Ansaf Salleb-Aouissi




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.

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Jan 16th 2017

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI).

Average: 8.8 (10 votes)
Apr 15th 2016

Learn the principles of machine learning and the importance of algorithms. Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications. This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

Average: 8 (3 votes)