Omar Faruque

According to our database, Omar Faruque authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets.

Bayu Adhi Tama, Mansa Krishna, Homayra Alam, Mostafa Cham, Omar Faruque, Gong Cheng, Jianwu Wang, Mathieu Morlighem, Vandana Pursnani Janeja

CoRR, May, 2025

2024

Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods.

Sahara Ali, Uzma Hasan, Xingyan Li, Omar Faruque, Akila Sampath, Yiyi Huang, Md. Osman Gani, Jianwu Wang

CoRR, 2024

TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data.

Omar Faruque, Sahara Ali, Xue Zheng, Jianwu Wang

CoRR, 2024

Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference.

Sahara Ali, Omar Faruque, Jianwu Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

gWaveNet: Classification of Gravity Waves from Noisy Satellite Data Using Custom Kernel Integrated Deep Learning Method.

Seraj Al Mahmud Mostafa, Omar Faruque, Chenxi Wang, Jia Yue, Sanjay Purushotham, Jianwu Wang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Physics-Informed Machine Learning for Sea Ice Thickness Prediction.

Akila Sampath, Omar Faruque, Azim Khan, Vandana P. Janeja, Jianwu Wang

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data.

Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang

Proceedings of the IEEE International Conference on Big Data, 2024

Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data.

Omar Faruque, Xingyan Li, Md. Azim Khan, Homayra Alam, Jianwu Wang

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference.

Sahara Ali, Omar Faruque, Jianwu Wang

CoRR, 2023

Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data.

Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography.

Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang

Proceedings of the International Conference on Machine Learning and Applications, 2023

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference.

Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Face Recognition-Based Mass Attendance Using YOLOv5 and ArcFace.

Omar Faruque, Fazlul Hasan Siddiqui, Sabah Binte Noor

Proceedings of the Machine Intelligence and Emerging Technologies, 2022