Ulrich Egert - RankMe

12 papers B 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Adaptive Control of Sinusoidal Optogenetic Stimulation. NER Diego M. Vieira, Antje Kilias, Moritz Diehl, Carola A. Haas, Ulrich Egert
2019	J	`jnl`	Adaptive long-term control of biological neural networks with Deep Reinforcement Learning. Neurocomputing Jan M. Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
2018	B	`conf`	Controlling biological neural networks with deep reinforcement learning. ESANN Jan Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
2016	J	`jnl`	Autonomous Optimization of Targeted Stimulation of Neuronal Networks. PLoS Comput. Biol. Sreedhar S. Kumar, Jan Wülfing, Samora Okujeni, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
2015	—	`conf`	Accurate neuronal tracing of microelectrodes based on PEDOT-dye coatings. NER Stefanie Heizmann, Antje Kilias, Samora Okujeni, Christian Böhler, Patrick Ruther, Ulrich Egert, Maria Asplund
2011	B	`conf`	Increased robustness and intermittent dynamics in structured Reservoir Networks with feedback. ESANN Sarah Jarvis, Stefan Rotter, Ulrich Egert
2010	J	`jnl`	Extending Stability Through Hierarchical Clusters in Echo State Networks. Frontiers Neuroinformatics Sarah Jarvis, Stefan Rotter, Ulrich Egert
2010	J	`jnl`	Functional identification of biological neural networks using reservoir adaptation for point processes. J. Comput. Neurosci. Tayfun Gürel, Stefan Rotter, Ulrich Egert
2010	J	`jnl`	Self-Organized Criticality in Developing Neuronal Networks. PLoS Comput. Biol. Christian Tetzlaff, Samora Okujeni, Ulrich Egert, Florentin Wörgötter, Markus Butz
2008	J	`jnl`	FIND - A unified framework for neural data analysis. Neural Networks Ralph Meier, Ulrich Egert, Ad Aertsen, Martin P. Nawrot
2007	B	`conf`	Predicting Spike Activity in Neuronal Cultures. IJCNN Tayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter
2007	J	`jnl`	Short-term changes in bilateral hippocampal coherence precede epileptiform events. NeuroImage Ralph Meier, Ute Häussler, Ad Aertsen, Colin Deransart, Antoine Depaulis, Ulrich Egert

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.