Grape detection with convolutional neural networks. - Hubert Cecotti; Agustin Rivera; Majid Farhadloo; Miguel A. Pedroza (Expert Syst. Appl., 2020)

Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results. - Arun Sharma 006; Xun Tang; Jayant Gupta; Majid Farhadloo; Shashi Shekhar 001 (GIScience (I), 2021)

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification. - Majid Farhadloo; Carl Molnar; Gaoxiang Luo; Yan Li 049; Shashi Shekhar 001; Rachel L. Maus; Svetomir N. Markovic; Raymond Moore; Alexey A. Leontovich (CoRR, 2021)

Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. - Arun Sharma 006; Majid Farhadloo; Yan Li 049; Jayant Gupta; Aditya Kulkarni; Shashi Shekhar 001 (AGILE Conf., 2022)

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. - Yan Li 049; Majid Farhadloo; Santhoshi Krishnan; Yiqun Xie; Timothy L. Frankel; Shashi Shekhar 001; Arvind Rao (BigSpatial@SIGSPATIAL, 2022)

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. - Majid Farhadloo; Carl Molnar; Gaoxiang Luo; Yan Li 049; Shashi Shekhar 001; Rachel L. Maus; Svetomir N. Markovic; Alexey A. Leontovich; Raymond Moore (KDD, 2022)

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. - Yan Li 049; Mingzhou Yang 001; Matthew Eagon; Majid Farhadloo; Yiqun Xie; William F. Northrop; Shashi Shekhar 001 (SDM, 2023)

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. - Majid Farhadloo; Arun Sharma 006; Jayant Gupta; Alexey A. Leontovich; Svetomir N. Markovic; Shashi Shekhar 001 (SDM, 2024)

Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision. - Majid Farhadloo; Arun Sharma 006; Shashi Shekhar 001; Svetomir N. Markovic (ACM Trans. Spatial Algorithms Syst., 2024)

Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data. - Majid Farhadloo; Arun Sharma 006; Alexey A. Leontovich; Svetomir N. Markovic; Shashi Shekhar 001 (SDM, 2025)

Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning. - Arun Sharma 006; Majid Farhadloo; Mingzhou Yang 001; Ruolei Zeng; Subhankar Ghosh; Shashi Shekhar 001 (CoRR, 2025)

Towards Physics-Guided Foundation Models. - Majid Farhadloo; Arun Sharma 006; Mingzhou Yang 001; Bharat Jayaprakash; William F. Northrop; Shashi Shekhar 001 (CoRR, 2025)

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories. - Arun Sharma 006; Mingzhou Yang 001; Majid Farhadloo; Subhankar Ghosh; Bharat Jayaprakash; Shashi Shekhar 001 (CoRR, 2025)