U.S. Department of Energy

Pacific Northwest National Laboratory

Human-Machine-Interaction: The Best of Both Worlds

Tuesday, August 2, 2016
Eli Brown
Assistant Professor, College of Computing and Digital Media
DePaul University
There are an increasing number of applications of machine learning in a wide variety of areas, and plenty of examples where a human is in-the-loop. If we believe that human and machine are better together than either alone, we must strive to demonstrate this principle on systems that solve real problems with collaboration between HCI and machine learning communities. To this point, the work has carried on without a collective understanding of the space of what’s possible. In the talk I will discuss a framework for systems integrating human and machine with examples of existing systems and a set of challenges to the communities going forward.
Speaker Bio

Professor Brown is an Assistant Professor in the College of Computing and Digital Media at DePaul University. He received his Ph.D. and M.S. in Computer Science from Tufts University and his B.A. from Cornell University in Computer Science and Math. His teaching is focused in the Predictive Analytics Program. His current research revolves around leveraging the best of both visualization and machine learning for data analysis.

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