2024 Senior Design Presentations Schedule

Packed-Bed Reactor for Integrated Peritoneal Dialysis
2:50–3:20
Julia Appleget, Allyson Kwong, Megan Moglia

Advisor: Maryam Mobed-Miremadi

The goal is to create an assisted peritoneal dialysis device stimulated by a custom 3-D printed packed bed reactor containing encapsulated urease fibers for uremic toxin removal. This prototype aims to decrease cycle time for patients undergoing peritoneal dialysis.

Investigating Exosome Secretion Using Genetically Engineered Molecular Sensors
3:30–3:55
Diego Garcia, Klaus (Pengyang) Zhang

Advisor: Bill Lu

Exosomes are naturally occurring lipid nanoparticles with proven potential in clinical applications. This project tests molecular methods to control exosome secretion, using a novel dual reporter system. Testing with small molecule drugs provides important insights on our ability to regulate exosome secretion.

AMBER: Ambulatory Monitoring of Biomarkers for Enhanced Recovery
2:15–2:45
Ben Serdy, Karl Schumacher, Oliver Hohman

Our project team is developing a wearable biosensor to monitor free hydrogen peroxide concentrations in the body which is a wearable to inform treatment plans. Our product will be a medical device that is prescribed to patients through their healthcare provider in order to better track the progression of their disease(s).

Impact Reducing, Variable Volume Prosthetic Liner with Integrated Haptic Feedback
2:50–3:20
Luke Brothers, Grace (Gigi) Schaefer, Zoe Straugh

Transtibial amputees experience a change to their residual limb shape due to edema, so they often experience discomfort and pain. We have developed an impact-reducing, variable volume liner with an integrated haptic feedback system that manipulates non-newtonian fluid to offset the change in limb volume.

Creating a hydrogel-based material in-vitro that can replicate the mechanical properties of a blood clot for the purpose of catheter testing.

Design of Sustainable and Affordable Housing for Disadvantaged Communities in Nicaragua
2:15–2:40
Guillermo Teran

Advisors: Tonya Nilsson, Hisham Said

Addressing Nicaragua's urgent housing needs, this project transforms a conventional CMU block design into a sustainable and affordable model using local, structural bamboo and adobe plaster. It includes appropriate member size connections, local-code compliant construction drawings, cost estimation and logistics, offering an eco-friendly, affordable housing solution for local communities.

Standardized Sustainable Rapid Housing Design
2:50–3:20
Ernesto Escalante, Tito Diaz, Lily Sieber

Advisors: Tonya Nilsson, Hisham Said

Using knowledge of sustainable site and building systems, our project seeks
to optimize the efficiency and cost-effectiveness of rapid interim housing developments throughout their lifecycle. This project emphasizes the engineering scopes of structural design, water resources, building envelope design, and construction management.

Dunne Hall Redesign
3:30–4:00
Rianna Maulino, Isabel Andaya, Jason Uechi

Advisors: Tracy Abbott, Rachel He

This project focuses on the structural redesign of Dunne Hall through the implementation of modular construction, to efficiently reconstruct the building in a limited timeframe. "Dunne Hall Redesign" uses transportation engineering to design alternative parking lot configurations, traffic signal phase plans, and stormwater and sanitary sewer management, among other considerations.

Calculaser S.A. — Colombian Medical Clinic
4:05–4:35
Cody Ferguson, Joell Macias, Aaron Bumagat, Daniela Valencia

Advisor: Hisham Said, Rachel He, Rocio Segura

Calculaser S.A. is a proposed 6-story medical clinic, with a 3-story underground parking garage, for the city of Pereira, Risaralda, Colombia. The team designed the structural, transportation, and construction elements of the project to meet the demands of the community.

Central Valley Canal Solar Canopies
2:15–2:45
Samuel Loeffler, Tommy Vithanage, Danial Garcia, Luke Shoenberger

Advisors: Hisham Said, Laura Doyle, Tracy Abbott

Solar panel canopies designed to cover a canal in the California Central Valley in order to reduce evaporation and promote groundwater recharge in an agricultural community that is dependent on well water.

