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Kassem Fawaz Phones & Addresses

  • 4600 University Ave APT 104, Madison, WI 53705
  • Ann Arbor, MI

Work

Company: University of wisconsin-madison Aug 2017 Position: Assistant professor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: University of Michigan 2011 to 2016 Specialities: Computer Science, Engineering, Computer Science and Engineering, Philosophy

Skills

C++ • Java • Matlab • C • Algorithms • Vhdl • Software Engineering • Python • Signal Processing • Latex • Machine Learning • Simulations • Simulink • Programming • Linux • Research

Languages

Arabic • English

Industries

Higher Education

Resumes

Resumes

Kassem Fawaz Photo 1

Assistant Professor

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Location:
Madison, WI
Industry:
Higher Education
Work:
University of Wisconsin-Madison
Assistant Professor

University of Michigan May 1, 2012 - May 2017
Graduate Student Research Assistant

Hewlett-Packard May 2014 - Aug 2014
Research Associate

Qualcomm May 2013 - Aug 2013
Engineering Intern

Dlr Jul 2008 - Aug 2008
Intern
Education:
University of Michigan 2011 - 2016
Doctorates, Doctor of Philosophy, Computer Science, Engineering, Computer Science and Engineering, Philosophy
American University of Beirut 2009 - 2011
Masters, Computer Engineering, Engineering
American University of Beirut 2005 - 2009
Bachelor of Engineering, Bachelors, Engineering, Communications
Skills:
C++
Java
Matlab
C
Algorithms
Vhdl
Software Engineering
Python
Signal Processing
Latex
Machine Learning
Simulations
Simulink
Programming
Linux
Research
Languages:
Arabic
English

Publications

Us Patents

Methods And Systems Of Dynamically Generating And Using Device-Specific And Device-State-Specific Classifier Models For The Efficient Classification Of Mobile Device Behaviors

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US Patent:
20140187177, Jul 3, 2014
Filed:
Nov 27, 2013
Appl. No.:
14/091707
Inventors:
- San Diego CA, US
Rajarshi Gupta - Sunnyvale CA, US
Kassem Fawaz - Ann Arbor MI, US
Assignee:
QUALCOMM Incorporated - San Diego CA
International Classification:
H04B 17/00
H04W 24/02
US Classification:
455 73
Abstract:
The various aspects provide a mobile device and methods implemented on the mobile device for modifying behavior models to account for device-specific or device-state-specific features. In the various aspects, a behavior analyzer module may leverage a full feature set of behavior models (i.e. a large classifier model) received from a network server to create lean classifier models for use in monitoring for malicious behavior on the mobile device, and the behavior analyzer module may dynamically modify these lean classifier models to include features specific to the mobile device and/or the mobile device's current configuration. Thus, the various aspects may enhance overall security for a particular mobile device by taking the mobile device and its current configuration into account and may improve overall performance by monitoring only features that are relevant to the mobile device.
Kassem M Fawaz from Madison, WI, age ~36 Get Report