Amir Abarghouei is an Associate Professor and researcher in computer science with eight years of experience specializing in computer vision, machine learning, robotics and multimodal pattern recognition. He holds a PhD from Durham University and has contributed to applied research projects tackling cloud-based criminal behaviour detection and ransomware prevention, bridging NLP, imaging and security. Amir has progressed from lecturer and research roles to faculty leadership at Durham, supervising students and serving on ethics committees, reflecting a strong mix of technical depth and academic governance. Beyond publications on Google Scholar, he maintains code and multimedia outreach via GitHub, Vimeo and YouTube, signaling a commitment to reproducible research and public engagement. An interesting thread through his work is practical multimodal fusion—applying vision and language techniques to real-world forensic and robotic problems.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Science, 3.94/4, Master of Science - MS, Computer Science, 3.94/4 at Universiti Teknologi Malaysia
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Durham University
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Shahid Bahonar University of Kerman
Examples and code demonstrations for the Image Processing module at Durham University
Contributions:66 commits, 1 PR, 63 pushes in 1 year 3 months
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