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Chemistry

The purpose of this experiment was to test the spread and droplet size of a drone application with and without a chemical surfactant adjuvant. It is hypothesized, the water with the chemical…

CYSF · 2026

Long COVID Risk Factors and Possible Biological Mechanisms.

I wil research about Long COVID and it's risks to answer the question; Why do some people develop Long COVID while others recover completely?

CWSF · 2026

Long, Long Ago in a Galaxy Far, Far Away...

Aerospace Bronze Medal

Since its founding in 2007, Galaxy Zoo participants have helped scientists classify hundreds of millions of galaxies and played a crucial role in examining large astronomical data sets (Pear…

Long-Term Cardiovascular and Mortality Risk in Patients with Pre-Existing Arrhythmia Post-SARS-CoV-2 Infection

Medicine & Physiology (Track 2) (Senior Division)

Background/Objectives: Individuals with arrhythmia who survived COVID-19 could be susceptible to long-term cardiovascular complications and clinical outcomes. Methods: We performed a retrosp…

Loss-of-Function Mutations in Csx27 Reveal Pore Activity Is Required for CRISPR–Cas13b Antiviral Defense

Microbiology Fourth Award

CRISPR–Cas systems enable bacteria to defend against viral infection through RNA-guided nucleases and accessory proteins, though the functions of many accessory components remain unclear. Th…

Lotion in Motion

Product Science (Junior Division)

Many people buy overpriced items when they do not know what is in them. An experiment was conducted to discover the difference between an expensive moisturizer and a cheaper one. The goal wa…

Low-cost AI-Powered Microplastic Detection Kit

Environmental Engineering (Senior Division)

Purpose/Design Goal and Background: We had heard about the dangers of microplastics (plastics <5mm) and how common they are in water, so we wanted to test our house’s water. However, we soon…

Low-Cost and Easily Accessible Flash Flood Detection System

Engineering Technology: Statics & Dynamics

Flash flooding is one of the deadliest weather events, taking over 5,000 lives each year. Traditional flash flood detection systems are often inadequate: they are expensive, require frequent…

Low Cost Breath-Based System to Detect Cancers

Biomedical Engineering Third Award

In 2025, the American Cancer Society reported 2.1 million Americans were diagnosed with cancer, which is the leading cause for 1 in 6 deaths. This can largely be attributed to late diagnoses…

Low-Cost Detection of Structural Behavior Changes Using Smartphone Vibration Data

Applied Mechanics (Junior Division) Third Award

This project addresses an inspection gap in structural monitoring because loosened connections or developing cracks can increase the risk of collapse. However, frequent vibration monitoring…

Low Cost ESP32 Vision-Based Edge AI Device for Bicycle Rear Vehicle Detection and Collision Warning

Electronics & Electromagnetics (Senior Division)

Cyclists face significant risk from rear-end collisions due to limited awareness of approaching vehicles, and existing safety technologies like the $200 Trek CarBack Radar remain pricey. Thi…

Low-Cost Grating-Based SPR Sensor for Detecting Waterborne Toxins

Over two billion people lack access to safe drinking water every year, exposing them to heavy metals, pesticides, and microbial toxins that cause cancer and developmental disorders. Biosensi…

Low-Cost Nanocrystalline Nickel Reinforcement of Additively Manufactured Polymers for Extreme Industrial Environments

Materials Science

Despite its accessibility and geometric versatility, polymer additive manufacturing remains limited in industrial use due to the inherent structural and chemical vulnerabilities of polymers.…

Low-Cost Wearable System Using Inertial and Pressure Sensors With Machine Learning for Posture Monitoring and Pressure Injury Prevention

Embedded Systems

Pressure injuries are a serious health problem caused by staying in the same position for long periods. They reduce blood flow to tissues and are difficult and expensive to treat. In hospita…

Low Dimensional Neural Ode Representations of Multi-Dose Pharmacokinetics

Computational Biology and Bioinformatics (inferred)

Pharmacokinetic (PK) modeling plays a crucial role in developing and optimizing drug therapies, enabling the prediction of drug concentration in the plasma over time and thus informing dosag…

Lower Limb Exoskeleton With Multimodal Physiological Signal Sensing and Hybrid Drive Mechanism

Applied Mechanics (Senior Division)

This project addresses the high incidence of lower back and lower limb injuries among firefighters and workers during heavy-load rescue operations. In this paper, a novel lower-limb exoskele…

