Patrick Thomas

15 papers A* 1B 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education. AAAI Ba-Thinh Tran-Le, Patrick Thomas, Nicholas M. Stiffler, Thuy Ngoc Nguyen
2025	J	`jnl`	A Machine-Learned "Chemical Intuition" to Overcome Spectroscopic Data Scarcity. J. Chem. Inf. Model. Cailum M. K. Stienstra, Teun van Wieringen, Liam Hebert, Patrick Thomas, Kas J. Houthuijs, Giel Berden, Jos Oomens, Jonathan Martens, W. Scott Hopkins
2024	J	`jnl`	Graphormer-IR: Graph Transformers Predict Experimental IR Spectra Using Highly Specialized Attention. J. Chem. Inf. Model. Cailum M. K. Stienstra, Liam Hebert, Patrick Thomas, Alexander Haack, Jason Guo, W. Scott Hopkins
2024	J	`jnl`	Implementing TD3 to train a Neural Network to fly a Quadcopter through an FPV Gate. CoRR Patrick Thomas, Kevin B. Schroeder, Jonathan T. Black
2022	B	`conf`	A New Analytic Approach to Reduce PAPR in Short-frame OFDM Sensors' Network. GLOBECOM Patrick Thomas, Raouia Masmoudi Ghodhbane, Oscar D'Almeida
2015	J	`jnl`	Inventor team size as a predictor of the future citation impact of patents. Scientometrics Anthony F. Breitzman, Patrick Thomas
2015	—	`conf`	Measuring Tissue Compression: A Circuit for Sensing and Signal Conditioning. ApplePies Sonja Hermann, Patrick Thomas, Richard B. Reilly, Martin J. Burke
2013	—	`conf`	Characterizing Communities of Practice in Emerging Science and Technology Fields. SOCIETY Olga Babko-Malaya, Daniel Hunter, Gregory Amis, Patrick Thomas, Adam Meyers, James Pustejovsky, Marc Verhagen
2013	—	`conf`	Untangling the Web of e-Health: Multiple Sclerosis Patients' Perceptions of Online Health Information, Information Literacy, and the Impact on Treatment Decision Making. HCI (26) Anna L. Langhorne, Patrick Thomas, Laura Kolaczkowski
2012	—	`conf`	Applied Actant-Network Theory: Toward the Automated Detection of Technoscientific Emergence from Full-Text Publications and Patents. AAAI Fall Symposium: Social Networks and Social Contagion David C. Brock, Olga Babko-Malaya, James Pustejovsky, Patrick Thomas, Sean Stromsten, Fotios Barlos
2008	—	`conf`	Holes in Semigroups and Their Applications to the Two-way Common Diagonal Effect Model. ITSL Akimichi Takemura, Patrick Thomas, Ruriko Yoshida
2001	J	`jnl`	A relationship between technology indicators and stock market performance. Scientometrics Patrick Thomas
1990	J	`jnl`	Bericht über die International Joint Conference on Neural Networks '89. Künstliche Intell. Patrick Thomas
1990	J	`jnl`	Beyond Hebb synapses: biological building blocks for unsupervised learning in artificial neural networks Forschungsberichte, TU Munich Patrick Thomas
1990	J	`jnl`	ICNC International Conference on Parallel Processing in Neural Systems and Computers. Künstliche Intell. Patrick Thomas

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.