Robust and optimal control, linear matrix inequalities (LMIs), model predictive control (MPC), delayed systems, input-output stability, passivity
Hybrid analog, digital, and optoelectronic information processing systems, ultra-compact optical sensors, short-haul and in-home optical data communications, real-time control, cost effective high performance and optoelectronic packaging, and predictive and statistical modeling of RF and optoelectronic passive and active components and circuits.
Human supervisory control, human-unmanned vehicle interaction, human-autonomous system collaboration, human-robot interaction, human-systems engineering, and the ethical and social impact of technology.
Professor Izatt's research interests are in the area of biophotonics and include coherence-based biomedical imaging and microscopy, novel technologies for ophthalmic imaging, and nanoscale studies of cellular morphology and dynamics.
Design and analysis of cyber-physical systems and in particular real-time and embedded systems, disrtibuted/networked control systems and high-confidence medical devices and systems.
Manipulation, Robotic sensor networks, Artifical intelligence, Robot learning, and Perception.
Manipulation, Robotic sensor networks, Artificial intelligence, and Perception