ANUJ SRIVASTAVA, PhD, Fellow of IAPR. Distinguished Research Professor

Transcription

1 ANUJ SRIVASTAVA, PhD, Fellow of IAPR Professor and Distinguished Research Professor Florida State University March 13, 2016 Citizenship: Naturalized Citizen of the United States of America Home: Office: 3020 Grey Abbey Court OSB 106D Tallahassee, FL Department of Statistics Phone: (850) Florida State University Tallahassee, FL Phone:(850) , Fax: (850) Education: Doctor of Science in Electrical Engineering (1996) Washington University, St. Louis, MO Thesis title: Inferences on Transformation Groups Generating Patterns on Rigid Motions Thesis advisor: Prof. Michael I. Miller Master of Science in Electrical Engineering (1993) Washington University, St. Louis, MO Thesis title: Automated Target Tracking-Recognition Using Jump-Diffusion Processes Thesis advisor: Prof. Michael I. Miller Bachelor of Technology in Electronics Engineering (1990) Institute of Technology, Banaras Hindu University (IT-BHU), India Senior Project: Phoneme Synthesis Using Simulated Orthogonal functions Experience: Professor (2007 present) Distinguished Research Professor (2014 present) Department of Statistics Florida State University, Tallahassee, FL Associate Professor ( ) Department of Statistics Florida State University, Tallahassee, FL Assistant Professor ( ) Department of Statistics Florida State University, Tallahassee, FL Postdoctoral Research Associate ( ) Division of Applied Mathematics Brown University, Providence, RI Research Assistant Center for Imaging Sciences ( ) Electronic Systems and Signals Research Laboratory ( ) Washington University, St. Louis, MO

2 Summer Trainee ( ) Signal Processing Division, Vikram Sarabhai Space Research Center, India Visiting Positions: Senior Research Fellow, Durham University, Durham, UK (May July, 2016); Fulbright Research Scholar, University of Lille 1, Lille, France (September 2014 August, 2015); Visiting Professor, University of Lille, Lille, France (June - December, 2007; Summer, 2008, 2009, 2011, 2013); Visiting Professor, Universite de Auvergne, Clermont-Ferrand, France (May 2013); Visiting Professor, Catholic University of Louvain (UCL), Louvain-la-Neuve, Belgium (May, 2007); Visiting Professor, Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, France (May - August, 2006); Visiting Assistant Professor, Brown University, Providence, RI (Fall, 2001). Consulting Positions: Scientific Systems Company, Inc., Woburn, MA ( ) TriCircle Company, Tucker, GA ( ) Faculty Appointee at National Institute of Standards and Technology (NIST) ( ) Affiliations: Senior Member, IEEE; Fellow of International Association of Pattern Recognition (IAPR) Member, ASA Awards & Recognitions: General Recognition Research Innovation Alliance Award, The Northrop Grumman Company (2007) Senior Member, IEEE (2009) Faculty Appointee as Mathematical Statistician at Statistics Division, Information Technology Laboratory, National Institute for Standards and Technology (NIST), Gaithersberg, MD ( ). Senior Research Fellow at the Institute of Advanced Studies, Durham University, Durham, UK (2014); declined due to partial overlap with the Fulbright scholar award. Fulbright Scholar Award for given by J. William Fulbright Foundation to spend one year in University of Lille, France. Fellow of International Association of Pattern Recognition (IAPR) Senior Research Fellow at the Institute of Advanced Studies, Durham University, Durham, UK (May-July, 2016). FSU Awards Developing Scholar Award, Florida State University (2005) Dean s 90% Teaching List, Florida State University (Spring 2006, Spring 2008, Spring 2010, Spring 2011) Graduate Faculty Mentor Award, Florida State University (2008) Nominated for FSU Graduate Teaching Award (2010) Distinguished Research Professor Award, Florida State University (2014) Graduate Faculty Mentor Award, Florida State University (2015)

3 Conference Honors & Paper Awards Highest ranked paper in Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), held at Lisbon, Portugal (2003). Outstanding Reviewer Award, CVPR Conference (2010) Siemens Best paper award, Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) for the paper: S. Kurtek and A. Srivastava, Elastic Symmetry Analysis of Anatomical Structures (2012). IAPR/APRS Best Paper Award at Digital Image Computing: Techniques and Applications (DICTA) for the paper: H. Laga, S. Kurtek, A. Srivastava, M. Golzarian and S. Miclavcic, A Riemannian Elastic Metric for Shape-Based Plant Leaf Classification (2012). Keynote Speaker, International Workshop on 3D Object Retrieval (in conjunction with ACM-MM conference), Florence, Italy (2010). Plenary Speaker at International Conference on Image Processing (ICIP), the premier international conference in image processing (> 1000 attendees), Melbourne, Australia, September Best Scientific Paper Award, Track 2 of International Conference on Pattern Recognition (ICPR) for the paper: F. Souza, S. Sarkar, A. Srivastava, and J. Su, Pattern Theory Based Interpretation of Activities, Stockholm, Outstanding Reviewer Award, CVPR Conference (2015) Keynote Speaker, 1 st International Workshop on Differential Geometry in Computer Vision for Analysis of Shapes, Images, and Trajectories, in conjunction with BMVC 2015, Swansea, UK, September Awards As Student University Grants Commission (India) Merit Scholarship ( ) Director s Award at IT-BHU, Electronics Department First Rank, India (1987 & 1989) Electrical Engineering Doctoral Fellowship, Washington University ( ) Recognitions to My Students for Joint Research Rob Neher: Ralph A. Bradley award for best dissertation in the department for the year Chafik Samir: Best paper prize for a doctoral student at CORESA, France (2006). Shantanu Joshi: FSU Graduate Student Research Creativity Award (2007), given to best dissertations in FSU, only two given every year in STEM Areas. Shantanu Joshi: Selected for Feature Profile on FSU Website (2007) Nikolay Balov: Ralph A. Bradley award for best dissertation in the department for the year Sebastian Kurtek: First Runner-up for Francois Erbsmann prize at IPMI (2011). Recent Conference Travel Awards: Wei Liu (ACM-BCB 2010), Sebastian Kurtek (IPMI 2011), Sebastian Kurtek (NIPS 2011), Jose Laborde (IEEE BIBM 2011), Qian Xie (ICCV 2013). Sebastian Kurtek: FSU Graduate Student Research Creativity Award (2012), given to best dissertations in FSU, only two given every year in STEM Areas. Sebastian Kurtek: Ralph A. Bradley award for best dissertation in the department for the year 2012.

