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Undergraduate Programs

2022 Senior Design Presentations Schedule



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Poly(ADR-ribose) Polymerase 14-specific Inhibitor for Hepatocellular Carcinoma
2:15 – 2:40
Clarissa Silvers, Colin Sim
Advisors: Ian Carter-O'Connell, Bill Lu
When Poly(ADP-ribose) 14 (PARP14) Polymerase is overexpressed in liver cells, they tend to be cancerous. Currently, there are no PARP14-specific inhibitors. Our Senior Design project aims to create a PARP14-specific small-molecule inhibitor via click chemistry techniques.

Engineering Stealthy Exosomes for Drug Delivery
2:50 – 3:15
Chris Olson, Mika Domingo
Advisor: Bill Lu
This project evaluates the potential of two anti-phagocytotic markers, CD24 and CD47, as exosomal surface modifications to create an immunoevasive drug delivery platform. Over-expression of these markers on the exosomal surface would allow these modified exosomes to evade destruction by macrophages and increase their survival in the body.

Immuno-anti-infective Drug Design using BioAI
3:30 – 3:55
Vivian Zhang, Cathy Chen
Advisor: Zhiwen (Jonathan) Zhang
Staphylococcus aureus bacteria invade mammalian cells by activating its extracellular receptor called Sortase A. Our project involves identifying a critical activating molecule of Sortase A using bioAI. Then, the inhibitor of the activating molecule is tested as a potential anti-infective drug to combat bacterial infection and antibiotic resistance.

Hydrogel Therapeutics for Protein Drug Delivery
4:05 – 4:30
Francesca Briggs, Daryn Browne 
Advisor: Prashanth Asuri
Hydrogels are water-based polymers with the potential to act as efficient and non-invasive drug delivery systems. Throughout our experiment, we investigate different hydrogel properties that can affect drug release rates as well as how crosslinking hydrogels can potentially improve therapeutic protein delivery systems.


Wearable Health Sensor Platform
2:15 – 2:40
Kelley McCarroll, George Kouretas
Advisor: Unyoung (Ashley) Kim
This project aims to develop a wearable, open-source, and low-cost health sensing platform that accurately analyzes relevant biometric signals to identify early stages of illness. This will help prevent hospitalizations and severe cases of COVID-19 or other related diseases by promoting early diagnosis among significantly impacted populations.

Gastrointestinal Myoelectric Phantom (G-MAP) for Benchtop Testing
2:50 – 3:20
Laura Apolloni, Takumi Simon, Vindhya Mullapudi
Advisors: Prashanth Asuri, Emre Araci
Our Gastrointestinal Myoelectric Phantom (G-MAP) is a benchtop testing tool that will be used in G-Tech Medical’s preclinical studies to simulate the clinical data collected through in vivo models. This phantom allows G-tech to test the efficacy of their product in reading EMG signals produced from the gastrointestinal tract.

Minimally Invasive Continuous Glucose Monitor
3:30 – 3:55
Eduardo Quintero, Justin Wong
Advisor: Unyoung (Ashley) Kim
Our project revolves around increasing the resolution of our microneedle arrays as a minimally invasive continuous glucose monitoring system. It is designed to be able to penetrate the dermal layer of the skin where it will measure glucose concentration in interstitial fluid.

Shear Detection of Microencapsulated Cells for Monoclonal Antibody Production Scaleup
4:05 – 4:30
Dwight Johnson, Kendall Defelippi
Advisor: Maryam Mobed-Miremadi
Scale the reported hydrodynamic shear values in industrial bioreactors for monoclonal antibody production to the shear stress measured in our custom microneedle prototype by extruding microencapsulated CHO cells. A correlation between the number of extrusion loops to reduction in cell viability enables a scalable screening method for bioprocessing efficiency.


Street Redesigns in San Francisco and Santa Clara
2:15 – 2:45
Noah Wong, Tigran Markaryan, Patrick Maguire
Advisor: Rachael He
Traffic design can account for human failure and prevent traffic deaths. This project is a street redesign of 19th Avenue in San Francisco and El Camino Real in Santa Clara. In these redesigns, past crash incidents, pedestrian needs, vehicular needs, and biking needs are addressed.