Sheep Camp Creek Low-Water Crossing Redesign
2:50–3:15
Alex Avila

Advisor: Aria Amirbahman

This project involves a feasibility study for the implementation of a hydraulic structure over a scour-critical low-water crossing located in an SFPUC Bio-Habitat Restoration site. Project analysis and design involve structural, hydraulic, and construction considerations for an infrastructure crossing implementation

Development of Bamboo Structural Connections with ITESO University in Guadalajara, Mexico
3:30–3:55 
Turner Uyeda

Advisor: Tonya Nilsson

In partnership with faculty from ITESO Universidad in Mexico, a low-cost and easy- to-build bamboo structural connection was designed and tested. ITESO works with the disadvantaged community of Las Cascadas de Comala to utilize locally available bamboo for building community structures. A how-to manual has been developed to assist with construction.

Sustainable Design and Construction Using Cob
4:05–4:35
Madison Ly, Bailey McLaughlin, Katheryne Boardman, Alessandro Moya

Advisors: Tonya Nilsson, Jes Kuczenski

This project aims to promote education and implementation of cob building within the construction industry. Cob, an earthen material made from sand, clay, straw, and water, has been used for building all over the world. Two sets of cob walls, three 2’x2’x1’ and three 2’x2’6”, were tested using a diagonal compression test. The resulting shear strength was used to design a cob structure and explore the concept of rocking shear design.

Privacy-Preserving Fingerprinting of IoT Devices in WiFi Networks
2:15–2:40
Ethan Shenassa, Michael Castillo

Advisors: Behnam Dezfouli, Yuhong Liu

Identifying and fingerprinting devices within networks is a crucial step for network security. We propose and implement a novel machine learning-based solution that passively fingerprints devices while maintaining user privacy.

IoTsolate: Network Microsegmentation for Managing and Securing IoT Devices
2:50-3:15
Anagha Nair, Chloé Morali

Advisors: Behnam Dezfouli, Yuhong Liu

IoTsolate uses virtual local area network (VLAN) micro-segmentation to identify, isolate, and neutralize security risks in IoT devices. These devices have limited processing capabilities, diverse designs, and long lifespans, so they lack adequate shielding from attacks. IoTsolate prevents compromised devices from communicating with others, protecting unaffected devices on the network.

Ultra Low-power, High-Performance Presence Detection System
3:30–4:00
Dante Bajarias, Cristian Medal, Jashan Kaeley

Advisors: Behnam Dezfouli, Yuhong Liu

A presence detection system using an accelerometer and T-MOS technology to operate as both a low-power wake-up system for older, resource-intensive security systems and a stand-alone motion-detecting security system.

Edge-Connected Microcontroller Security
4:05–4:35
Gavin Ryder, Neena Ekanathan, Divya Syal

Advisors: Behnam Dezfouli, Yuhong Liu

With a wide range of applications and the rise of cyberattacks, securing MCUs has become imperative; however, ensuring MCU performance is also crucial given
how interconnected today’s systems are. This project examines the security and performance of next-generation microcontroller units (MCUs) leveraging new security solutions for IoT edge applications. By benchmarking these MCUs against key performance metrics, their viability will be assessed to facilitate the widespread adoption of this new firmware.

E-Scooter Black Box
4:45–5:20
Raghav Batra, Joshua Jerome, Mubashir Hussain, Soham Phadke, Suvass Ravala

Advisor: Behnam Dezfouli, Yuhong Liu

Our project is a ‘black box’ system that is able to record and analyze e-scooter riding data for the purpose of detecting misuse and rough handling of e-scooters in order to improve the cost-effectiveness and appeal of ride-sharing services.

Enhanced Target Wakeup Time Scheduling for WiFi 6/7 Devices
2:15–2:40
Alvin Lee

Advisor: Behnam Dezfouli

Wi-Fi 6 enables the use of novel energy efficiency methods, which can potentially save more power compared to traditional methods available in earlier releases of the standard. In this work, we identify the challenges and propose solutions to address the shortcomings of using these novel power-saving methods in real-world scenarios.

