Simon Haykin (SM’70–F’82–LF’01) received the B.Sc. (first class Hons.), Ph.D., and D.Sc. degrees in electrical engineering from the University of Birmingham, Birmingham, U.K. He is a Distinguished University Professor with the Faculty of Engineering, McMaster University, Hamilton, ON, Canada. Having devoted a great number of earlier research projects pertaining to communication, radar, and adaptive filtering, he devoted contributions dealing with neural networks and learning machines; these early contributions to the literature set the stage for cognition rooted in communication and radar. Then, he focused his research efforts to the formulation of cognitive dynamic system, which set the stage for cognitive risk control aimed at physical systems. He is the Author/Co-Author of more than 50 books on communication systems (analog and digital), adaptive filter theory, neural networks and learning machines, and cognitive dynamic systems. His current research interests include learning from the human brain and applying it to a new generation of cognitive dynamic systems, which are well-suited as the brain/engine of complex networks for various applications. He is a Fellow of the Royal Society of Canada. He was the recipient of the Honorary Doctor of Technical Sciences (ETH, Zurich, Switzerland), the Booker Gold Medal from URSI for his outstanding contributions to radar and wireless communications. He was recipient of the James H. Mulligan Medal of the IEEE in June, 2016.