講者介紹

蘇木春院長擁有美國馬里蘭大學電機工程博士學位，曾擔任國立中央大學軟體研究中心主任、資訊電機學院副院長、資訊工程系系主任、電子計算機中心主任以及校務研究辦公室主任等多個重要職務。他秉持「科技來自人性，更應出自關懷」的核心信念，積極推動科技輔具之研發。

蘇院長的研究專長包括人工智慧、機器學習、圖樣識別、影像處理、復健科技、機器人、數位學習、擴增實境、人機介面與互動等多個領域。他是國際工程與科技學會(IET)的會士以及電機電子工程師學會(IEEE)的資深會員，曾擔任多個政府機構如：國科會、科技部、教育部、經濟部工業局、技術處、中小企業處等的計劃審查委員，目前擔任教育部「第二期數位學習深耕計畫」總計畫辦公室的協同計畫主持人。

栗永徽博士是鴻海科技集團鴻海研究院人工智慧研究所的創所所長，該研究院是鴻海3+3轉型戰略中最關鍵技術的核心研發中心。他於1995年獲得國立台灣大學學士學位，1998年獲得賓夕法尼亞大學碩士學位，2010年於卡內基美隆大學計算機科學學院獲得博士學位。在加入鴻海之前，他曾任教於國立中央大學資訊工程系。他曾擔任多個國際會議的產業主席(industry chair)、宣傳主席(publicity chair)或技術計劃委員會委員(technical program committee member)。他的研究團隊在自動駕駛領域有極其出色的成果，在全世界自動駕駛大挑戰 Argoverse 1 & 2 贏得世界冠軍的桂冠，成果發表在享譽全球的AI頂級會議 CVPR。他還是日內瓦國際發明展、匹茲堡國際發明展、矽谷國際發明展的多次的金牌銀牌得主。他目前的研究方向包括人工智慧、深度學習、計算機視覺、多媒體、多模態基礎模型、自動駕駛和生物識別技術。

Dr. Yung-Hui Li is the founding director of AI Research Center of Hon Hai Research Institute, which is the core R&D center for the most critical technology of Foxconn's 3+3 transformation strategy. He received his B.S. degree from National Taiwan University in 1995, the M.S. degree from University of Pennsylvania in 1998, and the Ph.D. degree from school of computer science of Carnegie Mellon University in 2010. Before joining Foxconn, he served as tenured faculty in National Central University, Taoyuan, Taiwan. He has been served as industry chair, publicity chair or technical program committee member in various international conference. His research team has achieved outstanding results in the field of autonomous driving. They won the world championship in the global autonomous driving challenge Argoverse 1 & 2. Their achievements were published at the globally renowned top-level AI conference, CVPR. He also has won several gold or silver medals at Geneva International Exhibition of Inventions, Pittsburgh International Invention show (INPEX) and Silicon Valley International Invention Festival (SVIIF). His current research interests include AI, deep learning, computer vision, multimedia, multimodal foundation model, autonomous driving and biometric recognition.

《專題講座一》

人工智慧如何顛覆數位學習？強化翻轉式教育並探索倫理新領域

AI Revolutionizing Digital Learning: Empowering Flipped Education and Navigating Ethical Frontiers

本講座將探討人工智慧（AI）在教育中的應用。首先將解釋AI如何模仿人類學習，並深入討論教育領域生成式AI的市場規模，接著討論AI如何轉變教育，包括個性化學習和提升教學方法，並強調包括個性化學習和提高參與度等益處，以及隱私和公平性等挑戰。講者將提供數位學習中AI的例子，從輔導系統到適應性評估，展示其實際應用。最後，將談及元宇宙在教育中的潛力，並總結強調AI對塑造教育未來的重大影響。

In this talk, I will explore Artificial Intelligence (AI) in education. Firstly, I'll explain how AI mimics human learning. Then, I'll delve into the market size of Generative AI in education. Next, I'll discuss how AI transforms education, personalizing learning and enhancing teaching methods. I'll highlight benefits like personalized learning and improved engagement, as well as challenges such as privacy and equity issues. Providing examples of AI in digital learning, from tutoring systems to adaptive assessments, I'll demonstrate its practical applications. Lastly, I'll touch on the potential of the Metaverse in education. In conclusion, I will emphasize AI's significant impact on shaping the future of education.

