AboutContactPrivacy PolicyTerms of Service Login

Michael Tay: Age, Phone, Address

Found 54 people

Resumes

Resumes

Michael Tay - Johnstown, PA

Michael Tay Photo 1
Work:
Metlife Insurance Co. - Johnstown, PA Oct 1975 to Jan 1999
Computer Operator/Data Entry
Skills:
Information Technology

Graphics Software Engineer

Michael Tay Photo 2
Work:
Apple
Graphics Software Engineer
Education:
Digipen Institute of Technology 2012 - 2015
Bachelors, Bachelor of Science, Computer Science

Medical Director

Michael Tay Photo 3
Location:
Reno, NV
Industry:
Medical Practice
Work:
Comprehensive Cancer Centers of Nevada
Radiation Oncology
Lack Cancer Center Grand Rapids Mi
Medical Director
Education:
Faculty of Medicine University of Indonesia 1955 - 1961
Doctor of Medicine, Doctorates, Doctor of Philosophy
Skills:
Microsoft Office, Customer Service, Microsoft Excel, Microsoft Word, Public Speaking, Healthcare, Research, Powerpoint, Strategic Planning, Leadership
Certifications:
Therapeutic Radiology/Radiation Oncology
American Board of Radiotolgy

Phones & Addresses

Name
Addresses
Phones
Michael R Tay
663 Old Bethel Rd, Palmersville, TN 38241
(731) 822-3428, (731) 822-4704
Michael F Tay
875 3Rd Ave, New York, NY 10022
(212) 906-2000
Michael R Tay
4505 Madison Ave, Kansas City, MO 64111
(816) 531-0509
Michael J Tay
813 Garland Dr, Palo Alto, CA 94303
(650) 321-0156
Michael K Tay
21 Tudor, Lumberton, NJ 08048
(609) 288-6242
Michael K Tay
2201 Horton St, Seattle, WA 98144
(206) 723-8110

Business Records

Name / Title
Company / Classification
Phones & Addresses
Michael Tay
Director
WORLD LITTLE SMILES
5508 Summerhill Ln, Temple, TX 76502

Publications

Us Patents

Model Predictive Control Of A Fermentation Feed In Biofuel Production

US Patent:
8634940, Jan 21, 2014
Filed:
Jun 4, 2007
Appl. No.:
11/757557
Inventors:
Maina A. Macharia - Round Rock TX, US
Patrick D. Noll - Richardson TX, US
Michael E. Tay - Georgetown TX, US
Assignee:
Rockwell Automation Technologies, Inc. - Mayfield Heights OH
International Classification:
C12M 1/38
G05B 13/04
US Classification:
700 29, 700 28, 700 33, 700 36, 700 44, 700 51, 703 11
Abstract:
System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective. The controller is operable to dynamically control the biofuel production process by adjusting the plurality of manipulated variables to model-determined target values to stabilize water/biomass balance in the fermentation feed in accordance with the specified objective, including the specified target biomass concentration.

Nonlinear Model Predictive Control Of A Biofuel Fermentation Process

US Patent:
8571690, Oct 29, 2013
Filed:
Oct 30, 2007
Appl. No.:
11/927960
Inventors:
James F. Bartee - Stilesville IN, US
Maina A. Macharia - Round Rock TX, US
Patrick D. Noll - Richardson TX, US
Michael E. Tay - Georgetown TX, US
Assignee:
Rockwell Automation Technologies, Inc. - Mayfield Heights OH
International Classification:
C12M 1/38
G05B 13/04
C12M 1/36
C12M 1/34
C12M 1/00
US Classification:
700 28, 700299, 703 11
Abstract:
A system and method are provided for managing batch fermentation in a biofuel production process. A nonlinear control model of yeast growth and fermentable sugar concentration for biofuel (e. g. , fuel ethanol) production in a batch fermentation process (pure and/or fed-batch fermentation) of a biofuel production process is provided. Process information for the batch fermentation process is received, and the nonlinear control model executed using the process information as input to determine values of one or more fermentation process variables for the batch fermentation process, e. g. , fermentation temperature and/or enzyme flow, for substantially maximizing yeast growth and achieving target fermentable sugar concentrations. The batch fermentation process is then controlled in accordance with the determined values for the one or more fermentation process variables to substantially maximize yeast growth and achieve target fermentable sugar concentrations, where substantially maximizing yeast growth and achieving target fermentable sugar concentrations substantially maximizes biofuel production in the batch fermentation process.

