activity
20232026
collaborators

11 papers

physics.geo-ph2026

ANADEF: A Nested-Permutation Alarm for Dual-Parameter Earthquake Forecasting

Hamzeh Mohammadigheymasi, Muhammed Hossein Mousavi, Nuno Pombo

Spatially resolved stress proxies and rate-based seismicity models are increasingly combined for regional earthquake forecasting, yet formally testing their non-redundancy remains…

physics.geo-ph2026

The 2016 Mw 7.0 Kumamoto Earthquake Sequence, Japan revisited: Insights from Spatio-Temporal Analysis of Seismicity Parameters

Hamzeh Mohammadigheymasi, Muhammed Hossein Mousavi, Marjan Tourani +1

Understanding how crustal faults accumulate strain, nucleate ruptures, and redistribute post-seismic stress is fundamental to seismic hazard assessment. The 16 April 2016 7.0…

physics.geo-ph2026

Cross-Sectional and Spatio-Temporal Analysis of Seismicity Parameters in the Zagros Orogenic Belt: Insights into Crustal Stress Distribution and Seismic Hazard

Muhammed Hossein Mousavi, Marjan Tourani, Amir Talebi +2

The Zagros Orogenic Belt, formed by the Arabian-Eurasia collision, is a highly active collision zone hosting a large portion of Iran's seismicity. In this study, the IRSC catalog (…

physics.geo-ph2026

Joint Analysis of Shannon and Tsallis Entropy and GRACE-FO driven Equivalent Water Height Anomalies for Pre- and Post-Rupture Monitoring: An Example of the 2023 Mw = 7.8 Kahramanmaraş Earthquake, Türkiye

Muhammed Hossein Mousavi, Hamzeh Mohammadigheymasi, Amirreza Moradi

In order to understand the variations in fault systems throughout the seismogenic cycle, mechanical states and the complexities of seismic interactions must be considered. In this…

physics.geo-ph2026

Integrating b-Value and Background Seismicity Rate for Spatial Earthquake Forecasting in the Alborz Region, Northern Iran

Muhammed Hossein Mousavi, Hamzeh Mohammadigheymasi, Parva Sadeghi Alavijeh +1

In this study, we evaluate the spatial forecasting skill of the -value and background seismicity rate across the Alborz region using a homogenized catalog of 23,961 earthqua…

physics.geo-ph2026

Seismic Depth Imaging of the 2024 Noto Earthquake (M7.6) Rupture Area

Hamzeh Mohammadigheymasi, Jin-Oh Park

On January 1, 2024, a moment magnitude (Mw) 7.6 earthquake struck the Noto Peninsula, Japan, causing intense ground shaking and triggering a tsunami along the Japan Sea coast. Prel…

physics.geo-ph2026

Crustal Structure Imaging of Ghana from Single-Station Ambient Noise Autocorrelations and Earthquake Arrival Time Inversion

Hamzeh Mohammadigheymasi, Courage K. Letsa, Nasrin Tavakolizadeh +5

The crustal architecture of southern Ghana remains inadequately resolved despite its tectonic significance and resource potential. Existing geological and geophysical studies provi…

physics.geo-ph2025

Earthquake body wave extraction using sparsity-promoting polarization filtering in the time-frequency domain

Hamzeh Mohammadigheymasi, Bahare Imanibadrbani, Ali Gholami +1

Seismic waves generated by earthquakes consist of multiple phases that carry critical information about Earth's internal structure as they propagate through heterogeneous media. Th…

quant-ph2025

Enhancement of Quantum Semi-Supervised Learning via Improved Laplacian and Poisson Methods

Hamed Gholipour, Farid Bozorgnia, Hamzeh Mohammadigheymasi +5

This paper develops a hybrid quantum approach for graph-based semi-supervised learning to enhance performance in scenarios where labeled data is scarce. We introduce two enhanced q…

cs.LG2024

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning

Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde +5

Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. Thi…

cs.NE2023

A Cluster-Based Opposition Differential Evolution Algorithm Boosted by a Local Search for ECG Signal Classification

Mehran Pourvahab, Seyed Jalaleddin Mousavirad, Virginie Felizardo +6

Electrocardiogram (ECG) signals, which capture the heart's electrical activity, are used to diagnose and monitor cardiac problems. The accurate classification of ECG signals, parti…