Performance Evaluation of Databases for Packet Capture Storage and Analysis
2:50–3:15
James Vong, Daniel Kareti

Advisors: Behnam Dezfouli, Shiva Jahangiri

This project analyzes different databases to evaluate which one is best suited for packet capture data. We will use a testbed that consists of edge devices and a wireless gateway, and then make various operations and queries for each database to test how each one performs.

Efficient Beehive Monitoring
3:30–4:00
Jack Ursillo, Connor Merhab, Aneal Kuverji, Anshuman Sahu

Advisors: Behnam Dezfouli, Shiva Jahangiri

This is a continuation project, in which we try to implement a more energy-efficient beehive monitoring system with a newer Machine Learning model and build a React Web application utilizing a database to store and fetch information.

The Impact of Emojis on User Engagement with Trolling Content in Online Platforms
4:05–4:30
Diya Saraf

Advisor: Yuhong Liu

This project examines how emojis influence user engagement with trolling content on online platforms, focusing on interaction patterns, emotional responses, and the potential for emojis to amplify or mitigate negative behaviors.

MeadowMinds: An AI Literacy Game
2:15–2:40
Michelle Yavorskiy, Lydia Kim

Advisors: Sean Choi

MeadowMinds offers a web-based gaming experience designed to facilitate the comprehension of fundamental machine-learning concepts among middle-school students. Through concept simplification, students attain a profound understanding of emerging technologies and their potential risks. This enables them to discern how AI behaviors can have implications in real-world scenarios.

TrendTour: Using ML to determine fashion trends
2:50–3:20
Khushboo Gupta, Xiomara Quinonez, Aaron Ancheta

Advisor: Sean Choi

TrendTour uses machine learning and web scraping to forecast fashion trends across various college campuses. Users can access our website to explore trends in colors, silhouettes, and accessories tailored to their individual styles and preferences. Our solution streamlines trend discovery, providing students with a platform to stay updated on the latest fashion trends.

ProtectNIC
3:30–4:00
Anson Xu, Arnav Choudhury, Eason Liu

Advisor: Sean Choi

Creating a system that would help detect ransomware using a Smart Network Interface Card (SmartNIC) which runs machine learning algorithms to detect ransomware before it enters the system. This relieves computers in the network of the burden of detecting malware, freeing CPU capacity to do other work.

Deep Learning-Based Single Image Super-Resolution
4:05–4:30
Isaac Orais, Sam Smith

Advisor: Ying Liu

The use of big data and surge in new deep learning techniques, especially transformers, has allowed researchers to push the boundaries of super-resolution. We created a single image super-resolution model that learns the relationship between high and low-resolution images to produce high-resolution images from low-resolution inputs.

Stereo Image Super Resolution
2:15–2:45
Mark Pang, Patrick Dormey, Quinn Samms, Alex Losivas

Advisor: Ying Liu

The project is focused on developing a model for stereo image super resolution with an emphasis on realistic degradation, aiming to improve image quality in real-world situations given left and right views of a scene. We build off of and combine previous state-of-the-art models to achieve this goal.

Newcomer: New Employee Networking
2:50–3:15
Jordan Mosakowski, Conner Yin

Advisor: Yi Fang

Newcomer, a mobile app and website created using Flutter and Flask facilitates workplace integration for interns, recent graduates, and new employees. By leveraging machine learning to suggest interest-based groups, it cultivates meaningful connections and long-lasting friendships, both inside and outside

UnbiasText
3:30–4:00
Byron Josh Cuachin, Samuel Landoch, Donal Pradeep

Advisor: Yi Fang

Algorithms and machine learning systems can inadvertently perpetuate bias if they are trained on biased data. Our project detects biased text, a step towards mitigating bias in AI programs like ChatGPT. Given a text input, our application outputs comprehensive metrics based on its bias.

RAG Menu Assistant Chatbot
4:05–4:35
Sam Abdel, Seth Mak, Christopher Michael, Aaron Pham

Advisor: Yi Fang

Our project uses Retrieval Augmented Generation to create a chatbot that can answer a variety of menu questions using up-to-date information, including pricing, ingredients, and more.

