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Moderator - 2024 Taiwan AI Academy Conf

VIP / Speakers

高宏宇

高宏宇 / 清華大學 資訊學院教授
HUNG-YU KAO received the B.S. and M.S. degree in Computer Science from National Tsing Hua University in 1994 and 1996 respectively. In July 2003, he received the PhD degree from the Electrical Engineering Department, National Taiwan University. He is currently the Professor of Dept. of CS in National Tsing Hua University. He was the Distinguished Professor of Dept. of CSIE and Vice Dean of College of EECS in National Cheng Kung University (NCKU) from 2021 to 2024. He was the Director of Department of Computer Science and Information Engineering (CSIE) of NCKU from 2018 to 2021. He was the chair of IEEE CIS Tainan Chapter from 2017 to 2021. His research interests include Natural Language Processing, Web information retrieval / extraction, search engine, knowledge management, data mining, social network analysis and bioinformatics. He has published more than 140 research papers in refereed international journals and conference proceedings, including TKDE, TAI, ACL, AAAI, EMNLP, WWW, CIKM. He is a member of IEEE and ACM.
張剛羚

張剛羚 / TAIA Executive Director & CSO

Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.

As derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.

張嘉惠

張嘉惠 / 國立中央大學資訊工程學系 教授

Dr. Chia-Hui Chang is a full Professor at National Central University, Taiwan, specializing in natural language understanding, Web intelligence, and the application of machine learning in law, finance, space, and education. Since 2024, she has served as the convenor of the Intelligent Computing Department at the National Science and Technology Council in Taiwan.

Dr. Chang has published over 140 papers in prestigious conferences and journals, including WWW, PAKDD, TKDE, and Intelligent Systems. She was recognized among Stanford's Top 2% Scientists (Career Impact) for the period from 1960 to 2024.

In addition to her research, Dr. Chang plays an active role in the academic community. She has held key organizational positions for major conferences, serving as Local Chair for AACL 2022 and ACML 2010, General Chair for ROCLING 2021 and TAAI 2020, and Area Co-chair for ACL 2017 and NAACL 2018. She has also been a program committee member for various international conferences, including ICDE, CIKM, PAKDD, AAAI, and ICTIR.

周哲維

周哲維 / Feng Chia University Department of Industrial Engineering and Systems Management, Assistant Professor
Dr. Che-Wei Chou is an assistant professor at the Department of Industrial Engineering and Systems Management at Feng Chia University. He received a Ph.D. degree in Industrial Engineering and Engineering Management from National Tsing Hua University, Taiwan, in 2016. He also received a B.S. degree and M.S. in physics from Industrial Engineering Management from Yuan Ze University, Taiwan, in 2001 and 2003, respectively. He served as the CEO of Artificial Intelligence for Intelligent Manufacturing Systems (AIMS) Research Center, MOST, Taiwan. He is dedicated to coordinating research teams and executing research projects to build on Taiwan's strength in manufacturing to update and transform industries, bridge partnerships between academia and industry for innovation and entrepreneurship, export AI solutions for intelligent manufacturing, and elevate Taiwan's global visibility and influence in AI.
侯宜秀

侯宜秀 / 財團法人台灣人工智慧學校基金會 秘書長

律師,專注於創新科技、開放資料、開放政府等數位治理議題及相關法律規範。2012 年以來持續參與 g0v 公民科技社群,從中習得「揪團打怪」技能:多方協作推動社會創新。

2017 年協助設立台灣人工智慧學校基金會,2021 年起擔任秘書長,推動課程轉型及開源 AI 平台「風火輪計畫」。

2020-2022 年擔任立法院開放國會委員會民間委員,推動完成台灣立法院首份「開放國會行動方案」。近來與台灣公民社群夥伴協作推動「數位公民素養」行動計畫作為台灣新世代社會基礎建設。

莊坤達

莊坤達 / 成功大學 副教授

Dr. Kun-Ta Chuang is currently an Associate Professor in the Department of Computer Science and Information Engineering at National Cheng Kung University (NCKU), Director of the Center for E-Life Digital Technology Research (CREDIT Center), and Deputy Executive Director of the Health Service and Digital Innovation Promotion Office at NCKU. Dr. Chuang has long been dedicated to fostering collaboration between industry and academia, both domestically and internationally, to drive innovation and talent development. His research focuses on data management, artificial intelligence, and blockchain technology, with applications in healthcare, energy services, smart cities, and low-carbon living.

莊坤達博士目前擔任成功大學資工系副教授、成功大學數位生活科技研發中心主任以及成大健康服務暨數位創新推動辦公室副執行長,並在行政院國科會科技辦公室擔任科技政策諮詢專家室領域專家。此外,他也是台南市研考委員以及教育部大專院校數位證書中心計畫的主持人。莊教授長期致力於促進國內外產學研合作,共同推動創新應用與人才培育,並積極促成中央與地方在科技議題上的串聯。他的研究重點涵蓋資料分析、人工智慧技術、區塊鏈技術,並將這些技術應用於健康醫療、能源服務、智慧城市和低碳生活等領域。