Hamed Shah-Hosseini was born in Tehran, Iran, in 1970. He received the B.S. degree in Computer Engineering from the University of Tehran. He also obtained the M.S. and Ph.D. degrees both in Computer Science (Artificial Intelligence) from the Amirkabir University of Technology, all with high honors. For seven years, he was an assistant professor in the Faculty of Electrical and Computer Engineering of Shahid Beheshti University. However, he could not continue his career there due to several non-academic conducts imposed on him. As a result, he is currently a freelance researcher.

His research interests include Computational Intelligence especially Neural Networks, Evolutionary Computation, Swarm Intelligence, and Computer Vision. He proposed the Time-Adaptive Self-Organizing Map (TASOM) networks for both stationary and nonstationary environments. Moreover, he introduced two nature-inspired optimization algorithms: “Intelligent Water Drops” algorithm (or IWD algorithm) and “Galaxy-based Search Algorithm” (or the GbSA). In addition, he presented a Generalized Taylor’s (G-Taylor’s) Theorem.