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Cuneyt M Ozveren

from San Jose, CA
Age ~62
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Also known as:
Cuneyt M Oz, Cuneyt N
Related to:
Nazlim S Oz, 58
Connected to:
Tulin P Ozyurt, 43Okan Ozyurteri, 43Lisa H Ozzello, 72Vicky A Ozzello, 65Alexandre Ozzetti, 54Paul Ozzimo, 58Joslyn P, 47Laurence P, 57Philip P, 75Shane P, 34

Cuneyt Ozveren Phones & Addresses

  • San Jose, CA
  • 350 2Nd St STE 2, Los Altos, CA 94022
  • 14610 Quito Rd, Los Gatos, CA 95030
  • 14610 Quito Rd, Saratoga, CA 95070 (408) 378-0330
  • Sunnyvale, CA
  • Fremont, CA
  • Pittsburgh, PA
  • Somerville, MA
  • 350 2Nd St STE 2, Los Altos, CA 94022 (619) 290-7859

Work

Company: Intelligent papers May 2008 Position: Chairman and chief executive officer

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Massachusetts Institute of Technology 1987 to 1989

Interests

Mobile Enterprise • Internet Tv • Education • Consumer Internet • Tablets

Industries

Internet

Resumes

Resumes

Cuneyt Ozveren Photo 1

Chairman And Chief Executive Officer

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Location:
350 2Nd St, Los Altos, CA 94022
Industry:
Internet
Work:
Intelligent Papers
Chairman and Chief Executive Officer
Leaptag
Chairman and Chief Executive Officer
Arris Mar 2003 - Dec 2003
Vice President and General Manager
Atoga Systems Nov 1999 - Mar 2003
Chairman and Chief Executive Officer
Berkeley Networks Sep 1996 - Sep 1998
Vice President Engineering and Manufacturing
Education:
Massachusetts Institute of Technology 1987 - 1989
Doctorates, Doctor of Philosophy Mit Sloan School of Management 1985 - 1989
Master of Business Administration, Masters Massachusetts Institute of Technology 1984 - 1987
Master of Science, Masters Massachusetts Institute of Technology 1980 - 1984
Bachelors, Bachelor of Science Robert College
Interests:
Mobile Enterprise
Internet Tv
Education
Consumer Internet
Tablets

Business Records

Name / Title
Company / Classification
Phones & Addresses
Cuneyt Ozveren
Intelligent Papers Lp
Business Services at Non-Commercial Site
14610 Quito Rd, Saratoga, CA 95070

Publications

Us Patents

Open Ring Architectures For Optical Wdm Networks

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US Patent:
20020149817, Oct 17, 2002
Filed:
Mar 29, 2002
Appl. No.:
10/113777
Inventors:
Han Kiliccote - Sunnyvale CA, US
Cuneyt Ozveren - Saratoga CA, US
Mark Lowry - Castro valley CA, US
International Classification:
H04B010/20
H04J014/00
H04J014/02
US Classification:
359/119000, 359/127000
Abstract:
Methods and apparatuses of open ring optical networks are disclosed, as well as optical nodes, for example open intercepts and closed intercepts, supporting open ring optical networks. Open ring optical networks can prevent optical wavelengths from traversing an optical node in an optically transparent network. Optical feedback can be prevented in open ring optical networks, for example optical networks containing optical amplifiers. Coherent crosstalk can be prevented in open ring optical networks. Some open ring networks further allow standard communication protection techniques that are typically associated with rings which are topologically closed. These network architectures can enable low cost-of-maintenance bandwidth upgrades to the entire network.

Methods And Apparatus For Reconfigurable Wdm Lightpath Rings

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US Patent:
20020154357, Oct 24, 2002
Filed:
Mar 29, 2002
Appl. No.:
10/112091
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Stephen Shaffer - Alameda CA, US
Mark Lowry - Castro Valley CA, US
International Classification:
H04B010/20
H04J014/00
H04J014/02
US Classification:
359/124000, 359/119000
Abstract:
Methods and apparatus for dynamic bandwidth provisioning in wavelength division multiplexing (WDM) optical ring networks. A plurality of nodes within the network are configured to transmit optical signals at variable wavelengths and receive optical signals at a predetermined wavelength. A network management system computer may be provided to communicate with the network nodes to direct the wavelengths at which each node transmits and receives. A series of one or more lightpath rings within the network are defined by selecting a first plurality of network nodes to provide a channel to support the optical transmission of a communication signal therebetween having a first bandwidth allocation. Each network node within the first plurality of network nodes is instructed upon command by the network management system to transmit an optical signal at a predetermined wavelength that is to be received by only one other network node within the first plurality of network nodes to form a first series of optical links therebetween which in the aggregate form the lightpath ring. Each network node within the second plurality of network nodes is instructed upon command by the network management system to transmit an optical signal at a predetermined wavelength that is to be received by only one other network node within the second plurality of network nodes to form a second series of optical links therebetween which in the aggregate reforms the lightpath ring. Accordingly, the lightpath ring may be reformed upon command by the network management system by altering the number of network nodes within the first plurality of network nodes to define a second plurality of network nodes which dynamically provides the channel with a different bandwidth allocation.

