A. David Redish

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fundamental Mechanisms of Human Learning. CoRR Scott E. Allen, A. David Redish, René F. Kizilcec
2024	J	`jnl`	A new model of trust based on neural information processing. CoRR Scott E. Allen, René F. Kizilcec, A. David Redish
2023	J	`jnl`	Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting. Neural Networks Shivam Kalhan, Marta I. Garrido, Robert Hester, A. David Redish
2021	J	`jnl`	Global disruption in excitation-inhibition balance can cause localized network dysfunction and Schizophrenia-like context-integration deficits. PLoS Comput. Biol. Olivia L. Calvin, A. David Redish
2005	J	`jnl`	Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model. Neural Networks Adam Johnson, A. David Redish
2004	J	`jnl`	Measuring ensemble consistency without measuring tuning curves. Neurocomputing Jadin C. Jackson, A. David Redish
2000	J	`jnl`	Place cell firing shows an inertia-like process. Neurocomputing A. David Redish, Bruce L. McNaughton, Carol A. Barnes
1999	J	`jnl`	A model of the rodent head direction system that accounts for unique properties of anterior thalamic head direction cells. Neurocomputing Jeremy P. Goodridge, A. David Redish, David S. Touretzky
1998	J	`jnl`	The Role of the Hippocampus in Solving the Morris Water Maze. Neural Comput. A. David Redish, David S. Touretzky
1995	—	`conf`	Modeling Interactions of the Rat's Place and Head Direction Systems. NIPS A. David Redish, David S. Touretzky
1994	J	`jnl`	The reaching task: evidence for vector arithmetic in the motor system? Biol. Cybern. A. David Redish, David S. Touretzky
1993	J	`jnl`	Neural Representation of Space Using Sinusoidal Arrays. Neural Comput. David S. Touretzky, A. David Redish, Hank S. Wan

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.