Prof. Karan Singh was one of the recipients of the 2018 President’s Impact Award. You can find details about the award here Congrats Karan!
Prof. Hossein Rahnama of Ryerson University will be giving a TUX talk on Feb 26 at DGP.
More information about the 2018/2019 Tux presentation series is available on the official Tux website.
Jos Stam, DGP graduate and adjunct professor, has won his third Oscar for his work on subdivision surfaces at the Academy’s Scientific and Technical Awards. U of T News has a write-up here:
There is a write-up on Prof. Grossman’s and Rahul’s work on software design for 2d/3d sketching in augmented reality.
Since 2008, Microsoft has awarded research fellowships to support talented graduate students. This year, Haijun Xia was selected as one of the 2018 recipients! The fellowship will support his research in HCI and creating tools to enhance creativity.
What’s it like to work at Industrial Light and Magic? Noah talks about his research and working at ILM.
Prof. Michael Bernstein of Stanford visited the DGP to talk about his work in designing crowd-sourcing systems for experts.
Michael Bernstein is an Assistant Professor of Computer Science at Stanford University, where he co-directs the Human-Computer Interaction group and is a Robert N. Noyce Family Faculty Scholar. His research in human-computer interaction focuses on the design of crowdsourcing and social computing systems. This work has received Best Paper awards and nominations at premier venues in human-computer interaction and social computing (ACM UIST, ACM CHI, ACM CSCW, AAAI ISWSM). Michael has been recognized with the NSF CAREER award, as well as the George M. Sprowls Award for best doctoral thesis in Computer Science at MIT. He holds Ph.D. and M.S. degrees in Computer Science from MIT, and a B.S. in Symbolic Systems from Stanford University.
Crowdsourcing a Meeting of Minds
Crowdsourcing is an increasingly powerful method for combining amateurs’ efforts to recreate an expert’s abilities. However, across domains from design to engineering to art, few goals are truly the effort of just one person — even one expert. If we can now crowdsource simple tasks such as image labeling, how might we computationally coordinate many peoples’ abilities toward far more complex and interdependent goals? In this talk, I present computational systems for gathering and guiding crowds of experts — including professional programmers, designers, singers and artists. The resulting collectives tackle problems modularly and at scale, dynamically grow and shrink depending on task demands, and combine into larger organizations. I’ll demonstrate how computationally-enabled expert crowds can pursue goals such as designing new user experiences overnight, producing animated shorts in two days, and even pursuing novel research.