Majid Farhadloo

According to our database, Majid Farhadloo authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories.

Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar

CoRR, June, 2025

Towards Physics-Guided Foundation Models.

Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar

CoRR, February, 2025

Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning.

Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Shashi Shekhar

CoRR, February, 2025

Discovering Super-Colocation Patterns: A Summary of Results.

Shuai An, Shesha Sai Kumar Reddy Sadu, Arun Sharma, Majid Farhadloo, Shashi Shekhar

Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025

Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data.

Majid Farhadloo, Arun Sharma, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Geo-lucid Conditional Diffusion Models for High Physical Fidelity Trajectory Generation.

Mingzhou Yang, Arun Sharma, Majid Farhadloo, Bharat Jayaprakash, Shashi Shekhar

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Towards Surrogate Models with Hybrid Spatial Neural Networks: A Summary of Results.

Shengya Zhang, Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Yao Zhang, Mu Hong, Licheng Liu, David J. Mulla, Shashi Shekhar

Proceedings of the 8th ACM SIGSPATIAL International Workshop on Geospatial Simulation, 2025

Towards Physics-guided Generative Foundation Models.

Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Generative and Agentic AI for Multi-Modality Space-Time Intelligence, 2025

Towards Physics-informed Diffusion for Anomaly Detection in Trajectories: A Summary of Results.

Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection, 2025

2024

Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision.

Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic

ACM Trans. Spatial Algorithms Syst., September, 2024

Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data.

Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.

Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data.

Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data.

Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao

Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2022

Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach.

Arun Sharma, Majid Farhadloo, Yan Li, Jayant Gupta, Aditya Kulkarni, Shashi Shekhar

Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022

2021

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification.

Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich

CoRR, 2021

Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results.

Arun Sharma, Xun Tang, Jayant Gupta, Majid Farhadloo, Shashi Shekhar

Proceedings of the 11th International Conference on Geographic Information Science, 2021

2020

Grape detection with convolutional neural networks.

Hubert Cecotti, Agustin Rivera, Majid Farhadloo, Miguel A. Pedroza

Expert Syst. Appl., 2020