4 Jingyong Su: FSU Graduate Student Research Creativity Award (2013), given to best dissertations in FSU, only two given every year in STEM Areas. Jingyong Su: Ralph A. Bradley award for best dissertation in the department for the year Qian Xie: Ermine M. Owenby, Jr. travel award from FSU. Michael Rosenthal: ENAR distinguished paper award for 2014 and funds to present the paper at ENAR meeting in Baltimore, MD. Qian Xie: FSU Graduate Student Research Creativity Award (2014), given to best dissertations in FSU, only two given every year in STEM Areas. Darshan Bryner: Ralph A. Bradley award for best dissertation in the department for the year Zhengwu Zhang: FSU Graduate Student Research Creativity Award (2015), given to best dissertations in FSU, only two given every year in STEM Areas. Zhengwu Zhang: Ralph A. Bradley award for best dissertation in the department for the year SERVICE TO THE COMUNITY Conference Technical Committee, Reviewer: Statistical Signal Processing Workshop (2003,2012), ICPR (2004,2010,2012,2014), Biometrics Symposium (2004), CVPR ( ), ECCV ( ), EMMCVPR (2005, 2007), ICASSP (2007), ICCV (2007, 2009, 2011, 2013), MICCAI (2008), ICB (2011), MFCA (2011, 2013), WBIR (2012), BAMBI (2014). Served on the awards committee for CVPR Area Chair for Track II, ICPR Awards committee for ICIP Area Chair for ICCV Organization of Special Sessions at Conferences: 1. Invited session on Target Recognition (with K. Simonson), Spring Research Conference on Statistics in Industry and Technology, Santa Fe, NM, June Two-session mini-symposium on Bayesian Hierarchical Models for Image Analysis (with H. Krim), First SIAM Conference on Imaging Science, Boston, MA, March A session on Image Analysis Applications (with H. Krim), at Asilomar Conference on Signals, Systems, and Computers, November An invited Session on Differential Geometric Methods in Signal and Image Processing at 12 th IEEE Workshop on Statistical Signal Processing, St. Louis, August An invited Session on Shape Analysis at EURASIP, 2004, Vienna, Austria. 6. A special session on Statistical Inference on Nonlinear Manifolds at International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May A topic-contributed session at JSM 2012 on Function Registration Methods. 8. An invited session on Image Analysis in International Bayesian Statistics Association (ISBA) Regional Meeting in Varanasi, India, January An invited session on Statistics and Nonlinear Manifolds at International Indian Statistical Association (IISA) Annual Meeting in Riverside, CA, July An invited mini symposium on Statistical Techniques on Nonlinear Manifolds for Analysis of Imaging Data at SIAM Conference on Imaging Science, Hongkong, May 2014.

5 Organization of Workshops: 1. An AIM (American Institute of Mathematics) workshop titled Statistical Inferences on Shape Manifolds (with Washington Mio and David Mumford), Palo Alto, May (Approx. 40 attendees) 2. An ARO Sponsored Workshop on Challenges and Opportunities in Image Understanding, Washington DC, January (Approx. 30 attendees) 3. A Workshop on Statistics of Time Warpings and Phase Variations (with Jim Ramsay, Steve Marron, and Laura Sangalli) at Mathematical Biosciences Institute (MBI) at The Ohio State University, Columbus, OH, November (Approx. 40 attendees) Reviewership: IEEE Trans. on Signal Processing; IEEE Trans. on Systems, Man & Cybernetics: IEEE Trans. on Pattern Analysis & Machine Intelligence, IEEE Trans. on Information Theory; NSF; International Journal of Adaptive Control and Signal Processing; Journal of Statistical Planning and Inference; International Journal of Robotics and Automation; Swedish Research Council for Engineering Sciences; International Journal of Computer Vision; IEEE Transactions on Bio-Medical Engineering; Journal of Computer Vision and Image Understanding: Communications in Statistics; ONR; IEEE Aerospace and Electronic Systems; ARO; IEEE Transactions on Image Processing; Canadian National Science Foundation; FNRS (Belgian National Science Foundation); Annals of Statistics; Annals of Applied Statistics; Journal of Multivariate Statistical Analysis; Journal of Computational Statistics and Data Analysis; IEEE Transactions in Image Processing; Electronic Journal of Statistics. Served on NSF Review Panels in 2003, 2007, 2009, 2012, 2013 (twice), and 2014 (twice), 2015; NIH panel in Editorship: 1. Associate Editor, Journal of Statistical Planning and Inference ( ) 2. Associate Editor, IEEE Transactions on Signal Processing ( ) 3. Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence ( ) 4. Section Editor, Image Processing, Elsevier s Signal Processing References ( ) 5. Guest editor, Special Issue of IEEE Transactions on Pattern Analysis and Machine Intelligence on Shape Modeling ( ). 6. Associate Editor, IEEE Transactions on Image Processing (2013 now) TEACHING & FSU SERVICE Courses Taught: Fall , : Computational Statistics I Spring 1998, Fall 1998, Spring 1999: Fundamental Business Statistics Fall 1999, Spring 2011, Fall 2011: Introduction to Probability Spring : Computational Statistics II Fall 2000: Intermediate Level Statistics Spring 2002: Special Topics (Information Theory) Spring 2007: Special Topics (General Pattern Theory) Spring 2009, Spring 2011: Special Topics (Statistical Shape Analysis) Fall 2011: Special Topics (Monte Carlo Methods in Finance) Fall 2012: Special Topics (Spatial Point Process) Fall 2013, Fall 2014: Functional and Shape Data Analysis Spring 2014: Introduction to Mathematical Statistics Fall 2014: Functional and Shape Data Analysis Administrative Responsibility: Chair, Computer Acquisition & Maintenance Committee ( )

