Elizabeth C. Behrman

26 papers B 5Misc 2Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Robust and Scalable Quantum Repeaters Using Machine Learning. Inf. Diego Fuentealba, Jackson Dahn, James Edward Steck, Elizabeth C. Behrman
2022	J	`jnl`	Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. IEEE Trans. Neural Networks Learn. Syst. Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth C. Behrman
2021	J	`jnl`	Quantum circuit representation of Bayesian networks. Expert Syst. Appl. Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. CoRR Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman
2020	Misc	`conf`	A non-algorithmic approach to "programming" quantum computers via machine learning. QCE Nathan L. Thompson, James Edward Steck, Elizabeth C. Behrman
2020	J	`jnl`	Benchmarking Neural Networks For Quantum Computations. IEEE Trans. Neural Networks Learn. Syst. Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck
2020	Misc	`conf`	Experimental evaluation of quantum Bayesian networks on IBM QX hardware. QCE Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Experimental evaluation of quantum Bayesian networks on IBM QX hardware. CoRR Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Experimental pairwise entanglement estimation for an N-qubit system. Quantum Inf. Process. Nathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Quantum circuit representation of Bayesian networks. CoRR Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2017	B	`conf`	Biologically motivated quantum neural networks. SMC James Edward Steck, Elizabeth C. Behrman
2017	J	`jnl`	Learning quantum annealing. Quantum Inf. Comput. Elizabeth C. Behrman, James Edward Steck, Mohamed A. Moustafa
2017	B	`conf`	Programming quantum annealing computers using machine learning. SMC Elizabeth C. Behrman, James Edward Steck
2014	J	`jnl`	On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Elizabeth C. Behrman, Richard E. F. Bonde, James Edward Steck, Joanna F. Behrman
2013	—	`conf`	A quantum neural network computes its own relative phase. SIS Elizabeth C. Behrman, James Edward Steck
2013	J	`jnl`	Multiqubit entanglement of a general input state. Quantum Inf. Comput. Elizabeth C. Behrman, James Edward Steck
2011	—	`conf`	Dynamic learning of pairwise and three-way entanglement. NaBIC Elizabeth C. Behrman, James Edward Steck
2008	—	`ch.`	Quantum Simulataneous Recurrent Networks for Content Addressable Memory. Quantum Inspired Intelligent Systems Raheel Allauddin, Stuart Boehmer, Elizabeth C. Behrman, Kavitha Gaddam, James Edward Steck
2008	J	`jnl`	Quantum algorithm design using dynamic learning. Quantum Inf. Comput. Elizabeth C. Behrman, James Edward Steck, Prem Kumar, K. A. Walsh
2006	B	`conf`	Towards the Dynamic Learning of an Experimental Entanglement Witness. IEEE Congress on Evolutionary Computation Elizabeth C. Behrman, James Edward Steck, Preethika K. Gagnebin, Steven R. Skinner
2000	J	`jnl`	Reinforcement and backpropagation training for an optical neural network using self-lensing effects. IEEE Trans. Neural Networks Learn. Syst. Alvaro A. Cruz-Cabrara, Mingtao Yang, Guoqi Cui, Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner
2000	J	`jnl`	Simulations of quantum neural networks. Inf. Sci. Elizabeth C. Behrman, L. R. Nash, James Edward Steck, V. G. Chandrashekar, Steven R. Skinner
1999	B	`conf`	A spatial quantum neural computer. IJCNN Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner
1999	B	`conf`	Optical hardware backpropagation neural network. IJCNN Steven R. Skinner, James Edward Steck, Alvaro A. Cruz-Cabrara, Mingtao Yang, Elizabeth C. Behrman
1994	—	`conf`	A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. NIPS James Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman

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.