Access Laser Company (ALC) is a leader in designing and manufacturing high-end CO2 lasers. These lasers are implemented in a wide range of applications, including high performance industrial, semiconductor manufacturing, biomedical and scientific R&D, with customers ranging from multi-national companies to individual researchers. The project aims to design a modular closed-loop control system with a user-friendly interface for customizable infrared laser systems. The laser control system is used to provide stable laser power by adjusting the laser control parameters detected by a beam detector module. A laser simulation module is also designed for system testing.

Airbus believes in the potential of Urban Air Mobility (UAM) to transform our cities for the better, and has a goal to develop sustainable mobility systems that bring maximal societal benefit while causing minimal environmental impact. One of the challenges to developing a low operating cost UAM system with electric vertical takeoff and landing (eVTOL) aircraft is to be able to turn around the aircraft quickly between flights to increase aircraft utilization. The student team worked to develop an automated battery swapping system with minimal human oversight for eVTOL aircraft.

The student team developed a web portal to allow maintenance technicians access to exact software configurations that need to be loaded onto a particular aircraft and give engineers the ability to reliably and accurately update aircraft maintenance information.

The student team developed a deep-learning model to detect object shapes from the user drawings by using DeepLens to capture input images and the Alexa Echo device to interact with the user throughout the QuickDraw game.

Electric propulsion systems in light weight vehicles are typically low voltage and high current applications. While the large current increases the power density, it also introduces high loss and high thermal stress on the inverter power electronics. For size, weight, and power sensitive applications, such as VTOL, any size and weight reduction from compactness of inverter design is highly valuable and can contribute to extended operation range and duration. Wide band gap (WBG) devices such as GaN and SiC have smaller footprint, lower loss and faster switching capability compared to traditional devices. When WGB devices are implemented to electric motor drive applications increased power density and efficiency, enhanced thermal capacity, and reduced vibration/noise can be achieved. The student team developed and tested a gallium nitride (GaN) based inverter for use in electric aircraft motor drive systems. The inverter uses wide bandgap semiconductors to improve performance, efficiency, and power density of current electric propulsion systems.

In middle mile transportation (transportation of manufactured goods from manufacturing centers to warehouses and distribution centers) there are three types of standard trailers, including Box Trucks. Box Trucks have the advantage of being faster, easier to operate and having greater flexibility to handle different types of warehouse facilities, but also have limitations in range and volume capacity. The student team worked to understand the optimal application and route planning of Box Trucks in a regional network.

The Baton is an unmanned aerial, precision-delivery system. The Baton has two basic functions of payload delivery: 1) for critical supplies (e.g. blood plasma or anti-venom) and 2) landing a sensor or sensors (e.g. a matrix of sensors such as temperature, sound, or video monitors). The current prototype system is designed to be dropped from another manned or unmanned aircraft. The Baton would recover from the tumble, activate the motors, and fly to a designated location. The student team worked to refine the design and significantly increase reliability, functionality, and utility of the Baton system.

The student team designed and built an efficient collar that tracks biometrics and location of pets with integrated user-friendly interface and IoT system for multi-device capacity.

Boeing Employees Credit Union (BECU), the fourth largest credit union in the United States, is experiencing dramatic growth in the number of new members. As size of member-base increases, BECU becomes a much larger target for hackers who seek to steal money from physical stores called neighborhood financial centers (NFC) and ATMs. As the risk increases, the BECU Cybersecurity team is seeking new ways to authenticate our members by leveraging technology to ensure authorized access. The student team developed a cloud-based facial recognition system for ATMs and financial centers to identify customers and to provide a secondary authentication, helping ensure the safety and security of member accounts at BECU.

The smaller regional jet market currently has products that are based upon designs from the late 1980’s and early 1990’s. Boeing forecasts a 2,240-unit regional aircraft market over the next 20 years. This presents an opportunity to develop new regional aircraft to satisfy the 50-seat portion of the market that meets the US domestic “Scope Clause” that has significantly better fuel burn and economics than existing options, and a ~76 seat stretch derivative to be designed as part of this regional jet airplane family. The student team worked to design and analyze both 50-seat and 76-seat jets.

