Computer Science


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Wednesday, April 21st
9:10 AM

Water Quality Data Collection through mWater Software

Erin Yoo '22, Illinois Mathematics and Science Academy

9:10 AM - 9:25 AM

Around the world, communities aim to make water quality data publicly accessible in order to help community members recognize how local water supplies may be impacting their health and environment. This project assists with this goal by taking on the critical tasks of collecting, storing, managing, analyzing, and publishing water quality data from the Kishwaukee River Water Quality Assessment Study ... Read More

9:30 AM

A Machine Learning Approach to Predict Schizophrenia from SNP-Array Based Genomic Data

Chandra Gangavarapu '21, Illinois Mathematics and Science Academy

9:30 AM - 9:45 AM

Although the use of machine learning for disease detection has seen a sharp increase within the past several years, diagnostic methods for mental illnesses such as schizophrenia remain largely qualitative. This project aims to introduce a data-driven diagnosis by using genomic wide array data to predict schizophrenia. Various machine learning models using Python and TensorFlow were run on a dataset ... Read More

Quantification of TDP-43 inclusions in images of neurons

Jesse Park '23, Illinois Mathematics and Science Academy
Ju-Won Park '21, Illinois Mathematics and Science Academy

9:30 AM - 9:45 AM

TAR DNA-binding protein 43 (TDP-43) accumulates in the neurons and glia and has been linked to neurodegenerative diseases like frontotemporal dementia, amyotrophic lateral sclerosis (ALS), and Alzheimer’s disease. The project aims to quantify immunostaining signals of TDP inclusions for the nuclear position, type of staining patterns (homogeneous or granular/punctate), and subcellular distribution patterns in neurons. A library of images of ... Read More

10:05 AM

Evaluating Machine Translation in Natural Language Processing

Gloria Wang '22, Illinois Mathematics and Science Academy

10:05 AM - 10:20 AM

Human evaluation of machine translation is extensive, but expensive and inefficient, thus, automated evaluation metrics were created. Yet despite recent advances in the field of machine translation, there has been little changed about standard automated evaluation metrics such as BLEU. As the quality of machine translation systems has dramatically improved over the past decade, evaluation becomes an increasingly challenging— and ... Read More

Generating and Analyzing High-Resolution Structural Connectomes for Breast Cancer Patients to Assess Cognitive Impairment

Rachna Gupta '21, Illinois Mathematics and Science Academy

10:05 AM - 10:20 AM

Breast cancer patients have reported symptoms such as fatigue, insomnia, and depression while undergoing adjuvant therapy. Previous research has found that chemotherapy, a treatment for breast cancer, can lead to cognitive decline. However, the neurologic effects of other adjuvant therapies, such as hormone therapy, have yet to be fully explored. The objective of this study was to use diffusion tensor ... Read More

10:25 AM

Contrastive Multi-Modal Video Transformer

Dev Singh '22, Illinois Mathematics and Science Academy

10:25 AM - 10:40 AM

Transformer networks have shown great promise in video classification and understanding tasks by reducing the dependency on recurrent networks, and instead using self-attention techniques. Recurrent techniques are often not suitable for videos/data with long-term temporal dependencies due to the vanishing gradient problem, as well as the inability to fully backpropagate due to computational power restrictions. By using self-attention, a neural ... Read More

10:45 AM

Monitoring and Correcting HPV Vaccine Misinformation on Social Media

Emilia Daniels
Ava Puchitkanont

10:45 AM - 11:05 AM

Vaccine misinformation is widely disseminated on social media, and it is often difficult to correct. Social media posts that contain vaccine misinformation have been found to generate high engagement among social media users, and the spread of misinformation can be harmful to society. This project focuses on monitoring and analyzing sources and types of HPV vaccine misinformation on different social ... Read More

Shadows of the System: An Econometric Analysis of Race in America

Len Washington III '21, Illinois Mathematics and Science Academy

10:45 AM - 11:05 AM

The intent of this project is to examine explicit and implicit biases within the United States law enforcement and justice systems and how they can be impacted by race. It shows differences in all aspects of life, including birth, socio-economic statuses, education, adulthood and death. Specifically, it will review data about government spending per state’s education spending, as well as ... Read More