Signal Processing Engineering

CHINMAY R RAO

*** ********* *****, *** *-*, State College, PA 16801

814-***-**** ? **********@*****.***

Objective

To apply skills in software design, signal processing and control systems

theory to the development of novel algorithms and systems.

Summary

Ph. D. student in electrical engineering at The Pennsylvania State

University with a dual masters in electrical and mechanical engineering.

3 years of software programming experience, 1 year of industry experience

via internships.

5 years of research and algorithm development experience in signal

processing, networking and systems design.

Led multi-disciplinary teams of engineers into successful completion of

collaborative projects.

Education

The Pennsylvania State University, University Park, PA

Ph.D. in Electrical Engineering GPA: 3.7

M.S. in Electrical Engineering

M.S. in Mechanical Engineering GPA: 3.8

Vivekanand Education Societies' Institute of Technology, Mumbai,

India

Bachelor of Engineering, Electronics Engineering

First Class

Work History

The Pennsylvania State University - Complex Failures Laboratory (August

2006 - Present)

Research Assistant

Part of a multi-disciplinary team that conceptualized and developed a new

signal processing tool, Symbolic Dynamic Filtering (SDF), for pattern

recognition and discovery.

Implemented the above technique on a sensor network using nesC, and

optimized the algorithms for real time sensing and fault detection.

Demonstrated the superior performance of SDF as compared to traditional

signal processing methods like the Kalman, Unscented and Particle filters.

Led a team of multi-disciplined engineers to design a parameter estimation

scheme using SDF and implemented it on a NASA aircraft engine model.

Formulated and designed a technique for real time mine detection using SDF.

Broadcom Corporation (October 2008 - May 2009)

Video Engineering Intern

Involved in development of C, C++ and Matlab signal processing algorithms

for modern high definition television chip sets.

Studied effects of dithering, digital noise reduction on video quality.

Worked on the implementation of Brunello lossless video compression

algorithm.

Interfaced between clients and several internal groups to debug and resolve

issues related to video quality.

The Pennsylvania State University - Neurotechnology research Laboratory

(August 2004 - August 2006)

Research Assistant

Programmed algorithms for detection of neural activity from electrodes

inserted into rat brains.

Designed metrics to objectively quantify performance of these methods in

varying degrees of noise.

Implemented features that reduced false-positive detection of traditional

methods.

The Pennsylvania State University - Real-Time Aesthetics and Experience

Laboratory (November 2003 - August 2004)

Research Assistant

Interfaced alighting engine based on cinematic principles into first person

3D games like Unreal Tournament.

Developed a C# library to modify internal OPENGL libraries of Unreal

Tournament to implement the use configured Expressive Lighting Engine.

Rated the effectiveness of the above scheme via a user study. This method

has been published and is used in many current games.

Skills

Core competencies: Algorithm design, Signal processing, pattern

recognition, non-linear filtering and control, image and video processing

Software: Proficiency in software development in C, C++, C#, Matlab. Worked

on Assembly level programming in PicBasic, C and nesC.

Platforms: Linux, Windows, Real-time Linux

Publishing Tools: Latex, Adobe Photoshop, Pagemaker, Microsoft Office,

Dreamweaver

Awards and Achievements

College of Engineering conference travel award, 2004

Dean of IST conference travel award, 2004

Nominee, Best student research at Siggraph 2004

Ranked 2525 at the IIT entrance exam out of 100,000 students

Selected in the top 30 students to appear for the Indian National

Mathematics Olympiad

Projects

LMS Equalizers for Fading/Non Fading Channels, Spring 2005

Designed various equalizers for channels with different degrees of fading.

Performed Monte Carlo simulations to study their performance in additive,

white Gaussian noise.

Adaptive filter design for Noise Cancellation, Sep 2002 - March 2003, VES

Institute of Technology, Mumbai, under Prof. Nagananda A. (Bachelors senior

year project)

Developed an LMS filter to cancel the effects of additive noise when

samples of the noise alone are available for processing.

Compared the efficiency, robustness and complexity of LMS and Kalman

implementations.

Study of Wiener Hopf methods, January 2003 - May 2003, Indian Institute of

Technology, Bombay, under Dr. Gopal Srinivasan.

Studied the solution of the Wiener Hopf integral equations and its

applications and prevalence to various problems in diverse fields such as

signal processing, elasticity and financial mathematics.

Extra-Curricular Activities

President of the Penn State Badminton Club 2007-2008. Doubled the total

funding received by the club from the University. Also organized a bi-

annual badminton tournament.

Avid biker and runner. Biked the Tour of Palm Springs 100K and the PA

Randonneurs 150K Halloween ride. Ran the San Francisco progressive marathon

and the Richmond half marathon, all in 2009.

Editor of the Students Forum for Electronics, 2001 - 2003. Produced eight

editions of a quarterly newsletter and two editions of an annual magazine.

Worked for obtaining sponsorship for all of these publications.

Publications

C. Rao, et al, Underwater Mine Detection using Symbolic Pattern Analysis of

Sidescan Sonar Images, in American Control Conference in St. Louis, MO,

June 2009.

C. Rao, K. Mukherjee, S. Sarkar and A. Ray, Statistical Estimation of

Multiple Parameters via Symbolic Dynamic Filtering, Signal Processing,

2009, Vol. 89, no. 6, pp. 981-988.

C. Rao, A. Ray, S. Sarkar and M. Yasar, Review and Comparative Evaluation

of Symbolic Dynamic Filtering for Detection of Anomaly Patterns, Signal,

Image and Video Processing, 2009, Vol 3, pp 101-114.

S. Sarkar, C. Rao and A. Ray, Statistical Estimation of Multiple Faults in

Aircraft Gas Turbine Engines, Proceedings of the I Mech E Part G: Journal

of Aerospace Engineering, 2009, vol. 223 no 4, pp. 414-425.

K. Paralikar, C. Rao and R.S. Clement, New approaches to eliminating

common-noise artifacts in recordings from intracortical microelectrode

arrays: inter-electrode correlation and virtual referencing, Journal of

Neuroscience Methods, 2009, Vol. 181, pp. 27-35.

K. Paralikar, C.Rao and R. S. Clement, A correlation based technique for

neural spike detection, Proceedings of the IEEE Engineering in Medicine and

Biology Conference, Vancouver, 2008.

M. El-Nasr and C. Rao (2004), Visually directing user's attention in

interactive 3D environments, ACM Siggraph 2004 Poster Session, Los

Angeles, CA.

C. Rao & R. M. Narayanan, Spectral efficiency considerations in

ultrawideband (UWB) radar and communications, Proceedings of SPIE Defense

and Securities Symposium, pp. 224-234.

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