Samaneh Hosseini Semnani

18 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robot motion planning using predictive trajectory of moving obstacles. Intell. Serv. Robotics Melika Rezvani, Samaneh Hosseini Semnani
2023	J	`jnl`	Distributed swarm collision avoidance based on angular calculations. Auton. Robots SeyedZahir Qazavi, Samaneh Hosseini Semnani
2023	J	`jnl`	Optimized Deep Feature Selection for Pneumonia Detection: A Novel RegNet and XOR-Based PSO Approach. CoRR Fatemehsadat Ghanadi Ladani, Samaneh Hosseini Semnani
2022	J	`jnl`	Color image segmentation using multi-objective swarm optimizer and multi-level histogram thresholding. Multim. Tools Appl. Mohammadreza Naderi Boldaji, Samaneh Hosseini Semnani
2022	J	`jnl`	Force-Based Algorithm for Motion Planning of Large Agent. IEEE Trans. Cybern. Samaneh Hosseini Semnani, Anton H. J. de Ruiter, Hugh H. T. Liu
2021	J	`jnl`	Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding. CoRR Mohammadreza Naderi Boldaji, Samaneh Hosseini Semnani
2021	J	`jnl`	Distributed Swarm Collision Avoidance Based on Angular Calculations. CoRR SeyedZahir Qazavi, Samaneh Hosseini Semnani
2020	J	`jnl`	Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How
2020	J	`jnl`	Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. CoRR Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton H. J. de Ruiter, Jonathan P. How
2019	J	`jnl`	Force-based Algorithm for Motion Planning of Large Agent Teams. CoRR Samaneh Hosseini Semnani, Anton H. J. de Ruiter, Hugh Liu
2017	J	`jnl`	Multi-Target Engagement in Complex Mobile Surveillance Sensor Networks. Unmanned Syst. Samaneh Hosseini Semnani, Otman A. Basir
2016	J	`jnl`	Constrained clustering for flocking-based tracking in maneuvering target environment. Robotics Auton. Syst. Samaneh Hosseini Semnani, Otman A. Basir, Peter van Beek
2015	—	`—`	Distributed Target Engagement in Large-scale Mobile Sensor Networks. Samaneh Hosseini Semnani
2015	J	`jnl`	Semi-Flocking Algorithm for Motion Control of Mobile Sensors in Large-Scale Surveillance Systems. IEEE Trans. Cybern. Samaneh Hosseini Semnani, Otman A. Basir
2013	J	`jnl`	Target to sensor allocation: A hierarchical dynamic Distributed Constraint Optimization approach. Comput. Commun. Samaneh Hosseini Semnani, Otman A. Basir
2012	J	`jnl`	The power of ants in solving Distributed Constraint Satisfaction Problems. Appl. Soft Comput. Samaneh Hosseini Semnani, Kamran Zamanifar
2010	J	`jnl`	New Approach to Multi-Level Processor Scheduling. Int. J. Artif. Intell. Tools Samaneh Hosseini Semnani, Kamran Zamanifar
2009	J	`jnl`	The impact of the conflict on solving distributed constraint satisfaction problems. Comput. Informatics Samaneh Hosseini Semnani, Kamran Zamanifar

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.