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

Florida State University anuj@stat.fsu.edu

http://stat.fsu.edu/~anuj March 13, 2016

Citizenship: Naturalized Citizen of the United States of America Home: Office: 3020 Grey Abbey Court OSB 106D Tallahassee, FL 32309 Department of Statistics Phone: (850)-668-0154 Florida State University Tallahassee, FL 32306 Phone:(850) 644-8832,

Fax: (850) 644-5271 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 (2003 – 2007) Department of Statistics Florida State University, Tallahassee, FL Assistant Professor (1997 – 2003) Department of Statistics Florida State University, Tallahassee, FL Postdoctoral Research Associate (1996 -- 1997) Division of Applied Mathematics Brown University, Providence, RI Research Assistant Center for Imaging Sciences (1995 -- 1996) Electronic Systems and Signals Research Laboratory (1990 -- 1996) Washington University, St. Louis, MO

Summer Trainee (1989 -- 1989) 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 (1996-1997) TriCircle Company, Tucker, GA (2010-2016) Faculty Appointee at National Institute of Standards and Technology (NIST) (2013-2016) 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 (2013-2016).

• 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 2014-2015 given by J. William Fulbright Foundation to spend one year in University of Lille, France.

• Fellow of International Association of Pattern Recognition (IAPR) 2014. • 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)

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 2013.

• 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, 2014.

• Outstanding Reviewer Award, CVPR Conference (2015) • Keynote Speaker, 1st International Workshop on Differential Geometry in Computer

Vision for Analysis of Shapes, Images, and Trajectories, in conjunction with BMVC 2015, Swansea, UK, September 2015.

Awards As Student

• University Grants Commission (India) Merit Scholarship (1986-90) • Director’s Award at IT-BHU, Electronics Department First Rank, India (1987 & 1989) • Electrical Engineering Doctoral Fellowship, Washington University (1990-91)

Recognitions to My Students for Joint Research

• Rob Neher: Ralph A. Bradley award for best dissertation in the department for the year 2004.

• 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

2009. • 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.

• 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 2013.

• 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

2014. • 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

2015.

SERVICE TO THE COMUNITY

Conference Technical Committee, Reviewer:

Statistical Signal Processing Workshop (2003,2012), ICPR (2004,2010,2012,2014), Biometrics Symposium (2004), CVPR (2004-2014), ECCV (2006-2014), 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 2012. Area Chair for Track II, ICPR 2014. Awards committee for ICIP 2014. Area Chair for ICCV 2015.

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 1998.

2. Two-session mini-symposium on Bayesian Hierarchical Models for Image Analysis (with H. Krim), First SIAM Conference on Imaging Science, Boston, MA, March 2002.

3. A session on Image Analysis Applications (with H. Krim), at Asilomar Conference on Signals, Systems, and Computers, November 2002.

4. An invited Session on Differential Geometric Methods in Signal and Image Processing at 12th IEEE Workshop on Statistical Signal Processing, St. Louis, August 2003.

5. 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 2006. 7. 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 2013. 9. An invited session on Statistics and Nonlinear Manifolds at International Indian Statistical

Association (IISA) Annual Meeting in Riverside, CA, July 2014. 10. An invited mini symposium on Statistical Techniques on Nonlinear Manifolds for Analysis of

Imaging Data at SIAM Conference on Imaging Science, Hongkong, May 2014.

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 2005. (Approx. 40 attendees)

2. An ARO Sponsored Workshop on Challenges and Opportunities in Image Understanding, Washington DC, January 2007. (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 2012. (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 2007. Editorship: 1. Associate Editor, Journal of Statistical Planning and Inference (2001-06) 2. Associate Editor, IEEE Transactions on Signal Processing (2004-06) 3. Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (2006-2008)

4. Section Editor, Image Processing, Elsevier’s Signal Processing References (2011-13) 5. Guest editor, Special Issue of IEEE Transactions on Pattern Analysis and Machine Intelligence on Shape Modeling (2009-2010). 6. Associate Editor, IEEE Transactions on Image Processing (2013 – now)

TEACHING & FSU SERVICE

Courses Taught: Fall 1997-2000, 2002-09: Computational Statistics I Spring 1998, Fall 1998, Spring 1999: Fundamental Business Statistics Fall 1999, Spring 2011, Fall 2011: Introduction to Probability Spring 2000-2010: 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 (1997-2004)

Chair, Colloquium Committee (1998-2000) Member, FSU CSIT Curriculum Committee (2000) Coordinator, Laboratory for Computational Vision (2000-2004) Faculty Senator (2000-01) Chair, Academic Affairs Committee (2003-04)

Member, Department Faculty Recruitment Committee (2003-2008) Member, Department Executive Committee (2004-2009) Member, Department Chair Search Committee (2004-05, 2007-08, 2010-11)

RESEARCH FUNDING SUPPORT Past and Current Funding:

1. ARO DURIP Equipment Award: (as Co-PI) : 1998-2000, $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): 1998-2000, $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): 1999-2002, $156K

Title: Research on Applications of Bayesian Automated Target Recognition System 5. FSU Research Equipment Support: 2000, $100K 6. AMCOM/Dynatech (as PI): 2000-01, $16K

Title: Nonlinear Regression Techniques for Prediction of Infrared Images 7. NIMA University Research Initiative (as Co-PI): 2001-04, $287K PI : X. Liu Title : Computational Models and Algorithms for Automated Terrain and Target Recognition 8. NSF Focused Research Group Program (as PI) : 2001-05, $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) : 2002-04, $100K

PI: David Banks Title: Multi-Dimensional Brain Imaging and Analysis

10. NSF Information and Intelligent Systems (as Co-PI) : 2003-06, $342K

PI : Xiuwen Liu Title : Seeking Optimal Representations, Classifiers and Generalizations for Image Based Recognition

11. NSF DMS and Intelligence Community (as Co-PI) : 2003-04, $100K

PI : W. Mio

Title : SGER ACT : Stochastic Shape Analysis for Recognizing and Tracking Objects in Images and Videos

12. ARO Single Investigator Program (as PI) : 2004-07, $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) : 2004-06, $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) : 2005- 2008, $470K

PI : W. Mio, other Co-PI : X. Liu Title : Algorithmic Riemannian Geometry for a Statistical Analysis of Images

16. FSU Developing Scholar Award : 2005-06, $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 FA9550-06-1-0324 (PI for FSU, Co-PI of the project) : 2006- 2011, $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, 2006.

20. CNRS, France Grant : Visiting Professor Salary for four months during 2007-2008, to

visit ENIC, University of Lille, Lille, France.

21. ARO Workshop Grant (as PI) : 2006 - 2007, $21K Title: ARO Workshop on Challenges and Opportunities in Mathematical Image Analysis and Understanding

22. Northrop-Grumman Innovation Alliance Grant (as PI) : 2006 - 2007, $25K

Title: Shape-Based Exploitation Tools for ATR.

23. ARO Single Investigator Program (as PI) : 2008-09, $50K, One-year Add-on Title: Research on Statistical Shape Theory with Applications in Image Understanding.

