Spyridon Nikolaidis

Professor

Aristotle University of Thessaloniki

Greece

Research Interests

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About

Spyridon Nikolaidis is a Professor at Aristotle University of Thessaloniki, Greece. His research interests include IoT applications in acoustic detection, energy consumption in embedded systems, and signal processing for music. He has contributed to various recent articles exploring topics such as digital encrypted communication schemes, parameter configuration for leak localization in pipelines, and methods for identifying Greek Orthodox Church chants.

Articles (14)

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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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 (8)

Lazaros Moysis

Aristotle University of Thessaloniki

GREECE

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Achilles Boursianis

Laboratory Teaching Staff

Aristoteleio Panepistemio Thessalonikes

GREECE

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Kostas Siozios

Associate Professor

Aristotle University of Thessaloniki

GREECE

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Maria Papadopoulou

Assistant Professor

International Hellenic University

GREECE

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Rodrigo Picos

Associate Professor

Universitat de les Illes Balears

SPAIN

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Vasileios Konstantakos

Assistant Professor

Aristotle University of Thessaloniki

GREECE

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Sotirios Goudos

Assistant Professor

Aristotle University of Thessaloniki

GREECE

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Panagiotis Sarigiannidis

University of Western Macedonia

GREECE

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Spyridon Nikolaidis

Research Interests

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About

Articles (14)

Identification of Greek Orthodox Church Chants Using Fuzzy Entropy

Deep Edge IoT for Acoustic Detection of Queenless Beehives

Reducing Energy Consumption in Embedded Systems Applications

Unconventional Security for IoT: Hardware and Software Implementation of a Digital Chaotic Encrypted Communication Scheme

Study of Parameter Configuration on an Embedded System Used for Acoustic Leak Localization in Metallic Pipelines

Dual-Band Rectifier Circuit Design for IoT Communication in 5G Systems

Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art

A Statistical Approach for Leak Monitoring of Highly Noisy Metallic Pipelines

Acoustic Leak Localization Method for Pipelines in High-Noise Environment Using Time-Frequency Signal Segmentation

MOCAST 2021

Artwork Style Recognition Using Vision Transformers and MLP Mixer

Novel Design Framework for Dual-Band Frequency Selective Surfaces Using Multi-Variant Differential Evolution

Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform

High-Efficiency Triple-Band RF-to-DC Rectifier Primary Design for RF Energy-Harvesting Systems

Collaborators (8)

Lazaros Moysis

Achilles Boursianis

Kostas Siozios

Maria Papadopoulou

Rodrigo Picos

Vasileios Konstantakos

Sotirios Goudos

Panagiotis Sarigiannidis

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