Giri Narasimhan

Giri Narasimhan works in the areas of Bioinformatics, Data Mining, Machine Learning, and Algorithms. This Bioinformatics Research Group (BioRG), which he heads, works on problems from the fields of Bioinformatics and Biotechnology. The group's research projects includes comparative genomics, high performance bioinformatics applications, pattern discovery in biomolecular sequences and protein structures, micro-array data analysis, genomic databases and search environments, primer design, probe design, phylogenetic analysis, image processing, image analysis, and more. The group builds Bioinformatics tools using techniques from the fields of Algorithms, Data Mining, Computational Statistics, Neural Networks, and Image Processing. BioRG currently consists of 5 PhD students and 3 undergraduate students. Besides Bioinformatics, Giri Narasimhan has expertise in the area of geometric algorithms, algorithm design and analysis. His other interests are in data mining, computational statistics and theoretical computer science.

Giri Narasimhan's research has been supported by NSF and NIH. He has been a mentor for about 50 graduate and undergraduate students. He is the author of one book (“Geometric Spanner Networks”), one edited volume, and over 50 book chapters, journal publications, and refereed conference publications. He is on the editorial board of three international journals. He has been the dissertation advisor for five PhD students and over 20 MS students.

1. Mathee, Narasimhan, Lory, et al., “Dynamics of Pseudomonas aeruginosa genome evolution,” Proceedings of the National Academy of Sciences, In Press, 2008.
2. Buendia, Narasimhan, “Sliding MINPD: Building Evolutionary Networks of Serial Samples via an Automated Recombination Detection Approach,” Bioinformatics, 23(22):2993-3000, 2007.
3. Kuhn, Narasimhan, Nakamura, Brown, Schnell, Meerow, “Identification of Cacao TIR NBS-LRR resistance gene analogs and their use as genetic markers,” Journal of American Society for Horticultural Science, 131(6):806-813, 2007.
4. Yang, Mills, Mathee, Wang, Jayachandran, Sikaroodi, Gillevet, Entry, Narasimhan, “An ecoinformatics tool for microbial community studies: Supervised classification of Amplicon Length Heterogeneity (ALH) profiles of 16S rRNA,” Journal of Microbiological Methods, 65(1):49-62, 2006.
5. Renugopalakrishnan, Garduno-Juarez, Narasimhan, Verma, Wei, Li, “Rational Design of Thermally Stable Proteins: Relevance to Bionanotechnology,” Journal of Nanoscience and Nanotechnology, 5(11):1759-67, 2005.