CR:XinWei.Sha

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Collaborating Researcher: Xin Wei Sha

Contact Information

GRAND Projects

Biography

Sha Xin Wei, Ph.D., is Canada Research Chair in Media Arts and Sciences, and Associate Professor in the Department of Computational Design at Concordia University in Montréal, Canada. He directs the Topological Media Lab, an atelier building responsive environments for play, performance, and everyday life. Dr. Sha's research focusses on distributed forms of gesture, agency, and hybrid computational/physical matter -- topological media -- from computational and phenomenological perspectives. Sha Xin Wei was trained in mathematics at Harvard and Stanford Universities, and worked more than 12 years in the fields of scientific computation, network media authoring systems and media theory. Since 1984, Sha has worked on paradigm technologies with Apple Research, Xerox PARC, NeXT, Be, Sun, Taligent, IBM Research, Interval Research, and other Silicon Valley innovators. He has directed event/installations in Ars Electronica Austria, V2 DEAF, Elektra Montréal, eArts Shanghai, and Harvestworks New York. These works have been recognized by cultural foundations such as the Langlois Foundation; the LEF Foundation; Hexagram; CFI; the Creative Work Fund; and the Rockefeller Foundation. In 2001, as faculty sat the School of Literature, Communication and Culture at the Georgia Institute of Technology in Atlanta, and research faculty in the Graphics, Visualization and Usability Center in the College of Computing, Sha founded the Topological Media Lab. In 2004-2005, he was Visiting Scholar in History of Science at Harvard University, and the Program in Science, Technology, and Society at MIT. In 2009-2011, Sha is Visting Scholar in French and Italian at Stanford University working on a book about Topological Media. Dr. Sha is leading 5 research initiatives on responsive spaces and technologies of memory, gestural media, dance with realtime video and sound, electro-acoustic augmented musical performance, and architecture, with funding from FQRSC, FQRNT, SSHRC, Hexagram, and Concordia.


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