Sayed Alireza Sadrossadat (Member, IEEE) received the B.Sc. degree from the University of Tehran, Tehran, Iran, in 2007, the master’s degree from the University of Waterloo, Waterloo, ON, Canada, in 2010, and the Ph.D. degree from Carleton University, Ottawa, ON, Canada, in 2015. He is currently the Chair of the Artificial Intelligence Group, Department of Computer Engineering, Yazd University, Yazd, Iran. His current research interests include optimization and neural network-based modeling of linear/nonlinear components and circuits, computer-aided design, deep learning, very large-scale integration design, probabilistic design, and yield maximization. Dr. Sadrossadat has been a Technical Reviewer for several IEEE/IET journals, such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Very Large-Scale Integration Systems, IET Microwave and Propagation, IET Electronic Letters, IEEE Canadian Journal of Electrical and Computer Engineering, and Scientific Reports (Nature).