Below are some of the research articles I have written, which you could download as pdf documents and view in your browser as well by clicking on the links below.

• Bayesian Auxiliary Particle Filters for Estimating Neural Tuning Parameters
  (with John Mountney and Iyad Obeid) published in EMBC 2009.
• Using Multiscale Random Fields for grouping shapes (with Longin Jan Latecki) published in NIPS 2008.
• Building correspondences between parts of shapes (with Rolf Lakaemper) published in IJCV 2009.
• A New study of Intervariable Correlation (with Mishra, B.) published in Communications in Statistics 2008.
• A Test for measuring Gustatory function (with Smutz, G., Lam S., Hastings L., and Desai, H.) published in The Laryngoscope 2008.
• Piecewise Linear models with guaranteed closeness to the data (with Longin Jan Latecki and Rolf Lakaemper (2009) IEEE Transactions on Pattern Analysis and Machine Intelligence)
• New EM Derived from Kullback Leibler Divergence (with Longin Jan Latecki) (Published in KDD 2006 proceedings.)

• Data Visualization by Distance Distortion Minimization (published in a special volume of Communcations in Statistics 2006 in honor of Milton Sobel)

• Clustering by Distance Projection in the Feature Space with          Applications to Video  Analysis  (with Longin Latecki, Steve Horvath, Rajagopal) (in pdf) published in IEEE 2003 Conference on Data Mining.

• Effective Feature Selection for Characterization and Classification of Spatial Region Data (published in  the 2004 conference on Artificial Intelligence)

•   Bayes and Empirical Bayes Procedures for Comparing Parameters (JASA, (1993))

•   Bayes and Minimax Sample Admissible Multivariate Selection Procedures (JASA, (1991))

•   Statistics of Natural Populations III: Sequential Sampling Plans for Estimating Gene Frequences (Biometrics, (1986))

I gave a talk on clustering by distance projection to IEEE in 2003. I gave a talk devoted to Improved Correlation in Microarray Data Analysis (joint with Bud Mishra) for the Biological Language Conference (2004) in Pittsburg. I gave a talk to the Biostatistics Department at Columbia University on, "Statistical Techniques for the Characterization of Regions in Noisy settings" on November 11, 2002. I gave a talk (2006) at the KDD conference in Philadelphia concerning "New EM Derived from KLD divergence (joint with Longin Jan Latecki and Rolf Lakemper). I gave a talk at ASA (2007) on Boosting. I gave a talk to CVPR (computer vision and pattern recognition) (joint with Rolf Lakaemper) in 2008. Finally, I gave a talk in the computer vision department of University of Pennsylvania in August 2008.  

I gave a series of colloquia to the CIS department of Temple on Bayesian statistics entitled,

My research is concerned almost entirely with Shape Correspondence, Engineering, and Bayesian inference. My current interests include:

• Neural Firing
• Shape Analysis and pattern recognition
• Sequential Markov Chain Monte Carlo Techniques
• Time-Motion Orientation and Body Posture.
• Multiresolution Markov Random Fields.

• Statistical Genetics and Bioinformatics
• The Hot hand in Sports
• Statistical Techniques for Partitioning and Multiple Comparisons.
• Construction and evaluation of choice strategies in Statistical Modeling.
• Bayesian modeling of ability.
• Admissible Estimators in exponential Families
• Relevant and semi-relevant betting schemes
• MRI image analysis
• Nonparametric Bayesian Inference for Marketing Analysis
• Robotics
• Contour Grouping

• Improved Estimation of Intervariable Correlation (with Bud Mishra) (published in Communications in Statistics, Vol 34, 2008.)

• Correspondences between Parts of Shapes with Particle Filters (with Rolf Lakaemper) in CVPR 2008 conference.

• New EM Derived from Kullback-Leibler Divergence (with Longin Jan Latecki, and Rolf Lakaemper) in ACM SIGKDD 2006 conference.

• Data Visualization by Distance Distortion Minimization (published in a special volume of Communcations in Statistics in honor of Milton Sobel (2006))

• Clustering by Distance Projection in the Feature Space with          Applications to Video  Analysis  (with Longin Latecki, Steve Horvath, Rajagopal) (in pdf) published in IEEE 2003 Conference on Data Mining.

• Effective Feature Selection for Characterization and Classification of Spatial Region Data (published in  the 2004 conference on Artificial Intelligence)

• Parametric Piecewise Linear Models with a Good Fit to the Data (to be published (2009) in a shorter form in IEEE Transactions on Pattern Analysis and Machine Intelligence) with Rolf Lakaemper and Longin Jan Latecki.
• Power point Files dealing with particle filters for tracking and neural firing (joint work with Iyad Obeid)
• Simple Tracking using classical Particle Filters
• Tracking using auxiliary particle filters
• Neural Firing via particle filters