Vasileios Karyotis

Associate Professor

Ionian University

Greece

Research Interests

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Vasileios Karyotis is an Associate Professor at Ionian University in Greece. His research interests span machine learning applications, particularly in link prediction, optimization frameworks for wireless networks, IoT innovations, and knowledge graph integration for intelligent manufacturing. He has contributed to various articles focusing on complex networks, supply chain networks, and malware modeling.

Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (10)

Faouzi Bouali

Coventry University

UNITED KINGDOM

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Panos Kourouthanassis

Professor, Dean of Faculty of Information Science and Informatics

Ionian University

GREECE

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Marios Avgeris

Academic, Assistant Professor

University of Amsterdam

NETHERLANDS

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Georgios Alexandridis

Assistant Professor

National and Kapodistrian University of Athens

GREECE

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Dimitrios Dechouniotis

Assistant Professor

UNIVERSITY OF PELOPONNESE

GREECE

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Symeon Papavassiliou

National Technical University of Athens

GREECE

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George Caridakis

Associate Professor

University of the Aegean

GREECE

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Panagiotis Vlamos

Ionian University

GREECE

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Constantine Lyketsos

Professor and Chair

Johns Hopkins University

UNITED STATES

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Klaus Moessner

Professor

Chemnitz University of Technology

GERMANY

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Vasileios Karyotis

Research Interests

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About

Articles (18)

Heuristic Custom Similarity Index (HCSI): A novel machine learning approach for link prediction

An optimization framework for joint wireless data-power transmission in distributed energy harvesting networks

Commercial Off-the-Shelf IoT-Based Infant Car Seat Application for Preventing the Forgotten Baby Syndrome

StreetLines: A Smart and Scalable Tourism Platform Based on Efficient Knowledge-Mining

Digital Twin Meets Knowledge Graph for Intelligent Manufacturing Processes

A Scalable and Efficient Backpressure-Based Scheduling Framework for Supply Chain Networks

Empowering Random Walk Link Prediction Algorithms in Complex Networks by Adapted Structural Information

Generative Deep Learning Techniques for Traffic Matrix Estimation From Link Load Measurements

A Combinatory Framework for Link Prediction in Complex Networks

Design, Development, and Evaluation of 5G-Enabled Vehicular Services: The 5G-HEART Perspective

Markov-Based Malware Propagation Modeling and Analysis in Multi-Layer Networks

On the Potential of Enhancing Delay-Tolerant Routing Protocols via Age of Information

Topology Inference and Link Parameter Estimation Based on End-to-End Measurements

ENERDGE: Distributed Energy-Aware Resource Allocation at the Edge

CoveR: An Information Diffusion Aware Approach for Efficient Recommendations Under User Coverage Constraints

Improving the Utility of Polygenic Risk Scores as a Biomarker for Alzheimer’s Disease

Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases

Socio-Aware Recommendations Under Complex User Constraints

Collaborators (10)

Faouzi Bouali

Panos Kourouthanassis

Marios Avgeris

Georgios Alexandridis

Dimitrios Dechouniotis

Symeon Papavassiliou

George Caridakis

Panagiotis Vlamos

Constantine Lyketsos

Klaus Moessner

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