Hsien-De Huang (a.k.a. TonTon) received his Ph.D degree in Computer Science and Information Engineering from National Cheng Kung University, Taiwan. His major research interests include Natural Language Processing (NLP), Speech Recognition (ASR), 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,研究興趣包括語音和自然語言處理、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探索與互動開發(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,參與科技部的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艾賽克斯大學;多次協辦台灣與英國和法國交流活動。他曾服務於台灣雪豹科技台灣威瑞特系統安碁資訊國家高速網路與計算中心

不拼命的時候,做研究沒意思;不做研究的時候,那就更沒意思了!
Paul Graham: To do something well you have to like it. | Steve Jobs: The only way to do great work is to love what you do

Career - 十大熱門人才系列報導 - 機器學習專家|Google Scholar| Linkedin|科技抗疫專案: 提高聲紋辨識正確率,更添防疫新利器