24. ONR N00014-09-1-0664 (PI for FSU): 2009 – 2012, $450K

(Collaborative Grant with UMD) Co-PI: Adrian Barbu Title: Statistical and Semantic Approaches for Object, Activity, and Intent Recognition

25. NSF DMS-0915003 (PI): 2009 – 2012, extended to 2013, $400K Co-PI: Adrian Barbu and Eric Klassen

Title: Research on Shape Detection and Classification in Cluttered Point Clouds

26. NSF DMS-1208959 (PI): 2012 – 2015, $250K Co-PI: Wei Wu Title: A New Paradigm in Joint Registration, Analysis, and Modeling of Functional Data

27. NIH R21 Proposal (Co-PI): 2012-2014, $381K PI: Jinfeng Zhang Title: Elastic Shape Analysis for Protein Structure Alignment

28. NSF IIS 1217515 (PI for FSU): 2012 – 2015, $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 1319658 (PI for FSU): 2013 – 2016, $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: (3rd year student) 2. Kyungmin Ahn (3rd year student) 3. Megan Duncan: (3rd year student) 4. Sutanoy Dasgupta (3rd year student) 5. Xiaoming Dong (2nd year student) 6. Menyu Dai (2nd year student) 7. Ruiyi Zhang (2nd 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.

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.

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 2016.

2. Edited Volume: M. Daoudi, A. Srivastava, and R. Veltkamp, 3D Face Modeling, Analysis, and Recognition, Wiley, 2013.

3. Edited Volume: P. Turaga and A. Srivastava, Riemannian Computing in Computer Vision, Springer,

September 2015.

Published in Peer-Reviewed Journals

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 1282-85, May 1995.

2. 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 2678-90, November 1995.

3. 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 790-800, August 1998.

4. A. Srivastava, A Bayesian Approach to Geometric Subspace Estimation, IEEE Transactions on Signal

Processing, vol. 48, no. 5, pages 1390-1400, May 2000. 5. 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 1658-66, July 2000. 6. 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 424-29, April 2001. 7. A. Srivastava and E. Klassen, Monte Carlo Extrinsic Estimators for Manifold-Valued Parameters, IEEE

Transactions on Signal Processing, vol. 50, no. 2, pages 299-308, February 2002. 8. 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 2002.

9. 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 1200-14, September 2002.

10. A. Srivastava, Stochastic Models for Capturing Image Variability, IEEE Signal Processing Magazine,

vol. 19, issue 5, pages 63-76, September 2002. 11. 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 2003.

12. 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 537-45, June 2003.

13. 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 651-60, July 2003. 14. A. Srivastava and E. Klassen, Bayesian and Geometric Subspace Tracking, Journal of Advances in

Applied Probability, vol. 36, no. 1, pages 43-56, March 2004. 15. 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 372-83, March 2004.

16. 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 662-66, May 2004.

17. W. Mio, A. Srivastava, and E. Klassen, Interpolations with Elasticae in Euclidean Spaces, Quarterly of Applied Mathematics, vol. LXII, no. 2, pages 359-78, June 2004.

18. 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 590-602, April 2005.

19. 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 1363-1375, June 2005.

20. A. Srivastava and X. Liu, Tools for Application-Driven Dimension Reduction, Journal of

Neurocomputing, vol. 67, pages 136-160, 2005.

21. 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 291-299, March 2006.

22. W. Mio, A. Srivastava, and X. Liu, Contour Inferences for Image Understanding, International Journal

of Computer Vision, vol. 69, no. 1, pages 137-144, August 2006.

23. 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 1858-1863, November 2006.

24. W. Mio, A. Srivastava, and S. Joshi, On Shape of Plane Elastic Curves, International Journal of

Computer Vision, vol. 73, no. 3, pages 307-324, July 2007.

25. U. Grenander, A. Srivastava and S. Saini, A Pattern-Theoretic Characterization of Biological Growth, IEEE Transactions on Medical Imaging, vol. 26, no. 5, pages 648-659, November 2007.

26. 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 1114-1124, December 2007. 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 1314-1316, 2008.

28. 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 253-265, February 2009.

29. 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, 2212-2224, February 2009.

30. 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 331-355, March 2009.

31. 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.

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 1326-1339, June 2009.

33. 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 369-379, June 2009.

34. 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 1616-1629, September 2009.

35. E. Rubenshtein and A. Srivastava, Optimal Linear Projections for Enhancing Desired Data Statistics, Journal of Statistics and Computing, vol. 20, no. 3, pages 267-282, July 2010.

36. 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 1817-1831, May 2010.

37. W. Wu and A. Srivastava, Towards Statistical Summaries of Spike Train Data, Journal of Neuroscience

Methods, vol. 195, issue 1, pages: 107-110, January 2011.

38. 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 2011.

39. 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: 849-858, March 2011.

40. 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 439-455, March 2011.

41. 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 1415-1428, July 2011.

42. 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 1581-1589, August 2011.

43. 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 2273- 2286, November 2011.

44. 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 725-748, November 2011.

45. 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.

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 398-416, June 2012.

47. 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 428-442, June 2012.

48. 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 1717-1730, September 2012.

49. 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 1152-1165, October 2012.

50. 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 1766-1779, 2012.

51. 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:171-193, January 2013.

52. 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 227-241, February 2013.

53. 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 2013.

54. 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 429-438, May 2013.

55. W. Wu and A. Srivastava, Estimating Summary Statistics in Spike Train Space, Journal of

Computational Neuroscience, volume 34, number 3, pages 391-410, June 2013.

56. 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 1270-1288, June 2013.

57. 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 2013.

58. 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 3145-3157, August 2013.

59. 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 2270-2283, September 2013.

60. 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 1036-1050, 2013.

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 1695-1710, December 2013.

62. 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 530-552, April 2014.

63. 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 318-330, April 2014.

64. 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 1035-1043, May 2014.

65. 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 998-1011, May 2014.

66. 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 2014.

67. 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:10.1093/nar/gku419.

68. 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 2014.

69. 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 2014.

70. 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 1697-1702, 2014.

71. 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 1759-1768, 2014.

2. 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 1786-1792, 2014.

3. 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 1808-1810, 2014.

72. 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 1724-1733, 2014.

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 1865-1873, 2014.

74. 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 1920-1929, 2014.

75. 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 2443-2457, November 2014.

76. 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 1615-1624, December 2014.

77. 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 556-567, February 2015.

78. 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 973-987, June 2015.

79. Z. Zhang, D. Pati and A. Srivastava, Bayesian Clustering of Shapes of Curves, Journal of Statistical

Planning and Inference, volume 166, number 1, pages 171-186, November 2015.

80. 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 468-484, November 2015.

81. 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 2016.

82. 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 2016.

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 2015.

84. 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 2015.

85. 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.

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 2016.

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 2014.

88. 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 2015.

89. 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 2015.

90. 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 2015.

91. 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 2015.

92. 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 2015.

Unpublished Manuscripts:

1. U. Grenander, A. Srivastava, and C. Hesher, Models for Statistical Analysis of Range Images, May 2001.

2. M. Smith and A. Srivastava, A Model Based Approach to Statistical, Multi-Modal Sensor Fusion,

February 2005.

3. E. Klassen and A. Srivastava, A Path-Straightening Approach for Finding Geodesics on Shape Spaces of Closed Curves in R3, March 2006.

4. M. Ncube, J. Doran, and A. Srivastava, Calibration of Reduced Form Models; Implementation of a

Kalman Smoother Expectation Minimization Procedure, January 2010.

5. M. Ncube and A. Srivastava, A Calibration Technique for Time Series Models with Mixture Densities and Nonlinear Observations, January 2010.

