Joined department: 2006

Suleyman Cetintas is a PhD candidate, working with Professor Luo Si in the Computer Science Department of Purdue University.

His research interests lie mainly in the areas of information retrieval, intelligent tutoring systems and applied machine learning. An incomplete list of his publications can be found at DBLP. In 2010 summer, he worked in the Data Analytics Group at LinkedIn Corp. where he focused on modeling user similarity in professional social networks (which is an important task for many core services of social networks such as recruiting, job seeking, ad-targeting, item recommendation, etc.). In the summer of 2011, he worked in the Advertising Sciences Group at Yahoo! Labs where he focused on supply forecasting problems (e.g., modeling reach and frequency on very large scale data -i.e., hundreds of millions of users and billions of impressions) for guaranteed display advertising (which directly impact Yahoo!'s multi-billion dollar advertising business). Please contact him for more detailed information about his research and the current projects he is working on.

He is a coordinator of the Yahoo! Machine Learning and Applications Seminar @ Purdue, and is a member of ACM, ACM SIGIR, IAIED Society, Purdue Machine Learning Group, Indiana Center for Database Systems, Purdue UPE Chapter and Purdue Turkish Student Association.