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Pero M Subasic

age ~57

from Los Altos, CA

Also known as:
  • Pero Subasic
  • Subasic Pero

Pero Subasic Phones & Addresses

  • Los Altos, CA
  • Mountain View, CA
  • 16414 36Th St, Phoenix, AZ 85048
  • Santa Clara, CA
  • 4630 Lakeshore Dr, Tempe, AZ 85282 • 480 839-6888
  • Pittsburgh, PA
  • Ambler, PA
  • 1395 Ranchita Dr, Los Altos, CA 94024

Work

  • Company:
    Docomo innovations, inc.
    Mar 2012 to Aug 2013
  • Position:
    Vice president, cloud computing and big data

Education

  • Degree:
    Visiting Professor
  • School / High School:
    Tokyo Institute of Technology
    1995 to 1996
  • Specialities:
    Interdisciplinary Graduate School of Science and Engineering

Skills

Cloud Computing • Big Data • Machine Learning • Information Retrieval • Computational Linguistics • Artificial Intelligence • Data Mining • Distributed Systems • Real time • Computer Science • Computation • Algorithms • Technology Transfer • Erlang • C++ • Real Time • EDA • CAD • CAE • Hadoop • Natural Language Processing • Scalability • Java • Programming • Search • OOP • Perl • MapReduce • Software Design • C • System Architecture • REST • Ruby • Object Oriented Design • High Performance Computing • Linux • Amazon Web Services (AWS) • Git • NoSQL • Optimization • Neural Networks • Multithreading

Languages

English • Japanese • Serbo-Croatian • German

Awards

- Japanese Ministry of Education (Monbusho) 4 year Scholarship for professional specialization in Japan • - Serbian Government Scholarship for Young Scientists, 4 years • - more than 40 peer-reviewed papers in international conferences and journals • - one authored book on Fuzzy Systems and Neural Networks • - seven issued patents, three pending

Industries

Telecommunications

Us Patents

  • Placer With Wires For Rf And Analog Design

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  • US Patent:
    7603642, Oct 13, 2009
  • Filed:
    Sep 27, 2006
  • Appl. No.:
    11/528235
  • Inventors:
    Pero Subasic - Santa Clara CA,
    Xuejin Wang - Chandler AZ,
    Enis A. Dengi - Tempe AZ,
    Ibraz H. Mohammed - Tempe AZ,
  • Assignee:
    Cadence Design Systems, Inc. - San Jose CA
  • International Classification:
    G06F 17/50
  • US Classification:
    716 10, 716 12, 716 14
  • Abstract:
    The invention is a method of placement of components and networks (nets), utilized for interconnecting the components, of a circuit layout. The method includes forming for electrical devices, pads (or lands) and networks (nets) of a circuit layout a listing of the positions thereof with respect to one another, connections therebetween and the orientation of each net or subnet thereof in the circuit layout. The thus formed list is processed subject to at least one objective regarding the size of the circuit layout, whereupon a placement of the electrical devices and the pads is determined simultaneously with the placement of the networks.
  • System And Method For Generating Functions To Predict The Clickability Of Advertisements

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  • US Patent:
    7631008, Dec 8, 2009
  • Filed:
    Jun 29, 2006
  • Appl. No.:
    11/479186
  • Inventors:
    Chad Carson - Cupertino CA,
    Ashvin Kannan - Sunnyvale CA,
    Erick Cantu-Paz - Sunnyvale CA,
    Rukmini Iyer - Los Altos CA,
    Pero Subasic - Santa Clara CA,
    Christopher C. LuVogt - Sunnyvale CA,
    Christopher Leggetter - Belmont CA,
    Jan Pedersen - Los Altos Hills CA,
    David Cho-Lun Ku - Palo Alto CA,
  • Assignee:
    Yahoo! Inc. - Sunnyvale CA
  • International Classification:
    G06F 17/30
  • US Classification:
    707102, 707 3, 715812, 705 10
  • Abstract:
    The present invention is directed towards systems and methods for predicting a frequency with which an advertisement displayed in response to a query will be selected. The method of the present invention comprises receiving analytics data associated with a display of one or more advertisements in response to one or more queries. One or more features associated with the one or more advertisements displayed in response to the one or more queries are identified. One or more functions are generated for predicting a frequency with which a given advertisement displayed in response to a query will be selected using the analytics data and features associated with the one or more advertisements displayed in response to the one or more queries.
  • Hierarchical System Design

