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DTSTAMP:20250522T191358Z
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DTSTART;TZID=America/New_York:20250515T140000
DTEND;TZID=America/New_York:20250515T154500
DESCRIPTION:IEEE Technical Talk (In-person)\n\nThe EMB/RA/CS Societies Join
 t Chapter of IEEE Kingston Section\, Queen&#39;s Department of Electrical and 
 Computer Engineering and Ingenuity Labs Research Institute are proud to pr
 esent the DSS talk\n\nSPEAKER:\nDr. Babak Taati\nBarbara G. Stymiest Chair
  in Rehabilitation Technology Research\nToronto Rehab Institute\n\nTIME &amp; 
 VENUE:\nTalk:\n2:00-3:00 pm\, Thursday May 15\, 2025\nSchool of Kinesiolog
 y and Health Studies (KINE-100)\nRoom 100\, 28 Division St.\, Kingston\nQu
 een&#39;s University\n\nMeet &amp; Greet: Refreshments will be provided\n3:00-3:45
  pm Thursday May 15\, 2025 (short walking distance after the talk)\nIngenu
 ity Labs Research Institute\nRoom 395\, 69 Union St.\, Kingston\nQueen&#39;s U
 niversity\n\nABSTRACT:\nAs the global population grows older\, technology 
 is becoming increasingly important in supporting the health and well-being
  of older adults\, especially those with physical or cognitive challenges.
  This talk focuses on computer vision systems that help improve care\, suc
 h as detecting pain and assessing mobility. One major challenge in develop
 ing these systems is the lack of enough clinical image/video data\, which 
 can be expensive and difficult to collect and label. To address this issue
 \, we present a generative AI method for creating synthetic pathological d
 ata\, which helps expand real datasets and improve the accuracy and reliab
 ility of these models.\n\nBIOGRAPHY:\nDr. Babak Taati is a Senior Scientis
 t at KITE\, the research arm of the Toronto Rehabilitation Institute - Uni
 versity Health Network (UHN)\, where he also serves as the lead the Kite A
 ging Team. He holds the Barbara G. Stymiest Chair in Rehabilitation Techno
 logy Research at TRI-UHN and holds an Associate Professor appointment (sta
 tus-only) at the University of Toronto in the Department of Computer Scien
 ce\, the Institute of Biomedical Engineering\, and the Rehabilitation Scie
 nces Institute. Additionally\, he is a Faculty Affiliate at the Vector Ins
 titute for Artificial Intelligence. Dr. Taati completed his BSc\, MASc\, a
 nd PhD at Sharif University of Technology\, Simon Fraser University\, and 
 Queen&#39;s University\, respectively. His research focuses on applying comput
 er vision and machine learning to develop intelligent health monitoring an
 d rehabilitation technologies.\n\nCO-HOSTS:\nDr. Michael Greenspan greensp
 an.michael@queensu.ca\nDr. Nasim Montazeri nasim.montazeri@queensu.ca\nDr.
  Keyvan Hashtrudi-Zaad khz@queensu.ca\n\nQueen&#39;s University\, Kingston\, O
 ntario\, Canada
LOCATION:Queen&#39;s University\, Kingston\, Ontario\, Canada
ORGANIZER:kleber.cabral@ieee.org
SEQUENCE:17
SUMMARY:Improving Care for Older Adults: Using Computer Vision and Generati
 ve AI for Data Augmentation - Tech Talk and Meet &amp; Greet
URL;VALUE=URI:https://events.vtools.ieee.org/m/483367
X-ALT-DESC:Description: &lt;br /&gt;&lt;div align=&quot;center&quot; data-ogsc=&quot;rgb(12\, 100\,
  192)&quot;&gt;&lt;strong data-ogsc=&quot;&quot; data-olk-copy-source=&quot;MessageBody&quot;&gt;IEEE Techni
 cal Talk (In-person)&lt;/strong&gt;&lt;/div&gt;\n&lt;div aria-hidden=&quot;true&quot; data-ogsc=&quot;bl
 ack&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;The EMB/RA/CS Societies Joint C
 hapter of IEEE Kingston Section\, Queen&#39;s Department of Electrical and Com
 puter Engineering and Ingenuity Labs Research Institute are proud to prese
 nt the DSS talk&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div data-ogs
 c=&quot;rgb(12\, 100\, 192)&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;SPEAKER:&lt;/strong&gt;&lt;/div&gt;\n&lt;div
  data-ogsc=&quot;black&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;Dr. Babak Taati&lt;/strong&gt;&lt;/div&gt;\n&lt;d
 iv data-ogsc=&quot;black&quot;&gt;Barbara G. Stymiest Chair in Rehabilitation Technolog
 y Research&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;Toronto Rehab Institute&lt;/div&gt;\n&lt;d
 iv data-ogsc=&quot;black&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div data-ogsc=&quot;rgb(12\, 100\, 192)&quot;&gt;&lt;
