BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011104T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010311T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CLASS:PUBLIC CREATED:20220729T164945Z DESCRIPTION:THIS COLLOQUIUM IS HYBRID IN PARSONS AUDITORIUM AND ON ZOOM.GOV \n \nJHU/APL Colloquium - www.jhuapl.edu/colloquium \n \nTOPIC: Can We Trust AI?\n \nSPEAKER: Rama Chellappa\ , Bloomberg Distinguished Professor\, JHU\n \nFor more than six decades\, the field of Artificial Intelligence (AI) has generated unreasonable expec tations but under delivered. Owing to the availability of massive amounts of multi-modal data and the reemergence of neural network-based methods\, AI appears to be on the verge of becoming the dominant technology of the f uture. While this development has basically shaken many established fields such as computer vision\, defense\, medicine\, natural language processin g\, robotics\, and smart transportation\, AI has also raised many concerns about bias\, privacy\, robustness and vulnerability. In this talk\, I wil l present a balanced view of current state of AI development and what the future holds.\n \nProf. Rama Chellappa is a Bloomberg Distinguished Profes sor in the Departments of Electrical and Computer Engineering and Biomedic al Engineering at Johns Hopkins University (JHU). At JHU\, he is affiliat ed with CIS\, CLSP\, IAA and MINDS. He also holds a non-tenured position a s a College Park Professor at the University of Maryland. He received the M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue Universi ty\, West Lafayette\, IN. His current research interests span many areas i n image and signal processing\, computer vision\, artificial intelligence\ , and machine learning. Prof. Chellappa is a recipient of numerous awards from the IEEE\, the International Association of Pattern recognition\, the University of Maryland and the University of Southern California. In 2010 \, he was recognized as an Outstanding ECE by Purdue University. He receiv ed the Distinguished Alumni Award from the Indian Institute of Science in 2016. Prof. Chellappa has served as the EIC of IEEE Transactions on Patter n Analysis and Machine Intelligence\, as a Distinguished Lecturer of the I EEE Signal Processing Society\, as the President of IEEE Biometrics Counci l and as General and Technical Program Chair/Co-Chair for several IEEE int ernational and national conferences and workshops. He is a Golden Core Mem ber of the IEEE Computer Society\, a Fellow of AAAI\, AAAS\, ACM\, AIMBE\, IAPR\, IEEE\, NAI and OSA and holds eight patents. He has supervised 115 doctoral dissertations.\n \n________________________________\n\n \nYou are invited to a Zoom webinar.\nWhen: Dec 9\, 2022 02:00 PM Eastern Time (US and Canada)\nTopic: APL Colloquium - Rama Chellappa\n \nPlease click the l ink below to join the webinar:\nhttps://jhuapl.zoomgov.com/j/1602464566?pw d=MktsQ1FTNitrenhUWTM5cmJndkt6dz09\nPasscode: 046712\nOr One tap mobile : \n US: +16692545252\,\,1602464566#\,\,\,\,*046712# or +16468287666\,\, 1602464566#\,\,\,\,*046712# \nOr Telephone:\n Dial(for higher quality\, dial a number based on your current location):\n US: +1 669 254 52 52 or +1 646 828 7666 or +1 551 285 1373 or +1 669 216 1590 or 833 568 8864 (Toll Free)\nWebinar ID: 160 246 4566\nPasscode: 046712\n Interna tional numbers available: https://jhuapl.zoomgov.com/u/abGKzkxvp9\n \nOr a n H.323/SIP room system:\n H.323: 161.199.138.10 (US West) or 161.199.1 36.10 (US East)\n Meeting ID: 160 246 4566\n Passcode: 046712\n S IP: 1602464566@sip.zoomgov.com\n Passcode: 046712\n \n DTEND;TZID="Eastern Standard Time":20221209T150000 DTSTAMP:20220729T164945Z DTSTART;TZID="Eastern Standard Time":20221209T140000 LAST-MODIFIED:20220729T164945Z LOCATION:Parsons Auditorium and Zoom.Gov webinar PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-us:Colloquium - Rama Chellappa - Bloomberg Distinguishe d Professor\, JHU TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000B011CB1483A1D801000000000000000 010000000AC563D2DEEDDBF41A5ECCDEC59BDECA4 X-ALT-DESC;FMTTYPE=text/html:

THIS COLLOQUIUM IS HYBRID IN PARSONS AUDITORIUM AND ON ZOOM.GOV

 \;

JHU/APL Colloquium - www.jhuapl.edu/colloquium 

 \;

TOPIC:  Can We Trust AI?