6. A. Srivastava, W. Wu, S. Kurtek, E. Klassen, and J. S. Marron, Registration of Functional Data Using

Fisher-Rao Metric, arXiv:1103.3817v2, May 2011.

7. H. Sun and A. Srivastava, Shape Detection in Over-Segmented Images, June 2012.

8. Q. Xie, S. Kurtek, E. Klassen, G. E. Christensen, and A. Srivastava, Metric-Based Binary and Multiple Image Registration, October, 2013.

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 327-50, Birkhauser, Boston, 1997.

2. A. Srivastava, M. I. Miller and U. Grenander, Bayesian Automated Target Recognition, Handbook of

Video and Image Processing, Editor: A. Bovik, pages 869-81, 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 533-53, Springer, 2001.

4. 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 1341-1353, 2005, Elsevier Academic Press, 2005.

5. 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 191-207, Springer, October 2005.

6. S. Joshi and A. Srivastava, Applications of Shape-Distance metric to Clustering Shape-Databases,

chapter in Multiscale Optimization: Methods and Applications, Springer, pages 299–304, 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 313- 333, Birkhauser, 2006.

8. 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 – 115-144, SCI 287, Springer Verlag, 2010.

9. A. Srivastava, S. Kurtek, and E. Klassen, Statistical Shape Analysis, Encyclopedia of Computer Vision,

publisher: Springer Verlag, Berlin, 2011.

10. 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. 179-201, ISBN. 978-0-444-53859-8

11. 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, 2013.

12. 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 267-270, 2014.

13. 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, 2014.

14. 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.

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, 2015.

16. 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, 2016.

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 2004.

2. A two-hour tutorial on Nonlinear Manifolds in Pattern Recognition with X. Liu, at International

Joint Conference on Neural Networks (IJCNN), Montreal, Canada, July 2005.

3. 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 2007.

4. 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 2012.

Publicity/Press:

1. Comparing (Images of) Apples and Oranges, Article in SIAM News, volume 35, number 4, pages 7-8, May 2002.

2. Interviewed on radio in “FSU Headlines”, local NPR station, September 2003.

CDROM Publications

1. 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, 1997.

2. 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, 2002. Papers in Peer-Reviewed Conferences with Proceedings

1997 and Earlier:

1. Gradient Flows on Projection Matrices for Subspace Tracking, in Proceedings of 31st Annual Asilomar Conference on Signals, Systems and Computers, Asilomar, CA, November 1997. (with D. Fuhrmann).

2. Accommodating Geometric and Thermal Variability in Forward Looking Infrared Sensors, in Proceedings of SPIE, volume 3070, pages 162-72, Algorithms for Synthetic Aperture Radar Imagery IV, Edmund Zelnio (Ed.), Orlando, FL, April 1997 (with M. Cooper, U. Grenander and M. I. Miller). [21 citations]

3. Performance Bounds for Automated Target Recognition, Third Workshop on Conventional Weapon ATR, Huntsville, AL, November 1996 (with M. Cooper, U. Grenander and M. I. Miller).

4. Subspace Tracking via Rigid Body Dynamics, in Proceedings of 8th IEEE Workshop on Statistical Signal and Array Processing (SSAP), Corfu, Greece, June 1996 (with D. Fuhrmann and H. J. Moon).

5. Detection of Multiple Airborne Targets from Multi-Sensor Data, in Proceedings of SPIE Conference, San Diego, CA, March 1995 (with M. Foltz, M. I. Miller and U. Grenander).

6. Lie Group Parameterization for Dynamics Based Prior in ATR, in Proceedings of IEEE 6th Digital Signal Processing (DSP) Workshop, Yosemite, CA, October 1994 (with M. I. Miller and U. Grenander).

7. Jump-Diffusion Based Sampling Algorithm for Target Tracking and Recognition, in Proceedings of 27th Annual Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, November, 1993 (with R. Teichman, M. I. Miller and U. Grenander).

8. Jump-Diffusion Processes for Automated Tracking-Target Recognition, in Proceedings of 1993 Conference on Information Sciences and Systems (CISS), Johns Hopkins University, Baltimore, MD, March 1993 (with M. I. Miller, R. Teichmann, J. A. O’Sullivan and D. Snyder).

9. Multi-Target Narrowband Direction Finding and Tracking Using Motion Dynamics, in Proceedings of 30th Annual Allerton Conference on Communication, Control and Computing, Urbana, IL, October 1992 (with N. Cutaia, M. I. Miller and J. A. O’Sullivan).

10. Jump-Diffusion Processes for Object Tracking and Direction Finding, in Proceedings of 29th Annual Allerton Conference on Communication, Control and Computing, Urbana, IL, October 1991 (with M. I. Miller and U. Grenander).

1998: 11. Performance Bounds for Subspace Estimation in Array Signal Processing, in Proceedings of 9th IEEE

SP Workshop on Statistical Signal and Array Processing (SSAP), Portland, OR, September, 1998. 12. Multi-Sensor Fusion and Performance Analysis of ATR, International Conference on Multisource-

Multisensor Information Fusion, Las Vegas, NV, July, 1998. (with M. Cooper, M. I. Miller and U. Grenander).

13. Performance Analysis of ATR from SAR Imaging, ATR Theory Session, Aerosense, Orlando, FL, April, 98 (with J. A. O’Sullivan and V. Kedia).

14. MSTAR Target Classification using Bayesian Pattern Theory, in Proceedings of SPIE, volume 3370, pages 675-84, Algorithms for Synthetic Aperture Radar Imagery V, Edmund Zelnio (Ed.), Orlando, FL, April 98 (with R. Mehra and R. Krishnan).

15. Metrics for Target Recognition, in Proceedings of SPIE, volume 3307, pages 29-37, Applications of Artificial Neural Networks in Image Processing III, Nasser Nasrabadi (Ed.), San Jose, CA, January 1998 (with U. Grenander).

1999: 16. Invited session: Jump-Diffusion Processes on Matrix Lie Groups for Bayesian Inference, IEEE signal

processing workshop on higher-order statistics (HOS), Caesarea, Israel, June 1999. (with M. I. Miller and U. Grenander).

17. Automatic Battle Damage Assessment based on Laser Radar Imagery, in Proceedings of SPIE, volume 3707, pages 210-21, Laser Radar Technology and Applications, Gary W. Kamerman (Ed.), Orlando, FL, April 1999 (with S. Yu, R. Mehra and S. Lam).

18. Estimation of Pose and Location of Ground Targets for ATR, in Proceedings of SPIE, volume 3720, pages 140-51, Signal Processing, Sensor Fusion, and Target Recognition VIII, Ivan Kadar (Ed.), Orlando, FL, April 1999 (with M. Loizeaux and M. I. Miller).

19. Quadratic Analysis of Information Measures for Object Recognition, in Proceedings of SPIE, volume 3271, pages 819-27, Algorithms for Synthetic Aperture Radar Imagery VI, Edmund Zelnio (Ed.), Orlando, April 1999 (with M. Cooper and M. I. Miller).

2000: 20. Bayesian Filtering for Tracking Pose and Location of Rigid Targets, in Proceedings SPIE, volume 4052,

pages 160-71, Signal Processing, Sensor Fusion, and Target Recognition IX, Ivan Kadar (Ed), Orlando, FL, April 2000.

