D. S. V. Bandara

15 papers Journal 6Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Modeling and Evaluation of Soft Gears for Wearable Robots SII Takeshi Kido, Keisuke Osawa, Kiyotaka Ikejo, Akio Ueda, D. S. V. Bandara, Jumpei Arata, Eiichiro Tanaka
2025	J	`jnl`	A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery. Int. J. Comput. Assist. Radiol. Surg. Ketai Chen, D. S. V. Bandara, Jumpei Arata
2025	—	`conf`	Assessing Dynamic Functional Connectivity from EEG in Low-Latency BCI for Robotic Neurorehabilitation. i-CREATe Edgard J. Barazorda, D. S. V. Bandara, Jumpei Arata
2024	—	`conf`	Classification of Hand Motions Using Spatial Information in HDEMG Signals with HOG Features. ICCAE D. S. V. Bandara, He Chongzaijiao, Jumpei Arata
2023	J	`jnl`	2.5-mm articulated endoluminal forceps using a compliant mechanism. Int. J. Comput. Assist. Radiol. Surg. Keisuke Osawa, D. S. V. Bandara, Ryu Nakadate, Yoshihiro Nagao, Tomohiko Akahoshi, Masatoshi Eto, Jumpei Arata
2023	J	`jnl`	3.5 mm compliant robotic surgical forceps with 4 DOF : design and performance evaluation. Adv. Robotics D. S. V. Bandara, Ryu Nakadate, Murilo M. Marinho, Kanako Harada, Mamoru Mitsuishi, Jumpei Arata
2023	—	`conf`	Active Range of Motion Measurement System Using an Optical Sensor to Evaluate Hand Functions. EMBC D. S. V. Bandara, Jumpei Arata
2023	J	`jnl`	Early-stage modeling and analysis of continuum compliant structure for multi-DOF endoluminal forceps using pseudo-rigid-body model. Adv. Robotics Keisuke Osawa, D. S. V. Bandara, Ryu Nakadate, Eiichiro Tanaka, Yoshihiro Nagao, Tomohiko Akahoshi, Masatoshi Eto, Jumpei Arata
2023	—	`conf`	Motion Intention Estimation of Finger Motions with Spatial Variations of HD EMG Signals. ICCAE D. S. V. Bandara, He Chongzaijiao, Jumpei Arata
2023	—	`conf`	Realtime EMG signal processing with OneClassSVM to extract motion intentions for a hand rehabilitation robot. SII Yoshinori Furukawa, D. S. V. Bandara, Hirofumi Nogami, Jumpei Arata
2022	J	`jnl`	Compact Variable Stiffness Actuator for Surgical Robots. J. Robotics Mechatronics Toshiro Osaka, Kenichiro Seto, D. S. V. Bandara, Hirofumi Nogami, Jumpei Arata
2019	—	`conf`	Design Strategy for a Surgical Manipulator based on a Compliant Mechanism : Rigidity and Range of Motion: Finding the Optimized Balance. ROBIO Zongpeng Wu, D. S. V. Bandara, Kazuo Kiguchi, Jumpei Arata
2018	—	`conf`	Brain signal acquisition methods in BCIs to estimate human motion intention - a survey. MHS D. S. V. Bandara, Kazuo Kiguchi
2016	J	`jnl`	Developments in hardware systems of active upper-limb exoskeleton robots: A review. Robotics Auton. Syst. R. A. R. C. Gopura, D. S. V. Bandara, Kazuo Kiguchi, George K. I. Mann
2014	—	`conf`	A multi-DoF anthropomorphic transradial prosthetic arm. BioRob D. S. V. Bandara, R. A. R. C. Gopura, K. T. M. U. Hemapala, Kazuo Kiguchi

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.