George Georgiev

20 papers B 5C 1Misc 5Journal 2Unranked 7

Year	Rank	Type	Title / Venue / Authors
2016	B	`conf`	Fuzzyfication of principle component analysis for data dimensionalty reduction. FUZZ-IEEE Natacha Gueorguieva, Iren Valova, George Georgiev
2015	C	`conf`	Feature Selection Using Gustafson-Kessel Fuzzy Algorithm in High Dimension Data Clustering. ICMLA George Georgiev, Natacha Gueorguieva, Matthew Chiappa, Austin Krauza
2014	—	`conf`	Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics. Complex Adaptive Systems George Georgiev, Iren Valova, Natacha Gueorguieva, David Brady
2013	—	`conf`	Biologically Inspired Olfactory Learning Architecture. Complex Adaptive Systems George Georgiev, Mrinal Gosavi, Iren Valova, Natacha Gueorguieva
2013	—	`conf`	Initialization Issues in Self-organizing Maps. Complex Adaptive Systems Iren Valova, George Georgiev, Natacha Gueorguieva, Jacob Olson
2012	—	`conf`	QRS Complex Detector Implementing Orthonormal Functions. Complex Adaptive Systems George Georgiev, Iren Valova, Natacha Gueorguieva, Leo Lei
2012	—	`conf`	Simulating Voltage-Gated Na and K Ion Channel Kinetics Using Hodgkin- Huxley Mode. Complex Adaptive Systems Iren Valova, Natacha Gueorguieva, George Georgiev
2011	—	`conf`	Feature Selection for Multiclass Problems Based on Information Weights. Complex Adaptive Systems George Georgiev, Iren Valova, Natacha Gueorguieva
2010	J	`jnl`	POFGEC: growing neural network of classifying potential function generators. Int. J. Knowl. Eng. Soft Data Paradigms Natacha Gueorguieva, Iren Valova, George Georgiev
2006	J	`jnl`	Learning and data clustering with an RBF-based spiking neuron network. J. Exp. Theor. Artif. Intell. Natacha Gueorguieva, Iren Valova, George Georgiev
2005	B	`conf`	Growing radial basis neural networks with potential function generators. SMC Iren Valova, George Georgiev, Natacha Gueorguieva
2005	B	`conf`	Modeling weakly connected networks of neural oscillators with spiking neurons. SMC Iren Valova, Natacha Gueorguieva, George Georgiev
2004	Misc	`conf`	A Spiking Neuron Model of Olfactory Bulb Dynamics. IC-AI Natacha Gueorguieva, George Georgiev, Iren Valova
2004	Misc	`conf`	Coding and Computations with Spiking Neural Networks. IC-AI George Georgiev, Iren Valova, Natacha Gueorguieva, Kiril Tchimev
2003	Misc	`conf`	Facial Expression Recognition Using Feedforward Neural Networks. IC-AI Natacha Gueorguieva, George Georgiev, Iren Valova
2003	Misc	`conf`	Multilayer Feedforward Neural Network for Image Feature Extraction Using Independent Component Analysis. IC-AI Natacha Gueorguieva, ChiWai Kong, George Georgiev
2003	B	`conf`	Synthesis of models for receptive field dynamics and synaptic transmission using spiking neurons. SMC George Georgiev, Plamen Tchimev
2002	Misc	`conf`	Oscillatory Responses in Pre-Cortex Model of Olfactory System. IC-AI Iren Valova, Natacha Gueorguieva, George Georgiev
2001	B	`conf`	Odor information processing in human-oscillatory model. SMC George Georgiev, Natacha Gueorguieva, Plamen Tchimev, Iren Valova
2000	—	`conf`	A Neural Network Approach to Geographic Image Analysis. SSIAI Plamen Tchimev, Naoya Moritani, George Georgiev, Iren Valova

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.