Welcome to my Webpage!

 

I am currently a Ph.D. Candidate at the University of Massachusetts, Amherst in the Department of Computer Science. I am working with David Jensen in the Knowledge Discovery Laboratory.

In general, I am interested in the new emerging field of Computational Social Science. In particular, I am intrigued by designing knowledge discovery methods for estimating causal knowledge in complex relational domains. More specifically, I am working on applying Quasi-Experimental Designs, a set of conceptual tools commonly used by social scientists, to estimate the causal relationships on the observational data that is available through many social media systems.

Here is my Resume.

Publications

Distance Estimation for Very Large Networks using MapReduce and Network Structure Indices
Hüseyin Oktay, A. Soner Balkir, Ian Foster, and David D. Jensen
Workshop on Information Networks, (WIN Workshop), (2011), New York, NY
PDF BibTeX
Causal Discovery in Social Media Using Quasi-Experimental Designs
Hüseyin Oktay, Brian J. Taylor, and David D. Jensen
Proceedings of the ACM/SIGKDD Workshop on Social Media Analytics, (2010), Washington,DC
PDF BibTeX
Learning Causal Models of Relational Domains
Marc Maier, Brian J. Taylor, Hüseyin Oktay, and David D. Jensen
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, (2010), Atlanta,GA
PDF BibTeX