SERRANO: transparent application deployment in a secure, accelerated and cognitive cloud continuum

A Kretsis, P Kokkinos, P Soumplis… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
We are witnessing a wave of emerging cloud computing technologies and services that
empower advanced applications from different vertical sectors, with diverse requirements …

Rapid prototy** of low-complexity orchestrator targeting cyberphysical systems: The smart-thermostat usecase

C Marantos, K Siozios, D Soudris - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recently, a new generation of systems with integrated computational and physical
capabilities, also known as CyberPhysical Systems (CPSs), has been introduced. The …

Hybrid prototy** methodology for rapid system validation in HW/SW co-design

A Wicaksana, A Charif… - 2019 Conference on …, 2019 - ieeexplore.ieee.org
As the System-on-Chip (SoC) complexity increases, hardware/software co-design plays an
important role to improve design productivity, reduce time to market, and optimize the overall …

[書籍][B] CyberPhysical Systems: Decision Making Mechanisms and Applications

K Siozios, D Soudris, E Kosmatopoulos - 2022 - api.taylorfrancis.com
As systems continue to evolve they rely less on human decision-making and more on
computational intelligence. This trend in conjunction to the available technologies for …

Gamification and Immersive Learning with AI

S Rana, R Chicone - Fortifying the Future: Harnessing AI for …, 2025 - Springer
This chapter explores how artificial intelligence transforms cybersecurity training through
gamification and immersive learning experiences. As traditional training methods become …

Rapid prototy** and design space exploration methodologies for many-accelerator systems

E Sotiriou-Xanthopoulos, S Xydis… - … Conference on Field …, 2015 - ieeexplore.ieee.org
The ever-growing design complexity of modern embedded systems and the need for lower
energy consumption have lead to design techniques which target to bridge the gap between …

The SERRANO platform: Step** towards seamless application development & deployment in the heterogeneous edge-cloud continuum

A Ferikoglou, A Kokkinis, D Danopoulos… - … , Automation & Test …, 2023 - ieeexplore.ieee.org
The need for real-time analytics and faster decision-making mechanisms has led to the
adoption of hardware accelerators such as GPUs and FPGAs within the edge cloud …

[PDF][PDF] Hardware-software co-design of deep learning accelerators: from custom to automated design methodologies

D Danopoulos - 2024 - dspace.lib.ntua.gr
In the past few years, Deep Learning (DL), a subset within the broader field of Artificial
Intelligence (AI), has achieved remarkable success across a wide spectrum of applications …

A framework for reducing the modeling and simulation complexity of cyberphysical systems

N Zompakis, K Siozios - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
As systems continue to evolve they rely less on human decision-making and more on
computational intelligence. This trend in conjunction to the available technologies for …

[PDF][PDF] A framework for rapid system-level synthesis targeting to reconfigurable platforms

D Diamantopoulos, I Galanis, K Siozios… - Workshop on …, 2015 - academia.edu
Reducing time-to-market while improving product quality is a big challenge for system
architects of recent multimillion gate System-on-Chips (SoCs). From the software …