2023 Senior Design Presentations Schedule

Advisor: Unyoung Kim

MilkGuard is a microfluidic paper-based analytic sensor designed to detect E. coli in breast milk samples. Intended for use in ruralareas, this product minimizes risk of infection to infants while decreasing the time it takes for donations to get from donor to infant.

Advisors: Prashanth Asuri, Unyoung (Ashley) Kim

  

Transtibial amputees experience a loss of sensation and changes to the residual limb’s shape/volume that make prosthetics uncomfortable. This project aims to create a variable volume, impact-reducing socket liner with integrated haptic nodes that correlate to points on the prosthetic to maximize quality of life, comfort, and sensation.

Advisors: Yuling Yan, Emre Araci, Michel Hell

Our project is a cost efficient prosthetic leg for skiers who have suffered from a transfemoral amputation. The prosthetic is controlled by buttons on your ski pole that controls the extension and flexion of the knee to the angle that is needed to ski dynamically down the slopes.

Advisors: Emre Araci, Prashanth Asuri

We aim to enhance current dynamometry technology used by athletic trainers to evaluate athletes’ muscle strength throughout rehabilitation. By using EMG electrodes selectively placed on specific muscles, we can assess the correctness of the movement and detect muscle compensation, thereby providing more accurate data to complement the force output measurement.

Advisors: Prashanth Asuri, Maryam Mobed-Miremadi

This project focuses on creating a benchtop, hydrogel-based in vitro blood clot model that is able to substitute human or animal-derived thrombi models while mimicking their properties. Such clot models may be utilized by medical device companies that are developing devices for thrombectomy (a procedure to remove a blood clot).

Advisor: Maryam Mobed-Miremadi

The objective of this project is to reverse induced apoptosis through microneedle-mediated delivery of superoxide dismutase into a phantom skin model. Hollow microneedle puncture and compound delivery will be optimized for applications in wound healing.

Advisors: Maryam Mobed-Miremadi

The specific aim of this project is the use of bioelectricity as a sustainable method for bacterial mutation screening. Testing will involve using the mutant and genetically engineered strains in a microbial fuel cell. By analyzing the time course of current generation, robustness of this proposed method will be evaluated.

BIOENGINEERING SESSION 3 (Learning Commons 133, Viewing & Taping B)

Advisor: Bill Lu

This project creates a scavenging drug platform using exosomes, small lipid nanovesicles. We are using recombinant gene technologies to mount a single-chain variable fragment based binding protein to the surface of exosomes. They can reach more areas of the body including the brain for drug targeting.

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Anti-infective drug discovery
2:50–3:20
Maiya Fujiwara, Brandon Pang, Colette Caspar

Advisor: Jonathan Zhang

With antibiotic resistance on the rise, bacterial infections such as Methicillin-resistant Staphylococcus aureus are rendering common antibiotics ineffective. Thus, in response to this health threat, our project focuses on developing a novel immuno-anti-infective drug that targets Sortase A, an enzyme crucial to the invasion of Gram-positive bacteria into mammalian cells.

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New Generation of Nanovaccines
3:30–3:55
Joy Ku, Renceh Flojo

Advisor: Bill Lu

Exosomes are an up-and-coming target for diagnostics, drug delivery, and imaging. Alongside robust computational software, we designed a high-throughput epitope identification and mapping program to aid antigen optimization and nanovaccine generation. This program finds highly immunogenic sequences, maximizing compatibility between immune receptors and our target antigen utilizing binding affinity data.

Advisors: Rachel He, Laura Doyle, Hisham Said, Rocio Segura

The Sustainable, Environmental Transit Hub (SETH) is a multi-story transit center with the first floor dedicated to bus stations and the rest to parking. Its purpose is to relieve current traffic congestion in Kapolei, Hawaii, by encouraging bus usage for locals and tourists.

Advisors: Laura Doyle, Rachel He, Hisham Said, Reynaud Serrette

2655 The Alameda is a proposed 18,000 square foot mixed-use development which will be built adjacent to Santa Clara University. The team developed the structural, general civil, construction, and environmental aspects of the project to create a resilient design that is capable of adapting to the community’s needs.

Advisors: Laura Doyle, Aria Amirbahman, Steve Tarantino

New Braunfels, Texas is a city located in "Flash-Flood Alley," a region inundated with high frequency of dangerous and costly floods. To reduce flood risk in adjacent neighborhoods near the Dry Comal Creek, a stormwater park and greenway will be conceptualized.