The Fusion Bracket is a fluid transport element that must also take structural load. The existing component is a multiple part assembly made up of a bracket, a pipe, several fittings and fasteners. This assembly is prone to leakage. A new fusion bracket must be designed to replace the old bracket, tube, and fittings. The student team worked to create a single-part solution using and showcasing additive manufacturing capability by utilizing structural optimization techniques to create an optimized shape while observing minimum and maximum stiffness requirements.

NASA owns the ASRS Database, which contains voluntarily safety incident reports. Boeing Airplane Safety Engineering is interested to find cluster and trends of potential emerging safety issues in ASRS that could lead to potential safety issues. The student team developed an algorithm to classify aviation incidents based on CICTT categories which extract keywords from the textual report using TF-IDF on n-grams and categorizes incidents via machine learning approaches.

Boeing drills thousands of holes every day. When drilling in metals, the bit can occasionally create a small burr at the perimeter of the hole on the exit side. It is generally more convenient to access these holes from the entry side. The student team developed and tested an exit burr gauge to measure airplane wing drill hole burrs from the outside, reducing the inefficiencies of the current measuring process.

The project aims to evaluate the forces required to instal interference fit fasteners using a percussion rivet gun. Currently, forces are measured using an instron and it is not understood how those forces differ from a rivet gun. The project will evaluate forces generated during installation by both a rivet gun and an instron and attempt to correlate the two. The project will initially look at aluminium coupons and titanium fasteners and later on investigate aluminum, carbon fiber bonded coupons.

The additive manufacturing (AM) of polymers creates an opportunity for lower cost, quick turnaround production of small volume parts. One polymer AM process, Fused Filament Fabrication, is seeing a boom in low-cost machines and additional material options including reinforced thermoplastics. AM parts have been applied to aerospace applications for decades, with limited scope of materials and applications in commercial aerospace. The student team worked to assess and characterize a potential polymer AM material and process and determine its suitability for flyaway aerospace applications.

Recent advances in titanium powder bed fusion technology offer attractive aerospace design solutions including net shape, the enabling of complicated designs, as well as reduced material waste and overall processing time. However, to offer additive parts as competitive alternatives to those achieved by traditional manufacturing, materials and processes must be optimized. Research and development is needed to understand the influence of key process parameters on material properties. This student team performed research on the reuse of Titanium powder materials in selective laser melting powder bed fusion, driving recommendations for further experimental efforts that will be focused on characterizing the degradation of powder from an alternative vendor when reused over multiple build iterations.

At Boeing robots are used for many purposes. For many of these applications, the robot must be perpendicular to the work surface. A non-contact sensor to measure the angle between the work surface and the end effector could be used to facilitate corrections to small deviations from perpendicularity. The student team designed, fabricated, and tested a non-contact normality sensor system along with a controller to read the sensors, calculate pitch and yaw, and display the angles.

Boeing has a desire to expand the utilization of thermoplastic composites into wing structure for control surfaces due to their perceived advantages in damage resistance and potential for rapid fabrication and assembly processes. The goal of the Thermoplastic Wing Design project is to explore the application of thermoplastics, specifically carbon fiber/PEEK for the manufacturing of a small, high lift surface. The student team designed a non-symmetrical airfoil for Boeing along with aerospace grade internal structures assembled using standard aerospace techniques that can withstand loads in the UW 3x3 wind tunnel. The wing flap spans 34.75 inches with the airfoil geometry of the 2019 UW Formula SAE car. This project explored the various effects of carbon fiber/PEEK stacking, common aerospace internal structures, and thermoplastic welding.

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

Uprights are responsible to rigidly transfer loads from the tires and brake calipers to the chassis and is a safety-critical component to a car. A group of students from the UW Formula Motor Sports Team worked to manufacture these uprights in-house using Additive Manufacturing Electron Beam Melting, widening the students’ knowledge base for 3-D metal printing, and making them a more competitive team. The team worked to reduce the weight, increase the stiffness and design for safety and reliability of the upright.

