Georgios Panagopoulos

19 papers A* 1A 4B 2C 2Journal 4Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	28 GHz Low-Phase Noise QVCO in 22nm FD-SOI Using Back-Gate Coupling. MOCAST Georgios Panagopoulos, Vasileios Chondrorizos, Vasileios Manouras, Yannis Papananos
2025	—	`conf`	A 4.8ps Resolution, PVT-insensitive Vernier-based TDC using switched-RO PLL and Back Gate Calibration. ISVLSI Patroklos Pazionis, Andreas Tsimpos, Gerasimos Theodoratos, Georgios Panagopoulos
2025	J	`jnl`	Design and Optimization of Mixed-Kernel Mixed-Signal SVMs for Flexible Electronics. CoRR Florentia Afentaki, Maha Shatta, Konstantinos Balaskas, Georgios Panagopoulos, Georgios Zervakis, Mehdi B. Tahoori
2025	A	`conf`	Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge. ICCAD Maha Shatta, Konstantinos Balaskas, Paula Carolina Lozano Duarte, Georgios Panagopoulos, Mehdi B. Tahoori, Georgios Zervakis
2025	J	`jnl`	Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge. CoRR Maha Shatta, Konstantinos Balaskas, Paula Carolina Lozano Duarte, Georgios Panagopoulos, Mehdi B. Tahoori, Georgios Zervakis
2022	—	`—`	Learning Influence Representations : Methods and Applciations. (Apprentissage des représentations d'influence : méthodes et applications). Georgios Panagopoulos
2018	—	`conf`	A 40nW, Sub-IV Truly 'Digital' Reverse Bandgap Reference Using Bulk-Diodes in 16nm FinFET. A-SSCC Matthias Eberlein, Georgios Panagopoulos, Harald Pretl
2014	J	`jnl`	Multi-level wordline driver for robust SRAM design in nano-scale CMOS technology. Microelectron. J. Farshad Moradi, Georgios Panagopoulos, Georgios Karakonstantis, Hooman Farkhani, Dag T. Wisland, Jens Kargaard Madsen, Hamid Mahmoodi, Kaushik Roy
2013	C	`conf`	Challenges of RF and mixed signal design under process variability. IOLTS Georgios Panagopoulos, Phillipp Riess, Peter Baumgartner
2012	A	`conf`	A framework for simulating hybrid MTJ/CMOS circuits: Atoms to system approach. DATE Georgios Panagopoulos, Charles Augustine, Kaushik Roy
2012	A*	`conf`	Cognitive computing with spin-based neural networks. DAC Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy
2012	J	`jnl`	Proposal For Neuromorphic Hardware Using Spin Devices CoRR Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy
2012	B	`conf`	Spin based neuron-synapse module for ultra low power programmable computational networks. IJCNN Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy
2012	—	`conf`	Ultra low energy analog image processing using spin based neurons. NANOARCH Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy
2012	A	`conf`	Write-optimized reliable design of STT MRAM. ISLPED Yusung Kim, Sumeet Kumar Gupta, Sang Phill Park, Georgios Panagopoulos, Kaushik Roy
2011	—	`conf`	Low-power functionality enhanced computation architecture using spin-based devices. NANOARCH Charles Augustine, Georgios Panagopoulos, Behtash Behin-Aein, Srikant Srinivasan, Angik Sarkar, Kaushik Roy
2011	C	`conf`	Multi-level wordline driver for low power SRAMs in nano-scale CMOS technology. ICCD Farshad Moradi, Georgios Panagopoulos, Georgios Karakonstantis, Dag T. Wisland, Hamid Mahmoodi, Jens Kargaard Madsen, Kaushik Roy
2010	A	`conf`	HERQULES: system level cross-layer design exploration for efficient energy-quality trade-offs. ISLPED Georgios Karakonstantis, Georgios Panagopoulos, Kaushik Roy
2010	B	`conf`	Parametric failure analysis of embedded SRAMs using fast & accurate dynamic analysis. ETS Elena I. Vatajelu, Georgios Panagopoulos, Kaushik Roy, Joan Figueras

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.