CV

Download CV as PDF

Education

• PhD, UKRI AI Centre for Biomedical Innovation (AI4BI CDT), University of Edinburgh, Sep 2025 - Expected 2029
  • Thesis: Artificial Intelligence EEG Biomarkers for Neurodevelopmental Disorders
  • Supervisors: Dr. Alfredo Gonzalez-Sulser, Prof. Javier Escudero
• BSc in Electrical Engineering, Sharif University of Technology, Oct 2021 - Aug 2025
  • GPA: 17.82 / 20
  • Notable grades: Signals and Systems (20), Linear Algebra (20), Matrix and Tensor Decompositions - graduate course (19.1), Medical Signal and Image Processing Lab (18.7), Computer Vision Lab (18.8), Biological Computation (18.6), Introduction to Machine Learning (17)

Research experience

• Nov 2025 - Present: PhD Student, AI4BI CDT, University of Edinburgh
  • Developing interpretable machine-learning methods for EEG biomarker discovery in SYNGAP1-related disorder and related neurodevelopmental conditions.
  • Supervisors: Dr. Alfredo Gonzalez-Sulser, Prof. Javier Escudero

• Jul 2026 - Present: Research Assistant (Part-time), NeuroCreate

• Jun 2024 - Oct 2024: Remote Research Intern, Institute for AI in Medicine (IKIM) - AI-guided Therapies group, Essen, Germany
  • Contributed to the HNTS-MRG24 MICCAI Challenge on head and neck tumor segmentation for MRI-guided adaptive radiotherapy; team achieved 1st place in Task 1.
  • Supervisors: Prof. Jan Egger, Dr. Behrus Puladi, Dr. Emad Fatemizadeh

For full project details, see Publications and Portfolio.

Voluntary teaching experience

See the full list on the Teaching page.

• Electrical Circuits Theory, Sharif University of Technology, Fall 2024
• Logical Circuits and Digital Systems, Sharif University of Technology, Fall 2023 & Spring 2024
• Mathematical Methods in Engineering, Sharif University of Technology, Spring 2024
• Electrical Circuits Lab, Sharif University of Technology, Spring 2023

Honors and awards

• 1st Place, HNTS-MRG24 MICCAI Challenge, Task 1, 2024
• Accepted paper, IEEE EMBC 2026
• UKRI AI4BI CDT PhD Studentship, University of Edinburgh
• National University Entrance Exam, Iran - ranked top 0.1% among 140,000+ participants, 2021

Certifications

• Deep Learning Specialization
• Machine Learning Specialization

Skills

• Programming: Python, MATLAB, C++, LaTeX
• Machine Learning & AI: PyTorch, TensorFlow, Scikit-learn, XGBoost, CatBoost, Hyperopt, BorutaSHAP
• EEG & Signal Processing: MNE, EEGLAB, spectral analysis, connectivity features, complexity features, artifact detection
• Medical Imaging: nnUNet, MedNeXt, MRI/CT analysis, image segmentation, diffusion models
• Languages: Persian (native), English (professional working proficiency - TOEFL iBT 107/120)

Publications

VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation

N. Moradi, G. Luijten, B. Puladi, J. Kleesiek, V. Alves, J. Egger, A. Ferreira. "VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation." arXiv preprint, 2026.

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy

N. Moradi, A. Ferreira, B. Puladi, J. Kleesiek, E. Fatemizadeh, G. Luijten, V. Alves, J. Egger. "Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy." arXiv preprint, 2024.

Talks & conferences

Poster Presentation: Machine Learning EEG Biomarkers in SYNGAP1 Rodent Models

July 26, 2026

Poster presentation at IEEE EMBC 2026, Toronto, Canada

FENS-Chen Institute Summer Program on AI-Accelerated Neuroscience Discovery and Translation

July 12, 2026

Summer school at University of Cambridge, Cambridge, UK

Poster Presentation at MI4H Conference

May 27, 2026

Poster presentation at MI4H, University of Warwick, Coventry, UK

Brains in the Making: Shaping How We See Epilepsy

March 16, 2026

Public engagement at Castlebrae Community Campus, Edinburgh, UK

Teaching