21. A nonlinear Filtering Method for Geometric Subspace Tracking, in Proceedings of IEEE Sensor Array and Multichannel Processing (SAM) workshop, Cambridge, MA, March 2000.

2001: 22. Principal Component Analysis of Range Images for Facial Recognition, Proceedings of CISST, in press,

Las Vegas, June 2002. (with C. Hesher and G. Erlebacher). 23. Invited session: A Compact Probability Model for Natural Clutter, IEEE International Conference on

Image Processing (ICIP), Thessaloniki, Greece, October 2001. 24. Image Segmentation using Local Histograms, in Proceedings of IEEE International Conference on

Image Processing (ICIP), volume 1, pages 70-3, Thessaloniki, Greece, October 2001. (with X. Liu and D. Wang).

25. Spectral Probability Models of IR Images with Applications to IR Face Recognition, CVPR workshop on Computer Vision Beyond Visual Spectrum, Hawaii, December 2001. (with X. Liu, B. Thomasson and C. Hesher).

26. 3D Object Recognition using Mixture of Perceptual Components, in Proceedings of International Joint Conference on Neural Networks (JCNN), volume 1, pages 553-58, Washington, July 2001. (with X. Liu).

27. A Regression Model for Prediction of IR Images, in Proceedings Aerosense, volume 4379, pages 176-86, Automatic Target Recognition XI, Firooz A. Sadjadi (Ed), Orlando, FL, April 2001. (with B. Thomasson and S. R. F. Sims).

2002: 28. Invited session Geometric Analysis of Planar Shapes Using Geodesic Paths, in Proceedings of 35th

Annual Asilomar Conference on Signals, Systems, and Computing, Asilomar, CA, November 2002. (with E. Klassen).

29. Spaces and Subspaces of Images for Recognition, in Proceedings of the International Conference on Image Processing (ICIP), Rochester, 2002. (with X. Liu).

30. Analytical Image Models and Their Applications, in Proceedings of Seventh European Conference on Computer Vision (ECCV), pages 37-51, Copenhagen, May 2002. (with X. Liu and U. Grenander).

2003: 31. A Computational Geometric Approach to Shape Analysis in Images, in Proceedings of Advances in

Neural Information Processing Systems (NIPS), Vancouver and Whistler, British Columbia, December 2003. (with X. Liu, W. Mio, and E. Klassen).

32. Invited session: Face Recognition Using Multi-Modal Imaging, in Proceedings of 36th Annual Asilomar Conference on Signals, Systems, and Computing, Asilomar, CA, November 2003. (with X. Liu and C. Hesher).

33. Geometric Analysis of Constrained Curves for Image Understanding, in Proceedings of 2nd IEEE Workshop on Variational, Geometric, and Level Set Methods (VLSM) in Vision, Nice, France, October 2003. (with W. Mio, E. Klassen, and X. Liu).

34. Invited session: A Geometric Approach to Shape Clustering and Learning, in Proceedings of 12th IEEE Workshop on Statistical Signal Processing (SSP), St. Louis, September 2003. (with S. Joshi).

35. Invited session: Efficient Algorithms for Inferences on Grassmann Manifolds, in Proceedings of 12th IEEE Workshop on Statistical Signal Processing (SSP), pages 301-304, St. Louis, September 2003. (with X. Liu, K. Gallivan, and P. Van Dooren).

36. A Novel Technique for Face Recognition Using Range Imaging, in Proceedings of Seventh International Symposium on Signal Processing and Applications (ISSPA), Paris, France, July 2003. (with C. Hesher and G. Erlebacher).

37. Learning Optimal Representations for Inage Retrieval Applications, in Proceedings of 2nd International Conferences on Image and Video Retrieval (CIVR), pages 50-60, Urbana-Champaign, IL, July 2003. (with X. Liu and D. Sun).

38. Integrated Learning of Linear Representations for Recognition, in Proceedings of CVPR Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 2003. (with X. Liu).

39. Hierarchical Learning of Optimal Linear Representations, in Proceedings of CVPR Workshop on Statistical Analysis in Computer Vision, Madison, WI, June 2003. (with Q. Zhang and X. Liu).

40. Optimal Linear Representations of Images for Object Recognition, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 229-34, Madison, WI, June 2003. (with X. Liu and K. Gallivan).

41. Integrated Learning of Linear Representations, in Proceedings of 2003 International Joint Conference on Neural Networks (JCNN), Portland, OR, July 2003. (with X. Liu and D. Wang).

42. On Intrinsic Generalization of Low Dimensional Representations of Images for Recognition, in Proceedings of 2003 International Joint Conference on Neural Networks, Portland, Oregon, July 2003. (with X. Liu)

43. Geometric Analysis of Continuous Planar Shapes, in Proceedings of Fourth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), pages 341-56, Lisbon, Portugal, July 2003. (with E. Klassen, W. Mio and S. Joshi).

44. Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints, in Proceedings of Fourth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), pages 3-20, Lisbon, Portugal, July 2003. (with X. Liu).

2004: 45. A Bayesian Framework for Statistical Multi-Modal Sensor Fusion, in Proceedings of US Army

Conference on Applied Statistics, Atlanta, October 2004. (with M. Smith). 46. Special session: Advances in Statistical Shape Analysis, in Proceedings of 12th European Signal

Processing Conference (EUSIPCO), Vienna, Austria, September 2004. 47. Special session: Bayesian Estimation and Tracking of Dynamic Signal Subspaces, in Proceedings of

IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lisbon, Portugal, July 2004.

48. Elastic String Models for Representation and Analysis of Planar Shapes, in Proceedings of IEEE Conferences on Computer Vision and Pattern Recognition (CVPR), pages 10-15 (Vol. 2), Washington DC, July 2004. (with W. Mio)

49. Learning and Bayesian Shape Extraction for Object Recognition, in Proceedings of European Conference on Computer Vision (ECCV), pages 62-73, Prague, Czech Republic, May 2004. (with W. Mio and X. Liu)

50. Hierarchical Organization of Shapes for Efficient Retrieval, in Proceedings of European Conference on Computer Vision (ECCV), pages 570-81, Prague, Czech Republic, May 2004. (with S. Joshi. W. Mio, and X. Liu)

2005: 51. Special session: Planar Shape Analysis and Its Applications in Image-Based Inferences, in Proceedings

of International Conference on Acoustic, Speech, and Signal Processing (ICASSP), vol. V, pages 1037-40, Philadelphia, PA, March 2005. (with S. Joshi, D. Kaziska, and D. Wilson).

52. Elastic Shape Models for Interpolations of Curves in Image Sequences, in Proceedings of Information Processing in Medical Imaging (IPMI), Glenwood Springs, CO, July 2005. (with S. Joshi and W. Mio).

53. Models for Representing Biological Growth, in Proceedings of Fifth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), St. Augustine, FL, November 2005. (with S. Saini, Z. Ding, and U. Grenander).

54. 3D Curve Interpolation and Object Reconstruction, in Proceedings of International Conference on Image Processing (ICIP), Genoa, Italy, September, 2005. (with S. Baloch, H. Krim, and W. Mio).

2006:

55. Statistical Shape Models Using Elastic-String Representations, in Proceedings of Asian Conference on Computer Vision (ACCV), pages 612-621, LNCS 3851, P. J. Narayanan et al. (Eds.), Hyderabad, India, January, 2006. (with A. Jain, S. Joshi, and D. Kaziska).

