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Young J Suh, 36New York, NY

Known as:
Joo Suh Young Suh J Young Peter Cooney
Related to:
Joe Suh John Suh 39 Joon Suh Yeon Suh 39 Jae K Suh 66

Young Suh Phones & Addresses

New York, NY   

Holden, MA   

West Hartford, CT   

New Haven, CT   

Princeton, MA   

Berlin, MA   

Fitchburg, MA   

Brookline, MA   

Thornwood, NY   

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Mentions for Young J Suh

Career records & work history

Real Estate Brokers

Young Suh Photo 1

Young Suh, Tenafly NJ - Agent

Work:
Friedberg Properties
Tenafly, NJ
267-8795656 (Phone)

Lawyers & Attorneys

Young Suh Photo 2

Young Suh - Lawyer

Specialties:
Intellectual Property
ISLN:
910019055
Admitted:
1996
University:
Occidental College, A.B., 1982; University of Illinois, Urbana-Champaign, Ph.D., 1990
Law School:
DePaul University, J.D., 1995

Medicine Doctors

Young Suh Photo 3

Dr. Young S Suh, Brooklyn NY - MD (Doctor of Medicine)

Specialties:
Addiction Psychiatry
Address:
1480 Prospect Pl, Brooklyn, NY 11213
718-9532302 (Phone)
Languages:
English
Young Suh Photo 4

Young Suh, New York NY

Work:
Smith Communicare Health Ctr
60 Madison Ave, New York, NY 10010

License Records

Young Sook Suh

Licenses:
License #: 1201072000
Category: Cosmetologist License

Publications & IP owners

Us Patents

Predictive Food Logging

US Patent:
2016001, Jan 14, 2016
Filed:
Jul 11, 2014
Appl. No.:
14/329594
Inventors:
- New York NY, US
Betina Evancha - New York NY, US
Gennadiy Shafranovich - Brooklyn NY, US
Yong Woo Kim - Seoul, KR
Ketill Gunnarsson - Trnava, SK
James Connell - Mechanicville NY, US
Young In Suh - Queens NY, US
Christos Avgerinos - Brooklyn NY, US
Bo Yin - Mississauga, CA
Artem Petakov - New York NY, US
Ken Nesmith - New York NY, US
Jesse Sae-ju Jeong - West New York NJ, US
International Classification:
G06N 5/04
G06F 3/0484
Abstract:
A method of predicting food items consumed by a user of a food-logging application is disclosed. Loggings of consumptions of food items are received. A predictive model is generated based on the received loggings. The predictive model generates a prediction of one or more additional food items that a target user will consume or is likely to have consumed (e.g., at a particular time). The prediction is generated based on an application of the predictive model to one or more data items (e.g., data items streaming into the system in real time from the target user or other users that are relevant to food consumptions by the target user). The prediction of the consumption of the one or more additional food items by the user may then be communicated for presentation to the target user in a user interface.

Possible Relatives

Cynthia Y Suh  David M Suh  Dae H Suh  Daniel H Suh  Deena J Suh  Denney E Suh  Don Suh  Young A Johnson  Young M Jung  Young E Kerr 

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