Advertisement Selection For Peer-To-Peer Collaboration

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US Patent:
20080077494, Mar 27, 2008
Filed:
Sep 21, 2007
Appl. No.:
11/859496
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Ulas Kirazci - Sunnyvale CA, US
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
A system and method for advertisement selection. The system includes a client and an advertisement selection application. The client is capable of accessing content objects over the internet. The advertisement selection application is coupled to the client and configured to maintain at least a partial copy of advertisements. The advertisement selection application is also configured to classify the advertisements and to generate an object vector for each advertisement. The advertisement selection application is also configured to update a user interest profile in response to positive and negative feedback, and to display advertisements according to the user interest profile.

Peer-To-Peer Collaboration

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US Patent:
20080077576, Mar 27, 2008
Filed:
Sep 21, 2007
Appl. No.:
11/859446
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Ulas Kirazci - Sunnyvale CA, US
International Classification:
G06F 17/30
US Classification:
707 5, 707E17001
Abstract:
A system and method for indexing content. The system includes a crawler, a crawl database, an indexer, a classification application, and an indexed data server. The crawler is configured to crawl the internet for content objects. The crawl database is coupled to the crawler and configured to cache the content objects. The indexer is coupled to the crawl database and configured to perform feature extraction on the content objects and cluster the content objects by generating an object vector. The classification application is coupled to the indexer and configured to cluster the object vectors and generate a summary vector. The indexed data server is coupled to the indexer and configured to communicate the content objects with a client.

Feature Extraction For Peer-To-Peer Collaboration

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US Patent:
20080077578, Mar 27, 2008
Filed:
Sep 21, 2007
Appl. No.:
11/859457
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Ulas Kirazci - Sunnyvale CA, US
International Classification:
G06F 17/30
US Classification:
707 5, 707E17108
Abstract:
A system and method for feature extraction of a content object. The system includes a database and a feature extraction application. The database is configured to database to store a plurality of content objects. The feature extraction application is coupled to the database and configured to process each content object, extract a core set of features, and generate an object vector. The object vector includes a vector of numbers representative of a frequency of a superset of features potentially found in the content object.

Classification For Peer-To-Peer Collaboration

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US Patent:
20080077579, Mar 27, 2008
Filed:
Sep 21, 2007
Appl. No.:
11/859467
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Ulas Kirazci - Sunnyvale CA, US
International Classification:
G06F 7/10
US Classification:
707 5, 707E17119
Abstract:
A system and method for classifying content objects. The system includes a database and a classification application. The database is configured to store a plurality of content objects. The classification application is coupled to the database and configured to cluster content objects and implement at least one level of classification, including generating summary vectors formed of weighted sums of object vectors. The object vector includes a vector of numbers representative of a frequency of a superset of features potentially found in the content object.

Content Searching For Peer-To-Peer Collaboration

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US Patent:
20080077580, Mar 27, 2008
Filed:
Sep 21, 2007
Appl. No.:
11/859478
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Ulas Kirazci - Sunnyvale CA, US
International Classification:
G06F 17/30
US Classification:
707 5, 707E17014
Abstract:
A system and method for searching content objects. The system includes a client, a cache, and a content searching application. The client is capable of accessing content objects over the internet. The cache is coupled to the client and configured to store at least a partial copy of object vectors representative of content in the content objects. The content searching application is coupled to the cache and configured to compare the object vectors to a user interest profile to find content similar to the user interest profile.

Content Discovery For Peer-To-Peer Collaboration

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US Patent:
20080077659, Mar 27, 2008
Filed:
Sep 21, 2007
Appl. No.:
11/859514
Inventors:
Cuneyt Ozveren - Saratoga CA, US
Ulas Kirazci - Sunnyvale CA, US
International Classification:
G06F 15/16
US Classification:
709203
Abstract:
A system and method for discovering content. The system includes a feature extraction application, an indexed server, and a classification application. The feature extraction application is configured to use training examples specific to a first domain type to process content objects and to generate an object vector. The feature extraction application is also configured to apply the feature extraction to a second domain type and to generate another object vector. The indexed server is coupled to the feature extraction application and configured to maintain feature-extracted content objects and to communicate the content objects with a client. The classification application is coupled to the indexed server and configured to cluster content objects and implement at least one level of classification. The classification application is also configured to generate summary vectors formed of weighted sums of object vectors.
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Cuneyt M Ozveren from San Jose, CA, age ~62 Get Report