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Wednesday, April 19th
8:50 AM

A High-throughput Machine Learning Model for Predicting Neuronal Identity and Identifying Mutation-caused Neuropathological Defects

Elaina Xiao, Illinois Mathematics and Science Academy

8:50 AM - 9:05 AM

Congenital mental disorders, such as schizophrenia and major depressive disorder, affect approximately 20% of the US population. Research in clinical psychiatry, brain development, and medical genetics has established causal links between the nature of genetic backgrounds to the firing pattern of different types of neurons in the brain, which, in turn, leads to the psychopathological symptoms documented in clinical settings. ... Read More

9:05 AM

Computational Models in Mega Constellation Satellite Communications

Aadi Desai '24, Illinois Mathematics and Science Academy
Shaan Doshi '23, Illinois Mathematics and Science Academy

9:05 AM - 9:20 AM

Mega-Constellations are interconnected webs of thousands of satellites that deliver high-speed wireless communication to ground station clients. Major corporations, such as SpaceX and Amazon, utilize mega-constellations stationed at various altitudes in Low Earth Orbit (LEO). In recent years, the number of LEO satellites in orbit has greatly increased, resulting in conflicting bandwidth usage. Any such overlaps between various mega-constellations, known ... Read More

9:20 AM

Applying Privacy-Preserving Federated Learning to Biomedical Datasets

Madhav Hota '24, Illinois Mathematics and Science Academy

9:20 AM - 9:35 AM

Machine learning and artificial intelligence have become increasingly used in the healthcare industry, but they have privacy concerns. Federated learning is presented as a potential solution to these concerns, but its vulnerability to inference attacks is noted. The Argonne Privacy-Preserving Federated Learning (APPFL) framework is introduced as a privacy-preserving technique for federated learning. The project aims to evaluate the effectiveness ... Read More

Spectral Algorithms for Semi-Supervised Community Detection

Raghav Sinha '24, Illinois Mathematics and Science Academy

9:20 AM - 9:35 AM

Community detection is the problem of identifying groups or clusters of nodes in a network that are more densely connected to each other than to the other clusters. This is an important problem in network analysis and has applications in a wide range of fields, including social networks, biology, and computer science. In 1983, the Stochastic Block Model (SBM) was ... Read More

9:35 AM

Portfolio Optimization through Python

Nethra Shanbhag '24, Illinois Mathematics and Science Academy

9:35 AM - 9:50 AM

Portfolio optimization is the process of gathering the stocks most likely to create a well-rounded portfolio with the most opportunity to generate greater returns for its shareholders. Programming languages such as python can be used to calculate the volatility of certain stocks in order to reach an optimal portfolio. Certain packages and data readers found in Python are utilized for ... Read More

Towards a Scientific Language Processing Model

Ishan Buyyanapragada '24, Illinois Mathematics and Science Academy

9:35 AM - 9:50 AM

Natural Language Processing is an effective tool for analyzing large volumes of text effectively. However, most scientific articles contain sophisticated language that can be difficult to understand effectively and quickly. To expedite this, I tuned a model that can quickly classify abstract datasets about scientific topics into specific subcategories. Using the ArXiv corpus with over 2.2 million abstracts, I created ... Read More

Using CAFQA Initialization For the Analysis of Spin Hamiltonians

Bikrant Bhattacharyya '24, Illinois Mathematics and Science Academy

9:35 AM - 9:50 AM

The variational quantum eigensolver has been shown to be an efficient and accurate algorithm which can be implemented on NISQ era quantum computers. The variational quantum eigensolver relies on both classical and quantum computing, finding appropriate classical algorithms to combine with quantum computation will greatly improve the applicability of this algorithm.

