Raimundas Gaigalas

42 papers B 7Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-Driven RAN Management in 6G. IEEE Trans. Netw. Sci. Eng. Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2025	J	`jnl`	Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks. IEEE Wirel. Commun. Han Zhang, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2025	J	`jnl`	Cooperative Hierarchical Deep Reinforcement Learning-Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN. IEEE Trans. Cogn. Commun. Netw. Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2025	J	`jnl`	Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks. IEEE Commun. Mag. Pablo Soldati, Euhanna Ghadimi, Burak Demirel, Yu Wang, Raimundas Gaigalas, Mathias Sintorn
2025	J	`jnl`	Harnessing the Power of LLMs, Informers and Decision Transformers for Intent-driven RAN Management in 6G. CoRR Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2025	J	`jnl`	Intelligent Attacks and Defense Methods in Federated Learning-Enabled Energy-Efficient Wireless Networks. IEEE Trans. Wirel. Commun. Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2025	J	`jnl`	Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks. CoRR Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2025	B	`conf`	LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning. WCNC Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2025	J	`jnl`	Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. IEEE Commun. Mag. Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2025	—	`conf`	Prioritized Value-Decomposition Network for Explainable AI-Enabled Network Slicing. ICC Shavbo Salehi, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2025	J	`jnl`	Prioritized Value-Decomposition Network for Explainable AI-Enabled Network Slicing. CoRR Shavbo Salehi, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Cooperation and Personalization on a Seesaw: Choice-based FL for Safe Cooperation in Wireless Networks. CoRR Han Zhang, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Explainable Multi-Agent Reinforcement Learning for Extended Reality Codec Adaptation. CoRR Pedro Enrique Iturria-Rivera, Raimundas Gaigalas, Medhat H. M. Elsayed, Majid Bavand, Yigit Ozcan, Melike Erol-Kantarci
2024	B	`conf`	Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection. PIMRC Pedro Enrique Iturria-Rivera, Raimundas Gaigalas, Medhat H. M. Elsayed, Majid Bavand, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection. CoRR Pedro Enrique Iturria-Rivera, Raimundas Gaigalas, Medhat H. M. Elsayed, Majid Bavand, Yigit Ozcan, Melike Erol-Kantarci
2024	—	`conf`	Federated Learning with Dual Attention for Robust Modulation Classification under Attacks. ICC Han Zhang, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	—	`conf`	Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. ICC Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning. CoRR Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2024	J	`jnl`	Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2024	J	`jnl`	On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. IEEE Trans. Cogn. Commun. Netw. Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	B	`conf`	Self-Play Ensemble Q-learning enabled Resource Allocation for Network Slicing. GLOBECOM Shavbo Salehi, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Self-Play Ensemble Q-learning enabled Resource Allocation for Network Slicing. CoRR Shavbo Salehi, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. CoRR Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	—	`conf`	Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. ICC Workshops Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2024	J	`jnl`	Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. CoRR Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2023	—	`conf`	Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. ICC Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci
2023	J	`jnl`	Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. CoRR Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci
2023	J	`jnl`	Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet. CoRR Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2023	J	`jnl`	Design Principles for Generalization and Scalability of AI in Communication Systems. CoRR Pablo Soldati, Euhanna Ghadimi, Burak Demirel, Yu Wang, Raimundas Gaigalas, Mathias Sintorn
2023	—	`conf`	Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. GLOBECOM (Workshops) Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control. CoRR Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity. CoRR Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2023	—	`conf`	Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. ICC Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering. CoRR Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	B	`conf`	Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. GLOBECOM Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	B	`conf`	Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. GLOBECOM Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Yigit Ozcan, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci
2023	—	`conf`	Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CCNC Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2023	J	`jnl`	Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2022	B	`conf`	Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity. GLOBECOM Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2022	B	`conf`	Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN. GLOBECOM Hao Zhou, Long Kong, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

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.