The student team developed an autonomous system for controlling the roll of the human-powered submarine as it navigates through the water. The system is composed of a prototype hardware module with a proof-of-concept vehicle orientation display, a data control loop, and a route tracking system.

Every robotic arm is uncalibrated in unique ways, making high-precision manufacturing very challenging. The student team investigated error analysis and reduction methods in small-scale uArm robotics, with the intent to design robust methods that can be scaled to larger industrial machines. The uArms, equipped with touch-screen styluses, are programmed to tap an iPad in one of three test schemes. Data from the iPad is then compared to the expected points to calculate and model the uArm error. Average error functions are then inverted and reapplied to the robot arms in order to reduce the error experienced by the devices.

Collins Aerospace is focused on adopting human centric scientific and technological innovation in interior aircraft design. This includes real space for wheel chairs, service animals, families with small children, and new levels of comfort for crew members. The student team worked to understand areas of greatest need an impact, and design an improved aircraft interior.

Autonomous Wheelchairs increase freedom and ease of mobility for the most vulnerable peoples in society. Large scale autonomous navigation of a power wheelchair faces numerous corner case confounds ranging from loss of localization due to feature-sparsity to human motion sickness. The students developed integrated graceful motion and motion predictive algorithms using a robot operating system with sensor packages to perform autonomous patient delivery in hospital environments.

Seattle Goodwill’s Dearborn store is the largest, by volume, Goodwill in the world. Several decades old, this facility has seen many transitions and currently houses a retail store, warehouse facility, production facility, and a dock which receives donated goods from several field sites. The student team worked to improve efficiency and operation in the production facility and dock.

The student team designed a system that calculates the length of various trailers and wheelbases using a dynamic turn angle measurement. The system is mountable in its entirety to a Kenworth tractor, and gathers data in near real time. Calculated values are transmitted to the truck over the vehicle CAN network.

King County Metro currently uses a linear model to predict bus arrival times, based on current position on-time performance (on-schedule, early, delay). This model is inaccurate and negatively impacts real-time arrival predictions, resulting in mismanaged customer expectations. The student team used GPS positions and known conditions along the route of travel to develop and test a predictive model to provide more accurate predictions and built a module to add to King County Metro’s current OneBusAway suite or GTFS-RT specification.

Rod springs are widely used in aircraft door mechanisms to secure component and mechanism positions. Conventional manufacturing technologies use spring and a guiding mechanisms, assembled in three parts. The student team worked to manufacture a rod spring in one single element, without assembly, using 3D printing of an elastomer to generate the spring effect and a plastic to generate the guiding function and allow interface with the mechanism.

Terrestrial networks that need to distribute RF signals over long distances are using RF over fiber links because of the very low silica attenuation. Optical RF links are generally designed with single mode LASERs like DFB or DBR due to their high linearity and the distribution media is based on single mode fiber (SMF). However, single mode fibers are not used on civil airplanes because of their very small core size and environmental constraints. Multi-mode fibers (MMF) could be used in place of single mode fibers because lengths inside an aircraft cabin are very short. Through this project the student team attempted to facilitate optical communication within commercial airplanes. Through simulations, the team modeled a suitable communication network and measured the performance characteristics of the network.

The student team developed a predictive health monitoring, fault investigation, and failure analysis interface for TO-220AB Power MOS-FETs using regression algorithms and neural networks.

The students worked to develop a computer vision-based platform to repair data center servers with variable poses using two collaborative robotic arms.

The students worked to investigate a full-stack robot system composed of computer, electrical, and mechanical subsystems, to automate the process of server replacement and repair. The students worked to build a mobile manipulator that can detect and localize, pick and place, carry servers, and navigate in the server room. The final system is capable of powering a conveyer, simulating a pick-place procedure, and successfully reaching the server rack in the real world.

