Spring 2024
Continued from Fall 2023
Autonomous Vehicles: Comparing Reinforcement Learning, Supervised Learning, Unsupervised Learning to Optimize Route Time.
Autonomous Vehicles: Using Drones to Map the Quickest Route for Emergency Responders in the Wilderness.
Autonomous Vehicles: Using Drones to Access Forest Health by Analyzing the Normalized Difference Vegetation Index (NDVI)
Using Machine Learning to Identify and Classify Different Types of Skin Cancer
Using Particle Collision Data of Muons from CERN to Analyze Jet versus Noise Propagation
Using Self Organizing Maps to Study the Spread of Crop Diseases
Quantum Chemistry: Using QNetGAN to generate feasible organic molecules*
Quantum Chemistry: Using Binding Energies and Geometry to Verify Molecule Candidates*
*These two projects are collaborating on this effort.
Examining the use of Quantum Dots in Creating Effective Cryptographic Key Distribution
Using QNN, QVT. and MMR to Improve Detection of Brain Tumors.
Transfers from Mui Lab
Using Reasoning Agents to Improve the Performance of Generative AI
New Projects
Using Polymers to Create Prosthetics
Using Machine Learning to Improve Game Strategy
Using Machine Learning to Improve Detection of Spinal Injuries, Defects, and Illnesses
Autonomous Vehicles: Using drones to improve the detection and source of air pollution.