Ansaf Salleb-Aouissi joined the Department of Computer Science as a Lecturer in Discipline in July 2015. Ansaf received her PhD in Computer Science from University of Orleans, France in 2003, after which she pursued her training as a postdoctoral fellow at INRIA, Rennes (France). She was appointed as an Associate Research Scientist at the Columbia University’s Center for Computational Learning Systems in 2006 and served as an adjunct professor with the Computer Science department and the Data Science Institute in 2014 and 2015.
Ansaf’s research interests lie in machine learning and data science. She has done research on frequent patterns mining, rule learning, and action recommendation and has worked on data science projects including geographic information systems and machine learning for the power grid. Her current research interest includes crowd sourcing, medical informatics and educational data mining.
Ansaf has published several peer-reviewed papers in top quality venues including JMLR, TPAMI, ECML, PKDD, COLT, IJCAI, ECAI and AISTAT. She has recently received a National Science Foundation award to study preterm birth and a multi-phase grant from Pearson Education to advance research on online self-learning.
EdX and Columbia University is launching a MicroMasters program in Artificial Intelligence. I will be teaching the fundamentals of artificial intelligence as part of the MicroMasters, beginning in Spring 2017. The course syllabus and enrollment for the class can be accessed here.
In addition to the course in Artificial Intelligence, the MicroMasters includes three other courses: Machine Learning, Animation and CGI Motion, and Robotics, taught by faculty at the departments of computer science, electrical engineering, and mechanical engineering at Columbia University.