Vol. 6 (2024)

Abstracts submitted by the Aspiring Scientists Summer Internship Program cohort of 2024. Each describes an 8-week project conducted under faculty mentorship at George Mason University that was publically presented at our in-person or remote research symposiums in August 2024. Congratulations interns on your completion of the program, and thank you for your hard work!

(Note: Not every ASSIP 2024 abstract may posted publically. Some projects are the subject of an invention disclosure, are undergoing double-blind peer review as part of a scientific manuscript, or describe findings that are part of a grant submission.)

DOI: https://doi.org/10.13021/jssr.2024

Published: 2024-10-13

College of Science: Department of Atmospheric, Oceanic & Earth Sciences

Understanding the impact of model resolution on Atmospheric River representation over western North America

Vehd Reddy, Rene Paul M Acosta
The Effects of Wildfire Aerosols on Phytoplankton Populations in the North Pacific Ocean

Ella Bagchi, Yunyao Li
Satellite-based NO2-GDP Index Quantifies the Emission Intensity of Economic Development

Matthew Wang, Yunyao Li
Exploring the Use of NEXRAD Radar Data for Real-Time Fire Plume Height Estimation

Riddhi Sadhanala, Yunyao Li
Influence of El Niño Southern Oscillation on Indian Summer Monsoon Intraseasonal Circulation and Cluster Dynamics

Deepa Shanmugam, Erik Swenson, David Straus
Analyzing Firework Emissions Across Various Locations and Settings in the United States

Arnav Ketineni, Siqi Ma, Daniel Tong
Seven-decades Of Roadway Fatalities Caused by Windblown Dust Events in the United States

Bill Huang, Daniel Tong
Assessing the Accuracy of a Machine Learning Model for Wildfire Spread Prediction in Regional Air Quality Forecasting

Mishka Kandhari, Wei-Ting Hung, Daniel Tong

College of Science: Department of Chemistry and Biochemistry

Computational Identification and Mapping of Protein-DNA Interactions

Evan Ru, Kenneth Foreman
Engineering an ATP Binding Pocket in the Kirbac3.1 Inward Rectifier Potassium Channel Scaffold using De Novo Design

Kuber Gohil, Kenneth Foreman
Computationally Exploring FKBP65’s Interaction with Collagen

Sai Susritha Daka, Kenneth Foreman
Structure-Based Discovery of Lead Compounds to Prevent Neuronal Death in Venezuelan Equine Encephalitis Virus Infection

Youbeen Jee, Kenneth Foreman
Controlled synthesis of gold nano bipyramids

Yutong Lin, Au Lac Nguyen, Hao Jing
Synthesis of Inhibitors of the Impα Protein Binding as a Potential Treatment for Venezuelan Equine Encephalitis Virus (VEEV) infection Binding

Keris Cho, Chloe Paige, Vito de Benedictus, Kyung Hyeon Lee, Mikell Paige, Greg Petruncio
Quantitative Isotopically Labeled Tags for Precise Proteomic Analysis via Mass Spectrometry

Vivaan Radheshwar, Nicole Wheeler, Greg Petruncio, Vito De Benedictis, Miloslav Sanda, Michael Girgis, Mikell Paige
Characterizing the small molecule Pyr-4MDM for modulation of the LTA4H enzyme as a potential anti-inflammatory drug

Zoe Paige, Saketha Vijay, Zach Beaulac, Greg Petruncio, Kyung Hyeon Lee, Mikell Paige
Design and Development of a Novel Peptide Theranostic Agent

Akshaya Muniganti, Majed Shabsigh, Lee Solomon
Synthesis and crystal structure studies of NdCrTiO5

Adam O’Brien, Zachary Messegee, Xiaoyan Tan
NdFeTiO5: Synthesis and Characterization of a Polar Magnetic Compound

Christina Lin, Zachary Messegee, Xiaoyan Tan
Investigating the effect of AuCu2-xSe Nanoparticle on Photocatalytic Nitrogen Fixation (PNF)

