The brain is a highly complex dynamical system. Can we use the control system theory to observe and understand the brain's activity? Can we control the brain's dynamics, in particular, to treat neural diseases such as Parkinson's disease, epilepsy, and migraines? There are currently many activities toward these lofty goals. In complex networks, we are now gaining an understanding of the controllability that is possible. Optimal and robust strategies emerge in our decision-making. Our ability to control smart prosthetics and robotics from brain signals is making rapid progress. There are mathematical models for Parkinson's disease that have given us new insight into the mechanism of this debilitating condition, as well as guiding us to more optimal methods of electrically controlling the symptoms of the disease. The emerging advances from the transdisciplinary intersection of control engineering, dynamical physics, and medicine will be the focus of this symposium.