BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251102T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260124T050420Z
UID:6AC7C624-30C7-489F-BB8C-7B29EACABEB8
DTSTART;TZID=America/Los_Angeles:20250428T170000
DTEND;TZID=America/Los_Angeles:20250428T183000
DESCRIPTION:Panel Discussion\n\nSpeakers:\n\nShaolei Ren is an Associate Pr
 ofessor of Electrical and Computer Engineering at the\n\nUniversity of Cal
 ifornia\, Riverside. His research broadly focuses on AI\, energy\, and pub
 lic\n\nhealth. His work has generated broader societal impacts\, shaping A
 I policies adopted by\n\ninternational organizations such as the United Na
 tions\, UNESCO\, and WHO. Additionally\,\n\nhis research has driven indust
 ry innovations\, including the development of the first real-\n\ntime wate
 r footprint reporting tool for computing. He is a recipient of the NSF CAR
 EER\n\nAward (2015) and several paper awards\, including at ACM e-Energy (
 2024\, 2016) and IEEE\n\nICC (2016). He received his Ph.D. from the Univer
 sity of California\, Los Angeles.\n---------------------------------------
 ------------------------\n\nDr. Sharon Hsiao is Assistant Professor &amp; Davi
 d Packard endowed junior fellow in the\n\nDepartment of Computer Science &amp;
  Engineering at Santa Clara University. Prior to\n\nSCU\, Dr. Hsiao was an
  assistant professor at Arizona State University and Columbia\n\nUniversit
 y\, where she established several research projects and taught graduate &amp;\
 n\nundergraduate level courses. Dr. Hsiao’s research focuses on educatio
 nal\n\ntechnologies\, computational modeling\, visual analytics\, and adap
 tive technology for\n\npersonalized learning. Her research methodology inv
 olves AI and HCI approaches\,\n\napplied data science and machine learning
  techniques in researching effective\n\ntechnology to help people learn. D
 r. Hsiao actively involves in several international research communities\,
 \n\nincluding Educational Data Mining (EDM)\, Learning Analytics &amp; Knowled
 ge (LAK)\, Artificial Intelligence in\n\nEducation (AIED)\, and European C
 onference on Technology Enhanced Learning (EC-TEL). She serves as the\n\nP
 rogram Chair of 14th International Conference on Educational Data Mining\,
  Organizing Chair of the 9th of\n\nInternational Conference on Learning An
 alytics &amp; Knowledge\, and several other leadership and editing\n\nposition
 s. https://webpages.scu.edu/ftp/ihsiao/\n---------------------------------
 ------------------------------\n\nIrina Raicu directs the Internet Ethics 
 program at the Markkula Center for Applied\n\nEthics. She is a certified i
 nformation privacy professional\, and her work addresses a\n\nwide variety
  of topics—from online privacy to social media’s impact on society\,\n
 \nfrom the digital divide to the ethics of encryption\, and the many ethic
 al issues\n\nassociated with artificial intelligence. Raicu was a member o
 f the Partnership on\n\nAI&#39;s first working group on Fair\, Transparent\, a
 nd Accountable AI\, and she served as\n\na member of the initial cohort of
  the city of San Jose’s privacy advisory task force.\n\nTogether with ot
 her center staff\, Raicu has worked with multiple companies in the process
  of developing\n\ntheir responsible tech/responsible AI policies and proce
 sses. Her writing has appeared in publications\n\nincluding The Atlantic\,
  U.S.A. Today\, Forbes\, MarketWatch\, Slate\, the San Francisco Chronicle
 \, and she is the\n\nprimary contributor to the blog Internet Ethics: View
 s from Silicon Valley.\n\n(https://www.scu.edu/ethics/about-the-center/peo
 ple/irina-raicu/[)](https://www.scu.edu/ethics/about-the-center/people/iri
 na-raicu/)) US Local Chapter\n\nModerator:\n\nYuhong Liu\, Associate Profe
 ssor at the Department of Computer Science and Engineering\,\n\nSanta Clar
 a University. Her research interests include responsible AI\, trustworthy 
 computing\n\nand cyber security of emerging applications\, such as online 
 social media\, Internet-of-things\n\nand Blockchain. She has published ove
 r 100 papers on prestigious journals and peer\n\nreviewed conferences. She
  is currently serving as an Associate Editor of IEEE Transactions\n\non Ci
 rcuits and Systems for Video Technology (TCSVT)\, IEEE Transactions on Ser
 vice\n\nComputing (TSC)\, Multimedia Tools and Applications (MTAP)\, APSIP
 A Transactions on Signal and Information\n\nProcessing (TSIP)\, and a Yout
 h EBM Editor of the Blockchain: Research and Applications Journal. She ser
 ves\n\nas an IEEE Computer Society Distinguished Visitor (2022-2024)\, and
  an APSIPA Distinguished Lecturer (2021-\n\n2022). She is the recipient of
  the 2019 Researcher of the Year Award at School of Engineering\, Santa Cl
 ara\n\nUniversity\, the 2013 University of Rhode Island Graduate School Ex
 cellence in Doctoral Research Award\, and\n\nthe Best Paper award of the I
 EEE International Conference on Social Computing 2010 (acceptance rate 13%
 ).\n\n(https://www.scu.edu/engineering/faculty/liu-yuhong/[)](https://www.
