Dai Kusui - RankMe

14 papers A* 1B 1C 2Journal 1Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Development of the WISDOM-DX Recommendation System for Enhancing DX Talent Development. HCI (62) Akitoshi Okumura, Noriyoshi Ichinose, Hirona Yasuda, Dai Kusui, Kai Ishikawa, Kentaro Torisawa, Kiyonori Ohtake
2023	J	`jnl`	WISDOM-DX: An Automatic DX Assessment System Using a QA System Based on Web Data. J. Inf. Process. Kai Ishikawa, Akitoshi Okumura, Dai Kusui, Noriyoshi Ichinose, Kentaro Torisawa, Kiyonori Ohtake
2018	—	`conf`	A Novel Agricultural Skill Learning Support System and its Deployment and Evaluation. SCIS&ISIS Dai Kusui, Hideo Shimazu, Katsuhiko Suezawa, Atsushi Shinjo
2011	—	`conf`	A method for conversational topic recommendation to appropriate user group. ICDIM Yoshio Ishizawa, Dai Kusui, Hironori Mizuguchi, Yukitaka Kusumura, Yusuke Muraoka
2010	A*	`conf`	5w viewpoints associative topic search for networked conversation support system. HRI Yukitaka Kusumura, Hironori Mizuguchi, Dai Kusui, Yoshio Ishizawa, Yusuke Muraoka
2010	—	`conf`	An Information Extraction Method for Multiple Data Sources. NTCIR Hironori Mizuguchi, Dai Kusui
2008	B	`conf`	Fast Duplicated Documents Detection using Multi-level Prefix-filter. IJCNLP Kenji Tateishi, Dai Kusui
2008	—	`conf`	Opinion Sentence and Topic Relevant Sentence Extraction by Using Coherent Structure among the Sentences. NTCIR Hironori Mizuguchi, Masaaki Tsuchida, Kenji Tateishi, Dai Kusui
2008	—	`conf`	Ranking Method of Object-Attribute-Evaluation Three-Tuples for Opinion Retrieval. JSAI Masaaki Tsuchida, Hironori Mizuguchi, Dai Kusui
2007	—	`conf`	Extraction of Statistical Terms and Co-occurrence Networks from Newspapers. NTCIR Haruka Saito, Hideki Kawai, Masaaki Tsuchida, Hironori Mizuguchi, Dai Kusui
2007	—	`conf`	Three-Phase Opinion Analysis System at NTCIR-6. NTCIR Hironori Mizuguchi, Masaaki Tsuchida, Dai Kusui
2005	—	`conf`	Verification of Effective Retrieval Method for Anchor Text on Navigational Retrieval. NTCIR Kenji Tateishi, Hideki Kawai, Dai Kusui, Toshikazu Fukushima
2001	C	`conf`	Real-Time Creation of Frequently Asked Questions. ICCBR Hideo Shimazu, Dai Kusui
2001	C	`conf`	Transforming Electronic Mail Folders into Case Bases. ICCBR Dai Kusui, Hideo Shimazu

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.