeing more opportunities for diverse, lightweight, and strong materials to manufacture quality airplanes.

Boeing

Thermoplastic Composite Wing #3: Thermoplastic Weld Static Property Investigation

Sponsor:
Project Name:
Thermoplastic Composite Wing #3: Thermoplastic Weld Static Property Investigation
Students:
Dawson Dean-Hill
Mac Fair
Edward Mau
Matteo Soltane
Andrew Vidianto
Jeff Woehlert
About the Project:

Two years ago an interdisciplinary capstone team designed and built a three foot symmetric wing, then tested the wing in the UW low-speed wind tunnel. Last year a ME capstone team designed, but did not build, a 3ft asymmetric wing for use on a Formula SAE car. This team did extensive research on feasible welding techniques to join thermoplastic (TP) composite internal structure with TP composite skin. Building on the past two years of work, this year’s student team developed a feasible welding technique that the students can implement and characterize the strength of the weld. The results will contribute to building a welded thermoplastic wing for a Formula SAE car in the future.

Boeing

Uprights via Ti464AIV Manufacturing

Sponsor:
Project Name:
Uprights via Ti464AIV Manufacturing
Students:
Alexander Biegaj
James Carskaden
Maxwell Ferguson
Jon Freeman
Benjamin Shtunyuk
About the Project:

The student team worked to establish a process for topology optimization (TopOp) and 3D printing of the upright and other parts of an electric formula-style car for the UW Formula Society of Automotive Engineers (FSAE). The upright rigidly transfers loads from the tires and brake calipers to the chassis. A design for the upright was finalized by a capstone team last year that achieved a 24% weight reduction, and a 300% increase in stiffness. This year’s team printed and processed the final design, validated loads, boundary conditions and material properties, and conducted testing to correlate finite element modeling (FEM) results.

Booz Allen Hamilton, UW Applied Physics Laboratory, Naval Undersea Warfare Center Division Keyport

Human-Powered Submarine (HPS) Autopilot

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Project Name:
Human-Powered Submarine (HPS) Autopilot
Students:
Chase Deitner
James Lee
Miller Sakmar
Peter Tsanev
About the Project:

University of Washington Human Powered Submarine is a student organization that races single-occupant submarines around timed courses. The student team worked to provide proportional, integral, derivative (PID) control of the submarine control fins to mitigate unintended roll at high velocities in races.

Cyberworks Robotics

Autonomous Self-Driving Wheelchair Lateral Drift

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Project Name:
Autonomous Self-Driving Wheelchair Lateral Drift
Students:
Joshua Mauer
Yesibao Muhamati
Cheng Zhu
About the Project:

Autonomous Wheelchairs increase freedom and ease of mobility for the most vulnerable people in society. However, their autonomous navigation suffers from occasional loss of loop closure and localization. This can be disastrous in the real world either in a hallway, roadway, or sidewalk. The student team worked to develop a system that uses camera vision to check for lateral drift of the wheelchair from the desired path.

FUJIFILM Sonosite

Left Ventricular Opacification Feature for Point of Care Ultrasound

Project Name:
Left Ventricular Opacification Feature for Point of Care Ultrasound
Students:
Renee Nahum
Katie Thien
About the Project:

Left Ventricular Opacification (LVO) provides a means to better visualize the left ventricular cavity with contrast-enhanced ultrasound (CEUS) imaging (using microbubble contrast agents). Point of Care (POC) users are typically interested in delineating the left ventricle border for qualitative assessment of the ejection fraction and for visualization of the significant anatomical features of the heart in emergency or critical care situations, and would use LVO on patients whose body habitus makes this difficult with echo imaging alone. The student team worked to evaluate the FFSS LVO feature on the transthoracic echo (TTE) transducer for POC applications and suggested technical specifications for an LVO mode as well as an improved prototype setting.

Goodwill

Seattle Goodwill E-Commerce Physical Growth Plan

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Sponsor:
Project Name:
Seattle Goodwill E-Commerce Physical Growth Plan
Students:
Apoorv Bansal
Nathan Klaff
Joleen Lawson
Carisa Lin
Tiffany Yam
About the Project:

Seattle Goodwill’s e-commerce has been expanding rapidly with increased growth expected. The student team worked to design a streamlined facility, improve existing processes, and create a flexible design that allows for expansion and future improvements to optimize the effectiveness of Seattle Goodwill’s e-commerce sector. The team created a process-based layout with a CAD drawn floorplan that significantly increases the items that are processed per month, improved the flow of items, and allows for future expansion.

HashiCorp

Nomad Deployment Recipes

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Sponsor:
Project Name:
Nomad Deployment Recipes
Students:
Ziheng Lin
Kai Tan
Rizheng Tan
About the Project:

The student team worked to develop an open source command-line utility and Application Programming Interface (API) to support single-command application deployment and service catalogs (chart repositories) in Nomad, HashiCorp's workload orchestration and scheduler.

Intel

Rise of Web-Based Computing Trends on Client Side

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Sponsor:
Project Name:
Rise of Web-Based Computing Trends on Client Side
Students:
Aditya Karan
Alex Wang
Rui Yang
About the Project:

The student team worked to explore behaviors and trends of web-based usage and specific user hardware attributes, to identify trends in user behavior that might be helpful for future CPU development.

