Electrical Signal Processing

Vishnu Naresh Boddeti

Contact Electrical and Computer Engineering 412-***-****

Information Carnegie Mellon University abqgo7@r.postjobfree.com

www.ece.cmu.edu/ vboddeti

Pittsburgh, PA 15213

Broadly interested in Computer Vision, Signal Processing and application of Statistical Learning

Research

methods in these disciplines. Speci cally object and activity recognition, biometrics recognition

Interests

and data-mining and modeling of time-series data.

Carnegie Mellon University, Pittsburgh, USA

Education

Ph.D, Electrical and Computer Engineering August 2007-Present

Advisor: Prof. Vijayakumar Bhagavatula

M.S, Machine Learning Department January 2011-Present

Advisor: Prof. Byron Yu

M.S, Electrical and Computer Engineering August 2007-May 2009

Advisor: Prof. Vijayakumar Bhagavatula

Indian Institute of Technology, Madras, India

BTech, Electrical Engineering August 2003-July 2007

Advisor: Prof. A N Rajagopalan

B.V.K. Vijaya Kumar, Vishnu Naresh Boddeti, Jonathan M. Smereka, Jason Thornton and Marios

Book Chapters

Savvides, Application of Bayesian Graphical Models to Iris Recognition, submitted to Handbook

of Statistics, vol. 31 (eds: C.R. Rao and V. Govindaraju), May 2011

Raghavender Jillela, Arun Ross, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar, Xiaofei Hu,

Robert Plemmons, Paul Pauca, An Evaluation of Iris Segmentation Algorithms in Challenging

Periocular Images, in Handbook of Iris Recognition, K. Bowyer and M. Burge (Eds.), Springer

2012 (to appear)

Andres Rodriguez, Vishnu Naresh Boddeti, B.V.K Vijaya Kumar and Abhijit Mahalanobis, Max-

Journal

imum Margin Correlation Filter: A New Approach for Simultaneous Localization and Classi ca-

Publications

tion, IEEE Transactions on Image Processing, Under Review

Vishnu Naresh Boddeti and B.V.K Vijaya Kumar, A Framework for Binding and Retrieving Class-

Speci c Information to and from Image Patterns using Correlation Filters, IEEE Transactions

on Pattern Analysis and Machine Intelligence, Under Review

Vishnu Naresh Boddeti and B.V.K Vijaya Kumar, Extended Depth of Field Iris Recognition using

Unrestored Wavefront-Coded Imagery, IEEE Transactions on Systems, Man, and Cybernetics -

Part A (SMC-A), May 2010.

Arun Ross, Raghavender Jillela, Jonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya

Conference

Kumar, Ryan Barnard, Xiaofei Hu, Paul Pauca, Robert Plemmons, Matching Highly Non-Ideal

Publications

Ocular Images: An Information Fusion Approach, 5th IAPR International Conference on Bio-

metrics, 2012 (oral).

Vishnu Naresh Boddeti, B.V.K. Vijaya Kumar and Krishnan Ramkumar, Improved Iris Segmen-

tation Based on Local Texture Statistics, 45th Asilomar Conference on Signals, Systems and

Computers, 2011. (oral, invited paper)

Vishnu Naresh Boddeti, Jonathan Smereka and B.V.K. Vijaya Kumar, A comparative evalu-

ation of iris and ocular recognition methods on challenging ocular images, International Joint

Conference on Biometrics, 2011. (oral)

Vishnu Naresh Boddeti, Fei Su and B.V.K. Vijaya Kumar, A Biometric Key-Binding and Tem-

plate Protection Framework using Correlation Filters, Proceedings of the Third International

Conference on Advances in Biometrics (ICB), pp. 919-929, 2009.

Vishnu Naresh Boddeti and B.V.K. Vijaya Kumar, Extended Depth of Field Iris Recognition

with Correlation Filters, Biometrics: Theory, Applications and Systems (BTAS), 2008. (oral,

nominated for best-paper award)

Carnegie Mellon University, Pittsburgh, USA(August 2009 - Present)

Current Projects

Correlation Filtering Theory for large scale biometric recognition and object detection. Max-

imum Margin approach to designing classi ers for translation, scale and rotation invariant

simultaneous object detection and tracking with extensions to action recognition in videos.

