Computer Science


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Wednesday, April 20th
8:50 AM

Using agent-based computational modeling to stimulate the mechanic stress responses of specific communities

Elizabeth Nyamwange '23, Illinois Mathematics and Science Academy

8:50 AM - 9:05 AM

Research shows that people with low incomes and racial/ethnic minority populations experience greater levels of stress than their more affluent, white counterparts. This can lead to significant disparities in both mental and physical health that ultimately affect life expectancy and shows correlation with a reduction in household SES as paired with mental and physical health barriers. To learn more about ... Read More

Using Machine Learning to Recognize CRS in Patients

Irene Liu, Illinois Mathematics and Science Academy

8:50 AM - 9:05 AM

Chronic Rhinosinusitis (CRS) is a nasal disease characterized by the inflammation of the mucosa and paranasal sinuses with a duration of at least 12 consecutive weeks. So, to diagnose CRS, one needs to keep a record of their symptoms for ~12 weeks before they are recommended to get a tomography which will allow physicians to classify them as a patient ... Read More

9:10 AM

Semantic Contrastive Multi-Modal Video Transformer

Dev Singh '22, Illinois Mathematics and Science Academy

9:10 AM - 9:25 AM

We present an architecture for learning semantic multi-modal video representations to learn semantic representations of videos from unlabeled data with transformer architectures. While multi-modal transformer architectures have been shown to increase accuracy of video classification and feature learning tasks, these techniques do not incorporate semantic information. Our Semantic Contrastive Multi-Modal Video Transformer (SCMMVT) takes raw video, audio, and text data ... Read More

9:30 AM

Data Augmentation Frameworks in Natural Language Processing

Gloria X. Wang, Illinois Math and Science Academy

9:30 AM - 9:45 AM

Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on. In this paper, we present NL-Augmenter, a new participatory Python-based natural language augmentation framework which supports the creation of both transformations (modifications to

the data) and filters (data splits according to ... Read More

Monitoring and Correcting HPV Vaccine Misinformation on Social Media

Ava Puchitkanont, Illinois Mathematics and Science Academy

9:30 AM - 9:45 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

10:05 AM

Efficient Dataset Creation Framework for Utilizing Complex Large-Scale Clinical Datasets in Machine Learning Applications

Braeden Cullen '23, Illinois Mathematics and Science Academy

10:05 AM - 10:20 AM

Artificial Intelligence-based analysis techniques have struggled to make headway in the field of neurological analysis. However, the systems that have been successfully implemented have shaped our modern understanding of neurological interactions. These analysis techniques are largely limited by a lack of robust frameworks for data generation and application, especially with relation to applications that require the usage of large datasets. ... Read More

Sleepiness and Emotion Detection with CNN and MediaPipe

Andrew Zhang '22, Illinois Mathematics and Science Academy

10:05 AM - 10:20 AM

According to research by Steinhauser et. al, inattention of the driver due to additional tasks, emotion changes, fatigue or eye movements played an important role in 78% of car accidents on the road. The National Highway Traffic Safety Administration estimates that at least 100,000 police-reported crashes are the direct result of driver fatigue each year. This equates to approximately 1,550 ... Read More

10:25 AM

A Machine Learning and Deep Neural Networks Approach to Diagnosing Idiopathic Pulmonary Fibrosis

Rashmi Alawani '23, Illinois Mathematics and Science Academy

10:25 AM - 10:40 AM

Idiopathic Pulmonary Fibrosis (IPF) is a lung disease with a mean survival of 2-5 years from the time of diagnosis in which alveolar tissue progressively becomes stiff fibrotic scar tissue, reducing breathing capacity and eventually leading to respiratory failure. The use of Machine Learning could predict IPF cases more precisely than the current surgical lung biopsy treatment years before the ... Read More

The Effects of Variability in C-V2X Networks

Luis Hernandez, Illinois Mathematics and Science Academy
Shaan Doshi '23, Illinois Mathematics and Science Academy
Vikarm Karra, Illinois Mathematics and Science Academy

10:25 AM - 10:40 AM

Our research investigates C-V2X networking, an LTE-based technology that enables communication from vehicles to infrastructure (stoplights, crosswalks, etc), pedestrians, and other vehicles without the use of network towers. Using the network, vehicles are able to communicate Basic Safety Messages (BSMs). BSMs communicate a car’s speed, velocity, position, and other information detailing a vehicle's state and path. By efficiently communicating BSMs, ... Read More

10:45 AM

The Construction and Evaluation of a Neural Network-Based Deep Learning Model using Transcriptomic Data to Predict Alzheimer’s Disease-Related Neuropathological Indexes

Elaina Xiao, Illinois Mathematics and Science Academy

10:45 AM - 11:00 AM

The elderly population is disproportionately affected by Alzheimer’s disease, which is observed cognitively. Using a set of next-generation RNA sequencing project (ROSMAP) from NorthShore University HealthSystem combined with clinical diagnostic profiles, we constructed a neural network-based deep learning model to predict the occurrence and severity of three geriatric-related pathological features. The final consensus cognitive diagnosis (cogdx) was taken post-mortem. Braak ... Read More

11:25 AM

Options Pricing with Neural Networks

Marco Bravo, Illinois Mathematics and Science Academy
Daniel Ma, Illinois Mathematics and Science Academy
Michael Yudovich, Illinois Mathematics and Science Academy
Edward Zhang, Illinois Mathematics and Science Academy
Philip Yi, Illinois Math and Science Academy

11:25 AM - 11:50 AM

In the modern day, Artificial Neural Networks (ANNs) have been recently used and tested to calculate and predict options pricing [Ke 2019], but currently, the most tested and reliable methods are the Binomial and Trinomial methods. Binomial and trinomial pricing models are valuation methods for financial derivatives, namely, options. The methods create a binomial or trinomial tree through an iterative ... Read More

Water Quality Data Collection through mWater Software

Erin Yoo, Illinois Mathematics and Science Academy

11:25 AM - 11:50 AM

Easily accessible water quality data is crucial in showing how local water supplies may be impacting public health and the environment for communities around the world. This project takes on the critical tasks of collecting, storing, managing, analyzing, and publishing water quality data from the Kishwaukee River Water Quality Assessment Study in DeKalb, Illinois using mWater, a robust online platform ... Read More