Papaleonidas Antonios

Teaching

Exact course titles/semesters can be adjusted to match department curriculum.

Student Supervision / Co-Supervision (indicative)

• Development of machine learning models for the estimation of electrical resistivity and concrete compressive strength
• Calculation of heating and cooling loads using neural networks
• Use of Neural Networks for the Prediction of the CBR Index of Fiber-Reinforced Soils

Research Projects (selected)

• Human Activity Recognition — ML on wearable signals for elder-care monitoring and wellbeing.
• Cybersecurity — Hybrid ensemble and deep learning approaches for intrusion detection (HEDL‑IDS, COREM²).
• Geo‑Intelligence — Hybrid CI models for coseismic landslides’ classification and severity forecasting (COLAFOS).
• Smart Infrastructure — Short‑term traffic flow prediction with SSA + neural networks.

Selected Publications

• High accuracy human activity recognition using machine learning and wearable devices' raw signals
  Antonios Papaleonidas; Anastasios Panagiotis Psathas; Lazaros Iliadis — Journal of Information and Telecommunication 6(3): 237–253, 2022
• COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity
  Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis; George Papathanassiou; Sotirios Valkaniotis — Journal of Information and Telecommunication 6(4): 420–449, 2022
• COREM² project: a beginning to end approach for cyber intrusion detection
  Anastasios Panagiotis Psathas; Lazaros S. Iliadis; Antonios Papaleonidas; Dimitris Bountas — Neural Computing and Applications 34(22): 19565–19584, 2022
• Can Machine Learning Support Improvement in Effective Nutrition of Patients in Critical Care Units?
  Elias Pimenidis; Kamran Soomro; Antonios Papaleonidas; Anastasios Panagiotis Psathas — ICANN 2023, LNCS, 2023
• An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques
  Antonios Papaleonidas; Konstantinos Lykostratis; Anastasios Panagiotis Psathas; Lazaros Iliadis; Maria Giannopoulou — ICANN 2022, LNCS, 2022
• HEDL-IDS: A Hybrid Ensemble Deep Learning Approach for Cyber Intrusion Detection
  Anastasios Panagiotis Psathas; Lazaros Iliadis; Antonios Papaleonidas; Dimitris Bountas — AIAI 2022, 2022
• Hybrid Computational Intelligence Modeling of Coseismic Landslides' Severity
  Anastasios Panagiotis Psathas; Antonios Papaleonidas; George Papathanassiou; Lazaros Iliadis; Sotirios Valkaniotis — ICCCI 2021, 2021
• A Machine Learning Approach for Recognition of Elders' Activities Using Passive Sensors
  Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis — AIAI Workshops 2021, 2021
• Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques
  Anastasios Panagiotis Psathas; Antonios Papaleonidas; George Papathanassiou; Sotiris Valkaniotis; Lazaros S. Iliadis — EANN 2020, 2020
• Machine Learning Modeling of Human Activity Using PPG Signals
  Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis — ICCCI 2020, 2020
• Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete
  Lazaros S. Iliadis; Kiourt Nichat; Christos Akratos; Antonis Papaleonidas — EANN 2024, 2024
• An Integrated Approach for Short-Term Forecasting of Highway Vehicle Flows Based on Singular Spectrum Analysis and Artificial Neural Networks
  Nikiforos Botzoris; Anastasios Panagiotis Psathas; Antonios Papaleonidas; Lazaros Iliadis — Book chapter, 2025

Full list at Google Scholar.