Lalitha Agnihotri holds a Ph.D. from Columbia University in Computer Science and has over 10 years of experience in the Data Mining/Statistical Analysis area. She has authored over 40 peer reviewed conference and journal papers and has presented at several international conferences. In addition, she has filed for over 50 patents and has over 20 patents granted. She has applied a wide variety of learning algorithms such as Hidden Markov Models, Genetic Algorithms, unsupervised clustering, etc., to manage the huge amount of data generated from multidimensional time series data and medical data and to enable applications such as segmentation, selection, and prediction of outcomes. Lalitha is currently the Senior Systems Analyst at New York Institute of Technology.