 scu.edu/engineering/faculty/liu-yuhong/))\n\nCo-sponsored by: Asia-Pacific
  Signal and Information Processing Association (APSIPA) \n\nVirtual: https
 ://events.vtools.ieee.org/m/482441
LOCATION:Virtual: https://events.vtools.ieee.org/m/482441
ORGANIZER:pendyala@ieee.org
SEQUENCE:192
SUMMARY:Tomorrow&#39;s Tech\, Today&#39;s Earth: AI in the Age of Sustainability
URL;VALUE=URI:https://events.vtools.ieee.org/m/482441
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;p1&quot;&gt;Panel Discussion&amp;nbsp\;&lt;/p&gt;\n&lt;p
  class=&quot;p1&quot;&gt;Speakers:&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;&lt;strong&gt;Shaolei Ren &lt;/strong&gt;is a
 n Associate Professor of Electrical and Computer Engineering at the&lt;/p&gt;\n&lt;
 p class=&quot;p2&quot;&gt;University of California\, Riverside. His research broadly fo
 cuses on AI\, energy\, and public&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;health. His work has 
 generated broader societal impacts\, shaping AI policies adopted by&lt;/p&gt;\n&lt;
 p class=&quot;p2&quot;&gt;international organizations such as the United Nations\, UNES
 CO\, and WHO. Additionally\,&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;his research has driven in
 dustry innovations\, including the development of the first real-&lt;/p&gt;\n&lt;p 
 class=&quot;p2&quot;&gt;time water footprint reporting tool for computing. He is a reci
 pient of the NSF CAREER&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;Award (2015) and several paper 
 awards\, including at ACM e-Energy (2024\, 2016) and IEEE&lt;/p&gt;\n&lt;p class=&quot;p
 2&quot;&gt;ICC (2016). He received his Ph.D. from the University of California\, L
 os Angeles.&lt;/p&gt;\n&lt;hr&gt;\n&lt;p class=&quot;p2&quot;&gt;&lt;strong&gt;Dr. Sharon Hsiao &lt;/strong&gt;is 
 Assistant Professor &amp;amp\; David Packard endowed junior fellow in the&lt;/p&gt;\
 n&lt;p class=&quot;p2&quot;&gt;Department of Computer Science &amp;amp\; Engineering at Santa 
 Clara University. Prior to&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;SCU\, Dr. Hsiao was an assis
 tant professor at Arizona State University and Columbia&lt;/p&gt;\n&lt;p class=&quot;p2&quot;
 &gt;University\, where she established several research projects and taught g
 raduate &amp;amp\;&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;undergraduate level courses. Dr. Hsiao&amp;r
 squo\;s research focuses on educational&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;technologies\, 
 computational modeling\, visual analytics\, and adaptive technology for&lt;/p
 &gt;\n&lt;p class=&quot;p2&quot;&gt;personalized learning. Her research methodology involves 
 AI and HCI approaches\,&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;applied data science and machin
 e learning techniques in researching effective&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;technolo
 gy to help people learn. Dr. Hsiao actively involves in several internatio
 nal research communities\,&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;including Educational Data M
 ining (EDM)\, Learning Analytics &amp;amp\; Knowledge (LAK)\, Artificial Intel
 ligence in&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;Education (AIED)\, and European Conference o
 n Technology Enhanced Learning (EC-TEL). She serves as the&lt;/p&gt;\n&lt;p class=&quot;
 p2&quot;&gt;Program Chair of 14th International Conference on Educational Data Min
 ing\, Organizing Chair of the 9th of&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;International Conf
 erence on Learning Analytics &amp;amp\; Knowledge\, and several other leadersh
 ip and editing&lt;/p&gt;\n&lt;p class=&quot;p3&quot;&gt;&lt;span class=&quot;s1&quot;&gt;positions.&amp;nbsp\;&lt;/span
 &gt;&lt;a href=&quot;https://webpages.scu.edu/ftp/ihsiao/&quot;&gt;https://webpages.scu.edu/f
 tp/ihsiao/&lt;/a&gt;&lt;span class=&quot;s1&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;hr&gt;\n&lt;p class=&quot;p2&quot;&gt;&lt;st
 rong&gt;Irina Raicu&lt;/strong&gt; directs the &lt;span class=&quot;s2&quot;&gt;Internet Ethics pro
 gram&lt;/span&gt; at the Markkula Center for Applied&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;Ethics. 
