A highly interdisciplinary program with unparalleled flexibility,
preparing the next generation of scientists for impactful careers
in research and beyond.
To achieve better training outcomes with faster deployment results, Fukang Liu and Feiyang Wu have published a duo of papers in IEEE Robotics and Automation Letters.
We hope that initiative leads will act as the “faculty face” of IRIM and communicate IRIM’s vision and activities to audiences both within and outside of Georgia Tech.
Understanding and predicting self-organization, especially in systems that are out of equilibrium, like living things, is an enduring goal of statistical physics.
Daniel Goldman has been honored as a fellow of the American Association for the Advancement of Science, the world’s largest multidisciplinary scientific society.