Office:  Tel: 03-574-2651 E-mail: trappey@ie.nthu.edu.tw Website: http://eb.ie.nthu.edu.tw Distinguished Professor, Department of Industrial Engineering and Engineering Management ASME, ISEAM, CIIE Fellow

AI Research and Outline:

The main research is to apply artificial intelligence and machine learning to intellectual property documents (patents, trademarks), infringement precedents, dynamic intelligent analysis of digital content. This research can provide decision support with R&D and technology strategy exploration, intellectual property layout, intellectual property protection, and infringement defense.

AI Research Papers (Please see http://eb.ie.nthu.edu.tw/):

• Trappey, A.J.C.*, Trappey, C.V., Lee, K.L.C., 2017, “Tracing the evolution of biomedical 3D printing technology using ontology based patent concept analysis,” Technology Analysis & Strategic Management, Vol 29, No. 4, pp 339-352 (SSCI).

• Trappey, A.J.C.*, Trappey, C.V., Chung, L.S., 2017, “IP portfolios and evolution of biomedical additive manufacturing applications,” Scientometrics, Vol 111, No. 1, pp 139-157 (SCI).

• Trappey, C.V., Trappey, A.J.C.*, Chen, L.W.L., 2017, “Computer-supported portfolio analysis and comparison using ontology-based patent classification mapping scheme: the case of mobile communication patent pools,” Cluster Computing, Vol. 20, pp. 1661-1677 (SCI, https://link.springer.com/article/10.1007/s10586-016-0722-2).

• Trappey, C.V., Trappey, A.J.C.*, 2017, “Exploring 4G patent and litigation informatics in the mobile telecommunications industry” World Patent Information, Vol 50, pp 38-51.

• Trappey, A.J.C.*, Trappey, C.V., Govindarajan, U.H., Chuang, A.C., Sun, J.J., 2017, “A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0,” Advanced Engineering Informatics, Vol 33, pp 208-229 (SCI).