Research
Up until not too long ago, I was a research assistant at the Data mining laboratory at MS Ramaiah Institute of Technology working under Dr KG Srinivasa.
My main research interests are in the areas of Pattern Recognition and Machine learning with Artificial Intelligence. I am interested in optimizing genetic algorithms. GAs are excellent tools to optimize a given function and find the most optimal value given any number of constraints. They however, tend to totter around a local maxima, which is an almost-optimal solution for the problem. The GA takes a considerably longer time to reach the global optima -- the desired solution -- than it does to reach the local maxima. I am interested in different solution techniques that will alleviate this problem in any GA. I am particularly interested in techniques that utilize multiple populations in order to reach the global optima.
Anuj and I have also worked on a genomic sequence storage and retreival system with error recovery.Current list of publications
- K.G. Srinivasa, Srichand Pendyala, Anuj Bhatt, Venugopal K.R, L.M. Patnaik "A Genetic Algorithm With Characteristic Amplification Through Multiple Geographically Isolated Populations And Varied Fitness Landscapes". Accepted to the 15th International Conference on Advanced Computing and Communication. June 2007
- K.G. Srinivasa, Srichand Pendyala, Anuj Bhatt, Venugopal K.R., L.M. Patnaik "MGIGA: An Iterative Merge Based Genetic Algorithm for Motif Discovery in Genomic Sequences". Accepted to the 7th International Conference on Computational Intelligence and Mobile Applications 2007. April 2007
- K.G. Srinivasa, Anuj Bhatt, Srichand Pendyala, Venugopal K.R, L.M. Patnaik "Storage and Matching Technique in Genomic Sequences for Approimate Motif Searching". Technical Report. Data Mining Research Laboratory, MS Ramaiah Institute of Technology. April 2007
- Anuj Bhatt, Srichand Pendyala, "Computational Approaches to the Motif Discovery Problem in Genomic Sequences" Undergraduate thesis, MS Ramaiah Institute of Technology. March 2007
- Srichand Pendyala, Maulik Patel "Motif Discovery on DNA sequences - A Survey". Technical Report. Michigan Technological University. October 2007
- K.G. Srinivasa, Srichand Pendyala, Anuj Bhatt, Venugopal K.R, L.M. Patnaik "An Alternative Model For Reinforcement Learning Using Genetic Algoriths With Multiple Geographically Isolated Populations". In-progress. Data Mining Research Laboratory, MS Ramaiah Institute of Technology. October 2007
- Srichand Pendyala "A Genetic Algorithm Framework for Generating Strongly Regular Graphs and Combinatorial Designs". In preparation for GECCO 2008. Michigan Technological University, December 2007