陽明交通大學生物醫學資訊研究所-洪哲倫教授演講【Application of AI and IoT in Healthcare】

  • 2022-11-22
  • kyle
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【資電學院演講公告】

  • 講題Title         :  Application of AI and IoT in Healthcare

  • 講者Speaker  :  陽明交通大學生物醫學資訊研究所 洪哲倫 教授

  • 日期Date        :  111年11月24日(四)

  • 時間Time       :  13:30PM-15:00PM

  • 地點Venue     :  I221教室、Teams視訊研習(請按一下這裡以加入會議)

       **教師全程參與者,將核予教師研習時數

【講者簡介】

  • 2019-2014年 陸續擔任IEEE國際會議的Program Member

  • 2019-2014年 在固定與IEEE會議共同舉辦International Workshop on Embedded Multi-Core computing and Applications,擔任workshop chair

  • 2017年 擔任International Conference on Smart Data (SmartData-2017)的Program Chair

    Abstract:
    In the smart healthcare, AIoT can help doctors make correct diagnosis and treatment and caregivers provide proper care in healthcare facilities such as smart hospitals and clinics based on a variety of monitoring abilities from sensors or devices. Meanwhile, AIoT can help patients easily stay healthy, reduce healthcare costs, and receive good treatment. Furthermore, AIoT is able to reduce the risk of labor shortages in healthcare environments by using AI technologies facilitating decision making process and strengthening vital sign monitoring capabilities. 

    Bio:
    Che-Lun Hung is a Professor in Institute of Biomedical Informatics at National Yang Ming Chiao Tung University, Taiwan. He received his PhD in Computer Science from National Tsing Hua University in 2010. In 2010, he joined the Department of Computer Science and Communication Engineering in Providence University as an Assistant Professor. He became Associate Professor and Full Professor in Providence University in 2013 and 2016, respectively. Then, he joined the Department of Computer Science and Information Engineering in Chang Gung University as a Full Professor in 2018. After that, he joined the Institute of Biomedical Informatics in National Yang Ming Chiao Tung University as a Full Professor in 2020. His research interests are in the areas of high performance computing, deep learning, smart medicine, proteomics, genomics, systems biology, next-generation sequencing, and computational chemistry.