Machine Learning for Fast and Reliable Source-Location Estimation in Earthquake Early Warning. - Omar M. Saad; Yunfeng Chen; Daniel T. Trugman; M. Sami Soliman; Lotfy Samy; Alexandros Savvaidis; Mohamed Abdelaziz Khamis; Ali G. Hafez; Sergey Fomel; Yangkang Chen (IEEE Geosci. Remote. Sens. Lett., 2022)

Unsupervised Deep Learning for Single-Channel Earthquake Data Denoising and Its Applications in Event Detection and Fully Automatic Location. - Omar M. Saad; Yunfeng Chen; Alexandros Savvaidis; Wei Chen 031; Fangxue Zhang; Yangkang Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

RFloc3D: A Machine-Learning Method for 3-D Microseismic Source Location Using P- and S-Wave Arrivals. - Yangkang Chen; Alexandros Savvaidis; Sergey Fomel; Omar M. Saad; Yunfeng Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

EQCCT: A Production-Ready Earthquake Detection and Phase-Picking Method Using the Compact Convolutional Transformer. - Omar M. Saad; Yunfeng Chen; Daniel Siervo; Fangxue Zhang; Alexandros Savvaidis; Guo-chin Dino Huang; Nadine Igonin; Sergey Fomel; Yangkang Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Learning for P-Wave First-Motion Polarity Determination and Its Application in Focal Mechanism Inversion. - Yangkang Chen; Omar M. Saad; Alexandros Savvaidis; Fangxue Zhang; Yunfeng Chen; Dino Huang; Huijian Li; Farzaneh Aziz Zanjani (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep Learning Peak Ground Acceleration Prediction Using Single-Station Waveforms. - Omar M. Saad; Islam Helmy; Mona Mohammed; Alexandros Savvaidis; Avigyan Chatterjee; Yangkang Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Transfer Learning for Seismic Phase Picking With Significantly Higher Precision in Faraway Seismic Stations. - Omar M. Saad; Alexandros Savvaidis; Yangkang Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep Learning for Seismic Data Compression in Distributed Acoustic Sensing. - Yangkang Chen; Omar M. Saad; Yunfeng Chen; Alexandros Savvaidis (IEEE Trans. Geosci. Remote. Sens., 2025)