 strong data-ogsc=&quot;&quot;&gt;TIME &amp;amp\; VENUE:&lt;/strong&gt;&lt;/div&gt;\n&lt;div data-ogsc=&quot;bla
 ck&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;Talk:&amp;nbsp\;&lt;/strong&gt;&lt;/div&gt;\n&lt;div data-ogsc=&quot;blac
 k&quot;&gt;2:00-3:00 pm\, Thursday May 15\, 2025&amp;nbsp\;&lt;/div&gt;\n&lt;div data-ogsc=&quot;bla
 ck&quot;&gt;School of Kinesiology and Health Studies (KINE-100)&lt;/div&gt;\n&lt;div data-o
 gsc=&quot;black&quot;&gt;Room 100\, 28 Division St.\, Kingston&lt;/div&gt;\n&lt;div data-ogsc=&quot;b
 lack&quot;&gt;Queen&#39;s University&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div
  data-ogsc=&quot;black&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;Meet &amp;amp\; Greet:&amp;nbsp\;&lt;/strong&gt;
 &lt;span data-ogsc=&quot;rgb(222\, 106\, 25)&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;Refreshments wi
 ll be provided&lt;/strong&gt;&lt;/span&gt;&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;3:00-3:45 pm 
 Thursday May 15\, 2025 (short walking distance after the talk)&lt;/div&gt;\n&lt;div
  data-ogsc=&quot;black&quot;&gt;Ingenuity Labs Research Institute&lt;/div&gt;\n&lt;div data-ogsc
 =&quot;black&quot;&gt;Room 395\, 69 Union St.\, Kingston&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;
 Queen&#39;s University&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div data-
 ogsc=&quot;rgb(12\, 100\, 192)&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;ABSTRACT:&amp;nbsp\;&lt;/strong&gt;&lt;
 /div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;As the global population grows older\, techn
 ology is becoming increasingly important in supporting the health and well
 -being of older adults\, especially those with physical or cognitive chall
 enges. This talk focuses on computer vision systems that help improve care
 \, such as detecting pain and assessing mobility. One major challenge in d
 eveloping these systems is the lack of enough clinical image/video data\, 
 which can be expensive and difficult to collect and label. To address this
  issue\, we present a generative AI method for creating synthetic patholog
 ical data\, which helps expand real datasets and improve the accuracy and 
 reliability of these models.&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;&lt;br&gt;&lt;span data-
 ogsc=&quot;rgb(12\, 100\, 192)&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;BIOGRAPHY:&lt;/strong&gt;&lt;/span&gt;
 &lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;Dr. Babak Taati is a Senior Scientist at KI
 TE\, the research arm of the Toronto Rehabilitation Institute -&amp;nbsp\;Univ
 ersity Health Network (UHN)\, where he also serves as the lead&amp;nbsp\;the K
 ite Aging Team. He holds the Barbara G. Stymiest Chair in Rehabilitation T
 echnology Research&amp;nbsp\;at TRI-UHN and holds an Associate Professor appoi
 ntment (status-only) at the University of Toronto in the Department of Com
 puter Science\, the Institute of Biomedical Engineering\, and the Rehabili
 tation Sciences Institute. Additionally\, he is a Faculty Affiliate at the
  Vector Institute for Artificial Intelligence. Dr. Taati completed his BSc
 \, MASc\, and PhD at Sharif University of Technology\, Simon Fraser Univer
 sity\, and Queen&#39;s University\, respectively. His research focuses on appl
 ying computer vision and machine learning to develop intelligent health mo
 nitoring and rehabilitation technologies.&lt;/div&gt;\n&lt;div data-ogsc=&quot;black&quot;&gt;&lt;s
 trong data-ogsc=&quot;&quot;&gt;&amp;nbsp\;&lt;/strong&gt;&lt;/div&gt;\n&lt;div data-ogsc=&quot;rgb(12\, 100\, 
 192)&quot;&gt;&lt;strong data-ogsc=&quot;&quot;&gt;CO-HOSTS:&lt;/strong&gt;&lt;/div&gt;\n&lt;div data-ogsc=&quot;black
 &quot;&gt;Dr. Michael Greenspan&amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nb
 sp\; &amp;nbsp\; &amp;nbsp\;greenspan.michael@queensu.ca&lt;/div&gt;\n&lt;div data-ogsc=&quot;bl
 ack&quot;&gt;Dr. Nasim Montazeri&amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;n
 bsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\;nasim.montazeri@queensu.ca&lt;/div&gt;\n&lt;di
 v data-ogsc=&quot;black&quot;&gt;Dr. Keyvan Hashtrudi-Zaad&amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp
 \; &amp;nbsp\; &amp;nbsp\;khz@queensu.ca&amp;nbsp\;&lt;/div&gt;
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