Reza Kakooee is a PhD researcher at the chair of Digital Building Technologies, at the Institute of Technology in Architecture, ETH Zurich, and works as a research associate at Computer Science Department, at Lucerne University of Applied Sciences and Arts, where he is applying machine learning techniques to real-world problems.
Reza holds a master’s degree in Electrical and Control Engineering from Ferdowsi University of Mashhad, Iran, where he conducted his research on reinforcement learning and electricity markets. After graduation, he taught as a lecturer in a university in Iran for a few years, followed by doing research on computational neuroscience, more specifically human decision-making and reinforcement learning, to understand how the human brain has inspired artificial intelligence (AI). He is broadly interested in machine learning, but his passion for creative AI brought him to the Department of Architecture at ETH. His dissertation is about using reinforcement learning and deep neural networks to design high-density housing computationally.