6 Chair, Colloquium Committee ( ) Member, FSU CSIT Curriculum Committee (2000) Coordinator, Laboratory for Computational Vision ( ) Faculty Senator ( ) Chair, Academic Affairs Committee ( ) Member, Department Faculty Recruitment Committee ( ) Member, Department Executive Committee ( ) Member, Department Chair Search Committee ( , , ) RESEARCH FUNDING SUPPORT Past and Current Funding: 1. ARO DURIP Equipment Award: (as Co-PI) : , $86K PI: J. Sethuraman Title: Research on Algorithms and Performance in Bayesian ATR 2. FSU First Year Asst Professor Award (as PI): 1998, $10K Title: Bayesian Techniques for Image Understanding 3. NSF MRI Research Instrumentation Award (as Co-PI): , $189K PI: J. Sethuraman, other Co-PI: D. Sumners Title: Acquisition of Equipment for Research in Image Understanding 4. ARO Single Investigator Award (as PI): , $156K Title: Research on Applications of Bayesian Automated Target Recognition System 5. FSU Research Equipment Support: 2000, $100K 6. AMCOM/Dynatech (as PI): , $16K Title: Nonlinear Regression Techniques for Prediction of Infrared Images 7. NIMA University Research Initiative (as Co-PI): , $287K PI : X. Liu Title : Computational Models and Algorithms for Automated Terrain and Target Recognition 8. NSF Focused Research Group Program (as PI) : , $522K Co-PIs : G. Erlebacher, E. Klassen, D. Banks Title: Development of Geometrical and Statistical Models for Visual Scene Processing 9. FSU Cornerstone PEG Grant (as Co-PI) : , $100K PI: David Banks Title: Multi-Dimensional Brain Imaging and Analysis 10. NSF Information and Intelligent Systems (as Co-PI) : , $342K PI : Xiuwen Liu Title : Seeking Optimal Representations, Classifiers and Generalizations for Image Based Recognition 11. NSF DMS and Intelligence Community (as Co-PI) : , $100K PI : W. Mio

7 Title : SGER ACT : Stochastic Shape Analysis for Recognizing and Tracking Objects in Images and Videos 12. ARO Single Investigator Program (as PI) : , $323K Co-PIs : X. Liu and W. Mio Title : Research on Statistical Shape Theory with Applications in Image Understanding. 13. ARO Defense University Research Instrumentation Program (as PI) : , $347K Co-PIs : X. Liu, W. Mio, and T. Baker Title : A Laboratory for Real-Time Systems in Computer Vision Applications. 14. AIM (American Institue of Mathematics) Workshop : 2005 Co-Organizers : W. Mio and D. Mumford. Title : Statistical Inferences on Shape Manifolds 15. NSF Computing and Communicating Foundations (as Co-PI) : , $470K PI : W. Mio, other Co-PI : X. Liu Title : Algorithmic Riemannian Geometry for a Statistical Analysis of Images 16. FSU Developing Scholar Award : , $10K 17. FSU Equipment and Infrastructure Enhancement Grant (EIEG) (as PI): 2005, $35K Co-PI: X. Liu Title: Acquisition of a Hyperspectral Camera for Image Analysis 18. AFOSR FA (PI for FSU, Co-PI of the project) : , $500K Title : Integrated Fusion, Performance Prediction and Sensor Management for Automatic Target Exploitation. Other Universities : Ohio State (lead), MIT, Boston Univ., and Univ. Of Michigan. 19. INRIA, Sophia Antipolis, France : Visiting Professor Salary for four months, from May August, CNRS, France Grant : Visiting Professor Salary for four months during , to visit ENIC, University of Lille, Lille, France. 21. ARO Workshop Grant (as PI) : , $21K Title: ARO Workshop on Challenges and Opportunities in Mathematical Image Analysis and Understanding 22. Northrop-Grumman Innovation Alliance Grant (as PI) : , $25K Title: Shape-Based Exploitation Tools for ATR. 23. ARO Single Investigator Program (as PI) : , $50K, One-year Add-on Title: Research on Statistical Shape Theory with Applications in Image Understanding. 24. ONR N (PI for FSU): , $450K (Collaborative Grant with UMD) Co-PI: Adrian Barbu Title: Statistical and Semantic Approaches for Object, Activity, and Intent Recognition 25. NSF DMS (PI): , extended to 2013, $400K Co-PI: Adrian Barbu and Eric Klassen

8 Title: Research on Shape Detection and Classification in Cluttered Point Clouds 26. NSF DMS (PI): , $250K Co-PI: Wei Wu Title: A New Paradigm in Joint Registration, Analysis, and Modeling of Functional Data 27. NIH R21 Proposal (Co-PI): , $381K PI: Jinfeng Zhang Title: Elastic Shape Analysis for Protein Structure Alignment 28. NSF IIS (PI for FSU): , $247K Title: RI Small Collaborative Research: Ontology Based Perceptual Organization of Audio-Video Events Using Pattern Theory (Collaboration with Prof. Sudeep Sarkar, USF, PI of the full project). 29. NSF CCF (PI for FSU): , $175K Title: CCF Small Collaborative Research: Geometry-Aware and Data-Adaptive Signal Processing for Resource Constrained Activity Analysis (Collaboration with Prof. Pavan Turaga, ASU, PI of the full project). Grant Proposals Under Consideration: GRADUATE STUDENT MENTORSHIP Current PhD Students: 1. Adam Duncan: (3 rd year student) 2. Kyungmin Ahn (3 rd year student) 3. Megan Duncan: (3 rd year student) 4. Sutanoy Dasgupta (3 rd year student) 5. Xiaoming Dong (2 nd year student) 6. Menyu Dai (2 nd year student) 7. Ruiyi Zhang (2 nd year student) Graduated PhD Students: 1. Mick Smith (PhD Statistics, 2003), Thesis Title: Bayesian Sensor Fusion for Multi- Modal Sensing in Battleground Scenarios. 2. Rob Neher (PhD Statistics, 2004), Thesis Title: Bayesian Markov Random Field Framework for Terrain Labeling Using Hyperspectral Imaging. 3. Dave Kaziska (PhD Statistics, 2005), Thesis Title: Statistical Models on Shape Spaces with Applications to Human Gait Recognition. 4. Evgenia Rubenshtein (PhD Statistics, 2006), Thesis Title: Optimal Linear Representations of Images Under Diverse Criteria.