Sample bags are commonly used in the food industry to grow bacteria in a food/media “broth” over a set period of time, until the bacteria reaches a detectable level. While sample bags are heavily used in the food industry, they are not exclusive to food and are used in many industries (i.e. pharma, medical, etc.). Unfortunately, in the food industry, there is a trend to make sample bag sizes larger and larger, increasing the weight and risks to technician safety. The larger bags result in less efficient and less ergonomic working conditions for the lab technicians. The student team worked to develop a solution to improve the long-term safety, ergonomics, and efficiency of lab technicians by assisting them in the bag handling process.

Moonbeam uses virtual reality and artificial intelligence to transform the future of remote creative collaboration, and builds tools to help corporate innovation groups work more effectively with startups without the constraints of geography. The student team designed, developed, and tested an intelligent interface that enhances a person’s ability to collaborate within Virtual Reality (VR). This involved creation of an interface that allows the user to write onto a wireless pad, giving the user the same feeling as if they were writing on a white board or notepad.

MorTech manufactures the Morgan Lens, a medical device that is used for the emergency treatment of ocular chemical burns. The product consists of two plastic components, a standard luer lock connector and a molded plastic shell (the "lens"), which are connected by a six-inch piece of small-diameter silicone tubing. Once assembled, the product is heat sealed in a PETG blister tray with a Tyvek “lid”. The student team worked to automate the assembly of the Morgan Lens, which is currently time consuming and labor intensive.

The student team developed an autonomous multi-robot system with sensors for collection and processing of scientific data.

The NOAA Northwest Fisheries Science Center is a government agency that conducts research to manage the marine resources in the Pacific Northwest. NOAA is developing technologies to better monitor population of Dungeness crab, which are the most valuable fishery on the US West Coast; specifically, they are working to develop an autonomous light trap. Crab larvae are attracted to light in the trap and swim through the funnels into the bucket where they can be captured and counted to get a measure of crab larvae abundance. A camera system is installed so that species that enter the trap can be identified and counted without the need to recover the trap for manual counting. The student team worked to refine a sensor package and enhance with an enhanced user interface to be deployed on crab traps used to intelligently monitor local crab larvae populations. The sensor package is capable of long-term deployment and collection of a range of data, including temperature, salinity, and wave action, and allows correlation of crab larvae population abundance with surrounding water conditions.

Approximately 10% of the US population has diabetes, with many more being pre-diabetic. Incorrect administration of insulin (e.g., too little, too much, or at wrong times) can result in transient and serious hypo- and hyperglycemia, wide glycemic excursions, and diabetic ketoacidosis. Special care must be taken to ensure that the correct dose of insulin is administered. There is clearly a need to accurately confirm the dose of insulin injected, thus providing more reliable and accurate treatment. The interdisciplinary student team designed and developed an insulin injection pen that can detect/confirm the insulin was injected into the skin as intended. This solution would accurately confirm the dose of insulin injected, thus providing more reliable and accurate treatment, and preventing costly complications.

Deception technology is an important part of cyber security defense. Deception technology enables a more proactive security posture by seeking to deceive the attackers, detect them and then defeat them, allowing the enterprise to return to normal operations. There exist various open-source honeypot programs, but choosing a set of tools, and effectively integrating them into an enterprise environment remains a challenge. The student team developed an open source honeypot management system that is easy to deploy, operate, and customize and provides options to integrate into a centralized log management system.

OfferUp is a mobile marketplace that allows users to buy and sell locally. The company needs details for thousands of items, and want to use machine learning models to identify specific facets of objects from and image in detail. The student team developed image classification models using Google Cloud AutoML and TensorFlow with image data collected from OfferUp customers. The models are integrated into web and mobile applications to identify images and predict the classes to which they belong, such as distinguishing shoes from clothes, the gender of items, and various types of shoes.

A key component of autonomous vehicle operation is the ability for the vehicle control system to vehicle to detect and track objects in the surrounding environment. RADAR has traditionally been used to detect moving vehicles directly in the path the of ego vehicle. RADAR has excellent performance in rain, snow, and low light conditions compared to cameras, but RADAR does not have the high resolution imaging capabilities of camera systems. Identifying the type of object or the classification of stationary objects is not reliable enough using RADAR alone. The student team developed a system that detects and classifies objects by fusing radar and camera data, and boosts object detection accuracy from camera and localization precision from radar.

