Benedikt Geiger

14 papers Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Constellation Shaping for OFDM-ISAC Systems: From Theoretical Bounds to Practical Implementation. IEEE Trans. Commun. Benedikt Geiger, Fan Liu, Shihang Lu, Andrej Rode, Daniel Gil Gaviria, Charlotte Muth, Laurent Schmalen
2025	—	`conf`	400 GBd 32QAM Transmission Using RF-Synchronized Dark-Soliton Microcombs for Optical Arbitrary Waveform Generation (OAWG). ECOC H. Peng, Lennart Schmitz, Daniel Drayß, Y. Zheng, Vincent Lauinger, Benedikt Geiger, Y. Xu, D. Fang, Wolfgang Freude, Sebastian Randel, Kresten Yvind, Laurent Schmalen, Minhao Pu, Christian Koos
2025	—	`conf`	A Novel Phenomenological Model of Equalization-enhanced Phase Noise. OFC Benedikt Geiger, Fred Buchali, Vahid Aref, Laurent Schmalen
2025	—	`conf`	A Temporal Gaussian Noise Model for Equalization-Enhanced Phase Noise. ECOC Benedikt Geiger, Fred Buchali, Vahid Aref, Laurent Schmalen
2025	—	`conf`	Joint Optimization of Geometric and Probabilistic Constellation Shaping for OFDM-ISAC Systems. JC&S Benedikt Geiger, Fan Liu, Shihang Lu, Andrej Rode, Laurent Schmalen
2025	J	`jnl`	Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding. IEEE Access Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria, Laurent Schmalen
2025	—	`conf`	On the Sensing Performance of FMCW-based Integrated Sensing and Communications with Arbitrary Constellations. VTC2025-Spring Daniel Gil Gaviria, Benedikt Geiger, Charlotte Muth, Laurent Schmalen
2024	J	`jnl`	Joint Radar and Communications: Architectures, Use Cases, Aspects of Radio Access, Signal Processing, and Hardware. IEEE Access Victor Shatov, Benjamin Nuss, Steffen Schieler, Pradyumna Kumar Bishoyi, Lara Wimmer, Maximilian Lübke, Navid Keshtiarast, Christoph Fischer, Daniel Lindenschmitt, Benedikt Geiger, Reiner S. Thomä, Amina Fellan, Laurent Schmalen, Marina Petrova, Hans D. Schotten, Norman Franchi
2024	—	`conf`	Loss Design for Single-carrier Joint Communication and Neural Network-based Sensing. WSA Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria, Laurent Schmalen
2024	J	`jnl`	On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation. CoRR Benedikt Geiger, Peter J. Park
2024	J	`jnl`	Real-time confinement regime detection in fusion plasmas with convolutional neural networks and high-bandwidth edge fluctuation measurements. Mach. Learn. Sci. Technol. Kevin Gill, David R. Smith, Semin Joung, Benedikt Geiger, George McKee, J. Zimmerman, Ryan N. Coffee, Azarakhsh Jalalvand, Egemen Kolemen
2022	J	`jnl`	End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search. CoRR Andrej Rode, Benedikt Geiger, Shrinivas Chimmalgi, Laurent Schmalen
2022	—	`conf`	Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search. OFC Andrej Rode, Benedikt Geiger, Laurent Schmalen
2021	J	`jnl`	Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search. CoRR Andrej Rode, Benedikt Geiger, Laurent Schmalen

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.