Staff Profile

Introduction

I am a Research Associate at the Institute of Biosciences, at Newcastle University. I am interested in biomedical image analysis with more emphasis on ocular data. 

I was an Assistant Professor at School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran, from 2015 to 2021. I was also a guest researcher at Neurocure Clinical Research Center, Charité universität berlin, Berlin, Germany, from 2018 until 2021.

Qualifications

B.A. in Biomedical Engineering, Sahand University of Technology, Iran.

M.Sc. in Biomedical Engineering, Isfahan University of Medical Sciences, Iran.

D.Phil. in Biomedical Engineering, Isfahan University of Medical Sciences, Iran.

Research Interests

My research is concentrated on biomedical image analysis with more emphasis on ocular data. Form theoretical point of view, I like working on deep learning, graph based image analysis, and time-frequency methods, with purpose of segmentation, restoration and classification of medical data.

Here is a brief summary of my research interests:

Medical Image Processing

• Ocular image processing (Optical Coherence Tomography, OCTA, Fundus)
• Brain image processing (fMRI, MRI)
• Image analysis in Neurodegenerative Diseases (Multiple Sclerosis, Neuromyelitis optica, Alzheimer's disease)

Image Processing

• Computer Vision
• Image enhancement methods
• Noise reduction methods
• Graph based image processing

Machine learning

• Deep Learning

Time-frequency methods

• Sparse representations
• Dictionary learning
• X-lets

Data acquisition and management

Using the mentioned theories and making them available for clinicians through user friendly interfaces, provides us the opportunity of automatic extraction of information from medical images which can facilitate the diagnosis and treatment procedures. Here is the link to my Google Scholar profile.

Current project

I am working in the project titled Octahedron by Principal Investigator Professor Anya Hurlbert . We will use eye scans to detect when neurological diseases like Parkinson’s and Alzheimer’s first begin to develop. Ocular imaging from the eye can be considered as a window to the brain and their analysis can shed light on early diagnosis of such diseases. Furthermore, these images are cheap, quick and non-invasive. We will use deep learning methods for automatic segmentation of retinal boundaries and for automatic diagnosis of the diseases.