BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Central BEGIN:DAYLIGHT DTSTART:20180311T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20180919T224806Z UID:37DC1874-FBDD-4263-9BE5-CE21E5DF0667 DTSTART;TZID=Canada/Central:20180919T113000 DTEND;TZID=Canada/Central:20180919T130000 DESCRIPTION:Health Informatics: Overview\, Approaches\, Challenges\, and Ap plications\n\nSince its emergence in the 1950s and 1960s\, Health Informat ics (HI) has become a hot and challenging interdisciplinary field in all t hree pillars of medical care\, education\, and research. With the advent o f the Internet\, supercomputers\, cloud computing\, smartphones\, and many other technological innovations that have made their way into our everyda y lives\, HI has become an even more complex and multifaceted field and wi ll only continue to grow with future advancements. Therefore\, it will not only attract more health professions\, but will also continue to appeal t o scientists and researchers from a variety of other disciplines to make i tself more enriched\, with the ultimate goal of directly improving people ’s quality of life in an equitable and cost-effective fashion\, as well as to increase health literacy and consumer education.\n\nOn its way to re aching these objectives\, HI is facing many challenges\, including\, but n ot limited to\, storing and linking health data\, converting health data t o information and knowledge for decision support systems\, data privacy an d security\, ethical concerns\, cost of adopting technologies\, lack of kn owledge and education about new technologies and available tools\, and man y more.\n\nIn this talk\, Dr. Samet will briefly go through an overview of HI\, and some of its challenges\, approaches\, and applications\, followe d by a review of his previous and current research in this multidisciplina ry field.\n\nAbout the speaker:\n\nDr. Samet is a faculty member at the Sc hool of Computer Science\, University of Windsor\, and an adjunct professo r at the e-Health Research Unit\, Faculty of Medicine\, Memorial Universit y\, where he was an assistant professor from 2012 to 2017. His research in terests and activities are in privacy-preserving and security aspects of v arious applications\, especially in the health sector\, and health informa tics. Prior to that\, he was a Post-Doctoral Fellow at the e-Health Inform ation Laboratory at the Children Hospital of Eastern Ontario Research Inst itute from 2010 to 2012. During his post-doc fellowship\, he designed and developed several secure protocols for various health applications. He rec eived his Ph.D. in Computer Science from the University of Ottawa in 2010 and his thesis title was "Privacy-Preserving Data Mining"\, in which he pr oposed and designed some protocols on privacy-preserving methods for stand ard data mining and machine learning techniques.\n\nRoom: 3000\, Bldg: CEI \, 401 sunset avenue\, Windsor\, Ontario\, Canada\, N9B 3P4 LOCATION:Room: 3000\, Bldg: CEI\, 401 sunset avenue\, Windsor\, Ontario\, C anada\, N9B 3P4 ORGANIZER:ved@uwindsor.ca SEQUENCE:4 SUMMARY:Health Informatics: Overview\, Approaches\, Challenges\, and Applic ations URL;VALUE=URI:https://events.vtools.ieee.org/m/175492 X-ALT-DESC:Description: <br /><p><strong>Health Informatics: Overview\, App roaches\, Challenges\, and Applications</strong></p>\n<p>Since its emergen ce in the 1950s and 1960s\, Health Informatics (HI) has become a hot and c hallenging interdisciplinary field in all three pillars of medical care\, education\, and research. With the advent of the Internet\, supercomputers \, cloud computing\, smartphones\, and many other technological innovation s that have made their way into our everyday lives\, HI has become an even more complex and multifaceted field and will only continue to grow with f uture advancements. Therefore\, it will not only attract more health profe ssions\, but will also continue to appeal to scientists and researchers fr om a variety of other disciplines to make itself more enriched\, with the ultimate goal of directly improving people&rsquo\;s quality of life in an equitable and cost-effective fashion\, as well as to increase health liter acy and consumer education.</p>\n<p>On its way to reaching these objective s\, HI is facing many challenges\, including\, but not limited to\, storin g and linking health data\, converting health data to information and know ledge for decision support systems\, data privacy and security\, ethical c oncerns\, cost of adopting technologies\, lack of knowledge and education about new technologies and available tools\, and many more.</p>\n<p>In thi s talk\, Dr. Samet will briefly go through an overview of HI\, and some of its challenges\, approaches\, and applications\, followed by a review of his previous and current research in this multidisciplinary field.</p>\n<p ><strong>About the speaker:</strong></p>\n<p>Dr. Samet is a faculty member at the School of Computer Science\, University of Windsor\, and an adjunc t professor at the e-Health Research Unit\, Faculty of Medicine\, Memorial University\, where he was an assistant professor from 2012 to 2017. His r esearch interests and activities are in privacy-preserving and security as pects of various applications\, especially in the health sector\, and heal th informatics.&nbsp\;Prior to that\, he was a Post-Doctoral Fellow at the e-Health Information Laboratory at the Children Hospital of Eastern Ontar io Research Institute from 2010 to 2012. During his post-doc fellowship\, he designed and developed several secure protocols for various health appl ications. He received his Ph.D. in Computer Science from the University of Ottawa in 2010 and his thesis title was "Privacy-Preserving Data Mining"\ , in which he proposed and designed some protocols on privacy-preserving m ethods for standard data mining and machine learning techniques.</p>\n<p>& nbsp\;</p> END:VEVENT END:VCALENDAR