Nathan Wang, Technical Advisor

Dallas, TX

O: 972-646-2649 C: 469-407-7712

A decade of experience as a computer scientist and researcher

Nathan is a computer scientist with experience in machine learning, 5G system design, vehicular networking and optical network system design. He applies a decade of experience developing cutting-edge technology in the U.S. and China, as well as an extensive research background, to provide the firm’s clients with essential technical advice and help attorneys better protect clients’ intellectual property. Nathan’s technical knowledge lies in the fields of patent preparation and prosecution, AI, machine learning, complex software, IT, internet and transportation.

Nathan joined Patterson + Sheridan with a desire to expand his proven technical skills and abilities into the legal field. Throughout his career, he has worked as a software engineer and research scientist, focusing on transportation technologies, particularly autonomous vehicles. Nathan is familiar with artificial intelligence technology, having developed machine learning software to build 3D map services and implement automatic perspective transformations for self-driving cars.

He holds a Ph.D. in Computer Science from the University of Texas at Dallas, as well as two master’s degrees and a bachelor of science in the discipline.

First-hand experience winning patent applications

Nathan offers clients a unique combination of technical knowledge, research skills and first-hand experience securing patents as an inventor. He and his co-inventors have been granted four of nine U.S. patent applications they submitted advancing vehicular automation technology. Nathan is a skilled writer who has been published 31 times for his research, including 24 conference papers and seven journal articles. He prides himself on being able to quickly grasp the complex IP the firm’s clients present him, and offering insights based on his past experiences with the USPTO.

In his free time, Nathan enjoys watching soccer (Go A.C. Milan!) and movies. He is a history buff with an appreciation for Chinese and World history books. Nathan is also fluent in Mandarin.

Education

  • Ph.D., Computer Science, University of Texas at Dallas, 2017
  • M.S., Computer Science, University of Texas at Dallas, 2016
  • M.S., Computer Systems Organization, Jilin University, Changchun, China, 2013
  • B.S., Computer Science, Jilin University, Changchun, China, 2008

Special Honors

  • “Cooperative Autonomous Driving for Traffic Congestion Avoidance," US Patent App. No.15/988151 (issued as US Patent No. 10,636,297).
  • “Fragmentation-aware intelligent autonomous intersection management using a space-time resource model,” US Patent App. No. 16/193,818. (issued as US Patent No. 11,011,056).
  • “Distribution of Computing Resources of a Radio Access Network,” US Patent App. No. 16/154,549. (issued as US Patent No. 10,841,202).
  • “Multiplexing of Resources Blocks within a Communications Network for Dynamic Service Provisioning,” US Patent App. No. 16/939,794. (issued as US Patent No. 11,190,231).
  • “Provisioning Real-time Three-Dimensional Maps for Autonomous Vehicles," US Patent App. No. 16/927,312. (Patent pending).
  • “Automatic Perspective Transformation,” US Patent App. No. 17/339,815. (Patent pending).
  • “Edge-Accelerated Artificial Intelligence for Collaborative Sensing of Physical Intelligent Moving Objects,” US Patent App. No. 16/838,449. (Patent pending).
  • “Digital representations of physical intelligent moving objects,” US Patent App. No. 16/298,578. (Patent pending).
  • “Circuit Migration Sequence Generation for Network Modernization,” US Patent App. No. 17/029,661. (Patent pending).

A decade of experience as a computer scientist and researcher

Nathan is a computer scientist with experience in machine learning, 5G system design, vehicular networking and optical network system design. He applies a decade of experience developing cutting-edge technology in the U.S. and China, as well as an extensive research background, to provide the firm’s clients with essential technical advice and help attorneys better protect clients’ intellectual property. Nathan’s technical knowledge lies in the fields of patent preparation and prosecution, AI, machine learning, complex software, IT, internet and transportation.

Nathan joined Patterson + Sheridan with a desire to expand his proven technical skills and abilities into the legal field. Throughout his career, he has worked as a software engineer and research scientist, focusing on transportation technologies, particularly autonomous vehicles. Nathan is familiar with artificial intelligence technology, having developed machine learning software to build 3D map services and implement automatic perspective transformations for self-driving cars.

He holds a Ph.D. in Computer Science from the University of Texas at Dallas, as well as two master’s degrees and a bachelor of science in the discipline.

First-hand experience winning patent applications

Nathan offers clients a unique combination of technical knowledge, research skills and first-hand experience securing patents as an inventor. He and his co-inventors have been granted four of nine U.S. patent applications they submitted advancing vehicular automation technology. Nathan is a skilled writer who has been published 31 times for his research, including 24 conference papers and seven journal articles. He prides himself on being able to quickly grasp the complex IP the firm’s clients present him, and offering insights based on his past experiences with the USPTO.

In his free time, Nathan enjoys watching soccer (Go A.C. Milan!) and movies. He is a history buff with an appreciation for Chinese and World history books. Nathan is also fluent in Mandarin.

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