Dr. Siegelmann, a recognized expert in Complex Systems and Neural Networks, focuses on theoretical computational neuroscience, computation in and modeling of natural systems and their application to intelligent systems. Of particular research interest are intelligence vis-à-vis adaptive memory, advanced models of cognition, and evolving, intelligent interfaces for robotics and other intelligent systems. Her studies often involve multi-scale modeling and system level analysis of major disorders such as cancer. The creator of a new field of computer science, Super-Turing computation, Dr. Siegelmann is applying the theory to biological systems and exploring them in connection with a new generation of analog computer.