Corridor Counting
2:15–2:45
Amy Ha, Anthony Bryson, Vincent Zhou

Advisor: David Anastasiu

Design an algorithm for counting individual cars and trucks that move through a predefined corridor throughout the city based on footage from intersection cameras in the city.

Web App For Campus Registered Student Organization Interaction and Management
2:50–3:15
Ishan Sandhu

Advisor: David Anastasiu

The application will improve the visibility and accessibility of club activities, leading to increased student participation. It will also address the issue of outdated information, providing reliable up-to-date sources for club-related events and contacts. Those in RSO management positions will be able to curate their club in a consistent fashion.

Naturalistic Driving Action Recognition
3:30–3:55
Andy Xiao, Antonio Fontan

Advisor: David Anastasiu

Our initiative, part of the AI City Challenge, aims to enhance Naturalistic Driving Action Recognition using Deep Learning. By improving this system, we seek
to educate drivers on distracted driving's dangers, emphasizing safety and fostering awareness.

Two-Step Hierarchical Multi-Camera People Tracking
4:05–4:35
Eric Huang, Eerina Haque, Sihang Li

Advisor: David Anastasiu

Using computer vision we aim to uniquely identify pedestrians as they move into and out of the field of view of a network of multiple cameras. Our solution aims to leverage Single Camera Tracking to achieve state-of-the-art results, which will be submitted to the 2024 AI City Challenge.

The Journey to Desensitization: A Mobile App for Oral Immunotherapy Patients
2:15–2:40
Maddie Waldie

Advisor: Darren Atkinson

This project focuses on developing an iPhone application for Oral Immunotherapy (OIT) patients, leveraging Apple's privacy and security features. The app aims to support patients by seamlessly integrating with the Apple Health app for dose tracking, symptom logging, and visualizing long-term trends, while also providing education on anaphylaxis and OIT.

Virtual Museum Tours
2:50–3:20
Justin Enciso-Anaya, Karthik Tamil, Quoc Truong

Advisor: Kai Lukoff

Our project transforms the California Stories exhibit at the de Saisset Museum into an immersive virtual tour, integrating Matterport technology and HCI principles; this collaboration with de Saisset offers visitors a culturally enriching, interactive experience, elevating the standard of virtual museum tours beyond simple walkthroughs to engage a wider audience.

Autonomous Microgrid Agents
3:30–3:55
Xavier Kuehn, Brian Xiong

Advisor: Salem Al-Agtash

Microgrids are revolutionary power systems that leverage renewables in a small-scale grid network. This project aims to develop distributed agents, using SPADE (Smart Python Agent Development Environment), to operate the components of a microgrid. The agents will be able to maintain microgrid services during the islanding and disruption of renewables.

AR Storybook
4:05–4:35
Jessica Torres, Priya Jain, Melody Trinh

Advisor: Sharon Hsiao

This project implements a physical book paired with an interactive Augmented Reality (AR) application to visualize challenging computational thinking (CT) concepts.

Uruguay Recycling Project
4:45–5:15
Kamya Krishnan, Eason Ke, Danny Walsh, Aayooshi Dharmadhikari

Advisor: Shiva Jahangiri

The San Vicente Organization in Montevideo, Uruguay came to the frugal innovation hub looking for a solution to entering and maintaining their data. Our mobile and web applications are a streamlined and robust solution to their problem.

System Design with ChatGPT
2:15–2:40
Keeshan Rama, Paul Truong

Advisor: Hoeseok Yang

We will be researching and documenting the potential of ChatGPT to create Verilog code to work in conjunction with hardware. We will be giving the AI different prompts in order to observe the responses we are given and revising the prompts based on the output we wish to obtain.

Hardware Software Co-Design of zk-SNARK
2:50–3:15
Dev Shah, Allen Chellasamy

Advisor: Hoeseok Yang

zk-SNARK is a cryptographic proof that allows one user to prove to another user that they possess certain data without revealing that data. Our project utilizes a custom- built hardware accelerator, implemented on an FPGA, to increase the computational efficiency of zk-SNARK.

