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Rahul Shome is a tenure track lecturer at the School of Computing at Australian National University, specializing in Robotics and Artificial Intelligence. He completed his Ph.D. and M.S. degrees in Computer Science at Rutgers University, where he worked under the supervision of Prof. Kostas E. Bekris. His research primarily focuses on developing effective planning algorithms for robots that operate within human-centric environments. He has published a chapter in the Encyclopedia of Robotics as well as multiple peer-reviewed journal articles, and his work has been recognized with several awards, including nominations for paper prizes at prestigious robotics conferences such as IEEE ICRA and IEEE MRS. Shome has significant experience in organizing and chairing major international robotics conferences, including ICRA, IROS, and RSS, and has been involved with journals such as Robotics and Autonomous Systems. His current research endeavors aim to address real-world robotics challenges through practical and theoretical solutions, covering topics such as task motion planning, multi-robot planning, and human-robot interactions.
Requirements are standardized across most Master of Science and Arts programs within the College of Science and College of Arts & Social Sciences.