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Kun Ji

from Hoboken, NJ
Age ~40
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Also known as:
Margie F Brown, Margie G Brown, Ji Kun, Margie F Hood, Margie G Hood
Related to:
Meagan Ashley Tumblin, 39Ashley Walden, 37Anthony L Brown, 57Julie Ellen Brown, 48Shirel P Babb, 66James L HoodTony L Brown, 48Tonia L Brown, 49
Connected to:
Charlie C Ji, 55Diane V Ji, 31Don Ji, 58Eun J Ji, 71Eunhee Ji, 37Fei Ji, 39Ge Ji, 45Henry H Ji, 60Huimin Ji, 32Hye Ji, 39

Kun Ji Phones & Addresses

  • Hoboken, NJ
  • Jersey City, NJ
  • New York, NY

Resumes

Resumes

Kun Ji Photo 1

Kun Ji Jersey City, NJ

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Work:
BANK OF AMERICA MERRILL LYNCH
New York, NY
Jun 2014 to Jun 2014
Equities, Electronic Trading, Summer Associate
Algorithmic Trading

May 2014 to May 2014
Teaching Assistant
BARUCH COLLEGE
New York, NY
Mar 2014 to Mar 2014
CME GROUP
New York, NY
2013 to Jan 2013
Quantitative Analyst, Intern
ORBIXA TECHNOLOGIES INC
Toronto, ON
Jun 2009 to Jun 2009
Equity Trader
FIDELITY INVESTMENTS
Toronto, ON
Oct 2008 to Oct 2008
Pension Specialist
Kun Ji Photo 2

Kun Ji New York, NY

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Work:
CME GROUP

Jan 2013 to 2000
Intern
ORBIXA TECHNOLOGIES INC
Toronto, ON
Jun 2009 to Apr 2012
Equity Trader
FIDELITY INVESTMENTS
Toronto, ON
Oct 2008 to Feb 2009
Pension Specialist
CHINA LIFE INSURANCE CO. LTD

Jun 2006 to Jul 2006
Intern
Education:
BARUCH COLLEGE, CITY UNIVERSITY OF NEW YORK
New York, NY
2012 to 2013
Master of Science in Financial Engineering
UNIVERSITY OF TORONTO
Toronto, ON
2004 to 2008
BS in Actuarial Science
Skills:
Computer Skills:C++, Python, VBA, R, Q, Unix/Linux; Market Microstructure; Financial Derivatives Pricing; Time Series Analysis

Business Records

Name / Title
Company / Classification
Phones & Addresses
Kun Won Ji
President
ACUPUNCTURE HERB & MASSAGE CLINIC, INC

Publications

Us Patents

Method For Quantitative Resilience Estimation Of Industrial Control Systems

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US Patent:
20130132149, May 23, 2013
Filed:
Dec 6, 2010
Appl. No.:
13/703158
Inventors:
Dong Wei - Edison NJ, US
Kun Ji - Plainsboro NJ, US
International Classification:
G05B 23/02
US Classification:
705 728, 340 31
Abstract:
A three-layer model of an engineering system is proposed for developing and evaluating a resilient industrial control system incorporated within the engineering system, the model based upon a group of metrics that are cyclically estimated, operated and evaluated to create a valid resilient arrangement. The layers in the model include a human/operator layer, an automation layer and a process layer, where the industrial control system resides in the automation layer. The metrics are based upon the identification of a number of undesirable incidents, as well a determination of the frequency of occurrence of these incidents, their impact on the performance of the engineering system and the financial loss of the engineering system based upon these undesirable incidents.

Cloud Enabled Building Automation System

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US Patent:
20130274940, Oct 17, 2013
Filed:
Jun 13, 2013
Appl. No.:
13/916871
Inventors:
Dong Wei - Edison NJ, US
Florin Darie - Middletown NJ, US
Kun Ji - Plainsboro NJ, US
Zhen Song - Plainsboro NJ, US
Assignee:
SIEMENS CORPORATION - Iselin NJ
International Classification:
G05B 19/02
US Classification:
700291
Abstract:
A method of controlling energy consumption in a building. The method includes receiving occupant request data comprising a plurality of requests, wherein each of the plurality of requests corresponds to one of a plurality of zones in the building wherein the occupant request data is received via a cloud computing resource. The method also includes receiving weather data comprising at least one of current weather measurement data and weather forecast data wherein the weather data is received via a cloud computing resource. In addition, a facility management rule is received via a cloud computing resource. Further, the method includes generating a plurality of output control signals via cloud computing resource, wherein each of the plurality of output control signals is based on one of a plurality of requests and predicted occupant schedules, energy price data and the facility management rule. The control signals are generated by using simulation-based model predictive control method to determine a set of optimized control signals based on optimized energy use or optimized energy cost. The optimized control signals are transmitted to controllers.

Intelligent Workpieces

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US Patent:
20180299870, Oct 18, 2018
Filed:
Nov 6, 2015
Appl. No.:
15/766498
Inventors:
- Munich, DE
Dong Wei - Edison NJ, US
Kun Ji - Plainsboro NJ, US
Kurt Dirk Bettenhausen - West Windsor NJ, US
Assignee:
Siemens Aktiengesellschaft - Munich
International Classification:
G05B 19/418
Abstract:
An intelligent workpiece system includes a workpiece comprising a portion of a product; and an embedded computing system attached to the workpiece. The embedded computing system is configured to communicate with machines in a manufacturing environment to facilitate assembly of the workpiece into the product at a plurality of assembling areas.
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Kun Ji from Hoboken, NJ, age ~40 Get Report