Water Storage Analysis and Design Portfolio for Nocaima, Colombia
2:50 – 3:20
Gisselle Paz-Ortiz, Lola Martin Uribe, Philip Bortz, Claudia Newell
Advisor: Laura Doyle
Residents of Nocaima, Colombia need a reliable water storage system to use during annual periods of reduced water availability. The team provides a water portfolio including two storage and filtration solutions utilizing rainwater for domestic and agricultural usage, and an analysis of water usage.

Supetai Well Water Purification
3:30 – 4:00
Claire Russon, Nicole Valdivia, Geovanni Usher
Advisor: Aria Amirbahman
A community in rural Kenya needs a reliable potable water source. Their current water sources are a distant spring of unknown quality or a centrally located well with high levels of fluoride. This project is addressing the need by designing a water purification system integrated with the well.


Saint Joseph Retrofit
2:15 – 2:40
Jordan Masutomi, Martin Duran
Advisor: Tonya Nilsson
A structural retrofit of Saint Joseph Hall and a renovation seeking to improve the building's sustainability. Our group seeks to propose possible solutions to bring Saint Joseph Hall up to current earthquake code and improve campus energy efficiency while doing so.

Emergency Relief Structure for Natural Disaster Evacuees and the Homeless Population
2:50 – 3:20
Rodrigo Mendez, Margaret Tolan, Madeline Yee
Advisors: Reynaud Serrette, Rachel He
Due to the lack of resources for natural disaster evacuees, the team developed two modular relief structures, each composed of different building materials, utilizing prefabricated panels. The design team realized that the versatile relief structure could be applied towards the homeless population and developed an interim housing community.

Home Ranch - A Single Family Residential Development in Gilroy, CA
3:30 – 3:55
Luke Lazzarini, Patrick Hagerty
Advisor: Rachel He
Provide a housing development plan for the Home Ranch site to aid the City of Gilroy's increased housing need in alignment with the City's 2023 Housing Element.

Affordable Farmworker Housing
4:05– 4:30
Daniel Garrett, Liam Anderson
Advisors: Rachel He, Tonya Nilsson, Nick Pera
Our project looks to solve the problem of the lack of affordable farmworker housing available, particularly in California. We took a possible location to design a complex, and our intention is for the housing to be a reproducible design.


AI Music-Based Emotional Regulation (AMBER)
2:15 – 2:45
Uma Bahl, Betty Hou, Xavi Anderhub, David Krakauer
Advisor: Maya Ackerman
We are developing a music-based emotional regulation application to investigate the use of artificial intelligence and machine learning techniques in music therapy.

Collage Art Therapy Bot
2:50 – 3:20
Dyllon Au, Roland Afaga, Jeremy Reyes, Alayna Wong
Advisor: Maya Ackerman
Our Collage Art Therapy bot acts as another accessible mental health resource for users. While the user creates a collage, the bot asks questions to help the user get a better understanding of their emotions and feelings.

3:30 – 4:00
Beckett Johnson, Ben Kummert, Alex Lewis
Advisor: Zhiqiang Tao
Our project, OliveAI, is oriented towards exploring the creativity and applicability of generative artificial intelligence technology through its application to food recipe creation and illustration. OliveAI has the overarching goal of inquiring how humans can seamlessly interact with this powerful emerging technology such that it can impact their daily lives.

Brilliance Bias in GPT-3
4:05 – 4:35
Nicole Lawson, Ashley Troske, Edith Gonzalez
Advisor: Maya Ackerman
With GPT-3's growing popularity, it's critical to correct bias in its generations. The Brilliance Bias imposes the idea of "brilliance" being a male trait. Our analysis reveals substantial Brilliance Bias in GPT-3. We develop Brilliance-Equalizer which counters the presence of this bias.


