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I earned my PhD degree in Electronic Engineering with a focus on Machine Learning in early 2016. During my academic and research journey, I had the opportunity to engage in diverse projects and collaborations.
In 2015, I served as a visiting researcher, contributing to a biometric project at PRAlab in Cagliari, Italy. Subsequently, from September 2016 to August 2021, I held a position as a lecturer at the University of Birjand in Iran, where I shared my knowledge and expertise with students.
My postdoctoral journey led me to the Center for Vision, Speech, and Signal Processing (CVSSP) at the University of Surrey, where I worked from September 2021 to August 2023. During this time, I had the privilege of collaborating with esteemed institutions such as the University of Utrecht in the Netherlands, Concordia University in Canada, and the University of Strathclyde in the United Kingdom, starting in 2018 and continuing to the present day.
Currently, I am a postdoctoral research fellow at London South Bank University, where I am actively involved in the MammoScreen project, applying Artificial Intelligence and Machine Learning techniques. My primary area of expertise and interest lies in the application of these techniques within various domains of Electrical Engineering and the realm of medical projects involving humans and animals.
My specific fields of interest encompass the following:
Application of Artificial Intelligence and Computational Intelligence
Medical Image Processing
you can check the following links:
Email address: firstname.lastname@example.org
• Developed 3D photography system by using Azure Kinect cameras.
• Used computer vision and AI method to examine the link between external facial/head appearance and abnormal brain morphology in pedigree dogs.
• Taught Artificial Intelligence (AI), Machine Learning (ML) and Computer Vision (CV) related courses.
• Taught computer and electronics related courses.
• Researched in the field of application of AI, CV and ML techniques.
• Supervised/ advised MSc and PhD students.
• Improved performance of Automatic doors.
• Used AI techniques to develop new sensors, new systems and new structures.
• Used AI techniques to increase customer purchases.