Kostas Siozios

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Associate Professor

Aristotle University of Thessaloniki

Greece

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About

Kostas Siozios is an Associate Professor at Aristotle University of Thessaloniki, Greece. His research areas encompass software-defined networking, edge computing, artificial intelligence, and energy-aware systems, as evidenced by his recent publications on topics such as hybrid FiWi networks for 6G, Internet of Things applications for beehive detection, and federated learning for distributed systems. He is dedicated to advancing the intersection of hardware and software solutions in modern communication and smart environments.

Recent Grants

Grant: Close

ICT-40-2020 - Cloud Computing: towards a smart cloud computing continuum

Open Date: 2021-01-01

Close Date: 2023-12-01

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Collaborators (8)

Vasileios Konstantakos

Assistant Professor

Aristotle University of Thessaloniki

GREECE

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Nikos Pleros

Associate Professor

Aristotle University of Thessaloniki

GREECE

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Dimitrios Soudris

Professor

National Technical University of Athens

GREECE

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Iraklis Anagnostopoulos

Associate Professor

Southern Illinois University

UNITED STATES

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Spyridon Nikolaidis

Professor

Aristotle University of Thessaloniki

GREECE

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Ittetsu Taniguchi

Associate Professor

Osaka University

JAPAN

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Mehdi Tahoori

Professor and Chair

Karlsruher Institut für Technologie

GERMANY

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Charalampos Marantos

National Technical University of Athens

GREECE

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Kostas Siozios

Research Interests

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About

Recent Grants

Articles (20)

Enabling Printed Multilayer Perceptrons Realization via Area-Aware Neural Minimization

Deep Edge IoT for Acoustic Detection of Queenless Beehives

Field Trial of a SDN-Controlled, Hybrid FiWi FSO/mmWave X-Haul With Zero-Touch Handovers and Record-High Data Rate for 6G

Energy-Aware Heterogeneous Federated Learning via Approximate DNN Accelerators

Fast Resource Estimation of FPGA-Based MLP Accelerators for TinyML Applications

FEARLESS: A Federated Reinforcement Learning Orchestrator for Serverless Edge Swarms

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization

Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization

A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study

AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch

A Hybrid GA/ML-Based End-to-End Automated Methodology for Design Acceleration of Wireless Communications CMOS LNAs

CMOS Noise Analysis and Simulation From Low Frequency and Baseband to RF and Millimeter Wave

Online Energy Management Framework for Smart Buildings with Low-Complexity Estimators

Decoding the Behavior of a Queenless Colony Using Sound Signals

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization

Dynamic Optimization of On-Chip Memories for HLS Targeting Many-Accelerator Platforms

Wide-Range Light Harvesting Module for Autonomous Sensor Nodes

Automated Design Approximation to Overcome Circuit Aging

73.5 uW Indoor-Outdoor Light Harvesting System with Global Maximum Power Point Tracking

Rapid Prototyping of Low-Complexity Orchestrator Targeting CyberPhysical Systems: The Smart-Thermostat Usecase

Collaborators (8)

Vasileios Konstantakos

Nikos Pleros

Dimitrios Soudris

Iraklis Anagnostopoulos

Spyridon Nikolaidis

Ittetsu Taniguchi

Mehdi Tahoori

Charalampos Marantos

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