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  • US Patent:
    7657416, Feb 2, 2010
  • Filed:
    Aug 12, 2005
  • Appl. No.:
    11/202742
  • Inventors:
    Pero Subasic - Phoenix AZ,
    Enis Aykut Dengi - Tempe AZ,
  • Assignee:
    Cadence Design Systems, Inc - San Jose CA
  • International Classification:
    G06F 17/50
    G06G 7/62
  • US Classification:
    703 13, 706921, 716 2
  • Abstract:
    A method of system design, and more particularly a method of designing systems that achieve a set of performance goals using a hierarchically partitioned system representation wherein performance simulations are performed at multiple levels within the hierarchy and are combined to simulate a system level result in order to reduce the aggregate time required for performance simulation.
  • Hierarchical System Design

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  • US Patent:
    7957949, Jun 7, 2011
  • Filed:
    Jan 11, 2010
  • Appl. No.:
    12/685605
  • Inventors:
    Pero Subasic - Phoenix AZ,
    Enis Aykut Dengi - Tempe AZ,
  • Assignee:
    Cadence Design Systems, Inc. - San Jose CA
  • International Classification:
    G06F 17/50
    G06G 7/62
  • US Classification:
    703 13, 716132, 716136
  • Abstract:
    A method of system design, and more particularly a method of designing systems that achieve a set of performance goals using a hierarchically partitioned system representation wherein performance simulations are performed at multiple levels within the hierarchy and are combined to simulate a system level result in order to reduce the aggregate time required for performance simulation.
  • Systems And Methods For Online User Profiling And Segmentation

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  • US Patent:
    8504411, Aug 6, 2013
  • Filed:
    Sep 14, 2009
  • Appl. No.:
    12/558891
  • Inventors:
    Pero Subasic - Mountain View CA,
    Hans Marius Holtan - San Jose CA,
    Robert S. Cabacungan - Haymarket VA,
    Manu Shukla - Sterling VA,
    Rohan A. Mehta - Mountain View CA,
    Jay L. Chang - Potomac MD,
    Kenin A. H. Coloma - Sunnyvale CA,
    Neil Cohen - Oak Hill VA,
    Brian Whitney - Reston VA,
    Jaimyoung Kwon - Alameda CA,
    Yan Qu - Cupertino CA,
  • Assignee:
    AOL Advertising Inc. - Dulles VA
  • International Classification:
    G06Q 30/00
  • US Classification:
    705 733, 705 729, 705 1441, 705 1453, 705 1455, 707734, 707733
  • Abstract:
    A computer-implemented method is provided for managing online user profiles. The method includes receiving information about online activity of a user, the information including at least a unique user ID and a URL requested by the user; fetching textual content associated with the URL requested by the user; generating one or more keywords based on the textual content; and generating or updating a user profile of the user to include the one or more keywords. A system for managing online user profiles is also provided.
  • Systems And Methods For Contextual Analysis And Segmentation Using Dynamically-Derived Topics

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  • US Patent:
    2013008, Mar 28, 2013
  • Filed:
    Sep 23, 2011
  • Appl. No.:
    13/241856
  • Inventors:
    Pero Subasic - Mountain View CA,
    Kenin Coloma - Sunnyvale CA,
    Guoying Zhang - Fairfax VA,
    Jiliang Chang - Potomac MD,
    Manu Shukla - Sterling VA,
  • International Classification:
    G06F 17/30
  • US Classification:
    707737, 707E17046
  • Abstract:
    Systems and methods are disclosed for contextual analysis and segmentation of information objects. According to one implementation, information objects, such as web pages and user profiles, may be analyzed to identify key terms. These key terms may be included in a contextual representation of an information object. By comparing the contextual representations of a plurality of information objects, one or more contextual segments (i.e., categories of information objects) may be created. Each contextual segment may also be associated with its own contextual representation. Once a contextual segment has been created, information objects may be assigned to the contextual segment. These contextual segments may be used to deliver targeted advertising, for example.
  • Systems And Methods For Contextual Analysis And Segmentation Of Information Objects

