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Alex Shye Phones & Addresses

  • Los Angeles, CA
  • Mountain View, CA
  • 1637 Orrington Ave, Evanston, IL 60201 (847) 864-4960
  • Los Altos, CA
  • Boulder, CO
  • El Cerrito, CA
  • Gainesville, FL
  • Urbana, IL
  • 401 Hacienda Way, Los Altos, CA 94022

Emails

k***e@gci.net

Resumes

Resumes

Alex Shye Photo 1

Product And Engineering Lead

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Location:
410 Richmond St, El Cerrito, CA 94530
Industry:
Internet
Work:
Clinc, Inc.
Product and Engineering Lead

Castle Global, Inc. Aug 2016 - Dec 2016
Product Manager

8Fit Nov 2015 - May 2016
Product Manager

Various Startups Apr 2012 - Oct 2015
Co-Founder, Creator

Qualcomm Sep 2010 - Apr 2012
Senior Engineer, Corp R and D
Education:
Northwestern University 2007 - 2010
Doctorates, Doctor of Philosophy, Electrical Engineering, Electrical Engineering and Computer Science, Computer Science
University of Colorado Boulder 2003 - 2005
Master of Science, Masters, Computer Engineering
University of Illinois at Urbana - Champaign 1998 - 2002
Bachelors, Bachelor of Science, Computer Engineering
Skills:
Mobile Devices
Computer Architecture
Python
Product Management
Css
C++
C
R&D
Entrepreneurship
Analysis
Programming
Start Ups
Strategic Partnerships
Mobile Applications
Strategy
Web Development
Perl
Algorithms
E Commerce
Languages:
English
Alex Shye Photo 2

Alex Shye

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Publications

Us Patents

System And Method For Leveraging Human Physiological Traits To Control Microprocessor Frequency

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US Patent:
20100313048, Dec 9, 2010
Filed:
Jun 9, 2010
Appl. No.:
12/796887
Inventors:
Alex Shye - Evanston IL, US
Yan Pan - Evanston IL, US
Benjamin Scholbrock - Evanston IL, US
J. Scott Miller - Chicago IL, US
Gokhan Memik - Evanston IL, US
Peter A. Dinda - Evanston IL, US
Robert P. Dick - Chelsea MI, US
International Classification:
G06F 1/00
US Classification:
713320, 713300
Abstract:
A system and method for leveraging physiological traits to control microprocessor frequency are disclosed. In some embodiments, the system and method may optimize, for example, a particular processor-based architecture based on, for example, end user satisfaction. In some embodiments, the system and method may determine, for example, whether their users are satisfied to provide higher efficiency, improved reliability, reduced power consumption, increased security, and a better user experience. The system and method may use, for example, biometric input devices to provide information about a user's physiological traits to a computer system. Biometric input devices may include, for example, one or more of the following: an eye tracker, a galvanic skin response sensor, and/or a force sensor.

System And Method For Controlling Power Consumption In A Computer System Based On User Satisfaction

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US Patent:
20110004575, Jan 6, 2011
Filed:
Jun 9, 2010
Appl. No.:
12/796934
Inventors:
Lei Yang - Sunnydale CA, US
Robert P. Dick - Chelsea MI, US
Xi Chen - San Jose CA, US
Gokhan Memik - Evanston IL, US
Peter A. Dinda - Evanston IL, US
Alex Shye - Evanston IL, US
Berkin Ozisikyilmaz - Chicago IL, US
Arindam Mallik - Leuven, BE
Alok Choudhary - Chicago IL, US
International Classification:
G06F 15/18
G06F 1/32
G06F 1/26
US Classification:
706 12, 713320, 713300
Abstract:
Systems and methods for controlling power consumption in a computer system are disclosed. The computer system may be trained, for example, to determine relationship information between user satisfaction and discrete frequencies at which a processor of the computer system runs. The determined relationship can distinguish between different users and different interactive applications. A frequency may be selected from the discrete frequencies at which the processor of the computer system runs based on the determined relationship information for a particular user and a particular interactive application running on the processor of the computer system. The processor may be adapted to run at the selected frequency.

Selecting Regions Of Hot Code In A Dynamic Binary Rewriter

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US Patent:
20110066829, Mar 17, 2011
Filed:
Sep 14, 2009
Appl. No.:
12/558938
Inventors:
Steven T. Tye - Hopkinton MA, US
Michael Bedy - Merrimack NH, US
Richard L. Ford - Redmond WA, US
Alex Shye - Evanston IL, US
International Classification:
G06F 9/318
US Classification:
712226, 712E09035
Abstract:
An approach to region selection which extends beyond traces and selects super-regions. A super-region (SR) contains arbitrary control flow, such as interprocedural nested loops, that provides a larger scope for transformation (e.g. optimization) than traces. Hardware samples are used to identify SRs that contain the hot code of a client process without requiring any static program information.
Alex Shye from Los Angeles, CA, age ~45 Get Report