Low-Power Hybrid Analog-Digital Processor for AI Operations

Electronics & Electromagnetics (Senior Division) Honorable_mention Award

Neural Networks are intensive, requiring large numbers of Multiplier-Accumulate (MAC) operations, leading to high energy usage for common digital processors. Especially with the growing use…

Lunar Smart Adaptive Habitat Design With AI Psychological Monitoring for Crew Adaptive Positive Mental Health

Behavioral and Social Sciences

Mental health affects all aspects of life, it's a significant factor that if overlooked could cost lives and mission success particularly in space exploration. Mental health is a critical fa…

Lyso-PCTP: A Reengineered Lipid Biosensor for Early PDAC Diagnosis and Monitoring

Translational Medical Science

Pancreatic ductal adenocarcinoma (PDAC) ranks 10th in US cancer incidence, yet it causes more deaths per year than breast cancer, ranked 1st, a disparity largely driven by complications rega…

Machine Learning Approaches to Brain Connectivity in Autism

Computational Biology and Bioinformatics

Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting many areas of life. Resting-state functional MRI (rs-fMRI) measures functional connectivity between brain regions a…

Machine Learning Approaches to Predict Infection Risk in Multiple Myeloma Patients Receiving Bispecific Antibody Therapy

Translational Medical Science

Background: Treatment of Multiple Myeloma (MM) with bispecific antibodies (bsAb) results in an increased risk of infection, and predicting this risk is a significant unmet need. Aim: Develop…

Machine Learning Based Diagnostic Utility for Predicting Ertapenem Resistance in K.pneumoniae Using MALDI-TOF MS Spectra

Microbiology (Senior Division)

Klebsiella pneumoniae is a gram-negative bacterium responsible for over 600,000 deaths annually worldwide, a number that rivals HIV/AIDS (630,000 deaths, UNAIDS 2024), exceeds malaria (610,0…

Machine Learning Biomarker Discovery and AI-Based Protein Design for Low-Cost Oral Cancer Screening

Cellular and Molecular Biology Fourth Award

Oral squamous cell carcinoma (OSCC) accounts for over 90% of oral cancers, with 5-year survival rates below 60% due to late-stage diagnosis. Current diagnostic approaches rely on invasive su…

Machine Learning–Driven Design and Experimental Validation of Peptide-Based Mixed- Metal Organic Frameworks (MOFs) for Predictive Membrane Disruption in Targeted Immunotherapeutic Applications

Materials Science

Metal-organic frameworks (MOFs) are highly tunable nanomaterials with potential in targeted immunotherapy and biological interfaces; however, the vast number of possible metal frameworks lim…

CYSF · 2026

Machine-Learning Enhanced Orbit Propagation: Improving Low Earth Orbit Prediction Using TLE And GPS Data

Gold Medal

The main objective of this innovative project is to determine whether a supervised machine-learning correction model can reduce multi-day orbit propagation prediction error compared to the s…

Machine Learning for Coral Bleaching Diagnosis and Forecasting Using Images and Environmental Data

Earth and Environmental Sciences Fourth Award

Known as the “rainforests of the sea” coral reefs support over 1 billion people. Yet the rising ocean temperatures have driven increasingly frequent coral bleaching events, threatening reefs…

Machine Learning for Voice-Based Assessment of Parkinson's Disease

Translational Medical Science

Abstract Parkinson's disease often affects voice and speech years before motor symptoms become clinically evident, and clinical diagnosis can take years to confirm. Machine learning applied…

Machine Learning Guided and Accelerated Development of Semiconductor Photothermal Materials Using Doping Strategy to Modify Bandgap for Enhancing Solar Water Evaporation

Energy: Sustainable Materials and Design Second Award

Solar water evaporation (SWE) outstands as a promising method to solve the global freshwater shortage due to its lower cost, green and sustainable. Semiconductors photothermal materials (SPM…

Machine Learning Model for Early Identification of Vocal Patterns Associated With Glottic Carcinoma Risk by Analysis of Voice Biomarkers and Life Habits

Translational Medical Science

The purpose of this investigation was to develop a machine learning model capable of predicting early vocal patterns associated with glottic carcinoma risk using acoustic biomarkers and life…

CWSF · 2026

Machine Learning Prediction of SSRI Response Using fMRI Connectivity

Disease & Illness Bronze Medal

When someone is depressed, doctors prescribe antidepressant medication, but it only works for about half of patients, meaning the other half can wait months on ineffective treatment. We deve…