Okran Jeong

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MedSumGraph: enhancing GraphRAG for medical QA with summarization and optimized prompts. Artif. Intell. Medicine Daeho Kim, Soyeop Yoo, Okran Jeong
2025	J	`jnl`	MeDi-TODER: Medical Domain-Incremental Task-Oriented Dialogue Generator Using Experience Replay. Expert Syst. J. Knowl. Eng. Minji Kim, Joon Yoo, Okran Jeong
2024	J	`jnl`	Leveraging Medical Knowledge Graphs and Large Language Models for Enhanced Mental Disorder Information Extraction. Future Internet Chaelim Park, Hayoung Lee, Okran Jeong
2023	J	`jnl`	A Knowledge-Grounded Task-Oriented Dialogue System with Hierarchical Structure for Enhancing Knowledge Selection. Sensors Hayoung Lee, Okran Jeong
2023	J	`jnl`	A Token Classification-Based Attention Model for Extracting Multiple Emotion-Cause Pairs in Conversations. Sensors Soyeop Yoo, Okran Jeong
2023	J	`jnl`	PolarisX Int. J. Web Grid Serv. Yeonsun Ahn, Soyeop Yoo, Okran Jeong
2020	J	`jnl`	Automating the expansion of a knowledge graph. Expert Syst. Appl. Soyeop Yoo, Okran Jeong
2020	J	`jnl`	Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection. Sensors Daeho Kim, Okran Jeong
2020	J	`jnl`	Real-time disease detection and analysis system using social media contents. Int. J. Web Grid Serv. Soyeop Yoo, Daeho Kim, SungMin Yang, Okran Jeong
2018	J	`jnl`	Social media contents based sentiment analysis and prediction system. Expert Syst. Appl. Soyeop Yoo, Jein Song, Okran Jeong
2017	—	`conf`	A trajectory analysis system for social media contents using AsterixDB. IMCOM Soyeop Yoo, Taesoo Park, Jein Song, Okran Jeong

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.