 She is a certified information privacy professional\, and her work address
 es a&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;wide variety of topics&amp;mdash\;from online privacy 
 to social media&amp;rsquo\;s impact on society\,&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;from the d
 igital divide to the ethics of encryption\, and the many ethical issues&lt;/p
 &gt;\n&lt;p class=&quot;p2&quot;&gt;associated with artificial intelligence. Raicu was a memb
 er of the Partnership on&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;AI&#39;s first working group on Fa
 ir\, Transparent\, and Accountable AI\, and she served as&lt;/p&gt;\n&lt;p class=&quot;p
 2&quot;&gt;a member of the initial cohort of the city of San Jose&amp;rsquo\;s privacy
  advisory task force.&lt;/p&gt;\n&lt;p class=&quot;p4&quot;&gt;Together with other center staff\
 , Raicu has worked with multiple companies in the process of developing&lt;/p
 &gt;\n&lt;p class=&quot;p4&quot;&gt;their responsible tech/responsible AI policies and proces
 ses. Her writing has appeared in publications&lt;/p&gt;\n&lt;p class=&quot;p4&quot;&gt;including
  The Atlantic\, U.S.A. Today\, Forbes\, MarketWatch\, Slate\, the San Fran
 cisco Chronicle\, and she is the&lt;/p&gt;\n&lt;p class=&quot;p3&quot;&gt;&lt;span class=&quot;s3&quot;&gt;prima
 ry contributor to the blog &lt;/span&gt;Internet Ethics: Views from Silicon Vall
 ey.&lt;/p&gt;\n&lt;p class=&quot;p5&quot;&gt;&lt;span class=&quot;s1&quot;&gt;(&lt;/span&gt;&lt;a href=&quot;https://www.scu.e
 du/ethics/about-the-center/people/irina-raicu/&quot;&gt;https://www.scu.edu/ethics
 /about-the-center/people/irina-raicu/&lt;/a&gt;&lt;span class=&quot;s1&quot;&gt;&lt;a href=&quot;https:/
 /www.scu.edu/ethics/about-the-center/people/irina-raicu/)&quot;&gt;)&lt;/a&gt; &lt;/span&gt;&lt;s
 pan class=&quot;s4&quot;&gt;US Local Chapter&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;p4&quot;&gt;&lt;strong&gt;Moderato
 r&lt;/strong&gt;:&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;Yuhong Liu\, Associate Professor at the Dep
 artment of Computer Science and Engineering\,&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;Santa Cla
 ra University. Her research interests include responsible AI\, trustworthy
  computing&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;and cyber security of emerging applications\
 , such as online social media\, Internet-of-things&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;and 
 Blockchain. She has published over 100 papers on prestigious journals and 
 peer&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;reviewed conferences. She is currently serving as 
 an Associate Editor of IEEE Transactions&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;on Circuits an
 d Systems for Video Technology (TCSVT)\, IEEE Transactions on Service&lt;/p&gt;\
 n&lt;p class=&quot;p2&quot;&gt;Computing (TSC)\, Multimedia Tools and Applications (MTAP)\
 , APSIPA Transactions on Signal and Information&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;Process
 ing (TSIP)\, and a Youth EBM Editor of the Blockchain: Research and Applic
 ations Journal. She serves&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;as an IEEE Computer Society 
 Distinguished Visitor (2022-2024)\, and an APSIPA Distinguished Lecturer (
 2021-&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;2022). She is the recipient of the 2019 Researche
 r of the Year Award at School of Engineering\, Santa Clara&lt;/p&gt;\n&lt;p class=&quot;
 p2&quot;&gt;University\, the 2013 University of Rhode Island Graduate School Excel
 lence in Doctoral Research Award\, and&lt;/p&gt;\n&lt;p class=&quot;p2&quot;&gt;the Best Paper a
 ward of the IEEE International Conference on Social Computing 2010 (accept
 ance rate 13%).&lt;/p&gt;\n&lt;p class=&quot;p5&quot;&gt;&lt;span class=&quot;s1&quot;&gt;(&lt;/span&gt;&lt;a href=&quot;https
 ://www.scu.edu/engineering/faculty/liu-yuhong/&quot;&gt;https://www.scu.edu/engine
 ering/faculty/liu-yuhong/&lt;/a&gt;&lt;span class=&quot;s1&quot;&gt;&lt;a href=&quot;https://www.scu.edu
 /engineering/faculty/liu-yuhong/)&quot;&gt;)&lt;/a&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;
END:VEVENT
END:VCALENDAR