Project Proposals by University of Alabama in 2026

The University of Alabama is a public research university in Tuscaloosa, Alabama. Established in 1820, the University of Alabama is the oldest and largest of the public universities in Alabama as well as the flagship of the University of Alabama System

Project List

• Event Classification With Masked Transformer Autoencoders

• Super resolution at the CMS detector

• Agentic AI for High Energy Physics Analyses at the CMS Detector

• Agentic AI for Autonomous Gravitational Lensing Simulation Workflows

• Hybrid Quantum-Classical Representation Learning for Dark Matter Substructure Classification

• Neural Operators for Fast Simulation of Strong Gravitational Lensing

• Foundation Model for Gravitational Lensing

• Physics Guided Machine Learning on Real Lensing Images

• Gravitational Lens Finding

• Data Processing Pipeline for the LSST

• Physics-Informed Diffusion Models for Gravitational Lensing Simulation

• Unsupervised Super-Resolution and Analysis of Real Lensing Images

• Super resolution at the CMS detector

• End-to-End event classification with sparse neural networks

• Diffusion models for fast and accurate simulations of low level CMS experiment data.

• Deep Learning Inference for mass regression

• Linear attention vision transformers for end to end mass regression and classification

• End-to-End particle collision track reconstruction

• Foundation models for End-to-End event reconstruction

• Discovery of hidden symmetries and conservation laws

• Graph Representation Learning for Fast Detector Simulation

• Graph Transformers for Fast Detector Simulation

• Optimal Transport in High Energy Physics

• Deep Graph anomaly detection with contrastive learning for new physics searches

• Learning Parametrization with Implicit Neural Representations

• Learning the Latent Structure with Diffusion Models

• Non-local GNNs for Jet Classification

• Physics-Informed Neural Network Diffusion Equation (PINNDE)

• Physics-Informed Neural Network Diffusion Equation (PINNDE)

• Symbolic Regression for Observable Event-Level Reweighting

• Jet Observable Library for Monte Carlo Validation

• ML-Based Simulation Bias Analysis - Pythia vs Herwig vs Data

• Agentic Exclusion Limit Extraction

• Agentic Lagrangian Extraction from the Literature

• Agentic AI for High Energy Physics Data Quality Monitoring

• Brain-to-Brain Decoder - Validating Neural Synchrony Patterns in Human Conversation

• Building and Comparing Segmentation Strategies for Coronary Artery Calcium (CAC)

• Radiomics Feature Extraction and Calcium Phenotype Discovery

• Data Augmentation Using Physics-Informed Plaque Growth Simulation

• Implementation of Quantum Generative Adversarial Networks to Perform High Energy Physics Analysis at the LHC

• Quantum Kolmogorov-Arnold Networks for High Energy Physics Analysis at the LHC

• Quantum Foundation Model for High Energy Physics

• Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC

• Equivariant quantum neural networks for High Energy Physics Analysis at the LHC

• Quantum transformer for High Energy Physics Analysis at the LHC

• Learning quantum representations of classical high energy physics data with contrastive learning

• Quantum Particle transformer for High Energy Physics Analysis at the LHC

• Q-MAML - Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms for High Energy Physics Analysis at the LHC

• Quantum Diffusion Model for High Energy Physics

• Physics-informed neural network shape optimization

• Physics-Informed Encoding and Decoding for Squared Amplitude Calculation

• Physics-Informed Models for Squared Amplitude Calculation

• Foundation Models for Squared Amplitude Calculation

• Titans for Squared Amplitude Calculation

• LM-JEPA for Squared Amplitude Calculation

• Using Next-Gen Transformers to Seed Generative Models for Symbolic Regression

• LM-JEPA for Symbolic Regression

• Semi-supervised Symmetry Discovery