Ramoni Adeogun

52 papers B 10Journal 27Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing OLLA via Exponential Decay for Efficient Link Adaptation in Emerging 6G Traffic. IEEE Access Aritra Mazumdar, Stefano Paris, Abolfazl Amiri, Klaus I. Pedersen, Ramoni Adeogun
2025	J	`jnl`	Attention-Aided Channel Prediction for Efficient Resource Management in Industrial IoT Subnetworks. IEEE Internet Things J. Saeed Hakimi, Gilberto Berardinelli, Ramoni Adeogun
2025	J	`jnl`	Auxiliary Particle Filtering With Multitudinous Lookahead Sampling for Accurate Target Tracking. IEEE Access Praveen Babu Choppala, Ramoni Adeogun
2025	B	`conf`	Boosting XR Capacity Through Multi-Connected XR Tethering Groups With Selection Combining. PIMRC Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa, Ramoni Adeogun
2025	J	`jnl`	Enhancing Multi-Connected XR Device Performance With Soft Combining and Joint HARQ Processing in Cooperative Multicast. IEEE Open J. Commun. Soc. Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa, Ramoni Adeogun
2025	J	`jnl`	Enriched HARQ Feedback for Link Adaptation in 6G: Optimizing Uplink Overhead for Enhanced Downlink Spectral Efficiency. IEEE Access Aritra Mazumdar, Abolfazl Amiri, Stefano Paris, Klaus I. Pedersen, Ramoni Adeogun
2025	J	`jnl`	Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks. CoRR Daniel Abode, Pedro Maia de Sant Ana, Ramoni Adeogun, Alexander Artemenko, Gilberto Berardinelli
2025	J	`jnl`	Goal-Oriented Interference Coordination in 6G In-Factory Subnetworks. IEEE J. Sel. Areas Commun. Daniel Abode, Pedro Maia de Sant Ana, Ramoni Adeogun, Alexander Artemenko, Gilberto Berardinelli
2025	J	`jnl`	Learning Power Control Protocol for In-Factory 6G Subnetworks. CoRR Uyoata E. Uyoata, Gilberto Berardinelli, Ramoni Adeogun
2025	—	`conf`	Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication. EuCNC/6G Summit Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng, Petar Popovski, Ramoni Adeogun
2025	J	`jnl`	Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication. CoRR Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng, Petar Popovski, Ramoni Adeogun
2025	J	`jnl`	Power-Efficient Cooperative Communication Within IIoT Subnetworks: Relay or RIS? IEEE Internet Things J. Hamid Reza Hashempour, Gilberto Berardinelli, Ramoni Adeogun, Eduard A. Jorswieck
2025	J	`jnl`	Resilient DNN for joint sub-band allocation and power control in mobile factory subnetworks. EURASIP J. Wirel. Commun. Netw. Saeed Hakimi, Ramoni Adeogun, Gilberto Berardinelli
2025	—	`conf`	Robust Resource Management for Mission-Critical in-Factory Subnetworks Under External Interference. VTC2025-Spring Saeed Hakimi, K. Pavan Srinath, Saeed Bagherinejad, Ramoni Adeogun, Gilberto Berardinelli
2025	J	`jnl`	Toward Intelligent Fading Channel Prediction: A Comprehensive Survey. IEEE Access Ramoni Adeogun
2024	—	`conf`	A Power Efficient Cooperative Communication Protocol for 6G in-Factory Subnetworks. EuCNC/6G Summit Hamid Reza Hashempour, Gilberto Berardinelli, Ramoni Adeogun
2024	—	`conf`	Communication-Aware Dynamic Speed Control for Interference Mitigation in 6G Mobile Subnetworks. CSCN Daniel Abode, Pedro Maia de Sant Ana, Ramoni Adeogun, Gilberto Berardinelli
