`
`
`
`
`Exhibit 2023
`
`Exhibit 2023
`
`
`
`Brayden J. Wong
`
`Professional Summary
`
`v Proficient
`
`in pioneering
`
`telecommunication
`
`technology and
`
`intellectual property development and commercialization
`
`v Advanced expertise in developing innovative products/systems in
`
`the fields of multimedia, data sharing, smart system, network
`
`interconnection, Internet of Thing (ITO), etc.
`
`v Primary Patent Examiner in China Patent Office for six years
`
`examining over six hundred patent applications in the areas of
`
`image/video processing, networking communication, artificial
`
`control, electronic & electrical, etc.
`
`Education
`
`l 2000-2004:
`
` Harbin Institute of Technology (HIT)
`
`
`
` BS in Electronic & Electrical Automation
`
`l 2004-2007:
`
` Tsinghua University
`
`MS in Electronic & Electrical Automation
`
`l 2013-Present: China University of Political Science and Law (CUPL)
`
`Master Degree, Intellectual Property
`
`Page 1 / 12
`
`Updated: Jan. 2018
`
`VIS EXHIBIT 2023
`
`Page 1 of 12
`
`
`
`Brayden J. Wong
`
`Employment History
`
`
`l 2007-2013: State Intellectual Property Office, Beijing China
`
` Primary Examiner & PCT Examiner
`
`l 2014-Present: China Entropy, Beijing China
`
`Technical Consultant
`
`l 2017-Present: Grant Technology LLC, Texas USA
`
`Chief Technology Officer
`
`
`
`Professional Experience
`
`From 2004 to 2007
`Tsinghua University
`Research: Artificial Control
`
`
`Ø Team leader in development of a Multimedia Classroom System
`
`l Video courseware was developed and stored in a server (teacher
`
`side) and used by teachers for class design and management.
`
`l A terminal (student side) application was developed based on a
`
`thin client, used for downloading video courseware from the
`
`server through a wireless local area network (WLAN) by students’
`
`terminals.
`
`l The video courseware was delivered in streaming media to
`
`Page 2 / 12 Updated: Jan. 2018
`
`
`
`
`Page 2 of 12
`
`
`
`Brayden J. Wong
`
`students’ user terminals.
`
`Ø Team leader in development of Multi Robots Smart Decision
`
`Algorithm
`
`l The soccer robot could transmit environment images or videos
`
`to a central algorithm server through wireless communication
`
`channels.
`
`l Environment data was extracted by an algorithm server from the
`
`images and videos including position, speed, and distance with
`
`other soccer robots and goal, etc.
`
`l A decision instruction was generated by the algorithm server
`
`using a smart decision algorithm based on a large number of
`
`prior (known) data-decision pairs.
`
`l The decision instruction was transmitted from the algorithm
`
`server to the soccer robot. A robot’s action was selected from a
`
`set of actions in association with such decision instruction.
`
`Ø Introduced and developed data sharing Technique
`
`l Data from the soccer per se was not enough to optimize
`
`interactions among the soccer robots in the Soccer Robot System.
`
`Data sharing technique was introduced to enhance/optimize
`
`Page 3 / 12 Updated: Jan. 2018
`
`
`
`
`Page 3 of 12
`
`
`
`Brayden J. Wong
`
`interactions among the soccer robots.
`
`l Videos or images were acquired by an algorithm server from
`
`numerous sensors mounted around a soccer field, wherein
`
`sensor environment data was extracted by the algorithm server
`
`including position, speed, and distances with other soccer robots
`
`and goal, etc.
`
`l The robot environment data was also acquired by the algorithm
`
`server from individual soccer robots and combined with the
`
`sensor environment data to general sharing data in a form of
`
`text.
`
`l The sharing data was shared by a plurality of soccer robots as
`
`well as the algorithm server in optimization of interactions
`
`among the soccer robots.
`
`
`
`Page 4 / 12 Updated: Jan. 2018
`
`
`
`
`Page 4 of 12
`
`
`
`Brayden J. Wong
`
`From 2007 to 2013
`State Intellectual Property Office (SIPO)
`Title: Primary Examiner & PCT Examiner
`Re-Examiner
`Ø “A-Class” Examination Quality in 2008, 2009, and 2011
`
`
`
`Ø Excellent Examiner in 2009, 2010, and 2011
`
`Ø Second Prize in “Patent Examination Guideline” Competition
`
`Ø Professional Trainings (Off-Job) by SIPO:
`
`• Patent Law Training, SIPO, Beijing China, five months in 2007
`
`• Patent Law Training, John Marshall Law School, Chicago IL, USA,
`
`one month in 2013
`
`Ø Duties:
`
`• Examined over 600 patent applications
`
`in the
`
`fields of
`
`image/video processing, networking communication, artificial
`
`control, electronic & electrical, and other related technical fields.
`
`• Cited about 3,000 reference documents in evaluation of novelty
`
`and/or inventiveness of the patent applications including Paris
`
`Page 5 / 12 Updated: Jan. 2018
`
`
`
`
`Page 5 of 12
`
`
`
`Brayden J. Wong
`
`Convention, PCT and GCC applications.
`
`• Searched and analyzed over 180,000 prior art documents in
`
`evaluation of novelty and/or
`
`inventiveness of the patent
`
`applications.
`
`• Participated nearly 30 forums regarding Patent Law and/or
`
`Technology Development.
`
`• Advised on how to optimize evaluation and examination of patent
`
`applications in view of persons skilled in the art.
`
`• Advised on how to enhance threshold of patentability and shorten
`
`examination period.
`
`• Advised on detailed specifications for drafting patent application.
`
`• Suggested on how to provide regulations on protection of
`
`technology innovation in telecom industry.
