Enhancing Multi-class Diabetic Retinopathy Detection Using Tuned Hyper-parameters and Modified Deep Transfer Learning
Investigates image enhancement, transfer learning and hyperparameter tuning for retinal fundus classification.
Paper / DOIAcademic curriculum vitae
Farhad
Abedinzadeh.
Postgraduate Researcher (PhD) in Bioengineering
Durham University
Durham, United Kingdom · farhaad.abedinzade@gmail.com
farhadabedinzadeh.github.io · ORCID: 0000-0002-0021-2009
Research profile
I am a postgraduate researcher (PhD) in Bioengineering at Durham University working on interpretable AI for early prediction of childhood myopia using longitudinal multimodal retinal imaging and biometric data. My research interests include OCT/OCTA analysis, retinal biomarkers, ocular biometry, longitudinal modelling and multimodal learning.
My previous research spans biomedical image and signal processing, computational neuroscience and machine learning, including EEG connectivity, EMG, gait, voice and MRI analysis in neurodevelopmental and neurodegenerative disorders.
Education
Current
PhD in Bioengineering · Durham University, United Kingdom
Research: Interpretable AI for Early Prediction of Childhood Myopia Using Longitudinal Multimodal Retinal Imaging and Biometric Data.
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MSc in Sports Engineering
Islamic Azad University, Mashhad Branch, Iran · GPA: 17.40/20
Thesis: Detection of ADHD Using Phase-Based Brain Connectivity and Graph Theory.
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BSc in Biomedical Engineering (Biomaterials)
Sadjad University of Technology, Mashhad, Iran
Thesis: Brain Tumor Detection Using Image Processing and Artificial Neural Networks.
Teaching & research experience
Durham
AI and Deep Learning · Python teaching materials
Preparation of practical notebooks and learning materials for students with limited Python experience.
May 2024
Instructor · EEG Signal Processing Workshop
Workshop held by the National Brain Mapping Laboratory in Mashhad, Iran.
Jul–Oct 2022
Instructor · Biomedical Image & Signal Processing Using MATLAB
Islamic Azad University, Mashhad Branch. Designed lectures, supervised practical sessions and guided projects in signal analysis, wavelets, pattern recognition and machine learning.
Joined Oct 2021
Research Assistant & Lab Manager
Research with Seyyed Abed Hosseini, Islamic Azad University, Mashhad Branch. Work on brain connectivity and multimodal data in neurological disorders.
Started Jan 2022
Biomedical programming & research project support
Python and MATLAB applications, data analysis, research methodology and support for undergraduate and master’s research projects.
Joined Feb 2024
Venture Capital Analyst of Medical Devices
Razavi HighTech Industries, Mashhad, Iran.
Teaching development
Completed at Durham University.
- DCAD Teaching Induction: Teaching Skills: seminars and tutorials
- DCAD Teaching Induction: Assessment Skills
- DCAD Teaching Induction: Teaching Skills: lab teaching and science tutorials
Technical skills
Programming & machine learning
Python, MATLAB, PyTorch, TensorFlow/Keras, scikit-learn and Git.
Biomedical analysis
Image and signal preprocessing; EEG, EMG, ECG, gait and MRI analysis; connectivity, graph theory and time-frequency methods.
Retinal imaging research
OCT/OCTA exploration, EyePy workflows, retinal segmentation, thickness maps, en face projections and biometric integration.
Research tools
MNE, EEGLAB, Brainstorm, FieldTrip, BrainNet Viewer, BRAPH, HERMES, SPM, LaTeX, Mendeley, EndNote and SPSS.
Selected publications
Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value
Combines linear and phase-based EEG connectivity with an attention-based convolutional network.
Paper / DOISimultaneous Time-Frequency Analysis of Gait Signals of Both Legs in Classifying Neurodegenerative Diseases
Uses interlimb wavelet coherence and transfer learning to study neurodegenerative gait patterns.
Paper / DOIHybrid Deep Transfer Learning Based Early Diagnosis of Autism Spectrum Disorder Using Scalogram Representation of Electroencephalography Signals
Combines EEG scalograms with convolutional and recurrent models for autism classification.
Paper / DOIComplete publication list: farhadabedinzadeh.github.io/publications/.
Academic service
Journal peer reviewer:
- Iran Journal of Computer Science · Springer · Nov 2025–Present
- Multimedia Tools and Applications · Springer · Jan 2025–Present
- BMC Public Health · Springer · Dec 2024–Present
- Physical and Engineering Sciences in Medicine · Springer · Jan 2024–Present
- Computers in Biology and Medicine · Elsevier · Sep 2023–Present
- Pattern Recognition Letters · Elsevier · Jun 2023–Present
- Biomedical Signal Processing and Control · Elsevier · Feb 2023–Present
- Cognitive Neurodynamics
- Scientific Reports
- Discover Artificial Intelligence
- Signal, Image and Video Processing
Recognition
- Ranked second among Biomedical Engineering master’s students at Islamic Azad University, Mashhad Branch.
- Finalist among 100 teams in the One Thousand Technological Ideas Tournament with an intelligent ring concept for HRV-based epileptic seizure prediction.
Languages
Persian: native · English: advanced (C1, IELTS Academic).