花凱龍博士於西元2004年獲得聯發科獎學金前往美國普渡大學攻讀電機資訊博士學位。他已在國際學術會議和期刊上發表逾百篇論文，並擁有十餘項專利，更獲得眾多學術及技術獎項的肯定，包括ACM「多媒體競賽傑出獎」、臺科大「年輕學者研究獎」、「教學傑出獎」、「研究傑出獎」、台灣微軟「卓越運營獎」和中華民國資訊學會「李國鼎磐石獎」等。目前，花博士在微軟擔任首席技術長，負責執行多項數位策略規劃，參與前瞻生成式人工智慧等創新產品的研發和服務落地，致力於強化組織的數位韌性和賦能產業轉型。

Dr. Kai Hua received a MediaTek scholarship in 2004 to pursue his Ph.D. in Electrical and Computer Engineering at Purdue University in the USA. He has authored over a hundred AI-related academic papers published in international conferences and journals, and holds more than ten patents. He has also been honored with numerous academic and technical awards, including Top Performance Award from ACM Multimedia Grand Challenges, Young Scholar Research Award, Teaching Excellence Award, and Research Excellence Award from National Taiwan University of Science and Technology, Operational Excellence Award from Microsoft Taiwan, and K. T. Li Cornerstone Award from the Institute of Information & Computing Machinery. Currently, Dr. Hua serves as the Chief Technology Officer at Microsoft Taiwan, where he is responsible for executing various digital strategic plans, participating in the development and deployment of cutting-edge technologies such as generative AI, and is dedicated to enhancing the digital resilience of the organization and enabling industry transformation.

《專題講座二》

釋放 AI ：改變未來教育

AI Unleashed: Transforming Education for Tomorrow

面對不斷演進的環境，人工智慧與教育的結合有望帶來變革性的轉變。身為台灣微軟的首席技術長，講者深入鑽研生成式AI的關鍵角色、跨產業的創新能力，以及對數位轉型進程的深遠影響。將AI融入教育雖會面臨挑戰，尤其在學習評估方面，卻也開啟了創新和個人化學習體驗的康莊大道。本次演講將探討AI在研究和數位學習的潛能，以及推動教育進步的洞察與發現，同時也將介紹全球趨勢，強調AI驅動的學習之重要性，以培養兼具活力、包容性、以及因應未來的教育生態體系。

In an ever-evolving landscape, the integration of AI in education promises transformative changes. As the CTO of Microsoft Taiwan, I delve into the pivotal role of Generative AI, its capacity to revolutionize innovations across industries, and the profound implications for digital transformation advancement. Introducing AI into education poses challenges, particularly in assessments, yet opens avenues for innovation and personalized learning experiences. In this talk, we'll explore AI's potential in research and digital learning, driving discoveries and insights that propel educational advancements. Additionally, we will introduce global trends, highlighting the imperative of embracing AI-powered learning for fostering a dynamic, inclusive, and future-ready educational ecosystem.

楊鎮華教授1995年畢業於美國伊利諾大學芝加哥校區資訊工程博士，目前擔任國立中央大學資訊工程學系講座教授兼研發長。

楊教授為教育部首任資訊及科技教育司司長，歷任國科會資訊教育學門召集人。

楊教授於2010、2017年兩度榮獲國科會傑出研究奬，研究領域包含人工智慧、機器學習、大數據、學習分析。楊教授至今已發表超過80餘篇SSCI、SCI期刊論文，Google scholar citation超過一萬二千次，h-index為51，並連續多年名列史丹佛大學發布的「全球前2%頂尖科學家榜單」。