9 5. Shantanu Joshi (PhD EcE, 2007), Thesis Title: Inferences in Shapes Spaces with Applications to Computer Vision. Currently Research Assistant Professor at UCLA. 6. Chafik Samir (PhD CS, 2007, Univ. of Lille, France), Co-supervised with Prof. Mohamed Daoudi), Thesis Title: Analyse des Deformations des Visage 3D Utilisant les Chemins Geodesiques dans L Espace des Surface Faciales. Currently Associate Professor in University of Claremont-Ferrand, France. 7. Nikolay Balov (PhD Statistics, 2009), Thesis Title: Covariance on Manifolds. 8. Moeti Ncube (PhD Statistics, 2009), Co-supervised with Prof. James Doran of FSU. Thesis Title: Stochastic Models and Inferences for Commodity Pricing. 9. Muffasir Badshah (PhD Statistics, 2010), Co-supervised with Prof. Paul Beaumont of FSU. Thesis Title: Computation of the Wealth Distribution in a Heterogeneous Agent Economy. 10. Sentibaleng Ncube (PhD Statistics, 2011), Thesis Title: A Novel Riemannian Metric for Analyzing Spherical Functions with Applications to HARDI Data. 11. Wei Liu (PhD Statistics, 2011), Co-supervised with Jinfeng Zheng, Thesis Title: A Riemannian Framework for Annotated Curve Analysis. 12. Sebastian Kurtek (PhD Statistics, 2012), Thesis Title: Riemannian Shape Analysis of Curves and Surfaces. Currently Assistant Professor at the Ohio State University. 13. Jingyong Su (PhD Statistics, 2013), Thesis Title: Statistical Analysis of Trajectories on Riemannian Manifolds. Currently Assistant Professor at the Texas Tech University. 14. Jose Laborde (PhD Statistics, 2013), Co-supervised with Jinfeng Zheng, Thesis Title: Elastic Shape Analysis of RNAs and Proteins. 15. Darshan Bryner (PhD Statistics, 2013), Co-supervised with Eric Klassen, Thesis Title: 2D Affine and Projective Shape Analysis, and Bayesian Elastic Active Contours. Currently Research Engineer at the NSWC, Panama City. 16. Derek Tucker (PhD Statistics 2014), Co-supervised with Wei Wu, Thesis Title: Functional Component Analysis and Regression Using Elastic Methods. Currently Staff Scientist at Sandia National Labs. 17. Michael Rosenthal (PhD Statistics 2014), Co-supervised with Wei Wu, Thesis Title: Parametric and Nonparametric Spherical Regression With Diffeomorphisms. Currently Research Engineer at the NSWC, Panama City. 18. Wade Henning (PhD Statistics, 2014), Thesis Title: A Framework for Comparing Shape Distributions. 19. Zhengwu Zhang (PhD Statistics, 2015), Thesis Title: Geometric Approaches for Analysis of Images, Densities, and Trajectories on Manifolds. Currently Postdoctoral Researcher at SAMSI.

10 20. Qian Xie (PhD Statistics, 2015), Thesis Title: Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Objects. Currently Staff Member at Amazon.com. Served or Serving on Thesis Committees of Students Other Than Those I Directed: MS Students: Donghu Sun (MS, Computer Science, 2003); Chris Baker (MS, Computer Science, 2004). PhD Students: Marc Loizeaux (Statistics, 2001); Adnan Bashir (Industrial Engineering, 2002); Feiming Chen (Statistics, 2003); Wankang Zhao (Computer Science, 2003), Marcus Perry (Industrial Engineering, 2004); Huicheng Zhang (University of Lille, EE, France, 2004); Ana-Maria Croicu (Mathematics, 2005); Wayne Wesley (Industrial Engineering, 2006); Guillaume Perrin (Electrical Engineering, INRIA, France, 2006); Amal Aafif (Mathematics, Drexel University 2007); Florent Lafarge (CS, Ecoles des Mines de Paris/INRIA, France, 2007); Camille Izard (Mathematics, USTL, France, 2008); Chris Baker (SCS, 2008); A. Veeraraghavan (ECE, University of Maryland, 2008); Julien Tierny (CS, USTL, France, 2008); Edwin Jimenez (Mathematics, 2009); Maria Kulikova (CS, University of Nice in Sophia Antipolis, France 2009); Donald Mattison (Art Therapy, 2012); Motoi Namihira (Mathematics, 2013); Hieu Thai (Electrical Engineering, ongoing); Cesar Costa (Applied Mathematics, ongoing); Onyekachi Acholem (Electrical Engineering, 2010); Vernon Lawhern (Statistics, 2011); Kerem Bingol (Chemistry, January 2013); Meena Mani (Signal Processing, IRISA, Rennes, France, 2011); Guifeng Liu (Electrical Engineering, ongoing); Hassen Drira (CS, University of Lille, France, July 2011); Rommel Bain (Statistics, 2012); Daniel Robinson (Mathematics, 2012); Yanyan He (Mathematics, 2013); Linda Crystal White (Mathematics, 2013); Michal Palczewski (Scientific Computing, May 2013); Yaning Liu (Applied Mathematics, 2013); Kirandeep Guman (Electrical Engineering, November 2015); Sayani Lahiri (Mathematics, did not finish); Alejandro Mottini (INRIA, Sophia Antipolis, 2014); Xiaofang Wang (Ecole Centrale de Lyon, served as the President of the jury, 2015). RESEARCH PUBLICATIONS Books or Monographs 1. A. Srivastava and E. Klassen, Functional and Shape Data Analysis, Springer Series in Statistics, expected publication, summer Edited Volume: M. Daoudi, A. Srivastava, and R. Veltkamp, 3D Face Modeling, Analysis, and Recognition, Wiley, Edited Volume: P. Turaga and A. Srivastava, Riemannian Computing in Computer Vision, Springer, September Published in Peer-Reviewed Journals

