Georgios D. Kontes

19 papers A* 1B 1C 2Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Benchmarking Quantum Reinforcement Learning. ICML Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025	J	`jnl`	Benchmarking Quantum Reinforcement Learning. CoRR Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025	J	`jnl`	Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML. ACM Trans. Evol. Learn. Optim. Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2025	J	`jnl`	Meta-Learning Multi-armed Bandits for Beam Tracking in 5G and 6G Networks. CoRR Alexander Mattick, George Yammine, Georgios D. Kontes, Setareh Maghsudi, Christopher Mutschler
2025	—	`conf`	Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on Microcontrollers. GECCO Companion Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2025	J	`jnl`	Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks. CoRR Georgios D. Kontes, Diomidis S. Michalopoulos, Birendra Ghimire, Christopher Mutschler
2024	J	`jnl`	5G Positioning Advancements with AI/ML. CoRR Mohammad Alawieh, Georgios D. Kontes
2023	J	`jnl`	Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks. CoRR Mark Deutel, Georgios D. Kontes, Christopher Mutschler, Jürgen Teich
2023	J	`jnl`	C-MCTS: Safe Planning with Monte Carlo Tree Search. CoRR Dinesh Parthasarathy, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2023	B	`conf`	Efficient Beam Search for Initial Access Using Collaborative Filtering. WCNC George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
2022	J	`jnl`	Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving. CoRR Sebastian Rietsch, Shih-Yuan Huang, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2022	J	`jnl`	Efficient Beam Search for Initial Access Using Collaborative Filtering. CoRR George Yammine, Georgios D. Kontes, Norbert Franke, Axel Plinge, Christopher Mutschler
2021	C	`conf`	Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning. IV Lukas M. Schmidt, Georgios D. Kontes, Axel Plinge, Christopher Mutschler
2020	—	`conf`	High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles. ITSC Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler
2016	J	`jnl`	Sense-Think-Act Framework for Intelligent Building Energy Management. Comput. Aided Civ. Infrastructure Eng. K. I. Katsigarakis, Georgios D. Kontes, Georgios I. Giannakis, Dimitrios Rovas
2012	C	`conf`	Adaptive-fine tuning of building energy management systems using co-simulation. CCA Georgios D. Kontes, Georgios I. Giannakis, Elias B. Kosmatopoulos, Dimitrios Rovas
2011	—	`conf`	Simulation-assisted building energy performance improvement using sensible control decisions. BuildSys@SenSys Martin Felix Pichler, Angela Dröscher, Hermann Schranzhofer, Georgios D. Kontes, Georgios I. Giannakis, Elias B. Kosmatopoulos, Dimitrios Rovas
2009	J	`jnl`	Learning model-free robot control by a Monte Carlo EM algorithm. Auton. Robots Nikos Vlassis, Marc Toussaint, Georgios D. Kontes, Savas Piperidis
2007	—	`conf`	Coordinated Team Play in the Four-Legged RoboCup League. ICTAI (1) Georgios D. Kontes, Michail G. Lagoudakis

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.