Summary
Arash Akbarinia is a postdoctoral researcher with 12 years of experience at the intersection of neuroscience, psychophysics and computational vision, currently modeling visual cortex using deep neural networks at Justus Liebig University Giessen. He holds a PhD in Computer Vision & Visual Perception and a strong multidisciplinary background in robotics, software engineering and vision research across European institutions. Arash investigates how complex behaviour and creative perception emerge from neuronal activity by comparing biological and artificial neural networks, blending human-centred psychophysics with cutting-edge computational modelling. His career spans academic research, teaching and industry-facing AI consultancy, giving him a practical appreciation for both theory and deployable systems. A former professional chess player and coach, he brings strategic thinking and pattern intuition to experimental design and model interpretation. Based in Gießen, Germany, he applies rigorous quantitative methods to probe the boundary between animal intelligence and machine perception.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science, Software Engineering, Bachelor of Science, Software Engineering at Göteborgs universitet / University of Gothenburg
Heriot-Watt University Edinburgh Campus
Doctor of Philosophy - PhD, Computer Vision & Visual Perception, Doctor of Philosophy - PhD, Computer Vision & Visual Perception at Universitat Autònoma de Barcelona
Master of Science - MS, Computer Vision & Robotics, Master of Science - MS, Computer Vision & Robotics at Université de Bourgogne
Master of Science - MS, Computer Vision & Robotics, Master of Science - MS, Computer Vision & Robotics at Universitat de Girona
Persian, English, Spanish, German, Catalan