2024	—	`conf`	Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems. VTC Fall Daniel Abode, Pedro Maia de Sant Ana, Alexander Artemenko, Ramoni Adeogun, Gilberto Berardinelli
2024	J	`jnl`	Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems. CoRR Daniel Abode, Pedro Maia de Sant Ana, Alexander Artemenko, Ramoni Adeogun, Gilberto Berardinelli
2024	B	`conf`	Cooperative Multicast for Multi-Connected XR Devices with Joint HARQ Processing. PIMRC Muhammad Ahsen, Boyan Yanakiev, Claudio Rosa, Carles Navarro i Manchon, Ramoni Adeogun
2024	B	`conf`	Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks. PIMRC Bjarke Madsen, Ramoni Adeogun
2024	J	`jnl`	Federated Multi-Agent DRL for Radio Resource Management in Industrial 6G in-X subnetworks. CoRR Bjarke Madsen, Ramoni Adeogun
2024	J	`jnl`	Power Control for 6G In-Factory Subnetworks With Partial Channel Information Using Graph Neural Networks. IEEE Open J. Commun. Soc. Daniel Abode, Ramoni Adeogun, Gilberto Berardinelli
2024	—	`conf`	Rate-conforming Sub-band Allocation for In-factory Subnetworks: A Deep Neural Network Approach. EuCNC/6G Summit Saeed Hakimi, Ramoni Adeogun, Gilberto Berardinelli
2024	—	`conf`	Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks. VTC Fall Daniel Abode, Ramoni Adeogun, Lou Salaün, Renato Abreu, Thomas H. Jacobsen, Gilberto Berardinelli
2024	J	`jnl`	Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks. CoRR Daniel Abode, Ramoni Adeogun, Lou Salaün, Renato Abreu, Thomas H. Jacobsen, Gilberto Berardinelli
2023	B	`conf`	Distributed Channel Allocation for Mobile 6G Subnetworks via Multi-Agent Deep Q-Learning. WCNC Ramoni Adeogun, Gilberto Berardinelli
2023	J	`jnl`	Hybrid Radio Resource Management for 6G Subnetwork Crowds. IEEE Commun. Mag. Gilberto Berardinelli, Ramoni Adeogun
2023	J	`jnl`	On the Required Radio Resources for Ultra-Reliable Communication in Highly Interfered Scenarios. IEEE Commun. Lett. Gilberto Berardinelli, Ramoni Adeogun
2023	J	`jnl`	On the required radio resources for ultra-reliable communication in highly interfered scenarios. CoRR Gilberto Berardinelli, Ramoni Adeogun
2023	B	`conf`	Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach. WCNC Daniel Abode, Ramoni Adeogun, Gilberto Berardinelli
2023	B	`conf`	Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless Systems. PIMRC Ramoni Adeogun
2023	J	`jnl`	Unsupervised Deep Unfolded PGD for Transmit Power Allocation in Wireless Systems. CoRR Ramoni Adeogun
2022	J	`jnl`	Enhanced Interference Management for 6G in-X Subnetworks. IEEE Access Ramoni Adeogun, Gilberto Berardinelli, Preben E. Mogensen
2022	J	`jnl`	Multi-Agent Dynamic Resource Allocation in 6G in-X Subnetworks with Limited Sensing Information. Sensors Ramoni Adeogun, Gilberto Berardinelli
2022	J	`jnl`	Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach. CoRR Daniel Abode, Ramoni Adeogun, Gilberto Berardinelli
2022	J	`jnl`	Proactive Dual Connectivity for Automated Guided Vehicles in Outdoor Industrial Environment. IEEE Access Jessica S. Mendoza, István Z. Kovács, Melisa López, Troels B. Sørensen, Ramoni Adeogun, Isabel de la Bandera, Raquel Barco
