Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks. - Iacovos Ioannou; Vasos Vassiliou; Christophoros Christophorou; Andreas Pitsillides (IEEE Syst. J., 2020)

Performance Evaluation of Transmission Mode Selection in D2D communication. - Iacovos Ioannou; Christophoros Christophorou; Vasos Vassiliou; Andreas Pitsillides (NTMS, 2021)

5G D2D Transmission Mode Selection Performance & Cluster Limits Evaluation of Distributed Artificial Intelligence and Machine Learning Techniques. - Iacovos Ioannou; Christophoros Christophorou; Vasos Vassiliou; Andreas Pitsillides (CoRR, 2021)

Fuzzy-Logic Based IDS for Detecting Jamming Attacks in Wireless Mesh IoT Networks. - Michael Savva; Iacovos Ioannou; Vasos Vassiliou (MedComNet, 2022)

Dynamic D2D Communication in 5G/6G Using a Distributed AI Framework. - Iacovos Ioannou; Christophoros Christophorou; Vasos Vassiliou; Marios Lestas; Andreas Pitsillides (IEEE Access, 2022)

A distributed AI/ML framework for D2D Transmission Mode Selection in 5G and beyond. - Iacovos Ioannou; Christophoros Christophorou; Vasos Vassiliou; Andreas Pitsillides (Comput. Networks, 2022)

A novel Distributed AI framework with ML for D2D communication in 5G/6G networks. - Iacovos Ioannou; Christophoros Christophorou; Vasos Vassiliou; Andreas Pitsillides (Comput. Networks, 2022)

A security protocol for D2D communications in 5G networks using elliptic curve cryptography. - R. Kishore; Iacovos Ioannou; Christophoros Christophorou; N. Prabagarane; Vasos Vassiliou; S. Vignesh; H. Vinayak; S. Venkatesh; Andreas Pitsillides (Int. J. Inf. Sec., 2022)

ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks. - Christophoros Christophorou; Iacovos Ioannou; Vasos Vassiliou; Loizos Christofi; John S. Vardakas; Erin E. Seder; Carla-Fabiana Chiasserini; Marius Iordache; Chaouki Ben Issaid; Ioannis Markopoulos; Giulio Franzese; Tanel Järvet; et al. (GLOBECOM (Workshops), 2023)

Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou (ICC Workshops, 2023)

Motivating an Agent-based Distributed AI Framework for Renewable Integration: Power Balancing. - Saher Javaid; Iacovos Ioannou; Andreas Pitsillides; Yasuo Tan (ICCE-Taiwan, 2023)

Metacities Excellence Hub: Exploiting Digital Twins and Metaverse Technologies in South-Eastern Europe. - Spyros G. Denazis; Tanya Politi; Evi Faliagka; Christos P. Antonopoulos; Eleni Christopoulou; Christos Tranoris; Didoe Prevedourou; Nikos Kostis; Ioanna Ioannou; Christophoros Christophorou; Iacovos Ioannou; Vasos Vassiliou; et al. (ISC2, 2023)

Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks. - Michael Savva; Iacovos Ioannou; Vasos Vassiliou (MedComNet, 2023)

Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Hassaan Khaliq Qureshi; Adnan Iqbal; Vasos Vassiliou (IEEE Access, 2023)

A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network. - Sella Veluswami Jansi Rani; Iacovos Ioannou; Prabagarane Nagaradjane; Christophoros Christophorou; Vasos Vassiliou; Harshitaa Yarramsetti; Sai Shridhar; L. Mukund Balaji; Andreas Pitsillides (IEEE Access, 2023)

A novel power consumption optimization framework in 5G heterogeneous networks. - Kuna Venkateswararao; Pravati Swain; Shashi Shekhar Jha; Iacovos Ioannou; Andreas Pitsillides (Comput. Networks, 2023)

Detection of DDoS attacks in D2D communications using machine learning approach. - Sella Veluswami Jansi Rani; Iacovos Ioannou; Prabagarane Nagaradjane; Christophoros Christophorou; Vasos Vassiliou; Sai Charan; Sai Prakash; Niel Parekh; Andreas Pitsillides (Comput. Commun., 2023)

Cloud-Based Large Language Models for Enhancing BDIx Agents' Decision-Making in Network Control Emergencies. - Iacovos Ioannou; Christophoros Christophorou; Prabagarane Nagaradjane; Vasos Vassiliou (CAMAD, 2024)

Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning. - Tanveer Ahmad; Xue Jun Li; Muhammad Ashfaq; Michael Savva; Iacovos Ioannou; Vasos Vassiliou (DCOSS-IoT, 2024)

