Ehsan Saeedizade

12 papers B 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Benchmarking Machine Learning Models for IoT Malware Detection under Data Scarcity and Drift. CCNC Jake Lyon, Ehsan Saeedizade, Shamik Sengupta
2026	J	`jnl`	Benchmarking Machine Learning Models for IoT Malware Detection under Data Scarcity and Drift. CoRR Jake Lyon, Ehsan Saeedizade, Shamik Sengupta
2026	—	`conf`	Lightweight IoT Device Fingerprinting Approach using Locality-Sensitive Hashing. CCNC Roya Taheri, Ehsan Saeedizade, Shamik Sengupta
2025	—	`conf`	Federated Learning-Based Anomaly Detection Approach for High-Performance Research Networks. MILCOM Ehsan Saeedizade, Shamik Sengupta, Jay Thom
2025	J	`jnl`	Scientific workflow scheduling algorithms in cloud environments: a comprehensive taxonomy, survey, and future directions. J. Sched. Ehsan Saeedizade, Mehrdad Ashtiani
2023	J	`jnl`	A Package-Aware Approach for Function Scheduling in Serverless Computing Environments. J. Grid Comput. Faeze Azimi Chetabi, Mehrdad Ashtiani, Ehsan Saeedizade
2023	B	`conf`	Demystifying the Performance of Data Transfers in High-Performance Research Networks. e-Science Ehsan Saeedizade, Bing Zhang, Engin Arslan
2023	J	`jnl`	Demystifying the Performance of Data Transfers in High-Performance Research Networks. CoRR Ehsan Saeedizade, Bing Zhang, Engin Arslan
2023	B	`conf`	I/O Burst Prediction for HPC Clusters Using Darshan Logs. e-Science Ehsan Saeedizade, Roya Taheri, Engin Arslan
2023	J	`jnl`	I/O Burst Prediction for HPC Clusters using Darshan Logs. CoRR Ehsan Saeedizade, Roya Taheri, Engin Arslan
2022	J	`jnl`	Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks. CoRR Mohammad Amin Haghpanah, Ehsan Saeedizade, Mehdi Tale Masouleh, Ahmad Kalhor
2021	J	`jnl`	DDBWS: a dynamic deadline and budget-aware workflow scheduling algorithm in workflow-as-a-service environments. J. Supercomput. Ehsan Saeedizade, Mehrdad Ashtiani

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.