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I always prefer to work in areas of science and engineering where high performance computing is critically needed. Bioinformatics is one of those areas which require processing of big data. My recent research work in this area involves “Gene Family Identification”. In collaboration with colleagues from Biological Sciences, we developed fast automated methods for the identification of functionally significant inverted repeats in whole genomes. The species under consideration were Arabidopsis and Soybean.. We have published several articles in these areas. In the past, I served on the editorial boards of several journals, on the UM Research Board, and as the co-Program and co-General chair for the annual BioSP3 workshop. I’m a IEEE Golden Core Member, recipient of Meritorious Service Award from IEEE Computer Society, three Faculty Excellence Awards from Missouri S&T, and a Best Paper Award.
D. McDonald, S. Sanchez, S. Madria, and F. Ercal, “A Survey of Methods for Finding Outliers in Wireless Sensor Networks.” Journal of Network and Systems Management, Sept. 2013.
D. McDonald, S. Madria, F. Ercal, R. Birmingham, T. Lake; “CTOD: Collaborative Tree-Based Outlier Detection in Wireless Sensor Networks”, MOBIWAC 2012: The 10th ACM* International Symposium on Mobility Management and Wireless Access, October 21 - 25, 2012, Cyprus
C. Kandoth, F. Ercal, and R. Frank, “Fast Automated Identification Of Functionally Significant Inverted Repeats In Whole Genomes,” The Seventh Annual Conference of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS 2010), Jonesboro, Arkansas, February 19-20, 2010.