Just Biotherapeutics

Developing an in Silico Modeling Approach for Protein Purification Process Development

Project Name:
Developing an in Silico Modeling Approach for Protein Purification Process Development
Students:
Benedicte M. Diakubama
Diego Alba Burbano
Julia King
Kaylyn Torkelson
Yu-Chi Feng
About the Project:

Therapeutic proteins, an important class of drugs for many disease areas, are typically produced in bioreactor cell culture systems. Bioreactor outlet streams contain many non-product components of the cellular machinery, so therapeutic proteins must be isolated with downstream purification steps. Proteins are typically purified by liquid chromatography, where packed bed columns selectively remove the target protein or impurities from the complex bioreactor feed stream. Purification process development (PD) requires extensive experimentation for every new drug development campaign because the optimal chromatography process depends intimately on the surface chemistry of the target protein. The time and cost of purification PD could be reduced by replacing some or all of this experimentation with computational modeling. The student team worked to build and characterize inferential models to predict protein chromatography behavior from molecular properties.

Latécoère

Additive Manufacturing Spring Rod

Sponsor:
Project Name:
Additive Manufacturing Spring Rod
Students:
Benjamin Lewis
Giovany Lopez
Mehmet Volkan
About the Project:

Rod springs are widely used in aircraft door mechanisms to secure component and mechanism positions. Conventional manufacturing technologies use a spring and guiding mechanism, assembled in three parts. Last year a student capstone team demonstrated that it is possible to design a spring rod in one single element (without assembly) using 3D printing. This year’s student team manufactured, tested, and iterated the design, validated against FEA analysis, and developed a parametric design tool to aid in the design of family of similar springs. The testing covered compression testing, stiffness characterization, fatigue, humidity effects, and the effects of internal friction, hysteresis, and strain relaxation.

Latécoère

Linewidth Enhancement Factor Measurement for Radio over Fiber Simulation over Multimode Optical Fiber

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Sponsor:
Project Name:
Linewidth Enhancement Factor Measurement for Radio over Fiber Simulation over Multimode Optical Fiber
Students:
Jade Cutter
Shawn Fisher
Matthew Yerich
About the Project:

Currently aircraft primarily use flexible steel cables and coax cables for control systems; however, the data demand of these systems is increasing exponentially. Optical communication systems utilize light, transmitted over fiber-optic cables, to deliver signals between computers and offer many advantages over electrical systems, such as low power consumption and high data transfer rates. Single-mode fiber (SMF) is well-characterized but transmits only a single signal and is sensitive to vibration and thermal instability, so multimode fiber (MMF) would be more advantageous. The student team worked to characterize a SMF signal with a physical test bench that can determine linewidth, or a way to quantify the received signal’s power and quality in order to determine the respective qualities of both SMF and MMF signals and determine whether MMF is appropriate for aircraft applications.

Latécoère

Spherical Bearing Function Performed by Elastic Bearing

Sponsor:
Project Name:
Spherical Bearing Function Performed by Elastic Bearing
Students:
Nebiyou Abunie
Dawson Bowhay
Max Chiang
Sam Winters
About the Project:

Spherical bearings are used in mechanical design to address misalignment. These bearings are costly for a small component and have a complicated assembly process. Replacing a spherical bearing with a plain bearing means the capability to self-align is lost resulting in a poor contact distribution in the bearing (i.e., line or point contact). The student team designed a one piece bearing that is additive manufactured and has a contact surface that can accommodate the required loads under misalignments of up to 3° while still providing the required radial positioning. The team tested strength, bending, stiffness, and friction.

Lockheed Martin

Open Source Data Hub for Prognostics and Health Management

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Sponsor:
Project Name:
Open Source Data Hub for Prognostics and Health Management
Students:
Cecilia Barnes
Jiwoo Park
Matthew Sullivan
About the Project:

The student team worked to make state-of-the-art machine learning and artificial intelligence techniques more accessible to engineering domains by providing suitable benchmark datasets with interactive tutorials for advancing prognostics.

McKinstry Co., LLC

Reducing our Carbon Footprint, One Building at a Time

Project Name:
Reducing our Carbon Footprint, One Building at a Time
Students:
Norberto Chavez-Verduzco
Isabelle Eelnurme
Connor Nathan
Benjamin Rusch
Marina Safonov
About the Project:

By some estimates, building operations and construction account for more than 50% of the carbon footprint of the United States. For decades, great attention has been placed on reduced energy use in buildings. However, in the last few years, awareness has grown that the carbon created in the construction of buildings (known as embodied carbon) is of critical importance. The Carbon Leadership Forum at UW has been a center of thought leadership in reinventing buildings structures and systems to have substantially lower embodied carbon. Mechanical, electrical, and plumbing (MEP) components of new construction buildings can result up to 10-15% of the total embodied carbon of a building design. The student team set out to find ways to reduce the carbon footprint of building MEP systems.

Membrion

Techno-Economic Evaluation of Water Treatment Methods for Hardness Reduction

Sponsor:
Project Name:
Techno-Economic Evaluation of Water Treatment Methods for Hardness Reduction
Students:
Boaz Brown
Julien Butwin
Gareth Jon Hunt
Elias Ortega
Elizaveta Panova
Nick Stewart
Ruiqing Xiao
About the Project:

Water hardness plagues many commercial and industrial users; there are numerous disparate technologies to address the challenge. However, the performance of these technologies are rarely directly compared and never compared on a CAPEX/OPEX & levelized cost basis. The student team worked to investigate the performance of various water purification technologies for the purpose of determining which technology can best address water hardness issues, and worked to establish a baseline for four technologies: Reverse Osmosis, Chemical Treatment, Ion Exchange Resins & Electrodialysis Reversal.

