Cycle-Length Prediction in Actuated Traffic-Signal Control Using ARIMA Model. - Bahman Moghimi; Abolfazl Safikhani; Camille Kamga; Wei Hao 002 (J. Comput. Civ. Eng., 2018)

Predicting Short-Term Uber Demand in New York City Using Spatiotemporal Modeling. - Sabiheh Faghih; Abolfazl Safikhani; Bahman Moghimi; Camille Kamga (J. Comput. Civ. Eng., 2019)

Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models. - Bahman Moghimi; Abolfazl Safikhani; Camille Kamga; Wei Hao 002; Jiaqi Ma 003 (IEEE Trans. Intell. Transp. Syst., 2019)

Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression. - Sabiheh Faghih; Arpita Shah; Zehan Wang 004; Abolfazl Safikhani; Camille Kamga (EUSPN/ICTH, 2020)

Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models. - Peiliang Bai; Abolfazl Safikhani; George Michailidis (IEEE Trans. Signal Process., 2020)

Theoretical analysis of deep neural networks for temporally dependent observations. - Mingliang Ma; Abolfazl Safikhani (NeurIPS, 2022)

Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models. - Abolfazl Safikhani; Yue Bai; George Michailidis (J. Comput. Graph. Stat., 2022)

Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S. - Yue Bai; Abolfazl Safikhani; George Michailidis (IEEE J. Sel. Top. Signal Process., 2022)

A Fast Detection Method of Break Points in Effective Connectivity Networks. - Peiliang Bai; Abolfazl Safikhani; George Michailidis (IEEE Trans. Medical Imaging, 2022)

Machine learning application to spatio-temporal modeling of urban growth. - Yuna Kim; Abolfazl Safikhani; Emre Tepe (Comput. Environ. Urban Syst., 2022)

A General Modeling Framework for Network Autoregressive Processes. - Hang Yin; Abolfazl Safikhani; George Michailidis (Technometrics, 2023)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. - Tianshu Feng; Rohan Gnanaolivu; Abolfazl Safikhani; Yuanhang Liu; Jun Jiang; Nicholas Chia; Alexander Partin; Priyanka Vasanthakumari; Yitan Zhu; Chen Wang (CoRR, 2024)

Transfer Learning for High-dimensional Reduced Rank Time Series Models. - Mingliang Ma; Abolfazl Safikhani (AISTATS, 2025)

Enhancing transparency in land use change modeling: Leveraging eXplainable AI techniques for urban growth prediction with spatially distributed insights. - Zelin Wang; Tianshu Feng; Abolfazl Safikhani; Emre Tepe (Comput. Environ. Urban Syst., 2025)