L. Gwenn Volkert

17 papers A 1B 3C 6Journal 3Unranked 3

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	srcDiff: A syntactic differencing approach to improve the understandability of deltas. J. Softw. Evol. Process. Michael John Decker, Michael L. Collard, L. Gwenn Volkert, Jonathan I. Maletic
2012	—	`conf`	Feature selections using AdaBoost: Application in gene-gene interaction detection. BIBM Workshops Amin Assareh, L. Gwenn Volkert, Jing Li
2012	—	`conf`	Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections. ICMLA (1) Amin Assareh, L. Gwenn Volkert, Jing Li
2010	C	`conf`	Evolutionary Selection of Regressional Predictors to Enhance the Performance of Microfossil-Based Paleotemperture Proxies. ICMLA Amin Assareh, L. Gwenn Volkert, Joseph D. Ortiz
2009	C	`conf`	Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis. CIBCB Amin Assareh, L. Gwenn Volkert
2008	J	`jnl`	2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2007) [Conference Reports]. IEEE Comput. Intell. Mag. L. Gwenn Volkert
2008	—	`conf`	A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification. EvoBIO Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Volkert
2008	C	`conf`	Exploring chaos automata for protein sequences. CIBCB Deborah Stoffer, L. Gwenn Volkert
2007	—	`ed.`	Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings PRIB Jagath C. Rajapakse, Bertil Schmidt, L. Gwenn Volkert
2006	B	`conf`	Investigating EA Based Training of HMM using a Sequential Parameter Optimization Approach. IEEE Congress on Evolutionary Computation L. Gwenn Volkert
2005	C	`conf`	A Neural Network for Predicting Protein Disorder using Amino Acid Hydropathy Values. CIBCB Deborah Stoffer, L. Gwenn Volkert
2005	A	`conf`	Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones. GECCO Andrew M. Sutton, Huzefa H. Kagdi, Jonathan I. Maletic, L. Gwenn Volkert
2004	C	`conf`	A comparison of sequence alignment algorithms for measuring secondary structure similarity. CIBCB L. Gwenn Volkert, Deborah Stoffer
2004	C	`conf`	An efficient method for fuzzy identification of regulatory events in gene expression time series data. CIBCB L. Gwenn Volkert, Nawar Malhis
2002	B	`conf`	Levels of adaptation: insights into survival in dynamic environments. IEEE Congress on Evolutionary Computation L. Gwenn Volkert
2000	B	`conf`	Equifinality versus evolutionary fragility: the role of collective weak interactions. CEC L. Gwenn Volkert, Michael Conrad
1997	J	`jnl`	The effect of weak interactions on the structure of adaptive surfaces. Soft Comput. L. Gwenn Volkert, Michael Conrad

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.