Fazlul Hasan Siddiqui

19 papers A* 2Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Plan Execution Flexibility using Block-Substitution. J. Artif. Intell. Res. Sabah Binte Noor, Fazlul Hasan Siddiqui
2025	J	`jnl`	Improving execution concurrency in partial-order plans via block-substitution. Auton. Agents Multi Agent Syst. Sabah Binte Noor, Fazlul Hasan Siddiqui
2024	J	`jnl`	Improving Execution Concurrency in Partial-Order Plans via Block-Substitution. CoRR Sabah Binte Noor, Fazlul Hasan Siddiqui
2024	J	`jnl`	Improving Plan Execution Flexibility using Block-Substitution. CoRR Sabah Binte Noor, Fazlul Hasan Siddiqui
2024	J	`jnl`	Revisiting block deordering in finite-domain state variable planning. AI Commun. Sabah Binte Noor, Fazlul Hasan Siddiqui
2023	—	`conf`	Improving MaxSAT-Reordered Plans via Block Deordering. NSysS Sabah Binte Noor, Fazlul Hasan Siddiqui
2022	—	`conf`	An Improved CNN-Based Feature Extraction Algorithm for Identifying Pneumonia from Chest X-Ray Images. ICO Susmita Kar, Fazlul Hasan Siddiqui, Nasim Akhtar
2022	—	`conf`	Bangla Speech-Based Person Identification Using LSTM Networks. MIET (1) Rahad Khan, Saddam Hossain, Akbor Hossain, Fazlul Hasan Siddiqui, Sabah Binte Noor
2022	—	`conf`	Face Recognition-Based Mass Attendance Using YOLOv5 and ArcFace. MIET (1) Omar Faruque, Fazlul Hasan Siddiqui, Sabah Binte Noor
2022	—	`conf`	Plan Deordering with Conditional Effects. IntelliSys (2) Sabah Binte Noor, Fazlul Hasan Siddiqui
2021	—	`conf`	Machine Learning Classification Algorithms for Predicting Depression Among University Students in Bangladesh. TCCE Uwasila Binte Munir, M. Shamim Kaiser, Uwaise Ibna Islam, Fazlul Hasan Siddiqui
2021	J	`jnl`	Video captioning with stacked attention and semantic hard pull. PeerJ Comput. Sci. Md. Mushfiqur Rahman, Thasin Abedin, Khondokar S. S. Prottoy, Ayana Moshruba, Fazlul Hasan Siddiqui
2020	J	`jnl`	Automated Large-scale Class Scheduling in MiniZinc. CoRR Md. Mushfiqur Rahman, Sabah Binte Noor, Fazlul Hasan Siddiqui
2020	J	`jnl`	Semantically Sensible Video Captioning (SSVC). CoRR Md. Mushfiqur Rahman, Thasin Abedin, Khondokar S. S. Prottoy, Ayana Moshruba, Fazlul Hasan Siddiqui
2019	J	`jnl`	An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM. Symmetry Md Motiur Rahman, Fazlul Hasan Siddiqui
2015	J	`jnl`	Continuing Plan Quality Optimisation. J. Artif. Intell. Res. Fazlul Hasan Siddiqui, Patrik Haslum
2015	A*	`conf`	Exploiting Block Deordering for Improving Planners Efficiency. IJCAI Lukás Chrpa, Fazlul Hasan Siddiqui
2013	A*	`conf`	Plan Quality Optimisation via Block Decomposition. IJCAI Fazlul Hasan Siddiqui, Patrik Haslum
2012	—	`conf`	Block-Structured Plan Deordering. Australasian Conference on Artificial Intelligence Fazlul Hasan Siddiqui, Patrik Haslum

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.