Tae-Sub Yun

14 papers A 1B 1Misc 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Finance and Market Concentration Using Agent-Based Modeling: Evidence from South Korea. J. Artif. Soc. Soc. Simul. Yunkyeong Seo, Zeynep Altiner, Sumin Lee, Il-Chul Moon, Tae-Sub Yun
2024	J	`jnl`	Predicting rate of penetration (ROP) based on a deep learning approach: A case study of an enhanced geothermal system in Pohang, South Korea. Earth Sci. Informatics Wanhyuk Seo, Gyung Won Lee, Kwang Yeom Kim, Tae-Sub Yun
2023	—	`conf`	Modeling and Calibrating Digital Twin of Automatic Garbage Collection System in Sejong City. ANNSIM Tae-Sub Yun, Minsang Park, Il-Chul Moon
2022	J	`jnl`	Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect. J. Artif. Soc. Soc. Simul. Tae-Sub Yun, Dongjun Kim, Il-Chul Moon, Jang Won Bae
2022	J	`jnl`	Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters. CoRR Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae
2022	A	`conf`	Automatic Calibration Framework of Agent-based Models for Dynamic and Heterogeneous Parameters. AAMAS Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae
2022	J	`jnl`	Classification of igneous rocks from petrographic thin section images using convolutional neural network. Earth Sci. Informatics Wanhyuk Seo, Yejin Kim, Ho Sim, Yungoo Song, Tae-Sub Yun
2021	J	`jnl`	Automatic calibration of dynamic and heterogeneous parameters in agent-based models. Auton. Agents Multi Agent Syst. Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae
2020	Misc	`conf`	Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City. WSC Tae-Sub Yun, Il-Chul Moon, Young-Chul Kim, Ki-Sung Jin
2020	J	`jnl`	Estimation of the Structural and Geomechanical Anisotropy in Fault Gouges Using 3D Micro-Computed Tomography (μ-CT). Sensors Eomzi Yang, Tae-Sub Yun, Kwang Yeom Kim, Seongwoo Moon, Yong-Seok Seo
2020	J	`jnl`	Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income. J. Artif. Soc. Soc. Simul. Tae-Sub Yun, Il-Chul Moon
2020	J	`jnl`	Parameterization of the representative sizes of microstructural features in rocks using 3D X-ray computed tomographic images. Comput. Geosci. Seong Jun Ha, Yeon Jong Jeong, Tae-Sub Yun
2019	J	`jnl`	Automatic Calibration of Dynamic and Heterogeneous Parameters in Agent-based Model. CoRR Dongjun Kim, Tae-Sub Yun, Il-Chul Moon
2018	B	`conf`	Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations. SMC Il-Chul Moon, Dongjun Kim, Tae-Sub Yun, Jang Won Bae, Dong-oh Kang, Euihyun Paik

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.