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  • US Patent:
    2013008, Mar 28, 2013
  • Filed:
    Sep 23, 2011
  • Appl. No.:
    13/241834
  • Inventors:
    Pero SUBASIC - Mountain View CA,
    Kenin COLOMA - Sunnyvale CA,
    Guoying ZHANG - Fairfax VA,
    Jiliang CHANG - Potomac MD,
    Manu SHUKLA - Sterling VA,
  • International Classification:
    G06F 17/30
  • US Classification:
    707741, 707E17002
  • Abstract:
    Systems and methods are disclosed for contextual analysis and segmentation of information objects. In accordance with one implementation, information objects, such as web pages and user profiles, may be processed to obtain a list of key terms. An index may be created containing each of the information objects and associated key terms. Information objects may then be matched to contextual segments (i.e., categories of information objects) by submitting terms associated with the contextual segments against the index. Further, thresholding may be applied, so that only the most relevant information objects for a contextual segment are assigned to the contextual segment.

Resumes

Pero Subasic Photo 1

Vice President, Cloud Computing And Big Data At Docomo Innovations

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Position:
Vice President, Cloud Computing and Big Data at DOCOMO Innovations, Inc.
Location:
United States
Industry:
Telecommunications
Work:
DOCOMO Innovations, Inc. since Mar 2012
Vice President, Cloud Computing and Big Data

Advertising.com Jan 2007 - Mar 2012
Chief Architect and Principal Scientist

Yahoo! Dec 2005 - Sep 2006
Principal Yahoo!

Cadence Design Systems Mar 2002 - Nov 2005
Member of Consulting Staff and Senior Research Scientist

Claritech (Clairvoyance), Justsystem Group Jan 1998 - Jun 2001
Research Scientist and Senior Research Scientist
Education:
Tokyo Institute of Technology 1995 - 1996
Visiting Professor, Interdisciplinary Graduate School of Science and Engineering
Yamagata University 1993 - 1996
Ph.D., Systems and Information Engineering
Tohoku University 1992 - 1993
Visiting Monbusho Scholar, Fuzzy Systems and Fuzzy Expert Systems
University of Belgrade, Faculty of Electrical Engineering 1990 - 1992
M.Sci., Software Systems
University of Belgrade, Faculty of Electrical Engineering 1984 - 1989
Dipl. Eng., Computer Science and Electrical Engineering
Prva Zemunska Gimnazija (ZIG) 1979 - 1983
Technician in Experimental Physics, Physics and Mathematics
Skills:
Cloud Computing
Big Data
Machine Learning
Information Retrieval
Computational Linguistics
Artificial Intelligence
Data Mining
Distributed Systems
Real time
Computer Science
Computation
Algorithms
Technology Transfer
Erlang
C++
Real Time
EDA
CAD
CAE
Hadoop
Natural Language Processing
Scalability
Java
Programming
Search
OOP
Perl
MapReduce
Software Design
C
System Architecture
REST
Ruby
Object Oriented Design
High Performance Computing
Linux
Amazon Web Services (AWS)
Git
NoSQL
Optimization
Neural Networks
Multithreading
Honor & Awards:
- Japanese Ministry of Education (Monbusho) 4 year Scholarship for professional specialization in Japan - Serbian Government Scholarship for Young Scientists, 4 years - more than 40 peer-reviewed papers in international conferences and journals - one authored book on Fuzzy Systems and Neural Networks - seven issued patents, three pending
Languages:
English
Japanese
Serbo-Croatian
German

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Pero Subasic

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