Zangir Iklassov

17 papers A* 2C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs. CoRR Omar Choukrani, Idriss Malek, Daniil Orel, Zhuohan Xie, Zangir Iklassov, Martin Takác, Salem Lahlou
2025	—	`conf`	Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. ACL (1) Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Benjamin Heinzerling, Velibor Bojkovic, Hilal AlQuabeh, Martin Takác, Kentaro Inui
2025	J	`jnl`	RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. CoRR Munachiso Nwadike, Zangir Iklassov, Toluwani Aremu, Tatsuya Hiraoka, Velibor Bojkovic, Benjamin Heinzerling, Hilal Alqaubeh, Martin Takác, Kentaro Inui
2025	J	`jnl`	SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem. CoRR Ahmed Heakl, Yahia Salaheldin Shaaban, Martin Takác, Salem Lahlou, Zangir Iklassov
2025	J	`jnl`	The AI Data Scientist. CoRR Farkhad Akimov, Munachiso Nwadike, Zangir Iklassov, Martin Takác
2024	J	`jnl`	A Decade of Deep Learning: A Survey on The Magnificent Seven. CoRR Dilshod Azizov, Muhammad Arslan Manzoor, Velibor Bojkovic, Yingxu Wang, Zixiao Wang, Zangir Iklassov, Kailong Zhao, Liang Li, Siwei Liu, Yu Zhong, Wei Liu, Shangsong Liang
2024	J	`jnl`	Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. CoRR Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác
2024	A*	`conf`	Self-Guiding Exploration for Combinatorial Problems. NeurIPS Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takác
2024	J	`jnl`	Self-Guiding Exploration for Combinatorial Problems. CoRR Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takác
2023	A*	`conf`	On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. IJCAI Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác
2023	J	`jnl`	Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. IEEE Access Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác
2023	C	`conf`	Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. ACML Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác
2023	J	`jnl`	Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. CoRR Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác
2022	J	`jnl`	AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography. CoRR Zangir Iklassov, Dmitrii Medvedev, Otabek Nazarov
2022	J	`jnl`	Learning to generalize Dispatching rules on the Job Shop Scheduling. CoRR Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, Martin Takác
2022	J	`jnl`	Robust Reinforcement Learning on Graphs for Logistics optimization. CoRR Zangir Iklassov, Dmitrii Medvedev
2019	J	`jnl`	Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution. IEEE Access Beibit Abdikenov, Zangir Iklassov, Askhat Sharipov, Shahid Hussain, Prashant Kumar Jamwal

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.