Qiushi Fu - RankMe

15 papers Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Box and Block Test with Computer Vision for Post-Stroke Upper Extremity Motor Evaluation. CoRR David Robinson, Animesh Gupta, Elizabeth Clark, Olga Melnik, Qiushi Fu, Mubarak Shah
2026	J	`jnl`	Role specialization enables superior task performance by human dyads than individuals. Int. J. Robotics Res. Asuka Takai, Qiushi Fu, Yuzuru Doibata, Giuseppe Lisi, Toshiki Tsuchiya, Keivan Mojtahedi, Toshinori Yoshioka, Mitsuo Kawato, Jun Morimoto, Marco Santello
2025	J	`jnl`	Cortical neural activity during responses to mechanical perturbation: Effects of hand preference and hand used. NeuroImage Kevin Hooks, Kimia Kiani, Qiushi Fu
2025	J	`jnl`	Research and experiment of a novel leak detection robot. Ind. Robot Libo Long, Siyi Cao, Fengrui Rao, Qiushi Fu, Yubing Leng, Qingfeng Xu, Xizhong Zhang
2025	J	`jnl`	STROKEVISION-BENCH: A Multimodal Video And 2D Pose Benchmark For Tracking Stroke Recovery. CoRR David Robinson, Animesh Gupta, Rizwan Quershi, Qiushi Fu, Mubarak Shah
2025	—	`conf`	Strokevision-Bench: A Multimodal Video and 2D Pose Benchmark for Tracking Stroke Recovery. MLSP David Robinson, Animesh Gupta, Rizwan Qureshi, Qiushi Fu, Mubarak Shah
2020	J	`jnl`	Modeling Previous Trial Effect in Human Manipulation through Iterative Learning Control. Adv. Intell. Syst. Lorenzo Cenceschi, Cosimo Della Santina, Giuseppe Averta, Manolo Garabini, Qiushi Fu, Marco Santello, Matteo Bianchi, Antonio Bicchi
2019	—	`conf`	A Physics-based Virtual Reality Environment to Quantify Functional Performance of Upper-limb Prostheses. EMBC Katy Odette, Qiushi Fu
2017	J	`jnl`	Improving Fine Control of Grasping Force during Hand-Object Interactions for a Soft Synergy-Inspired Myoelectric Prosthetic Hand. Frontiers Neurorobotics Qiushi Fu, Marco Santello
2017	J	`jnl`	Soft Robotic Haptic Interface with Variable Stiffness for Rehabilitation of Neurologically Impaired Hand Function. Frontiers Robotics AI Frederick Sebastian, Qiushi Fu, Marco Santello, Panagiotis Polygerinos
2016	—	`ch.`	Dexterous Manipulation: From High-Level Representation to Low-Level Coordination of Digit Forces and Positions. Human and Robot Hands Qiushi Fu, Marco Santello
2015	J	`jnl`	Extraction of Time and Frequency Features From Grip Force Rates During Dexterous Manipulation. IEEE Trans. Biomed. Eng. Keivan Mojtahedi, Qiushi Fu, Marco Santello
2013	—	`conf`	Human reach-to-grasp compensation with object pose uncertainty. EMBC Qiushi Fu, Arash Ushani, Leif P. Jentoft, Robert D. Howe, Marco Santello
2011	—	`conf`	Towards a complete description of grasping kinematics: A framework for quantifying human grasping and manipulation. EMBC Qiushi Fu, Marco Santello
2010	—	`conf`	The Reconfigurable Omnidirectional Articulated Mobile Robot (ROAMeR). ISER Qiushi Fu, Xiaobo Zhou, Venkat Krovi

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.