Takemasa Miyoshi

12 papers A 2C 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Topological regularization on numerical simulations of the advection equation. JSIAM Lett. Kota Takeda, Shizuo Kaji, Takemasa Miyoshi
2023	J	`jnl`	Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter. J. Comput. Appl. Math. Qiwen Sun, Takemasa Miyoshi, Serge Richard
2023	A	`conf`	Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics. SC Takemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, James Taylor, Takumi Honda, Hirofumi Tomita, Seiya Nishizawa, Kenta Sueki, Tsuyoshi Yamaura, Yutaka Ishikawa, Shinsuke Satoh, Tomoo Ushio, Kana Koike, Atsuya Uno
2021	J	`jnl`	Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo. CoRR Chang Sun, Serge Richard, Takemasa Miyoshi
2021	J	`jnl`	Analysis of COVID-19 in Japan with Extended SEIR model and ensemble Kalman filter. CoRR Qiwen Sun, Serge Richard, Takemasa Miyoshi
2020	A	`conf`	A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations. SC Hisashi Yashiro, Koji Terasaki, Yuta Kawai, Shuhei Kudo, Takemasa Miyoshi, Toshiyuki Imamura, Kazuo Minami, Hikaru Inoue, Tatsuo Nishiki, Takayuki Saji, Masaki Satoh, Hirofumi Tomita
2018	C	`conf`	DTF: An I/O Arbitration Framework for Multi-component Data Processing Workflows. ISC Tatiana V. Martsinkevich, Balazs Gerofi, Guo-Yuan Lien, Seiya Nishizawa, Wei-keng Liao, Takemasa Miyoshi, Hirofumi Tomita, Yutaka Ishikawa, Alok N. Choudhary
2017	J	`jnl`	A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers. Concurr. Comput. Pract. Exp. Jianwei Liao, Balazs Gerofi, Guo-Yuan Lien, Takemasa Miyoshi, Seiya Nishizawa, Hirofumi Tomita, Wei-keng Liao, Alok N. Choudhary, Yutaka Ishikawa
2016	J	`jnl`	"Big Data Assimilation" Toward Post-Petascale Severe Weather Prediction: An Overview and Progress. Proc. IEEE Takemasa Miyoshi, Guo-Yuan Lien, Shinsuke Satoh, Tomoo Ushio, Kotaro Bessho, Hirofumi Tomita, Seiya Nishizawa, Ryuji Yoshida, Sachiho A. Adachi, Jianwei Liao, Balazs Gerofi, Yutaka Ishikawa, Masaru Kunii, Juan Ruiz, Yasumitsu Maejima, Shigenori Otsuka, Michiko Otsuka, Kozo Okamoto, Hiromu Seko
2016	—	`conf`	Toward a General I/O Arbitration Framework for netCDF Based Big Data Processing. Euro-Par Jianwei Liao, Balazs Gerofi, Guo-Yuan Lien, Seiya Nishizawa, Takemasa Miyoshi, Hirofumi Tomita, Yutaka Ishikawa
2015	J	`jnl`	Big Ensemble Data Assimilation in Numerical Weather Prediction. Computer Takemasa Miyoshi, Keiichi Kondo, Koji Terasaki
2014	J	`jnl`	Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year. Supercomput. Front. Innov. Satoshi Matsuoka, Hitoshi Sato, Osamu Tatebe, Michihiro Koibuchi, Ikki Fujiwara, Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama, Toyotaro Suzumura, Koji Ueno, Hiroki Kanezashi, Takemasa Miyoshi

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.