Saad Masrur - RankMe

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Energy-Efficient Sleep Mode Optimization in 5G mmWave Networks via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Green Commun. Netw. Saad Masrur, Ismail Güvenç, David López-Pérez
2025	—	`conf`	Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization. ICC Workshops Saad Masrur, Ismail Güvenç
2025	J	`jnl`	Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization. CoRR Saad Masrur, Ismail Güvenç
2025	J	`jnl`	Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks. IEEE Commun. Mag. Anil Gürses, Gautham Reddy, Saad Masrur, Özgür Özdemir, Ismail Güvenç, Mihail L. Sichitiu, Alphan Sahin, Ahmed Alkhateeb, Magreth Mushi, Rudra Dutta
2025	J	`jnl`	Energy Efficient Sleep Mode Optimization in 5G mmWave Networks via Multi Agent Deep Reinforcement Learning. CoRR Saad Masrur, Ismail Güvenç, David López-Pérez
2025	—	`conf`	Impact of Altitude, Bandwidth, and NLOS Bias on TDOA-Based 3D UAV Localization: Experimental Results and CRLB Analysis. ICC Workshops Cole Dickerson, Saad Masrur, Jonah Dickerson, Özgür Özdemir, Ismail Güvenç
2025	—	`conf`	Transformer-Based Resource-Efficient Indoor Localization for 5G/6G NLOS-Rich Environments. ICC Workshops Saad Masrur, Jung-Fu Thomas Cheng, Atieh Rajabi Khamesi, Ismail Güvenç
2025	J	`jnl`	Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors. CoRR Saad Masrur, Jung-Fu Cheng, Atieh Rajabi Khamesi, Ismail Güvenç
2025	J	`jnl`	Wireless Datasets for Aerial Networks. CoRR Amir Hossein Fahim Raouf, Donggu Lee, Mushfiqur Rahman, Saad Masrur, Gautham Reddy, Cole Dickerson, Md. Sharif Hossen, Sergio Vargas Villar, Anil Gürses, Simran Singh, Sung Joon Maeng, Martins Ezuma, Christopher Roberts, Mohamed Rabeek Sarbudeen, Thomas Zajkowski, Magreth Mushi, Özgür Özdemir, Ram Asokan, Ismail Güvenç, Mihail L. Sichitiu, Rudra Dutta
2024	J	`jnl`	Digital Twins for Supporting AI Research with Autonomous Vehicle Networks. CoRR Anil Gürses, Gautham Reddy, Saad Masrur, Özgür Özdemir, Ismail Güvenç, Mihail L. Sichitiu, Alphan Sahin, Ahmed Alkhateeb, Rudra Dutta
2024	—	`conf`	Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB. VTC Fall Saad Masrur, Ismail Güvenç, David López-Pérez
2024	J	`jnl`	Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB. CoRR Saad Masrur, Ismail Güvenç, David López-Pérez
2023	J	`jnl`	Optimal Channel Switching and Randomization Over Flat-Fading Channels for Outage Capacity Maximization. IEEE Commun. Lett. Saad Masrur, Sinan Gezici

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.