BRASS : Bandwidth Reservation on Arista Switching Systems
2:15 – 2:45
Conrad Park, Angelus McNally, Tyler Tivadar
Advisor: Behnam Dezfouli
Our project is a programmable, controller-based, resource reservation handler for remote Quality of Service (QoS) enforcement. This handler serves as a low-cost alternative to enterprise solutions and is targeted toward resource-limited Local Area Networks (LANs) handling mission-critical applications.

EMT: Software-based Energy Management Tool for WiFi IoT Devices
2:50 – 3:20
Nidusha Kannan, Aastha Chawla, Sreya Goyalia
Advisor: Behnam Dezfouli
EMT is a novel tool that will collect, analyze, and monitor the energy consumption of IoT devices in a low-cost, scalable, and entirely software-based manner. EMT will track the battery usage of a user’s devices and provide energy-efficient recommendations and insights to the user.

Smart Container Migration in Wireless Mesh Networks
3:30 – 4:00
Gagan Gupta, Kyle Fenole, Siddarth Venkatesh, Eason Liu
Advisors: Behnam Dezfouli, Christoper Kitts
Containers provide robust ways to deploy programs on various machines. After establishing a wireless mesh network with Raspberry Pi's, our system can perform live migration of containers as users move from various parts of the network, ensuring their program is constantly accessible.

NetCon: Dynamic Resource Allocation to Containers Running on Network Switching Appliances
4:05 – 4:35
Siena Hanna, Justin Lee, Tania Pham
Advisor: Behnam Dezfouli

Keep track of how busy a WiFi access point is. When it is sufficiently free, run containers on it (prioritizing mission-critical applications). Migrate the containers back to the cloud (starting with less critical applications) when the WiFi access point starts to become busy again.

BARK: A Programmable and Extendable Smart Home Network Security System
4:45 - 5:10
Rahul Mannikar, Sukanya Tiwari

Advisors: Behnam Dezfouli, Yuhong Liu

BARK is a network security system for smart home devices. It includes an open-source, extendable software program based on packet switching with seamless, user-friendly installation. The BARK web portal offers an intuitive GUI for monitoring network activity, customizing rules, and viewing alerts


2:15 – 2:45
Patrick Zhang, Matthew Hall, Matthew Brunkhorst 
College of Arts & Sciences Students: Madison Hoffman, Annika Disney, Kristen Hanlon, Lara Fernandes
Advisors: Silvia Figueira, Michele Parker
SengaSafe is an educational application that is easy to understand and user friendly for young women in Uganda. An important goal of SengaSafe is to normalize sexual health education so people aren’t so afraid to talk about it and/or seek help with their problems.

Large Scale Database Audio Collection of Tuberculosis Patients
2:50 – 3:20
JT Vinolus, Jordan Randleman, Daniela De La Torre, Aimee Kerr
Advisor: Silvia Figueira
A large-scale database of cough audio samples from tuberculosis patients.

Santé le Match: Education Hygiene Application
3:30 – 4:00
Evan Chou, Matthew Tolosa, Krizia Araracap
College of Arts & Sciences Students: Shelby Tadaki, Reha Shah, Carly Kellner, Kristina Yin
Advisors: Silvia Figueira, Michele Parker
We are building a mobile-based game application aimed to teach children in Senegal about health in a fun and innovative way with a team that consists of 3 senior computer engineers, 3 public health students, and an art student.

4:05 – 4:30
Jeremy Mekker
Advisor: Silvia Figueira
Global database of non-profit and non-government organizations.


Autonomous and Interactive Control of a Mobile Robot
2:15 – 2:45
Tanner Kaczmarek, Stephen Tambussi, Dylan Hoover, Kevin Molumphy

Advisor: Christopher Kitts

A perception and control system has been developed for controlling a mobile robot that operates in indoor environments of interest to a corporate partner. System software supports functions to include autonomous navigation, touch-interface motion control by human collaborators, and obstacle/collision avoidance enabled by advanced sensors.

EasyCompost: Improving Reality with Augmented Reality
2:50 – 3:15
Andrew Bredar, Jonathan Nguyen
Advisor: David Anastasiu
An object detection model to differentiate between various classes of waste (e.g. trash, recycling, & compost) in real-time to facilitate the proper disposal of waste in public settings. 

