Bace Tseng is the Vice President of WISPRO Group and the firm’s lead patent consultant. His expertise focuses onsemiconductors, MEMS, nanotechnologies, medical devices, displays, touch panels, and wireless power transmission.
Mr. Tseng specializes in Intellectual property (IP) management and optimization, patent life cycle management(PLCM), IP due diligence, and patent risk analysis. He has extensive experience in assisting multinational companies throughout Asia with patent risk analysis and the design-around process in connection with infringement litigation defense. He has managed numerous high-profile invalidity litigations in the U.S. and Germany by providing prior art and claim construction analysis.
Prior to joining the firm, Mr. Tseng served as an engineer for the Industrial Technology Research Institute of Taiwan (ITRI) and National Chung-Shan Institute of Science and Technology.
Mr. Tseng holds a Master degree in Engineering and Systems Science from National Tsing Hua University.
Intellectual property (IP) management and optimization, patent life cycle management(PLCM), IP due diligence, patent risk analysis and response, patent invalidation analysis, IP deployment planning, patent landscape search. Patent infringement analysis and design-arounds against both practicing and non-practicing entities. Fields include semiconductor, MEMS, nanotechnologies, medical devices, displays, touch panels, wireless power transmission, robotics, and electric vehicles.
Advanced Driver-Assistance System (ADAS)
Performing sensor fusion with image sensor and at least one other type of sensors (radar, Lidar, IR sensor, etc.). Using software to analyze the signals from the result of sensor fusion to determine the next action.
Artificial Intelligence Based Image Recognition For Vehicles
Infuse vehicles with artificial intelligence, empowering vehicles to recognize driving environment and determine appropriate actions under driverless condition. From training to application, it provides the necessary computing power, data, and algorithms for computer vision to achieve accurate recognition of driving environment.
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