Associate Professor, Computer Engineering and Sciences
Doctor of Philosophy in Electrical and Computer Engineering University of Florida 2008
Department of Engineering Systems (College of Engineering)
Florida Institute of Technology, Melbourne, FL
Chief Scientist (Advanced Analytics Group)
Northrop Grumman, Melbourne, FL
Harris Corporation - Government Communications Systems Division (GCSD), Melbourne, FL
Communications/Networking Initiative Manager
Intel Corporation, Chandler, AZ
Machine learning, computer vision, time series analysis, wavelet density estimation, shape matching.
Adrian Peter and Anand Rangarajan, Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation, IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2009, pp. 337 - 350.
Adrian Peter and Anand Rangarajan, Maximum Likelihood Wavelet Density Estimation with Applications to Image and Shape Matching, IEEE Transactions on Image Processing, April 2008, pp. 458 - 468.
Jeffrey Ho, Adrian Peter, Anand Rangarajan, and Ming-Hsuan Yang, An Algebraic Approach to Affine Registration of Point Sets, IEEE International Conference on Computer Vision (ICCV), 2009.
Adrian Peter, Anand Rangarajan and Jeffrey Ho, Shape Lne Rouge: Sliding Wavelets for Indexing and Retrieval, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. (Oral presentation.)
Adrian Peter and Anand Rangarajan, A New Closed-Form Information Metric for Shape Analysis, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2006, pp. 249-256. (Also presented at Mathematical Foundations of Computational Anatomy (MFCA), a workshop at MICCAI.)
Tariq Bakir, Adrian Peter, Ron Riley and Jay Hackett, Non-Negative Maximum Likelihood ICA for Blind Source Separation of Images and Signals with Application to Hyperspectral Image Subpixel Demixing, International Conference on Image Processing (ICIP), 2006, pp. 3237 - 3240.
Adrian Peter and Anand Rangarajan, Shape Matching Using the Fisher-Rao Riemannian Metric: Unifying Shape Representation and Deformation, IEEE International Symposium on Biomedical Imaging (ISBI), 2006, pp. 1164-1167.