Tai-Woo Chang

12 papers C 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating the Economic Impact of Smart Factory Policies: A Causal Inference Approach Using Propensity Score Matching. Syst. Sangun Park, Tai-Woo Chang
2024	J	`jnl`	Deep Learning-Based Freight Recommendation System for Freight Brokerage Platform. Syst. Yeon-Soo Kim, Tai-Woo Chang
2024	J	`jnl`	Enhancing Quality Control in Battery Component Manufacturing: Deep Learning-Based Approaches for Defect Detection on Microfasteners. Syst. Thi-Thu-Huyen Vu, Tai-Woo Chang, Haejoong Kim
2023	J	`jnl`	A Maturity Model for Diagnosing the Capabilities of Smart Factory Solution Suppliers and Its Pilot Application. Syst. Cheol-Won Cha, Jeongcheol Lee, Sungbum Jun, Keumseok Kang, Tai-Woo Chang
2023	C	`conf`	Performance analysis of promotion programs of the smart factory using propensity score matching. ISM Tai-Woo Chang, Yuri Kim
2022	C	`conf`	A YOLO-based Real-time Packaging Defect Detection System. ISM Thi-Thu-Huyen Vu, Dinh-Lam Pham, Tai-Woo Chang
2018	—	`conf`	Measuring Similarity for Manufacturing Process Models. APMS (2) Hyun Ahn, Tai-Woo Chang
2017	J	`jnl`	Developing performance measurement system for Internet of Things and smart factory environment. Int. J. Prod. Res. Gyusun Hwang, Jeongcheol Lee, Jinwoo Park, Tai-Woo Chang
2016	J	`jnl`	Two-Phase Algorithm for Optimal Camera Placement. Sci. Program. Jun-Woo Ahn, Tai-Woo Chang, Sung-Hee Lee, Yongwon Seo
2010	J	`jnl`	An integrative framework for supplier relationship management. Ind. Manag. Data Syst. Jongkyung Park, Kitae Shin, Tai-Woo Chang, Jinwoo Park
2004	—	`conf`	Evaluation of Operation Policies for Automatic Delivery Sequence Sorting Systems. AsiaSim Joon-Mook Lim, Tai-Woo Chang
2004	—	`conf`	Vendor Managed Inventory and Its Effect in the Supply Chain. AsiaSim Sungwon Jung, Tai-Woo Chang, Eoksu Sim, Jinwoo Park

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.