Flash Lidar has a desirable combination of high resolution, low cost, and precision distance measuring capability that make it’s very attractive for highly automated driving systems. Today interference between these devices in not a problem, but if the devices become widely deployed, the possibility of interference between devices on different vehicles will become a problem. Finding solutions to this problem is an opportunity for research in an area of future growth. The student team designed an embedded platform for LiDAR and Radar synchronization using Peer-to-Peer (P2P) communication to reduce the inter-vehicle interference.

PACCAR is a leader in the development of autonomous vehicles. There is interest in developing vehicle platoons as autonomous vehicles become available to improve vehicle performance and reduce workload of drivers. The student team worked on development and optimization of ordering of a mixed platoon (of heterogeneous vehicles with potentially different vehicle dynamics, sensor availability, and other factors) to improve overall ability to maintain the platoon over different grades.

PACCAR Technical Center Advanced Analytics groups warranty claims into potential product quality projects based on the identified failure modes and corrective steps. The product quality projects are used to improve product design, resolve defects, and increase customer satisfaction. An initial root cause analysis is performed to determine if it is a design, production or supplier quality issue, before the project is assigned to the appropriate teams for resolution. The student team worked to automate classification of warranty claims into failure modes using a machine learning algorithm and develop a dashboard to visualize how (based on what criteria or features) automated classification is being performed as well as whether classification performance is satisfactory or requires improvement.

The RealWear HMT1 is a head-worn computer, with a near-eye display and a forward facing visible camera, all powered by an Android operating system. The student team designed, developed, and tested a custom PCB and 3-D printed housing for a Lepton infrared camera to interface with RealWear’s HMT1 headset, maintaining a low-profile, industrial design.

As part of the City of Seattle's Climate Action Plan to eliminate the use of fossil fuels and achieve carbon neutrality by 2050, Seattle City Light is pursuing energy conservation along with electrification of buildings and vehicles. In alignment with these goals, Seattle City Light is pursuing the design of an eco-district using principles of energy efficiency and conservation and incorporating the newest technologies in renewables and energy storage (both thermal and electric). The student team investigated the feasibility of implementing an eco-district in the West Campus area of the University of Washington campus, including a proposed design and major findings.

Keeping accurate and consistent records is a key component of quality governmental services and an essential element of public trust. The Snohomish County Records Center collects, stores, retrieves and archives information related to public services, individuals' legal status, ongoing public safety, history, governmental accountability, and so much more. In addition to aiding in the routine flow of records through storage and destruction, and providing search for and delivery of records in storage, Records Center staff manage this effort from beginning to end. The current processes used are outdated and physical. The student team worked to cost-effectively automate both digital and physical movements of records.

Since 1996, Sound Transit has been planning, designing, building and operating a regional high capacity transit systems from ST Express buses, SOUNDER commuter rail, LINK light rail and Bus Rapid Transit. The system is expanding and expected to serve 550,000 to 700,000 riders per weekday by 2040. One of Sound Transit’s guiding principles is customer focus. The student team worked to evaluate and improve the customers’ experience on the LINK light rail system.

A patient unable to breathe on their own and maintain their airway must be intubated to receive oxygen. End-tidal carbon dioxide (EtCO2) is an important vital sign in pre-hospital and emergency medicine settings as an indicator for a variety of patient conditions, including successful restoration of circulation in CPR, shock and heart failure. Capnography provides a continuous measurement of EtCO2 and constant monitoring of the capnogram is a standard of care in the pre-hospital setting. When the patient is moved, both from the field into an ambulance and from an emergency cot to a hospital bed, the patient, as well as the several connections between the patient and monitor, such as capnography tubing, must be moved together to avoid complications such as the tubing getting pulled out, injury to the patient, or potentially avoidable death. The student team designed and developed a solution to address this need to eliminate wiring of current capnography technology and provide more information to EMTs in the pre-hospital setting.

