Mark Moll, Zak Kingston, and Lydia Kavraki in new robotics lab with Igor the Robot.
Algorithms and Artificial Intelligence (AAI)
Owing mainly to technological advances, biomedical labs, social studies, and energy companies, among others, are producing data at unprecedented rates and volumes. The need to turn these data into information and, ultimately, actionable knowledge, has provided computer science with a unique opportunity to usher in a new era of interdisciplinary research and education.
Research efforts in the AAI group focus on developing new methodologies and adopting existing ones to enable data analysis in a wide range of disciplines. These efforts include computational work in bioinformatics (led by Profs. Kavraki, Nakhleh, Subramanian, Treangen, and Yao), graphics and image analysis (led by Profs. Goldman and Warren), political and social sciences (led by Prof. Subramanian), and robotics (led by Prof. Kavraki).
Almost all faculty members in the AAI area conduct research related to data science. For example, Jermaine, Kyrillidis, Shrivastava and Subramanian develop new methodologies for data science. Kavraki, Nakhleh and Treangen conduct applied data science research in the fields of bioinformatics and computational biology.