Thomas Lagkas

Assistant Professor

International Hellenic University

Greece

Research Interests

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About

Thomas Lagkas is an Assistant Professor at the International Hellenic University, Greece. His research interests include explainable artificial intelligence, remote sensing, and edge computing, as evidenced by his recent publications in areas such as object detection in the automotive sector, thermal imaging for agricultural stress detection, and federated intrusion detection systems. Dr. Lagkas is dedicated to advancing innovative communication schemes in smart farming and addressing challenges in AI task management.

Articles (26)

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2025

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2022

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2022

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2022

Collaborators (15)

Petros Amanatidis

Teaching Assistant

International Hellenic University

GREECE

Thomas Lagkas

Research Interests

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About

Articles (26)

Explainable Artificial Intelligence for Object Detection in the Automotive Sector

A Novel Air-to-Ground Communication Scheme for Advanced Big Data Collection in Smart Farming Using UAVs

StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems

Trustworthy Analytics in ETSI ZSM: A 5G Security Case Study

Integrating thermal infrared and RGB imaging for early detection of water stress in lettuces with comparative analysis of IoT sensors

New vegetation stress assessment approach via WorldView-3 imagery, validated with UAV thermal imaging

A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions

Advances in Remote Sensing and Propulsion Systems for Earth Observation Nanosatellites

Multi-Objective Reverse Offloading in Edge Computing for AI Tasks

Cherry Tree Crown Extraction Using Machine Learning Based on Images from UAVs

Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey

Channel-Aware QUIC Control for Enhanced CAM Communications in C-V2X Deployments Over Aerial Base Stations

Beyond Flight: Enhancing the Internet of Drones with Blockchain Technologies

Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains

Strategic Honeypot Deployment in Ultra-Dense Beyond 5G Networks: A Reinforcement Learning Approach

Adaptive reverse task offloading in edge computing for AI processes

Generating full-stack 5G security datasets: IP-layer and core network persistent PDU session attacks

Advancing SDN from OpenFlow to P4: A Survey

Anchored self‐similar 3D Gauss‐Markov mobility model for ad hoc routing scenarios

Task Allocation Methods and Optimization Techniques in Edge Computing: A Systematic Review of the Literature

Cooperative Task Execution for Object Detection in Edge Computing: An Internet of Things Application

Introducing a New TCP Variant for UAV networks following comparative simulations

Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare

Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles

IoT and digital circular economy: Principles, applications, and challenges

Enhancing information security awareness programs through collaborative learning

Collaborators (15)

Petros Amanatidis

Kostas Psannis

Alexandros-Apostolos A. Boulogeorgos

George Iosifidis

Dimitrios Pliatsios

Sotirios Goudos

Constantinos Marios Angelopoulos

George Fragulis

Evangelos Markakis

Dimitris Karampatzakis

George Kokkonis

Peristera Baziana

Panagiotis Sarigiannidis

Alexandros Nikitas

Vasileios Argyriou

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