Artifact (an electrocardiographic wave that arises from sources other than the heart or brain) is a significant confounder in the acquisition and interpretation of multi-lead electrocardiograms (ECGs) for patient triage and diagnosis. While modern ECG acquisition systems have sophisticated software and hardware to minimize artifact, it is often insufficient. The ECG artifact rarely originates from the patient monitor itself but instead originates at the electrode-skin interface (poor contact), in the skeletal muscles (muscle artifact), or from radiated electromagnetic interference (EMI). Such ECG artifact is exacerbated in prehospital emergency care settings. Nevertheless, user action can often mitigate the presence of artifact through corrective action. The student team worked to develop an ECG artifact detection and classification algorithm that provides actionable feedback to the user to minimize the impact of such artifact.

As one of the world’s leading medical technology companies, Stryker offers a diverse array of products and services in medical and surgical, neurotechnology and spine, and orthopedics to help improve patient and hospital outcomes. The student team worked to establish a milk-run for packaging materials used to box up and ship Stryker devices utilizing just-in-time kanbans with local suppliers and establishing automated vendor managed inventory. The team worked to determine how much inventory is needed, what kind of signaling the vendor will use to determine when and how much to replenish, and where and how the inventory will be stored at Stryker.

Stryker provides medical equipment to emergency medical teams (EMT’s) such as Medic One. The Master of Applied Bioengineering student team worked to determine the efficacy of non-invasive blood pressure (NIBP) and pulse oximetry (SpO2) devices for EMT’s, and developed a validation test plan using state-of-the-art EMT equipment as a comparative baseline.

The student team developed a wireless pulse oximeter that uses light to measure SpO2, SpCO, and SpMET and displays the measurements on a computer in real time. This allows emergency medical teams more flexibility in the field compared to existing devices.

Package theft has become commonplace as eCommerce grows. Couriers are not encouraged to secure packages after delivery due to cost. The student team implemented an NB-IoT device into packages with the intent of tracking them more closely and accurately to prevent package theft. They integrated NB-IoT device with sensors that communicate with servers and a web user interface.

Increased accuracy in urban localization has many applications, including delivery services, navigation and guidance for automated agents (vehicles and delivery robots), tourism, and hyperlocalized advertising. Current commercial GNSS/GPS data collection devices have reported accuracy of about 3 meters, but environmental conditions, like dense-building areas, increase error up to 50 meters. Attempts to enhance GNSS localization using signals from other sources, such as cellular and WiFi, have had limited success. The student team worked to minimize error in GPS positioning in vehicles in urban areas. The final deliverable of the project is a cost-effective product composed of a sensor fusion system for positioning, and a visual marker detection system for drift correction.

The TE Connectivity Automation Manufacturing Technology (AMT) team manages multiple complex projects at a time. Each project designs and builds customs machines, so inventory management is a key part of each project. There are often times thousands of parts that are ordered and added to the machine at different times throughout the project. The student team worked to design and implement an inventory management tool that provides a dashboard, so project leaders and designers can track their parts easily and quickly, greatly increasing the efficiency of the AMT team members.

Telenav has been leading the way for connected, location-based technologies since 1999. Misspellings appear in up to 15 percent of web search queries, and local searches have similar challenges. The student team developed a robust address spell checker that suggests corrections of misspellings in real time with incremental learning ability.

HVAC (heating, ventilation, and air conditioning) can be responsible for 40% of the energy usage of a large building or campus. Improved algorithms for fault detection, diagnosis, optimization, and control of HVAC have the potential to reduce energy usage by up to 30%. The student team worked with Tignis, a Seattle-based venture-backed startup company delivering machine learning SaaS for industrial use cases, PSR Mechanical, a leading HVAC service provider in Seattle, and Pacific Northwest National Laboratory, a Department of Energy Lab based in Richland to construct a significant stepping stone towards more efficient HVAC systems. The students designed a data-driven web application for HVAC system technicians to remotely diagnose and monitor their buildings and enable identification of problems that would otherwise remain obscure.