Interpnet: Neural Network Interpretability for Autonomous Vehicles
3:30 – 3:55
Casey Nguyen, Raghav Kapoor
Advisor: David Anastasiu
Understanding and analyzing neural network's black box nature through penalty functions.

Expanding Neuro-Symbolic Artificial Intelligence for Strategic Learning
4:05 – 4:30
Dorian Clay
Advisor: David Anastasiu 
Using hybrid artificial intelligence models to learn and reason about game strategy. Neuro-symbolic AI separates detecting objects in a game from reasoning about what to do with the objects to accomplish a goal.

Orion Plus: An Online Multivariate Time Series Segmentation Algorithm
4:45 – 5:10
Rishabh Chittaranjan
Advisor: David Anastasiu

Orion Plus is a time series analysis tool which segments and models a streamed-in multivariate time series using a set of representative patterns. These representative patterns change based on received, streamed-in data, providing insight for the overall behavior of the underlying system.


Improving Diversity in Journalistic Sources with Computer Vision
2:15 – 2:45
Sabiq Khan, Austin Johnson, Carlos Mercado
Advisor: Yi Fang
Leveraging different APIs, we aim to aid in the source diversity dashboard project by adding levels of accuracy to the gender and ethnicity predictions using computer vision on an image of the speaker.

Shuffle Debug - An Investigation of Immersive Debugging Experience
2:50 – 3:20
Abhinav Gokhale, Dillon Kanai, Ryan Summers, Daren Liu
Advisor: Sharon Hsiao
This project aims to help early programming students develop their debugging skills by creating an interactive and immersive environment through the use of augmented reality to simplify console error messages and help the user locate and fix the root cause of these errors. 

Orient: Teaching OOP with AR
3:30 – 3:55
Shivangi Kar, Stephanie Lu
Advisor: Sharon Hsiao
Our senior design project explores the potential for immersive technology to enhance computer science education. Through interactive examples, our augmented reality application helps middle and high school students visualize the object-oriented programming concepts of inheritance and polymorphism, which are fundamental to developing computational thinking skills.

Operating Machine Learning to Identify Tools For Resource Recommendation To Apply To Androids
4:05 – 4:35
Sebastian De La Cruz, Grant Schorr, Jason Chavez
Advisor: Sharon Hsiao
We plan to create a machine learning model to identify everyday hand tools, such as power drills and wrenches, by utilizing image datasets. This project is a proof of concept as the main feature for a future application designed for tool safety.


SmartNIC Compatible Blockchain
2:15 – 2:45
Eish Kapoor, Gavin Jampani, Vivek Ponnala
Advisor: Sean Choi
Our project aims to integrate SmartNICs (smart network interface cards) with blockchain to explore its performance on SmartNIC hardware and how SmartNICs can assist in blockchain applications like Bitcoin & IOT security.

Donation Pick-up and Tracking App for Colombian Food Bank
2:50 – 3:20
Arren Leung, Adrian Ramirez Lopez, Alex Fang, Rodrigo Mejia
Advisor: Angela Musurlian
A mobile application made for a Colombian food bank to log and track donations and donors, and serves as a platform for truck drivers to enter information for donations when picking up without the internet.

An Exploration of Modern Cross-Chain Communication Solutions
3:30 – 3:55
Connor Callahan, Bradley Lostak
Advisor: Yuhong Liu
Communication between blockchains remains incomplete. Present-day solutions all lack some capabilities. Commonly they lack speed or compromise on security. Our project is to explore and attempt to better understand these limitations and to possibly improve them. 

MySyllabi-An Online Syllabus Repository
4:05 – 4:30
Aristos Xanthus
Advisor: Angela Musurlian
MySyllabi is a functional website that serves as a quick and accessible location to find course syllabi. Students can search, view, and download current or past syllabi for a particular class. This resource will help students make more informed decisions during the course selection process.


