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BIOENGINEERING SESSION 1
Optical Strain Sensor for Physical Activity Assessment
2:15 – 2:40
Michael Cromie, Kristen Mosher
Advisor: Emre Araci
Our objective is to design a wearable optical strain sensor to track the physical activities of the upper extremities. Activity sensors currently on the market lack sensitivity, directionality, and electromagnetic immunity. Our optical sensor will provide wavelength-multiplexed spatial data with a single input/output, hence enabling simpler human-wearable device interfacing.
A Microfluidic SMILE: Sensor for Mental Illness Evaluation
2:50 – 3:20
Keala Johnson, Nicole Keller, Shriya Syal
Advisor: Emre Araci
We develop wearable microfluidic sensors to monitor human emotions. The skin deforms with changing facial expressions, causing strain on our sensors. This strain is converted to the displacement of ionic liquids and measured electrically or optically. The technology can be used in the management and diagnosis of mental health disorders.
Power Generation by Genetically Modified Bacteria in a Microbial Fuel Cell
3:30 – 4:00
David Bengford, Sarah Khoilian, Ann McMonigal
Advisor: Maryam Mobed-Miremadi
Our project aims to examine the potential of fourth-generation biofuels (genetically engineered bacteria) in a microbial fuel cell (MFC). Our primary research objective is to improve the consistency of the system's power generation over time. Our work will contribute to the fields of bioengineering, materials, and sustainable energy.
Microfluidic Multi-Complication Cancer Test
4:05 – 4:35
Brendan Heap, Samuel Nichols, Anthony Ramirez Guerrero
Advisor: Emre Araci
Circulating tumor cells (CTCs) are cells shed into the vasculature from a tumor and can metastasize to other organs. Our objective is the development of microfluidic and microfabrication technologies for label-free detection and isolation of CTCs and CTC clusters.
BIOENGINEERING SESSION 2
CERVIS: Cervical Cancer Early Response Visual Identification System
2:15 – 2:45
Kira Palazzo, Lauren Serfas, Juliana Trujillo
College of Arts and Sciences Students: Lauren Cherrey, Will Nelson
Advisors: Prashanth Asuri, Michele Parker, Craig Stephens
The aim of CERVIS is to develop a low-cost, minimally invasive, highly specific screening device to detect cervical cancer in low-resource settings, mainly Uganda. The device will indicate the presence of fusobacteria, one that is highly correlated to cervical cancer diagnosis.
Predicting Depression Progression Rates in Radiotherapy Patients
2:50 – 3:20
Ardella Phoa, Joshua Vincent, Shani Williams
Advisor: Yuling Yan
Depression affects more than 10% of cancer patients worldwide and lowers the efficacy of radiotherapy treatments. Recent research shows that PET scans capture depression biomarkers in the brain. We use these images to train a convolutional neural network to identify these biomarkers and classify depression progression rates in radiotherapy patients.
Brainwave Distinguishing Network for EEG Control
3:30 – 3:55
Brent Baculi, Stu Cansdale
Advisor: Yuling Yan
Creating a neural network trained on EEG data that differentiates between focused and relaxed states in the brain. The goal of this network is to provide an alternative control method for people with motor disabilities.
Milkguard from Assay to Kit: Sensor Geometry Optimization
4:05 – 4:35
Emily Brogan, Ariana Haddad, Bridget Woody
Advisors: Ashley Kim, Maryam Mobed-Miremadi
MilkGuard, a hydrogel-based sensor, utilizes enzymatic reactions to produce colorimetric change when E. coli is present in donated human breast milk. By optimizing extraction processes, accounting for the variability of conditions, and comparing strains of bacteria, our project lowers the limit of detection of the sensor and verifies robust data collection.
BIOENGINEERING SESSION 3
Engineering a Switchable Nanosystem for Customizable Therapeutics
2:15 – 2:40
Hanzhe Chen, David Diebold
Advisor: Bill Lu
We are attempting to engineer an exosome with a switchable protein system that can be used for a variety of therapeutic purposes. Our engineered exosome binds to a specific peptide neo-epitope (PNE) which can then be fused with other antibodies to specifically target various surface proteins.
Novel Cancer Treatment Using Engineered Exosomes to Disrupt Cancer’s Immune Escape
2:50 – 3:20
Abena Boateng, Carley Fowler, Maritza Soria
Advisor: Bill Lu
Our project is to engineer exosomes to create a novel cancer treatment. This immunotherapy treatment would use exosomes to promote the eradication of cancer by disrupting the PD-1 and PD-L1 immune-escape pathway exploited by cancer cells. Immune-escape pathway disruption would allow killer T-cells to eliminate the diseased cells.
