Electrical Computer

Nagilla Dikpal Reddy

Contact *** **** **** **** *****: 240-***-****

Information University of California E-mail: ******@****.********.***

Berkeley, CA 94720 WWW: www.eecs.berkeley.edu/~dikpal

My broad interests are in computer vision, signal processing and machine learning. I focus on

Research

computational photography and for my dissertation I applied compressive sensing theory to design

Interests

and build bandwidth and light e cient high-speed cameras.

Work University of California, Berkeley

Postdoctoral Scholar, Electrical Engineering and Computer Science, Sep 2011-Present

Advisor: Prof. Ravi Ramamoorthi

Education University of Maryland, College Park

Ph.D., Electrical and Computer Engineering, August 2011

Thesis: Sparse Acquisition and Reconstruction for Some Computer Vision Problems

Advisor: Prof. Rama Chellappa

Indian Institute of Technology, Kanpur

B.Tech., Electrical Engineering, May 2005

Research Postdoctoral Scholar, EECS, UC Berkeley Sep 2011 - Present

Experience Applied signal processing and machine learning methods in computational imaging.

Designed and built system for e cient acquisition of light transport.

Research Assistant, ECE, UMD College Park Aug 2006 - Aug 2011

Applied the theory of compressive sensing in di erent computer vision problems.

Designed robust background subtraction and tracking algorithms for compressive cameras.

Proposed a new surface reconstruction algorithm based on sparse representations.

Intern, Mitsubishi Electric Research Laboratories, Cambridge, MA Jan - Nov 2010 &

Jan - March 2009 & Jun - Aug 2008

Designed and built P2C2, a high-speed imaging system for capturing general class of motions.

Designed and built Coded Strobing Camera, a high-speed imaging system for capturing fast

periodic events.

Proposed and tested a power saving sampling scheme on an installed motion sensor network.

Intern, FastVDO LLC, Columbia, MD June 2007 - Aug 2007

Implemented and tested video based super-resolution algorithm which was embedded into a

real-time system.

Intern, University of Kaiserslautern, Germany May 2004 - July 2004

Implemented and tested a localization algorithm for wireless networks.

Refereed Journal:

Publications

Dikpal Reddy, Ashok Veeraraghavan, Rama Chellappa, P2C2: Programmable Pixel Compressive

Camera for High Speed Imaging, under preparation for IEEE Transactions on PAMI, 2012.

Dikpal Reddy, Aswin C. Sankaranarayanan, Rama Chellappa, Robust Compressive Background

Subtraction, under preparation for IEEE Transactions on Image Processing, 2012.

Dikpal Reddy, Ashok Veeraraghavan, Ramesh Raskar, Coded Strobing Photography: Compres-

sive Sensing of High Speed Periodic Videos, IEEE Transactions on Pattern Analysis and Machine

Intelligence (PAMI), March 2010.

Conference:

Dikpal Reddy, Ravi Ramamoorthi, Brian Curless, Title Withheld, submitted to European Con-

ference on Computer Vision (ECCV), 2012.

Garrett Warnell, Dikpal Reddy, Rama Chellappa, Adaptive Rate Compressive Sensing for Back-

ground Subtraction, Proc. of IEEE International Conference on Acoustics, Speech, and Signal

Processing (ICASSP), Mar. 2012.

Dikpal Reddy, Ashok Veeraraghavan, Rama Chellappa, P2C2: Programmable Pixel Compressive

Camera for High Speed Imaging, Proc. of IEEE Conference on Computer Vision and Pattern

Recognition (CVPR), pp. 329-336, June 2011.

Salman Asif, Dikpal Reddy, Petros Boufonos, Ashok Veeraraghavan Streaming Compressive Sens-

ing For High-Speed Periodic Videos, Proc. of IEEE International Conference on Image Processing

(ICIP), pp. 3373-3376, Sept. 2010.

Dikpal Reddy, Amit Agrawal, Rama Chellappa, Enforcing Integrability by Error Correction

using 1 -minimization, Proc. of IEEE Conference on Computer Vision and Pattern Recognition

(CVPR), pp. 2350-2357, June 2009.

Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Bara-

niuk, Rama Chellappa, Compressive Sensing for Background Subtraction, Proc. of European

Conference on Computer Vision (ECCV), pp. 155-168, Oct. 2008.

Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Cevher, Rama Chellappa, Compressed Sens-

ing for Multi-view Tracking and 3-D Voxel Reconstruction, Proc. of IEEE International Conference

on Image Processing (ICIP), pp. 221-224, Oct. 2008.

Ashok Veeraraghavan, Amit Agrawal, Ramesh Raskar, Dikpal Reddy, Increasing Temporal Res-

Patents

olution of Signals, US Patent Application, led Sep. 2009.

Ashok Veeraraghavan, Dikpal Reddy, Amit Agrawal, Programmable Camera and Video Recon-

struction Method, US Patent Application, led Dec. 2010.

Among 24 selected for Doctoral Consortium at IEEE Conference on CVPR 2010.

Honors and

Best Student Speaker award by ECE Graduate Student Association for year 2009-2010.

Awards

Recipient of Pratibha Scholarship awarded by Government of Andhra Pradesh, India from 2001-

2005.

Student Representative, Graduate Studies and Research Committee, ECE Department, 2008-2010.

Activities

Vice President for Academic A airs, ECE Graduate Student Association, 2008-2009.

Reviewer, IEEE Transactions on Image Processing, IEEE Conference on Computer Vision and Pat-

tern Recognition, IEEE International Conference on Image Processing.

Teaching University of Maryland, College Park

ENEE322: Signal and System Theory

Experience Spring and Fall 2006

Conducted discussion sessions, assisted students with course material and evaluated students per-

formance.

ENEE633/CMSC828C: Statistical Pattern Recognition Graduate Teaching Fellow Fall 2009

Assisted the instructor in choosing course material, formulating projects, designing and administer-

ing examinations and grading. In addition, taught 4 lectures (out of 28) and held o ce hours.

Computer Skills Languages & Tools: C++, MATLAB/Simulink, Python.

Operating System: Windows, Linux/Unix.

Available upon request.

References

me.dvi

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