Georgios Papandroulidakis

15 papers C 6Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hybrid Edge Classifier: Combining TinyML-Optimised CNN With RRAM-CMOS ACAM for Energy-Efficient Inference. IEEE Trans. Knowl. Data Eng. Kieran Woodward, Eiman Kanjo, Georgios Papandroulidakis, Shady Agwa, Themis Prodromakis
2025	J	`jnl`	A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. Georgios Papandroulidakis, Shady Agwa, Ahmet Cirakoglu, Themis Prodromakis
2025	J	`jnl`	A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference. CoRR Kieran Woodward, Eiman Kanjo, Georgios Papandroulidakis, Shady Agwa, Themis Prodromakis
2025	C	`conf`	Live Demonstration: Hardware/Software Co-Design to Exploit RRAM Programmability for Emerging Edge Classification Using ArC TWO. ISCAS Cristian Sestito, Georgios Papandroulidakis, Patrick Foster, Spyros Stathopoulos, Shady Agwa, Themis Prodromakis
2025	J	`jnl`	OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads. CoRR Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis
2025	C	`conf`	RRAM-Based Analogue Artificial Neuron for Gaussian Activation Function Edge Classifier. ISCAS Georgios Papandroulidakis, Shady Agwa, Themis Prodromakis
2024	J	`jnl`	A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge. CoRR Georgios Papandroulidakis, Shady Agwa, Ahmet Cirakoglu, Themis Prodromakis
2023	C	`conf`	A 1T1R+2T Analog Content-Addressable Memory Pixel for Online Template Matching. ISCAS Shady Agwa, Georgios Papandroulidakis, Themis Prodromakis
2019	C	`conf`	A Digital In-Analogue Out Logic Gate Based on Metal-Oxide Memristor Devices. ISCAS Georgios Papandroulidakis, Loukas Michalas, Alexander Serb, Ali Khiat, Geoff V. Merrett, Themistoklis Prodromakis
2019	J	`jnl`	Practical Implementation of Memristor-Based Threshold Logic Gates. IEEE Trans. Circuits Syst. I Regul. Pap. Georgios Papandroulidakis, Alexander Serb, Ali Khiat, Geoff V. Merrett, Themis Prodromakis
2018	C	`conf`	Metal Oxide-enabled Reconfigurable Memristive Threshold Logic Gates. ISCAS Georgios Papandroulidakis, Ali Khiat, Alexander Serb, Spyros Stathopoulos, Loukas Michalas, Themis Prodromakis
2018	J	`jnl`	Practical Implementation of Memristor-Based Threshold Logic Gates. CoRR Georgios Papandroulidakis, Alexantrou Serb, Ali Khiat, Geoff V. Merrett, Themistoklis Prodromakis
2018	C	`conf`	Processing big-data with Memristive Technologies: Splitting the Hyperplane Efficiently. ISCAS Alexander Serb, Georgios Papandroulidakis, Ali Khiat, Themis Prodromakis
2016	J	`jnl`	2T1M-Based Double Memristive Crossbar Architecture for In-Memory Computing. Int. J. Unconv. Comput. Ioannis Vourkas, Georgios Papandroulidakis, Georgios Ch. Sirakoulis, Angel Abusleme
2014	J	`jnl`	Boolean Logic Operations and Computing Circuits Based on Memristors. IEEE Trans. Circuits Syst. II Express Briefs Georgios Papandroulidakis, Ioannis Vourkas, Nikolaos Vasileiadis, Georgios Ch. Sirakoulis

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.