Identification of Messenger Molecule Between Mammalian and Bacterial Cells
3:30 – 3:55
Anna Fraser-Philbin, Alexander Heiler
Advisor: Zhiwen (Jonathan) Zhang
The messenger molecule between bacterial and mammalian cells is identified by using chemical cross-linking techniques to capture and mass spectrometry to analyze the ligands. The molecules will serve as novel drug targets for the development of anti-infective immunotherapeutics.
CIVIL, ENVIRONMENTAL, AND SUSTAINABLE ENGINEERING SESSION 1
Design for Cultural Preservation Center for Nez Perce Tribe
2:15 – 2:45
Catherine Moore, Carolina Avelar, Rodolfo Leon
Advisors: Edwin Maurer, Reynaud Serrette, Sukhmander Singh
Preliminary design for Cultural Preservation Center for the Nez Perce Tribe within the Nez Perce Reservation in Lapwai, Idaho. This project encompasses the design of a foundation and retaining wall, structural high-ceiling, open circular gathering space, and permeable pavement and infiltration trenches as part of a stormwater management system.
SCU Faculty and Staff Affordable Housing Development
2:50 – 3:20
Deirdre Bonitz, Rachael Han, Ayo Ogunfunmi, Spencer Saito
Advisors: Laura Doyle, Edwin Maurer, Hisham Said, Reynaud Serrette
This project is a mixed-use affordable housing development for Santa Clara University’s faculty and staff. Project components include structural analysis and design of the multi-story building; design of water, wastewater, and stormwater systems; and a comprehensive construction management program. A four-dimensional model of the proposed development will also be presented.
Climate Change Analysis and Stream Restoration in the Upper Truckee River Basin
3:30 – 3:55
Christian Raslowsky, Nick Szigeti
Advisors: Laura Doyle, Edwin Maurer
A climate change analysis of the Upper Truckee River Watershed was conducted using a hydrologic watershed model. The model predicts how watershed properties change with climate variations. Using model outputs, the group redesigned a section of the river to enhance floodplain interaction and thus reduce sediment transport downstream.
CIVIL, ENVIRONMENTAL, AND SUSTAINABLE ENGINEERING SESSION 2
California High-Speed Rail Central Valley Realignment
2:15 – 2:40
Jossian Pineda, Devin Schmidt
Advisors: Tracy Abbott, Girum Awoke
For our project, we realigned the California High-Speed Rail in the Central Valley. The new alignments will be routed through unused median space of Central Valley interstates. We focused on the macro-level design and cost estimate of this realignment, utilizing designs and standards set by the CAHSR Authority.
Hester Gardens – A LifeMoves Temporary Interim-Housing Facility
2:50 – 3:20
Taylor Klauser, Jeffrey Meier, Megan Sauter, Jenna Tran
Advisors: Tracy Abbott, Tonya Nilsson
To combat Bay Area chronic homelessness, the design team partnered with the NGO LifeMoves to design Hester Gardens, an interim-housing facility. Two structural designs were completed, one using structural steel and one using steel storage containers. The team created a construction management plan and general civil plans for Hester Gardens.
Sobrato Campus for Discovery and Innovation Foundation Feasibility and Re-Design
3:30 – 3:55
Maxwell Quillin
Advisor: Sukhmander Singh
The first phase of the project involves the assessment of the feasibility of the existing foundation design using a combination of spread footings and ground improvements. The second phase includes two additional foundation design alternatives, one of which being a mat foundation, and the other being a deep foundation alternative.
COMPUTER SCIENCE AND ENGINEERING SESSION 1
Advisor: Behnam Dezfouli
Current IoT network security solutions fail to account for both the scale at which IoT devices can be deployed and the heterogeneous nature of the traffic they produce. We propose the use of a cloud-based management layer working in cooperation with fog node filters to manage end devices.
Advisor: Behnam Dezfouli
An inexpensive, open-source diagnostic system coordinating multiple Raspberry Pi units to gather statistics and information on a given WiFi network. With a simple, meaningful display, users will find trouble spots in their house, diagnose why IoT devices are not working, effectively place WiFi extenders and mesh nodes, and more.
Advisor: Behnam Dezfouli
CentriFi is an access point management system that makes creating robust and customizable networks realistic and affordable. Built on the free OpenWRT platform, CentriFi allows for local area networks to be exactly configured and maintained on low cost hardware, intuitively and easily.