11 1. A. Srivastava, M. I. Miller and U. Grenander, Multiple Target Direction of Arrival Tracking, IEEE Transactions on Signal Processing, vol. 43, no. 5, pages , May M. I. Miller, A. Srivastava and U. Grenander, Conditional-Mean Estimation via Jump Diffusion Processes in Multiple Target Tracking/Recognition, IEEE Transactions on Signal Processing, vol. 43, no. 11, pages , November U. Grenander, M. I. Miller and A. Srivastava, Hilbert-Schmidt Bounds on Matrix Lie Groups for ATR, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pages , August A. Srivastava, A Bayesian Approach to Geometric Subspace Estimation, IEEE Transactions on Signal Processing, vol. 48, no. 5, pages , May U. Grenander, A. Srivastava and M. I. Miller, Asymptotic Performance Analysis of Bayesian Object Recognition, IEEE Transactions on Information Theory, vol. 46, no. 4, pages , July U. Grenander and A. Srivastava, Probability Models for Clutter in Natural Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 4, pages , April A. Srivastava and E. Klassen, Monte Carlo Extrinsic Estimators for Manifold-Valued Parameters, IEEE Transactions on Signal Processing, vol. 50, no. 2, pages , February A. Srivastava, U. Grenander, G. Jensen and M. I. Miller, Jump-Diffusion Markov Processes on Orthogonal Groups for Object Recognition, Journal of Statistical Planning and Inference, vol. 103, no. 1-2, pages 15-37, April A. Srivastava, X. Liu, and U. Grenander, Universal Analytic Forms for Modeling Image Probabilities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pages , September A. Srivastava, Stochastic Models for Capturing Image Variability, IEEE Signal Processing Magazine, vol. 19, issue 5, pages 63-76, September A. Srivastava, A. B. Lee, E. P. Simoncelli, and S-C. Zhu, On Advances in Statistical Modeling of Natural Images, Journal of Mathematical Imaging and Vision, vol. 18, pages 17-33, January X. Liu, A. Srivastava, and D. Wang, On Intrinsic Generalization of Low Dimensional Representations of Images for Recognition, Neural Networks, vol.16, no. 5 and 6, pages , June A. Srivastava and X. Liu, Statistical Hypothesis Pruning for Recognition of Faces in Infrared Images, Journal of Image and Vision Computing, vol. 21, no. 7, pages , July A. Srivastava and E. Klassen, Bayesian and Geometric Subspace Tracking, Journal of Advances in Applied Probability, vol. 36, no. 1, pages 43-56, March E. Klassen, A. Srivastava, W. Mio and S. Joshi, Analysis of Planar Shapes using Geodesic Paths on Shape Spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, no. 3, pages , March X. Liu, A. Srivastava and K. Gallivan, Optimal Linear Representations of Images for Object Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 5, pages , May 2004.

12 17. W. Mio, A. Srivastava, and E. Klassen, Interpolations with Elasticae in Euclidean Spaces, Quarterly of Applied Mathematics, vol. LXII, no. 2, pages , June A. Srivastava, S. Joshi, W. Mio, and X. Liu, Statistical Shape Analysis: Clustering, Learning, and Testing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 4, pages , April R. Neher and A. Srivastava, A Bayesian MRF Framework for Labeling Terrain Using Hyperspectral Images, IEEE Transactions on Geosciences and Remote Sensing, vol. 43, no. 2, pages , June A. Srivastava and X. Liu, Tools for Application-Driven Dimension Reduction, Journal of Neurocomputing, vol. 67, pages , A. Srivastava, X. Liu, and C. Hesher, Face Recognition Using Optimal Linear Components of Range Images, Journal of Image and Vision Computing, vol. 24, no. 3, pages , March W. Mio, A. Srivastava, and X. Liu, Contour Inferences for Image Understanding, International Journal of Computer Vision, vol. 69, no. 1, pages , August C. Samir, A. Srivastava, and M. Daoudi, Three-Dimensional Face Recognition Using Shapes of Facial Curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 11, pages , November W. Mio, A. Srivastava, and S. Joshi, On Shape of Plane Elastic Curves, International Journal of Computer Vision, vol. 73, no. 3, pages , July U. Grenander, A. Srivastava and S. Saini, A Pattern-Theoretic Characterization of Biological Growth, IEEE Transactions on Medical Imaging, vol. 26, no. 5, pages , November D. Kaziska and A. Srivastava, Classification of Cyclostationary Processes on Nonlinear Shape Manifolds for Gait-Based Human Recognition, Journal of American Statistical Association, vol. 102, no. 480, pages , December Comments by K. Mardia, R. Chellappa and A. Veeraghavan. Published with a rejoinder page:1127, same issue. 27. D. Kaziska and A. Srivastava, The Karcher Mean of a Class of Symmetric Distributions on a Unit Circle, Statistics and Probability Letters, vol. 78, pages , A. Srivastava, C. Samir, S. H. Joshi, and M. Daoudi, Elastic Shape Models for Face Analysis Using Curvilinear Coordinates, Journal of Mathematical Imaging and Vision, vol. 33, no. 2, pages , February M.-C. Chiang, M. Barysheva, D. Shattuck, A. Lee, S. K. Madsen, C. Avedissian, A. D. Klunder, A.Toga, K. McMahon, G. De Zubicaray, M. Wright, A. Srivastava, N. Balov, and P. Thompson, Genetics of Brain Fiber Architecture and Intellectual Performance, Journal of Neuroscience, vol. 29, no. 7, , February S. Joshi and A. Srivastava, Intrinsic Bayesian Active Contours for Extraction of Object Contours in Images, International Journal of Computer Vision, vol. 81, no. 3, pages , March C. Samir, A. Srivastava, M. Daoudi, and E. Klassen, An Intrinsic Framework for Analysis of Facial Surfaces, International Journal of Computer Vision, vol. 82, no. 1, pages 80-95, April 2009.

