Microsoft Office Management Microsoft Word Research Powerpoint Sales Leadership Music Tennis Table Tennis Organization Skills Design Strategic Planning Writing Unicycle
The Veloz Group Los Angeles, CA Sep 2012 to Sep 2013 Intern at Business DepartmentMarkov Chains and Stochastic Process
2012 to 2012SWJTU
2011 to 2011 Team Leader
Education:
University of Southern California Los Angeles, CA May 2014 Master of Science in Financial EngineeringSouthwest Jiaotong University Chengdu, CN May 2014 Graduate Certificate in Financial Analysis and ValuationSchool of Mathematics Jun 2012 BS in Mathematics and Applied Mathematics
Valeriy Nenov - Los Angeles CA, US Xiao Hu - Los Angeles CA, US Marie-Laure Leglise - Los Angeles CA, US
International Classification:
A63C 1/00 G10H 3/00
US Classification:
280811, 84718
Abstract:
An electronic music device for skaters is boot mounted and includes a sensor sensing skate states capturing forward backward direction of motion and inside outside lean. A sensory signal conditioning and calibration circuit converts mapped signals into audible tones. An audio amplifier powers wired or wireless headphones. The skater plays music with skates like a musician plays music on a musical instrument. The device tuned as different musical instruments, in a synchronized precision skating team allows musical composition performance. The skaters play the music with their skates creating musical and choreographic dance.
Xiao Hu - Los Angeles CA, US Vesselin Zlatev - Aliso Viejo CA, US Farzad D. Buxey - Marina Del Ray CA, US
Assignee:
The Regents of the University of California - Oakland CA Global Care Quest, Inc. - Aliso Viejo CA
International Classification:
G06K 9/54 G06K 9/60
US Classification:
382305
Abstract:
Some embodiments provide a method and system for efficiently transferring medical images. Some embodiments receive a medical image in a first platform dependent format of a Picture Archiving and Communication System (PACS). The first platform dependent format is one that is accessible by a first format compliant device that includes a library that specifies how to decode the first format. Some embodiments transform the medical image from the first format to a second format. The second format includes decoded content of the first format that is viewable on a first format non-compliant device. The transformed image is then passed to the device for viewing. Additionally, some embodiments efficiently transfer medical images by identifying image settings for one or more devices and by passing requested images that are optimized by resizing the images according to the image settings of the requesting device.
Valeriy Nenov - Los Angeles CA, US Xiao Hu - Los Angeles CA, US
International Classification:
G06Q 10/00 G10L 15/00 G06Q 50/00
US Classification:
705 3, 704235, 705 2, 704E15045
Abstract:
A system, for interpreting information for a physician user or non-physician user, is described. The system includes a processing module configured to convert numerical data to at least one of a natural-language text and a machine vocalization. The at least one of the natural-language text and the machine vocalization describes a characteristic of the numerical data. The characteristic of the numerical data comprises at least one of a trend, a first derivative, a second derivative, a high value, a low value, and a time period, a pattern of repetition, an extrapolation, an interpolation, and a frequency. The physician user may enter data or receive data by voice alone through the backend database. The physician user may also order tests, labs or check on the same by voice alone.
Xiao Hu - Los Angeles CA, US Neil Martin - Encino CA, US Farzad Buxey - Marina Del Rey CA, US Vesselin Zlatev - Aliso Viejo CA, US Valeriy Nenov - Los Angeles CA, US
International Classification:
A61B 5/00
US Classification:
600300, 600301
Abstract:
Some embodiments of the invention provide an automated method for continuously monitoring at least one patient. The method continuously collects medical data about the patient from several different inputs. The method integrates the collected data, and continuously computes at least one severity score for the patient based on the integrated data. The method uses the severity scores to continuously monitor the patient. In some embodiments, integrating the data includes formatting the data so that that the data can be used to compute the severity score. Formatting the data in some embodiments includes using a set of database tables to convert the data. In some embodiments, the database tables are modifiable by a user. Some embodiments continuously compute multiple severity scores. The severity scores computed in some embodiments include the APACHE II score, the SAPS II score, the MEWS score, or user-defined severity scores.
Valeriy I. Nenov - Los Angeles CA, US Neil A. Martin - Encino CA, US Farzad D. Buxey - Marina del Rey CA, US Xiao Hu - Los Angeles CA, US
International Classification:
G10L 15/22
US Classification:
704275, 704E1504
Abstract:
A method provides a display area of a computer system for displaying a set of data. The data includes clinical data for one or more medical patients. The method provides multiple controls for performing multiple functions. The method provides an audio interface for controlling at least one of the controls through audio commands.
Data Mining System For Noninvasive Intracranial Pressure Assessment
Xiao Hu - Los Angeles CA, US Valeriy I. Nenov - Westchester CA, US Neil A. Martin - Encino CA, US
Assignee:
The Regents of the University of California - Oakland CA
International Classification:
A61B 5/00
US Classification:
600561
Abstract:
Systems and methods are described for noninvasively assessing an intracranial pressure of a patient. Some embodiments include providing a simulation model with a measured arterial blood pressure of the patient. Some embodiments further include providing the simulation model with a measured cerebral blood flow velocity of the patient. The simulation model correlates arterial blood pressure values, cerebral blood flow velocity values, and intracranial pressure values. Some embodiments further includes determining an intracranial pressure of the patient based on the simulation model. Some embodiments further includes creating an output data set indicative of the determined intracranial pressure.
Morphological Clustering And Analysis Of Intracranial Pressure Pulses (Mocaip)
Xiao Hu - Redondo Beach CA, US Marvin Bergsneider - Los Angeles CA, US
Assignee:
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA
International Classification:
A61B 5/00
US Classification:
600561
Abstract:
A system and method for recognizing the locations of the three ICP sub-peaks present in Intracranial Pressure (ICP) pulses and then calculating pulse metrics automatically and continuously. These metrics allow a comprehensive quantitative characterization of ICP pulse morphology including pulse amplitude, time intervals among sub-peaks, curvature, slope, and decay time constants over a course of time. One embodiment of the system provides real time monitoring and forecasting of intracranial and cerebrovascular pathophysiological changes with beat-by-beat pulse detection, pulse clustering, non-artifactual pulse recognition, peak detection and optimal peak designation processes.
Washington Junior High School Naperville IL 2001-2005
Community:
Tracy Tittelbach, Lindsey Mackey, Emily Stone, Michael Combs, John Kirk, Mike Mckillip, Andrew Taggert, Priya Rajendran, Kaitlyn Huffman, Olivia Noelle, Kelly Winters
Xiao Mei Hu (1996-1998), Nicola Zheng (1992-1995), Wendy Eng (1982-1985), Zhi Fan Luo (1992-1995), Jia Xin Wen (1999-2003), Patricia Catucci (1992-1995)