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Background:
Fidan Boylu has received a B.S.
degree in electrical and electronic engineering
from Middle East Technical University in Turkey. After
getting her MBA degree in 2002, she started working
as a research and teaching assistant at the University
of Florida. She specializes in data mining
and her research involves classification of observations
when the associated data will be deliberately manipulated
by self interested agents. This novel idea
expands results from statistical learning theory
and the well-known principal agent problem. Her
research shows that results from the statistical
learning theory have to be modified to account
for this strategic behavior. Applications
of this idea include credit rating, spam filtering,
and college admissions to name a few. She
has presented her results at several international
conferences such as INFORMS 2005 &2006,
DSI 2005 and HICCS 2006. Her work was nominated
for a best paper award in HICCS 2006. After
receiving her PhD degree from University of Florida
in 2006, Fidan started serving as an assistant
professor in the Operations and Information Management
Department at the University of Connecticut. She
currently teaches courses on Business Information
Technology and Introduction to Databases. |
