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Daniel J Hakim, Age 482312 Sugarcone Rd, Baltimore, MD 21209

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Known as:
Dan Hakim
Related to:
Elizabeth C Estremo 70 Frances C Fox 76

Daniel Hakim Phones & Addresses

2312 Sugarcone Rd, Pikesville, MD 21209 (410) 602-1784

Baltimore, MD

3291 1St St, Oceanside, NY 11572 (516) 766-5861 (516) 766-6276

Merrick, NY

Port Jefferson Station, NY

Mentions for Daniel J Hakim

Daniel Hakim resumes & CV records

Resumes

Daniel Hakim Photo 44

Vice President, Laserwave

Location:
Greater New York City Area
Industry:
Printing
Daniel Hakim Photo 45

Daniel Hakim

Location:
Greater New York City Area
Industry:
Internet
Daniel Hakim Photo 46

Director, Business Solutions (Pre-Sales) - Paladyne Systems | Hedge Fund Order Management & Portfolio Management Systems

Position:
Director, Business Solutions at Paladyne Systems, Inc.
Location:
Greater New York City Area
Industry:
Financial Services
Work:
Paladyne Systems, Inc. since Apr 2011
Director, Business Solutions Tradar Aug 2009 - Apr 2010
Sales Executive Tradar Aug 2008 - Aug 2009
Implementation/Key Account Manager Tradar Jun 2007 - Jul 2008
Business Analyst My ComputerER Nov 2005 - Jun 2007
Small Business Owner Infinity Software Development Aug 2004 - Nov 2005
Business Process Analyst
Education:
Florida State University 2000 - 2004
BS, Economics Florida State University - College of Business 2000 - 2004
BS, Management Information Systems
Skills:
Needs Analysis, Software Implementation, Sales Process, iPhone, Account Management, Customer Relations, Key Account Management
Interests:
New Technology, Professional Sports, Social Networking
Daniel Hakim Photo 47

Daniel Hakim

Publications & IP owners

Us Patents

Wi-Fi Enhanced Tracking Algorithms

US Patent:
2013033, Dec 12, 2013
Filed:
Jun 12, 2013
Appl. No.:
13/916390
Inventors:
Daniel Hakim - Silver Spring MD, US
Carole Teolis - Glenn Dale MD, US
International Classification:
H04W 64/00
US Classification:
4554561
Abstract:
Disclosed herein is the use of Wi-Fi based location estimates of a mobile device to provide global offset corrections (including automated initialization) and enhanced navigation accuracy through delivery of heading corrections. In an embodiment, dead reckoning tracking data may be received for a tracked subject. The tracking data includes a plurality of tracking points forming a tracking path of the tracked subject. A Wi-Fi position system location estimate is also obtained. The Wi-Fi position system location estimate is one of a plurality of Wi-Fi position system location estimates correlated to the dead reckoning tracking data. And a tracking related parameter is determined based on the correlation of the dead reckoning tracking data to the Wi-Fi position system location estimate.

Methods For Generating And Updating Building Models

US Patent:
2020037, Nov 26, 2020
Filed:
Aug 10, 2020
Appl. No.:
16/989212
Inventors:
- Greenbelt MD, US
Daniel Hakim - Silver Spring MD, US
Daniel Franchy - Catonsville MD, US
Jared Napora - Severn MD, US
John Karvounis - Bowie MD, US
Jonathan Fetter Degges - Washington DC, US
Tim Wang - Germantown MD, US
Benjamin Funk - Hanover MD, US
Carole Teolis - Glendale MD, US
Carol Politi - Bethesda MD, US
Stuart Woodbury - Ellicott City MD, US
International Classification:
G06T 17/05
G06F 30/13
Abstract:
Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Validating And Updating Building Models With Path Data

US Patent:
2020037, Nov 26, 2020
Filed:
Aug 10, 2020
Appl. No.:
16/989287
Inventors:
- Greenbelt MD, US
Daniel Hakim - Silver Spring MD, US
Daniel Franchy - Catonsville MD, US
Jared Napora - Severn MD, US
John Karvounis - Bowie MD, US
Jonathan Fetter Degges - Washington DC, US
Tim Wang - Germantown MD, US
Benjamin Funk - Hanover MD, US
Carole Teolis - Glendale MD, US
Carol Politi - Bethesda MD, US
Stuart Woodbury - Ellicott City MD, US
International Classification:
G06T 17/05
G06F 30/13
Abstract:
Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Methods For Resolving A Location Of Tracked Personnel Or Assets Based On Elevation Or Terrain Constraints

US Patent:
2020014, May 7, 2020
Filed:
Aug 28, 2019
Appl. No.:
16/554456
Inventors:
- Greenbelt MD, US
Jared NAPORA - Severn MD, US
Benjamin E. FUNK - Hanover MD, US
Daniel HAKIM - Silver Spring MD, US
Christopher GILES - Elkton MD, US
Carole TEOLIS - Glenn Dale MD, US
International Classification:
G01C 5/06
G01C 5/00
G01C 21/20
Abstract:
Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Methods Resolving A Location Of Tracked Personnel Or Assets Based On Elevation

US Patent:
2019039, Dec 26, 2019
Filed:
Aug 29, 2019
Appl. No.:
16/555731
Inventors:
- Greenbelt MD, US
Jared NAPORA - Severn MD, US
Benjamin E. FUNK - Hanover MD, US
Daniel HAKIM - Silver Spring MD, US
Christopher GILES - Elkton MD, US
Carole TEOLIS - Glenn Dale MD, US
International Classification:
G01C 5/06
G01C 21/20
G01C 5/00
Abstract:
Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Methods For Resolving A Location Of Tracked Personnel Or Assets And Refining Path Data

US Patent:
2019038, Dec 19, 2019
Filed:
Aug 29, 2019
Appl. No.:
16/555671
Inventors:
- Greenbelt MD, US
Jared NAPORA - Severn MD, US
Benjamin E. FUNK - Hanover MD, US
Daniel HAKIM - Silver Spring MD, US
Christopher GILES - Elkton MD, US
Carole TEOLIS - Glenn Dale MD, US
International Classification:
G01C 5/06
G01C 21/20
G01C 5/00
Abstract:
Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Mapping Complex Building Models

US Patent:
2019037, Dec 5, 2019
Filed:
May 31, 2019
Appl. No.:
16/428519
Inventors:
- Greenbelt MD, US
Daniel Hakim - Silver Spring MD, US
Daniel Franchy - Catonsville MD, US
Jared Napora - Severn MD, US
John Karvounis - Bowie MD, US
Jon Fetter Degges - Washington DC, US
Tim Wang - Germantown MD, US
Benjamin Funk - Hanover MD, US
Carole Teolis - Glendale MD, US
Carol Politi - Bethesda MD, US
Stuart Woodbury - Ellicott City MD, US
International Classification:
G06T 17/05
G06F 17/50
Abstract:
Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Possible Relatives

Dawoud M Hakim  Donna G Hakim  Elias J Hakim  Abdul Hakim  Emil Hakim  Farshad Hakim  Frank J Hakim  Daniel G Last  Daniel J Johnson  Daniel W Stamps 

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