Search past science fair projects

A Machine-Learning Driven Approach to Detecting Gravitational Wave Signals From LIGO

Physics and Astronomy

Gravitational waves (GWs) are ripples in spacetime produced by massive astronomical events such as compact binary coalescences (CBCs) involving black holes and neutron stars. Although matche…

A Machine Learning Model for Predicting Fire Probability in Global Peatlands

Earth and Environmental Sciences

Peatland fires are among the most detrimental types of fires toward global warming, and are capable of releasing 10 times more carbon per hectare into the atmosphere than typical forest fire…

A Machine Learning Pipeline for Gene Regulatory Network Inference: A Case Study on Protamines

Biomedical and Health Sciences

Protamine 1 (PRM1) and protamine 2 (PRM2) are essential for packaging sperm DNA and maintaining genome stability during spermatogenesis. Changes in their expression levels are associated wit…

A Machine Learning–Powered Water Quality Prediction Model and Cost-Effective IOT Water Quality Monitoring System

Environmental Engineering

This study presents the design, implementation, and validation of a low-cost autonomous water quality monitoring and forecasting system integrating embedded IoT hardware with an adaptive mac…

CYSF · 2026

A Maglev Train

we built a train that floats on magnets

A Markov Chain Model for Predicting ETI Resistance Breakdown in Tomato–Pseudomonas syringae

Computational Biology and Bioinformatics First Award

Agricultural pesticide use remains substantial, increasing chemical exposure, environmental burden, and production costs. U.S. farms spent $21.7 billion on agricultural chemicals in 2024. Be…

Ambient Intelligence for Patient Care Environments

Biomedical Engineering

The current nurse to patient ratio in medical-surgical units spans from 1:4 to 1:6, however in long-term care units, this number can range anywhere from 1:15 to 1:30. Additionally, instances…

A Modular Approach to Cyclopropanols through Carboxylate and Aldehyde-Derived Substrates

Chemistry (Senior Division)

Cyclopropanes are important motifs found in natural products, commercial insecticides, and pharmaceutical compounds. However, their synthesis often relies on concerted reactions that limit m…

A Multi-Branch 3D-Aware Deep Learning Framework for Generalizable Small-Molecule Drug Discovery at HTS-Scale Performance

Biochemistry/ Molecular Biology (Senior Division)

Currently, small-molecule drug discovery for diseases such as Alzheimer’s (AD) remains challenging due to the inefficiency and costliness of traditional high-throughput screening (HTS), regu…

A Multi-Layer AI-Assisted in silico Pipeline for Generalizable Enzyme Engineering via Computational Directed Evolution

Computational Biology and Bioinformatics

Enzymes are widely used across healthcare, textiles, and environmental technologies, requiring optimization through enzyme engineering. Traditional approaches rely on wet-lab trial-and-error…

A Multi-Modal AI/ML Platform for Neurodegenerative Risk Prediction: Integrating Epigenetic Signatures Through cfDNA Methylation and Functional Mobility Data

Translational Medical Science Second Award

Neurodegenerative diseases, including Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI), are typically diagnosed after 50-80% neuronal loss, reflecting a critical failure of early…

A Multimodal Approach to Real-Time Seizure Prediction Using Discreet Wearables

Computational Biology and Bioinformatics Third Award

Epilepsy is a neurological disorder characterized by recurrent seizures, and affects nearly 50 million people, causing ~140,000 deaths worldwide annually. Many of these deaths could be preve…

A Multimodal Deep Learning Framework for a Novel Clinical Decision Support System in Retinal Disease Diagnosis and Management

Translational Medical Science Third Award

Visual impairment (VI) affects 2.2 billion people worldwide, and 1 billion cases are preventable with early diagnosis. Retinal diseases are preventable causes of VI. Clinical Decision Suppor…

A Multi-Modal Deep Learning Pipeline Integrating Physics-Informed Neural Networks and 3D Image Processing for Accurate Rupture Prediction and Data-Driven Surgical Planning of Cerebral Aneurysms: Year 3

Computational Biology and Bioinformatics First Award

Background: Rupture of cerebral aneurysm, an abnormal bulging of the arterial wall, can lead to brain hemorrhage and stroke. Endovascular surgical treatment is highly invasive and poses sign…

A Multimodal Early-Warning Framework for Respiratory Exacerbation Prediction via Acoustic, Genomic, and Environmental Data Fusion

Biomedical Engineering

Respiratory exacerbations are often detected only after symptoms become severe, limiting opportunities for early intervention. Current monitoring systems rely on clinic-based devices or sing…

A Multimodal Edge-AI Smart Cane for Real-Time Fall Prevention

Behavioral & Social Sciences (Senior Division)