Tejas Venkatesh, Au Lac Nguyen, Hao Jing
Polarization Dependent Photoelectrochemistry of Anisotropic Rhenium Disulfide

Kathy Guo, Pelumi Adanigbo, Yun Yu
Visualizing Interfacial Charging Activity of Bipolar Organic Electrodes in Proton Batteries

Victor Wang, Eric Youngsam Kim, Yun Yu

College of Science: Department of Computational and Data Sciences

Learning Agent-Based Modeling Trough Virtual Reality-Based Simulations

Burhan Yasakci, Hamdi Kavak, William Kennedy
Quantifying the Relationship Between Vegetation Characteristics and Avian Diversity in Costa Rica

Abhimanyu Singh, Rosalie Liu, Olga Gkountouna, Maction Komwa, Ron Mahabir
An Investigation into the use of Newspaper Data and Large Language Models for Understanding the Occurrence of Flooding in the Caribbean

Krish Kalla, Aditi Arunprakash, Maction Komwa, Olga Gkountouna, Ron Mahabir

College of Science: Department of Environmental Science and Policy

ImageJ analysis of morphological changes in mud crabs from the Chesapeake Bay infected with castrating, zombie barnacle parasite

Joey Kim, Jose Meneses, Sarah Goodnight, Amy Fowler
Effects of an invasive barnacle parasite and salinity stress on the functional response of the native mud crab Rhithropanopeus harrisii

Madeline Kirchoff, Kiersten Jewell, Sarah Goodnight, Amy Fowler
Thermal Tolerance of Japanese Mystery Snails

Vedika Luthra, Daya Hall-Stratton, Amy Fowler

College of Science: Department of Forensic Science

LiDAR Drone Technology for Forensic Applications in Forested Areas Shows the Most Detail with Triple Returns

Kaitlyn Mylett, Steven Burmeister

College of Science: Department of Geography and Geoinformation Science

Simulating Vaccine Decisions in an Agent-Based Model of Disease Spread

Aanya Gupta, Emma Von Hoene, Taylor Anderson
Exploring determinants of vaccine uptake in individuals aged 65+ using Multi-scale Geographically Weighted Regression (MGWR)

Subaita Mahmud, Taylor Anderson
Analysis of the spatial-temporal patterns of vegetation, precipitation, land surface temperature, and soil moisture across the Sahara-Sahel Great Green Wall region using remote sensing data.

Andy Deng, Xianjun Hao, Dr. John Qu
Comparing Categorical Fire Risk Maps through 2001-2023

Ayonna Dasgupta, Xianjun Hao, John J. Qu
Enhancing Power Grid Resilience: A Novel Labeling System for Assessing Climate Vulnerabilities in US Substations

Akshay Walia, Evan Alexander Peters, Noah T. Rivera, Dennies Kiprono Bor, Edward J. Oughton
Low-Cost Geolocation for Laser Target Designators in Unmanned Aerial Systems

Ashwin Potluri, James Emilio Gallagher, Edward J. Oughton
Adaptive Multispectral Object Detection (AMOD) leverages the fusion of RGB and thermal imagery to enhance the performance of object detection models, particularly in varying environmental conditions and distance of the camera from the object. This is part

Aryav Gogia, Edward J. Oughton, James Gallagher
Quantifying the macroeconomics impacts of satellite failure on global supply chains

Grace Im, Edward J. Oughton
MRIO Modeling for Environmental Analysis of Broadband Infrastructure Expansion

Megan Zhang, Edward J. Oughton
Optimizing You Only Look Once Version 5 (YOLOv5) for Object Detection in Thermal Images

Nayel Rehman, Jim Gallagher, Edward Oughton
Greenhouse Gas (GHG) Emissions Poised to Rocket: Modeling the Environmental Impact of LEO Satellite Constellations

Rushil Kukreja, Edward J. Oughton
Analyzing the vulnerability of US Power Grids to Climate Change related Stressors

Siddha Bambardekar, Dennies Bor, Edward J. Oughton
The correlation of changing levels of Aerosol Optical Depth and annual tuberculosis incidences in Kenya