13 32. A. Veeraraghavan. A. Srivastava, A. K. Roy-Chowdhury and R. Chellappa, Rate-invariant recognition of humans and their activities, IEEE Transactions on Image Processing, vol. 8, issue 6, pages , June B. Ben Amor, H. Drira, L. Ballihi, A. Srivastava, and M. Daoudi, An Experimental Illustration of 3D Facial Shape Analysis Under Facial Expressions, Annals of Telecommunications, vol. 64, no. 5, pages , June A. Srivastava and I. H. Jermyn, Looking for Shapes in Two-Dimensional, Cluttered Point Cloud, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 9, pages , September E. Rubenshtein and A. Srivastava, Optimal Linear Projections for Enhancing Desired Data Statistics, Journal of Statistics and Computing, vol. 20, no. 3, pages , July D. Kaziska and A. Srivastava, Joint Gait-Cadence Analysis for Human Identification Using An Elastic Shape Framework, Communications in Statistics Theory and Methods, vol. 39, no. 19, pages , May W. Wu and A. Srivastava, Towards Statistical Summaries of Spike Train Data, Journal of Neuroscience Methods, vol. 195, issue 1, pages: , January W. Liu, A. Srivastava, and J. Zhang, A Mathematical Framework for Protein Structure Comparison, PLOS Computational Biology, vol. 7, issue 2, pages: 1-10, February S. Kurtek, E. Klassen, Z. Ding, S. Jacobson, J. L. Jacobson, M. J. Avison, and A. Srivastava, Parameterization-Invariant Shape Comparisons of Anatomical Surfaces, IEEE Transactions on Medical Imaging, vol. 30, issue 3, pages: , March M. F. Abdelkader, W. Abd-Almageed, A. Srivastava, and R. Chellappa, Gesture and Action Recognition via Modeling Trajectories on Shape Manifolds, Computer Vision and Image Understanding Journal, vol. 115, issue 3, pages , March A. Srivastava, E. Klassen, S. Joshi, and I. Jermyn, Shape Analysis of Elastic Curves in Euclidean Spaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, issue 7, pages , July A. Maalej, B. Ben Amor, M. Daoudi, A. Srivastava, and S. Berretti, Shape Analysis of Local Patches for 3D Facial Expression Recognition, Pattern Recognition, vol. 44, issue 8, pages , August P. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa, Statistical Computations on Special Manifolds for Image and Video-Based Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, issue 11, pages , November W. Wu and A. Srivastava, An Information-Geometric Framework for Statistical Inferences in the Neural Spike Train Space, Journal of Computational Neuroscience, volume 31, number 3, pages , November C. Samir, P.-A. Absil, A. Srivastava and E. Klassen, A Gradient-Descent Method for Curve Fitting on Riemannian Manifolds, Foundations of Computational Mathematics, volume 12, number 1, pages 49-73, January 2012.

14 46. A. Srivastava, P. Turaga, and S. Kurtek, On Advances in Geometric Approaches for 2D and 3D Shape Analysis and Activity Recognition, Journal of Image and Vision Computing, volume 30, number 6-7, pages , June J. Su, I. L. Dryden, E. Klassen, H. Le and A. Srivastava, Fitting Optimal Curves to Time-Indexed, Noisy Observations on Nonlinear Manifolds, Journal of Image and Vision Computing, volume 30, number 6-7, pages , June S. Kurtek, E. Klassen, J. Gore, Z. Ding, and A. Srivastava, Elastic Geodesic Paths in Shape Spaces of Parameterized Surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 34, number 9, pages , September S. Kurtek, A. Srivastava, E. Klassen, and Z. Ding, Statistical Modeling of Curves Using Shapes and Related Features, Journal of American Statistical Association, volume 107, number 499, pages , October L. Ballihi, B. Ben Amor, M. Daoudi, and A. Srivastava, D. Aboutajdine, Boosting 3D-Geometric Features for Efficient 3D Face Recognition and Gender Classification, IEEE Transactions on Information Forensics and Security, volume 7, issue 6, pages , M. Badshah, P. Beaumont, and A. Srivastava, Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets, and Idiosyncratic Risk, Journal of Computational Economics, volume 41, number 2, pages: , January J. Su, F. Huffer, and A. Srivastava, Detection, Classification and Estimation of Shapes in 2D and 3D Point Clouds, Computational Statistics and Data Analysis, volume 58, pages , February J. D. Tucker, W. Wu, and A. Srivastava, Generative Models for Functional Data Using Phase and Amplitude Separation, Computational Statistics and Data Analysis, volume 61, pages 50-66, May S. Kurtek, A. Srivastava, E. Klassen and H. Laga, Landmark-Guided Elastic Shape Analysis of Spherically-Parameterized Surfaces, Computer Graphics Forum, volume 32, number 2, part 4, pages , May W. Wu and A. Srivastava, Estimating Summary Statistics in Spike Train Space, Journal of Computational Neuroscience, volume 34, number 3, pages , June S. Kurtek, W. Wu, G. E. Christensen, and A. Srivastava, Segmentation and Statistical Analysis of Biosignals with Application to Disease Classification, Journal of Applied Statistics, volume 40, number 6, pages , June J. Laborde, D. Robinson, A. Srivastava, E. Klassen, and J. Zhang, RNA Alignment in the Joint Sequence-Structure Space Using Elastic Shape Analysis, Journal of Nucleic Acids Research, vol. 41, number 11, e114, June Z. Zhang, E. Klassen, and A. Srivastava, Gaussian-Blurring Invariant Comparisons of Signals and Images, IEEE Transactions on Image Processing, volume 22, number 8, pages , August H. Drira, B. Ben Amor, A. Srivastava, M. Daoudi, and R. Slama, 3D Face Recognition Under Expressions, Occlusions, and Pose Variations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, number 9, pages , September S. Kurtek, J. Su, C. Grimm, M. Vaughan, R. T. Sowell, and A. Srivastava, Statistical Analysis of Manual Segmentations of Structures in Medical Images, Computer Vision and Image Understanding, vol. 117, number 9, pages , 2013.

