Software Engineer Computer

SASHI KUMAR PENTA

DirectX Driver Development Group abqgm3@r.postjobfree.com

Visual Computing Group, Intel Corporation, http://cs.unc.edu/~sashi/

RA2, 2501 NW 229th Avenue

Hillsboro, OR 97124 MOBILE: 503-***-****

EDUCATION

MS in Computer Science and Eng. UNC Chapel Hill (Aug 2008)

MS by Research (Thesis) in Computer Science and Eng.

IIIT Hyderabad (Dec 2005)

[Computer Graphics]

B. Tech. in Computer Science and Eng. [Honors in Visual

IIIT Hyderabad (May 2003)

Informatics]

OBJECTIVE

I aspire to be a part of a place where pioneering research is done.

ACHIEVEMENTS

Ranked 10 in B.Tech. in the graduating batch 2003 at IIIT, Hyderabad.

Dean s List (Spring 2001, Fall 2001, Spring 2002 and Spring 2003) Scholarship given for

outstanding academic performance at IIIT, Hyderabad.

Secured 40th position in Google India Code Jam 2005.

SOFTWARE SKILLS

Programming Languages C, C++, Java, Lisp, Perl, Prolog

Operating Systems GNU/Linux, Windows 7 / VISTA / XP, Mac OS X

Programming Tools & APIs OpenGL, DirectX, CUDA, Cg, HLSL, Qt, CVS/SVN, OpenMP, MPI,

Sed, Awk, Lex, Yacc, Visual studio

Others Matlab, HTML, MySQL, Gimp, Latex

WORK EXPERIENCE

Graphics Software Engineer, Visual and Parallel Computing Group (VPG), Intel

Corporation, Hillsboro, OR, USA. (Sept 2008 - Present)

Research Intern, Integrated Data Systems Department, Siemens Corporate Research,

Princeton, NJ, USA. (Summer 2008)

Research Assistant/Student, CS Dept, UNC at Chapel Hill (Aug, 2006 May, 2008)

Research Intern, Interactive Visual Media group, Microsoft Research, Redmond, USA.

(Summer 2007)

Software Engineer, NVIDIA Graphics Private Ltd, Bangalore, India (Aug,2005 July,2006)

Research Associate/Teaching Assistant/Student, Center for Visual Information

Technology (CVIT) at IIIT, Hyderabad (2001 2005)

Instructor for the course, Software Technologies for MTech computer science students of

IIIT-Hyderabad (Spring 2005)

Research Intern, Imaging Technologies group, GE John F Welch Technology Center,

Bangalore, India (Summer 2003)

REFEREED JOURNAL PUBLICATIONS

Compression of Multiple Depth-Maps for IBR

Sashi Kumar Penta and P. J. Narayanan

The Visual Computer, Volume 21, Numbers 8-10 / September, 2005

Presented at the Thirteenth Pacific Conference on Computer Graphics and

Applications, October, 2005 (Pacific Graphics 2005)

REFEREED CONFERENCE PUBLICATIONS / POSTERS

Background Replacement

Sashi Kumar Penta

Appeared in SIGGRAPH 2008 (Poster).

Fluid in Video: Augmenting Real Video with Simulated Fluids

Vivek Kwatra, Philippos Mordohai, Rahul Narain, Sashi Kumar Penta, Mark Carlson,

Marc Pollefeys, and Ming Lin

Appeared in Eurographics 2008.

Depth Images: Representations and Real-time Rendering

Pooja Verlani, Aditi Goswami, P. J. Narayanan, Shekhar Dwivedi and Sashi Kumar Penta

Proc. Of Third International Symposium on 3D Data Processing, Visualization and Transmission

(3DPVT), June 14-16, 2006

Depth+Texture Representation for Image Based Rendering

P. J. Narayanan, Sashi Kumar Penta and Sireesh Reddy K

Proc. Fourth Indian Conference on Computer Vision, Graphics and Image Pro cessing

(ICVGIP), pp. 113-118, 2004

RESEARCH INTERESTS

My interests lie in the fields of Computer Graphics, Computer Vision and High performance

Computing.

MAJOR PROJECTS

DirectX Driver development

I am involved in designing, developing, debugging and performance analyzing of DirectX

driver for DX9 and DX10 on Windows vista and Windows 7. I am involved in designing the

Intel DirectX driver software architecture to support multi graphics hardware architectures. I

developed some key tools at Intel to speed up the debugging process. I am involved in doing

the performance analysis of our driver. I also developed tools for capturing data from Dx 10

and Dx 11 games for game analysis which in turn used for performance analysis of our driver.

This work is being done as part of my work at Visual and Parallel Computing Group (VPG),

Intel Corporation.

Image enhancement techniques on the GPU

In this project, we implemented two enhancement techniques, automatic computation of the

angle to correct the horizon of an image, and automatic computation of bi -lateral filter

parameters to remove the noise in an image. Parts of these techniques are implemente d on

the GPU using Direct 3D (DirectX 9) and HLSL in Shader Model 3.0. This work is done while I

was interning at the Interactive visual group, Microsoft Research, under the mentorship and

collaboration with Dr. Sing Bing Kang, Dr. Denis demandolx and Bryan Ressler.

Fluid in Video: Augmenting Real Video with Simulated Fluids

In this project, we present a technique for coupling simulated fluid phenomena that interact

with real dynamic scenes captured as a binocular video sequence. We first process the

binocular video sequence to obtain a complete 3D reconstruction of the scene, including

velocity information. We then perform fluid simulation within a 3D domain that contains the

object, enabling one-way coupling from the video to the fluid. Our method, not only generates

smoothly varying geometry across time, but also simultaneously provides the necessary

boundary conditions for one-way coupling between the dynamic geometry and the simulated

fluid. Finally, we employ a GPU based scheme for rendering the synthetic fluid in the real

video, taking refraction and scene texture into account. This work will appear in Eurographics

2008.

