Hsien-De Huang (a.k.a. TonTon) received his Ph.D degree in Computer Science and Information Engineering from National Cheng Kung University, Taiwan. He is currently an AI/Security Technology Expert & Lead. His major research interests include Deep Learning, NLP, Speech, Malware Analysis, Type-2 Fuzzy Logic, and Ontology Applications (TWMAN, R2-D2, C-3PO). He has gave several presentations at AI Village@Defcon 26, RuxCon 2017, OWASP AppSec USA 2017 and HITCON 2015 & 2014, and a sponsor of Deep Learning 101 Meetup. He received M.S. degree in Information and Learning Technology from NUTN, Taiwan. He also was a visiting Ph. D. student in the research project 2012 NSC-INRIA International Program at INRIA (with advisor Dr. Olivier Teytaud), France and research project 2010 Initiative Research Cooperation among Top Universities between UK and Taiwan (with advisor Prof. Hani Hagras).

黃獻德(痛痛)於國立成功大學資訊工程學系取得博士學位,現從事包括自然語言處理、語音處理、深度學習 、惡意程式分析、第二型模糊邏輯及知識本體與應用等相關研究應用與開發(TWMAN, R2-D2, C-3PO),並在AI Village@Defcon 26, RuxCon 2017, OWASP AppSec USA 2017 and HITCON 2015 & 2014等國際研討會發表其技術研究成果;同時也發起 Deep Learning 101 Meetup。攻讀博士班時,參與2012台法(NSC-INRIA)聯合團隊交流計畫至法國國家信息與自動化研究所及2010 台灣與英國頂尖大學合作研究計畫至英國艾賽克斯大學;並多次協辦台灣與英國和法國等國際交流活動。他曾於服務台灣威瑞特系統安碁資訊國家高速網路與計算中心

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