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McLaughlin-Walsh Residence Hall Expansion
4:05–4:30
Rebecca Huang, Shanelle Smith

Advisors: Tracy Abbott, Sukhmander Singh

This project aims to increase the amount of on-campus student housing accommodations to meet the needs of Santa Clara University's increasing student population. The team provides a unique vertical expansion above McLaughlin-Walsh Residence Hall that requires no demolition to the existing housing structure.

Advisors: Aria Amirbahman, Steve Tarantino

A community in Kenya lacks clean water as their well is contaminated with high levels of fluoride; forcing them to retrieve spring water 5 km away. Collaboration between SCU, the NGO, Sabore’s well, and KU Leuven has led us to implement a RO water filtration system to purify their water.

Advisors: Sukhmander Singh, Tracy Abbott, Laura Doyle, Rachel He

Highway 17 is an essential corridor for commuters that creates a barrier between wildlife migratory routes. The highway is a hotspot for wildlife-vehicle collisions that endangers both animals and humans. This project provides a design for a wildlife crossing to ensure a safe passageway for key species across Highway 17.

Advisors: Reynaud Serrette, Hisham Said

In Silicon Valley, housing shortages continue to negatively impact communities. Due to the material, buildings are not economically sustainable and contribute to 40% of global CO2 emissions. Thus, the usage of emerging building materials can reduce carbon emissions and make the constructability of future housing more efficient by reducing costs.

Advisors: Hisham Said, Stephen Tarantino, Tonya Nilson, Sukhmander Singh

The state of California has been experiencing increasing levels of dryness throughout the state leaving the vast majority of the forests as loaded tinderboxes. Communities throughout the state must take action to fire harden utility lines to aid in protecting their citizens.

Advisor: Reynaude Serrette, Sukhmander Singh

The partial design of a steel and mass timber pedestrian bridge crossing the Guadalupe River in Downtown San Jose. The bridge will lie adjacent to the San Jose Children's Discovery Museum and is intended to educate students interested in pursuing disciplines related to STEM.

      

Advisor: Sean Choi

    

Our Avalanche Prediction Model utilizes machine learning to analyze weather and climate data in order to provide users in the Northern California back-country with accurate probabilities of avalanche occurrences. Avy Pro ML, lets users survey geographic terrain and see direct avalanche probability indicators for precise geo-locations of mountain faces.

Advisor: Sean Choi

Play2Code is a web application for teaching coding concepts to elementary school children.

Advisor: Sean Choi

Coastal is a mobile application that crowdsources data of coastal phenomena from user reports for scientific and safety purposes. It allows users to submit reports, view nearby reports from other users, and provides users with educational resources where they can learn more about potential coastal phenomena they might encounter.

Advisor: Sean Choi

The Dominican Republic's Loyola University needs a wirelessly connected network of sensors for their greenhouses. Our project uses LoRa communication to receive data on soil temperature and humidity levels, then organizes and displays this information on an interactable application.

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Climate Cloud
4:45–5:10
Atiyut Khemkhon, Dylan Lin

Advisor: Sean Choi

Our project, Climate Cloud, is a machine learning-based drought prediction model that utilizes data from the National Oceanic and Atmospheric Administration (NOAA) and the United States Drought Monitor (USDM) to accurately predict the likelihood of drought in western regions of the United States.

Advisor: Silvia Figueira

Our project consists of a system of applications created to enable communities in impoverished areas of rural Uganda to tell their stories. Our applications will be used as a centralized platform to take interviews, write stories, and display the stories for easy viewing.

Advisors: Nam Ling, Ahmed Amer

The project involves the design of a sophisticated NLP pipeline that will predict and generate full-sentence conversational responses in real time. This project pipeline is composed of three phases: (1) detect and record human speech; (2) diarize and transcribe speech; and (3) generate predictive sentences.

Advisor: Silvia Figueira

Whether Weather is an interactive website that analyzes the relationship between harsh weather and transportation safety. Our platform will show how a variety of weather conditions impact the statistical safety of every segment of road within certain geographical regions.

Advisor: Silvia Figueira

TwigeEnglish is a mobile app to help children learn English. It contains a Pictionary game, a spelling game, and an interface to upload photos so that the children can contribute to the games. An admin app enables the teacher to approve or deny said photos from being playable.

Advisor: Behnam Dezfouli

Working alongside the Master Beekeepers' Association, we created an affordable and open-source beehive monitoring system using cameras and the Raspberry Pi board to record footage. The collected data is compressed locally and sent via wireless links to an activity tracking and analysis component.

Advisor: Behnam Dezfouli

Working alongside the Master Beekeepers' Association, this project leverages machine learning methods to analyze and protect bees' health. We evaluate both edge- and cloud-based processing of bees' image data in terms of computational resources. The platform also provides a web interface for monitoring and analyzing bees' activities.

