Elishai Ezra Tsur

31 papers B 6Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Editorial: Brain-inspired autonomous driving. Frontiers Neurorobotics Elishai Ezra Tsur, Gianluca Di Flumeri, Hadar Cohen Duwek
2025	B	`conf`	Feedback-correcting ConvLSTM-driven Neural Model for Stable Saccadic Visual Perception. CogSci Hadar Cohen Duwek, Yisrael Clark, Elishai Ezra Tsur
2024	J	`jnl`	Continuous adaptive nonlinear model predictive control using spiking neural networks and real-time learning. Neuromorph. Comput. Eng. Raz Halaly, Elishai Ezra Tsur
2024	—	`conf`	ED-DCFNet: an unsupervised encoder-decoder neural model for event-driven feature extraction and object tracking. CVPR Workshops Raz Ramon, Hadar Cohen Duwek, Elishai Ezra Tsur
2024	J	`jnl`	Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review. Robotics Elishai Ezra Tsur, Odelia Elkana
2024	B	`conf`	Reconstruction of visually stable perception from saccadic retinal inputs using corollary discharge signals-driven convLSTM neural networks. CogSci Yahia Showgan, Hadar Cohen Duwek, Elishai Ezra Tsur
2023	J	`jnl`	Autonomous driving controllers with neuromorphic spiking neural networks. Frontiers Neurorobotics Raz Halaly, Elishai Ezra Tsur
2023	B	`conf`	Perceptual colorization of the peripheral retinotopic visual field using adversarially-optimized neural networks. CogSci Hadar Cohen Duwek, Yahia Showgan, Elishai Ezra Tsur
2023	—	`conf`	Style Transfer of Modern Hebrew Literature Using Text Simplification and Generative Language Modeling. CHR Pavel Kaganovich, Ophir Münz-Manor, Elishai Ezra Tsur
2023	B	`conf`	Unsupervised Style Transfer of Modern Hebrew using Generative Language Modeling and Zero-Shot Prompting. IEEE Big Data Pavel Kaganovich, Ophir Münz-Manor, Elishai Ezra Tsur
2022	—	`conf`	Adaptive Attention with a Neuromorphic Hybrid Frame and Event-based Camera. ICCI*CC Avinoam Bitton, Hadar Cohen Duwek, Elishai Ezra Tsur
2022	B	`conf`	Biologically Plausible Illusionary Contrast Perception with Spiking Neural Networks. ICIP Hadar Cohen Duwek, Elishai Ezra Tsur
2022	J	`jnl`	Computational modeling of color perception with biologically plausible spiking neural networks. PLoS Comput. Biol. Hadar Cohen Duwek, Hamutal Slovin, Elishai Ezra Tsur
2022	J	`jnl`	Data-driven artificial and spiking neural networks for inverse kinematics in neurorobotics. Patterns Alex Volinski, Yuval Zaidel, Albert Shalumov, Travis DeWolf, Lazar Supic, Elishai Ezra Tsur
2022	—	`conf`	Neuromorphic Analog Implementation of Reservoir Computing for Machine Learning. ICECS 2022 Avi Hazan, Elishai Ezra Tsur
2022	J	`jnl`	Walking on the thin intersectional lines of disciplines. Patterns Elishai Ezra Tsur, Travis DeWolf, Lazar Supic
2021	—	`conf`	3D Object Tracking with Neuromorphic Event Cameras via Image Reconstruction. BioCAS Hadar Cohen Duwek, Avinoam Bitton, Elishai Ezra Tsur
2021	B	`conf`	Biologically Plausible Spiking Neural Networks for Perceptual Filling-In. CogSci Hadar Cohen Duwek, Elishai Ezra Tsur
2021	—	`conf`	Image Reconstruction From Neuromorphic Event Cameras Using Laplacian-Prediction and Poisson Integration With Spiking and Artificial Neural Networks. CVPR Workshops Hadar Cohen Duwek, Albert Shalumov, Elishai Ezra Tsur
2021	—	`conf`	Neuromorphic Adaptive Body Leveling in a Bioinspired Hexapod Walking Robot. BioCAS Michael Ehrlich, Elishai Ezra Tsur
2021	J	`jnl`	Neuromorphic NEF-Based Inverse Kinematics and PID Control. Frontiers Neurorobotics Yuval Zaidel, Albert Shalumov, Alex Volinski, Lazar Supic, Elishai Ezra Tsur
2021	—	`conf`	Neuromorphic Spike Timing Dependent Plasticity with adaptive OZ Spiking Neurons. BioCAS Avi Hazan, Elishai Ezra Tsur
2021	J	`jnl`	Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity. PLoS Comput. Biol. Elishai Ezra Tsur, Oren Amsalem, Lea Ankri, Pritish Patil, Idan Segev, Michal Rivlin-Etzion
2020	J	`jnl`	Neuromorphic implementation of motion detection using oscillation interference. Neurocomputing Elishai Ezra Tsur, Michal Rivlin-Etzion
2018	—	`conf`	Code Generation of Graph-Based Vision Processing for Multiple CUDA Cores SoC Jetson TX. MCSoC Elishai Ezra Tsur, Elyassaf Madar, Natan Danan
2018	J	`jnl`	Computer-aided design of resistance micro-fluidic circuits for 3D printing. Comput. Aided Des. Elishai Ezra Tsur, Ariel Shamir
2018	J	`jnl`	Delivering the fundamentals of software architecture, design and abstraction by developing a ray tracer for 3-dimensional graphical scenes. Comput. Appl. Eng. Educ. Elishai Ezra Tsur
2018	J	`jnl`	Distributed retrieval engine for the development of cloud-deployed biological databases. BioData Min. David Bouzaglo, Israel Chasida, Elishai Ezra Tsur
2017	J	`jnl`	Computer Aided Design of a Microscale Digitally Controlled Hydraulic Resistor. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Elishai Ezra Tsur
2017	J	`jnl`	Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfaces. BioData Min. Elishai Ezra Tsur
2016	J	`jnl`	OpenVX-Based Python Framework for Real-time Cross-Platform Acceleration of Embedded Computer Vision Applications. Frontiers ICT Ori Heimlich, Elishai Ezra Tsur

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.