Falls are a leading cause of injury-related hospitalization and loss of independence in adults aged 65 and older, yet most assistive systems remain reactive, detecting falls only after impac…

A Multi-Modal Framework for Exercise-Induced Anti-Tumor Immunotherapy

Biomedical and Health Sciences Second Award

Despite advances in immunotherapy, up to 60% of melanoma patients do not respond to treatment. Emerging evidence suggests that physical exercise enhances anti-tumor immunity; however, the mo…

A Multimodal Late-Fusion of Weather Data and Satellite Imagery for Wildfire Prediction

Environmental Engineering

Early wildfire detection and prediction systems based on machine learning have typically relied on a single type of data, either meteorological data or satellite imagery, limiting their accu…

CYSF · 2026

A Multimodal Neuroimaging and Omics approach for Rational Dual Therapeutic Design in Amyotrophic Lateral Sclerosis

Gold Medal

Research and finding patterns in omics expression and brain anatomy to design an alternative therapeutic approach for ALS, aiming to create a synergistic and more targeted approach than curr…

A Multimodal Vision-Language Framework for the Diagnosis of Farmer's Lung (Chronic Hypersensitivity Pneumonitis)

Medicine & Physiology (Track 2) (Senior Division)

Chronic Hypersensitivity Pneumonitis (CHP) is a progressive interstitial lung disease caused by repeated inhalation of environmental antigens and is particularly prevalent among agricultural…

CWSF · 2026

A Multi-Omic “Digital Embryo” Framework to Model Early Human Preimplantation Development In Silico

Disease & Illness Gold Medal

Nearly 50% of IVF embryos arrest before they become viable pregnancies, and the molecular mechanisms causing this failure remain poorly understood. The Digital Embryo is the first multi-omic…

A Multi-Omic “Digital Embryo” Framework to Model Early Human Preimplantation Development In Silico

Computational Biology and Bioinformatics Second Award

Nearly 50% of human IVF embryos arrest before reaching the blastocyst stage, yet the molecular mechanisms causing this failure remain poorly understood. Current literature examines omics in…

A Multi-Omics and Machine Learning Approach for Identifying Potential Salivary Biomarkers of and Treating Major Depressive Disorder

Computational Biology and Bioinformatics

Major Depressive Disorder (MDD) negatively affects over 300 million people worldwide as the leading cause of disability, and suicide. Yet, current biomarkers fail to capture its biological h…

A Multi-Stage Computational Pipeline for Designing Therapeutic Peptides Against Alpha-Synuclein Aggregation, Utilizing a Geometry-Aware Machine Learning Model Trained on ProLIF Data

Computational Biology and Bioinformatics

Parkinson's disease is the world's most rapidly growing neurodegenerative disease, and the cause is largely attributed to the misfolding of a protein in the brain known as alpha-synuclein (a…

A Multi-Target Chronopharmacotherapy for the Inhibition and Clearance of Toxic Proteins in Alzheimer's Disease

Translational Medical Science Third Award

Purpose: About 7.2 million Americans are living with Alzheimer's Disease (AD), with the number expected to to double by 2060. Currently used drugs for AD only reduce disease symptoms and mar…

An Accurate, Low-Cost Machine Learning System for Sleep Apnea Detection

Medicine & Physiology (Track 2) (Senior Division)

Sleep apnea, a disorder in which breathing repeatedly stops and starts during sleep due to airway obstruction or disrupted brain signaling, affects over one billion people worldwide.However,…

An AI Approach: Photo-Based Jaundice Detection and Prediction in Newborns

Medicine & Physiology (Junior Division) Fourth Award

An AI Approach: Photo-Based Jaundice Detection and Prediction in Newborns Ronika Pillarisetty J-15-17 I did not use AI, when writing this abstract, these are my own words and data analysis f…

An AI-Based Analysis of Music for Improving Mental Health in Adolescence

Behavioral & Social Sciences (Senior Division)

As stress levels of adolescents grow in modern society, the risk of severe mental disorders has increased. Recent studies reveal the potential of music to alleviate negative emotions. This s…

An AI-Controlled Underwater Floating Robot for Photochemical Treatment of Cyanide-Contaminated Industrial Wastewaters

Chemistry Fourth Award

Industrial wastewaters from gold mining and other industries often contain highly toxic cyanide-based compounds that threaten ecosystems and human health. This project bibliographically inve…

An AI-Guided Approach to Tuning Block Copolymer Nanostructures Through Homopolymer Incorporation for Advancing Filtration and Energy Storage Applications

Materials Science

Many advanced technologies, from water purification membranes to battery electrolytes, rely on block copolymers (BCPs) because they can self-assemble into well-defined nanoscale morphologies…