Pak-Wai Chan - RankMe

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Arbitrary-scale atmospheric downscaling with mixture of implicit neural networks trained on fixed-scale data. Pattern Recognit. Teng-Yue Chen, Jie-Lan Xie, Wei Zhou, Jian-Fang Hu, Peng-Qin Yao, Tianming Liang, Wei-Shi Zheng, Pak-Wai Chan
2026	J	`jnl`	Enhancing Aviation Safety: A Feature Fusion Approach for Hazardous Wind Identification. IEEE Trans. Aerosp. Electron. Syst. Hang Gao, Wentai Lei, Chun Shen, Pak-Wai Chan, Kai-Kwong Hon, Jianbing Li
2026	J	`jnl`	Facilitating Climate-Friendly Aviation: Spatial-Frequency Synergy for Contrail Detection in Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Rong Tang, Kam K. H. Ng, Zhizhao Liu, Pak-Wai Chan
2024	J	`jnl`	Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data. Appl. Artif. Intell. Afaq Khattak, Jianping Zhang, Pak-Wai Chan, Feng Chen
2024	J	`jnl`	Estimating Turbulence Due to Low-Level Wind Shear in Airport Runway Zones Using TabNet-SHAP Framework. IEEE Access Afaq Khattak, Jianping Zhang, Pak-Wai Chan, Feng Chen, Abdulrazak H. Almaliki, Caroline Mongina Matara
2024	J	`jnl`	Improved fusion model for generating hourly fine scale land surface temperature data under all-weather condition. Int. J. Appl. Earth Obs. Geoinformation Ibrahim Ademola Adeniran, Majid Nazeer, Man Sing Wong, Rui Zhu, Jinxin Yang, Pak-Wai Chan
2024	J	`jnl`	Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection. Remote. Sens. Jie Zhang, Pak-Wai Chan, Michael Kwok-Po Ng
2023	J	`jnl`	Aircraft Wake Recognition and Strength Classification Based on Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Chun Shen, Weiwei Tang, Hang Gao, Xuesong Wang, Pak-Wai Chan, Kai-Kwong Hon, Jianbing Li
2022	J	`jnl`	A Deep Learning-Based Wind Field Nowcasting Method With Extra Attention on Highly Variable Events. IEEE Geosci. Remote. Sens. Lett. Hang Gao, Chun Shen, Yi Zhou, Xuesong Wang, Pak-Wai Chan, Kai-Kwong Hon, Jianbing Li
2022	J	`jnl`	A Hybrid Method for Fine-Scale Wind Field Retrieval Based on Machine Learning and Data Assimilation. IEEE Trans. Geosci. Remote. Sens. Hang Gao, Jie Zhou, Pak-Wai Chan, Kai-Kwong Hon, Jianbing Li
2022	J	`jnl`	A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hang Gao, Chun Shen, Yi Zhou, Xue-Song Wang, Pak-Wai Chan, Kai-Kwong Hon, Dingfu Zhou, Jianbing Li
2022	J	`jnl`	High-Order Taylor Expansion for Wind Field Retrieval Based on Ground-Based Scanning Lidar. IEEE Trans. Geosci. Remote. Sens. Hang Gao, Jie Zhou, Chun Shen, Xue-Song Wang, Pak-Wai Chan, Kai-Kwong Hon, Jianbing Li
2022	J	`jnl`	Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio. Remote. Sens. Zhijie Zhang, Li Liu, Baomin Wang, Haobo Tan, Changxing Lan, Ye Wang, Pak-Wai Chan
2021	J	`jnl`	On the Use of Dynamic Calibration to Correct Drop Counter Rain Gauge Measurements. Sensors Mattia Stagnaro, Arianna Cauteruccio, Luca G. Lanza, Pak-Wai Chan

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.