  \;

SPEAKER:  Rama Chellappa\, Bloomberg Distinguish ed Professor\, JHU

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For more than six decades\, the field of Artificial Intelligence (AI) h as generated unreasonable expectations but under delivered. Owing to the a vailability of massive amounts of multi-modal data and the reemergence of neural network-based methods\, AI appears to be on the verge of becoming t he dominant technology of the future. While this development has basically shaken many established fields such as computer vision\, defense\, medici ne\, natural language processing\, robotics\, and smart transportation\, A I has also raised many concerns about bias\, privacy\, robustness and vuln erability. In this talk\, I will present a balanced view of current state of AI development and what the future holds.

& nbsp\;

Prof. Rama Chellappa is a Bloomberg Distinguished Professor in the Departments of Electric al and Computer Engineering and Biomedical Engineering at Johns Hopkins Un iversity (JHU). At JHU\, he is  aff iliated with CIS\, CLSP\, IAA and MINDS. He also holds a non-tenured posit ion as a College Park Professor at the University of Maryland.  He received the M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue University\, West Lafayette\, IN. His current research interests span many areas in image and signal processing\ , computer vision\, artificial intelligence\, and machine learning. Prof. Chellappa is a recipient of numerous awards from the IEEE\, the Internatio nal Association of Pattern recognition\, the University of Maryland and th e University of Southern California. In 2010\, he was recognized as an Out standing ECE by Purdue University. He received the Distinguished Alumni Aw ard from the Indian Institute of Science in 2016. Prof. Chellappa has serv ed as the EIC of IEEE Transactions on Pattern Analysis and Machine Intelli gence\, as a Distinguished Lecturer of the IEEE Signal Processing Society\ , as the President of IEEE Biometrics Council and as General and Technical Program Chair/Co-Chair for several IEEE international and national confer ences and workshops. He is a Golden Core Member of the IEEE Computer Socie ty\, a Fellow of AAAI\, AAAS\, ACM\, AIMBE\, IAPR\, IEEE\, NAI and OSA and holds eight patents. He has supervised 115 doctoral dissertations.

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 \;

You are invited to a Zoom webinar.

When: Dec 9\, 2022 02:00 PM Eastern Time (US and Canada)

Topic: APL Colloquium - Rama Chellappa

 \;

Please click the link below to join the webinar:

https://jhuapl.z oomgov.com/j/1602464566?pwd=MktsQ1FTNitrenhUWTM5cmJndkt6dz09

Passcode: 046712

Or One tap mobile :

 \; \; \; \;US: + 16692545252\,\,1602464566#\,\,\,\,*046712# \; or +16468287666\,\,16024 64566#\,\,\,\,*046712#

Or Telephone:

 \; \; \; Dial(for higher quality\, di al a number based on your current location):

 \; \; \; \; \; \; \; US: +1 669 254 5252&nbs p\; or +1 646 828 7666 \; or +1 551 285 1373 \; or +1 669 216 1590  \; or 833 568 8864 (Toll Free)

Webinar ID: 160 246 4566

Passcode: 046712

 \; \; \; International numbers available: https://jhuapl.zoomgov.com/u/abGKzkxvp9

 \;

Or an H.323/SIP room system:

 \; \; \; H.323: 161.199.138.10 (US West) or 161.199.136.10 (US East)

 \; \;&n bsp\; Meeting ID: 160 246 4566

 \; \ ; \; Passcode: 046712

 \; \;&nbs p\; SIP: 1602464566@sip.zoomgov.com

 \;& nbsp\; \; Passcode: 046712

 \;< /o:p>

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