most citedExact, Efficient, and Reliable Multi-Objective and Multi-Constrained IoT Workflow Scheduling in Edge-Hub-Cloud Cyber-Physical Systems

1 citations · 1 across the 3 of their papers we have counts for

collaborators

10 papers

cs.CV2026

How Sampling Strategy Affects Imbalance Mitigation in LiDAR Segmentation: A Study of Structured vs. Random Point-Based Architectures

Antonis Savva, Christos Kyrkou, Theocharis Theocharides

Class imbalance in LiDAR point clouds poses challenges for semantic segmentation in autonomous navigation and urban mapping. While 2D vision has numerous mitigation techniques, the…

cs.CV2026

Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance

Antonis Savva, Christos Kyrkou, Theocharis Theocharides

Semantic segmentation of 3D point clouds faces severe class imbalance, yet the effectiveness of specialized imbalance-aware methods from 2D computer vision remains unclear in 3D co…

cs.DC20261 cited

Exact, Efficient, and Reliable Multi-Objective and Multi-Constrained IoT Workflow Scheduling in Edge-Hub-Cloud Cyber-Physical Systems

Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1

Emerging IoT-enabled cyber-physical applications demand low-latency, energy-efficient, and reliable execution across resource-constrained edge devices with heterogeneous multicore…

eess.SY2026

A Cooperative Multi-Agent Probabilistic Framework for Search and Track Missions

Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2

In this work a robust and scalable cooperative multi-agent searching and tracking framework is proposed. Specifically, we study the problem of cooperative searching and tracking of…

cs.DC2026

A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum

Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1

A growing number of critical workflow applications leverage a streamlined edge-hub-cloud architecture, which diverges from the conventional edge computing paradigm. An edge device,…

cs.NI2025

An optimization framework for task allocation in the edge/hub/cloud paradigm

Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1

With the advent of the Internet of Things (IoT), novel critical applications have emerged that leverage the edge/hub/cloud paradigm, which diverges from the conventional edge compu…