BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20201101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20201106T153257Z UID:4C5ECF39-F5A6-4C40-86C0-779A6B6D8AC9 DTSTART;TZID=US/Eastern:20201105T170000 DTEND;TZID=US/Eastern:20201105T200000 DESCRIPTION:IEEE Boston Brain Data Bank Challenge 2020\n\nThe 2020 Brain Da ta Bank Challenge (BDBC-2020) is targeted to expose\, discuss and accelera te on-going brain research from around the world.\n\nOur program will incl ude an overview of the IEEE Brain initiative\, the IEEE Brain Data Bank Ch allenge\, presentations from participants in the challenge\, and a keynote presentation by Professor Robert J. K. Jacob of Tufts University.\n\nThe Boston session is part of a series of events held with judging locations i n Taiwan\, Russia\, and United States. Some teams from these preliminary r ounds will be invited to participate in the final round in Santa Clara\, C A\, USA.\n\nOthers with like interest and curiosity are invited to be in t he audience and take advantage of this borderless sharing of state-of-the- art brain research and development.\n\nThis meeting will be held virtually . Zoom contact information will be provided to registered attendees.\n\nPu rpose\n\nThe 2020 Brain Data Bank Challenge (BDBC-2020) invites topics on brain data analytics to improve the quality of life and safety of senior c itizens. Knowing the senior population has been severely impacted by COVID -19\, this year’s focus will be on the “Aging Brain”.\n\nWe seek to address (some or all) questions below\, regarding the aging brain:\n\n- Ho w effectively do MRI\, EEG\, fNIRS\, and/or fMRI datasets capture the agin g brain?\n- How does the aging brain respond to non-verbal signal (e.g.\, vision\, facial expression\, body language and temperature)?\n- How can em erging techniques\, e.g.\, Big Data Analytics\, Artificial Intelligence\, and Deep Learning\, enhance the prediction of brain aging?\n- How to facil itate ease of use\, reliability and protection of brain datasets?\n\nFurth ermore\, lessons learned from past BDBC presentations have led us to belie ve:\n\n- Using Machine Learning can localize EEG dimensionality with optim ized spatial temporal correlation to compress data by 280 fold.\n- Using A I/Deep Learning can improve dataset performance and prediction sensitivity to above 90%.\n- Low power CNN microchip with nano-sensor can be implante d for real-time prediction.\n- 3D model manufacturing can make comprehensi ve brain display cost-effective.\n\n[]Registration\n\nWe invite you to sig n up as a participant (competing and presenting results) or as an observer (in the audience\, not competing) to the challenge.\n\nRegistration form to enter the IEEE Brain Data Bank Challenge for the IEEE BDB Challenge can be found [here](https://docs.google.com/forms/d/e/1FAIpQLSfcj3mrtNJiyz5Bm 0tWnN6-itqref7_8DNIuDAzlfUkVv-xBw/viewform).\n\nRegistration to attend as a listener for the Boston session - please use the registration button on this form.\n\nOrganizers\n\n-\nNan Chu\, CWLab International\, IEEE Consum er Electronics Society Representative in Brain Initiative and Sensors Coun cil\n\n-\nSeth Elkin Frankston\, U.S. Army CCDC Soldier Center\n\n-\n[Bruc e Hecht\, VG2PLAY](http://www.vg2play.com/)\n\n-\n[Saraju Mohanty\, Univer sity of North Texas](https://computerscience.engineering.unt.edu/people/fa culty/saraju-mohanty)\n\n-\n[Joseph Wei\, Technology Ventures](https://www .techventures.co/about-us)\n\nCo-sponsored by: IEEE Boston Sensors Council Chapter\, IEEE Boston Solid-State Circuits Society Chapter\n\nSpeaker(s): Professor Robert J.K. Jacob\, \n\nAgenda: \n5:00PM. Welcome\n\n5:15PM. In troduction & Overview - Brain Data Bank Challenge\n\n5:45PM. Presentations \n\n7:45PM. Wrap-Up\n\n8:00PM. Close\n\nVirtual: https://events.vtools.iee e.org/m/243029 LOCATION:Virtual: https://events.vtools.ieee.org/m/243029 ORGANIZER:bruce.hecht@ieee.org SEQUENCE:7 SUMMARY:IEEE Boston Brain Data Bank Challenge 2020 URL;VALUE=URI:https://events.vtools.ieee.org/m/243029 X-ALT-DESC:Description: <br /><p>IEEE Boston Brain Data Bank Challenge 2020 </p>\n<p>The 2020 Brain Data Bank Challenge (BDBC-2020) is targeted to exp ose\, discuss and accelerate on-going brain research from around the world .