Advisor: Behnam Dezfouli

This project presents a novel approach for detecting attacks from Internet of Things (IoT) devices. In particular, we designed and implemented methods on a home gateway device (such as a Wi-Fi router) running machine-learning models for continuous traffic monitoring and analysis to detect botnets.

Advisor: Behnam Dezfouli

This project presents an affordable and scalable system to detect WiFi attacks in smart homes. The system continuously monitors and analyzes the captured data and alerts the user if an attack is underway. For example, we show how this system alerts users about attacks on surveillance cameras.

Advisor: David Anastasiu

An automated system to identify retail items passed over a designated checkout area for purchase using machine learning and computer vision based on the AI City Challenge 2023 dataset.

Advisor: Ying Liu

We are going to develop a program to perform super-resolution and artifact removal for compressed images that can output enhanced high quality images.

Advisor: David Anastasiu

The project will create an Android app for identifying and analyzing test strips for the prediction of kidney disease severity.

  

Advisor: David Anastasiu

FlowView is a web application designed to help Santa Clara Valley Water District make informed decisions about the future of water resources in Santa Clara County. FlowView utilizes Valley Water’s hydrologic sensors to display streamflow prediction data and manages machine learning models to train new streamflow prediction models.

   

Advisor: David Anastasiu

Packify is an application that helps users pack household objects and products. It does this by using machine vision to scan and identify objects and runs a 3D bin packing algorithm to find the optimal packing for a given bin size.

Advisor: Sharon Hsiao

An augmented reality web application that will help alleviate the pressure on incoming and potential first-year students with having to sign up for an on-campus tour. It would also allow people to explore the campus at their own pace and convenience, and familiarize themselves with the school's alums.

   

Advisor: Yi Fang

A web-based portal that generates a set of analysis models based on historic film data. Intended for students, writers, and producers, this application recommends feasible criteria when producing a new film.

  

Advisor: Yi Fang

Our project seeks to address a common problem in recommender systems: Bias toward popular results. By taking into account the musical characteristics of songs, our algorithm aims to generate recommendations that better support diverse artists and sounds.

  

Advisor: Xiang Li

  

A site to generate art based on audio files, influenced by the medical condition Chromesthesia, which allows people to interpret sound into shapes and colors. The site will take audio input and generate unique art based on how humans with Chromesthesia naturally interpret sound.

Advisor: Max Kreminski

Using JavaScript, we will reconstruct an open-source version of Versu, focusing on its social practice engine. Reconstruction of Versu will be done through architectures described within research papers by the creators of Versu and by extrapolating off of adjacent works such as Ensemble.

Advisor: Kai Lukoff

For incoming students, Santa Clara University offers very limited resources for choosing campus housing. To address this, we aim to create a virtual tour for each campus housing option and provide a sense of the unique social character of each residence hall.

Advisor: Sharon Hsiao

A mobile application that increases user awareness of their nutrient intake by utilizing AR to visualize nutrients in scale through mindful eating. Users can scan or manually input items they eat and our app will display the nutritional information to help consumers make more informed health choices.

Advisor: Kai Lukoff

Existing tours fail to capture the lives of the people who inhabit those spaces and turn them into actual places. Our goal is to answer the questions of prospective students by creating virtual tours of Santa Clara University that put storytelling at the forefront.

Developing an Open-source Tool for Systematic App Reviews for Non-Technical Researchers
4:05–4:35
Lauren Xie, David Truong, Tino Theodoropoulos, Jason Vu

Advisor: Kai Lukoff

The process of scraping metadata from app stores, called systematic app reviews, does not have defined best practices and the process of scraping app store data is costly and time-consuming. Our goal is to develop an open-source tool that non-technical researchers can use to easily scrape the Google Play store.

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MC (Monster Creator)
4:45–5:10
Harrison Bui

Advisor: Maya Ackerman

Provides a free-to-use character creator UI that allows users to create creatures and humans from their imagination. Also supports a character generator option using a user-specified body structure. 

Advisor: Hoeseok Yang

Our project will be a continuation of previous efforts that will feature the implementation of modern optimization techniques on an existing satellite image object detection neural network system. This technique takes into consideration the hardware and software characteristics of our deployment target to produce a reduction in inference latency with minimal decrease in accuracy.

Advisor: Hoeseok Yang

The objective of this project is to outline effective methodologies that enable a wide range of audio classifier neural networks to be characterized as consuming ultra-low power while maintaining accuracy and inference response time. The applications for this project allow for longer battery life in edge computing devices.

Advisor: Hoeseok Yang

To train and prune an image recognition neural network that can be used to assist the visually impaired.