Microchip

Anomaly Detection for Disaster Prevention in an Industrial Setting

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Sponsor:
Project Name:
Anomaly Detection for Disaster Prevention in an Industrial Setting
Students:
Rafael Laya
Umair Liaqat
Yujia Liu
About the Project:

Industrial equipment degrades with time, making it hard to predict when a potentially costly system failure will happen. In certain cases, equipment’s acoustic signatures change as a result of degradation. The student team worked to demonstrate the ability of Convolutional Neural Networks (CNNs) to detect various acoustic anomalies, help improve performance metrics, and perform inference.

Microsoft

Apply the Design Pattern of Entity Component System (ECS) for a Cross-Platform Network Layer

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Sponsor:
Project Name:
Apply the Design Pattern of Entity Component System (ECS) for a Cross-Platform Network Layer
Students:
Roee Horowitz
Erik Huang
Roger Liao
About the Project:

Minecraft's game engine is built on an ECS architecture, but currently its network and replication system is outside of the ECS. The student team worked to build a sandbox multiplayer game with an ECS engine using EnTT game programming library. The team also built a replication system around that game and recommend a design pattern for an ECS replication system for Minecraft that assumes a reliable data transfer protocol.

Microsoft

Build an AI Behavior System for Minecraft

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Sponsor:
Project Name:
Build an AI Behavior System for Minecraft
Students:
Samuel Kim
Batina Shikhalieva
Alaa Sleek
About the Project:

Minecraft has over 131 million active users each running more than 300 mob entities per game. Mob entities compete for resources and produce high load on the Minecraft server. The student team worked to optimize mob behavior by implementing AI algorithms to improve game performance and reduce the server cost usage.

Microsoft

Improve Minecraft Pathfinding

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Sponsor:
Project Name:
Improve Minecraft Pathfinding
Students:
Rocky Zhenxiang Fang
Sisir Kadiveti
Arman Kazi
Hanze (Simon) Zhang
About the Project:

In the world of Minecraft, there are many different types of mobs with distinct mob sizes and moving abilities. The current pathfinder in Minecraft has a very high time complexity in helping a mob with sizes larger than 1x1 find the optimal path to its target. In addition, Minecraft is limited in the types of blocks they can add due to limitations in the pathfinder. For example, vertical slabs create unique challenges that the existing blocks do not have. The current pathfinder in Minecraft cannot find the optimal path if the optimal path involves partial blocks. The student team worked to run pathfinder with various mob sizes with partial blocks, determining that Big O runtime is not affected when all search notes are generated before pathfinding.

Microsoft

Minecraft Save Test Framework

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Sponsor:
Project Name:
Minecraft Save Test Framework
Students:
Christopher Alexander
Kuang-Hsuan Lin
Veen Oung
About the Project:

Minecraft Bedrock edition is currently utilizing “LevelDB” to save worlds data. This works well, however Minecraft is pushing the technology to the limits. The student team worked to develop a testing framework in C++ that can be used to test and evaluate key/value store implementations in order to allow future Minecraft developers to easily experiment with “LevelDB” replacements.

MilliporeSigma

Bag Handling Optimization

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Sponsor:
Project Name:
Bag Handling Optimization
Students:
John Boyle
Siena Firestone
Marina Hutchison
Christopher Lo
Sam Rich
About the Project:

MilliporeSigma currently uses two lab technicians to perform sampling, which involves holding the bags, sampling the media and returning the bag to the holding bin. The student team worked to develop a solution to improve the long-term efficiency and reduce the number of lab technicians by assisting them in the bag handling process without causing cross contamination. The team built and tested a final prototype featuring an ambidextrous handle and ratcheting clamp that is used by a single lab technician, supports media filled bags upright without spilling, and makes media sampling easier.

Mobility Innovation Center (MIC) and Sound Transit

MIC Park & Ride Project

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Project Name:
MIC Park & Ride Project
Students:
Heng-Yin Chou
Hang Mai
Ciel Sun
About the Project:

The student team worked to help the UW Mobility Innovation Center (MIC) and Sound Transit create a cost-effective electronic system to gather data about the utilization of parking spaces and to share more accurate information about parking availability.

Moonbeam

Moonbeam 3D Ideation Tool

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Sponsor:
Project Name:
Moonbeam 3D Ideation Tool
Students:
Ryan Park
Collin Pernu
Rachel Rodney
About the Project:

Moonbeam uses virtual reality and artificial intelligence to transform the future of remote creative collaboration. They build tools to help corporate innovation groups work more effectively with startups without the constraints of geography. The student team worked to develop features to support remote collaboration through diagramming within VR.

MWD Technology & Innovation Center

Improving BaTi03 Dielectric Capacitor Operating Temperature

Project Name:
Improving BaTi03 Dielectric Capacitor Operating Temperature
Students:
Savannah Camacho
Kavish Chandra
Kristine Lam
Sarah Little
Chase Mersberg
About the Project:

MWD Technology & Innovation Center LLC & CalRamic Technologies LLC specialize in processing low and high voltage ceramic capacitors. These companies seek to push the limits of current class 2 dielectrics by processing dielectrics operable above 225˚C with greater than 10 M-ohms of resistance. Such devices would benefit aerospace systems, satellite systems, military systems, geothermal detection devices, etc. The student team worked with current MWD BaTiO3 dielectrics, tested the effects of compositional changes and modified sintering conditions on the device resistivity using electrical impedance spectroscopy with a goal to raise operating temperature for BaTiO3 dielectrics in capacitors without reducing charge storing ability and to build a framework for future efforts.

NASA Jet Propulsion Laboratory (JPL)

Cooperative Autonomous Distributed Robotic Exploration (CADRE) R&D

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Project Name:
Cooperative Autonomous Distributed Robotic Exploration (CADRE) R&D
Students:
John Brugato
Jack Chuang
Yi-Lin Liu
Jinghui Song
About the Project:

The Cooperative Autonomous Distributed Robotic Exploration (CADRE) project led by NASA is an initiative focused on the creation of a network of shoe-box-sized mobile robots that could enable future autonomous robotic exploration of the moon, Mars, and beyond. The student team worked to create a software stack to facilitate joint navigation between multiple robotic operators. Additionally, the team created design proposals for improved mobility and charging by creating an improved robotic tail, creating a charging platform, and creating a circuit designed to characterize solar cell efficiency, taking into account dust and debris accumulation on the cells.

Novo Nordisk

Beta Watch: Reducing Patient Burden

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Project Name:
Beta Watch: Reducing Patient Burden
Students:
Brendan Ball
Victoria Eng
Anne Garner
Abhay Kumar Mahavir Bohra
Honglam Van
About the Project:

Chronic illness, defined as any disease that requires at least one year of ongoing medical attention, affects half of all American adults and at least 7% of American children, and is particularly devastating in underserved communities in the US where they are contracted at a higher rate than the national average. The economic burden of chronic illness, such as diabetes, obesity, and cardiovascular disease, in the US is unprecedented. Chronic illness also imposes great psychological distress and reduces quality of life for diagnosed individuals and their loved ones. There is growing evidence showing positive outcomes in self-management of chronic diseases with behavioral interventions. However, many of these solutions require active monitoring and burden the patient and caregiver with the need for constant monitoring. The student team tackled the needs of young Type 1 Diabetes (T1D) patients to help manage and monitor symptoms to reduce daily stress and burden associated with T1D. Beta Watch is a medical storage accessory that can attached to a mobile phone and safely and discretely houses all daily essentials of T1D care. Paired with an educational, T1D tracking mobile application, Beta Watch helps T1D patients manage the burdens associated with the chronic illness.

Novo Nordisk

Under Pressure: Measuring Continuous Blood Pressure

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Project Name:
Under Pressure: Measuring Continuous Blood Pressure
Students:
Audrey Shin
Michael Chungyoun
Haonan Peng
Shiraz Shahukar
About the Project:

Hypertension and diabetes mellitus are both common conditions that have a high prevalence of co-existence, and are also highly associated with obesity. These conditions are considered risk factors for many diseases, including coronary artery disease, cerebrovascular disease, renal failure, and congestive heart failure, so treatment of these conditions is essential. Monitoring blood pressure is a key factor in managing the co-existence of these conditions. Blood pressure is currently measured using inflatable sphygmomanometer; however these measurements need to be made by a health care worker or at home using an automated tool. Blood pressure can vary greatly over time due to various influences such as diet, stress, body position, temperature, and a wide variety of other factors. For this reason, it is difficult to obtain an accurate baseline blood pressure reading and understand how various interventions and lifestyle choices impact blood pressure. The student team worked to develop a method for unobtrusively measuring blood pressure several times a day to provide accurate information to clinicians and researchers aiming to reduce the hypertension and improve outcomes for chronic illnesses.

Nutanix

Infrastructure Power Management System “PowerMan”

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Project Name:
Infrastructure Power Management System “PowerMan”
Students:
Apurv Goel
Christian Lancaster
Wenxuan Yang
About the Project:

Nutanix is a cloud computing company that offers a variety of services for on-premises and hybrid cloud deployments. Nutanix offers a disaster recovery service, Xi Leap, which utilizes Nutanix’s own data centers to provide reliable storage for disaster recovery. Presently, the Nutanix data centers do not have a central solution for power management. To perform even a trivial power cycle operation, they must file an IT ticket, which is costly in terms of time and human labor. The student team worked to design a system as a microservices type application, developing on local Kubernetes cluster, to provide workload isolation and scalability, including processing incoming requests, securely communicating with devices in the Nutanix data center, and returning a response to the user.

PACCAR

Autonomous Trucks: Camera-Radar Sensor Fusion for Object Classification and Tracking

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Project Name:
Autonomous Trucks: Camera-Radar Sensor Fusion for Object Classification and Tracking
Students:
Henry Hung
Kushagra Kumar
Dale Simpson
Jason Xie
About the Project:

Reliable visual perception plays a critical role in enabling autonomous vehicles to safely navigate unseen, unstructured environments. In order to anticipate and avoid obstacles, such a perception system needs to detect, classify, localize, and track dynamic objects within range of the vehicle. Many perception systems in state-of-the-art autonomous vehicles rely on LiDAR (light detection and ranging) to produce an accurate geometric representation of the vehicle’s environment; however, such systems can be costly to acquire and maintain. The student team worked to create a system to that helps with 3D object classification, detection, and tracking of dynamic objects to improve motion planning and navigation in autonomous driving.

PACCAR

Autonomous Trucks: Thermal Imaging Camera-Machine Learning for Object Classification

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Project Name:
Autonomous Trucks: Thermal Imaging Camera-Machine Learning for Object Classification
Students:
Usman Khan
Mrinalini Mohanram
Xinyue Sun
About the Project:

Many autonomous vehicle systems in development today rely on traditional color video in addition to LiDAR and/or Radar information to identify and localize objects surrounding the vehicle by utilizing Deep Neural Networks. Unfortunately, some classes of objects such as pedestrians and cyclists can be difficult to identify. The student team worked to analyze the possibility of using thermal imaging data instead of camera data, and developed a Neural Network to optimize performance.

PACCAR

Chassis Joint Stiffness Study

Sponsor:
Project Name:
Chassis Joint Stiffness Study
Students:
Elliott Leisen
Phillip Duong
Chandler Heintz
Levi Gilstrap
Albert (Charles) Dierckes
About the Project:

To accurately model the dynamics of a tractor semi-trailer, it is important to accurately model joint stiffness within the chassis and attached components. There are several ways in which joints can be modeled in simulation, but it is difficult to say which is most correct for stiffness without physical testing. The student team planned and conducted physical tests of some typical joints found in a tractor chassis to measure their stiffness, created finite element models to replicate the tests, and compared simulation and test results to determine the most accurate way to model the joints. They ultimately analyzed test results to choose the best joint model(s).

PACCAR

Large Part Light Weighting

Sponsor:
Project Name:
Large Part Light Weighting
Students:
Keli’i Clark
Logan McKinney
Lucas Palacio
An Pham
Genya Shimada
Brooke Taylor
About the Project:

The student team worked to select a new composite material for the roof structure of the Peterbilt 579 Ultraloft truck manufactured through PACCAR. The goal of the project was to select a composite roofing material that will provide better mechanical properties than the current randomly oriented glass fiber sheet molded composite (SMC) while not spending more than $3 per pound of weight saved in overall structure. The team conducted mechanical testing of selected carbon fiber composites to compare to the original SMC material, performed a cost analysis on the manufacturing process for the new composite, and conducted a roof crush test simulation through finite element analysis (FEA) to demonstrate how the new composite will meet and exceed the properties of the old material.

PACCAR

New Stress Durability Fixture for Adhesive Validation

Sponsor:
Project Name:
New Stress Durability Fixture for Adhesive Validation
Students:
Andrew Nadeau
Kevin Airis
Ting Hsuan (Sophia) Tsai
Vince Smith
About the Project:

Residual stress can lead to premature failure and reduced durability of bonded joints. Most test methods for predicting long-term performance of bonded joints decouple aging and environmental conditioning from constant- or cyclic stresses. Other test methods that apply stress during environmental conditioning do not record stress during tests and are susceptible to changes in stress as the fixture and load-train thermally expand and contract. The student team worked to develop a test fixture capable of applying, measuring, and adjusting stress in bonded joints during exposures simulating thermal-shock, high-temperature processing, and environmental aging.

PACCAR

Remote In-Vehicle User Testing

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Project Name:
Remote In-Vehicle User Testing
Students:
Lisa Beresford
Yuxi Chen
Langston Golver-Castro
Neil Lockwood
Amy Pham
Kristen Jayne Rudnick
Rui Yang
About the Project:

With the onset of COVID-19, user testing for PACCAR trucks significantly decreased. The student team worked to improve the user testing process, meet safety guidelines, and practice social distancing to allow truck testing to resume remotely. Their solution was required to be completely remote, flexible, maintain WiFi connection at all times, and not distract the driver.

Piqard

Spherical Drive Robotic Platform

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Sponsor:
Piqard
Project Name:
Spherical Drive Robotic Platform
Students:
Ariel Chang
Billy Lin
Wilson Martinez
Junyi Wu
About the Project:

Currently robots’ movements are not very maneuverable for traveling in multiple directions. The student team worked on building a prototype for a self-balancing spherical robot that can be more flexible, agile, and overall, more maneuverable.

Seasalt.ai

ngMeeting: Live Meeting Transcription and Action/Topic Summarization

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Project Name:
ngMeeting: Live Meeting Transcription and Action/Topic Summarization
Students:
Hong Liang Chen
Jordan Hsu
Kristiana Soranaka
About the Project:

To help aid effective decision-making following a meeting, as well as extensive note taking during a meeting, the student team worked to increase the accuracy of ngMeeting, a meeting transcription system that records in-person and telephone meeting conversations to make spoken communications close to real-time, accurate, and easily searchable and actionable.

Seattle City Light

Managed EV Charging

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Project Name:
Managed EV Charging
Students:
James Clough
Kelsey Foster
Reese O’Craven
Tran Quach
Carmen Twitchell
About the Project:

The student team worked to write a transportation electrification plan including solar generation for UW Transportation and for Recology, as well as develop a software tool to schedule and allocate charging for an EV fleet that meets operational requirements while optimizing the demand for solar grid capacity. The software tool and transportation electrification designs will help UW transportation achieve its goal of reducing the university’s carbon footprint to 45% in 2030 and help Recology electrify its fleet efficiently in the near future.

Sironix Renewables

Efficient Purification of Green Surfactants

Project Name:
Efficient Purification of Green Surfactants
Students:
Zane Acosta
Karl Gilmore
Alex Hayes
Sedona Munguia
Melody Potratz
Margarita Quintana Salas
Eric Wang
Dylan Woods
About the Project:

Sironix Renewables is a growing start-up company exploring manufacturing routes to a new line of plant-based surfactants. These high performance green surfactants include personal care, industrial, and agricultural applications, among others. Sironix is exploring multiple synthetic routes to produce materials in an economically-viable and environmentally-responsible manner. In one iteration, a patented series of reactions is carried out to produce the surfactant precursors, followed by a series of separations and purifications, recycling of solvents and unused reactants, and treatment of waste streams. The advantage of this specific process is a facile synthesis of the desired materials, while drawbacks include the use of multiple solvents and the production of several waste streams that must be mitigated or disposed of. While the technology and practice of the reactions for this route are well established by the company, a thorough design and analysis of the downstream separations required for an industrial scale production based on this technology needs to be conducted. The student team worked to evaluate separation methods to identify one or more suitable purification methods for each of the separation challenges in this process, optimized the separation train(s) using a process simulator, conducted an economic analysis to determine the most beneficial separation method, and incorporated the economic analysis with provided technoeconomic data for the overall process, to determine the financial viability of the process as a whole.

Starbucks

Automation of Time and Motion Data Collection Processes

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Project Name:
Automation of Time and Motion Data Collection Processes
Students:
Daelyn Bergsman
Will Locatelli
Audrey Slater
Sara Stavaski
Payam Vafadari
Bill Zhao
About the Project:

Time and motion studies are the basis of determining how much labor is required to staff Starbucks stores to support customers and inform business decisions on new beverage, food and equipment programs. While important, time and motion studies are resource intensive, and can be unreliable and prone to error. The student team worked to prove the feasibility of a system that could accurately recognize one key object manipulation activity in the Starbucks store and time how long it took to complete by utilizing transfer learning with machine learning models to classify human actions with video data.

Stryker

Intelligent Mode Selection for Synchronized Cardioversion

Sponsor:
Project Name:
Intelligent Mode Selection for Synchronized Cardioversion
Students:
Megana Boddam
Kendall Escene
Ifrah Javed
Alexandra Sestero
About the Project:

Synchronized cardioversion (sync cardio) is a frequently used therapy for the treatment of potentially life-threatening arrhythmias such as atrial fibrillation and pulsatile ventricular tachycardia. Sync cardio is a therapeutic electrical shock delivered at a precisely controlled time point in the cardiac cycle. Incorrect shock timing can lead to ventricular fibrillation (VF)—a lethal arrhythmia. Devices that perform sync cardio can also deliver unsynchronized defibrillation shocks and have different operational modes for defibrillation and sync cardio. Being in the wrong device mode for the intended therapy can have major adverse consequences leading to patient death. For example, applying a defibrillation shock to a patient who should have received sync cardio can lead to VF. On the other hand, being in sync cardio mode when a patient is in VF can prevent the device from delivering a lifesaving defibrillation shock. Decades of post-market device surveillance indicates that such adverse events are rare but continue to occur. The student team worked to develop a novel monitor/defibrillator feature that intelligently selects the appropriate device operating mode, and either advises the operator or automatically switches to that mode. The greatest lifesaving impact is expected where healthcare providers are either inexperienced or need to use a variety of device models.

Stryker

Wireless Airway Management Systems for Emergency Medical Applications

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Project Name:
Wireless Airway Management Systems for Emergency Medical Applications
Students:
Abhyudaya Gupta
Leo Lam
Majid Zare
About the Project:

Capnography is the waveform that shows how much CO2 is present at each phase of the respiratory cycle. End-Tidal CO2 (ETCO2) is the partial pressure of CO2 detected at the end of exhalation. The value is normally 35-45 mmHg. Existing capnography devices utilize side stream technology, which is inconvenient, messy, and bulky, and does not provide Emergency Medical Technicians (EMTs) with the most helpful, real-time feedback. The student team worked to create a portable capnography device that is capable of measuring End-Tidal CO2 from the exhaled breath of patient, as well as inspiratory and expiratory flow rate and airway system pressure so that EMTs can know, real-time, whether they are ventilating a patient properly.

Stryker

Wireless Blood Oxygenation Sensor: Refactoring Prior Work

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Project Name:
Wireless Blood Oxygenation Sensor: Refactoring Prior Work
Students:
Kevin Liang
Zack Lynch
Tanner Poling
About the Project:

The student team worked towards designing a wireless pulse oximetry measurement device capable of measuring SpO2, SpCO and SpMET. The project is a continuation from a project last year in 2019/20. This year’s team iterated on last year’s device by refactoring and simplifying the system design to make the device more compact and suitable for use in real medical settings.

T-Mobile

T-Mobile Programmable Narrowband IoT Button

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Project Name:
T-Mobile Programmable Narrowband IoT Button
Students:
Brian Hsu
Isaac Li
Akkshaj Singh
About the Project:

Achieving customized functionality on NB-IoT (Narrowband Internet of Things) devices can be time and resource intensive. Creating a single, customizable device would essentially eliminate the development process and give the user great flexibility. The student team worked to create an end-to-end NB-IoT device which communicates over the T-Mobile narrowband network. Deliverables included a frontend web application, a backend for data storage, an IoT portion, and interconnections that execute automated functions.

T-Mobile

Is This SIM a Drone?

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Project Name:
Is This SIM a Drone?
Students:
Brian Arnold
Yu-Jen Chen
John Keller
About the Project:

SIM card usage in drones is increasingly popular because it provides longer range (cellular) connection than Wi-Fi or Bluetooth. The problem with this trend is that base station antennas are optimized for terrestrial coverage and drone SIM usage can cause interference as well as expose networks to security issues. Technology exists to accommodate for SIM usage in a drone, i.e., telecom providers offer drone-specific data plans. The student team worked to use a logistic regression model to help T-Mobile find a way to identify customers using SIM cards on cellular data plans to connect those clients to the appropriate technology for their needs.

Talking Rain

Kitting Facility Supply Chain Analysis and Refrigerated Freight Prediction

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Project Name:
Kitting Facility Supply Chain Analysis and Refrigerated Freight Prediction
Students:
Kibrom Berhane
Hirza Nazhari
Connor Nehls
Amy Shao
Emma Utley
About the Project:

Talking Rain is a fast-growing beverage company known for their popular brand, Sparkling Ice. They are interested in reducing costs in their supply chain by scheduling fewer unnecessary refrigeration trucks and implementing a centralized kitting system. The student team built an optimization model that finds the optimal city to locate the kitting facility to minimize total transportation costs.

