Bazargul Matkerim

15 papers B 2Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Physics-Driven Untrained Network for Highly Nonlinear Inverse Scattering Problems. CoRR Yutong Du, Zicheng Liu, Yi Huang, Bazargul Matkerim, Bo Qi, Yali Zong, Peixian Han
2025	J	`jnl`	Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network. CoRR Xinke Ma, Yongsheng Pan, Qingjie Zeng, Mengkang Lu, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia
2025	J	`jnl`	Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. IEEE J. Biomed. Health Informatics Yang Hu, Yuanyuan Chen, Xiaohan Xing, Jingfeng Zhang, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia
2025	J	`jnl`	Multi-Task Attention-Guided Deep Learning for Simultaneous Breast Cancer Detection and Density Estimation in Mammography. IEEE Access Gani Esen, Marat Nurtas, Laura La Paglia, Jandos Amankulov, Bazargul Matkerim, Aizhan Altaibek
2025	J	`jnl`	Physics-Driven Neural Network for Solving Electromagnetic Inverse Scattering Problems. CoRR Yutong Du, Zicheng Liu, Bazargul Matkerim, Changyou Li, Yali Zong, Bo Qi, Jingwei Kou
2024	—	`conf`	Enhancing Breast Cancer Detection with Dimensionality Reduction Techniques: A Study Using PCA and LDA on Wisconsin Breast Cancer Data. EUSPN/ICTH Gani Esen, Aizhan Altaibek, Jandos Amankulov, Bazargul Matkerim, Marat Nurtas
2024	J	`jnl`	Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting. Algorithms Bazargul Matkerim, Aksultan A. Mukhanbet, Nurislam Kassymbek, Beimbet Daribayev, Maksat Mustafin, Timur Imankulov
2023	—	`conf`	Enhancing Python Programming Education through Dynamic code execution and Assessment Methods. DTESI (workshops, short papers) Nurtugan Azatbekuly, Bazargul Matkerim
2023	—	`conf`	Parallel Implementation of Neural Networks for Solving the Problem of Oil Production. DTESI (workshops, short papers) Aksultan A. Mukhanbet, Bazargul Matkerim
2023	—	`conf`	The Effectiveness of Deep Learning Algorithms in Sign Road Recognition Problem. DTESI (workshops, short papers) Mohammad Ali Sheikh Soltani, Marat Nurtas, Bazargul Matkerim, Nurgul Nalgozhina
2015	—	`conf`	Applying MDA to Generate Hadoop Based Scientific Computing Applications. Ershov Memorial Conference Darkhan Akhmed-Zaki, Madina Mansurova, Bazargul Matkerim, Ekateryna Dadykina, Bolatzhan Kumalakov
2015	B	`conf`	Development of a Distributed Parallel Algorithm of 3D Hydrodynamic Calculation of Oil Production on the Basis of MapReduce Hadoop and MPI Technologies. PaCT Darkhan Akhmed-Zaki, Madina Mansurova, Timur Imankulov, Bazargul Matkerim, Ekaterina Dadykina
2015	—	`conf`	Iterative Mapreduce MPI Oil Reservoir Simulator. ICSOFT-EA Madina Mansurova, Darkhan Akhmed-Zaki, Adai Shomanov, Bazargul Matkerim, Ermek Alimzhanov
2014	—	`conf`	Distributed Parallel Algorithm for Numerical Solving of 3D Problem of Fluid Dynamics in Anisotropic Elastic Porous Medium Using MapReduce and MPI Technologies. ICSOFT EA Madina Mansurova, Darkhan Akhmed-Zaki, Bazargul Matkerim, Bolatzhan Kumalakov
2013	B	`conf`	Design of Distributed Parallel Computing Using by MapReduce/MPI Technology. PaCT Darkhan Akhmed-Zaki, Nargozy Danaev, Bazargul Matkerim, Amanzhol Bektemessov

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.