15 61. D. Bryner, A. Srivastava, and Q. Huynh, Elastic Shape Models for Improving Segmentation of Object Boundaries in Synthetic Aperture Sonar Images, Computer Vision and Image Understanding, vol. 117, number 12, pages , December J. Su, S. Kurtek, E. Klassen, and A. Srivastava, Statistical Analysis of Trajectories on Riemannian Manifolds: Bird Migration, Hurricane Tracking, and Video Surveillance, Annals of Applied Statistics, vol. 8, number 1, pages , April J. D. Tucker, W. Wu, and A. Srivastava, Analysis of Signals Under Compositional Noise With Applications to SONAR Data, IEEE Journal on Oceanographic Engineering, vol. 39, number 2, pages , April C. Samir, S. Kurtek, A. Srivastava, and M. Canis, Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization, IEEE Transaction on Medical Image Analysis, vol. 33, issue 5, pages , May D. Bryner, E. Klassen, H. Le, and A. Srivastava, 2D Affine and Projective Shape Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, issue 5, pages , May R. Li, P. Turaga, A. Srivastava, and R. Chellappa, Differential Geometric Representations and Algorithms for Some Pattern Recognition and Computer Vision Problems, Pattern Recognition Letters, vol. 43, number 1, pages 3-16, July G. He, A. Steppi, J. Laborde, A. Srivastava, P. Zhao, and J. Zhang, RASS: A Webserver for RNA Alignment in the Joint Sequence-Structure Space, Nucleic Acid Research, May 2014, doi: /nar/gku W. E. Wallace, A. Srivastava, K. H. Telu and Y. Simon-Manso, Pairwise Alignment of Chromatograms using an Extended Fisher-Rao Metric, Analytica Chimica Acta, vol. 841, pages 10-16, September H. Laga, S. Kurtek, A. Srivastava, and S. J. Miklavcic, Landmark-Free Statistical Analysis of the Shape of Plant Leaves, Journal of Theoretical Biology, volume 363, pages 41-52, August J. S. Marron, J. O. Ramsay, L. M. Sangalli, and A. Srivastava, Statistics of time warpings and phase variations, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, number 2, pages , Components in a large discussion paper: 1. W. Wu, N. Hatsopoulos and A. Srivastava, Introduction to Neural Spike Train Data for Phase- Amplitude Analysis, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, number 2, pages , W. Wu and A. Srivastava, Analysis of Spike Train Data: Alignment and Comparisons Using Extended the Fisher-Rao Metric, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, number 2, pages , W. Wu, N. Hatsopoulos and A. Srivastava, Analysis of Spike Train Data: Discussion of Results, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, number 2, pages , J. D. Tucker, W. Wu, and A. Srivastava, Analysis of Proteomics Data: Phase Amplitude Separation Using an Extended Fisher-Rao Metric, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, pages , 2014.

16 73. S. Kurtek, Q. Xie, and A. Srivastava, Analysis of juggling data: Alignment, Extraction, and Modeling of Juggling Cycles, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, pages , Q. Xie, S. Kurtek, and A. Srivastava, Analysis of Aneurisk65 data: Elastic Shape Registration of Curves, Electronic Journal of Statistics, Special Section on Statistics of Time Warpings and Phase Variations, vol. 8, pages , B. Ben Amor, H. Drira, S. Berretti, M. Daoudi, and A. Srivastava, 4D Facial Expression Recognition by Learning Geometric Deformations, IEEE Transactions on Cybernetics, volume 44, issue 12, pages , November M. Rosenthal, W. Wu, E. Klassen, and A. Srivastava, Spherical Regression Models Using Projective Linear Transformations, Journal of American Statistical Association, volume 109, number 508, pages , December R. Slama, H. Wannous, M. Daoudi, and A. Srivastava, Accurate 3D Action Recognition Using Learning on Grassmann Manifold, Pattern Recognition Journal, volume 48, issue 2, pages , February A. Abou-Elailah, F. Dufaux, J. Farah, M. Cagnazzo, A. Srivastava, and B. Pesquet-Popescu, Fusion of Global and Local Motion Estimation Using Foreground Objects for Distributed Video Coding, IEEE Transactions on Circuits and Systems for Video Technology, volume 25, issue 6, pages , June Z. Zhang, D. Pati and A. Srivastava, Bayesian Clustering of Shapes of Curves, Journal of Statistical Planning and Inference, volume 166, number 1, pages , November J. S. Marron, J. O. Ramsay, L. M. Sangalli, and A. Srivastava, Functional Data Analysis of Amplitude and Phase Variation, Statistical Science, volume 30, number 4, pages , November A. B. Tumpach, H. Drira, M. Daoudi, and A. Srivastava, Gauge Invariant Framework for Shape Analysis of Surfaces, IEEE Transaction on Pattern Analysis and Machine Intelligence, volume 38, number 1, pages 46-59, January B. Ben Amor, J. Su, and A. Srivastava, Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories, IEEE Transaction on Pattern Analysis and Machine Intelligence, volume 38, number 1, pages 1-13, January In Press 83. D. Bryner, F. Huffer, A. Srivastava, and D. Tucker, Underwater Minefield Detection in Clutter Data Using Spatial Point Process Models, accepted for publication in IEEE Journal on Oceanic Engineering, August W. Huang, K.A. Gallivan, A. Srivastava, and P.-A. Absil, Riemannian Optimization for Registration of Curves in Elastic Shape Analysis, accepted for publication, Journal of Mathematical Imaging and Vision, September J. Cleveland, W. Wu, and A. Srivastava, Norm-Preserving Constraint in the Fisher-Rao Registration and Its Application in Signal Estimation, accepted for publication, Journal of Nonparametric Statistics, January 2016.

17 86. F. D. M. De Souza, S. Sarkar, A. Srivastava, and J. Su, Pattern Theory for Representation and Inference of Semantic Structures in Videos, accepted for publication, Pattern Recognition Journal, February In Review 87. M. Rosenthal, E. Klassen, W. Wu, and A. Srivastava, Nonparametric Spherical Regression Using Diffeomorphic Mappings, Biometrika, in major revision after second review, September F. D. M. De Souza, S. Sarkar, A. Srivastava, and J. Su, Modeling and Recognizing Interactions Descriptive of Activities Using Pattern Theory, in revision after first review at the International Journal of Computer Vision, March Z. Zhang. J. Su, E. Klassen, H. Le, and A. Srivastava, Video-Based Action Recognition Using Rate- Invariant Analysis of Covariance Trajectories, in review at IEEE Transactions on Pattern Analysis and Machine Intelligence, March R. Anirudh, P. Turaga, J. Su, and A. Srivastava, Elastic Functional Coding of Riemannian Trajectories, in review at IEEE Transactions of Pattern Analysis and Machine Intelligence, June Z. Zhang, D. Pati, E. Klassen, and A. Srivastava, Robust Kernel Density Estimation and Two-Sample Hypothesis Test in Euclidean and Spherical Domains, in review at Statistica Sinica, September D. Bryner, F. Huffer, M. Rosenthal, J. D. Tucker, and A. Srivastava, Linear Target-Layer Trajectory Estimation Using Cluttered Point Cloud Data, in review at Computational Statistics and Data Analysis, August Unpublished Manuscripts: 1. U. Grenander, A. Srivastava, and C. Hesher, Models for Statistical Analysis of Range Images, May M. Smith and A. Srivastava, A Model Based Approach to Statistical, Multi-Modal Sensor Fusion, February E. Klassen and A. Srivastava, A Path-Straightening Approach for Finding Geodesics on Shape Spaces of Closed Curves in R 3, March M. Ncube, J. Doran, and A. Srivastava, Calibration of Reduced Form Models; Implementation of a Kalman Smoother Expectation Minimization Procedure, January M. Ncube and A. Srivastava, A Calibration Technique for Time Series Models with Mixture Densities and Nonlinear Observations, January A. Srivastava, W. Wu, S. Kurtek, E. Klassen, and J. S. Marron, Registration of Functional Data Using Fisher-Rao Metric, arxiv: v2, May H. Sun and A. Srivastava, Shape Detection in Over-Segmented Images, June Q. Xie, S. Kurtek, E. Klassen, G. E. Christensen, and A. Srivastava, Metric-Based Binary and Multiple Image Registration, October, 2013.