Alaap Kumar, Qian Liu, Xianjun Hao, John Qu
Modeling changes in climatic variables in Morocco using remote sensing data and statistical techniques

Purva Marfatia, John Qu, Xianjun Hao
Monitoring Water and Vegetation Change in the Great Green Wall of Africa Using NASA's FLDA Products and Machine Learning

Rachel Ku, Xianjun Hao, John J. Qu
A Streamlined Solution to Efficiently Reduce Errors and Label Geographical Images

Abishek Kanthan, Theodore Spanbauer, Chaowei Yang
An High Resolution and Efficient System for Labeling Solar Coronal Hole Images

Aditya Patil, Rakshita Chidananda, Theodore Spanbauer, Chaowei Yang
A Comparative Study of Machine Learning Models for PM2.5 Prediction

Claire Guo, Ahaan Shah, Anusha Srirenganathanmalarvizhi, Chaowei Yang
Analyzing Historical Snow Water Equivalent (SWE) Data: Trends, Economic and Social Impacts, and Prediction Accuracy Assessment

Anping Huang, Shourya Mehta, Yaron Li, Zeinab Yassin, Sai Vivek Vangaveti, Ziheng Sun
Adversarial AI Model for Fact-Checking Wildfire Chatbot Answers, Reliability, and Accuracy

Ayan Patel, Rohit Kamath, Nabiha Sharif, Abigail Lei, Meghana Koramutla Ramesh, Ziheng Sun
Symptom-Based Prediction of Respiratory Diseases Risk in Relation to Air Pollution Exposure

Irene Kim, Isabel Maday, Jyoshmitha Reddy Paturi, Ziheng Sun
Identifying Key Contributors to Regional Ozone Levels: A Machine Learning Approach Integrating Environmental and Socioeconomic Factors

Rahul Premanand, Sahiti Bulusu, Nora Paskaleva, Vishesh Saluja, Ziheng Sun
A Comparative Study of Decision Tree and Random Forest ML Algorithms for Estimating PM2.5 Levels from AOD

Kapilan Karunakaran, Seren Smith, Zifu Wang

College of Science: Department of Mathematical Sciences

Application of Physics-Informed Neural Networks to Asthma Epidemiology

Aadi Gannavaram, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer
Applications of Least Squares to find optimal solutions to real world problems involving circle regression.

Claire Pan, Padmanabhan Seshaiyer
Mathematical modeling, analysis and simulation of the spread of smoking in the United States using Optimal Control

Jonah G. Ascoli, Alonso G. Gabriel-Ogueda, Padmanabhan Seshaiyer
Modeling, Analysis and Prediction of COVID-19 dynamics with interacting subpopulations and human behavior using Physics-Informed Neural Networks

Naima Aubry-Romero, Alonso G. Ogueda-Oliva, Padmanabhan Seshaiyer
A Mixed-integer programming approach for identifying optimal levels of hydrogen fuel as a renewable energy source

Purva Mehru, Raina Saha, Padmanabhan Seshaiyer
Using Physics-Informed Neural Networks to Model the Dynamics of the Opioid Epidemic

Ryan Singh, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer
Control of Tuberculosis epidemic in South Africa using a Multi-stage Stochastic Recourse approach for resource allocation under various transmission rates

Simran Gupta, Raina Saha, Padmanabhan Seshaiyer
Mathematical Modeling and Physics Informed Neural Network approaches for studying the environmental impact of data centers on a county level

Sophie Hutter, Alonso Ogueda, Yehia Khalil, Padmanabhan Seshaiyer
Improving infectious disease predictions through the use of metapopulation SIR modeling and graph convolutional neural networks

Petr Kisselev, Alonso G. Ogueda-Oliva, Padmanabhan Seshaiyer

College of Science: Department of Physics and Astronomy

Development of Software Tools for Satellite Observations and Near-Infrared Imaging in Support of the NASA Landolt Mission