Santa Clara Hardware Intrusion & Exploitation Discovery (S.H.I.E.L.D)
3:30–3:55
Aziz Alajmi, Isaac Wilkinson

Advisor: Hoeseok Yang

Creating budget-friendly hardware security fault injection modules to fortify system resilience. This project focuses on designing cost-effective tools for exploiting security vulnerabilities in electronic systems, providing an accessible means for developers to enhance hardware security measures.

Autonomous Humanoid Soccer Robot with ML Applications
2:15–2:40
Zichen Huang, Wesley Tu

Advisors: Maria Kyrarini, Ahmed Amer

Our innovative project introduces a cutting-edge soccer training robot equipped
with sophisticated machine-learning algorithms for precise object detection and advanced reinforcement learning strategies to optimize performance. We aim to revolutionize the field by pushing the boundaries of robotics and artificial intelligence technologies, offering unprecedented training capabilities.

Assistive Mobile Manipulator for People with Limited Mobility
2:50–3:15
Matthew Tognotti

Advisor: Maria Kyrarini

This project presents a robotic arm attached to a mobile base, interfaced through speech commands, designed to assist individuals with mobility limitations in accomplishing everyday tasks. The robot retrieves objects for the user and allows the user to create lists of items for future interactions.

VoxLabs: Real-Time Vocal Trainer
3:30–3:55
Madhav Danturthi, Aidan Galia

Advisors: Sally Wood, Andy Wolfe

VoxLabs is a hardware-based real-time singing trainer designed to teach people of all ages and skill levels the basics of singing through an entertaining yet challenging environment with real-time corrective feedback, a plethora of musical lessons, and many fun games to play along the way

Automating Theater Lamp Control Using PI Vision
4:05–4:30
Clayton Wiley

Advisor: Andy Wolfe

Powered by a Raspberry Pi and an Infrared Camera, this module can be configured with any existing theatrical moving light to automate planar tracking of an actor or any other moving body.

Acoustic Data Telemetry for Marine Permaculture
2:15–2:45
Ben Shiverdaker, Jonathan Lin, Harrison Shaw, Mark Ellersick

Advisor: Jessica Kuczenski, Andy Wolfe

In partnership with the Climate Foundation, we're developing an acoustic data telemetry system to automate a submersible seaweed growth platform in the western Pacific Ocean. Our project aims to drive sustainable adaptation by fostering the optimal growth of a carbon sink, marine habitat, and food source, and to empower seaweed dependent communities with climate-resilient solutions.

Waypoint Profiler
3:30–4:00
Jeffrey Ke, Alex Collins, Ricky Schober, Kevin Wang

Advisors: Christopher Kitts, Michael Neumann

Our project is a robot that can navigate a marine environment to efficiently collect water column data which is vital to oceanographers' understanding of marine ecosystems.

9-Axis Motion Tracking to Aid Therapeutic Recovery via Visualization, Analysis & Progress Monitoring
4:05–4:35
Liam A'Hearn, Megan Wiser, Liam Kelly, Chris Tamayo

Advisor: Sean Choi

An innovative approach to enhance at-home physical therapy exercises through the development of a wearable motion tracking system. The proposed system utilizes motion-tracking bands worn by patients during exercises, specifically focusing on
a squat jump for the initial phase of the project.

Nautilus 23/24: Deep Sea Dexterity
4:45–5:25
Ian Staff, Quinn Bates, Sarah Abruzzo, Saunder Salazar, Davis Robertson, Nick Aguilar, Morgan Watts

Advisors: Christopher Kitts, Michael Neumann

Making the operation of Nautilus underwater ROV a user-friendly experience by designing an intuitive GUI along with a novel end-point-controlled end effector.

SCU Maps: Augmented Reality Navigation for the SCU Campus
2:15–2:40
Nicolas Lopatin, Bryan Alexander

Advisors: Angela Musurlian, Jessica Kuczenski

This project provides an Augmented Reality solution for the SCU community to quickly and efficiently navigate to select indoor and outdoor campus locations. An iOS/Android app locates the user using the device camera, allows for destination selection, and provides turn-by-turn directions using AR elements overlaid on the user's surroundings.

