Hao Jiang, Age 491718 Monet Hl, Charlottesville, VA 22911

Hao Jiang Phones & Addresses

1718 Monet Hl, Charlottesvle, VA 22911

Charlottesville, VA

Richmond, VA

Henrico, VA

Vestavia, AL

New York, NY

Columbus, OH

Parkville, MD

150 Columbus Ave APT 18D, New York, NY 10023

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Work

Company: University of michigan Sep 2008 Position: Research fellow

Education

School / High School: New York University- New York, NY 2000 Specialities: PhD in Computational Chemistry

Skills

Computational research • High performance computing • Scientific programming • Parallel programming • C • C++ • Fortran • Python • Linux • Data analysis

Ranks

Licence: New York - Currently registered Date: 2003

Mentions for Hao Jiang

Career records & work history

Lawyers & Attorneys

Hao Jiang Photo 1

Hao Jiang - Lawyer

Address:
Zhong Lun Law Firm
Licenses:
New York - Currently registered 2003
Education:
Villanova University

License Records

Hao Jiang

Address:
New York, NY 10018
Licenses:
License #: 239018363 - Active
Issued Date: Mar 20, 2008
Expiration Date: Sep 30, 2018
Type: Registered Certified Public Accountant

Hao Jiang resumes & CV records

Resumes

Hao Jiang Photo 45

Engineer

Industry:
Entertainment
Work:
Disneyland
Engineer
Hao Jiang Photo 46

Associate Professor

Location:
Charlottesville, VA
Work:

Associate Professor
Hao Jiang Photo 47

Hao Jiang

Location:
2780 Davison Ave, Auburn Hills, MI 48326
Industry:
Financial Services
Work:
Dent-A-Med
Computer Programmer
Hao Jiang Photo 48

Hao Jiang

Work:
Disney
Environmental Engineer
Hao Jiang Photo 49

Hao Jiang

Hao Jiang Photo 50

Hao Cai Jiang

Hao Jiang Photo 51

Hao Jiang

Hao Jiang Photo 52

Hao Jiang

Publications & IP owners

Us Patents

Property Valuation Model And Visualization

US Patent:
2021027, Sep 9, 2021
Filed:
Mar 3, 2020
Appl. No.:
16/807440
Inventors:
- New York NY, US
Hao Yan - Davis CA, US
Xu Cai - New York NY, US
Qiuhao Zhang - Boston MA, US
Dun Wang - New York NY, US
Hao Jiang - New York NY, US
International Classification:
G06Q 50/16
G06Q 30/02
Abstract:
Automated property value calculation is provided. The method comprises receiving historic transaction data for a group of real estate properties over a specified time and receiving characteristic data regarding the properties for a number of defined categories. Historic data is also received for a number of demographic parameters over the specified time. The demographic data corresponds to regions in which the properties are located. A predictive valuation model is built with the financial transaction data, characteristic data, and demographic data. Individual values are calculated with the predictive valuation model for a new group of real estate properties according to their characteristics. The individual values are then aggregated. Financial transaction data is received for the new group of properties, and a net asset value of the new group of properties is calculated according to the aggregated valuations and financial transaction data.

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