BEGIN:VCALENDAR VERSION:2.0 PRODID:-//208.94.116.123//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-FROM-URL:https://www.noahgreenstein.com/wordpress X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-7986@www.noahgreenstein.com/wordpress DTSTAMP:20240328T114926Z CATEGORIES;LANGUAGE=en-US:Independent CONTACT:http://wi-consortium.org/conferences/bi2023/index.html DESCRIPTION:
The International Conference on Brain Informatics (BI) serie s has established itself as the world’s premier research conference on Bra in Informatics\, which is an emerging interdisciplinary and multidisciplin ary research field that combines the efforts of Cognitive Science\, Neuros cience\, Machine Learning\, Data Science\, Artificial Intelligence (AI)\, and Information and Communication Technology (ICT) to explore the main pro blems that lie in the interplay between human brain studies and informatic s research.
\nThe 16th International Conference on Brain Informatics (BI’23) provides a premier international forum to bring together research ers and practitioners from diverse fields for presentation of original res earch results\, as well as exchange and dissemination of innovative and pr actical development experiences on brain Informatics research\, brain-insp ired technologies and brain/mental health applications.
\nThe key th eme of the conference is “Brain Science meets Artificial Intellige nce“.
\nThe BI’23 solicits high-quality original research a nd application papers (both full paper and abstract submissions). Relevant topics include but are not limited to:
\nKeynote Speakers
\nMIT\, Massachusetts General Hospital\, USA
\nProfile: Emery Neal Brown is the Warren M. Zapol Professor of Anesthesia at Harvard Medical School and at M assachusetts General Hospital (MGH)\, and a practicing anesthesiologist at MGH. At MIT he is the Edward Hood Taplin Professor of Medical Engineering and professor of computational neuroscience\, the Associate Director of t he Institute for Medical Engineering and Science\, and the Director of the Harvard–MIT Program in Health Sciences and Technology. Brown is one of on ly 19 individuals who has been elected to all three branches of the Nation al Academies of Sciences\, Engineering\, and Medicine\, as well as the fir st African American and the first anesthesiologist to be elected to all th ree National Academies.
\nProfessor Bin He
\nCarnegie Mellon University\, USA
\nProfile: Bin He is the Trustee Professor of Biomedical Engineering\, Professor of the Neur oscience Institute\, and Professor by courtesy of Electrical and Computer Engineering at Carnegie Mellon University. Dr. He has made significant res earch and education contributions to the field of neuroengineering and bio medical imaging\, including functional biomedical imaging\, noninvasive br ain-computer interface (BCI)\, and noninvasive neuromodulation. His pionee ring research has helped transforming electroencephalography from a 1-dime nsional detection technique to 3-dimensional neuroimaging modality. His la b demonstrated for the first time for humans to fly a drone and control a robotic arm just by thinking about it using a noninvasive BCI. He is an el ected Fellow of International Academy of Medical and Biological Engineerin g (IAMBE)\, American Institute of Medical and Biological Engineering (AIMB E)\, Biomedical Engineering Society (BMES)\, and IEEE. Dr. He served as a Past President of the IEEE Engineering in Medicine and Biology Society\, t he Editor-in-Chief of IEEE Transactions on Biomedical Engineering from 201 3-2018\, the Chair of the International Academy of Medical and Biological Engineering from 2018-2021. Dr. He has been a Member of NIH BRAIN Initiati ve Multi-Council Working Group from 2014-2019.
\nProfessor J ohn Ngai
\nNIH BRAIN Initiative\, USA
\nProfile
Professor Helen Mayberg
\nIcahn School of Medicine at Mount Sinai\, USA
\nProfile
Professor Vinod Goel
\nYork Un iversity\, Canada
\nProfile: Vinod Goel is a profes sor of cognitive neuroscience at York University\, Toronto\, Canada. He co mpleted his PhD in cognitive science at UC-Berkeley\, and received postdoc toral training in neuroscience at the NIH (NINDS) and the Wellcome Departm ent of Cognitive Neurology\, Institute of Neurology\, UCL\, UK. He has mad e significant empirical contributions to our understanding of the roles of prefrontal cortex in real-world problem solving and reasoning\, hemispher ic asymmetry in prefrontal cortex\, and models of rationality\, using the methodologies of fMRI and lesion studies. He has most recently completed a book reconstructing the role of rationality in human behavior entitled “R eason and Less: Pursuing Food\, Sex\, and Politics” (The MIT Press\, 2022) . His current project is to explore the implications of this work on our u nderstanding of reason and legal responsibility.
