Zhenghui Sha - RankMe

24 papers B 1C 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities. CoRR Yibai Li, Xiaolin Lin, Zhenghui Sha, Zhiye Jin, Xiaobing Li
2025	J	`jnl`	Generative Model Predictive Control in Manufacturing Processes: A Review. CoRR Suk Ki Lee, Ronnie F. P. Stone, Max Gao, Wenlong Zhang, Zhenghui Sha, Hyunwoong Ko
2025	J	`jnl`	Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images. CoRR Xingang Li, Zhenghui Sha
2025	J	`jnl`	LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation. J. Comput. Inf. Sci. Eng. Xingang Li, Yuewan Sun, Zhenghui Sha
2025	J	`jnl`	Network Analysis of Two-Stage Customer Decisions With Preference-Guided Market Segmentation. J. Comput. Inf. Sci. Eng. Yaxin Cui, Zhuoxin Sun, Yinshuang Xiao, Zhenghui Sha, Johan Koskinen, Noshir Contractor, Wei Chen
2025	J	`jnl`	Risk-Bounded and Probabilistic Roadmap-Based Motion Planner for Arbitrarily Shaped Robots With Uncertainty. J. Comput. Inf. Sci. Eng. Ronnie F. P. Stone, Junmin Wang, Zhenghui Sha
2025	J	`jnl`	SafeZone*: A Graph-Based and Time-Optimal Cooperative 3D Printing Framework. J. Comput. Inf. Sci. Eng. Peter Stone, Matthew Ebert, Wenchao Zhou, Ergun Akleman, Vinayak R. Krishnamurthy, Zhenghui Sha
2024	—	`conf`	Geospatial Network Analysis of US Megaregions in 40 Years. HICSS Pawornwan Thongmak, Yinshuang Xiao, Phillip Gavino, Ming Zhang, Zhenghui Sha
2024	J	`jnl`	Human-Centered Generative Design Framework: An Early Design Framework to Support Concept Creation and Evaluation. Int. J. Hum. Comput. Interact. H. Onan Demirel, Molly Hathaway Goldstein, Xingang Li, Zhenghui Sha
2024	J	`jnl`	Modeling Spatiotemporal Heterogeneity of Customer Preferences With Small-Scale Aggregated Data: A Spatial Panel Modeling Approach. J. Comput. Inf. Sci. Eng. Yuyang Chen, Youyi Bi, Jian Xie, Zhenghui Sha, Mingxian Wang, Yan Fu, Wei Chen
2023	J	`jnl`	Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization. Adv. Eng. Informatics Xinyu Li, Pai Zheng, Zhenghui Sha, Dazhong Wu, Ying Liu
2022	J	`jnl`	A Weighted Statistical Network Modeling Approach to Product Competition Analysis. Complex. Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor, Wei Chen
2022	—	`conf`	An Exploratory Study on Fairness-Aware Design Decision-Making. HICSS Sumaiya Sultana Tanu, Lu Zhang, Dinesh Gauri, Zhenghui Sha
2021	—	`conf`	Part-Aware Product Design Agent Using Deep Generative Network and Local Linear Embedding. HICSS Xingang Li, Charles Xie, Zhenghui Sha
2021	C	`conf`	Uncovering Generative Design Rationale in the Undergraduate Classroom. FIE Molly Hathaway Goldstein, James Sommer, Natascha Trellinger Buswell, Xingang Li, Zhenghui Sha, H. Onan Demirel
2020	J	`jnl`	A Generative Approach for Scheduling Multi-Robot Cooperative Three-Dimensional Printing. J. Comput. Inf. Sci. Eng. Laxmi Poudel, Wenchao Zhou, Zhenghui Sha
2020	J	`jnl`	A Heuristic Scaling Strategy for Multi-Robot Cooperative Three-Dimensional Printing. J. Comput. Inf. Sci. Eng. Laxmi Poudel, Chandler Blair, Jace McPherson, Zhenghui Sha, Wenchao Zhou
2020	J	`jnl`	Data-Driven Predictive Modeling of Tensile Behavior of Parts Fabricated by Cooperative 3D Printing. J. Comput. Inf. Sci. Eng. Ziyang Zhang, Laxmi Poudel, Zhenghui Sha, Wenchao Zhou, Dazhong Wu
2019	J	`jnl`	Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach. J. Comput. Inf. Sci. Eng. Zhenghui Sha, Ashish M. Chaudhari, Jitesh H. Panchal
2018	J	`jnl`	A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations. Complex. Zhenghui Sha, Yun Huang, Jiawei Sophia Fu, Mingxian Wang, Yan Fu, Noshir Contractor, Wei Chen
2014	J	`jnl`	A Generative Network Model for Product Evolution. J. Comput. Inf. Sci. Eng. Qize Le, Zhenghui Sha, Jitesh H. Panchal
2014	B	`conf`	Estimating linking preferences and behaviors of autonomous systems in the Internet using a discrete choice model. SMC Zhenghui Sha, Jitesh H. Panchal
2013	—	`conf`	Towards the Design of Complex Evolving Networks with High Robustness and Resilience. CSER Zhenghui Sha, Jitesh H. Panchal
2011	—	`conf`	Position servo control of the slider in double toggle mechanical press using Bezier curve model and fuzzy control. CASE Jia Xie, Shengdun Zhao, Zhenghui Sha, Jintao Liang

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.