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Michigan Institute for Data Science (MIDAS) Seminars
Events for 2017
JAN
06
2017
MIDAS Seminar
On Data-Driven Creativity
Lav Varschney, PhD, University of Illinois at Urbana-Champaign
JAN
13
2017
MIDAS Seminar
The Potential of On-Demand Mobility: Lessons from System Analysis and Data Visualization
Dimitris Papanikolaou, DDes, Postdoc Researcher, Harvard Graduate School of Design
JAN
27
2017
MIDAS Seminar
Human-Centered Computing: Using Speech to Understand Behavior
Emily Mower Provost, PhD, Assistant Professor, University of Michigan
FEB
03
2017
MIDAS Seminar
Sequential change-point detection over dynamic networks
Yao Xie, PhD, Georgia Institute of Technology
FEB
17
2017
MIDAS Seminar
From Model T to Waymo: Cars have gotten better – has transportation data science?
Carol A. Flannagan, PhD, Research Associate Professor, University of Michigan
FEB
24
2017
MIDAS Seminar
The Shape of Data
Jose Perea, Assistant Professor, Dept of Computational Mathematics, Science & Engineering, Michigan State University
MAR
09
2017
MIDAS Seminar
Probablistic Topic Models and User Behavior
David Blei, Professor of Statistics and Computer Science, Columbia University
MAR
10
2017
MIDAS Seminar
Learning Human Preferences and Perceptions From Data
Robert Nowak, McFarland-Bascom Professor in Engineering, University of Wisconsin-Madison
MAR
17
2017
MIDAS Seminar
Findig Low-Rank Structure in Messy Data
Laura Balzano, Assistant Professor, University of Michigan
APR
07
2017
MIDAS Seminar
Data and Analytics: Emerging trends and opportunities at Ford Motor Company
Michael Cavaretta, Ph.D., Director, Analytics Infrastructure, Ford Motor Compnay
APR
21
2017
MIDAS Seminar
Inferring, Summarizing and Mining Large-scale Graph Data
Danai Koutra, PhD, Assistant Professor, Computer Science and Engineering, University of Michigan
SEP
22
2017
MIDAS Seminar
Sparse Signal Recovery in Bilinear Inverse Problems
Yoram Bresler, PhD, Coordinated Science Laboratory and the Department of ECE University of Illinois at Urbana-Champaign
OCT
20
2017
MIDAS Seminar
Statistical Models for Analyzing Dynamic Social Network Data
Kevin Xu, PhD, Assistant Professor, University of Toledo
NOV
10
2017
MIDAS Seminar
Probabilistic Graphical Models and Online Learning
Tony Jebara, PhD, Associate Professor of Computer Science, Columbia University
NOV
17
2017
MIDAS Seminar
Why Data Science Needs Curation and Why Curation Needs Data Science
Margaret Hedstrom, PhD, Robert M. Warner Collegiate Professor of Information, School of Information, University of Michigan
DEC
01
2017
MIDAS Seminar
Closing the Loop Between Mind and Machine: Building Algorithms to Interface With Brains at Multiple Scales
Christopher J. Rozell, PhD, Associate Professor, Electrical and Computer Engineering, Georgia Institute of Technology
DEC
08
2017
MIDAS Seminar
Bits through Sensors: Bounds on Classification and Learning Performance via Information Content
Matthew Nokleby, PhD, Assistant Professor, Department of Electrical and Computer Engineering Wayne State University