\nProfessor Amy Kuceyeski
\nCornell University\, USA
\nProfile: Amy Kuceyeski is an Associate Professor of Mathematics an
d Neuroscience in Radiology at Weill Cornell Medicine and the Computationa
l Biology Department at Cornell University. She is the director of the Com
putational Connectomics (CoCo) Laboratory and the Machine Learning in Medi
cine group at Cornell. Over the past 14 years\, she has been working to un
derstand the human brain using quantitative modeling approaches\, includin
g machine learning\, to map anatomical and physiological characteristics t
o behavior. Specifically\, she is interested in understanding how brains r
ecover from injury so we can devise strategies\, possibly via non-invasive
neuromodulation\, to support natural recovery processes. She also perform
s research at the intersection of biological and artificial neural network
s that aims to understand how human brains process incoming visual informa
tion.
Professor Patrick Purdon
\nHarvard Me dical School\, USA
\nProfile: Patrick L. Purdon\, P h.D.\, is an Associate Professor of Anaesthesia at Harvard Medical School and the Nathaniel M. Sims Endowed Chair in Anesthesia Innovation and Bioen gineering at Massachusetts General Hospital. Dr. Purdon received his A.B. in Engineering Sciences from Harvard College in 1996\, his M.S. in Electr ical Engineering from MIT in 1998\, and his Ph.D. in Biomedical Engineerin g from MIT in 2005. Dr. Purdon’s research in neuroengineering encompasses the mechanisms of anesthesia\, Alzheimer’s disease and brain health\, ane sthesia and the developing brain\, neural signal processing\, and the deve lopment of novel technologies for brain monitoring. He has published over 90 peer-reviewed publications\, is an inventor on 16 pending patents\, and is a Fellow of the American Institute for Medical and Biological Engineer ing. Dr. Purdon has won numerous awards\, including the prestigious Natio nal Institutes of Health Director’s New Innovator Award.
\nI mportant Dates
\nPaper Submission and Publ ications
\nFull Paper (Regular):
\n1. 9-12 pages are
strongly encouraged for the regular papers including figures and reference
s in Springer LNCS Proceedings format(https://www.springer.com/us/computer
-science/lncs/conference-proceedings-guidelines). Over length papers will
be charged for 100$ per page.
\n2. All papers will be peer-reviewed a
nd accepted based on originality\, significance of contribution\, technica
l merit\, and presentation quality.
\n3. All papers accepted (and all
workshop & special sessions’ full-length papers) will be published by Spr
inger as a volume of the Springer-Nature LNAI Brain Informatics Book Serie
s(https://link.springer.com/conference/brain).
Abstract (Only for Workshops/Special Sessions):
\nResearch abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the ti tle of the paper and an abstract body within 500 words. The abstract will not be included in the conference proceedings to be published by Springer.
\nJournal Opportunities:
\nHigh-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Inf ormatics Journal\, (https://braininformatics.springeropen.com/) an interna tional\, peer-reviewed\, interdisciplinary Open Access journal published b y Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors.
\nSpecial Issues & Books Opportunities:
\nWorkshop/special session organizers and BI confere nce session chairs may consider and can be invited to prepare a book propo sal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/1 5148)\, or a special issue at the Brain Informatics Journal.
\n1. Accepted full papers will be selected to publish in the Brain Informatics Journal upon revision .
\n2. Discount or no article-processing fee will be charged for aut hors of Brain Informatics conference (https://braininformatics.springerope n.com/).
\n3. The organizers of Workshops and Special-Sessions are i nvited to prepare a book proposal based on the topics of the workshop/spec ial session for possible book publication in the Springer-Nature Brain Inf ormatics and Health book series (http://www.springer.com/series/15148).
\n\n DTSTART;VALUE=DATE:20230801 DTEND;VALUE=DATE:20230804 GEO:+40.744623;-74.025399 LOCATION:Stevens Institute of Technology @ 1 Castle Point Terrace\, Hoboken \, NJ 07030\, USA SEQUENCE:0 SUMMARY:The 16th International Conference on Brain Informatics URL:https://www.noahgreenstein.com/wordpress/event/the-16th-international-c onference-on-brain-informatics/ X-COST-TYPE:free X-TAGS;LANGUAGE=en-US:artificial intelligence\,cfp\,cognitive science\,comm unication\,conference\,information\,mind\,neuroscience END:VEVENT END:VCALENDAR