Cook Flash Temperature Optimization

US Patent:
2010008, Apr 1, 2010
Filed:
Sep 30, 2008
Appl. No.:
12/242635
Inventors:
Maina A. Macharia - Round Rock TX, US
Michael E. Tay - Georgetown TX, US
Assignee:
ROCKWELL AUTOMATION TECHNOLOGIES, INC. - Mayfield Heights OH
International Classification:
G05D 23/00
G06N 5/04
G05D 7/00
US Classification:
700282, 700300, 706 46
Abstract:
The present invention provides novel techniques for controlling the output of a distillation sub-process by controlling, using model predictive control, the temperature of steam used in the distillation sub-process, wherein the steam is generated in a milling and cooking sub-process. In particular, the present techniques are presented in the context of biofuel production, wherein the temperature of a cook tube generated in a milling and cooking sub-process may be controlled to optimize the energy utilization in the ethanol/water separation of a side stripper column, which uses the cook flash steam as an energy source. However, the present techniques may also be applied to other suitable applications, such as liquor processing, where steam generated in a different process may be used in a distillation process to help separate water from the liquor.

Model Predictive Control Of Fermentation Temperature In Biofuel Production

US Patent:
2008010, May 8, 2008
Filed:
Oct 30, 2007
Appl. No.:
11/928344
Inventors:
James Bartee - Stilesville IN, US
Maina Macharia - Round Rock TX, US
Patrick Noll - Richardson TX, US
Michael Tay - Georgetown TX, US
International Classification:
C12Q 3/00
G06G 7/48
US Classification:
435003000, 703011000
Abstract:
System and method for controlling temperature of a batch fermenter in a biofuel production process. A nonlinear predictive integrating temperature model for a batch fermentation process is provided that is a function of fermenter level. An objective for the batch fermentation process specifying a target fermenter temperature for the batch fermentation process is received, as is process information for the batch fermentation process, including fermenter level and fermenter temperature. The nonlinear predictive integrating temperature model is executed in accordance with the objective using the process information as input to determine target values for manipulated variables for controlling fermenter temperature of the batch fermentation process. The fermenter temperature for the batch fermentation process is controlled in accordance with the target values to produce biofuel in accordance with the objective, to substantially optimize the end of batch biofuel yield.

Integrated Model Predictive Control Of Distillation And Dehydration Sub-Processes In A Biofuel Production Process

US Patent:
8521310, Aug 27, 2013
Filed:
Sep 27, 2007
Appl. No.:
11/862391
Inventors:
Celso Axelrud - Round Rock TX, US
Maina A. Macharia - Round Rock TX, US
Michael E. Tay - Georgetown TX, US
Assignee:
Rockwell Automation Technologies, Inc. - Mayfield Heights OH
International Classification:
G05B 13/04
C12M 1/36
C12M 1/34
C12M 1/00
US Classification:
700 29, 700 32, 700 33, 700 45, 700 50, 703 11, 203DIG 18
Abstract:
A system and method are provided for integrated management of a biofuel distillation process and a biofuel dehydration process of a biofuel production process, comprising a dynamic multivariate model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive distillation and dehydration process information including biofuel compositions, receive an objective for biofuel production output from the distillation and dehydration processes, e. g. , target product composition, production rate, and/or feed rate, and generate model output comprising target values for a plurality of manipulated variables related to the distillation and dehydration processes in accordance with the objective. The controller is operable to dynamically control the biofuel production process by adjusting the plurality of manipulated variables to the model-determined target values in accordance with the objective for biofuel production.