Mehdi Keramati

Dr. Mehdi Keramati is a Lecturer in the Department of Psychology at City, University of London, now part of City St George's, University of London. He is based in the College of Health, Science and Technology, where he conducts interdisciplinary research at the intersection of psychology, neuroscience, economics, and artificial intelligence.

Educational Background:

• PhD in Computational Neuroscience, École Normale Supérieure, Paris, France (2009–2013)
• MSc in Economics, Sharif University of Technology, Tehran, Iran (2006–2009)
• BSc in Computer Engineering, University of Tehran, Iran (2002–2006)

His research focuses on understanding the computational mechanisms underlying human decision-making, associative learning, and planning, particularly in the context of behavioral and neuroeconomic models. He applies techniques from machine learning and artificial intelligence to model cognitive processes and investigate maladaptive behaviors such as drug and food addiction.

Dr. Keramati has held postdoctoral positions at the Gatsby Computational Neuroscience Unit and the Max Planck Center for Computational Psychiatry, both at University College London (UCL), before joining City in 2018. His work bridges theoretical modeling with empirical neuroscience, contributing to the growing field of computational psychiatry.

Scientific Awards:

Dr. Keramati has advised students and contributed to research grants, though specific names and funding details are not provided in the text. His academic career reflects a strong trajectory in computational approaches to psychology and neuroscience.

He is actively involved in research and has published in areas related to neuroeconomics, reinforcement learning, and addiction. His methodological expertise includes modeling human behavior using AI and machine learning frameworks.