Emergency Hot Car Alert System
2:15 – 2:45
Alex Lopez, Ryan Marquis, Chris Park
Advisor: Dat Tran

We are designing an alert system that may be implemented in all types of vehicles to notify drivers and bystanders of a possible life threatening situation. Our device will help prevent deaths caused by heat stroke when temperatures become too hot inside a vehicle.

Cost Efficient Radio Telescope
2:50 – 3:20
Tyler Ikehara, Brian Benedicto, Nick Arroyo
Advisor: Kurt Schab
Designing and constructing a radio telescope to observe the movements of celestial bodies in our galaxy. These radio telescopes are typically very large and expensive. Our project will implement a Software Defined Radio in order to make our system more size efficient and less costly.

B2-B2: LiDar 2D Mapping Rover
3:30 – 4:00
Laurence Kim, Isaiah Youngblood, Quenton Turner
Advisors: Sally Wood, Maria Kyrarini
This project improves robot navigation in environments composed mainly of glass walls by integrating ultrasonic sensors in contrast to the default LiDar or camera systems, as they fall short due to the transparency of the glass. Our final product creates a 2D map of the environment onto Robotics Operating System.

Microgrid for SCU with Vehicle to Grid
4:05 - 4:30
Kurt Williams, Cameron Refaee
Advisor: Maryam Khanbaghi
To design and simulate a complete energy management system with a microgrid for Santa Clara University campus with vehicle-to-grid functionality using SCU energy data and MATLAB


Healthy Hive - A Beehive Health Management Tool
2:15 – 2:40
Kwadwo Amoako
Advisor: Andy Wolfe
With recent declinations in honeybee populations, this project’s goal is to provide a tool to assist beekeepers to better care for their hives. By tracking metrics such as flight activity and temperature fluctuations through sensors and image processing, Healthy Hive analyzes the overall health condition of a bee colony.

Remote Crop Disease Detection System Using Deep Learning with IoT
2:50 – 3:15
Ivy Chung, Anoushka Gupta
Advisor: Tokunbo Ogunfunmi

Crop pests and diseases are major problems that cause low yield in farms. By developing a deep learning system to detect common tomato diseases through crop images, we anticipate our project to help increase crop yield, reduce food waste, and automate the tasks of detecting and caring for diseased crops.

Hardware and Software Infrastructure for an Agricultural Sensor Network
Mariela Zuniga, Bennett Dorsey
Advisor: Andy Wolfe
For this project, we are building the communication protocol for a bluetooth sensor network that is able to function in an agricultural setting. We will accomplish this by designing algorithms that tackle redundancy in the face of node failure and implement fault injection testing strategies to build resiliency.

Hardware Accelerated ECG Based TRNG
4:05 – 4:30
James Burrill, Sunny Jayam
Advisors: Sara Tehranipoor, Shoba Krishnan
We are designing and simulating an ECG based true random number generator on hardware in an attempt to provide increased security for implantable medical devices. Our goal is to maximize security while increasing resource efficiency in order to meet the demands of medical applications.


Detecting the Progression of Knee Osteoarthritis Using Vibration Sensors
2:15 – 2:45
Kailyn Wallace, Belen Blanco, Joseph Ford
Advisors: Behnam Dezfouli, Yuling Yan
We are creating a wearable device that detects joint stress and friction using vibration sensors in the knee in order for patients to more accurately assess the progression of their osteoarthritis.

BioAI for Anti-Infective Drug Discovery 
2:50 – 3:25
Johann Fernando, Adam Weaver, Cameron Leong, Maria Esquivel, Anna Fisher
Advisors: Silvia Figueira, Zhiwen (Jonathan) Zhang
We developed an AI platform for efficiently discovering anti-infective drug candidates targeting the Sortase A protein on the surface of the gram-positive bacteria Staphylococcus aureus. We tested the predicted drug molecules in vitro using an optimized invasion assay to confirm their efficacy.

NeuroGen: EEG and Near-Infrared Light Stimulation Device
3:30 – 4:00
Louisa Mantilla, Michelle Wong, Samantha Perez
Advisors: Tony Restivo, Julia Scott, Jes Kuczenski
This photobiomodulation electroencephalography (EEG-PBM) helmet studies the effects of infrared light therapy, which has clinical applications in neurodegenerative diseases. The team was responsible for designing and integrating the LED arrays and the cooling system cohesively into the helmet for an effective and comfortable transmission of light therapy.

