Lance E. Champagne

16 papers C 1Misc 7Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analogy2kg: An automatic pipeline for deriving knowledge graphs from long-text analogies. Knowl. Based Syst. Kara Combs, Lance E. Champagne, Bruce A. Cox, Christine M. Schubert-Kabban, Trevor Bihl, Grace Lemming
2025	J	`jnl`	Exploring emotion classification of indonesian tweets using large scale transfer learning via IndoBERT. Soc. Netw. Anal. Min. Connor Shaw, Phillip M. LaCasse, Lance E. Champagne
2024	J	`jnl`	A unified digital twin approach incorporating virtual, physical, and prescriptive analytical components to support adaptive real-time decision-making. Comput. Ind. Eng. Ryan Walton, Frank W. Ciarallo, Lance E. Champagne
2024	J	`jnl`	Approaches to improve preprocessing for Latent Dirichlet Allocation topic modeling. Decis. Support Syst. Jamie Zimmermann, Lance E. Champagne, John M. Dickens, Benjamin T. Hazen
2024	C	`conf`	Multi-Objective Multi-Commodity Flow Optimization for Wartime Planning with Cyber-Effects. INOC Alex Hoffendahl, Chancellor Johnstone, Alex Stephens, Richard Dill, Lance E. Champagne
2023	J	`jnl`	A comparison of quaternion neural network backpropagation algorithms. Expert Syst. Appl. Jeremiah Bill, Bruce A. Cox, Lance E. Champagne
2023	—	`ch.`	History of Simulation. Body of Knowledge for Modeling and Simulation Bernard P. Zeigler, Breno Bernard Nicolau de França, Valdemar Vicente Graciano Neto, Raymond R. Hill, Lance E. Champagne, Tuncer I. Ören
2023	Misc	`conf`	Implementing Efficient Dynamic Threat Avoidance Routing Based on Dijkstra's Shortest Path Algorithm in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM). WSC Dante C. Reid, Lance E. Champagne, Nathan B. Gaw
2022	—	`conf`	Bayesian Augmentation of Deep Learning to Improve Video Classification. HICSS Emmie Swize, Lance E. Champagne, Bruce A. Cox, Trevor Bihl
2019	Misc	`conf`	A Simulation Approach to Address Mq-9 Flying Training Unit Manning Shortfalls. WSC Thomas Paul Talafuse, Lance E. Champagne, Erika Gilts
2019	Misc	`conf`	Simulating Maritime Chokepoint Disruption in the Global Food Supply. WSC Ryan Walton, John O. Miller, Lance E. Champagne
2007	Misc	`conf`	Agent-model validation based on historical data. WSC Lance E. Champagne, Raymond R. Hill
2006	J	`jnl`	Using agent-based simulation to empirically examine search theory using a historical case study. J. Simulation Raymond R. Hill, R. Greg Carl, Lance E. Champagne
2005	Misc	`conf`	Simulation validation with historic outcomes. WSC Lance E. Champagne, Raymond R. Hill
2003	Misc	`conf`	Agent models II: Bay of Biscay: extensions into modern military issues. WSC Lance E. Champagne
2003	Misc	`conf`	Agent models II: search theory, agent-based simulation, and U-boats in the Bay of Biscay. WSC Lance E. Champagne, R. Greg Carl, Raymond R. Hill

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.