</p>\n<p>Our program will include an overview of the IEEE Brain initiativ e\, the IEEE Brain Data Bank Challenge\, presentations from participants i n the challenge\, and a keynote presentation by Professor Robert J. K. Jac ob of Tufts University.</p>\n<p>The Boston session is part of a series of events held&nbsp\;with judging locations in Taiwan\, Russia\, and United S tates.&nbsp\; Some teams from these preliminary rounds will be invited to participate in the final round in Santa Clara\, CA\, USA.</p>\n<p>Others w ith like interest and curiosity are invited to be in the audience and take advantage of this borderless sharing of state-of-the-art brain research a nd development.</p>\n<p>This meeting will be held virtually.&nbsp\; Zoom c ontact information will be provided to registered attendees.&nbsp\;</p>\n< h2>Purpose</h2>\n<p>The 2020 Brain Data Bank Challenge (BDBC-2020) invites topics on brain data analytics to improve the quality of life and safety of senior citizens. Knowing the senior population has been severely impact ed by COVID-19\, this year&rsquo\;s focus will be on the &ldquo\;Aging Bra in&rdquo\;.</p>\n<p>We seek to address (some or all) questions below\, reg arding the aging brain:</p>\n<ul>\n<li>How effectively do MRI\, EEG\, fNIR S\, and/or fMRI datasets capture the aging brain?</li>\n<li>How does the a ging brain respond to non-verbal signal (e.g.\, vision\, facial expression \, body language and temperature)?</li>\n<li>How can emerging techniques\, e.g.\, Big Data Analytics\, Artificial Intelligence\, and Deep Learning\, enhance the prediction of brain aging?</li>\n<li>How to facilitate ease o f use\, reliability and protection of brain datasets?</li>\n</ul>\n<h5>&nb sp\;</h5>\n<p>Furthermore\, lessons learned from past BDBC presentations h ave led us to believe:</p>\n<ul>\n<li>Using Machine Learning can localize EEG dimensionality with optimized spatial temporal correlation to compress data by 280 fold.</li>\n<li>Using AI/Deep Learning can improve dataset pe rformance and prediction sensitivity to above 90%.</li>\n<li>Low power CNN microchip with nano-sensor can be implanted for real-time prediction.</li >\n<li>3D model manufacturing can make comprehensive brain display cost-ef fective.</li>\n</ul>\n<h2>&nbsp\;</h2>\n<h2><a name="registration"></a>Reg istration</h2>\n<p>&nbsp\;</p>\n<p>We invite you to sign up as a participa nt (competing and presenting results) or as an observer (in the audience\, not competing) to the challenge.&nbsp\;&nbsp\;</p>\n<p><strong>Registrati on form to enter the IEEE Brain Data Bank Challenge for the IEEE BDB Chall enge can be found&nbsp\;<a href="https://docs.google.com/forms/d/e/1FAIpQL Sfcj3mrtNJiyz5Bm0tWnN6-itqref7_8DNIuDAzlfUkVv-xBw/viewform">here</a>.&nbsp \; </strong></p>\n<p><strong>Registration to attend as a listener for the Boston session - please use the registration button on this form.</strong> </p>\n<p>&nbsp\;</p>\n<h2>Organizers</h2>\n<p>&nbsp\;</p>\n<ul>\n<li>\n<h5 >Nan Chu\, CWLab International\, IEEE Consumer Electronics Society Represe ntative in Brain Initiative and Sensors Council</h5>\n</li>\n<li>\n<h5>Set h Elkin Frankston\, U.S. Army CCDC Soldier Center</h5>\n</li>\n<li>\n<h5>< a href="http://www.vg2play.com/">Bruce Hecht\, VG2PLAY</a></h5>\n</li>\n<l i>\n<h5><a href="https://computerscience.engineering.unt.edu/people/facult y/saraju-mohanty">Saraju Mohanty\, University of North Texas</a></h5>\n</l i>\n<li>\n<h5><a href="https://www.techventures.co/about-us">Joseph Wei\, Technology Ventures</a></h5>\n</li>\n</ul><br /><br />Agenda: <br /><p>5:0 0PM. Welcome</p>\n<p>5:15PM. Introduction &amp\; Overview - Brain Data Ban k Challenge</p>\n<p>5:45PM. Presentations</p>\n<p>7:45PM. Wrap-Up&nbsp\;</ p>\n<p>8:00PM. Close</p> END:VEVENT END:VCALENDAR