Last year, Gokul Ravi and others demonstrated a novel ... Read More

10:05 AM

Implementation of AI into Human Activity

Rohun Baksh '24, Illinois Mathematics and Science Academy
Matthew Zhang '24, Illinois Mathematics and Science Academy

10:05 AM - 10:20 AM

With AI’s endless capabilities, humans have found numerous applications for AI to assist in both complex and simple tasks to improve efficiency and productivity. After extensive research on AI and its uses, we created our bot using Google’s Dialogflow CX Console. The purpose of this bot was to assist users in ordering food. This bot would be able to greet ... Read More

Microturbine Decarbonization with Machine-Learning Regression Modeling

David Biruduganti '24, Illinois Mathematics and Science Academy

10:05 AM - 10:20 AM

Authorities all across the world are trying to minimize carbon dioxide (CO2) emissions, and this decarbonization step is necessary if the global climate issue is to be resolved. Researchers at Argonne have modified a natural gas-burning microturbine to burn natural gas-hydrogen fuel blends with the aim to reduce CO2 emissions. Emissions and efficiency data are obtained via experiments performed at ... Read More

10:20 AM

Using Machine Learning to Classify Heart Arrhythmias

Manya Davis '24, Illinois Mathematics and Science Academy
Laasya Nagumalli '24, Illinois Mathematics and Science Academy

10:20 AM - 10:35 AM

The goal of the study is to research current technology being used to monitor heart rate patterns and learn how to incorporate machine learning to make current methods more effective and cost efficient.

This study utilizes a dataset containing records of patients’ age, weight, height, etc. along with typical electrocardiogram (ECG) test data. The first analysis approach involved the use ... Read More

10:35 AM

SAGA GPS Scintillation and Navsol Data Handling and Storage Mapping for Repository Offloading Purposes

Aarya Khapre '23, Illinois Mathematics and Science Academy

10:35 AM - 10:50 AM

Online repositories host data collected for research purposes in multiple formats to align with the researchers’ current data format. MIT’s Madrigal Repository for upper atmospheric sciences has many sub-repositories that store data on specific regions of research. The CEDAR subrepository hosts some GNSS scintillation data, similar to data collected by Illinois Institute of Technology receivers in Poker Flat, Alaska. Observing ... Read More

10:50 AM

Human Body Detection with Occlusion

Aditya Prashanth '24, Illinois Mathematics and Science Academy

10:50 AM - 11:05 AM

The purpose of this design experiment was to attempt to determine the accuracy/possibility of using Kalman filters to approximate a human’s location when blocked by an occlusion/obstacle. This could potentially be implemented in the field of human-robot interaction to allow humans and robots to collaborate without interference. The outcome of this research project could similarly result in more accurate measurements ... Read More

Machine Learning Diagnosis of Chronic Rhinosinusitis

Irene Liu '23, Illinois Mathematics and Science Academy

10:50 AM - 11:05 AM

Chronic Rhinosinusitis (CRS) is a nasal disease characterized by inflamed mucosa and paranasal sinuses for at least 12 consecutive weeks. The disease requires 12+ weeks of characteristic symptoms, nasal endoscopy, and/or a computed tomography scan which are frequently inaccessible in primary care. This project introduces an easier method to screen for CRS using a patient’s speech patterns, signal processing algorithms, ... Read More

Presence of Anti-Uyghur Influence Operations in Xinjiang

Ryan Li '24, Illinois Mathematics and Science Academy

10:50 AM - 11:05 AM

The purpose of this study is to analyze patterns of Twitter to determine the existence of influence operations and their relation to the current narrative of Uyghur oppression in Xinjiang. Our analysis focuses on the Twitter Moderation Research Consortium (TMRC) of flagged accounts marked as spam, or “persistent platform manipulation campaigns,” consisting of over 2,048 accounts and 31,269 tweets. We ... Read More

Runtime Comparative Analysis of Java and Python Programs with Algorithms of Different Time Complexities

Ellen Guan '24, Illinois Mathematics and Science Academy

10:50 AM - 11:05 AM

Runtime, one of the crucial metrics for evaluating program performance, differs between Java and Python programs due to their inherent differences, where Java is statically typed and both compiled and interpreted, while Python is dynamically typed and only interpreted. Our study investigates the extent to how features of Java and Python impact execution time of four programs with algorithms of ... Read More

11:55 AM

Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning

Anirudh Chari '24, Illinois Mathematics and Science Academy

11:55 AM - 12:20 PM

1.3 million people are killed in road accidents each year, and 94% of these accidents are caused by human error. This has motivated advancements in autonomous vehicle technology, and more recently, connected autonomous vehicles (CAVs). CAVs communicate location and intention information with each other over the air, and the prospect of cooperative planning within a system of CAVs promises greater ... Read More