Engineer Electrical Engineering

RAVI PALANKI

***** ******** *****, *********, ** 95014

626-***-**** ************@*****.***

SUMMARY

Ability to successfully drive projects from start to finish by contributing to initial

vision, evangelization, project planning, recruiting, algorithm design, prototyping,

standardization, software development, testing and commercialization.

10 years of work experience, 7 years of team leadership, mentored 20 engineers, 4

degrees in EE and CS, 200 granted or pending patents, 20 publications, impacted 100s

of millions of mobile users, contributed to multi-billion dollar businesses.

Expertise in statistical inference, machine learning, crowdsourcing, wireless

communications, geolocation, mobile sensors and signal processing.

EDUCATION

M.S., Computer Science (expected Jun 2014) GPA: 4.05

Stanford University, Stanford, CA.

Depth: Artificial Intelligence

Ph.D., Electrical Engineering, June 2004

California Institute of Technology, Pasadena, CA.

M.S., Electrical Engineering, June 2001

California Institute of Technology, Pasadena, CA. GPA: 4.1

B.Tech., Electrical Engineering, July 2000 Rank: 2nd out of 80

Indian Institute of Technology, Madras, India. GPA: 9.3/10

PROGRAMMING SKILLS

Worked with: Matlab, Python, C

Written at least one line in: C++, SQL, Java, PHP, XML, JavaScript, PERL

WORK EXPERIENCE

Senior Engineer Staff Engineer Senior Staff Engr

Qualcomm Research

Santa Clara, CA & San Diego, CA August 2004 - present

Leading team of engineers developing statistical inference, machine learning and

signal processing algorithms for indoor positioning using crowdsourced WiFi data,

inertial sensors and building maps.

Partnered with Qualcomm product divisions to ensure successful commercialization of

products based on above algorithms on multiple Android flagship devices.

Recipient of 2013 Distinguished Contributor Award, given annually to one person in

Qualcomm Research for outstanding technical contributions. [Video:

http://youtu.be/yzD-kF1an_8]

One of the designers of 4G LTE and LTE-Advanced, the dominant cellular technology

used worldwide. Led teams of 3-5 people in design and development of several LTE

features. Extended LTE to new deployment models such as heterogeneous networks

and peer-to-peer communications.

Represented Qualcomm at 3GPP standardization body and negotiated with dozens of

international companies to ensure widespread adoption of our technologies (by up to

a billion users). Drove LTE cellular geo-location effort from conceptual design stage

to its complete adoption by 3GPP.

Around 200 approved or pending patents, several of which apply to LTE and

contribute to Qualcomm’s multi-billion dollar licensing business. Was “Qualcomm

Inventor of the Year” in 2009 due to these patents.

Worked on most aspects of wireless physical and MAC layer design. Helped design

architecture for Qualcomm’s first 4G modem, wrote code for testing it and worked

with hardware and software engineers on developing the chip.

Stanford University Part-Time Graduate Student

Stanford, CA September 2010 – present

Class projects on speech separation using machine learning (CS229), SQL query design

for eBay database (CS145), flu detection using probabilistic graphical models (CS228).

Finished in top 8 in intelligent PacMan agent design competition (CS221).

Term paper on evolutionary game theory demonstrating a connection between mixed

Nash Equilibria and the origin of species (CS224M).

California Institute of Technology Graduate Research Assistant

Pasadena, CA June 2001 - June 2004

Analyzed message passing decoding of Fountain codes and designed codes for

multiple-access channels. Derived capacity of block fading channels, and multicast

capacity of a class of wireless networks.

Taught class on error correction coding and interned at NASA’s Jet Propulsion

Laboratory (JPL).

Mitsubishi Electric Research Laboratories Intern

Cambridge, MA January 2003 – September 2003

Studied Bayesian inference algorithm called generalized belief propagation (GBP), and

built GBP-based decoder for Euclidean geometry codes.

HONORS AND AWARDS

Won Qualcomm’s Distinguished Technical Contributor Award. (2013)

Was Inventor of the Year at Qualcomm. (2009)

Nominated for the IEEE Information Theory Society Best Paper Award. (2006)

Awarded the Engineering and Applied Sciences fellowship by Caltech. (2000)

Finished 2nd in the IIT Madras EE class. (2000)

Ranked 66th out of approximately 100,000 in the IIT joint entrance exam. (1996)

Selected for Indian National Mathematical Olympiad. (1995)

Awarded the National Talent Search Scholarship by the Govt. of India. (1994)

SELECTED PUBLICATIONS

A. Naguib, P. Pakzad, R. Palanki, S. Poduri and Y. Chen, "Scalable and accurate indoor

positioning on mobile devices," 4th Annual Conference on Indoor Positioning and Indoor

Navigation, Oct 2013.

R. Palanki, M. Fossorier, and J. S. Yedidia, "Iterative decoding of multi-step majority

logic decodable codes," IEEE Transactions on Communications, Jun 2007.

R. Gowaikar, A. F. Dana, R. Palanki, B. Hassibi and M. Effros, "On the capacity of

wireless erasure networks," IEEE Transactions on Information Theory, Mar 2006.

R. Palanki and J. S. Yedidia, "Rateless codes on noisy channels," Proceedings of the 38th

Annual Conference on Information Sciences and Systems, Mar 2004.

R. Palanki, "On the capacity achieving distributions of some fading channels,"

Proceedings of the 40th Allerton Conference on Communication, Control and Computing, Oct

2002.

R. Palanki, A. Khandekar and R. J. McEliece, "Graph-based codes for synchronous

multiple access channels," Proceedings of the 39th Allerton Conference on Communication,

Control and Computing, Oct 2001.

SELECTED PATENTS

M. Wang and R. Palanki, “Highly Detectable Pilot Structure,” USPTO 8,391,401 B2, Sep

2009.

R. Palanki, “Method and apparatus for channel estimation in a wireless

communications device,” USPTO 7,852,744 B2, Oct 2006.

R. Palanki and A. Khandekar, “Methods and apparatus for flexible hopping in a

multiple access network,” USPTO 7,860,149 B2, Dec 2004.

GRADUATE COURSES

Computer Science

Machine Learning, Artificial Intelligence Principles and Techniques, Probabilistic

Graphical Models, Introduction to Robotics, Design and Analysis of Algorithms,

Introduction to Databases, Logic and Automated Reasoning, Information Retrieval and

Web Search, Multi-Agent Systems

Electrical Engineering

Information Theory, Digital Signal Processing, Communication Theory, Error

Correcting Codes, Data Compression, Linear Dynamical Systems, Convex

Optimization

ADDITIONAL INFORMATION

U.S. Citizen. Traveled to 35 countries. Speak 4 languages.

Like hiking, running, photography.

Contact this candidate