2021	J	`jnl`	5G Swarm Production: Advanced Industrial Manufacturing Concepts Enabled by Wireless Automation. IEEE Commun. Mag. Ignacio Rodriguez, Rasmus S. Mogensen, Allan Schjørring, Mohammad Razzaghpour, Roberto Maldonado, Gilberto Berardinelli, Ramoni Adeogun, Per H. Christensen, Preben E. Mogensen, Ole Madsen, Charles Møller, Guillermo Pocovi, Troels E. Kolding, Claudio Rosa, Brian Jørgensen, Simone Barbera
2021	—	`conf`	Bayesian Synthetic Likelihood for Calibration of Stochastic Radio Channel Model. VTC Fall Ramoni Adeogun, Claus M. Larsen, Dennis Sand, Holger S. Bovbjerg, Peter K. Fisker, Tor K. Ojerde
2021	—	`conf`	Distributed Deep Reinforcement Learning Resource Allocation Scheme For Industry 4.0 Device-To-Device Scenarios. VTC Fall Jesús Burgueño, Ramoni Adeogun, Rasmus Liborius Bruun, C. Santiago Morejón García, Isabel de la Bandera, Raquel Barco
2021	B	`conf`	Learning to Dynamically Allocate Radio Resources in Mobile 6G in-X Subnetworks. PIMRC Ramoni Adeogun, Gilberto Berardinelli, Preben E. Mogensen
2021	J	`jnl`	Relaying in the Internet of Things (IoT): A Survey. IEEE Access Uyoata Uyoata, Joyce B. Mwangama, Ramoni Adeogun
2021	—	`conf`	Spectrum assignment for industrial radio cells based on selective subgraph constructions. VTC Fall Gilberto Berardinelli, Ramoni Adeogun
2020	—	`conf`	Distributed Dynamic Channel Allocation in 6G in-X Subnetworks for Industrial Automation. GLOBECOM (Workshops) Ramoni Adeogun, Gilberto Berardinelli, Ignacio Rodriguez, Preben Mogensen
2020	—	`conf`	Statistical Characterization of Wireless Interference Signal Based On UWB Spectrum Sensing. VTC Spring Ramoni Adeogun, Gilberto Berardinelli, Preben Elgaard Mogensen, Ignacio Rodriguez
2020	J	`jnl`	Towards 6G in-X Subnetworks With Sub-Millisecond Communication Cycles and Extreme Reliability. IEEE Access Ramoni Adeogun, Gilberto Berardinelli, Preben E. Mogensen, Ignacio Rodriguez, Mohammad Razzaghpour
2019	—	`conf`	Estimator for Stochastic Channel Model without Multipath Extraction using Temporal Moments. SPAWC Ayush Bharti, Ramoni Adeogun, Troels Pedersen
2019	—	`conf`	Indoor Occupancy Detection and Estimation using Machine Learning and Measurements from an IoT LoRa-based Monitoring System. GIoTS Ramoni Adeogun, Ignacio Rodriguez, Mohammad Razzaghpour, Gilberto Berardinelli, Per Hartmann Christensen, Preben Elgaard Mogensen
2019	—	`conf`	Measurement and Analysis of Radio Frequency Interference in the UWB Spectrum. VTC Fall Ramoni Adeogun, Gilberto Berardinelli, Ignacio Rodriguez, Preben Elgaard Mogensen, Mohammad Razzaghpour
2019	B	`conf`	Short-Range UWB Wireless Channel Measurement in Industrial Environments. WiMob Mohammad Razzaghpour, Ramoni Adeogun, Ignacio Rodriguez, Gilberto Berardinelli, Rasmus S. Mogensen, Troels Pedersen, Preben E. Mogensen, Troels B. Sørensen
2018	B	`conf`	Propagation graph based model for polarized multiantenna wireless channels. WCNC Ramoni Adeogun, Troels Pedersen
2018	B	`conf`	Transfer Function Computation for Complex Indoor Channels Using Propagation Graphs. PIMRC Ramoni Adeogun, Troels Pedersen, Ayush Bharti

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.