Advisor: Behnam Dezfouli
An ever-growing number of smart home security devices are being installed to monitor homes; however, these devices are reliant on having a stable internet connection. We are building a router that will allow devices to remain connected to alternative internet sources in the event of a home network outage.
Advisor: Behnam Dezfouli
A plug-and-play device that allows network management and Distributed Denial of Service mitigation in home networks through a mobile app. The device allows custom flow installation and bandwidth management through a Software Defined Network framework.
COMPUTER SCIENCE AND ENGINEERING SESSION 2
Advisor: Dan Lewis
Electric hydrofoil surfboards combine hydrofoil technology with an electric motor to produce a motorized flying surfboard. DIY electric hydrofoil surfboards are often untested and unreliable. Our software enables builders to plot and share VESC motor controller log files in order to make collaborative analysis possible.
Advisor: Christopher Kitts
This project involves the development of an enhanced electronics suite and software control system for SCU’s tethered underwater robots. The system supports thruster-based maneuvering of the vehicle, control over sensors and peripherals, display of camera imagery, and a graphical user interface for pilots.
Advisors: David Anastasiu, Christopher Kitts
An AI weightlifting coach that provides real-time individualized feedback to the user. Using machine learning and motion capture, our coach allows them to analyze their movement quality and improvement over time.
Advisor: Behnam Dezfouli
PostureBot is a device that aims to improve its user’s posture by sending vibration alerts to the user when slouching and sending iPhone notifications to stretch, exercise, and promote a lifestyle with good posture.
Advisor: Behnam Dezfouli
The goal of Flomosys 2.0 is to bring new features and functionality to Flomosys, the Flood Monitoring System of Silicon Valley. Flomosys 2.0 will implement multi-client support, dynamic frequency scaling, an overhauled web UI, and a novel low-power security algorithm.
COMPUTER SCIENCE AND ENGINEERING SESSION 3
Advisor: Behnam Dezfouli
Currently, the process of monitoring road health is done infrequently and is time-consuming. Therefore, many road quality issues are reported by people who drive on them. So, we are developing a smart sensor that processes and analyzes the data on the device and informs the city of the road quality.
Advisor: Maya Ackerman
This web application creates a face according to selected character traits. By using prior research on the correlation between facial features and associated characteristics and impressions, it becomes possible to generate targeted designs.
Advisor: Maya Ackerman
Developing a web application to aid truck dispatchers in funding the most efficient routes for their trucks based on a variety of factors unique to this application. The aim is to support efficiency as well as aid in the reduction of fuel consumption.
Advisor: Angela Musurlian
This is a multi-platform application designed on behalf of the Association of Nicaraguan Social Development (ASDENIC), that town officials may use to distribute information to local farmers about water quality. In addition to saving time, this application will eliminate the need for in-person meetings to disseminate information.
Advisor: Angela Musurlian
Club Grove is a service for club leaders to showcase their clubs and for students to learn more about clubs. Students can search for clubs and view events based on the clubs they are interested in. Club leaders can handle requests to join the club and add events.
COMPUTER SCIENCE AND ENGINEERING SESSION 4
Advisor: Yuhong Liu
In this project, we develop a system that will provide authentication via electrocardiogram (ECG) signals. This system will employ a supervised machine learning approach to authenticate users. Once a user is authenticated, then the user will be allowed to have access to any devices for which they are registered users.
Advisor: Yuhong Liu
This research project aims to provide a framework to reduce resource strain on IoT devices for secure updates. This is accomplished by moving the verification of update messages from the device level to a Blockchain, specifically Ethereum, by using Smart Contracts.
Advisor: Yi Fang
Our project aims to synthesize photorealistic images based on a free-form text description of a person's face. We combine advanced natural language understanding models with conditional generative adversarial networks to produce a set of corresponding faces. We utilize a simple website to demonstrate our model.
Advisor: Yi Fang
The goal of our project is to mitigate fake data and improve the quality of content showed to users on Twitter by utilizing machine learning to cross-reference and authenticate the origin and information relayed in the tweet.
Advisor: Yi Fang
PLATICA is a fully immersive chatbot application designed to help develop users’ English language skills through conversation. Our chatbot will induce language acquisition naturally by holding stimulating conversations and providing relevant grammar feedback. Utilizing state-of-the-art deep learning technologies, we are building a robust and intuitive mobile application.