56. Special session: Characterization of Biological Growth Using Iterated Diffeomorphisms, In Proceedings of International Symposium on Biomedical Imaging (ISBI), Arlington, VA, April 2006. (with S. Saini and U. Grenander).

57. Cyclostationary Processes on Shape Spaces for Gait-Based Recognition, in Proceedings of European Conference on Computer Vision (ECCV), pages 442-453, LNCS 3952, A. Leonardis, H. Bishof, and A. Prince (eds), Gratz, Austria, May 2006 (with D. Kaziska).

58. Geodesics Between 3D Closed Curves Using Path-Straightening, in Proceedings of European Conference on Computer Vision (ECCV), pages 95-106, LNCS 3952, A. Leonardis, H. Bishof, and A. Prince (eds), Gratz, Austria, May 2006 (with E. Klassen).

59. Special session: 3D Face Recognition Using Shapes of Facial Curves, in Proceedings of International Conferences on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006. (with C. Samir and M. Daoudi).

60. Special session: Shape Estimation and Object Classification in Images Using Geometric Priors, to appear in Proceedings of 39th Annual Asilomar Conference on Signals, Systems, and Computing, Asilomar, CA, November 2006. (with S. Joshi).

61. Invited session: Shape Analysis of Curves and Surfaces, in Proceedings of Conference on Stochastic Processes and Their Applications (SPA), Paris, France, July 2006.

62. Reconnaissance de Visages 3D Utilisant l'Analyse de Formes des Courbes Faciales, Proceedings of CORESA 2006, Caen, France, November 2006. (with C. Samir and M. Daoudi).

2007:

63. A Novel Representation for Computing Geodesics Between n-Dimensional Elastic Curves, IEEE

Conference on computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, June 2007. (with S. Joshi, E. Klassen and I. Jermyn).

64. Riemannian Analysis of Probability Density Functions with Applications in Vision, IEEE Conference on computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, June 2007. (with I. Jermyn and S. Joshi).

65. Tree Species Classification Using Radiometry, Texture and Shape Based Features, European Conference on Signal Processing (EUSIPCO), Poland, 2007. (with M. Kulikova, M. Mani, and X. Descombes).

66. Shape Analysis of Open Curves in R3 with Applications to Study of Fiber Tracts in DT-MRI Data, in Proceedings of Sixth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), pages 399-413, Hubei, China, August 2007. (with N. Balov, C. Li, and Z. Ding).

67. Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves. in Proceedings of Sixth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), pages 387-398, Hubei, China, August 2007. (with S.H. Joshi, E. Klassen, and I.H. Jermyn).

68. Human identification using facial curves with extensions to joint shape-texture analysis. Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP), Barcelona, Spain, pages 253-256, March 2007. (with C. Samir and M. Daoudi).

2008:

69. Three-Dimensional Face Recognition Using Elastic Deformations of Facial Surfaces, International Conference on Multimedia and Expo (ICME), Hanover, Germany, June 2008. (with M. Daoudi, C. Samir, and L. Ballihi).

70. Modeling Spatial Patterns of Shapes, International Conference on Image Processing (ICIP), San Diego, CA, October 2008. (with W. Liu and S. H. Joshi).

71. Mapping Genetic Influences on Brian Fiber Architecture with High Angular Resolution Diffusion Tensor Imaging, Proceedings of International Symposium on Biomedical Imaging (ISBI), Paris, France, May 2008. (with M.-C. Chiang, P. M. Thompson and several others).

72. Brain Fiber Architecture, Genetics, and Intelligence: A High Angular Resolution Diffusion Imaging (HARDI) Study, Proceedings of 11th International Conferences on Medical Image Computing and Computer Assisted Intervention (MICCAI), New York, September 2008. (with M.-C. Chiang, P. M. Thompson and several others).

73. The Labeling of Cortical Sulci Using Multidimensional Scaling, In Proceedings of MICCAI Workshop on Manifolds in Medical Imaging, New York, September 2008. (with M. Mani and C. Barillot).

74. Joint Shape and Texture Analysis of Objects’ Boundaries in Images Using a Riemannian Approach, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2008. (with W. Liu).

2009: 75. Bayesian Classification of Shapes Hidden in Point Clouds, Proceedings of 13th Digital Signal Processing

Workshop, Marco Island, FL, January 2009. (with I. H. Jermyn) 76. Nasal Region Contribution in 3D Face Biometrics Using Shape Analysis Framework, In Proceedings of

3rd IAPR/IEEE International Conference on Biometrics (ICB), Sassari, Italy, June 2009. (with H. Drira, B. Ben Amor and M. Daoudi).

77. On Analyzing Symmetry of Objects Using Elastic Deformations, In Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), February 2009, Lisboa, Portugal. (with C. Samir, M. Daoudi, and S. Kurtek).

78. Comparison of Group Average and Individual Differences in Brain Morphometry in Williams Syndrome, in International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting, 2009. (with Z. Han, T. Thornton-Wells, E. Dykens, Z. Ding, J. C. Gore, and B. Dawant).

79. Fitting Curves on Riemannian Manifolds Using Energy Minimization, IAPR Conference on Machine Vision Applications, Keio University, Japan, 2009. (with C. Samir, P.-A. Absil, and E. Klassen).

80. A Riemannian Analysis of 3D Nose Shapes for Partial Human Biometrics, International Conference of Computer Vision (ICCV), Kyoto, Japan, October 2009.(with H. Drira, B. Ben-Amor, and M. Daoudi).

2010:

81. An Efficient Particle Filtering Technique on the Grassmann Manifold, International Conference on

Audio, Speech and Signal Processing (ICASSP), Dallas, TX, March 2010. (with Q. Rentmeesters, P.-A. Absil, P. Van Dooren, and K. Gallivan).

82. A Comprehensive Riemannian Framework for Analysis of White Matter Fiber Tracts, International Symposium on Biomedical Imaging (ISBI), Rotterdam, The Netherlands, April 2010 (with M. Mani, S. Kurtek, and C. Barillot). Oral Presentation.

83. A Novel Parameterization-Invariant Riemannian Framework for Comparing Shapes of 3D Anatomical Structures, in International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting, 2010. (with S. Kurtek, E. Klassen, Z. Ding, etc.)

84. A Novel Riemannian Framework for Shape Analysis of 3D Objects, IEEE Conference on computer Vision and Pattern Recognition (CVPR), Oral Presentation, San Francisco, CA, June 2010. (with S. Kurtek, E. Klassen and Z. Ding).

85. Detecting Shapes in 2D Point Clouds Generated from Images, International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 2010. (with J. Su, Z. Zhu and F. Huffer).

86. 3D Face Analysis for Facial Expression Recognition, International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 2010. (with A. Malej, B. Ben Amor, M. Daoudi, and S. Berretti)

87. A Fully Statistical Framework for Detection of Shapes in Image Primitives, Seventh IEEE Workshop on Perceptual Organization in Computer Vision (POCV), in conjunction with CVPR, San Francisco, CA, June 2010. (with J. Su, Z. Zhu and F. Huffer).

88. Statistical Shape Detection Over-Segmented Images, Workshop on Applications of Digital Geometry and Mathematical Morphology, associated with ICPR, Istanbul, Turkey, August 2010. (with H. Sun and J. Su).

89. Elastic Radial Curves to Model Facial Deformations, British Machine Vision Conference (BMVC), Aberystwth, UK, September 2010. (with H. Drira, B. Ben-Amor, and M. Daoudi).