18 Book Chapters in Edited Volumes 1. A. Srivastava, M. I. Miller and U. Grenander, Ergodic Algorithms on Special Euclidean Groups for ATR, chapter in Systems and Control in the Twenty-First Century, pages , Birkhauser, Boston, A. Srivastava, M. I. Miller and U. Grenander, Bayesian Automated Target Recognition, Handbook of Video and Image Processing, Editor: A. Bovik, pages , 2000, Academic Press. 3. A. Srivastava, A. D. Lanterman, U. Grenander, M. Loizeaux, and M. I. Miller, Monte-Carlo Techniques for Automated Target Recognition, Sequential Monte Carlo Methods: Theory and Applications, Editors: N. Gordon, A. Doucet and N. DeFreitas, pages , Springer, A. Srivastava, M. I. Miller and U. Grenander, Statistical Models of Targets and Clutter for Use in Bayesian Object Recognition, Handbook of Video and Image Processing, Editor: A. Bovik, pages , 2005, Elsevier Academic Press, A. Srivastava, S. Joshi, D. Kaziska, and D. C. Wilson, Planar Shape Analysis and Its Applications in Image-Based Inferences, Mathematical Models of Computer Vision: The Handbook, Editor: N. Paragios, Y. Chen and O. Faugeras, pages , Springer, October S. Joshi and A. Srivastava, Applications of Shape-Distance metric to Clustering Shape-Databases, chapter in Multiscale Optimization: Methods and Applications, Springer, pages , 2005, Editors: W. Hager, S. Huang, P. Pardalos, and O. Prokopyev. 7. S. Joshi, D. Kaziska, A. Srivastava, and W. Mio, Riemannian Structures on Shape Spaces: A Framework for Statistical Inferences, Edited volume on Statistics and Analysis of Shapes, Editor: H. Krim and A. Yezzi, pages , Birkhauser, P. Turaga, A. Veeraraghavan, A. Srivastava and R. Chellappa, Statistical Analysis on Manifolds and Its Applications to Video Analysis, Handbook on Video Search and Mining, Eds: D. Schonfeld et al., pages , SCI 287, Springer Verlag, A. Srivastava, S. Kurtek, and E. Klassen, Statistical Shape Analysis, Encyclopedia of Computer Vision, publisher: Springer Verlag, Berlin, P. Turaga, R. Chellappa, and A. Srivastava, Statistical Methods on Special Manifolds for Image and Video Understanding. In Venu Govindaraju, C. R. Rao, editors: Handbook of Statistics, vol 31, Chennai: North Holland, 2013, pp , ISBN J. Su, S. Kurtek, and A. Srivastava, Joint Registration and Shape Analysis of Curves and Surfaces, book chapter in Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective, Editors: Sven Dickinson and Zygmunt Pizlo, Springer Verlag, A. Srivastava, Image Analysis and Recognition, In Academic Press Library in Signal Processing, Vol 4, Image Processing and Analysis, Hardware, Audio and Speech Processing, Editors: R. Chellappa and S. Theodoridis, Academic Press, p , D. Bryner and A. Srivastava, Bayesian Active Contours with Affine-Invariant Elastic Shape Prior, in Bayesian Statistical Analysis, Editors: Upadhyaya, Singh, Dey, and Longanathan, Tayor and Francis, Z. Zhang, Q. Xie and A. Srivastava, Elastic Registration and Shape Analysis of Functional Objects, Editors: John T. Kent and Ian Dryden, John Wiley and Sons, Chichester, 2015.

19 15. Z. Zhang, D. Pati, and A. Srivastava, Bayesian Shape Clustering, in Nonparametric Bayesian Inference in Biostatistics, pages 57-76, Editors: R. Mitra and P. Mueller, Springer Series in Frontiers in Probability and the Statistical Sciences, A. Srivastava, Automated Alignment of Mass-Spectrometry Data Using Functional Geometry, in Statistical Analysis of Mass Spectrometry Based Proteomics, Metabolomics, and Lipidomics Data, Editors: Bert Martens and Susmita Datta, Springer, Tutorials/Special Courses: 1. A four-hour tutorial on Nonlinear Manifolds in Computer Vision and Pattern Recognition, with W. Mio and X. Liu, at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC, June A two-hour tutorial on Nonlinear Manifolds in Pattern Recognition with X. Liu, at International Joint Conference on Neural Networks (IJCNN), Montreal, Canada, July A 15-hour course, spread over three weeks, on Markov Chain Monte Carlo Methods offered to students attending Graduate School in Optimization, Control, and Networks at the Catholic University of Louvain, Louvain, Belgium, May A half-day tutorial on Differential Geometry in Shape Analysis and Activity Recognition, with Pavan Turaga, Ashok Veeraraghavan, and Fatih Porikli, at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, June Publicity/Press: CDROM Publications 1. Comparing (Images of) Apples and Oranges, Article in SIAM News, volume 35, number 4, pages 7-8, May Interviewed on radio in FSU Headlines, local NPR station, September A. Srivastava and U. Grenander, Bayesian Automated Target Recognition, a 35-minute multimedia presentation on statistical techniques in target recognition, 1500 copies distributed free of charge on request through our website, A. Srivastava, U. Grenander, and X. Liu, Natural Image Statistics: Bessel K Forms, a 15-minute presentation, provided at request for free through our website, Papers in Peer-Reviewed Conferences with Proceedings 1997 and Earlier: