2018/2019 Projects

2018/2019 Electrical & Computer Engineering Industry-Sponsored Student Capstone Projects

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

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.

A group of students

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.