Dr. Hassan Eshkiki

• Fully Connected Networks on a diet with our new Mediterranean Matrix Multiplication
  IEEE Transactions on Neural Networks and Learning Systems, 2022

• ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics
  IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021

• Closest Possible Neighbor of a Different Class: Explaining a Model Using a Neighbor Migrating Generator

Study of Artificial Intelligence and Simulation of Behavior (AISB) 2023

• Towards improving single-cell segmentation in heterogeneous configurations of cardiomyopathy networks

AIiH: International Conference on AI in Healthcare 2024 

• Segmenting breast ultrasound scans using a generative adversarial network embedding U-Net

AIiH: International Conference on AI in Healthcare 2024

• Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies

International Conference on AI in Healthcare 2025

• FA Joint Learning Framework for Fake News Detection 

Displays Journal 2025

• Explainable Breast Cancer Prediction from 3-Dimensional Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Applied Intelligence Journal 2025

Orginaniser & Chair

• Special Session: Leveraging Emerging AI Paradigms in Biomedical Healthcare

Participating in Academic publications

• IPC at IEEE International Symposium on Technology in Society (ISTAS) Proceedings

• IPC at AIiH International Conference on AI in Healthcare

• Reviewer at the International Journal of Intelligent Systems

Programme Committee Member

• The IEEE International Symposium on Technology and Society (ISTAS) 2023

Technical peer-reviewer

• Pattern Recognition (Springer, IF 8)

• International Journal of Intelligence systems (Wiley, IF 7)

• Applied Intelligence (Springer, IF 5.5)

• Mapping cellular interactivity in networks of human cardiac data - a machine learning approach  (current)
  PhD
  Other supervisor: Prof Christopher George, Dr Fabio Caraffini

• Evolutionary Algorithms and Neural Networks in Personalised Diet Planning: A General Solution (current)
  PhD
  Other supervisor: Dr Fabio Caraffini

• Enhancing Cardiomyopathy Dynamic Network Analysis with machine learning  (current)
  PhD
  Other supervisor: Prof Christopher George, Dr Fabio Caraffini

• Tutor, Computer Science                                              2023 - now

  • Swansea University, Wales

• Teacher assistant , Computer Science                      2019 - 2022

  • Swansea University, Wales

• Computer Science Department Software and Lab Coordinator 

• Real-life coding leader

• School student engagement and inclusivity partner 

• Supporting Events 

• Morgan Advanced Studies Institute (2023): Cell network deterioration: understanding and predicting disease (£30,000). Role: Co-Investigator. 

• FSE Fully Funded Scholarship (2024): Enhancing Cardiomyocyte Dynamic Network Analysis with Machine Learning (£70,000). Role: 2nd Supervisor.