Saed Moradi - RankMe

20 papers Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space. Big Data Cogn. Comput. Mohammad Hadi Sepanj, Benyamin Ghojogh, Saed Moradi, Paul W. Fieguth
2025	J	`jnl`	A True Global Contrast Method for IR Small Target Detection Under Complex Background. IEEE Trans. Geosci. Remote. Sens. Jinhui Han, Saed Moradi, Bo Zhou, Wei Wang, Qian Zhao, Zhen Luo
2025	J	`jnl`	Externally Validated Multi-Task Learning via Consistency Regularization Using Differentiable BI-RADS Features for Breast Ultrasound Tumor Segmentation. CoRR Jingru Zhang, Saed Moradi, Ashirbani Saha
2025	J	`jnl`	Patch-Based Optimization for Noise-Robust Reconstruction of Specular Surfaces. IEEE Access Saed Moradi, Mohammad Hadi Sepanj, Amir Nazemi, Claire Preston, Anthony M. D. Lee, Paul W. Fieguth
2025	J	`jnl`	Uncertainty-Aware δ-GLMB Filtering for Multi-Target Tracking. Big Data Cogn. Comput. Mohammad Hadi Sepanj, Saed Moradi, Zohreh Azimifar, Paul W. Fieguth
2024	J	`jnl`	Infrared Image Enhancement Based on Optimally Weighted Multi-Scale Laplacian of Gaussian and Local Statistics Using Particle Swarm Optimization. Int. J. Image Graph. Saed Moradi, Jahed Moradi, Saeid Aghaziyarati, Hadi Shahraki
2023	J	`jnl`	A noise-robust method for infrared small target detection. Signal Image Video Process. Hadi Shahraki, Saed Moradi, Shokoufeh Aalaei
2023	J	`jnl`	Assessing the applicability of common performance metrics for real-world infrared small-target detection. CoRR Saed Moradi, Alireza Memarmoghadam, Payman Moallem, Mohamad Farzan Sabahi
2023	J	`jnl`	Sensing and Processing for Infrared Vision: Methods and Applications. Sensors Saed Moradi
2022	J	`jnl`	A Ratio-Difference Local Feature Contrast Method for Infrared Small Target Detection. IEEE Geosci. Remote. Sens. Lett. Jinhui Han, Qiuyue Xu, Saed Moradi, Houzhang Fang, Xuye Yuan, Zhimeng Qi, Jinyao Wan
2022	J	`jnl`	Fast, Accurate and Object Boundary-Aware Surface Normal Estimation from Depth Maps. CoRR Saed Moradi, Alireza Memarmoghadam, Denis Laurendeau
2022	J	`jnl`	Infrared target detection based on the single-window average absolute gray difference algorithm. Signal Image Video Process. Hadi Shahraki, Saed Moradi, Shokoufeh Aalaei
2021	J	`jnl`	Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure. IEEE Geosci. Remote. Sens. Lett. Jinhui Han, Saed Moradi, Iman Faramarzi, Honghui Zhang, Qian Zhao, Xiaojian Zhang, Nan Li
2021	J	`jnl`	Multiple Cylinder Extraction from Organized Point Clouds. Sensors Saed Moradi, Denis Laurendeau, Clément Gosselin
2021	J	`jnl`	Small infrared target detection using minimum variation direction interpolation. Digit. Signal Process. Masoud Yavari, Payman Moallem, Mohammad Kazemi, Saed Moradi
2020	J	`jnl`	A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window. IEEE Geosci. Remote. Sens. Lett. Jinhui Han, Saed Moradi, Iman Faramarzi, Chengyin Liu, Honghui Zhang, Qian Zhao
2020	J	`jnl`	Fast and robust small infrared target detection using absolute directional mean difference algorithm. Signal Process. Saed Moradi, Payman Moallem, Mohamad Farzan Sabahi
2018	J	`jnl`	Small Infrared Target Detection Using Absolute Directional Mean Difference Algorithm. CoRR Saed Moradi, Payman Moallem, Mohamad Farzan Sabahi
2016	J	`jnl`	An Investigation on the Effects of Subnet Extension on Delay and Throughput in Network-on-Chip. J. Circuits Syst. Comput. Mostafa Haghi, Abdolrasoul Ghasemi, Saed Moradi
2014	—	`conf`	A new method for detecting variable-size infrared targets. ICDIP Parviz Khaledian, Saed Moradi, Ehdieh Khaledian

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.