Adilson E. Motter

43 papers Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Distributed Lyapunov Functions for Nonlinear Networks. CoRR Yiming Wang, Arthur N. Montanari, Adilson E. Motter
2025	J	`jnl`	Distributed Lyapunov Functions for Nonlinear Networks. IEEE Control. Syst. Lett. Yiming Wang, Arthur N. Montanari, Adilson E. Motter
2025	J	`jnl`	Duality Between Controllability and Observability for Target Control and Estimation in Networks. IEEE Trans. Autom. Control. Arthur N. Montanari, Chao Duan, Adilson E. Motter
2025	—	`conf`	Global Optimization Through Heterogeneous Oscillator Ising Machines. CDC Ahmed Allibhoy, Arthur N. Montanari, Fabio Pasqualetti, Adilson E. Motter
2025	J	`jnl`	Global network control from local information. CoRR Aleksandar Haber, Ferenc Molnár, Adilson E. Motter
2025	J	`jnl`	Grid congestion stymies climate benefit from U.S. vehicle electrification. CoRR Chao Duan, Adilson E. Motter
2025	J	`jnl`	On the Popov-Belevitch-Hautus tests for functional observability and output controllability. Autom. Arthur N. Montanari, Chao Duan, Adilson E. Motter
2025	J	`jnl`	Optimal flock formation induced by agent heterogeneity. CoRR Arthur N. Montanari, Ana Elisa D. Barioni, Chao Duan, Adilson E. Motter
2024	J	`jnl`	Cell reprogramming design by transfer learning of functional transcriptional networks. CoRR Thomas P. Wytock, Adilson E. Motter
2024	J	`jnl`	Duality between controllability and observability for target control and estimation in networks. CoRR Arthur N. Montanari, Chao Duan, Adilson E. Motter
2024	J	`jnl`	On the Popov-Belevitch-Hautus tests for functional observability and output controllability. CoRR Arthur N. Montanari, Chao Duan, Adilson E. Motter
2023	J	`jnl`	Target Controllability and Target Observability of Structured Network Systems. CoRR Arthur N. Montanari, Chao Duan, Adilson E. Motter
2023	J	`jnl`	Target Controllability and Target Observability of Structured Network Systems. IEEE Control. Syst. Lett. Arthur N. Montanari, Chao Duan, Adilson E. Motter
2022	J	`jnl`	Functional observability and target state estimation in large-scale networks. CoRR Arthur N. Montanari, Chao Duan, Luis Antonio Aguirre, Adilson E. Motter
2022	J	`jnl`	Network structural origin of instabilities in large complex systems. CoRR Chao Duan, Takashi Nishikawa, Deniz Eroglu, Adilson E. Motter
2022	J	`jnl`	Prevalence and scalable control of localized networks. CoRR Chao Duan, Takashi Nishikawa, Adilson E. Motter
2021	J	`jnl`	Asymmetry underlies stability in power grids. CoRR Ferenc Molnár, Takashi Nishikawa, Adilson E. Motter
2021	J	`jnl`	Hierarchical Power Flow Control in Smart Grids: Enhancing Rotor Angle and Frequency Stability with Demand-Side Flexibility. CoRR Chao Duan, Pratyush Chakraborty, Takashi Nishikawa, Adilson E. Motter
2021	J	`jnl`	Hierarchical Power Flow Control in Smart Grids: Enhancing Rotor Angle and Frequency Stability with Demand-Side Flexibility. IEEE Trans. Control. Netw. Syst. Chao Duan, Pratyush Chakraborty, Takashi Nishikawa, Adilson E. Motter
2021	J	`jnl`	Practical Challenges in Real-Time Demand Response. IEEE Trans. Smart Grid Chao Duan, Guna R. Bharati, Pratyush Chakraborty, Bo Chen, Takashi Nishikawa, Adilson E. Motter
2021	J	`jnl`	Practical Challenges in Real-time Demand Response. CoRR Chao Duan, Guna R. Bharati, Pratyush Chakraborty, Bo Chen, Takashi Nishikawa, Adilson E. Motter
2020	J	`jnl`	Distinguishing Cell Phenotype Using Cell Epigenotype. CoRR Thomas P. Wytock, Adilson E. Motter
2020	J	`jnl`	Symmetry-Independent Stability Analysis of Synchronization Patterns. SIAM Rev. Yuanzhao Zhang, Adilson E. Motter
2020	J	`jnl`	Why Are U.S. Parties So Polarized? A "Satisficing" Dynamical Model. SIAM Rev. Vicky Chuqiao Yang, Daniel M. Abrams, Georgia Kernell, Adilson E. Motter
2018	J	`jnl`	Antagonistic Phenomena in Network Dynamics. CoRR Adilson E. Motter, Marc Timme
2018	J	`jnl`	Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks. CoRR Réka Albert, John Baillieul, Adilson E. Motter
2018	J	`jnl`	Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks. IEEE Trans. Control. Netw. Syst. Réka Albert, John Baillieul, Adilson E. Motter
2018	J	`jnl`	Small vulnerable sets determine large network cascades in power grids. CoRR Yang Yang, Takashi Nishikawa, Adilson E. Motter
2018	J	`jnl`	State Observation and Sensor Selection for Nonlinear Networks. IEEE Trans. Control. Netw. Syst. Aleksandar Haber, Ferenc Molnár, Adilson E. Motter
2017	J	`jnl`	State observation and sensor selection for nonlinear networks. CoRR Aleksandar Haber, Ferenc Molnár, Adilson E. Motter
2017	J	`jnl`	Vulnerability and co-susceptibility determine the size of network cascades. CoRR Yang Yang, Takashi Nishikawa, Adilson E. Motter
2013	J	`jnl`	Identifying trends in word frequency dynamics CoRR Eduardo G. Altmann, Zakary L. Whichard, Adilson E. Motter
2013	J	`jnl`	NECO - A scalable algorithm for NEtwork COntrol. CoRR Sean P. Cornelius, Adilson E. Motter
2012	J	`jnl`	Networks in Motion CoRR Adilson E. Motter, Réka Albert
2011	J	`jnl`	Controlling Complex Networks with Compensatory Perturbations CoRR Sean P. Cornelius, William L. Kath, Adilson E. Motter
2011	J	`jnl`	Discovering Network Structure Beyond Communities CoRR Takashi Nishikawa, Adilson E. Motter
2010	J	`jnl`	Niche as a determinant of word fate in online groups CoRR Eduardo G. Altmann, Janet B. Pierrehumbert, Adilson E. Motter
2009	J	`jnl`	A Poissonian explanation for heavy-tails in e-mail communication CoRR R. Dean Malmgren, Daniel B. Stouffer, Adilson E. Motter, Luís A. Nunes Amaral
2009	J	`jnl`	Beyond word frequency: Bursts, lulls, and scaling in the temporal distributions of words CoRR Eduardo G. Altmann, Janet B. Pierrehumbert, Adilson E. Motter
2008	J	`jnl`	Spontaneous Reaction Silencing in Metabolic Optimization. PLoS Comput. Biol. Takashi Nishikawa, Natali Gulbahce, Adilson E. Motter
2007	—	`conf`	Stochastic Model for Power Grid Dynamics. HICSS Marian Anghel, Kenneth A. Werley, Adilson E. Motter
2006	J	`jnl`	Stochastic Model for Power Grid Dynamics CoRR Marian Anghel, Kenneth A. Werley, Adilson E. Motter
2003	J	`jnl`	Signatures of small-world and scale-free properties in large computer programs CoRR Alessandro P. S. de Moura, Ying-Cheng Lai, Adilson E. Motter

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.