NeuroGen: EEG and Near-Infrared Light Stimulation Control System
4:05 – 4:35
Karina Sanchez, Sruthi Balaa Sakthivel, Evan Jennings, Michael Bose
Advisors: Sally Wood, Yuling Yan, Julia Scott
This project explores how targeted delivery of near-infrared photobiomodulation (PBM) can be enhanced by neurofeedback training. The team designed the dynamic neurofeedback-PBM signal control interface of an integrated quantitative EEG and transcranial LED stimulation device.

Machine Learning fMRI Autism Classifier
4:45 – 5:10
Nicholas Luckenbach
Advisors: Zhiqiang Tao, Lang Chen
We use functional magnetic resonance imaging data to search for abnormal connectivity throughout brain regions of subjects with Autism Spectrum Disorder (ASD). Machine learning may provide unique insights into the nature of ASD, improve diagnostic criteria, and aid in finding biomarkers: physiological indicators of ASD.


Wage Wizard - Payment Tracking, Verification, & Support
2:15 – 2:45
John Davey, Kyle Mondina, Brett Rimmer
Advisors: Silvia Figueira, Jes Kuczenski
Wage Wizard is a mobile application for iOS and Android devices designed to help caregivers employed in Santa Clara County combat wage theft. It provides automatic, verifiable shift logging, expected payout information, and access to relevant, comprehensible, and trustworthy reference sources, with a focus on user privacy and accessibility.

Modular Oceanic Autonomous Underwater Vehicle for Novel Actuation (MOANA) 2.0
2:50 – 3:25
Ryan Konrath, Eva Kennar, Jake Taylor, Andrew Knaus, Silas Kidd Myers, Daniel Gutierrez
Advisor: Christopher Kitts
The team has extended the design of an autonomous underwater vehicle by developing a distributed command and control system that enables the vehicle to perform oceanographic sensing while navigating along a three-dimensional trajectory. Additional extensions include a safety system, a surfacing support package, and a GUI for goal-directed mission specifications.

A Low-Cost, Long-Range, and Solar-based IoT Soil Quality Monitor
3:30 – 4:00
Trina Nguyen, Julian Wong, Salvador Garcia, Markus Wong
Advisors: Behnam Dezfouli, Katie Wilson
A low cost, scalable system that relies on solar energy to collect data on soil quality, mainly for agricultural projects. It utilizes LoRa technology to handle long range wireless communication, so that the system could run in more rural areas, where access to widespread Wifi connectivity isn’t readily available.

Nautilus ROV Arm Attachment
4:05 – 4:40
Valeriya Chulyukina, Kekoa Blair, Noah Villar, Nathan Burke, Mandeep Singh
Advisor: Christopher Kitts
A removable robotic arm and sample storage, as well as control updates, for the Robotic Systems Lab's remotely operated vehicle (ROV), Nautilus. Nautilus previously had only limited imaging capabilities; its users, scientists mapping out the history of Lake Tahoe, would benefit from being able to retrieve sediment and rock samples.

LATAM Intelligent Filter for Education (LIFE)
4:55 – 5:25
Cinthya Jauregui, Andrew Lemus, Edison Yang, Daniel McCann-Sayles, Jonathan Woo, Linnea Rothi, Jordyn Quesenbery, Emily Nakata, Nicole Mossing
Advisors: Jessica Kuczenski, Kourosh Pahlavan
Our intelligent filter system engages primary school students across Latin America by demonstrating how STEM education can solve lack of clean water access. Our buildable, small-scale water filtration kit serves as a hands-on tool while our custom learning modules, offered wirelessly through a tablet, teach the students rudimentary STEM principles.


