Hsien-De Huang (a.k.a. TonTon) has gained a lot of experience in speech processing, natural language processing, computer vision, cyber-security, blockchain vulnerability analysis (smart contract), malware behavioral analysis, type-2 fuzzy logic, and ontology application over ten years. At the same time, he completed his Ph.D. working in Computer Science and Information Engineering from National Cheng Kung University, Taiwan. Also, he has presented his research at AI Village@Defcon, RuxCon, OWASP AppSec USA and HITCON and as the sponsor of Deep Learning 101 & Taiwan AI Group. He was also a visiting scholar in the NSC-INRIA International Program at Inria, France and Initiative Research Cooperation among Top Universities between the UK & Taiwan.

黃 獻 德 (痛痛)從事網路威脅分析及圖像識別、自然語言處理、語音處理、區塊鏈威脅(智能合約漏洞)偵測及推薦系統等技術開發暨團隊需求定義管理與產品化落地整合等資訊安全、人工智慧相關工作逾十年,並在職進修於國立成功大學資訊工程學系取得博士學位(論文:基於深度學習的網路威脅異常分析),除了將相關成果與論文於國際會議如美國AI Village@Defcon、OWASP AppSec USA、澳洲 RuxCon和台灣駭客年會(HITCON)等發表並申請專利,同時亦多次受邀至海內外大學或國安單位演講;另為積極促進台灣人工智慧技術交流與分享,自2016年發起 Deep Learning 101 Meetup及臺灣人工智慧社團。他過去陸續服務於台灣雪豹科技、以色列商台灣威瑞特系統、安碁資訊及國家高速網路與計算中心。攻讀博士班時,參與科技部台法聯合團隊交流計畫至法國國家信息與自動化研究所及台灣與英國頂尖大學合作研究計畫至艾賽克斯大學;與英法研究單位長期交流。