Safety Based Optimal Storage Capacity Sizing for Power System with Renewable Energy Sources. - Saher Javaid; Yuto Lim; Yasuo Tan; Iacovos Ioannou (DCOSS-IoT, 2024)

Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS). - Michael Savva; Iacovos Ioannou; Vasos Vassiliou (DCOSS-IoT, 2024)

Applying an Agent-based Distributed AI Framework to Forecast Power for the Mini-Grid Stability. - Iacovos Ioannou; Saher Javaid; Vasos Vassiliou; Andreas Pitsillides; Yasuo Tan (ICCE-Taiwan, 2024)

Catalyzing Energy Balance: A Comparative Analysis of Optimization Algorithms in the DAI Framework. - Saher Javaid; Iacovos Ioannou; Vasos Vassiliou; Andreas Pitsillides; Yasuo Tan (ICCE-Taiwan, 2024)

Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou (ICT, 2024)

Deep Learning-Aided Channel Estimation for Large Scale Fading Decoding in Massive MIMO Systems. - Iacovos Ioannou; Prabagarane Nagaradjane; Ala' F. Khalifeh; R. Dhivyaharshini; A Harini; Vasos Vassiliou (ICT, 2024)

Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks. - Iacovos Ioannou; Michael Savva; Marios Raspopoulos; Christophoros Christophorou; Vasos Vassiliou (MedComNet, 2024)

Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks. - Michael Savva; Iacovos Ioannou; Vasos Vassiliou (IFIP Networking, 2024)

Towards Accelerating the Network Performance on DPUs by optimising the P4 runtime. - Dimosthenis Iliadis-Apostolidis; Khalid Manaa; Matty Kadosh; Iacovos Ioannou; Vasos Vassiliou; Sokol Kosta; Juan Jose Vegas Olmos (PDP, 2024)

A Distributed AI Framework for Nano-Grid Power Management and Control. - Iacovos Ioannou; Saher Javaid; Christophoros Christophorou; Vasos Vassiliou; Andreas Pitsillides; Yasuo Tan (IEEE Access, 2024)

DeepRISBeam: Deep Learning-Based RIS Beam Management for Radio Channel Optimization. - Iacovos Ioannou; Marios Raspopoulos; Prabagarane Nagaradjane; Christophoros Christophorou; Waqar Ali Aziz; Vasos Vassiliou; Andreas Pitsillides (IEEE Access, 2024)

AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey. - Razeena Begum Shaik; Prabagarane Nagaradjane; Iacovos Ioannou; Vitawat Sittakul; Vasos Vassiliou; Andreas Pitsillides (Comput. Networks, 2024)

GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening. - Iacovos Ioannou; Prabagarane Nagaradjane; Pelin Angin; Palaniappan Balasubramanian; Karthick Jeyagopal Kavitha; Palani Murugan; Vasos Vassiliou (Comput. Commun., 2024)

A novel automated approach for fish biomass estimation in turbid environments through deep learning, object detection, and regression. - Sella Veluswami Jansi Rani; Iacovos Ioannou; R. Swetha; R. M. Dhivya Lakshmi; Vasos Vassiliou (Ecol. Informatics, 2024)

Implementing a Cell-Free 6G Distributed AI Network With the Use of Deep ML Under a Traditional Multi-Cell Mobile Network. - Iacovos Ioannou; Andreas Gregoriades; Christophoros Christophorou; Marios Raspopoulos; Vasos Vassiliou (MENACOMM, 2025)

On the Performance Analysis of UE-VBS-Based Wireless Communications: Network Outages, Resource Utilization, and Optimization. - Iacovos Ioannou; Alá F. Khalifeh; Prabagarane Nagaradjane; Christophoros Christophorou; Vasos Vassiliou; Orestis Neokleous; Andreas Pitsillides (IEEE Access, 2025)

Enhancing 5G and 6G networks through a dynamic dual-stage machine learning heuristic framework for selecting UEs as UE-VBSs. - Iacovos Ioannou; Jansi Rani Sella Veluswami; Prabagarane Nagaradjane; Christophoros Christophorou; Vasos Vassiliou; Andreas Pitsillides (Ad Hoc Networks, 2025)

Fuzzy logic-based IDS (FLIDS) for the detection of different types of jamming attacks in IoT networks. - Michael Savva; Iacovos Ioannou; Vasos Vassiliou (Comput. Commun., 2025)

DSTL: A Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou (Intell. Converged Networks, 2025)

Intelligent congestion control in 5G URLLC Software-Defined Networks using adaptive resource management via Reinforced Dueling Deep Q-Networks. - Vitawat Sittakul; Iacovos Ioannou; Prabagarane Nagaradjane; Vasos Vassiliou (J. Netw. Comput. Appl., 2025)