S. Mostafa Mousavi

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings. CoRR Hanjing Wang, S. Mostafa Mousavi, Patrick Robertson, Richard M. Allen, Alexie Barski, Robert Bosch, Nivetha Thiruverahan, Youngmin Cho, Tajinder Gadh, Steve Malkos, Boone Spooner, Greg Wimpey, Marc Stogaitis
2026	J	`jnl`	TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology. CoRR Feng Liu, Jian Xu, Xin Cui, Xinghao Wang, Zijie Guo, Jiong Wang, S. Mostafa Mousavi, Xinyu Gu, Hao Chen, Ben Fei, Lihua Fang, Fenghua Ling, Zefeng Li, Lei Bai
2025	J	`jnl`	TwoStream-EQT: A microseismic phase picking model combining time and frequency domain inputs. Comput. Geosci. Ling Peng, Lei Li, S. Mostafa Mousavi, Xiaobao Zeng, Gregory C. Beroza
2024	J	`jnl`	Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts. CoRR S. Mostafa Mousavi, Marc Stogaitis, Tajinder Gadh, Richard M. Allen, Alexei Barski, Robert Bosch, Patrick Robertson, Nivetha Thiruverahan, Youngmin Cho
2023	J	`jnl`	IPIML: A Deep-Scan Earthquake Detection and Location Workflow Integrating Pair-Input Deep Learning Model and Migration Location Method. IEEE Trans. Geosci. Remote. Sens. Hamzeh Mohammadigheymasi, Peidong Shi, Nasrin Tavakolizadeh, Zhuowei Xiao, S. Mostafa Mousavi, Luis Matias, Mehran Pourvahab, Rui Fernandes
2022	J	`jnl`	A review of Earth Artificial Intelligence. Comput. Geosci. Ziheng Sun, Laura Sandoval, Robert Crystal-Ornelas, S. Mostafa Mousavi, Jinbo Wang, Cindy Lin, Nicoleta Cristea, Daniel Q. Tong, Wendy Hawley Carande, Xiaogang Ma, Yuhan Rao, James A. Bednar, Amanda Tan, Jianwu Wang, Sanjay Purushotham, Thomas E. Gill, Julien Chastang, Daniel Howard, Benjamin Holt, Chandana Gangodagamage, Peisheng Zhao, Zachary Chester, Javier Orduz, Aji John
2020	J	`jnl`	Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations. IEEE Trans. Geosci. Remote. Sens. S. Mostafa Mousavi, Gregory C. Beroza
2019	J	`jnl`	A Machine-Learning Approach for Earthquake Magnitude Estimation. CoRR S. Mostafa Mousavi, Gregory C. Beroza
2019	J	`jnl`	Bayesian-Deep-Learning Estimation of Earthquake Location from Single-Station Observations. CoRR S. Mostafa Mousavi, Gregory C. Beroza
2019	J	`jnl`	STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI. IEEE Access S. Mostafa Mousavi, Yixiao Sheng, Weiqiang Zhu, Gregory C. Beroza
2019	J	`jnl`	Seismic Signal Denoising and Decomposition Using Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. Weiqiang Zhu, S. Mostafa Mousavi, Gregory C. Beroza
2019	J	`jnl`	Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders. IEEE Geosci. Remote. Sens. Lett. S. Mostafa Mousavi, Weiqiang Zhu, William Ellsworth, Gregory C. Beroza
2018	J	`jnl`	CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection. CoRR S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng, Gregory C. Beroza

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.