Alan Zhu, Peter Plavchan
Measuring the Velocities of Coronal Loops

Dominic Gasper, Sahil Shah, Arthur Poland
Using data from the EUV-imaging spectrometer to analyze velocities along a magnetic loop at different spectral lines

Leah Negash, Arthur Poland
Computational Analysis of Ion Velocities Along Coronal Loops

Noelle Kim, Karthik Subramanian, Arthur Poland
Calculation and Comparison of Velocities of Magnetic Loops on Sun’s Surface Using Ions at Different Temperatures

Tara Nalliah, Sanjay Ravishankar, Arthur Poland

College of Science: School of Systems Biology

Protein Signaling Profile of Prostate Tumor Metastasis Treated with Pembrolizumab: A Case Study

Cassandra Tate, Julia Wulfkuhle, Emanuel Petricoin, Rosa Isela Gallagher
Molecular Profiling of Stromal Components in Prostate Cancer: Leveraging LCM and RPPA to examine Clinical Outcomes

Rashda Choudhary, Cassandra Tate, Rosa Isela Gallagher, Julia Wulfkuhle, Emanuel Petricoin
The Next Generation of Laser Capture Microdissection: A Comparative Study

Rashda Choudhary, Cassandra Tate, Thomas Philipson, Cade Skislak, Emanuel Petricoin, Rosa Isela Gallagher, Lance Liotta
Inhibiting the Interaction Between Cancer Immunotherapy Targets FGL-1 and LAG-3 Proteins Utilizing Small Interfering Peptides

Daniel Choi, Miles Fischer, Ishaan Samantray, Jessica Roman, Remi Veneziano, Amanda Haymond
Novel TAR-Targeting Small Molecules Inhibit HIV-1 Transcription

Chinmayee Lanka, Kajal Patil, Fatah Kashanchi
Kinases from HIV-1 Infected Exosomes Drive Cell Cycle Progression in Recipient Cells

Isabel Wang, Anastasia Williams, Fatah Kashanchi
The Anti-Inflammatory Effect of Cannabinoids on HIV-1-Infected Monocytes

Quinn Conway, Anastasia Williams, Fatah Kashanchi
Secretory mitophagy is a novel pro-survival and pro-growth mechanism for Neurofibromatosis Type 2 cancers

Arnav Bandam, Atharva Tyagi, Rithvik Gabbireddy, Angela Rojas, Purva Gade, Marissa Howard, Lance Liotta
Secretory Mitophagy: A new target for ovarian cancer drug resistance

Atharva Tyagi, Arnav Bandam, Rithvik Gabbireddy, Angela Rojas, Purva Gade, Marissa Howard, Lance Liotta
Exploring the Spatially Dependent Proteome of Ovarian Cancer Tissue

Emily Marrero, Thomas Philipson, Marissa Howard
PINK-1 containing extracellular vesicles: A new molecular measurement of mitochondrial health and tumor growth

Rithvik Gabbireddy, Arnav Bandam, Atharva Tyagi, Angela Rojas, Layla Hasanzadah, Purva Gade, Marissa Howard, Lance Liotta
Optimizing exothermic chemical dyes within polymeric surfaces for high efficiency laser capture microdissection (LCM)

Shreyes Aier, Cade Skislak, Thomas Philipson, Marissa Howard, Lance Liotta
Analysis on Extracellular Vesicles Using the 96.96 IFC with SNP Type Assays as Quality Control for Biobanks

Nila Elangovan, Purva Gade, Marissa Howard, Lance Liotta, Amy Young
Screening Aggregation Breakers of Alzheimer’s Disease Aβ Protofibrils Using AutoDock CrankPep

Vibha Ganji, Christopher Lockhart
Investigating HER2/EGFR Signaling Dynamics and EV-Mediated Communication in Cancer Cells

Joseph Gallagher, Purva Gade, Barbara Birkaya, Lance Liotta, Alessandra Luchini
New nylon fiber protein extraction method advances hydroponic rhizosphere microbiome studies

