vLOFT: Variable Learning Rate for Online Federated Traffic Prediction. - Collin Meese; Danielle Lee; Hang Chen; Mark M. Nejad (ITSC, 2023)

Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning. - Collin Meese; Hang Chen; Wanxin Li; Danielle Lee; Hao Guo 012; Chien-Chung Shen; Mark M. Nejad (IEEE Trans. Intell. Transp. Syst., 2024)

Deep Learning Hybrid Model for Equitable Data Representation: Physics Model Incorporating Ramp Traffic Dynamics & Data-Driven Enhancements. - Danielle Lee; Collin Meese; Kurt Hammen; Mark M. Nejad (MOST, 2025)

T-GANRE: Advanced Deep Learning Models for Synthetic Data Generation for Nonrecurrent Events. - Collin Meese; Danielle Lee; Kurt Hammen; Mark M. Nejad (MOST, 2025)