Eliran Sherzer

20 papers Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Learning-Based Superposition Operator for Non-Renewal Arrival Processes in Queueing Networks. CoRR Eliran Sherzer
2026	J	`jnl`	Corrigendum to "Approximating G(t)/GI/1 queues with deep learning" [European Journal of Operational Research, Volume 322, Issue 3, 1 May 2025, Pages 889-907]. Eur. J. Oper. Res. Eliran Sherzer, Opher Baron, Dmitry Krass, Yehezkel Resheff
2026	J	`jnl`	Supervised Learning for the (s,S) Inventory Model with General Interarrival Demands and General Lead Times. CoRR Eliran Sherzer, Yonit Barron
2025	J	`jnl`	Analyzing homogenous and heterogeneous multi-server queues via neural networks. CoRR Eliran Sherzer
2025	J	`jnl`	Approximating G(t)/GI/1 queues with deep learning. Eur. J. Oper. Res. Eliran Sherzer, Opher Baron, Dmitry Krass, Yehezkel Resheff
2025	J	`jnl`	Computing the steady-state probabilities of the number of customers in the system of a tandem queueing system, a Machine Learning approach. Eur. J. Oper. Res. Eliran Sherzer
2025	J	`jnl`	Learning policies for resource allocation in business processes. Inf. Syst. Jeroen Middelhuis, Riccardo Lo Bianco, Eliran Sherzer, Zaharah Allah Bukhsh, Ivo Adan, Remco M. Dijkman
2025	J	`jnl`	Re-direction in queueing networks with two customer types: The inter-departure analysis. Comput. Oper. Res. Opher Baron, Oded Berman, Dmitry Krass, Eliran Sherzer
2024	J	`jnl`	Approximating G(t)/GI/1 queues with deep learning. CoRR Eliran Sherzer, Opher Baron, Dmitry Krass, Yehezkel Resheff
2024	J	`jnl`	Supervised ML for Solving the INFORMS J. Comput. Opher Baron, Dmitry Krass, Arik Senderovich, Eliran Sherzer
2023	J	`jnl`	Learning policies for resource allocation in business processes. CoRR Jeroen Middelhuis, Riccardo Lo Bianco, Eliran Sherzer, Zaharah Allah Bukhsh, Ivo J. B. F. Adan, Remco M. Dijkman
2022	Misc	`conf`	Can Machines Solve General Queueing Problems? WSC Opher Baron, Dmitry Krass, Eliran Sherzer, Arik Senderovich
2022	J	`jnl`	Can machines solve general queueing systems? CoRR Eliran Sherzer, Arik Senderovich, Opher Baron, Dmitry Krass
2020	—	`conf`	Deployment Planning in Vehicular Supported Cellular Networks. VALUETOOLS Nadav Lavi, Eliran Sherzer, Hanoch Levy
2020	J	`jnl`	Resource allocation in the cloud with unreliable resources. Perform. Evaluation Eliran Sherzer, Hanoch Levy
2018	J	`jnl`	Customers' abandonment strategy in an M / G / 1 queue. Queueing Syst. Theory Appl. Eliran Sherzer, Yoav Kerner
2017	J	`jnl`	On non-equilibria threshold strategies in ticket queues. Queueing Syst. Theory Appl. Yoav Kerner, Eliran Sherzer, Mor Ann Yanco
2017	—	`conf`	Resource allocation in a cloud under virus attacks. VALUETOOLS Eliran Sherzer, Gail Gilboa-Freedman, Hanoch Levy
2017	J	`jnl`	When to arrive at a queue with earliness, tardiness and waiting costs. CoRR Eliran Sherzer, Yoav Kerner
2017	J	`jnl`	When to arrive at a queue with earliness, tardiness and waiting costs. Perform. Evaluation Eliran Sherzer, Yoav Kerner

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.