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.
robot motion planning and control, semiautonomous robots, integrating perception and planning, intelligent vehicles, robotic manipulation, robot-assisted medicine, and legged locomotion
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.
3D user interfaces, novel interaction techniques and immersive display systems
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