Alexander Abboud, Mlumbeni Nkhoma, Roshni Shah, Maria Paz Ormeño Vasquez, Adriana Barrera Veizaga, Alex Yu, Donielle Nolan
The Prevalence of the KRAS Mutation in Lung Cancer Based on the Smoking Status

Sriram Subramanian, Rayan Alhammad, Lance Liotta, Emanuel Petricoin
Identifying Genetic Predispositions in Gastro-esophageal Disease Subtypes as Precursors to Esophageal Cancer

Saahiti Anantharaju, Eric Twum, Aman Ullah

Interdisciplinary Program in Neuroscience

Characterizing Developmental Changes in Long-Term Depression Through Chimeric NMDA Receptors

Diborah Gutema, Laura Mcauliffe, Abigail Findley, Bryce Sullivan, Theodore Dumas

College of Engineering and Computing: Department of Bioengineering

Neuron-by-neuron mapping of a whole fly brain

Ritvik Mutyam, Tania Abbas, Kiran Abbas, Lael A. Gonzalez, Giorgio A. Ascoli, Carolina Tecuatl
Can the cellular wiring of the brain shed light on epilepsy?

Zoha Naeem, Brynn Holland, Smrithi Balakumar, Mahnoor Bhatti, Ande Mitchell, Giorgio A. Ascoli, Carolina Tecuatl
Using Immunohistology to Investigate Cholinergic Fiber Density across Layers in the Medial Entorhinal Cortex

Nikhita Bhatt, Oliver Zheng, Holger Dannenberg
Investigating the correlation between cholinergic neuron activity and real-time behavior in mice using machine learning techniques

Yash Sreepathi, Myah Gross, Fatemeh Farokhi Moghadam, Holger Dannenberg
HERMIT: A Robotic Hand Mirror Therapy Device, Utilizing a Spiral CAM Linkage for Children with Cerebral Palsy

Akul Dixit, Quentin Sanders
Design of a Wearable System Providing Visual Biofeedback on Anterior Ground Reaction Forces to Increase Lower Limb Propulsion of Stroke Patients

Emily Hagen, Maya Panicker, Nelson Glover, Quentin Sanders

College of Engineering and Computing: Department of Civil, Environmental and Infrastructure Engineering

The Slow Negative Effect of Drought on Denitrifying Bacteria Bioreactors’ Rate of Removal

Nicola Beaumont, Allan Rowley, Kirin Furst

College of Engineering and Computing: Department of Computer Science

Measuring Acceleration of WebGPU for JavaScript

Krish Jana, Helen Qin, Sthitadhi Sengupta, Nan Wu, Bo Han
Formal Text Translation Using Large Language Models: A Replication Study on LLM-Driven Translation of Open-Source Software Documentation from English to German Language Variants

Alejandro Lomelin, Elijah Adejumo, Brittany Johnson
Using Language Models to Promote Inclusive Language in Software Development Communities

Joshua Jacas, Brittany Johnson
Evaluating the Performance of Automated Speech Recognition Systems for Black Users

Nicholas Lytle, Brittany Johnson
Constructing a Comprehensive Dataset of Reproducible Flaky Tests

Chuyan Wang, Mahbub-Ul-Hoque Sumon, Md Erfan, Md Mahmudul Hasan Pious, Suzzana Rafi, August Shi, Wing Lam
Flakewatch: Automated Categorization and Detection of Flaky Tests At Scale

Nate Levin, August Shi, Wing Lam
Optimizing Online Interval Scheduling Systems with Data-Driven Analytics for Enhanced Resource Utilization

Avi Saraf, Bobby Chab, Fei Li
Revolutionizing Inefficient Scheduling Systems by Adapting Offline Programming Techniques to Function in an Online Algorithm within a Python Application

Jude Caldwell, Minjun Cho, Bobby Chab, Fei Li
Improved Classical and Quantum Algorithms for the Shipment Rerouting Problems

Max Zhao, Arul Mazumder, Fei Li
Creating Complex Math Question Test Sets for LLMs to Train With

Himagnya Elaprolu, Jie Hao, Mingrui Liu
Assessing the performance of Kolmogorov-Arnold Networks in preventing catastrophic forgetting on continual learning tasks

