Qian (Chayn) Sun

13 papers B 1C 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-Scale and Population-Weighted PM2.5 Modeling in Melbourne: Towards Detailed Urban Exposure Mapping. ISPRS Int. J. Geo Inf. Jun Gao, Xuying Ma, Qian (Chayn) Sun, Wenhui Cai, Xiaoqi Wang, Yifan Wang, Zelei Tan, Danyang Li, Yuanyuan Fan, Leshu Zhang, Yixin Xu, Xueyao Liu, Yuxin Ma
2026	J	`jnl`	Semantic data enrichment for maintenance of foundation spatial data. Comput. Environ. Urban Syst. Nenad Radosevic, Matt Duckham, Mohammad Kazemi Beydokhti, Robert Atkinson, Yang Chen, Luc Houselander, Krzysztof Janowicz, Nathaniel Jeffrey, Allison Kealy, Qian (Chayn) Sun, Yaguang Tao, Nayomi Ranamuka
2025	—	`conf`	Changes in Attention Levels While Driving a Car Estimated Using Modelling Techniques with Features of Oculo-Motors. BIOSTEC (1) Minoru Nakayama, Qian (Chayn) Sun, Jianhong Cecilia Xia
2024	B	`conf`	Car driving temporal cognitive workload estimation using features of eye tracking. ETRA Minoru Nakayama, Qian (Chayn) Sun, Jianhong Cecilia Xia
2024	J	`jnl`	Spatial digital twin framework for overheight vehicle warning and re-routing system. Urban Inform. Oliver Trembearth, Qian (Chayn) Sun, Siqin Wang, Matt Duckham
2023	J	`jnl`	A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data. ISPRS Int. J. Geo Inf. Reza Hosseini, Daoqin Tong, Samsung Lim, Qian (Chayn) Sun, Gunho Sohn, Gyözö Gidófalvi, Abbas Alimohammadi, Seyedehsan Seyedabrishami
2022	C	`conf`	Estimation of Older Driver's Cognitive Performance and Workload Using Features of Eye movement and Pupil Response on Test Routes. IV Minoru Nakayama, Qian (Chayn) Sun, Jianhong Cecilia Xia
2022	J	`jnl`	Evaluating Satellite Soil Moisture Datasets for Drought Monitoring in Australia and the South-West Pacific. Remote. Sens. Jessica Bhardwaj, Yuriy Kuleshov, Zhi-Weng Chua, Andrew B. Watkins, Suelynn Choy, Qian (Chayn) Sun
2021	—	`conf`	Are high distributed streetscapes also located in the high social interaction streets? A Space syntax approach on street liveability assessment. Geoinformatics Shalika Dharmasthala, Qian (Chayn) Sun, Nano Langenheim
2021	J	`jnl`	Building Capacity for a User-Centred Integrated Early Warning System for Drought in Papua New Guinea. Remote. Sens. Jessica Bhardwaj, Yuriy Kuleshov, Zhi-Weng Chua, Andrew B. Watkins, Suelynn Choy, Qian (Chayn) Sun
2020	J	`jnl`	Solar radiation modeling with KNIME and Solar Analyst: Increasing environmental model reproducibility using scientific workflows. Environ. Model. Softw. Nenad Radosevic, Matt Duckham, Gang-Jun Liu, Qian (Chayn) Sun
2019	J	`jnl`	Detecting and mapping traffic signs from Google Street View images using deep learning and GIS. Comput. Environ. Urban Syst. Andrew Campbell, Alan Both, Qian (Chayn) Sun
2019	—	`conf`	Prediction of Cognitive Performance of Drivers using Eye Fixation Behaviours. IV (1) Kakeru Yamaguchi, Minoru Nakayama, Qian (Chayn) Sun, Jianhong Cecilia Xia

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.