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George Roumeliotis, Age 611048 Berkeley Ave, Menlo Park, CA 94025

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Known as:
Peter Roumeliotis George Roumelotis George H
Related to:
Peter A Roumeliotis 29

George Roumeliotis Phones & Addresses

1048 Berkeley Ave, Menlo Park, CA 94025 (650) 327-7206 (650) 473-1309

Lahaina, HI

Redwood City, CA

Huntsville, AL

San Mateo, CA

1048 Berkeley Ave, Menlo Park, CA 94025 (415) 327-7206

Work

Company: Cdc software Address: 2755 Campus Dr, San Mateo, CA 94403 Position: Co-founder/chief technology officer

Mentions for George Roumeliotis

Career records & work history

License Records

George Roumeliotis

Licenses:
License #: E038264 - Expired
Category: Emergency medical services
Issued Date: Jan 8, 2009
Expiration Date: Jul 31, 2011
Type: Inland Counties EMS Agency

George Roumeliotis resumes & CV records

Resumes

George Roumeliotis Photo 28

Leadership For Advanced Analytics And New Product Development

Location:
San Francisco Bay Area
Industry:
Computer Software
George Roumeliotis Photo 29

Data Science Leader For Core Hosting, And Data Science Manager

Location:
1048 Berkeley Ave, Menlo Park, CA 94025
Industry:
Research
Work:
Intuit since Mar 2013
Senior Data Scientist and Data Business Partner Intuit Oct 2010 - Feb 2013
Leader of Data-Driven New Business Initiatives Intuit Oct 2008 - Sep 2010
Principal Scientist for Data Mining Connexus Jan 2008 - Sep 2008
Director of Monetization for FirstLook Connexus Apr 2007 - Jan 2008
Director of Research and Optimization JRG (Acquired by CDC Software) Sep 2001 - Dec 2005
CTO and Co-Founder Dynaptics Jun 1997 - May 2001
CTO and Co-Founder Stanford University Jan 1991 - Feb 1997
Senior Research Scientist in Plasma Astrophysics
Education:
Bankstown Boys High School
University of Alabama
Doctorates, Doctor of Philosophy, Astrophysics Stanford University
Masters, Master of Science In Electrical Engineering University of Sydney
Bachelors, Bachelor of Science, Applied Mathematics
Skills:
Data Science, New Business Development, Product Innovation, People Development, Design Thinking, Machine Learning, Algorithm Design, Basyesian Inference, Applied Mathematics, Java, C++, Perl, Javascript, Hadoop, Hive, R, Matlab, Financial Services, Online Advertising, Supply Chain Optimization
Interests:
Cooking
Collecting Antiques
Electronics
Investing
Home Improvement
Reading
Crafts
Gourmet Cooking
Sports
The Arts
Travel
Collecting
Home Decoration
Languages:
English
George Roumeliotis Photo 30

George Roumeliotis

Publications & IP owners

Us Patents

Method And Apparatus For Planning A Manufacturing Schedule Using An Adaptive Learning Process

US Patent:
7043320, May 9, 2006
Filed:
May 14, 2004
Appl. No.:
10/846204
Inventors:
George Roumeliotis - Menlo Park CA, US
Jonathon Louis Knight - San Mateo CA, US
Assignee:
JRG Software, Inc. - San Mateo CA
International Classification:
G06F 19/00
US Classification:
700100, 700 99
Abstract:
An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.

Method For Calculating A Transition Preference Value Between First And Second Manufacturing Object Attributes

US Patent:
7406359, Jul 29, 2008
Filed:
May 8, 2006
Appl. No.:
11/382093
Inventors:
George Roumeliotis - Menlo Park CA, US
Jonathan Louis Knight - San Mateo CA, US
Assignee:
CDC Software Global Holdings Corporation - Atlanta GA
International Classification:
G06F 19/00
US Classification:
700101, 700100
Abstract:
An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.

Method And Apparatus For Planning A Manufacturing Schedule Using An Adaptive Learning Process

US Patent:
7818082, Oct 19, 2010
Filed:
Jan 25, 2008
Appl. No.:
12/010476
Inventors:
George Roumeliotis - Menlo Park CA, US
Jonathan Louis Knight - San Mateo CA, US
Assignee:
TT IP, LLC - Marshall TX
International Classification:
G06F 19/00
US Classification:
700101, 700100
Abstract:
An apparatus and method for a production planning system using a process of adaptive learning is disclosed. A production planning system receives, production objects wherein each production object has at least one attribute. In one embodiment, the production objects include information relating to product to be manufactured. After receipt of production objects, multiple preference scores according to the attributes of the production objects are calculated. In one embodiment, each preference score represents desirability of transition from manufacturing a first object to a second object. The system subsequently identifies a suggested production plan which includes a sequence order of two or more objects in response to the preference scores. In one embodiment, the planning preferences are updated or modified by an adaptive learning system in response to adjustments of the suggested production plant by a planner.