90. Protein Structure Alignment Using Elastic Shape Analysis, ACM Conference on Bioinformatics and

Computational Biology (ACM-BCB), Niagara Falls, NY, USA, August 2010. (with W. Liu and J. Zheng).

2011: 91. Classification of mathematics deficiency using shape and scale analysis of 3D brain structures, SPIE

Medical Imaging Conference on Image Processing, Orlando, FL, February 2011. (with S. Kurtek, Z. Ding, E. Klassen, and J. Gore).

92. A Joint Model for Boundaries of Multiple Anatomical Parts, SPIE Medical Imaging Conference on Image Processing, Orlando, FL, February 2011. (with G. Kerr and S. Kurtek).

93. A Novel Riemannian Metric for Analyzing HARDI Data, SPIE Medical Imaging Conference on Image Processing, Orlando, FL, February 2011. (with S. Ncube).

94. Parmeterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces, Information Processing in Medical Imaging (IPMI), Monastree Irsay, Germany, July 2011. (with S. Kurtek, Z. Ding, and E. Klassen). Oral Presentation.

95. Blurring-Invariant Riemannian Metrics for Comparing Images and Signals, International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011. (with Z. Zhang, E. Klassen, R. Chellappa and P. Turaga).

96. A GRID-based Parametric Representation of Large Diffeomorphic Deformations, 3rd Workshop on Mathematical Foundations of Computational Anatomy (MFCA), September 2011. (with Q. Xie).

97. Signal Estimation Under Random Time Warpings and Its Applications in Nonlinear Signal Alignment, Neural Information Processing Systems (NIPS), Grenada, Spain, December 2011. (with S. Kurtek and W. Wu).

98. Structure-Based RNA Function Prediction Using Elastic Shape Analysis, IEEE Conference on Bioinformatics and Biomedicine (BIBM), Atlanta, GA, November 2011. (with J. Laborde and J. Zhang).

2012: 99. A Geometric Analysis of ODFs and Oriented Surfaces for Interpolation, Averaging and Denoising in

HARDI Data, IEEE Computer Society’s Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Colorado Springs, CO, January 2012. (with S. Ncube and Q. Xie).

100. Elastic Symmetry Analysis of Shapes of Anatomical Structures, IEEE Computer Society’s Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Colorado Springs, CO, January 2012. (with S. Kurtek), won the best paper award at the workshop.

101. Which Geometric Features Give Up Your Identity?, International Conference on Biometrics (ICB), New Delhi, India, June 2012. (with L. Ballihi, B . Ben Amor, M. Daoudi, and D. Aboutajdine).

102. Affine-Invariant Elastic Shape Analysis of Planar Contours, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral Presentation, Providence, RI, June 2012. (with D. Bryner and E. Klassen).

103. A Novel Framework for Metric-Based Image Registration, Fifth Workshop on Biomedical Image Registration (WBIR), Vanderbilt, TN, July 2012. (with Q. Xie, S. Kurtek, G. Christensen, Z. Ding, and E. Klassen).

104. SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for Pelvic CT Imaging, Fifth Workshop on Biomedical Image Registration (WBIR), Vanderbilt, TN, July 2012. (with C. Zhang, G. Christensen, M. Murphy, E. Weiss, J. Williamson and S. Kurtek).

105. Elastic Matching of Parameterized Surfaces Using Square-Root Normal Fields, European Conference of Computer Vision (ECCV), Florence, Italy, November 2012. (with S. Kurtek, I. H. Jermyn and E. Klassen).

106. Estimation of Mean Template from Spike Train Data, IEEE Engineering in Medicine and Biology Conference, San Diego, CA, August 2012. (with W. Wu).

107. 3D Dynamic Expression Recognition Based on a Novel Deformation Vector Field and Random Forest, International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 2012. (with H. Drira, B. Ben Amor, M. Daoudi, and S. Berretti).

108. Analysis of Signal Under Compositional Noise With Applications to SONAR Data, OCEANS 2012 IEEE/MTS Conference, Hamptons Road, VA, October 2012. (with J. D. Tucker and W. Wu).

109. A Riemannian Elastic Metric for Shape-Based Plant Leaf Classification, Digital Image Computing:

Techniques and Applications (DICTA), Freemantle, Australia, December 2012. (with H. Laga, S. Kurtek, M. Golzarian and S. Miclavcic). IAPR/APRS best paper award for the conference.

2013: 110. H. Laga, S. Kurtek, A. Srivastava, and S. Miklavcic, Statistical Shape Models of Plant Leaves, IEEE

Conference on Image Processing (ICIP), Melbourne, Australia, September 2013. 111. D. Bryner and A. Srivastava, Elastic Shape Models for Improving Segmentation of Object Boundaries

in Synthetic Aperture Sonar Images, IEEE CVPR Workshop on Perception Beyond Visual Spectrum (PBVS), Portland, Oregon, 2013.

112. Q. Xie, S. Kurtek, H. Le, and A. Srivastava, Parallel Transformations of Deformations in Shape Space of Elastic Surfaces, IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013.

113. J. Su, A. Srivastava, F. Souza, and S. Sarkar, Rate-Invariant Comparisons of Covariance Paths for Visual Speech Recognition, National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG), Jodhpur, India, December 2013.

114. W. Wu, A. Srivastava, J. Laborde, and J. Zhang, An Efficient Multiple Protein Structure Comparison Method and Its Application to Structure Clustering and Outlier Detection, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shanghai, China, December 2013.

2014: 115. A. Srivastava, D. Bryner, and E. Klassen, Affine-Invariant Shape Models for Contours and Their

Discoveries in Images, Society for Industrial and Applied Mathematics (SIAM) Conference on Imaging Science, Hong Kong, May 2014.

116. A. Srivastava, M. Rosenthal, E. Klassen, and W. Wu, A Riemannian Framework for Parametric and Nonparametric Spherical Regression, Society for Industrial and Applied Mathematics (SIAM) Conference on Imaging Science, Hong Kong, May 2014.

117. J. Su, F. Souza, S. Sarkar, and A. Srivastava, Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Applications in Visual Speech Recognition, Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June 2014. (Oral Paper)

118. D. Bryner and A. Srivastava, Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior, Computer Vision and Pattern Recognition (CVPR), Columbus, OH, June 2014.

119. F. D. de Souza, S. Sarkar, A. Srivastava, and J. Su, Pattern-Theory Based Interpretation of Activities, International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 2014. (Best Scientific Paper Award for Track 2 at ICPR)

120. S. Kurtek and A. Srivastava, Handwritten Text Segmentation Using Elastic Shape Analysis, International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 2014.

121. W. Huang, K. Gallivan, A. Srivastava, P. -A. Absil, Riemannian Optimization for Elastic Shape Analysis, 21st Annual International Symposium on Mathematical theory of Networks and Systems (MTNS), Groningen, Netherlands, July 2014.

122. Q. Xie, S. Kurtek, E. Klassen, G. E. Christensen, and A. Srivastava, Metric-Based Pairwise and Multiple Image Registration, European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 2014.

123. Q. Xie, I. H. Jermyn, S. Kurtek, and A. Srivastava, Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects, European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 2014.

2015:

124. R. Anirudh, P. Turaga, J. Su, and A. Srivastava, Elastic Functional Coding of Human Actions: From

Vector-Fields to Latent Variables, IEEE Conference on Computer Vision and Pattern Recognition, Boston, June 2015.

