Adam Safron - RankMe

19 papers Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Increasing Sample Sizes: Optimizing Effect Sizes in Neuroimaging Research on Individual Differences. J. Cogn. Neurosci. Colin G. DeYoung, Kirsten Hilger, Jamie L. Hanson, Rany Abend, Timothy A. Allen, Roger E. Beaty, Scott D. Blain, Robert S. Chavez, Stephen A. Engel, Feilong Ma, Alex Fornito, Erhan Genç, Vina Goghari, Rachael G. Grazioplene, Philipp Homan, Keanan Joyner, Antonia N. Kaczkurkin, Robert D. Latzman, Elizabeth A. Martin, Aki Nikolaidis, Alan Pickering, Adam Safron, Tyler A. Sassenberg, Michelle N. Servaas, Luke D. Smillie, R. Nathan Spreng, Essi Viding, Jan Wacker
2025	J	`jnl`	Relational Norms for Human-AI Cooperation. CoRR Brian D. Earp, Sebastian Porsdam Mann, Mateo Aboy, Edmond Awad, Monika Betzler, Marietjie Botes, Rachel Calcott, Mina Caraccio, Nick Chater, Mark Coeckelbergh, Mihaela Constantinescu, Hossein Dabbagh, Kate Devlin, Xiaojun Ding, Vilius Dranseika, Jim A. C. Everett, Ruiping Fan, Faisal Feroz, Kathryn B. Francis, Cindy Friedman, Orsolya Friedrich, Iason Gabriel, Ivar R. Hannikainen, Julie Hellmann, Arasj Khodadade Jahrome, Niranjan S. Janardhanan, Paulius Jurcys, Andreas Kappes, Maryam Ali Khan, Gordon Kraft-Todd, Maximilian Kroner Dale, Simon M. Laham, Benjamin Lange, Muriel Leuenberger, Jonathan Lewis, Peng Liu, David M. Lyreskog, Matthijs Maas, John McMillan, Emilian Mihailov, Timo Minssen, Joshua Teperowski Monrad, Kathryn Muyskens, Simon Myers, Sven Nyholm, Alexa M. Owen, Anna Puzio, Christopher Register, Madeline G. Reinecke, Adam Safron, Henry Shevlin, Hayate Shimizu, Peter V. Treit, Cristina Voinea, Karen Yan, Anda Zahiu, Renwen Zhang, Hazem Zohny, Walter Sinnott-Armstrong, Ilina Singh, Julian Savulescu, Margaret S. Clark
2025	J	`jnl`	The Contingencies of Physical Embodiment Allow for Open-Endedness and Care. CoRR Leonardo Christov-Moore, Arthur Juliani, Alex Kiefer, Nicco Reggente, B. Scott Rousse, Adam Safron, Nicolás Hinrichs, Daniel Polani, Antonio Damasio
2023	J	`jnl`	Cognitive Science Below the Neck: Toward an Integrative Account of Consciousness in the Body. Cogn. Sci. Leonardo Christov-Moore, Alex Jinich-Diamant, Adam Safron, Caitlin Lynch, Nicco Reggente
2023	J	`jnl`	Editorial: Bio A.I. - from embodied cognition to enactive robotics. Frontiers Neurorobotics Adam Safron, Inês Hipólito, Andy Clark
2023	—	`conf`	Towards Understanding Persons and Their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework. IWAI Adam Safron, Zahra Sheikhbahaee
2022	—	`conf`	AIXI, FEP-AI, and Integrated World Models: Towards a Unified Understanding of Intelligence and Consciousness. IWAI Adam Safron
2022	J	`jnl`	Integrated world modeling theory expanded: Implications for the future of consciousness. Frontiers Comput. Neurosci. Adam Safron
2022	—	`conf`	Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents. IWAI Adam Safron, Zahra Sheikhbahaee, Nick J. Hay, Jeff Orchard, Jesse Hoey
2021	—	`conf`	Dream to Explore: 5-HT2a as Adaptive Temperature Parameter for Sophisticated Affective Inference. PKDD/ECML Workshops (1) Adam Safron, Zahra Sheikhbahaee
2021	J	`jnl`	Dream to Explore: Adaptive Simulations for Autonomous Systems. CoRR Zahra Sheikhbahaee, Dongshu Luo, Blake VanBerlo, S. Alex Yun, Adam Safron, Jesse Hoey
2021	J	`jnl`	Robot navigation as hierarchical active inference. Neural Networks Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron
2021	J	`jnl`	The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again. Entropy Adam Safron
2020	J	`jnl`	An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theories With the Free Energy Principle and Active Inference Framework; Toward Solving the Hard Problem and Characterizing Agentic Causation. Frontiers Artif. Intell. Adam Safron
2020	—	`conf`	Integrated World Modeling Theory (IWMT) Implemented: Towards Reverse Engineering Consciousness with the Free Energy Principle and Active Inference. IWAI Adam Safron
2019	—	`conf`	Integrative Biological Simulation, Neuropsychology, and AI Safety. SafeAI@AAAI Gopal P. Sarma, Adam Safron, Nick J. Hay
2018	—	`conf`	AI Safety and Reproducibility: Establishing Robust Foundations for the Neuropsychology of Human Values. SAFECOMP Workshops Gopal P. Sarma, Nick J. Hay, Adam Safron
2018	J	`jnl`	Integrative Biological Simulation, Neuropsychology, and AI Safety. CoRR Gopal P. Sarma, Adam Safron, Nick J. Hay
2017	J	`jnl`	AI Safety and Reproducibility: Establishing Robust Foundations for the Neuroscience of Human Values. CoRR Gopal P. Sarma, Nick J. Hay, Adam Safron

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.