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Khaled A Arisha

from Renton, WA
Age ~55
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Also known as:
Khaled Amin Arisha, Kahleo A Arisha, Khaled A Arish, Khaled Arishan
Related to:
Amr A ArishaSoheir M Arisha, 81
Connected to:
Elaine M Arisman, 76Nickson Arisme, 43Carlos E Arismendi, 37Hector Arismendi, 47Ron Arison, 76Ulises ArisonAyca Arisoy, 43Abby ArispeClaudia A Arispe, 36Juanita Arispe, 57

Khaled Arisha Phones & Addresses

  • Renton, WA
  • 8480 Greystone Ln, Columbia, MD 21045 (410) 730-4993
  • 264 169Th St, Bellevue, WA 98008 (425) 747-7159
  • Redmond, WA
  • College Park, MD
  • Kirkland, WA
  • Hyattsville, MD

Resumes

Resumes

Khaled Arisha Photo 1

Windows Software Design Engineer

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Microsoft
Windows Software Design Engineer
Education:
University of Maryland 1995 - 2001
Khaled Arisha Photo 2

Director Data Science

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Location:
Bellevue, WA
Industry:
Computer Software
Work:
Hcl Technologies
Director Data Science
Sirius Computer Solutions 2014 - 2018
Senior Solution Architect and Chief Data Scientist
Microsoft 2005 - 2014
Senior Software Development Engineering Lead and Manager
Honeywell 1998 - 2005
Senior Technical Staff Manager: Research and System Engineering
University of Maryland 1995 - 1998
Academic Researcher
Education:
University of Maryland 2002 - 2004
Master of Business Administration, Masters, Management University of Maryland May 2001
University of Maryland 1995 - 2001
Doctorates, Doctor of Philosophy, Computer Science College Park Dec 1997
University of Maryland 1995 - 1997
Master of Science, Masters, Computer Science Alexandria University 1991 - Jun 1995
Master of Science, Masters, Computer Science Alexandria University 1986 - 1991
Bachelors, Bachelor of Science, Computer Science, Engineering, Computer Science and Engineering
Skills:
Software Development
Software Engineering
Computer Science
Distributed Systems
Agile Methodologies
Data Mining
Databases
C++
Algorithms
Software Design
C#
Cloud Computing
Big Data
Testing
System Architecture
Machine Learning
Object Oriented Design
Visual Studio
.Net
Image Processing
Business Intelligence
Scrum
C
Computer Vision
Perl
Multithreading
Simulations
Win32 Api
Xml
Ooad
Information Retrieval
Management
Data Warehousing
Data Modeling
Windows Azure
Product Management
Rest
Soa
Oop
Statistical Modeling
Network Protocol Design
Hadoop
Agile Project Management
Systems Engineering
Web Analytics
Statistical Data Analysis
Standardization
Wireless Sensor Networks
Artificial Intelligence
Uml
Interests:
Children
Economic Empowerment
Civil Rights and Social Action
Environment
Education
Poverty Alleviation
Science and Technology
Disaster and Humanitarian Relief
Human Rights
Health
Languages:
Arabic
English
Certifications:
Six Sigma Green Belt
Watson Studion - Data Science Experience
Deep Learning Partnership
Spss Modeler
Spss Statistics
Decision Optimization (Cplx/Do)
Sas Technical
Splunk Technical
Khaled Arisha Photo 3

Senior Software Development Engineer At Microsoft

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Location:
Seattle, WA
Industry:
Computer Software
Work:
Microsoft
Senior Software Development Engineer at Microsoft

Publications

Us Patents

Energy Aware Network Management

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US Patent:
20030063585, Apr 3, 2003
Filed:
Jul 30, 2002
Appl. No.:
10/208666
Inventors:
Mohamed Younis - Ellicott City MD, US
Moustafa Youssef - College Park MD, US
Khaled Arisha - Columbia MD, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
H04Q007/00
US Classification:
370/331000
Abstract:
A method of managing a network of sensors in an energy aware manner includes the steps of clustering the sensors to minimize energy consumption, routing the network (step ), modeling the energy available at each sensor (step ), and rerouting the network (step ) when the sensor battery level drops to a predetermined value, or when the energy model is adjusted because it deviates from a sensor's actual energy state.

Performance Management Using Passive Testing

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US Patent:
20040019457, Jan 29, 2004
Filed:
Feb 21, 2003
Appl. No.:
10/369607
Inventors:
Khaled Arisha - Columbia MD, US
International Classification:
G21C017/00
G06F011/30
US Classification:
702/182000
Abstract:
A method of detecting performance flaws in a network using passive testing includes modeling a communicating finite state machine (CFSM) having a plurality of machines, at least some of which are connected to each other via a plurality of channels, wherein each machine is defined as a single node six-tuple FSM along with a time stamp. An observer is placed at selected ones of the plurality of nodes, the observer being able to compute delays, throughput and utilization. The observer observes input/output sequences for the selected nodes and compares those input/output sequences with predetermined expected behaviors. This results in identifying areas of the machine in which discrepancies between the input/output sequences and the expected behaviors occur, and for an area so identified (i) the time stamp and arrival time of a selected input/output sequence is monitored to compute an end-to-end delay of a corresponding input/output pair, (ii) the number of input/output pairs passing through one of the selected nodes is monitored to determine whether the number is above or below a predetermined number per unit of time, and (iii) a utilization factor is determined for a selected channel in the communicating finite state machine.

Deterministic Power-Aware Wireless Network

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US Patent:
20070253352, Nov 1, 2007
Filed:
May 1, 2006
Appl. No.:
11/381021
Inventors:
Khaled Arisha - Bellevue WA, US
Aloke Roy - Gaithersburg MD, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
H04Q 7/00
US Classification:
370328000
Abstract:
A method to manage an application-layer-managed network. The method includes receiving a received signal strength indication at an application layer of an access node from a media access control layer of the access node, determining if the received signal strength indication or an averaged received signal strength indication are within a selected range of received signal strength indication. The method also includes transmitting a power-level-adjustment signal to the media access control layer based on the determination. The power-level-adjustment signal adjusts a transmission power level of at least one of a plurality of network nodes.
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Khaled A Arisha from Renton, WA, age ~55 Get Report