Schedule at a Glance Speaker Index Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Room 10 Room 11 Room 12 CAS Posters ASP Posters Special Events
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ASCII art is a graphic design technique that consists of pictures pieced together from the 95 printable characters defined by the ASCII Standard. FantASCII is a newly-created open-source web application allowing users to create, convert, and edit their own ASCII art. In FantASCII, users edit and create ASCII art quickly and easily using the suite of provided tools. To add additional functionality, grayscale brightness analysis and edge detection algorithms are used to allow users to convert photo and video data into ASCII art. For ease of use by other software developers, FantASCII is neatly packaged into a JavaScript Canvas class.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
Meet WIMS - a management and registration system to streamline event creation, updates, and registration. This system is designed with a hierarchical structure that allows staff to manage events, while providing easy access for all Willamette students and staff to view and register for upcoming activities. The platform aims to simplify the event management process and increase participation by providing a user-friendly interface, real-time updates, and personalized notifications. With this system, the Intramural program at Willamette University hopes to enhance the overall student and staff experience by creating a more efficient and organized approach to managing events.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
The purpose of this project is to provide self-tutoring websites for CS 151: Introduction to Python students, targeted primarily towards those who seem to pick up programming concepts less quickly than others. These websites are directly related to problem sets and assignments that have proven to be difficult in the past. Each site is interactive, mobile friendly, and requires the students to answer questions that will help them solve the actual problems without giving too much away. Examples of these exercises will be demonstrated and their potential impact on current students will be discussed.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
Hardware specification mining aims to develop a set of properties used to validate the correctness and security of computer hardware designs. Just as there are bugs in code that makes software, modern hardware is also written in code and may contain bugs. Enter Aphrodite, a tool for specification mining at the instruction set architecture (ISA) level. We use a full-system emulator to generate trace data from arbitrary assembly code or existing software, and generate hardware properties both functional and security-related. Our analysis provides insight into those properties guaranteed by the ISA and those that are required of the operating system.
Faculty Sponsor: Calvin Deutschbein
Discipline: Compuetr Science
The goal of this project is to create a user-friendly web application that provides nutritional information for every dish served at Willamette University's dining hall. Our approach involves web-scraping the current dining hall’s website menu and using the USDA nutritional information database to determine each dish's calorie and nutritional content, such as fats and carbs. We will incorporate student feedback into the design and development process to ensure the application meets their needs. This project will provide a valuable tool for students to make informed dietary decisions, promote healthier eating habits, and improve their overall health.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
We will use a Python library - PyGame - to create a fun game to simulate farming. The game shares a similar design with existing idle games and features non-traditional animals, weather mechanics, a currency system, power-ups, and our sense of humor. We will use the game development process to experience the entire software development life cycle, including planning, production, testing, and launching. In addition, we plan to use the “agile” software development method throughout the process.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
In this project, we will develop an improved 2048 game using an Artificial Intelligence algorithm to determine the placement of each new tile. We will train an AI to place each new tile in the “most difficult” location in order to make the game more challenging. This project will entail creating a website from which users can read about our project and access the game, developing the AI algorithm to ensure it actually makes the game work as we intend, and creating a user interface which allows users to play the game.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
This project explores the future of sports analysis and sports visualization. Using the Unreal Engine we have developed an application that is able to model any play that you would desire to use on a football field. With this app you will be able to design, test and showcase new play ideas as well as the defensive response to those plays. The sports market is in need of more realistic visuals and we seek to deliver.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
During the COVID-19 pandemic to the present, U.S citizens experienced major spikes in depression and anxiety disorders. As of today, self-reported depression and anxiety rates are up to 3 times the percentage of 2020. Using the dataset provided by the U.S. Department of Health & Human Services, “Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days,” we will uncover the effects of the COVID-19 pandemic on mental health and determine which states and groups of people were disproportionately affected by the pandemic.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
This project explores the application of convolutional neural networks (CNNs) for the classification of skin cancer using dermoscopic images.Skin cancer is one of the most common types of cancer worldwide, and early detection is crucial for effective treatment. Dermoscopic images provide a non-invasive way to visualize skin lesions and are increasingly used in clinical practice for skin cancer diagnosis. The proposed CNN model consists of multiple convolutional and pooling layers that learn to extract features from dermoscopic images.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
Hundreds of thousands of animals live in animal shelters within the United States and beyond; however, not all animals are adopted at the same rate. People prefer different traits and breeds, which can affect the adoption trends. Using data from the Austin Animal Center Shelter, this project aims to use regression and statistical analysis to discover which traits, breeds, and species are most likely to be adopted, which animals are at a disadvantage, and how to make sure all animals have an equitable outcome.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science
This project examines trends in financial aid and student tuition at colleges and universities in Oregon, and what roles they play in affecting student factors, such as graduation and retention rates, incoming class sizes, and student population demographics. It utilizes regression techniques and predictive models to help visualize these trends. This analysis may help colleges and universities understand how financial aid affects metrics such as student retention and graduation rates. The results of this analysis will be revealed and discussed.
Faculty Sponsor: Haiyan Cheng
Discipline: Computer Science