Real-world airfoil performance is impacted by irregularities in the section shape compared to the intended design. Careful manufacturing can produce shapes with the appropriate level of tolerance; however the effects of real-world contamination, such as rain, hail, icing, bugs, erosion, and corrosion, can have a critical impact on performance. These effects are important for many applications which are experiencing current and future growth, such as remote autonomous vehicles, high altitude aircraft, long endurance vehicles, delivery UAVs, wind energy devices, and underwater vehicles. These applications typically require high endurance and operate at high lift coefficients to optimize their performance. In addition, these applications locate the vehicles in difficult operating conditions (icing, saltwater exposure, etc.) for long periods of time with little or no opportunity for maintenance or inspection, exacerbating the impact on the performance of these emerging vehicles. The student team worked to understand the types of protuberances common in various applications of high lift, high-endurance airfoils.

Micron sized (1 – 100 μm diameter) polymer particles are an important class of materials for a number of applications ranging from structural materials to cosmetics. It is possible to produce micronized polymers from larger sized feed stocks by jet milling, grinding, and cryo-milling. These processes produce particles with a large surface area and irregular shape. Often, it is advantageous to produce polymer particles with smooth spherical shapes, making the processing more challenging. Typically, these particles are made via a precipitation process where the polymer-solvent solution is incorporated into an anti-solvent to cause precipitation. Parameters such as temperature, pressure, mixing, surfactant type and concentration, etc., all contribute to controlling the yield, particle size and particle size distribution. The student team worked to develop a method for efficient, safe, and scalable production of d50: 15μm particles comprised of an advanced, high-performing engineering thermoplastic, and determine the effect of modifying various process parameters to understand the impact on product quality.

The student team developed a pill pack dispenser to improve medication adherence and verify pill authenticity. This dispenser implements machine learning and unique pill patterns to track prescription medications.

Tupl develops software for telecom operators with state of the art big data technologies. Analyzing this data from telecom operators is a time-consuming process, and the majority of the work requires people working manually to dig out useful information from given datasets. To facilitate the data analysis process, the student team created a tool to automatically provide basic knowledge of the data, such as statistics, correlations, patterns, relations, etc. to aid and direct data scientists towards deeper analysis.

Department administration in the College of Engineering lacks tools to manage requests for administrative services, specifically financial transactional duties. Most over the counter solutions are cost prohibitive or do not fit the specific needs of higher education administration. The student team developed a web application with a background database that can be used internally for College of Engineering departments to manage, process, and track administrative and financial requests for both students and fiscal staff, including purchasing, reimbursements, travel requests (booking and reimbursements) and ProCard document submission.

UW Facilities is responsible for managing the University of Washington’s buildings and infrastructure, ensuring smooth day-to-day operation. There are many different units within UW Facilities including Engineering Services (ES), Maintenance, Construction, etc. Engineering Services’ responsibilities include providing engineering support to other departments under UW Facilities as well as any faculty and student of UW, and maintaining UW’s building records and documents. The student team focused their efforts on developing a standardized process within ES and with the use of AiM among different departments. The goal of the project was to maximize Engineering Services’ value to UW Facilities.

Radio Frequency (RF) systems are used in the University of Washington Cyclotron Facility to accelerate particles for various uses including cancer treatment, isotope creation, and advanced materials testing. To achieve a concise efficient, and stable acceleration for different types of particles, an automatic motion control system for monitoring and regulating the cyclotron’s RF motors was designed, built, and tested.

The Vulcan Conservation UAV is used in Africa by scouts and rangers, in real time, to deny materials and territory to poachers and produce evidence of their activities. As examples, poachers drive in trucks, setup camps, and deploy barbed wire to indiscriminately snare roaming animals. The student team worked to improve UAV flight duration to enhance the capability of detecting and tracking poachers in Africa and elsewhere.

Washington State Department of Transportation currently uses the HIVE Bot to survey and record inspections of culverts. However, the HIVE Bot is unable to go through the entire length of the culvert without losing Wi-Fi connection; and has limited camera range, size, and speed control. The student team improved the current HIVE Bot design and addressed its issues from an electrical engineering perspective.

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 designed and implemented an autonomous CI/CD solution for embedded systems using Fuego and Witekio’s automation lab along with deployment of the OS image updates over the air.