{"670347":{"#nid":"670347","#data":{"type":"event","title":"On-Device AI to Better Mobile and Implantable Devices in Healthcare - Cloned","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Friday, October 13,\u0026nbsp;2023\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;12:30\u0026nbsp;p.m. -\u0026nbsp;1:30 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation: \u003C\/strong\u003E017 Classroom CoC\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u0026nbsp;\u003C\/strong\u003EYiyu Shi\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeakers\u0027 Title:\u003C\/strong\u003E\u0026nbsp;Professor; Site Director of National Science Foundation I\/UCRC Alternative and Sustainable Intelligent Computing; Director of the Sustainable Computing Lab (SCL)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeakers\u0027 Affiliation:\u003C\/strong\u003E\u0026nbsp;Department of Computer Science and Engineering at the University of Notre Dame\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETalk Title:\u0026nbsp;\u003C\/strong\u003EOn-Device AI to Better Mobile and Implantable Devices in Healthcare\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nThe increasing prevalence of chronic diseases, an aging population, and a shortage of healthcare professionals have prompted the widespread adoption of mobile and implantable devices to effectively manage various health conditions. \u0026nbsp;In recent years, there is growing interest to leverage the rapid advances in artificial intelligence (AI) to enhance the performance of these devices, resulting in better patient outcomes, reduced healthcare costs, and improved patient autonomy. Due to privacy, security, and safety considerations, inferences must often be done on the edge, with limited hardware resources. This is compounded by inter-patient and intra-patient variability, heavy dependence on medical domain knowledge, and lack of diversified training data. In this talk, we will demonstrate how techniques such as hardware and neural architecture co-design, personalized meta-learning, and fairness-aware pruning can transform the landscape of mobile and implantable devices. Additionally, we will showcase the world\u0027s first smart Implantable Cardioverter Defibrillator (ICD) design enabled by our research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBiographical Sketch of the Speaker:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nDr. Yiyu Shi is currently a professor in the Department of Computer Science and Engineering at the University of Notre Dame, the site director of National Science Foundation I\/UCRC Alternative and Sustainable Intelligent Computing, and the director of the Sustainable Computing Lab (SCL). He is also a visiting scientist at Boston Children\u2019s Hospital, the primary pediatric program of Harvard Medical School. He received his B.S. in Electronic Engineering from Tsinghua University, Beijing, China in 2005, the M.S and Ph.D. degree in Electrical Engineering from the University of California, Los Angeles in 2007 and 2009 respectively. His current research interests focus on hardware intelligence and biomedical applications. In recognition of his research, more than a dozen of his papers have been nominated for or awarded as the best paper in top journals and conferences, including the 2021 IEEE Transactions on Computer-Aided Design Donald O Pederson Best Paper Award. He is also the recipient of Facebook Research Award, IBM Invention Achievement Award, NSF CAREER Award, IEEE Region 5 Outstanding Individual Achievement Award, IEEE Computer Society Mid-Career Research Achievement Award, among others. He has served on the technical program committee of many international conferences. He is the deputy editor-in-chief of IEEE VLSI CAS Newsletter, and an associate editor of various IEEE and ACM journals. He is an IEEE CEDA distinguished lecturer and an ACM distinguished speaker.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EYiyu Shi, \u003Cspan\u003E\u003Cspan\u003Eprofessor in the\u0026nbsp;\u003C\/span\u003E\u003C\/span\u003EDepartment of Computer Science and Engineering at the University of Notre Dame\u003Cspan\u003E\u003Cspan\u003E,\u003C\/span\u003E\u003C\/span\u003E\u0026nbsp;will deliver the talk, \u0022On-Device AI to Better Mobile and Implantable Devices in Healthcare,\u0022 on Friday, October 13, 2023.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring Professor Yiyu Shi, Department of Computer Science and Engineering at the University of Notre Dame"}],"uid":"36532","created_gmt":"2023-10-11 15:46:13","changed_gmt":"2023-10-11 15:46:13","author":"musry8","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-10-13T12:30:00-04:00","event_time_end":"2023-10-13T13:30:00-04:00","event_time_end_last":"2023-10-13T13:30:00-04:00","gmt_time_start":"2023-10-13 16:30:00","gmt_time_end":"2023-10-13 17:30:00","gmt_time_end_last":"2023-10-13 17:30:00","rrule":null,"timezone":"America\/New_York"},"location":"017 Classroom CoC","extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECong \u201cCallie\u201d Hao\u003Cbr \/\u003E\r\nAssistant Professor\u003Cbr \/\u003E\r\nSchool of Electrical and Computer Engineering\u003Cbr \/\u003E\r\n\u003Ca href=\u0022mailto:callie.hao@ece.gatech.edu\u0022 title=\u0022mailto:callie.hao@ece.gatech.edu\u0022\u003Ecallie.hao@ece.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}