125. F. D. de Souza, S. Sarkar, A. Srivastava and J. Su, Temporally Coherent Interpretations for Long Videos Using Pattern Theory, IEEE Conference on Computer Vision and Pattern Recognition, Boston, June 2015.

126. A. Duncan, A. Srivastava, X. Descombes and E. Klassen, Geometric Analysis of Axonal Tree Structures, 1st Workshop on Differential Geometric Methods in Computer Vision (DIFF-CV) , Swansea UK, September 2015.

Papers presented at Conferences without Proceedings:

1. Asymptotic Probabilities in Bayesian Target Recognition, IEEE International Symposium on Information

Theory, Cambridge, MA, August 1998. (with U. Grenander). 2. Asymptotic Analysis of Pattern Theoretic Object Recognition, SPIE Aerosense, Orlando, FL, April 2000

(with M. Cooper). 3. Rendering Stochastic Vector Fields, Dagstuhl Seminar on Stochastic Methods in Rendering, Dagstuhl,

Germany, June 2001. (with D. Banks). 4. Analytical Models for Spectral Analysis of Natural Images, Annual meeting of the Royal Statistical Society,

Glasgow, Scotland, UK, July 2001. (with X. Liu and U. Grenander). 5. Geometric Tracking on Quotient Manifolds, Annual meeting of the Royal Statistical Society, Glasgow,

Scotland, UK, July 2001. (with E. Klassen) 6. Topic-Contributed, Probability Models for Image Understanding, Topic contributed session at Joint

Statistics Meeting, Atlanta, August 2001. 7. A Survey of Sensor Fusion Techniques for Army Applications, SPIE Aerosense conference, April 2002.

(with Mick Smith). 8. Invited Talk, Sequential Image Understanding: From Spectral Analysis to Deformable Templates, invited

session, Joint Statistics Meeting, New York, August 2002. 9. Invited Talk, Particle Filtering on Nonlinear Manifolds, topic contributed session, Joint Statistics Meeting,

San Francisco, August, 2003. 10. Invited Talk, A Bayesian Markov Random Field for Labeling Terrain Using Hyperspectral Imaging,

invited session, Joint Statistics Meeting, Minneapolis, August 2005. (with Rob Neher). 11. Statistical Variability in Function Space of Spike Trains, Annual Meeting of Society for Neuroscience,

Washington DC, November 2011. (with Wei Wu) 12. Invited Talk, Bayesian Shape Detection in Two-Dimensional Images, International Bayesian Statistics

Association’s Regional Meeting in Varanasi, India, January 2013. 13. Invited Talk, On Utilizing Geometries of Function Spaces for Registration and Shape Analysis, 9th

Conference on Bayesian Nonparametrics, Amsterdam, Netherlands, June 2013. 14. Invited Talk, Joint Registration and Shape Analysis of Functions, Curves, and Surfaces, 29th European

Meeting of Statisticians, Budapest, Hungary, July 2013. 15. Invited Talk, Joint Registration and Shape Analysis 3D Objects, Joint Statistics Meetings, Montreal,

Canada, August 2013. 16. Invited Talk, On Synergy Between Statistical Shape Analysis and Functional Data Analysis, ENAR

(Eastern North American Region) Statistics Meeting, Baltimore, MD, March 2014. 17. Invited Talk, On Synergy Between Statistical Shape Analysis and Functional Data Analysis, International

Society of Nonparametric Statistics Conference in Cadiz, Spain, June 2014. 18. Invited Talk, Shape and Functional Data Analysis, ERCIM, Pisa, Italy, December 2014.

COLLOQUIA AT UNIVERSITIES AND RESEARCH CENTERS

University Colloquia

1. Department of Mathematics, Iowa State University, Ames, IA, April 1996. 2. Division of Applied Mathematics, Brown University, RI, October 1996. 3. Department of Statistics, Florida State University, Tallahassee, FL, January 1997.

4. Department of Electrical Engineering, Massachusetts Institute of Technology (Stochastic Systems Group), February 1997.

5. Department of Electrical Engineering, University of Maryland at College Park, MD, April, 1997 6. Department of Electrical Engineering, North Carolina State University, October 1998. 7. Department of Statistics, University of Virginia, November 1998. 8. Joint FSU-UF Statistics Colloquium, at UF Gainesville, FL, March 2000. 9. Department of Electrical Engineering, Washington University, June 2000. 10. Department of Information and Management Sciences, Florida State University, March 2001. 11. Department of Statistics, University of Leeds, Manchester, UK, October 2001. 12. Department of Statistics, Yale University, New Haven, CT, October 2001. 13. Division of Applied Mathematics, Brown University, October 2001. 14. Department of Mathematics, Syracuse University, Syracuse, NY, November 2001. 15. INRIA Research Institute, Sophia-Antipolis, France, July 2002. 16. Harvard Robotics Lab, Division of Applied Sciences, Harvard University, March 2002. 17. Center of Imaging Sciences, Johns Hopkins University, Baltimore, MD, October 2003. 18. Department of Electrical and Computer Engineering, Michigan State University, MI, February 2004. 19. Stochastic Systems Group, Department of Electrical Engineering, MIT, Boston, March 2004. 20. ENIC, Univ. des Sciences et Technologies de Lille, Lille, France, May 2004. 21. Department of Mathematics, US Military Academy at West-point, NY, September 2004. 22. Department of Statistics, University of Georgia, Athens, GA, October 2004. 23. Department of Mathematics, Vanderbilt University, TN, February 2005. 24. Department of Statistics, University of Minnesota, Minneapolis, MN, April 2005. 25. Department of Statistics, University of California, Los Angeles, CA, October, 2005. 26. Department of Mathematics and Statistics, Air Force Institute of Technology, Dayton, OH, January

2006. 27. Statistical Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD,

February 2006. 28. Department of Biostatistics, Columbia University, New York, NY, March 2006. 29. INRIA Research Institute, Sophia-Antipolis, France, May 2006. 30. Department of Statistics, University of Chicago, Chicago, IL, November 2006. 31. Department of Electrical Engineering, North Carolina State University, Raleigh, NC, February 2007. 32. Department of Mathematics, University of Arizona, Tucson, AZ, February 2007. 33. CESAME (Applied Mathematics Group), Catholic University of Louvain, Louvain-la-Neuve, Belgium,

May 2007. 34. Department of Computer Science (LIFL), University of Lille, France, June 2007. 35. Department of Statistics, The Ohio State University, Columbus, OH, September 2007. 36. The VISAGES group at IRISA, Rennes, France, December 2007. 37. Department of Statistics, FSU, January 2008. 38. Department of Electrical Engineering, University of Maryland, College Park, MD, September 2008. 39. Stochastic Systems Group, MIT, April 2009. 40. ARIANA Group, INRIA, Sophia Antipolis, France, June 2009. 41. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, March

2010. 42. Medical Image Display & Analysis Group (MIDAG), University of North Carolina, Chapel Hill,

October 2010. 43. Department of Statistics, Duke University, Durham, North Carolina, October 2010. 44. Department of Mathematics and Statistics, Durham University, Durham, UK, June 2011. 45. Department of Statistics, University of South Carolina, Columbia, SC, November 2011. 46. Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, December

2011. 47. Department of Computer Science, Washington University, St. Louis, MO, February 2012. 48. Department of Mathematical Statistics, Nottingham University, UK, June 2012. 49. Perceiving Systems Group, Max Planck Institute, Tuebingen, Germany, July 2012 50. Statistics Division, National Institute of Standards and Technology (NIST), August 2012. 51. Department of Scientific Computing, Florida State University, Tallahassee, FL, March 2013.

