Mehmet Dalkilic
Faculty Title
Associate Professor of Informatics
Research Statement
My research includes three areas: data mining, database, and bioinformatics. In data mining, I'm interested in novel classification techniques and their effective implementation. One of my current projects is adopting computer engineering techniques for circuit minimization to generate rules. Another project is the study and application of entropy to get a better understanding of the structure underlying the relational model. In database I'm working on query optimization through the use of entropy and modeling of XML.
In bioinformatics I'm working on two different kinds of projects. The first is an information system for the management of protein family annotations. This system - the PFA - is freeware for academic institutions that allows scientists to finally manage the rich information accumulated about mutations in protein families. The work is supported, in part, by IBM Life Sciences, INGEN, and University Information Technology Services (UITS) at IU. The second project is computational genomics - specifically, discovering techniques to better classify orthologous protein families. I am currently applying the novel classification technique from circuit minimization to this problem.
Grants Received
Agency: NSF
Project: Information Dependencies
Amount: $420,000
Agency: Shared University Resource Grant
Project: Shared computer resources - Protein Family Annotator
Amount: $500,000
Agency: INGEN project, funded by Lilly Endowment
Project: Protein Family Annotator
Amount: $55,000
Agency: IBM Life Sciences
Project: Protein Family Annotator
Amount: $35,000
More Information
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