Discriminative manifold learning for simultaneous super-resolution and recognition of faces

and textures at very low-resolutions (8x8 pixels).

Probabilistic Deformation Models for Face and Ocular Recognition.

Time-Series data-mining and analysis with applications to management of data-centers (Hadoop

clusters) and modeling population neural spike counts for neural prosthetics.

Biometric Template Protection and Key Binding. The goal is to combine biometric recognition,

biometric template protection and key-binding into one framework using Correlation Filters.

We proposed a robust algorithm for retrieving cryptographic keys (upto 600 bits) with faces

and palmprints with a 1% error on the Multi-PIE face database and PolyU palmprint database.

This technique was also extended to multi-modal and multi-class scenarios. Also working on

extensions to binding and retrieving information to and from actions sequences.

Carnegie Mellon University, Pittsburgh, USA

Past Projects

Extended Depth of Field Iris Recognition with Correlation Filters and Wavefront Coding

achieving a depth of eld improvement by a factor of up to 5 over a conventional camera.

Region based active contour segmentation for iris recognition.

Carnegie Mellon University, Pittsburgh, USA

Course Projects

Multi scale dictionary learning for simultaneous image super-resolution and recognition.

Object Classi cation with Spatial Pyramid Matching and Spectral Analysis. Here we combine

spatial domain features (SIFT) with spectral analysis for scene and object classi cation using

SVMs with a spatial pyramid match kernel.

Unsupervised Object Discovery in large databases using topic discovery models from statistical

text literature. Looked into ways in which segmentation can be used to help discover more

meaningful topics.

Feature selection for cognitive state classi cation using MEG data.

Indian Institute of Technology Madras, Chennai, India(August-May, 2007)

Learning based Super-Resolution of face videos using a 3-D Markov Random Field that encodes

the spatial-temporal consistencies and the image formation and degradation process.

Modeling and analysis of a practical reverberation model. Also investigated the e ects of

common audio post processing e ects when applied to human voice and music.

Designed a power electronics based controller for a prototype experiment to measure the fre-

quency of oceanic waves. The waves were generated arti cially in the laboratory.

Ittiam Systems Pvt. Ltd, Bangalore, India (May-July, 2006)

Work Experience

Investigated and implemented (C++) many image denoising algorithms on both still images and

videos with main emphasis on wavelet based Shrinkage denoising methods.

Statistical Machine Learning Physics Based Methods in Vision

Coursework

Learning Based Methods in Vision Optimization

(AT CMU)

Computer Vision Methods of Optimization

Geometry Based Methods in Vision Machine Learning

Applied Stochastic Processes Probablistic Graphical Models

Intermediate Statistics Wavelets and Multi-resolution Techniques

Pattern Recognition Theory Advanced Digital Signal Processing

Algorithms in the Real World Error Control Coding

Teaching Assistant - Digital Signal Processing. Spring 2009

Teaching

Responsibilities include conducting recitations, writing problem solutions and grading exams.

Experience

Teaching Assistant - Signals and Systems. Fall 2009

Responsibilities include conducting recitations, preparing homeworks, preparing exams, preparing

and conducting labs.

Programming: Python, C/C++, Matlab.

Computer

Libraries: Numerical Python (Numpy, Scipy, CVXOPT etc.), OpenCV, Eigen

Skills

Publishing: L TEX

A

Platforms: Various GNU/Linux Distributions, Mac OS X, Microsoft Windows.

Honours and

Doctoral Consortium Fellowship at BTAS 2011

Awards

Dean s Fellowship, Carnegie Mellon University, 2007-Present

Merit Scholarship, Indian Institute of Technology, Madras, 2003-2007

Pratibha Scholarship for Outstanding Academic Achievement, Government of Andhra Pradesh,

India, 2000-2002

Professional

Student Member: IEEE

Activities

Reviewer:

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

International Conference on Biometrics: Theory, Applications and Systems (BTAS)

Leadership

Member: Org Management Steering Committee at CMU (2011-2012).

President: Indian Graduate Student s Association at CMU (2010-2011).

Treasurer: Indian Graduate Student s Association at CMU (2009-2010).

Available on request.

Referees

Contact this candidate