Classifying A Financial Transaction Using A Search Engine

US Patent:
8572072, Oct 29, 2013
Filed:
Feb 22, 2011
Appl. No.:
13/032534
Inventors:
George Roumeliotis - Menlo Park CA, US
Assignee:
Intuit Inc. - Mountain View CA
International Classification:
G06F 7/00
G06Q 30/00
US Classification:
707722, 705 144
Abstract:
A method involves classifying a financial transaction of an item. The method steps include receiving a text description of the item, processing the text description to generate a search term, selecting a set of named categories, conducting a first search for the search term and each named category, processing first results of the first search, calculating an affinity score for each named category, identifying a first target affinity score, identifying a target category from the set of named categories, presenting the text description and the target category, receiving feedback that the target category is incorrect, generating a revised set of named categories by removing the target category from the set of named categories, conducting a second search for the search term and each of the revised set of named categories, and presenting a revised target category.

System And Method For Adaptive Text Recommendation

US Patent:
8645389, Feb 4, 2014
Filed:
Dec 3, 2004
Appl. No.:
11/003920
Inventors:
Jonathan James Oliver - San Jose CA, US
Wray Lindsay Buntine - Berkley CA, US
George Roumeliotis - Menlo Park CA, US
Assignee:
SonicWALL, Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707748, 707723, 707737, 707917
Abstract:
Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing the text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time; for example, upon logging onto a web site or as the client views additional documents or pages of a website. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

System And Method For Pro-Active Manufacturing Performance Management

US Patent:
2007000, Jan 4, 2007
Filed:
Jun 30, 2005
Appl. No.:
11/173120
Inventors:
George Roumeliotis - Menlo Park CA, US
Jonathan Knight - San Mateo CA, US
Meg Sharkey - San Francisco CA, US
International Classification:
G06F 19/00
US Classification:
700097000, 700108000
Abstract:
A system and method of the present invention allows a user to monitor the production of a factory in real-time. The user inputs desired values for various performance metrics. Then an embodiment of the present invention analyzes manufacturing plans by directly accessing manufacturing planning software. Projections are calculated for each metric and the projections are compared to the desired values. A document is then created summarizing the desired values and the projections. The document may contain hyperlinks that enable a user to view details about any of the performance metrics. The document may also contain formatting that highlights various metrics for a variety of reasons, including the failure to meet a performance metric. The document also allows users to embed comments that are then forwarded to other users, as a means to allow collaboration from a plurality of users.

System And Method For Adaptive Text Recommendation

US Patent:
2008018, Aug 7, 2008
Filed:
Oct 29, 2007
Appl. No.:
11/927450
Inventors:
Jonathan James Oliver - San Jose CA, US
Wray Lindsay Buntine - Berkley CA, US
George Roumeliotis - Menlo Park CA, US
International Classification:
G06F 17/30
US Classification:
707 3, 707E17014
Abstract:
Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

System And Method For Adaptive Text Recommendation

US Patent:
6845374, Jan 18, 2005
Filed:
Nov 27, 2000
Appl. No.:
09/723855
Inventors:
Jonathan James Oliver - San Jose CA, US
Wray Lindsay Buntine - Berkley CA, US
George Roumeliotis - Menlo Park CA, US
Assignee:
Mailfrontier, Inc - Palo Alto CA
International Classification:
G06F 1730
US Classification:
707 5, 715513
Abstract:
Network system provides a real-time adaptive recommendation set of documents with a high statistical measure of relevancy to the requestor device. The recommendation set is optimized based on analyzing text of documents of the interest set, categorizing these documents into clusters, extracting keywords representing the themes or concepts of documents in the clusters, and filtering a population of eligible documents accessible to the system utilizing site and or Internet-wide search engines. The system is either automatically or manually invoked and it develops and presents the recommendation set in real-time. The recommendation set may be presented as a greeting, notification, alert, HTML fragment, fax, voicemail, or automatic classification or routing of customer e-mail, personal e-mail, job postings, and offers for sale or exchange.

Possible Relatives

Cynthia D Roumeliotis  Dimitrios J Roumeliotis  Petros G Roumeliotis  Charles Roumeliotis  George S Last  George N Johnson  George A Stamps  George G Stancil  George E Standish  George D Standley 

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