Talking Rain

Logistics of the Implementation of a Concentrate Kit

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Project Name:
Logistics of the Implementation of a Concentrate Kit
Students:
Chyson Acoba
Will Christison
Gabe Enberg
Christina Europa
Mariam Nader Hussein
Daniel Le
Julius Liang
Patricia Rustam
Alexandra Salim
Gannon Short
Algird Zalpys
About the Project:

The Talking Rain Beverage Company is the creator of the beverage Sparkling Ice. Currently, Sparkling Ice is created directly from raw material at both the Talking Rain facilities and copackers. This process could be improved using a concentrate kit which would decrease cost, processing time, error rate, and required storage space. The student team worked to calculate the required storage space for the current demand, find the feasibility of implementing the concentrate kit system, and give concentrate implementation recommendations.

TE Connectivity

Design of High Speed Rotary Insertion Mechanism

Sponsor:
Project Name:
Design of High Speed Rotary Insertion Mechanism
Students:
Maryam Bahadori-Nejad
Caleb Hyun
Sig Johnson
Yiru Lin
Eva Soegiantoro
About the Project:

The TE Connectivity Automation Manufacturing Technology (AMT) team is looking for innovative designs for a rotary insertion machine. An insertion machine is used to insert metal contacts into a plastic housing to form a connector part. Most insertion machines today have horizontal or vertical motions, which involves a change in direction after every insertion. A rotary insertion machine would not have to change directions, increasing the speed of the process. This rotary design would enable potentially higher speeds of the insertion process than what is achievable through linear motions. The student team designed prototypes, analyzed them using simulations, and created a final design model in CAD of the rotary insertion machine.

TE Connectivity

Optimization of Scheduling for Manufacturing Processes

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Project Name:
Optimization of Scheduling for Manufacturing Processes
Students:
Ryan Cheng
Kyle Luiten
Yash Raj Sinha
Eugene Tou
Max Yang
About the Project:

TE Connectivity designs and manufactures connectivity and sensor parts. The Automation Manufacturing Technology team is looking to minimize total inventory and production costs on their Universal Mate-n-Lock manufacturing processes. Currently, connector assembly machine schedules do not include low volume parts resulting in a sub-optimal process. The student team built a tool to improve demand forecasts based on historical values, recommend optimized sequences for scheduling, and recommend minimum order quantities for low volume parts.

Telenav

Error Detection of Text Queries Transcribed from Voice Input

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Project Name:
Error Detection of Text Queries Transcribed from Voice Input
Students:
Bob Lin
Aravind Narayanan
Zhuoran Zhou
About the Project:

People use their voices for in-car navigation systems. However, the system might have trouble processing exactly what the user says, depending on noise from surroundings and accents. The system will come up with a few strings for what the user could have said. For example, if the user said “university,” then the system’s voice processor might hear two possibilities: “university” and “universe city.” The student team worked to rank these possible queries in order of likelihood of what the user actually meant in order to help increase in-car navigation system accuracy.

Toray

Toray Data Management System

Sponsor:
Project Name:
Toray Data Management System
Students:
John Foster
Vivian Huynh
Erin Mee
Yulun Wu
About the Project:

Toray is a cutting edge carbon fiber composites manufacturing company continuously developing high performance materials for companies like Boeing whose aircraft have increasingly utilized composites for their high strength to weight ratio. The composite development Toray is involved in generates vast amounts of data that is currently only being stored in Windows files system, with cross-experiment analysis only possible through Excel. The student team worked to create a data management tool to improve data accessibility and streamline cross-experiment analysis. The solution is capable of storing raw data, recording extracted values from data sets, and analyzing sample sets based on designated parameters, all through a user-friendly UI. The database was designed following relational database normalization forms to reduce redundancy and ensure data integrity. This improved data management has the potential to be the groundwork for advanced data science technologies at Toray which are increasingly becoming essential in the research and development of modern materials.

Tupl

Intelligent Chatbot for Customer Support

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Project Name:
Intelligent Chatbot for Customer Support
Students:
Mingcun Fan
Yifu Wu
Keyi Zhou
About the Project:

Tupl, Inc. is a technology company that provides technical services and support to a variety of companies. Tupl sought to design an intelligent chatbot that can accurately and efficiently address the needs of a phone company’s customers. While the chatbot is usually powered by natural language processing and machine learning, the student team worked to have the chatbot identify user intent from text input, as well as classify a user’s problem, respond with logical answers, and take correct actions according to different customers’ situations.

UW Applied Physics Laboratory

Measuring Thickness of a Melt Jacket Around a Melt Probe Descending Through Glacial Ice

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Project Name:
Measuring Thickness of a Melt Jacket Around a Melt Probe Descending Through Glacial Ice
Students:
Nicholas B. Iaroslavtsev
Forrest Miller
Zeyu Ye
About the Project:

The University of Washington Applied Physics Lab (APL) and NASA Jet Propulsion lab have designed melt probes to study water under thick layers of ice on “Ocean Worlds” of the solar system such as Europa. The problem with the current probe is that there is no way of determining the melt jacket thickness around the probe, while it is deep under the ice. This data is required to prevent the probe from being trapped due to water freezing around it. The student team worked to design a hardware and software solution that would measure the melt jacket thickness, using piezoelectric transducers.

