JIAN LI
Nursing in Raleigh, NC

License number
Florida 305091
Issued Date
Aug 27, 2014
Effective Date
Jun 15, 2015
Expiration Date
May 31, 2015
Category
Health Care
Type
Certified Nursing Assistant
Address
Address 2
8640 8640 -110 Neuse Lndg Ln, Raleigh, NC 27616
6400 6400Sw 20Ave, Ap #71, Gainesville, FL 32607
Phone
(706) 206-9321

Professional information

Jian Li Photo 1

Software Engineer At T-Mobile

Position:
Software Engineer at T-Mobile, Software Engineer at T-Mobile
Location:
Raleigh-Durham, North Carolina Area
Industry:
Telecommunications
Work:
T-Mobile since May 2009 - Software Engineer Garmin International, Inc Dec 2008 - Apr 2009 - Senior Software Engineer Sony Ericsson Mobile Communications, Inc Jul 2000 - Dec 2008 - Senior Staff Engineer ARINC, Inc Oct 1996 - Jul 2000 - Senior Staff Engineer Southwest Electric Power Design Institute Jul 1987 - Jul 1994 - Chief designer Southwest Electric Power Design Institute Jul 1987 - Jul 1994 - Engineer
Education:
Ohio University 1996
M.S, Electrical Engineering
Chongqing University
B.S, Electrical Engineering


Jian Li Photo 2

Breast Cancer Detection System

US Patent:
7340292, Mar 4, 2008
Filed:
Feb 13, 2004
Appl. No.:
10/778973
Inventors:
Jian Li - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
International Classification:
A61B 5/05
US Classification:
600430
Abstract:
A method for detecting breast cancer can include the step of positioning a transmitting antenna and a receiving antenna about a breast so that the transmitting antenna is positioned to transmit microwave energy into the breast and the receiving antenna is positioned to receive the transmitted energy after the energy has passed into the breast. Microwave energy can be transmitted from the transmitting antenna. The microwave energy can be received by the receiving antenna and used to determine a presence of tumors within the breast. A relative position of the transmitting antenna and the receiving antenna can be adjusted about the breast. After each position adjustment, the transmitting and the receiving steps can be repeated.


Jian Li Photo 3

Robust Capon Beamforming

US Patent:
6798380, Sep 28, 2004
Filed:
Feb 5, 2003
Appl. No.:
10/358597
Inventors:
Jian Li - Gainesville FL
Petre Stoica - Uppsala, SE
Zhisong Wang - Gainesville FL
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
International Classification:
H01Q 326
US Classification:
342368, 367119
Abstract:
A method for enhanced Capon beamforming, referred to herein as an advanced robust Capon beamformer (advanced RCB), includes the steps of providing a sensor array including a plurality of sensor elements, wherein an array steering vector corresponding to a signal of interest (SOI) is unknown. The array steering vector is represented by an ellipsoidal uncertainty set. A covariance fitting relation for the array steering vector is bounded with the uncertainty ellipsoid. The matrix fitting relation is solved to provide an estimate of the array steering vector.


Jian Li Photo 4

System, Device, And Methods For Resonant Thermal Acoustic Imaging

US Patent:
2009019, Aug 6, 2009
Filed:
Oct 11, 2006
Appl. No.:
12/089962
Inventors:
Jian Li - Gainesville FL, US
Mark Sheplak - Gainesville FL, US
Louis Cattafesta - Gainesville FL, US
Henry Zmuda - Newberry FL, US
Assignee:
UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC. - Gainesville FL
International Classification:
A61B 8/00, H02N 11/00
US Classification:
600437, 310300
Abstract:
A thermal acoustic imaging (TAI) system includes a source of continuous amplitude-modulated RF or microwaves for irradiating a tissue region to be imaged, wherein a modulation frequency of the RF of microwaves resonantly excite the tissue region to emit thermal acoustic signals in response. The source preferably provides a substantially uniform power distribution in the region to be imaged. An acoustic transducer receives the thermal acoustic signals and generates an electrical signal in response. Matched filtering matched to a frequency of the amplitude-modulated RF or microwaves followed by delay-and sum or adaptive methods are preferably used to generate images from the electrical signals. The acoustic transducer is preferably a micro-electromechanical system (MEMS) transducer.


Jian Li Photo 5

Multi-Frequency Microwave-Induced Thermoacoustic Imaging Of Biological Tissue

US Patent:
7266407, Sep 4, 2007
Filed:
Nov 17, 2003
Appl. No.:
10/714795
Inventors:
Jian Li - Gainesville FL, US
Gang Wang - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
International Classification:
A61B 5/05
US Classification:
600430
Abstract:
A method and system for examining biological tissue includes the steps of radiating a tissue region with a plurality of microwave radiation pulses. The microwave pulses are swept across a range of microwave frequencies. In response to the swept frequency microwave pulses, the tissue region emits a plurality of thermoacoustic signals. At least one image of the tissue region is formed from the plurality of thermoacoustic signals. The signals can be ultrawideband signals.


