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Wenyi Zhang Phones & Addresses

  • 144 Lockwood Rd, Riverside, CT 06878
  • Cos Cob, CT
  • Stamford, CT
  • San Diego, CA
  • Jersey City, NJ
  • La Jolla, CA
  • Gainesville, FL

Work

Company: Ubs investment bank Jun 2010 Position: Quant developer

Education

School / High School: University of California- San Diego, CA 2009 Specialities: Ph.D. in Electrical Engineering

Skills

Machine Learning • Derivative Pricing • Statistical Modeling (EM algorithm • Hidden Markov Model • PCA/ICA • Bayesian Learning • etc.) • Monte Carlo Simulation • Numeric Optimization • Time Series Analysis • Probability and Statistics • Pattern Recognition • Speech Recognition • Parameter Estimation • Digital and Statistical Signal Processing • Linear Algebra. Proficient in C/C++.... • Matlab • SQL • Perl. Concurrent Programming (multi-... • Data Structures and Algorithms • Object Oriented Programming • Database • Operating System • Solaris • Linux.

Professional Records

Medicine Doctors

Wenyi Zhang Photo 1

Wenyi Zhang

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Specialties:
Endocrinology, Diabetes & Metabolism
Work:
Harbor UCLA Medical Center Endocrinology
1000 W Carson St STE 446, Torrance, CA 90502
(310) 222-1861 (phone), (310) 533-0627 (fax)
Languages:
English
Spanish
Description:
Dr. Zhang works in Torrance, CA and specializes in Endocrinology, Diabetes & Metabolism. Dr. Zhang is affiliated with Harbor UCLA Medical Center.

Resumes

Resumes

Wenyi Zhang Photo 2

Wenyi Zhang

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Wenyi Zhang Photo 3

Wenyi Zhang

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Wenyi Zhang Photo 4

Wenyi Zhang

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Wenyi Zhang Photo 5

Wenyi Zhang Cos Cob, CT

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Work:
UBS Investment Bank

Jun 2010 to 2000
Quant developer

Bloomberg

Jul 2009 to Jun 2010
Financial software engineer

AT&T Shannon Lab & Motorola Lab

Intern at AT&T Shannon Lab & Motorola Lab

UCSD
San Diego, CA
PhD

Education:
University of California
San Diego, CA
2009
Ph.D. in Electrical Engineering

Shanghai Jiao Tong Univ. China
2003
M.S. in Electrical Engineering

Skills:
Machine Learning, Derivative Pricing, Statistical Modeling (EM algorithm, Hidden Markov Model, PCA/ICA, Bayesian Learning, etc.), Monte Carlo Simulation, Numeric Optimization, Time Series Analysis, Probability and Statistics, Pattern Recognition, Speech Recognition, Parameter Estimation, Digital and Statistical Signal Processing, Linear Algebra. Proficient in C/C++. Familiar with Java, Matlab, SQL, Perl. Concurrent Programming (multi-threading), Data Structures and Algorithms, Object Oriented Programming, Database, Operating System, Solaris, Linux.

Publications

Us Patents

Method And Apparatus For Spectral Sensing

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US Patent:
8600312, Dec 3, 2013
Filed:
Jan 25, 2010
Appl. No.:
12/693284
Inventors:
Zhi Quan - San Diego CA, US
Stephen J. Shellhammer - Ramona CA, US
Wenyi Zhang - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
H04B 17/00
US Classification:
455 6713, 455 85, 455 6711, 455214, 370342
Abstract:
An apparatus for wireless communication includes a processing system. The processing system is configured to estimate a power spectral density of a first signal. In addition, the processing system is configured to determine a normalized correlation detector between the estimated power spectral density and a known power spectral density of a second signal. Furthermore, the processing system is configured to determine whether the first signal contains the second signal based on the normalized correlation detector.

Spatio-Temporal Random Voting Scheme For Cognitive Networks

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US Patent:
20100105419, Apr 29, 2010
Filed:
Sep 3, 2009
Appl. No.:
12/553955
Inventors:
Yong Jin Kim - San Diego CA, US
Lakshminath R. Dondeti - Hyderabad, IN
Stephen J. Shellhammer - Ramona CA, US
Wenyi Zhang - San Diego CA, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
H04B 7/00
US Classification:
455509, 455515
Abstract:
A spatio-temporal random voting scheme is provided that incorporates location distribution, spatial randomness, and temporal randomness in the collection of information from a plurality of sensing devices within the cognitive network. The region is divided into a plurality of sectors, where each sector is a portion of the region. A subset of sectors is selected from the plurality of sectors in the region to provide spatial randomness. A device is randomly selected from each sector in the subset of sectors to provide additional spatial randomness to the information collection process. Temporal randomness may be introduced by randomly selecting a timeslot within a sensing window period in which devices are to scan a frequency spectrum band to determine if a signal energy above a threshold is detected. Sensing reports are then collected from the selected sensing devices and used to determine whether the frequency spectrum band is available or in use.

Applying Spurious Interference Rejection To Detect Incumbent Users Of Television Channels

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US Patent:
20100302459, Dec 2, 2010
Filed:
Apr 1, 2010
Appl. No.:
12/752527
Inventors:
Wenyi Zhang - San Diego CA, US
Stephen J. Shellhammer - San Diego CA, US
Assignee:
QUALCOMM INCORPORATED - San Diego CA
International Classification:
H04N 5/46
H04B 17/00
H04B 15/00
US Classification:
348729, 455 6711, 455313, 348E05114
Abstract:
The use of white space devices in unused portions of the television channel spectrum is facilitated by spectrum sensing techniques that combine interference rejection techniques with feature extraction techniques to detect presence or absence of incumbent users in the spectrum.
Wenyi Zhang from Riverside, CT, age ~46 Get Report