COMPUTER SCIENCE AND ENGINEERING SESSION 5
Advisor: Ahmed Amer
A high-skill Real-Time Strategy / Survival game in which the player controls undead minions to do their bidding.
Advisor: Ahmed Amer
An augmented reality iPhone application that guides a pedestrian to multiple buildings within campus.
Advisor: Ahmed Amer
The proliferation of IoT devices and data collection necessitates more secure methods for storing data. Recent data breaches suggest single entity ownership of data is not enough to ensure its security. Using cryptographic techniques, we demonstrate easy to use escrow for multi-shareholder ownership of data.
Advisor: Ahmed Amer
A framework and prototype for adaptive quiz generation and evaluation.
Advisors: Ahmed Amer, Brian Beams
A short-form virtual reality experience exploring sustainability, plastic pollution in our oceans, and activism.
COMPUTER SCIENCE AND ENGINEERING SESSION 6
Advisor: Silvia Figueira
Redesigning the website of a Bay Area nonprofit organization with the goal of implementing universal design; that is, user experience and usability design that is accessible for all users.
Advisor: Silvia Figueira
Web application where students and faculty can log and track their progress toward earning sustainability badges as part of the Center for Sustainability's strategic action plan.
Advisor: Silvia Figueira
Every year, more than 200,000 tourists miss out on numerous opportunities to connect with locals in the Galápagos Islands. The GalápaGo! team has teamed up with the Chamber of Tourism to develop a tourist-friendly application that encourages visitors to explore local businesses, respect sustainability efforts, and learn social customs.
Advisors: Silvia Figueira, Michele Parker
Eighty-one babies within their first month of life die each day in Uganda. Our solution is a mobile application for rural mothers that includes educational lessons with culturally relevant graphics and limited text, help with navigation to nearby clinics, and reminder messages about important healthcare checkup dates.
Advisor: Silvia Figueira
YouLearn is an offline media streaming application designed for rural areas that have limited access to electricity and the internet. It provides videos and other media to educate and empower impoverished communities using tools such as vocational training and public health information.
ELECTRICAL AND COMPUTER ENGINEERING SESSION 1
Advisor: Andrew Wolfe
We aim to design, prototype, and test a 3D scanner that uses LIDAR to take position data instead of traditional cameras. We hope to fully scan and 3D print an object by April 2020.
Advisors: Shoba Krishnan, Andrew Wolfe
The Disaster Relief Communications Box will provide those in disaster situations the ability to communicate with nearby users on a local network as well as send out important information to those on the network. In addition, it will be weather resistant and reliable due to having multiple power sources.
Advisor: Fatemeh Tehranipoor
PUFs are circuit primitives that use intrinsic variations of microchips created during the manufacturing process to generate a unique "fingerprint" for each chip. We aim to simulate several different PUF designs on an FPGA board to determine how changes to a starting design can affect the reliability, randomness, and uniqueness of these IDs.
ELECTRICAL AND COMPUTER ENGINEERING SESSION 2
Advisor: Kurt Schab
In order to circumvent the mobility issues of current wireless charging systems, a transmission system capable of delivering power throughout a given space, regardless of the receiving devices’ position and orientation, is designed and simulated.
Wireless Power Receiving Platform
2:50 – 3:15
Daniel Bao, Simon Gebrai
Our project aims to create a platform, within a Quasi-Static Resonant system, that enables a device to be charged without reliance on the orientation of the device. Objectives for our platform revolve around high power-conversion efficiency within the platform, a reasonable size constraint, and compatibility with widely used charging interfaces.
Advisor: Sarah Kate Wilson
Our project interfaces with solar panel installations at remote locations and collects logs, and processes data from these installations. This data is then uploaded to the cloud for better insight and visibility into the operation of the solar installations.
INTERDISCIPLINARY SESSION 1
Advisors: Behnam Dezfouli, Sarah Kate Wilson
EdgeAP is a programmable platform for the delivery of applications on access points/gateways. Use cases of the platform will be demonstrated via example applications. Additionally, the effects of edge computing on network performance will be characterized and evaluated in terms of CPU utilization and network quality of service.
Advisors: Christopher Kitts, Godfrey Mungal
A small-scale agricultural robot chassis and motion control system has been developed. The robot can be mechanically adjusted in width to accommodate the spacing of various crops, and it can host a range of payloads and sensors for applications ranging from weeding to harvesting.
