Genki Yoshikawa

15 papers B 1Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	20.1 A 3.5×3.5mm ISSCC Kotaro Naruse, Naru Kato, Takuma Matsumori, Jun Shiomi, Yoshihiro Midoh, Tetsuya Hirose, Gaku Imamura, Genki Yoshikawa, Constantine Sideris, Noriyuki Miura
2024	—	`conf`	Compact Room Temperature-Operated Sensing System for Methanol and Ethanol Mixture Separation and Quantification. IEEE SENSORS Meng-Qun Feng, Tanju Yildirim, Alexandru Nica, Kosuke Minami, Kota Shiba, Genki Yoshikawa
2024	—	`conf`	Detection of acetone in milk through odor towards monitoring of ketosis in dairy cows. ISOEN Kosuke Minami, Masaaki Matoba, Ryoh Nakakubo, Genki Yoshikawa
2022	—	`conf`	Identification of gas species and their concentrations by using sorption kinetics of viscoelastic film. ISOEN Kosuke Minami, Kota Shiba, Gaku Imamura, Genki Yoshikawa
2021	J	`jnl`	Statistical Evaluation of Total Expiratory Breath Samples Collected throughout a Year: Reproducibility and Applicability toward Olfactory Sensor-Based Breath Diagnostics. Sensors Katsushige Inada, Hiroshi Kojima, Yukiko Cho-Isoda, Ryo Tamura, Gaku Imamura, Kosuke Minami, Takahiro Nemoto, Genki Yoshikawa
2020	J	`jnl`	Development of a Mobile Device for Odor Identification and Optimization of Its Measurement Protocol Based on the Free-Hand Measurement. Sensors Gaku Imamura, Genki Yoshikawa
2020	J	`jnl`	Finite Element Analysis of Interface Dependence on Nanomechanical Sensing. Sensors Kosuke Minami, Genki Yoshikawa
2019	—	`conf`	Humidity and VOC Sensing Performance of a PVP and PVP/ZSM5 Composite. IEEE SENSORS Mahnaz Shafiei, Kota Shiba, Gaku Imamura, Genki Yoshikawa, Ian D. R. Mackinnon
2019	—	`conf`	Membrane-type Surface Stress Sensor (MSS) for Artificial Olfaction. ISOEN Huynh Thien Ngo, Kosuke Minami, Gaku Imamura, Kota Shiba, Genki Yoshikawa
2019	—	`conf`	Piezoresistive Membrane-type Surface-stress Sensor and Signal Readout Module to Support Research on Odor/Gas Sensing. ISOEN Terunobu Akiyama, Genki Yoshikawa
2018	J	`jnl`	Effects of Center Metals in Porphines on Nanomechanical Gas Sensing. Sensors Huynh Thien Ngo, Kosuke Minami, Gaku Imamura, Kota Shiba, Genki Yoshikawa
2017	B	`conf`	Machine Learning Independent of Population Distributions for Measurement. DSAA Takashi Washio, Gaku Imamura, Genki Yoshikawa
2012	—	`conf`	NEMS based tools for nanoscience and atomic clocks. NEMS Nico F. de Rooij, Sebastian Gautsch, Terunobu Akiyama, Frédéric Loizeau, Gaetano Mileti, Yves Petremand, U. Staufer, Rahel Straessle, Genki Yoshikawa
2012	J	`jnl`	Two Dimensional Array of Piezoresistive Nanomechanical Membrane-Type Surface Stress Sensor (MSS) with Improved Sensitivity. Sensors Genki Yoshikawa, Terunobu Akiyama, Frédéric Loizeau, Kota Shiba, Sebastian Gautsch, Tomonobu Nakayama, Peter Vettiger, Nico F. de Rooij, Masakazu Aono
2002	—	`conf`	Glasses Frame Detection with 3D Hough Transform. ICPR (2) Haiyuan Wu, Genki Yoshikawa, Tadayoshi Shioyama, Shihong Lao, Masato Kawade

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.