Learning Traffic Flow Dynamics Using Random Fields. - Saif Eddin G. Jabari; Deepthi Mary Dilip; DianChao Lin; Bilal Thonnam Thodi (IEEE Access, 2019)

Traffic Data Imputation Using Deep Convolutional Neural Networks. - Ouafa Benkraouda; Bilal Thonnam Thodi; Hwasoo Yeo; Mónica Menéndez; Saif Eddin Jabari (IEEE Access, 2020)

Noticeability Versus Impact in Traffic Signal Tampering. - Bilal Thonnam Thodi; Timothy Mulumba; Saif Eddin Jabari (IEEE Access, 2020)

Learning Traffic Speed Dynamics from Visualizations. - Bilal Thonnam Thodi; Zaid Saeed Khan; Saif Eddin Jabari; Mónica Menéndez (ITSC, 2021)

Generalized Adaptive Smoothing Using Matrix Completion for Traffic State Estimation. - Chuhan Yang; Bilal Thonnam Thodi; Saif Eddin Jabari (ITSC, 2022)

An analytical approach to real-time bus signal priority system for isolated intersections. - Bilal Thonnam Thodi; Bhargava Rama Chilukuri; Lelitha Vanajakshi (J. Intell. Transp. Syst., 2022)

Incorporating Kinematic Wave Theory Into a Deep Learning Method for High-Resolution Traffic Speed Estimation. - Bilal Thonnam Thodi; Zaid Saeed Khan; Saif Eddin Jabari; Mónica Menéndez (IEEE Trans. Intell. Transp. Syst., 2022)

Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors. - Bilal Thonnam Thodi; Sai Venkata Ramana Ambadipudi; Saif Eddin Jabari (CoRR, 2023)

Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems. - Bilal Thonnam Thodi; Sai Venkata Ramana Ambadipudi; Saif Eddin Jabari (CoRR, 2023)