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Advisor: Maryam Khanbaghi

Our project aims to implement a biomimetic cooling system modeled after the ghost plant in order to reduce byproduct heat while increasing efficiency of photovoltaic arrays.

Advisor: Maria Kyrarini

Implement an interactive guided-tour with a robot. The robot will walk to a room, give information about that room via speech, and continue to walk to the next one. It will koop through every room then back to its default position.

   

Advisor: Maryam Khanbaghi

We are designing and simulating a control system that can stabilize the voltage, frequency, and power of a microgrid consisting of a photovoltaic array, battery storage, and loads. Our control system will be able to island the microgrid in the event of a fault then resynchronize and re-enter grid-connected mode.

Advisor: Kurt Schab

Santa Clara Radio Astronomy Program (SCRAP II) is designed to provide a potential outlet for a radio astronomy setup. This program will focus on building a parabolic radio telescope that can provide insights to the sky, research, and collaboration for students and faculty at SCU.

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ELECTRICAL AND COMPUTER ENGINEERING SESSION 3 (Sobrato Campus for Discovery and Innovation 3116)

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Advisor: Jes Kuczenski

   

A simple replicable way to provide an easier, more efficient, and effective way for food insecure people and families to produce their own food. A solution that can be customized to be adopted in different circumstances worldwide and is environmentally friendly.

Advisors: Calvin Tszeng, Emre Araci

A breast pumping device that utilizes actuators, heating elements, and pressure differentials to mimic the natural motion of a baby's mouth during breastfeeding.

   

Advisors: Jes Kuczenski, Prashanth Asuri

We are prototyping and developing a control system for the Climate Foundation’s “Marine Permaculture” (MP) platforms in the Philippines designed for offshore seaweed cultivation. The Thermometer Servo Loop will sense and remotely communicate underwater temperature readings in real-time; consequently, the platform will change depth to consistently achieve optimal growing conditions.

Robotic Arm Extrusion End Effector
4:05–4:35
Savannah Hunt, Nico Figueroa, David Blouin, Nicolas Viamin

Advisors: Andy Wolfe, Peter Woytowitz

Our project's goal is to extrude materials with high viscosities in a manner which mimics 3D printing. This will allow us to print complex ceramic projects, precision-dependent manufacturing tasks, and much more. By the end of the term, we hope to print a precisely formed and water-tight bowl.

Advisors: Christopher Kitts, Michael Neumann

A low-cost robot arm, end effector, and storage system for the Nautilus underwater ROV that can retrieve, store, and record the location of multiple marine samples in one deployment.

Advisors: Yuling Yan, Benham Dezfouli

DreamTemp is a platform for sleep monitoring and improvement. Using a Fitbit to determine sleep stage and a Nest Thermostat to control the temperature of the room, DreamTemp dynamically adjusts the room temperature based on a person’s sleep stage with the goal to improve quality of sleep.

Advisors: Jes Kuczenski, Silvia Figueira

  

SafeHome provides newly arrived refugees with notifications, access to resources, and a secure place to store important documents. This app streamlines the overwhelming process of assimilating into a new community by offering information on the camp they reside in and surrounding areas thereby empowering refugees with the knowledge and resources they need to build a better future.

Advisors: Emre Araci, Julia Scott, Sally Wood

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.

  

Advisor: Jessica Kuczenski

This project aims to prototype a system where wheelchair users can propel forwards via levers and bike gears rather than hand rims. This system is designed to provide wheelchair users with a less strenuous mechanism of movement that can allow them to explore light hiking trails and go faster.

Advisor: Mohammad Ayoubi

The AIAA Design, Build, Fly Competition is an international aerospace competition that is built around designing and manufacturing an unmanned aircraft to perform specific tasks. Our team focused on the aerodynamics side of the project and performed simulations as well as calculations to ensure our design is capable of flight.

Advisor: Mohammad Ayoubi

Our project focuses on the control and structural design of a balsa fixed wing UAV, meant to be used at the Design/Build/Fly Competition with AIAA.

Advisor: Calvin Tszeng

Our goal is to build the most advanced, efficient, and affordable active car spoiler for retail production. The spoiler will adjust the angle of attack for the purpose of generating the maximum downforce and/or drag according to the current driving conditions.

Advisor: Robert Marks

STAR is a stabilization, trajectory, and recovery system that allows weather balloons to make trajectory adjustments during descent. Not only does STAR allow researchers to gather more precise data, but it also ensures that their measurement equipment lands in preferred environments for proper recovery.

Advisor: Jun Wang

A reusable soft helmet was developed using bi-stable structures and additive manufacturing.