Summer School on Signal Processing and Machine Learning for Big Data in Pittsburgh, USA

Dear All,
We are organizing the 2016 IEEE Signal Processing Society Summer School on Signal Processing and Machine Learning for Big Data ( The workshop will be held in Pittsburgh, PA, USA, May 17 – 19, 2016. We would appreciate very much if you can forward this information along with a brief description of the workshop to your local members. Thank you very much for your time and effort.
Ervin Sejdic and Murat Akcakaya

A brief description of the workshop:

Humans, machines and sensors collectively generate an enormous amount of data on a daily basis. The fact that much of this data is now accessible provides an opportunity to explore, analyze and extract previously unavailable and potentially highly useful information. In many cases, the volume and speed of data generation makes traditional centralized data analysis infeasible. The lack of structure, and the amount of noise and outliers emphasize the need for robust processing across heterogeneous data domains. High dimensionality makes it challenging to visualize and interpret the data. Overall, Big Data analysis presents many challenges and opportunities for current and future signal processing professionals. This Summer School is intended to provide an introduction to the current efforts to explore Big Data from a signal processing perspective. Topics will range from foundations for Big Data analysis and processing (robust statistical methods, sparse representations, numerical linear algebra, machine learning, convergence and complexity analysis) to Big Data applications (social networks, behavior and language analysis, bioinformatics, smart grid, environmental monitoring, and others). For more information please visit to register please visit before April 30th, 2016.

IEEE Committee web meeting

The IEEE in 2030 Ad Hoc Committee, working on behalf of the IEEE Board of Directors, continues to make progress on the strategic objectives that emerged from the January 2015 Board retreat to create a nimble, flexible, forward-looking organization.

Regular, face-to-face meetings, punctuated by socialization with members of the Board as well as other volunteers and members, have resulted in valuable feedback. This feedback has continuously informed revisions of a potentially new governance structure for the IEEE. This effort was originally motivated by recognition from the IEEE Board of Directors at the January 2015 Board retreat that the current governing structure is not as effective or efficient as it could be, and change can help the organization as it moves toward the year 2030.

The IEEE in 2030 committee has received questions and additional feedback about our plans for communicating the proposed governance changes. We have reserved the following times for three live question and answer sessions with the IEEE Presidents:

  • Karen Bartleson, 2016 IEEE President-elect on Friday, 29 April 2016, from 9:00 p.m. ET to 10:00 p.m. ET (01:00 to 2:00 UTC-04)
  • Howard E. Michel, Ph.D., 2016 IEEE Past President on Wednesday, 11 May, from 7:00 p.m. ET to 8 p.m. ET (23:00 to 24:00 UTC-04)
  • Barry L. Shoop, Ph.D., P.E., 2016 IEEE President and CEO on Friday, 27 May, from 8:00 a.m. ET to 9:00 a.m. ET (12:00 to 13:00 UTC-04)

These will be open sessions, and all who are interested are encouraged to participate. The sessions will also be recorded, and posted to the web.

To participate, visit during the session time. Remember to mark your calendar with the link. On the session date, when you reach the homepage, click the red “On Air” banner. If you arrive before the stream has launched, click on the blue “Coming Soon” banner.

Once you reach the page with the live-stream video, click the “Ask a Question” tab to submit your question. Questions cannot be submitted ahead of time. Please submit your questions during the session time.

We look forward to a meaningful and thoughtful dialogue.


Barry L. Shoop, Ph.D., P.E., 2016 IEEE President and CEO
Karen Bartleson, 2016 IEEE President-elect
Howard E. Michel, Ph.D., 2016 IEEE Past President