Justin Lee, Michael Crawshaw, Mingrui Liu
Deploying mmWave distance sensing to Jackal UGV for more accurate navigation in hazardous environments

Vrishak Vemuri, Evin Mathen, Isabel Joseph, Rezoan Ahmed Nazib, Ahmad Kamari, Parth Pathak
Integrating Machine Learning and Motion Planning Techniques for Multi-Object Search in Unknown Household Environments

Akansha Bagga, Ansh Malhotra, Vennela Mandava, Yogeshwar Yehamadram Sridhar, Abhish Khanal, Raihan Arnob, Abhishek Paudel
Using Motion Capture Technology to Learn 6-DoF Vehicle Kinodynamics for Autonomous Navigation on Vertically Challenging Terrain

Matthew Choulas, Harry Yu, Claire Chen, Aniket Datar, Chenhui Pan, Xuesu Xiao
Cross-Generation Reliability Study of NVIDIA Volta and Ampere GPUs on Supercomputers: Similarities and Differences

Dhatri Parakal, Zhu Zhu, Lishan Yang
Enhancing Digital Interactions with AI Agents for Greater Convenience and Efficiency

Mengtong Xiang, Ziyu Yao
An Analysis of Generative AI Agents in Automatic Task Completion in Interactive Web Environments

Sarah Li, Ziyu Yao
Keylogging in Virtual Reality: Assessing Data Vulnerabilities via Motion-Position Sensors

Brian Ho, Xiaokuan Zhang
Training Deep Learning Models on Virtual Reality Spatial Motion Data for Implicit User Identification

Eliana Wang, Xiaokuan Zhang
Detection Tools in Smart Contracts: Reevaluating the Effectiveness of Reentrant Detection Methods Through Replication

Patrick Lee, Xiaokuan Zhang
Implementation of Learning to Enhance Cost Reduction in Object Search

Vennela Mandava, Yogeshwar Yehamadram Sridhar, Ansh Malhotra, Akansha Bagga, Abhish Khanal, Raihan Arnob, Abhishek Paudel, Gregory J. Stein

College of Engineering and Computing: Department of Cybersecurity Engineering

Signaling storming attack detection and mitigation in open radio access networks

Adithya Kapoor, Abiodun Ganiyu, Vijay K. Shah
Optimizing Beamforming for Efficient User Equipment Association with Base Stations within an Open RAN Compliant Network

Nikhil Nair, Abiodun Ganiyu, Sayanta Seth, Vijay Shah
Automating Labeling of ML Clusters using KPM Data for Interference Detection

Rachel Chan, Nathan Stephenson, Vijay Shah
Dynamic Time-Expanded Topology Design for LEO Satellite Network

Roshni Daruvuri, Sebastian Kwakye, Vijay Shah
Generating a Robust Dataset for Radar Detection in the CBRS Band

Yashasvi Banka, Nathan Stephenson, Vijay K. Shah

College of Engineering and Computing: Department of Electrical and Computer Engineering

Laser-induced Graphene for Emerging Quantum and Energy Applications

Risha Krishnan, Anusha Agarwal, Diego Lobo, Virginia Nardell, Kang Kang, Ethan Ahn
Enhancing Human-Robot Collaboration Through Robotic Eye Gaze: A Study on External Stimuli and Predictive Cues in Interaction

Adam Bhatti, Rajul Kumar, Ningshi Yao
Developing an ultra-lightweight capturing solution for organic, compliant bodies.