RoboVac: A Combined Vacuum-Blower Toolkit for Agricultural Robots
2:15 – 2:45
Joe Galang, Ershad Forghany, Alessandro Zagni, Nico Urdanivia
Advisors: Manoj Sharma, Kourosh Pahlavan, Christopher Kitts
Robotics and automation are the multi-billion dollar future of farming, but many labor intensive tasks including bug and moisture control are still performed by hand. The new RoboVac toolkit will streamline and economize these operations as one neat compact system.

Mars Rover Crash Vehicle Test Article
2:50 – 3:25
Peter Habelt, Gavin Maloney, Stanley Lieberman-Bulux, Benjamin Rupp, Reid Whitney
Advisors: Drazen Fabris, Nikola Djordjevic
Design, engineer, and fabricate a test article of a crash vehicle that protects a model Mars rover in the contingent case of partial failure in the parachute and thruster entry, descent, and landing systems.

Coconut Oil Space Cooler
3:30 – 4:00
Alex Fessler, Largim Zhuta, Hannah Covington
Advisor: Hohyun Lee
Creating a room cooling device that utilizes properties of latent heat storage to efficiently supplement an HVAC system or provide cooling for rooms without HVAC. The end goals are to shift energy usage to off-peak hours and provide an electricity saving cooling method.

Victoria Relief Foundation Kitchen Appliances
4:05 – 4:40
Guillermo Escobar, Ben Voelz, Seth Brown, Shane Murphy, Leslie Valenzuela
Advisors: Godfrey Mungal, Jes Kuczenski
Women in rural Cameroon spend hours processing leafy greens that are a staple in their daily diet and a major source of income. This project aims to create two manual kitchen appliances that will drastically reduce the physical effort and processing time needed to accomplish these daily tasks.

Preserving Flowers via Heat Treatment Using Waste Heat and Refrigeration
4:45 – 5:15
Matthew Wei, Robin Waymouth, Will Shearer, Vincent Cervantes
Advisor: Hohyun Lee
For this project, a flower preservation system was designed and built to help farmers enter and endure the volatile flower industry. The system utilizes refrigeration and the resulting exhaust heat to prolong the life of flowers in a cost effective, sustainable manner.


San Francisco Space Saving Bike Rack
2:15 – 2:45
Silas Viskovich, Webster Mertke, James Mertke, Evan Josa
Advisor: Pete Woytowitz
Busy and crowded cities like San Francisco must maximize the minimal floor space that they have available. For this project, a bike rack will be designed to turn the bike vertically with minimal user input. By turning the bikes vertical, space will be saved.

Autonomous Vending Automobile (AVA)
2:50 – 3:25
Alec Lindeman, Antonio Matusich, Jordan Hibbs, Jagos Jovanovic, Nick Elwell
Advisor: Godfrey Mungal
A solar powered, mobile vending machine designed to provide caffeinated beverages around college campuses. The current version of the AVA is remotely controlled by an operator. To avoid collisions with people and objects, the AVA employs automatic braking. Drinks are kept cold through using thermoelectric cooling and effective insulation.

Smart Bike Rack
3:30 – 4:00
Santiago Hinojosa Andonegui, Connor McGoldrick, Max Luna, August Rosedale
Advisor: Godfrey Mungal

Our team is constructing a proof of concept for an automatic Smart Bike Rack with a three point locking mechanism, which will allow a user to lock their bike and all of its components with the simple tap of a card.

Dual Axis Solar Tracker with Automated Cleaning System
4:05 – 4:40
Matthew Kelley, Nicholas Gallo, Jonathan Lung, Kevin Ehlers, Justin Eng, Brian Weitzenkamp
Advisor: Peter Woytowitz
Our project seeks to maximize the efficiency of a standard sixteen square foot photovoltaic surface by combining two axes of solar tracking with an automated water based cleaning system.

Cart Loader
4:45 – 5:20
Sean McCauley, Dalveer Grewal, Nick O'Brien, Ishan Kumar, Hayelom Fitsum
Advisor: Robert Marks
A device designed to increase the speed at which materials can be unloaded/loaded into a semi-truck. It is essentially a rolling platform that locks on to the top of a lift gate and expands the surface area significantly. For a start-up company called Dishcraft Robotics.