Advisors: Christopher Kitts, Sally Wood
This project involves the development of a distributed control system for a group of unmanned aerial vehicles. The system allows a single pilot to control multiple drones, autonomously control the formation of the drone cluster, and implement novel adaptive navigation techniques to find the location of a radio emitter.
Advisors: Yi Fang, Rachel He, Sarah Kate Wilson
The Supreme Optimizer is a traffic light phase controller designed using reinforcement learning in order to reduce the average vehicle wait time at intersections around Santa Clara University. It is designed using a simulation environment based on real traffic data.
Advisors: Christopher Kitts, Jessica Kuczenski, Godfrey Mungal, Michael Taylor
This project focuses on the design and fabrication of an unmanned aerial vehicle capable of lifting a total system weight of 55 lbs and maintaining flight for 20-30 minutes. The drone features 12 contra-rotating propellers, custom chassis with ducts, and automated flight software supporting agricultural applications such as irrigation monitoring.
INTERDISCIPLINARY SESSION 2
Advisor: Jessica Kuczenski
The Digital Height-Measuring Sensor Device (a.k.a Stadiometer) is a device used to accurately and efficiently measure the height of a patient. It is intended to replace the manual ruler height-measuring systems in current hospitals and pediatric clinics.
Advisors: Prashanth Asuri, Christopher Kitts, Michele Parker
This project focuses on the design and fabrication of an electrically-powered, electromyographically (EMG) controlled prosthetic hand for transradial, unilateral amputees in India. The HELP Hand is a versatile prosthesis with multiple grip capabilities that is designed to be functional, robust, and low cost.
Advisors: Ramesh Abhari, Prashanth Asuri, Shoba Krishnan
Our project aims to develop a skin phantom that meets the medical device industry’s need for a synthetic platform that can accurately emulate the electrical properties of human skin. Such a skin phantom can be used in early-stage testing of wearable medical devices to minimize animal, human, and cadaver testing.
Advisors: Laura Doyle, Hohyun Lee, Michele Parker
Our team has designed an adaptive hydroponics garden for use at a high school in the Limpopo province of South Africa. The garden system features two unique "grow beds" and utilizes an energy and water conscious design to produce a diverse blend of vegetables.
Advisor: Christopher Kitts
Packaged food processors in the agricultural industry are currently overly dependent on labor to handle seasoning. Our project will provide a cost-effective solution to automate the handling of basil leaves to reduce human dependency and increase production output while championing food safety and cleanliness.
MECHANICAL ENGINEERING SESSION 1
Advisor: Hohyun Lee
GraftThis is a portable, self-regulating grafting chamber. Grafting is used to produce plants with desirable traits, like disease and drought resistance. The healing process has strict temperature and humidity requirements, which makes grafting very laborious. GraftThis aims to automate the healing process to increase access to the technology of grafting.
Advisor: Hohyun Lee
Sunny Side Solutions has partnered with Kenyan NGO, Sabore's Well, to design and build a solar-powered water heating system for a Maasai school shower for teachers to use on a daily basis, which will not only be relaxing, but will also encourage them to continue educating the next generation.
Advisor: Godrey Mungal
High rates of concussion in the NFL suggest that helmet technology is not satisfactory for the athletes, and soft foam padding has dominated the helmet industry since its inception. We propose that implementing a fluid-based hydrolastic suspension system into the helmet will reduce the risk of concussion in the NFL.
Advisors: Christopher Kitts, Godfrey Mungal
Our team has designed a prototype robot capable of lifting, stacking, and placing large trays of fruit to facilitate drying. We focused on motor control, mechanical tray alignment through small scale prototyping, and a full-scale design with the goal of being faster and safer than manual labor.
MECHANICAL ENGINEERING SESSION 2
Advisor: Gaetano Restivo
Our system is a bike-powered pump that pulls water up from a well of up to 100 ft. into a natural biosand filter and into a proper water storage system. All parts of this project are made up of local materials that can be found in rural Guatemala.
Advisors: Christopher Kitts, Gaetano Restivo
This project involves retrofitting an existing underwater robot for on-board battery power, with a new array of thrusters, lights, and sensors. A novel water sampling system using a shape memory alloy triggering device has also been prototyped for installation on the robot.
Advisors: Panthea Sepehrband, Calvin Tszeng, Dr. Henri Seppänen
Building an ultrasonic ribbon bonder for research at Santa Clara University specifically for Professor Sepehrband, Professor Tszeng and the materials science lab. The ultrasonic ribbon bonder will focus on allowing in situ visualizations of the bond as it is being formed.