Fanxin Wang - RankMe

12 papers A 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deployable Bio-inspired Compliant Leg Design for Enhanced Leaping in Quadruped Robots. CoRR Yiyang Chen, Yuxin Liu, Jinzheng Zhou, Fanxin Wang, Qinglei Bu, Jie Sun, Yikun Cheng
2026	J	`jnl`	Sampling Strategy Design for Model Predictive Path Integral Control on Legged Robot Locomotion. CoRR Chuyuan Tao, Fanxin Wang, Haolong Jiang, Jia He, Yiyang Chen, Qinglei Bu
2025	A	`conf`	DBaS-Log-MPPI: Efficient and Safe Trajectory Optimization via Barrier States. IROS Fanxin Wang, Haolong Jiang, Chuyuan Tao, Wenbin Wan, Yikun Cheng
2025	J	`jnl`	DBaS-Log-MPPI: Efficient and Safe Trajectory Optimization via Barrier States. CoRR Fanxin Wang, Haolong Jiang, Chuyuan Tao, Wenbin Wan, Yikun Cheng
2025	J	`jnl`	MPPI-DBaS: Safe Trajectory Optimization with Adaptive Exploration. CoRR Fanxin Wang, Yikun Cheng, Chuyuan Tao
2025	J	`jnl`	Needle Biopsy And Fiber-Optic Compatible Robotic Insertion Platform. CoRR Fanxin Wang, Yikun Cheng, Chuyuan Tao, Rohit Bhargava, Thenkurussi Kesavadas
2024	A	`conf`	An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals. IROS Chuyuan Tao, Sheng Cheng, Fanxin Wang, Yang Zhao, Naira Hovakimyan
2024	J	`jnl`	An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals. CoRR Chuyuan Tao, Sheng Cheng, Yang Zhao, Fanxin Wang, Naira Hovakimyan
2022	J	`jnl`	Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control. IEEE Robotics Autom. Lett. Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel J. Block, Naira Hovakimyan
2022	J	`jnl`	Low-Cost UVBot Using SLAM to Mitigate the Spread of Noroviruses in Occupational Spaces. Sensors Fanxin Wang, Harris J. Nisar, Yao Li, Elbashir Araud, Thanh H. Nguyen, Thenkurussi Kesavadas
2021	J	`jnl`	Improving the Robustness of Reinforcement Learning Policies with L CoRR Yikun Cheng, Pan Zhao, Fanxin Wang, Daniel J. Block, Naira Hovakimyan
2019	—	`conf`	Mechanical Design and Modeling of a Manipulator Tool for a Compact Multiple-Tool Single Port Laparoscopic Robot Platform. EMBC Fanxin Wang, Nicholas J. Toombs, Thenkurussi Kesavadas, Placid M. Ferreira

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.