Jian Li Photo 6

Method And System For Flexible Beampattern Design Using Waveform Diversity

US Patent:
2009020, Aug 13, 2009
Filed:
Apr 27, 2007
Appl. No.:
12/298448
Inventors:
Jian Li - Gainesville FL, US
Petre Stoica - Uppsala, SE
Yao Xie - Gainesville FL, US
Assignee:
UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INC. - Gainesville FL
International Classification:
H01Q 3/00
US Classification:
342373
Abstract:
A system and method of designing a transmit beam pattern for Waveform Diversity is provided. The method can include minimizing a difference between the transmit beampattern and a desired beampattern under an elemental constraint, and minimizing the cross-correlations between the plurality of probing signals at the one or more target locations. Desirable features of a probing signal can be achieved by designing a covariance matrix of the probing signal. The method also can include minimizing the peak sidelobe level while pointing an energy beam in a prescribed direction under an elemental power constraint.


Jian Li Photo 7

Uniform Channel Decomposition For Mimo Communications

US Patent:
7711066, May 4, 2010
Filed:
Nov 4, 2005
Appl. No.:
11/718506
Inventors:
Yi Jiang - San Diego CA, US
Jian Li - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
International Classification:
H04L 25/49
US Classification:
375296, 375285
Abstract:
A multi-input-multi-output (MIMO) communications system is provided for conveying signals over a MIMO channel. The system includes a precoder for precoding a signal based upon a uniform channel decomposition scheme. The system further comprises a transmitter in communication with the precoder for conveying the precoded signal over a subchannel of the MIMO channel.


Jian Li Photo 8

Wireless Lan Compatible Multi-Input Multi-Output System

US Patent:
7110350, Sep 19, 2006
Filed:
Mar 5, 2004
Appl. No.:
10/793712
Inventors:
Jian Li - Gainesville FL, US
Jianhua Liu - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainsville FL
International Classification:
H04J 9/00, H04Q 7/00, H04L 1/02
US Classification:
370204, 370208, 370334, 375347, 455103
Abstract:
A system and method for enhancing the data rate of a WLAN. Through the deployment of a MIMO system, the data rate ordinarily expected of a SISO type system can be doubled. Yet, the MIMO system of the present invention can remain backward compatible with conventional WLAN standards implemented by typical SISO type system. In particular, the packet preamble of the MIMO packet of the present invention is similar to that of a conventional SISO system so as to be backward compatible with conventional SISO receivers. Additionally, the data model of the MIMO system can be configured to support the detection of symbols in the MIMO packet of the present invention. Importantly, the present invention can include a least squares soft-detector for use in a wireless LAN compatible MIMO system.


Jian Li Photo 9

Doubly Constrained Robust Capon Beamformer

US Patent:
6894642, May 17, 2005
Filed:
Oct 1, 2003
Appl. No.:
10/676777
Inventors:
Jian Li - Gainesville FL, US
Petre Stoica - Uppsala, SE
Zhisong Wang - Gainsville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
International Classification:
H01Q003/26, G01S003/80
US Classification:
342368, 367119
Abstract:
A method for enhanced Capon beamforming includes the steps of providing a sensor array including a plurality of sensor elements where an array steering vector corresponding to a signal of interest (SOI) is unknown. A covariance matrix fitting relation is bounded for the unknown array steering vector by constraining the array steering vector using a constant norm and a spherical uncertainty set. The matrix fitting relation is then solved to provide an estimate of said array steering vector.


Jian Li Photo 10

Land Mine Detector

US Patent:
7173560, Feb 6, 2007
Filed:
Aug 30, 2004
Appl. No.:
10/929269
Inventors:
Jian Li - Gainesville FL, US
Yijun Sun - Gainesville FL, US
Assignee:
University of Florida Research Foundation, Inc. - Gainesville FL
International Classification:
G01V 3/12
US Classification:
342 22, 342 27, 342195, 324326
Abstract:
A forwarding looking ground penetrating mine detection apparatus includes a radiation source for irradiating a sample of ground suspected of containing at least one mine with a plurality of frequency swept ground penetrating radar signals. A detector receives target signals backscattered from the ground responsive to the radar signal. The detector includes a time-frequency analyzer which transforms the target signals into a time-frequency image representation (TFR). In a preferred embodiment, the detector can include a wavelet packet transformer (WPT) for extracting time-frequency localized information from the TFR in the form of feature set constructed from a wavelet table. The apparatus can also include a data dimensionality reducer for selecting features to form a feature subset from the feature set, preferably based on reference to a training data set. A multilayer neural network classifier can be based on the feature subset, and be adaptable to the surrounding environment through learning.