• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. L
  4. Lam…
  5. LAM Brian
🔗 Permalink
Inventor profile of:

Brian LAM

City:

Sunnyvale, California

Country:

United States

Published Applications:

6

Last publication date:

2013-01-03

Recent patent applications by LAM Brian

Brian LAM from Sunnyvale, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2013-01-03
US20130006799A1
Electricity

SYSTEMS, APPARATUS AND METHOD FOR HOSTING AND ASSIGNING DOMAIN NAMES ON A WIDE AREA NETWORK

#2 | 2012-10-25
US20120271919A1
Electricity

SYSTEMS, APPARATUS AND METHOD FOR HOSTING AND ASSIGNING DOMAIN NAMES ON A WIDE NETWORK

#3 | 2012-10-25
US20120271918A1
Electricity

SYSTEMS, APPARATUS AND METHOD FOR HOSTING AND ASSIGNING DOMAIN NAMES ON A WIDE AREA NETWORK

#4 | 2012-10-11
US20120259999A1
Electricity

Systems, Apparatus and Method for Hosting and Assigning Domain Names on a Wide Area Network

#5 | 2011-10-13
US20110252159A1
Electricity

Systems, Apparatus and Method For Hosting and Assigning Domain Names On A Wide Network

#6 | 2009-12-24
US20090319690A1
Electricity

Method and system for redirecting a request to a server-selected domain

InventorID:

16762 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lam…
  5. LAM Brian

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.