OpenGL-ES driver development

OpenGL-ES stands for Open Graphics Library for Embedded Systems. The OpenGL -ES driver

is a graphics driver. A graphics driver is a library of functions which allow an application to

draw things on the screen. Using a standard API (such as OpenGL, OpenGL-ES) allows an

application to be written using one set of functions, and then run on a variety of gr aphics

hardware. As part of this team, I am involved in adding the extensions of OpenGL ES to the

NVIDIA s OpenGL-ES, such as rendering to texture. I also worked on porting programs from

OpenGL to OpenGL-ES for testing the quality of the OpenGL ES driver and fixing the bugs in

the OpenGL-ES driver. This work has been done while I worked at NVIDIA from July, 2005 to

June, 2006.

Depth Images: Representations and Real-time Rendering

Depth Images (DIs) are viable representations that can be computed from the real worlds

using cameras and/or other scanning devices. In this project, we present a discussion on the

Depth Image representation and provide a GPU -based algorithm that can render large models

represented using DIs in real time. We show the results using a proxy-based compression

scheme for Depth Images and provide results for the same. We provide dis cussion on quality

levels in Image Based Rendering (IBR) and show a way to create representations using DIs

with different trade-offs between model size and rendering quality. This work was appeared in

3DPVT, June, 2006. http://www.unc.edu/~sashi/3dpvt.pdf

Compression of Multiple Depth maps for Image based Rendering

Image Based Rendering techniques include those with geometry and those without.

Geometric information in the form of a depth map aligned with the image holds a lot of

promise for IBR due to the several methods available to capture it. It can improve the quality

of generated views using a limited number of views. Compression of lightfields or multiple

images has attracted a lot of attention in the past. Compression of multiple depth maps of the

same scene has not been explored much in the literature. We propose a method for

compressing multiple depth maps in this paper using geometric proxy. Different quality of

rendering and compression ratio can be achieved by varying different parameters.

Experiments show the effectiveness of the compression technique on several model data.This

work was appeared in the Proc. Of the Thirteenth Pacific Conference on Computer Graphics

and Applications, October, 2005. http://www.unc.edu/~sashi/compression.pdf

Depth Image Representation for Image based Rendering

Image Based Rendering holds a lot of promise for navigating through a real world scene

without modeling it manually. Different representations have been proposed for IBR in

literature. Here we argue that a representation using depth maps and texture images from a

number of viewpoints is a rich and viable representation for IBR. We have seen different

aspects of this representation, including capture, representation, compression and rendering.

Our results show how the representation can be used to model and render complex scenes.

This work was presented at the Indian Conference on Computer Vision, Graphics and Image

Processing (ICVGIP) 2004. http://www.unc.edu/~sashi/dtr.pdf

Laparoscopic Surgery Training Simulator

Laparoscopic Surgery training is an important component in the medical education and

practice. Conventional training methods involve huge costs. We built a virtual reality system

for simulating the laparoscopic surgery training procedure s. This enables the surgeons to

perform a virtual surgery and get evaluated. The system has a huge graphics module built

using OpenGL and an evaluation module. This was done in collaboration with the Center for

Artificial Intelligence and Robotics (CAIR), Bangalore.

MAIN STREAM COURSES

Computer Graphics, High performance computing, General Purpose Computation using Graphics

Processors, Scientific Computation, Advanced Image Synthesis, Computer vision and web,

Introduction to Robotics, Machine Learni ng, Advanced Computer Graphics, Advanced Signal and

Image Processing, Multimedia, Pattern Recognition, Computer Vision, Digital Image Processing .

REGULAR COURSEWORK

Computer Programming, Data Structures, Computer Organization, Analog /Digital Circuits,

Discrete Mathematics, Operating Systems, Computer Networks, Compilers, Database Management

Systems, Digital Signal Processing, Algorithms, Principles of Programming Languages, Artificial

Intelligence, Theory of Computation, Software Engineering, Data Ware housing and Mining, Data

Compression, Operations Resea rch, Probability and Statistics.

CONFERENCES/WORKSHOPS ATTENDED

SIGGRAPH 2011, Vancouver, BC, Canada.

SIGGRAPH 2008, and SIGGRAPH 2010, Los Angeles, CA, USA.

SIGGRAPH 2007, San Diego, CA, USA.

Asian Conference on Computer Vision 2006 (ACCV 2006), Hyderabad, India

Pacific Graphics 2005 (PG 2005), Macau, China

Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2004),

Kolkata, India.

Workshop on Computer Vision, Graphics and Image Processing (WCVGIP 2004), Gwalior,

India.

Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2002),

Ahmadabad, India.

MISCELLANIOUS ACTIVITIES

I am a member of the Association for Computing Machinery [ACM] / ACM SIGGRAPH.

I like to play basketball, lawn tennis and badminton. I was an active member of the team that

won the intra-institute basketball tournament in IIIT thrice in a row. I am the fall 2006

UNC-CH intramural recreational badminton champion.

I was a volunteer for *Muskaan in my life* Foundation, whose primary objective is to provide

educational support to children of under-privileged families.

I was an active member of Intel Recent College Graduate Network executive board, where I

organized and volunteered events such as: Tree for all, Paddle Clean-up, and Beach

clean-up, and more.

REFERENCES ON REQUEST

Contact this candidate