Sahana Senthil, John Wu, Dikshya Kandel, Heaven Asnake, Laghima Pandey, Yojan Gautam, Ningshi Yao

College of Engineering and Computing: Department of Information Sciences and Technology

Early Signs as Effective Indicators of Long-term Procrastination using Machine Learning

Aanika Tangirala, Mihai Boicu
Assessing the Consistency of Open-Source Large Language Models for Algorithm Evaluation

Ava Moazzez, Aditya Barman, Achyut Nuli, Kashi Kamat, Vibhav Katikaneni, Sarah Liang, Vineel Kandala, Mihai Boicu
SugarNet: Personalized Blood Glucose Forecast for Diabetic Patients with Joint Time-Frequency Learning

Bryan Zhu, Mihai Boicu
Quantitative analysis of feedback received from Claude 3.5 Sonnet on mathematical programming problems using a multi-dimensional rubric framework

Joel Raj, Ashwath Muppa, Achyut Dipukumar, Rhea Nirmal, Aarush Laddha, Teo Kamath, Sophie Hong, Meghana Potla, Mihai Boicu
Optimizing Positional and Rotational Data Collection and Transmission in VR Headsets to Observe Disruption of Internal Sensors

Charlie Hsu, Wenda Shao, Zhisheng Yan

College of Engineering and Computing: Department of Mechanical Engineering

Life Cycle Assessment Comparison of LiFePO4 and Li-NMC batteries and Transportation Methods for Electric Vehicle Applications

Tiyam Estaki, Stella Chang, Siyuan Wang, Pei Dong

College of Public Health

Presence of bacterial proteins in Human Breast Milk detected through Western Blot Techniques

Sahar Omari, Veronica Sanchez, Virginia Espina, Amira Albert Roess
Prevalence and Risk Factor Analysis of Campylobacter in Rural Bangladesh

Babiha Bakshi, Nikkon Sarker, Bilal Djeghout, Nafiz Ahsan, Hafizur Rahman, Jibon Hossain, Nusrat Alam, Thanh Le-Viet, Alison E. Mather, John Wain, Samir K Saha, Senjuti Saha, Nicol Janecko, Amira Roess
Detection and Quantification of Nile Red Stained Microplastic Particulates in Breastmilk using Fiji

Niranjana Marri, Veronica Sanchez, Virginia Espina, Amira Roess

Institute for Digital Innovation

Innovating and prototyping an AI-powered chatbot to track governance policies in the Space Force: Wingman

Avery Miller, Mitra Manikandan, Rohan Master, Srihith Layagala, Riti Lahoti, Rhea Bhadange, Neev Naguboyina, Tejas Ravipati, Shrihan Bathula, Arjun Rao, Rohan Bhadange, Afrah Nazneen, Sergeant Jeremiah Grenfell, Caitlin Bowers, Mihai Boicu, Kamaljeet Sanghera
FlightList: Automating Self-Assessment Checklists for Optimal Compliance and Efficiency in Air Force Units

Deepthi Kumar, Shivam Papneja, Vineel Kandala, Elizabeth Onafuwa, Tharun Kumar Reddy Kallaru, Mihai Boicu, Kamaljeet Sanghera
ReqFusion: Use of Natural Language Processing to Automate the Integration of Legacy and New Requirements for the United States Air Operations Command.

Grace Amartuvshin, Vivek Kakarla, Aayan Repala, Saifullah Mahmood, Ishika Chelpati, Sreeram Bangaru, Kamaljeet Sanghera

Costello College of Business: Department of Finance

Market Dynamics in Response to AI Breakthroughs: (Early) Evidence from ChatGPT

Prudhvi Kodali, Lei Gao
AI-Powered ETFs: A Quantitative Analysis of Performance, Risk, and Volatility in Financial Markets

Maria Soldatova, Claire Yan, Lei Gao

Virginia Serious Game Institute

Developing An Artificial Intelligence (AI) Agent for Early Elementary Education Using Dialectical Materialism

Amy Yejin Nam, Hasan Ibrahim Alaidaroos, James Casey
Utilizing hand tracking technologies in serious games to teach American Sign Language

Erika Wang, Inesh Gupta, Jack Snyder, Matthew Chen, Yao Liew, Clark Smiley, Sang Nam

College of Veterinary Medicine, Virginia Tech

The Optimization of Synovial Fluid Protein Quantification with Hyaluronidase

David Dawson, Anum Qureshi, Anwitha Sanivarapu, Guillherme Maia Mulder van de Graaf, Jennifer G. Barrett