New Data Science Course – Winter 2018

By | Educational, News

Computational Data Science
(EECS 598 / BIOINF 505)

A new graduate course that provides an in-depth introduction to computational methods in data science for identifying, fitting, extracting and making sense of patterns in large data sets is now enrolling students for Winter 2018.

Lectures will typically begin with an introduction of a core data science method, followed by the student programming the method computationally with a computer assisting the student by certifying when the program is correct, interleaved with ‘just-in-time’ theory that will expose the student to the mathematics that underpin the methodology. Once the method has been correctly implemented, the students will be given a real world example or ‘success story’ to work with that illustrates when the algorithm ‘works’ as expected, followed by an instructor guided computational exploration of the various subtleties of the algorithm and its weakness.

A full course description, prerequisites and schedule are available.

Please share this announcement with students who might be interested.

Emily Mower Provost Receives NSF CAREER Award to Develop Emotion and Mood Recognition for Mental Health Monitoring and Treatment

By | General Interest, News

Prof. Emily Mower Provost has been awarded an NSF CAREER grant for her research project, “Automatic Speech-Based Longitudinal Emotion and Mood Recognition for Mental Health Monitoring and Treatment.”

Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology. The goals of her research are motivated by the complexities of human emotion expression and perception.

More information about the project is available from the College of Engineering and Prof. Mower Provost’s CAREER Award Posting by NSF.

Ambuj Tewari selected as 2017 Alfred P. Sloan Research Fellow in Computer Science

By | General Interest, News

Ambuj Tewari is one of seven U-M scientists selected for Sloan Fellowships.  Dr. Tewari obtained his PhD from UC Berkeley, and joined the University of Michigan as Assistant Professor of Statistics in 2012.  He also holds a courtesy appointment at the Department of Electrical Engineering and Computer Science.  Dr. Tewari is also an Affiliate Faculty member in MIDAS.

The two-year, $60,000 fellowships are awarded to scientists “in recognition of distinguished performance and a unique potential to make substantial contributions to their field,” according to the organization’s website. Researchers are considered based on nominations, and then selected by an independent panel of senior scientists.

The Alfred P. Sloan Foundation supports early career researchers in eight fields, including chemistry, computational and evolutionary molecular biology, computer science, economics, mathematics, neuroscience, ocean sciences, and physics.

For more information, please see the U-M news release.

MIDAS Co-Director Al Hero receives 2016-2017 Stephen S. Attwood Award

By | Al Hero, General Interest, News

Al Hero, Co-Director for the Michigan Institute for Data Science (MIDAS), has received the 2016-2017 Stephen S. Attwood Award, the highest honor awarded to a faculty member by the College of Engineering for “extraordinary achievement in teaching, research, service, and other activities that have brought distinction to the College and University.”  More information on this prestigious honor are at http://eecs.umich.edu/eecs/about/articles/2017/al-hero-receives-coe-stephen-attwood-award.html.