Amir Ramezani is a postdoctoral researcher and engineer with 11 years of experience building learning-driven robotics and practical AI systems, currently developing open-ended learning and reinforcement learning solutions for autonomous robots at Aarhus University. His background blends deep research in intrinsic motivation and cognitive-developmental approaches with hands-on systems work—C/C++ backend, computer vision, and embedded protocols—originating from industry projects like real-time plate recognition and RFID/toll integrations. Trained in software engineering and holding a PhD in Mechanical Engineering, he bridges low-level programming and high-level ML, often favoring efficient classical methods (SVM, DTW) alongside deep learning. Based in Tehran with international research appointments in Korea and Denmark, he brings a rare combination of accessibility-driven engineering (tools for visually impaired users) and theoretical curiosity inspired by neuroscience.
11 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Kunsan National University
Master of Science (M.Sc.), Software Engineering, Master of Science (M.Sc.), Software Engineering at Staffordshire University
Full-Time Discontinues Bachelor’s Degree, Computer Engineering Majoring in Software, Full-Time Discontinues Bachelor’s Degree, Computer Engineering Majoring in Software at Islamic Azad University, Tehran North Branch
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Amir Ramezani - Postdoctoral Researcher at Aarhus University