NeuroGen: EEG and Near-Infrared Light Stimulation Control System
2:50–3:15
Mike Kreienkamp, Olivia McConaghy

Advisors: Julia Scott, Sally Wood, Andy Wolfe

Transcranial photobiomodulation is an experimental treatment for neurodegenerative disorders and neuroinflammatory conditions. NeuroGen is a hybrid photobiomodulation and electroencephalography device whose purpose is to optimize light-stimulation therapy methods. This will open new possibilities for better clinical outcomes and research on the effects of photobiomodulation on the brain.

PACRR — Piloted Autonomous Crisis Reconnaissance Robot
3:30–4:00
Nicholas Kenny, Aidan O'Hare, Luca Chierotti, Tyler Costello

Advisors: Maria Kyrarini, Andy Wolfe, Ahmed Amer

The aim of PACRR is to create a low-cost, autonomous capable quadruped robot for first responder applications like search and rescue, detecting gas leaks, and other situations where it is dangerous or too confined for humans. We are starting with an open-source design for a 3D-printed robot dog, then modifying it to be better suited for rugged and unsafe applications. Our design will be cheaper, simpler, and more expendable, allowing even small organizations to use it.

dexArm Automated Fabrication Workcell
4:05–4:40
Kira Hofelmann, Amy Kiyama, Sam Lim, Cameron McGinnis, Alex Torres

Advisor: Christopher Kitts

An automated, modular fabrication work cell that uses dexArm robotic arms to enable the small-scale production of customized, short-run batches of simple products.

Enclosed Hydroponic System
2:15–2:45
Ashley Oh, Jason Slifka, Bella Wanebo

Advisor: Hohyun Lee

We are making an enclosed hydroponic vertical farm which is designed to provide fresh produce in areas with extreme conditions that are unable to grow fresh food outside (McMurdo Station, Antarctica). Our system will grow spinach and should
be autonomous for at least a month so the user does not have to interact. It will be plugged into an outlet for power and to grow plants hydroponically (in water). It has three main subsystems (tubing — fluid flow, electronics, and the enclosure — heat).

Small Scale Wave-Energy Conversion for Remote Applications
2:50–3:25
Max Mailloux-Beauchemin, John Stephenson, Brandon Nguyen, Ryan Chang, Rafael Torres Rodriguez

Advisor: Peter Woytowitz

Our project is to design a Modular Wave-Energy Converter meant to power small maritime buoys with renewable and continuous power. Our focus is sustainable and environmentally friendly engineering, manufacturability and ease for repair/ maintenance.

ALGAE: Advanced Lakebed Guardian and Algae Eradicator
4:05–4:40
Máté Aranyosi, Julien Buist-Thuillier, Victor Calata-Gentil, Elia Döhler, Brian Yeh

Advisors: Michael Neumann, Christopher Kitts

A remotely operated marine rover robot designed to efficiently remove harmful invasive algae species from freshwater lakes. The rover will also serve as a modular platform for a variety of environmental marine applications and benthic sample collection for geological and ecological research projects.

DOLPHIN: Drone-based, Oceanic Landing Platform with High-tech Integrated Navigation
4:45–5:20
Keanu Dayton, Ethan Hang, Jack Hartline, Jordan Puetz, Tomas Ronderos, Zara Shariff

Advisors: Michael Neumann, Christopher Kitts

We are developing an autonomous, ocean-based, drone landing platform that will have automated navigation, stationkeeping capabilities, and a stabilizing platform. We are modifying the SWATH (small waterplane area twin hull) vessel that was built in 2005 and new technology will be retrofitted to better suit our needs.

MECHANICAL ENGINEERING SESSION 2 (Benson Center, Parlors B & C)

High-Temperature Vacuum Furnace
2:15–2:45
Alejandro Mendez-Reynoso, Ben Spielman, Manu Bodagala, Peter Schumacher

Advisor: Robert Marks

We are designing and building a water-cooled high-temperature vacuum chamber for a tensile tester that can withstand 2000°C. With this attachment, the tensile tester could run tests on materials at high temperatures which would expand the material testing capabilities at SCU.