`
`
`
`
`Page 6 / 12 Updated: Jan. 2018
`
`
`
`
`Page 6 of 12
`
`
`
`Brayden J. Wong
`
`From 2014 to Present
`China Entropy
`Title: Technical Consultant
`
`
`
` Provided consulting services on multifaceted solutions tailored to
`
`clients’ needs
`
`l Heterogeneous Multi-Mode networks are deployed to facilitate
`
`fusion of physical devices and linking digital networks to achieve
`
`management of “IOT (Internet of Things)”.
`
`l Service session flow and
`
`information flow - bidirectional
`
`interaction are established and controlled through an intelligent
`
`IWF gateway and telecom network.
`
`l
`
`Intelligently forecast of service through cloud computing
`
`techniques and big data platforms initiatives emergence and
`
` Ø
`
`prosperity of various markets.
`
`A partial list of projects and/or researches includes:
`
`Ø Intelligent transportation systems (ITS)
`
`l With ITS, vehicles use their own intelligences to automatically
`
`drive on roadways. Highways can automatically respond to traffic
`
`Page 7 / 12 Updated: Jan. 2018
`
`
`
`
`Page 7 of 12
`
`
`
`Brayden J. Wong
`
`congestions; and traffic flow can be adjusted.
`
`l
`
`ITS allows road and traffic administrators to monitor various
`
`aspects of traffic (e.g. traffic within congested cities) in real time
`
`with multimedia technologies.
`
`l
`
`ITS improves traffic safety with ITS and traffic flow maximization
`
`with integrated intelligent highway management systems for
`
`tailor-made solutions associated with traffic cameras,
`
`ice
`
`detection on pavement, speed detection, etc.
`
`Ø Smart System of Oil Production
`
`l Advanced wireless Multi-Mode fusion network technique is
`
`applied to each stage of the oil procession for increased
`
`efficiency and output.
`
`l A dedicated Oil Cloud that utilizes Big Data technology achieves
`
`end-to-end traceable, manageable, schedulable, maintainable,
`
`and operable total solution.
`
`l The Oil Cloud and Big Data platforms are designed for achieving
`
`high concurrency and high capacity. With Big Data analytics of
`
`energy & information flow, such system succeeds in predicting
`
`demand, boosting the application of IOT in oil field and exploring
`
`Page 8 / 12 Updated: Jan. 2018
`
`
`
`
`Page 8 of 12
`
`
`
`Brayden J. Wong
`
`the value of data on oil.
`
`Ø Safety and Protection Solutions of Visitors and Cultural Relics
`
`l Based on advanced wireless communication technology and
`
`sensing technology, in combination with LiDAR, such solutions
`
`achieve anti-theft alarms with sound, light, electricity, and total
`
`visual management of cultural relics, real-time information, and
`
`systems for tracking records of movable cultural relics.
`
`l With RFID and other LPWAN technology, such solutions succeed
`
`in establishing “hot areas” and calculating visitor attendance in
`
`real time and timely presenting desired data figures via a large
`
`screen or App configured to safely control visitor flow rate.
`
`Ø End-To-End Intelligent Inter-Connected Solutions
`
`l Such Solutions adopt “Instrumented Network -
`
`Interacted
`
`Network - Intelligent Network” technology roadmap.
`
`l “Instrumented Network” is the cornerstone. IOT technology with
`
`wide range coverage and low-power consumption is provided to
`
`achieve real-time sharing of control information for power
`
`networks.
`
`l “Interacted Network” is the core. Such solutions - with intelligent
`
`Page 9 / 12 Updated: Jan. 2018
`
`
`
`
`Page 9 of 12
`
`
`
`Brayden J. Wong
`
`IWF gateway and telecom network technology - combine
`
`large-scale energy storage with ICT to achieve a power grid with
`
`bidirectional interaction and compatibility.
`
`l “Intelligent Network”
`
`is the goal and developing strategy.
`
`Dedicated Cloud and Big Data platforms are designed with the
`
`idea of high concurrency and high capacity. Big Data analytics of
`
`power generation, transmission, distribution, consumption, and
`
`storage is applied to boost the realization of Energy Internet.
`
`
`
`
`
`
`
`
`
`Page 10 / 12 Updated: Jan. 2018
`
`
`
`
`Page 10 of 12
`
`
`
`Brayden J. Wong
`
`From 2017 to Present
`Grant Technology LLC
`Title: CTO
`
`
`
` Team leader in development of smart home products and IOT
`
` Ø
`
`solutions.
`
`A partial list of projects and/or researches includes:
`
`Ø Fire-Fighting platform
`
`l With converged multi-mode heterogeneous networks, the
`
`platform offers a successful
`
`integrated solution to enable
`
`effective emergency responses including combined fire-fighting
`
`and rescue efforts.
`
`l The platform offers a creative solution for fire-fighting and
`
`rescue teams with Virtual Reality and Augmented Reality
`
`technologies through optimized 3D-model digitization of critical
`
`infrastructures.
`
`l The platform provides
`
`fire-fighting
`
`information to smart
`
`terminals
`
`in real time using networking and multimedia
`
`technologies.
`
`Page 11 / 12 Updated: Jan. 2018
`
`
`
`
`Page 11 of 12
`
`
`
`Brayden J. Wong
`
`Ø Smart Control System
`
`l The smart control system enables users to control smart home
`
`appliances through audio commands and/or commands from
`
`users’ terminals.
`
`l The commands from users are transmitted through wireless
`
`communications and converted into specific instructions.
`
`l A smart hub controls smart home appliances through NFC,
`
`Bluetooth, and ZigBee communications in connection with the
`
`specific instructions.
`
`l The smart home appliances function in accordance with specific
`
`instructions and feedbacks from users.
`
`Page 12 / 12 Updated: Jan. 2018
`
`
`
`
`Page 12 of 12
`
`