Day 1, 12 June 2025

Time (EEST)Session
13:20-13:50Registration
13:50-14:00Opening Session
14:00-15:30

Industry 1:

Enhancing the Performance of Gas Turbines Predictive Emissions Monitoring System: A Stacked Ensemble Machine Learning Models
Unsupervised Hierarchical Denoising Guided Student-Teacher Framework for Battery Spot Welding Anomaly Detection

Classification of Analyte in Aqueous Solution via High-Frequency Transmission Spectroscopy

15:30-16:00Coffee Break
16:00-18:00

Health 1:
An auto-Segmentation pipeline for Diffusion Tensor Imaging on spinal cord
Towards Automatic Computation of the SkullCode: A Novel Biometric Approach for Cranial Identification

MobileSpine: A Mobile-based 3D Reconstruction System for Remote Scoliosis Assessment

Automatic Pedicle Screw Placement Based On Simulated Annealing Algorithm

TBDDinner

Day 2, 13 June 2025

Time (EEST)Session
09:00-09:30Registration
09:30-10:30

Industry 2:

Optimizing Saas For Data-Driven IoT Applications In Smart Factory Communication
A Data-Driven Approach for Smart Electricity Management in Rural Energy Communities

10:30-

11:00

Coffee Break

11:00-

12:00

Keynote

Keynote Speaker: Prof.  Ilias Maglogiannis, University of Piraeus, Piraeus, Greece
Title: Computational Intelligence and Virtual Environments for Holistic Health Management
 

12:00-

13:00

Security:

Analysis and Evaluation of Various Factors Affecting Deep Learning Systems Prediction Accuracy for Face Recognition
Deep Learning-Based Iris Quality Assessment for Images Sourced from Websites and Social Media

13:00-14:00Lunch
14:00-15:30Methodologies:
Introducing Feature Importance Consistency (FIC) in XAI Models: A Comprehensive Evaluation using Rank Correlation Coefficients
Speeding Up Real-time Digital Image Processing Algorithms at the Hardware Level with a Soft Flexible FPGA Processor: Centralized vs. Distributed Solutions
Deep Learning Based Student Engagement Detection: Comparison of Model Architectures and Computational Time Efficiency
15:30-16:00Coffee Break
16:00-18:00

Health 2:

A fiber grating human-robot interaction force sensor for lower limb rehabilitation exoskeleton
Enhancing Fall Risk Assessment with Deep Learning: A CNN-BiLSTM Approach Using Plantar Pressure Sensors
Sarcopenia risk levels recognition by gait kinetics using deep learning
Deep Learning Multi-Feature Analysis of Cough Audio Signal for Tuberculosis identification

18:00-

18:10

Closing Session

Day 3, 14 June 2025

Time (EEST)Session
09:30-11:00Visit to the department of informatics at the University of Piraeus and open discussion of research topics with the  participants

11:15-

13:00

One-to-one prearranged meetings on current projects and future cooperation