UW College of Engineering

Fiscal Web Portal ENGINE Phase II

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Project Name:
Fiscal Web Portal ENGINE Phase II
Students:
Xiaotong Yang
Yusie Yao
About the Project:

Currently, the College of Engineering lacks a modern tool to manage requests for administrative services, specifically financial transactions. The student team worked to design and develop a web application that serves as an advanced ticketing tool for UW College of Engineering departments to manage fiscal related tasks (reimbursement, travel, purchase, etc.) from users' request submission through fiscal staffs' approval or denial.

UW Department of Electrical & Computer Engineering, National Science Foundation

Blockchain and AI Algorithms for Disaster Response

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Project Name:
Blockchain and AI Algorithms for Disaster Response
Students:
Milad Fotouhi
Jiarong Qian
Nanhsun Yuan
About the Project:

In the immediate aftermath of a mega-quake, all disaster response agencies and personnel will be completely overwhelmed. External help (primarily from the government) is unlikely to come immediately after a disaster. If neighborhoods rely mostly on such help, as is currently the status quo, it is likely there will be more fatalities and greater economic loss. As a result, neighborhoods are urged to prepare for community-based survival for up to three weeks. This means that residents must be able to share useful information, carry out essential activities (e.g., staying cool/warm in summer/winter, securing food), and use effective socially integrated technological solutions to enhance their ability for survival and real-time response. The student team worked to develop technologies that enable real time information gathering and sharing (while safeguarding privacy), and solutions for efficient resource matching by leveraging social ties.

UW Medical Center

Cyclotron Beam Current Amplifier: Redesign and Expansion

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Project Name:
Cyclotron Beam Current Amplifier: Redesign and Expansion
Students:
Parashar Mohapatra
Thao Nguyen
Josue Quintana
About the Project:

The Particle Cyclotron creates proton and neutron beams to remove tumor cells in cancer patients. As more cyclotrons have moved towards using proton beam radiation therapy, the cyclotron at UW Medicine is the only one left in the US that uses neutrons to kill cancerous cells. Having been developed in the 1980s, the cyclotron has many components that are now outdated and that require redesign consideration. The cyclotron’s Beam Current Amplifier (BCA) System works by receiving feedback from devices that narrow beams and particles throughout the system, known as collimators. The BCA System receives the collimators’ current when the particle beam is misaligned and represents it using a digital dial. Operators use this information to tune the trajectory of the beam. The student team worked to redesign the BCA System, now called the Beam Current Signal Conditioner Card, from an analog system to a digital system. This modernization and redesign helped with display output feedback precision, machine bulkiness, spacing and safety replacement issues, and also reduced the number of parts required to run the system.

Veramine

Disrupting Ransomware with Endpoint Deception Hax

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Project Name:
Disrupting Ransomware with Endpoint Deception Hax
Students:
Hunter Camfield
Lexie Chau
Wayne Lai
Michael Phenicie
Brendan Weibel
About the Project:

Ransomware attacks are becoming more prevalent in the world. Some ransomware is designed to avoid computers with certain configurations. The student team worked to find common configurations that these ransomwares check for and to exploit them as a technique to obstruct ransomware encryption. They also worked to expedite the testing process to allow for rapid testing in the future.

WA Department of Transportation

UW Civil and Environmental Engineering Hydro-Cub

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Project Name:
UW Civil and Environmental Engineering Hydro-Cub
Students:
Greg Joyce
Qishi Zhou
About the Project:

The hydraulic infrastructure or assets maintained by the state of Washington Department of Transportation (WSDOT) such as sewers, pipes, and culverts, need frequent monitoring for upkeep. The student team, building upon a platform from last year’s team, worked to improve a remote controlled monitoring device that is able to access difficult to reach or tight spaces.

Whooshh

Upstream Escalator

Sponsor:
Project Name:
Upstream Escalator
Students:
Konsta Jaske
Zhaoyi Jiang
Mejak Jones
Thomas Santoli
About the Project:

Whooshh Innovations, Inc. designs novel approaches to transport fish over natural and man-made barriers. Whooshh has successfully used a portable, modular flume fishway that mimics a highly turbulent stream channel with three sections that, when linked, entices salmon and other strong swimmers to swim up an elevation of 4-6 feet and places them at the entrance of the fish passage system. The student team worked to design a new portable, modular flume fishway that is passable by fish with differing swim behaviors and abilities (non-jumping, weak swimmer), to expand the use and application of Whooshh’s technology. The team analyzed several possible designs using 2D and 3D computational fluid dynamics and studied the effects of several design parameters on the flow conditions. They also analyzed the manufacturability of the designs and tested flow conditions with a scaled model.

Wyze Labs

Harry Potter Marauder's Map

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Project Name:
Harry Potter Marauder's Map
Students:
Michael Muster
William Wright
Yang Xu
About the Project:

Similar to the way Harry Potter Marauder’s map functions in the popular and well-known literature series, this student team worked to provide a multi-target multi-camera tracking system to help improve the security of a mapped space as well as the tracking of an individual within a mapped space. Some examples of how this technology can be used include tracking at risk individuals in a long-term care homes or detecting unauthorized intrusions.

Wyze Labs

Package Theft Detection on Wyze Cams

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Sponsor:
Project Name:
Package Theft Detection on Wyze Cams
Students:
Huihao Chen
Shrustishree Sumanth
Baohua Zhu
About the Project:

Package theft is a problem that negatively impacts the public especially during a pandemic situation where the demand for online shopping and package delivery increase tremendously. The student team worked to build a machine learning based software system that can identify package theft and improve home security levels for families and companies.