52. Computer Vision Group (ALCoV), Universite d’Auvergne, Clermont Ferrand, France, May 2013. 53. Phenomics and Bioinformatics Research Center, University of South Australia, Adelaide, September

2013. 54. Computer Vision Group, NICTA, Canberra, Australia, September 2013. 55. Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, February 2014. 56. Department of Statistics, Temple University, Philadelphia, PA, March 2014. 57. Laboratoire EQUIPPE, University of Lille 3, Lille, France, November 2014. 58. Department of Computer Science, University of Lille 1, Lille, France, November 2014. 59. School of Mathematical Science, Nottingham, UK, January 2015. 60. Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France, March 2015. 61. Department of Statistics, Cambridge University, Cambridge, UK, March 2015. 62. The Image Group, Institute of Computer Science, University of Copenhagen, Denmark, May 2015. 63. Applied Mathematics Department, The University of Paris Dauphine, Paris, France, June 2015. 64. Department of Statistics, University of Florida, Gainesville, FL, October 2015. 65. Department of Statistics, Banaras Hindu University, Varanasi, India, December 2015. 66. Department of Statistics Temple University, Philadelphia, PA, January 2016. 67. Department of Biomedical Sciences, Florida State University, February 2016. 68. Department of Statistics, University of Pittsburgh, PA, March 2016.

Invited Talks at Research Workshops

1. Air Force Rome Laboratory’s 3rd Annual 1993 IEEE Dual Use Technologies & Applications

Conference, Utica, NY, May 1993. 2. ARO’s 11th Army Conference on Applied Mathematics and Computing, Carnegie Melon University,

Pittsburgh, PA, June 1993. 3. ONR/NAWC Workshop on Acquisition and Tracking of Maneuvering Targets from Image Sequence

Data, China Lake, CA, May 1995. 4. Workshop on Mathematical Methods in Computer Vision, A Pattern Theoretic Approach to Bayesian

Detection, Tracking & Recognition, University of Minnesota, MN, September 1995. 5. Kick-off meeting of Army Research Office supported Center of Imaging Sciences, Inferences on Lie

Groups for Target Recognition, St. Louis, MO, November 1995. 6. ONR/NRaD Workshop on Target Tracking, San Diego, CA, February 1996. 7. DARPA/ISO ATR Performance Estimation Workshop, SAIC, Arlington, VA, July 1996. 8. DARPA Image Understanding Technology Program Review, University ATR Research Initiative, Fort

Belvoir Officer’s Club, VA, September 1996. 9. ATR Day, Inferences on Parameter Spaces for ATR, Brown University, Providence, RI, March 1996. 10. International Symposium on Mathematical Theory of Networks and Systems, ATR: Representation,

Inference and Performance Analysis on Lie Groups, St. Louis, MO, June 1996. 11. Joint Summer Research Conference in Mathematical Sciences, Random Sampling Methods in Rigid

Motion Estimation, Mt. Holyoke College, South Hadley, MA, June 1996. 12. Kick-off meeting of ARO MURI Project on ATR Performance Evaluation, Error Bounds in ATR (with

Ulf Grenander), Brown University, November 1996. 13. ARO supported Center of Imaging Sciences Annual Review, Bayesian Error Analysis for Target

Detection & Recognition, Washington University, St. Louis, MO, January 1997. 14. Spring Research Conference for Statistics in Industry and Technology, Multiple Direction of Arrival

Tracking, New Brunswick, NJ, June 1997. 15. ONR/NSWC Workshop on Tracking, Dahlgreen, VA, May 1997. 16. ONR/GTRI Workshop on Target Tracking and Sensor Fusion, ATR Performance Analysis and Sensor

Fusion, June 1998. 17. Army Missile Command/ARO workshop, Metrics for Recognizing Ground Targets, November 1998. 18. ATR via Pose and Location Estimation, ARO Center for Imaging Sciences Review, Johns Hopkins

University, Baltimore, March 1999. 19. AFOSR/AFRL workshop on Nonlinear Filtering, Nonlinear Filtering on Manifolds, February 2001.

20. Lockheed Martin/University workshop on DARPA BAA on Integrated Sensor Processing, February 2001. Host: Teresa Olson.

21. Workshop on Imaging, Classification and Clustering, UFL Statistics Annual Winter Workshop, Gainesville, FL, January 2002.

22. NSF Futures Workshop on Pattern Recognition, University of Michigan and NSF, Ann Arbor, March 2002.

23. NSF Futures Workshop on Biometrics, University of West Virginia, Morgantown, March 2003. 24. Workshop on Mathematical Methods in Imaging and Vision, University of Florida, Gainesville, January

2004. 25. Brown University Workshop in Celebration of Ulf Grenander’s 80th Birthday, Brown University,

Providence, May 2004. 26. AIM Workshop on Statistical Inferences on Shape Manifolds, AIM Conference Center, Palo Alto, CA,

May 2005. 27. ARO/AMCOM Workshop on Information Theoretic Imaging, US Army Missile Command Center,

Huntsville, AL, June 2005. 28. IMA Workshop on Shape Spaces, Institute of Mathematics and its Applications, University of

Minneapolis, Minneapolis, MN, April 2006. 29. ARO Workshop on Challenges and Opportunities in Image Understanding, University of Maryland,

College Park Conference Center, College Park, MD, January 2007. 30. SAMSI Workshop on Geometry and Statistics of Shape Space, SAMSI Institute, Research Triangle Park,

NC, July 2007. 31. ARO Workshop on Challenges in Information Evaluation and Extraction in Distributed Sensing, MIT,

Boston, MA, October 2009. 32. SAMSI Workshop on Object Oriented Data Analysis, SAMSI Institute, Research Triangle Park, NC,

September 2010. 33. ECCV Work on Shape Perception in Human and Computer Vision, Invited Workshop with ECCV,

Crete, Greece, September, 2010. 34. Geometry of Anatomy, Invited Five Day Workshop at Banff International Research Station (BIRS),

Banff, Canada, September 2011. 35. Workshop on Advances in Computational Mathematics and Engineering, In honor of Contributions of

M. Y. Hussaini, Florida State University, Tallahassee, FL, September 2012. 36. MBI Workshop on Amplitude-Phase Separation in Functional Data, Mathematical Biology Institute,

Ohio State University, OH, November 2012. 37. NSF/FBI/DARPA Workshop on Frontiers in Image and Video Analysis, Arlington, VA, January 2014. 38. MBI Workshop on Morphogenesis, Regeneration and the Analysis of Shape, Mathematical Biology

Institute, Ohio State University, OH, February 2014. 39. RICAM Workshop on Variational Methods in Imaging, Special Semester on New Trends in Calculus of

Variations, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, Austria, October 2014.

40. ESI Workshop on Infinite-Dimensional Riemannian Geometry With Applications to Image Matching and Shape Analysis at Erwing Shrodinger Institute for Mathematical Physics, Vienna, Austria, February 2015.

41. KAUST Conference on Computational Imaging and Vision (CIV) held at King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, March 2015.