Behnaz Ranjbar

20 papers A* 1A 4C 2Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GNN-MiCS: Graph Neural-Network-Based Bounding Time in Embedded Mixed-Criticality Systems. IEEE Embed. Syst. Lett. Behnaz Ranjbar, Paul Justen, Akash Kumar
2024	J	`jnl`	ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design. IEEE Access Vikash Kumar, Behnaz Ranjbar, Akash Kumar
2024	A	`conf`	Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems. DATE Vikash Kumar, Behnaz Ranjbar, Akash Kumar
2024	J	`jnl`	Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures. IEEE Access Vikash Kumar, Behnaz Ranjbar, Akash Kumar
2023	A*	`conf`	ADAPTIVE: Agent-Based Learning for Bounding Time in Mixed-Criticality Systems. DAC Behnaz Ranjbar, Ali Hosseinghorban, Akash Kumar
2023	A	`conf`	Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. DATE Behnaz Ranjbar, Florian Klemme, Paul R. Genssler, Hussam Amrouch, Jinhyo Jung, Shail Dave, Hwisoo So, Kyongwoo Lee, Aviral Shrivastava, Ji-Yung Lin, Pieter Weckx, Subrat Mishra, Francky Catthoor, Dwaipayan Biswas, Akash Kumar
2023	A	`conf`	Motivating Agent-Based Learning for Bounding Time in Mixed-Criticality Systems. DATE Behnaz Ranjbar, Ali Hosseinghorban, Akash Kumar
2022	C	`conf`	A Hybrid Scheduling Mechanism for Multi-programming in Mixed-Criticality Systems. DSD Mohammad Bawatna, Behnaz Ranjbar, Akash Kumar
2022	J	`jnl`	BOT-MICS: Bounding Time Using Analytics in Mixed-Criticality Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Behnaz Ranjbar, Ali Hosseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar
2022	J	`jnl`	Learning-Oriented QoS- and Drop-Aware Task Scheduling for Mixed-Criticality Systems. Comput. Behnaz Ranjbar, Hamidreza Alikhani, Bardia Safaei, Alireza Ejlali, Akash Kumar
2022	J	`jnl`	PVMC: Task Mapping and Scheduling Under Process Variation Heterogeneity in Mixed-Criticality Systems. IEEE Trans. Emerg. Top. Comput. Fahimeh Bahrami, Behnaz Ranjbar, Nezam Rohbani, Alireza Ejlali
2022	J	`jnl`	Peak-Power Aware Life-Time Reliability Improvement in Fault-Tolerant Mixed-Criticality Systems. IEEE Open J. Circuits Syst. Mozhgan Navardi, Behnaz Ranjbar, Nezam Rohbani, Alireza Ejlali, Akash Kumar
2022	—	`—`	Quality-of-Service Aware Design and Management of Embedded Mixed-Criticality Systems. Behnaz Ranjbar
2022	J	`jnl`	Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Behnaz Ranjbar, Ali Hosseinghorban, Mohammad Salehi, Alireza Ejlali, Akash Kumar
2021	A	`conf`	Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem. DATE Behnaz Ranjbar, Ali Hoseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar
2021	J	`jnl`	Power-Aware Runtime Scheduler for Mixed-Criticality Systems on Multicore Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar
2021	J	`jnl`	Toward the Design of Fault-Tolerance- and Peak- Power-Aware Multi-Core Mixed-Criticality Systems. CoRR Behnaz Ranjbar, Ali Hoseinghorban, Mohammad Salehi, Alireza Ejlali, Akash Kumar
2020	J	`jnl`	FANTOM: Fault Tolerant Task-Drop Aware Scheduling for Mixed-Criticality Systems. IEEE Access Behnaz Ranjbar, Bardia Safaei, Alireza Ejlali, Akash Kumar
2020	J	`jnl`	Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform. CoRR Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar
2019	C	`conf`	Online Peak Power and Maximum Temperature Management in Multi-core Mixed-Criticality Embedded Systems. DSD Behnaz Ranjbar, Tuan D. A. Nguyen, Alireza Ejlali, Akash Kumar

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.