Zhanshan (Sam) Ma

37 papers A* 1A 1Misc 1Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Metagenome comparison (MC): A new framework for detecting unique/enriched OMUs (operational metagenomic units) derived from whole-genome sequencing reads. Comput. Biol. Medicine Zhanshan (Sam) Ma
2024	J	`jnl`	Towards a unified medical microbiome ecology of the OMU for metagenomes and the OTU for microbes. BMC Bioinform. Zhanshan (Sam) Ma
2022	J	`jnl`	Coupling Power Laws Offers a Powerful Modeling Approach to Certain Prediction/Estimation Problems With Quantified Uncertainty. Frontiers Appl. Math. Stat. Zhanshan (Sam) Ma
2021	J	`jnl`	Coupling Power Laws Offers a Powerful Method for Problems such as Biodiversity and COVID-19 Fatality Predictions. CoRR Zhanshan (Sam) Ma
2020	J	`jnl`	Spatiotemporal fluctuation scaling law and metapopulation modeling of the novel coronavirus (COVID-19) and SARS outbreaks. CoRR Zhanshan (Sam) Ma
2017	J	`jnl`	A new dominance concept and its application to diversity-stability analysis. CoRR Zhanshan (Sam) Ma, Aaron M. Ellison
2017	J	`jnl`	Extending species-area relationships (SAR) to diversity-area relationships (DAR). CoRR Zhanshan (Sam) Ma
2017	J	`jnl`	Reconstructing evolutionary trees in parallel for massive sequences. BMC Syst. Biol. Quan Zou, Shixiang Wan, Xiangxiang Zeng, Zhanshan (Sam) Ma
2015	J	`jnl`	Towards computational models of animal cognition, an introduction for computer scientists. Cogn. Syst. Res. Zhanshan (Sam) Ma
2015	J	`jnl`	Towards computational models of animal communications, an introduction for computer scientists. Cogn. Syst. Res. Zhanshan (Sam) Ma
2013	J	`jnl`	Stochastic Populations, Power Law and Fitness Aggregation in Genetic Algorithms. Fundam. Informaticae Zhanshan (Sam) Ma
2012	J	`jnl`	A Note on Extending Taylor's Power Law for Characterizing Human Microbial Communities: Inspiration from Comparative Studies on the Distribution Patterns of Insects and Galaxies, and as a Case Study for Medical Ecology. CoRR Zhanshan (Sam) Ma
2012	J	`jnl`	A unified definition for reliability, survivability and resilience inspired by the handicap principle and ecological stability. Int. J. Crit. Infrastructures Zhanshan (Sam) Ma
2012	J	`jnl`	Chaotic populations in genetic algorithms. Appl. Soft Comput. Zhanshan (Sam) Ma
2012	J	`jnl`	Exploiting sparseness in de novo genome assembly. BMC Bioinform. Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu
2011	J	`jnl`	Dynamic Hybrid Fault Modeling and Extended Evolutionary Game Theory for Reliability, Survivability and Fault Tolerance Analyses. IEEE Trans. Reliab. Zhanshan (Sam) Ma, Axel W. Krings
2011	J	`jnl`	Ecological 'theatre' for evolutionary computing 'play': some insights from population ecology and evolutionary ecology. Int. J. Bio Inspired Comput. Zhanshan (Sam) Ma
2011	J	`jnl`	Frailty modelling for risk analysis in network security and survivability. Int. J. Inf. Comput. Secur. Zhanshan (Sam) Ma
2011	—	`conf`	Has the cyber warfare threat been overstated?: a cheap talk game-theoretic analysis on the Google-hacking claim? CSIIRW Zhanshan (Sam) Ma, Hongju (Daisy) Chen, Jiajin Zhang, Axel W. Krings, Frederick T. Sheldon
2011	J	`jnl`	SparseAssembler2: Sparse k-mer Graph for Memory Efficient Genome Assembly CoRR Chengxi Ye, Charles H. Cannon, Zhanshan (Sam) Ma, Douglas W. Yu, Mihai Pop
2011	J	`jnl`	SparseAssembler: de novo Assembly with the Sparse de Bruijn Graph CoRR Chengxi Ye, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop, Douglas W. Yu
2010	J	`jnl`	An integrated approach to network intrusion detection with block clustering analysis, generalised logistic regression and linear discriminant analysis. Int. J. Inf. Comput. Secur. Zhanshan (Sam) Ma
2010	—	`conf`	The handicap principle, strategic information warfare and the paradox of asymmetry. CSIIRW Zhanshan (Sam) Ma, Frederick T. Sheldon, Axel W. Krings
2009	—	`conf`	An outline of the three-layer survivability analysis architecture for strategic information warfare research. CSIIRW Zhanshan (Sam) Ma, Axel W. Krings, Frederick T. Sheldon
2009	J	`jnl`	Insect sensory systems inspired computing and communications. Ad Hoc Networks Zhanshan (Sam) Ma, Axel W. Krings
2009	—	`conf`	Introduction of first passage time (FPT) analysis for software reliability and network security. CSIIRW Zhanshan (Sam) Ma, Axel W. Krings, Richard C. Millar
2009	—	`conf`	Surviving Attacks and Intrusions: What can we Learn from Fault Models. HICSS Axel W. Krings, Zhanshan (Sam) Ma
2009	—	`conf`	The Handicap Principle for Trust in Computer Security, the Semantic Web and Social Networking. WISM Zhanshan (Sam) Ma, Axel W. Krings, Chih-Cheng Hung
2009	—	`conf`	Towards a Population Dynamics Theory for Evolutionary Computing: Learning from Biological Population Dynamics in Nature. AICI Zhanshan (Sam) Ma
2009	—	`conf`	Towards an Extended Evolutionary Game Theory with Survival Analysis and Agreement Algorithms for Modeling Uncertainty, Vulnerability, and Deception. AICI Zhanshan (Sam) Ma
2008	A	`conf`	Dynamic hybrid fault models and the applications to wireless sensor networks (WSNs). MSWiM Zhanshan (Sam) Ma, Axel W. Krings
2008	Misc	`conf`	Dynamic populations in genetic algorithms. SAC Zhanshan (Sam) Ma, Axel W. Krings
2008	—	`conf`	Insect Population Inspired Wireless Sensor Networks: A Unified Architecture with Survival Analysis, Evolutionary Game Theory, and Hybrid Fault Models. BMEI (2) Zhanshan (Sam) Ma, Axel W. Krings
2008	—	`conf`	Insect Sensory Systems Inspired Communications and Computing (II): An Engineering Perspective. BIOSIGNALS (1) Zhanshan (Sam) Ma, Axel W. Krings, Robert E. Hiromoto
2008	—	`conf`	Multivariate Survival Analysis (II): An Overview of Multi-State Models in Biomedicine and Engineering Reliability. BMEI (1) Zhanshan (Sam) Ma, Axel W. Krings, Robert E. Hiromoto
2008	A*	`conf`	Spatial Distribution Patterns, Power Law, and the Agent-based Directed Diffusion Sensor Networks. PerCom Zhanshan (Sam) Ma, Axel W. Krings
2008	—	`conf`	Survival Analysis Modeling of Phylogenetic and Coalescent Trees. BMEI (1) Zhanshan (Sam) Ma, Axel W. Krings

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.