IEEE SP&EMB Lecture - From big data to functional outcomes: Can we use large data sets to understand changes in swallowing, gait and cerebral functions?

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The IEEE Signal Processing Chapter of Atlanta and the IEEE EMB Chapter of Atlanta are hosting Prof. Ervin Sejdic for a technical lecture.



  Date and Time

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  • Date: 20 Nov 2015
  • Time: 11:30 AM to 01:30 PM
  • All times are (GMT-05:00) US/Eastern
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  • 266 Ferst Dr
  • Atlanta, Georgia
  • United States 30332
  • Building: Klaus College of Computing
  • Room Number: 1116 East
  • Click here for Map

  • Co-sponsored by IEEE EMB Atlanta Chapter
  • Starts 21 October 2015 02:00 PM
  • Ends 20 November 2015 01:30 PM
  • All times are (GMT-05:00) US/Eastern
  • No Admission Charge


  Speakers

Prof. Ervin Sejdic Prof. Ervin Sejdic of Bioengineering Department, University of Pittsburgh

Topic:

From big data to functional outcomes

A biomarker is defined as a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. In recent years, there has been growing emphasis on the utility of molecular biomarkers, usually to identify molecules whose detection indicates a particular disease state. Although, molecular biomarkers are useful under certain conditions, complementary approaches to probe other characteristics of a living system may provide crucial information when molecular biomarkers are difficult to identify. In this talk, I will present my efforts to develop dynamical biomarkers that can characterize temporal and spatial signatures (i.e., the unique patterns of moment-to-moment changes of physiologic variables under normal or pathologic conditions) and their relationship to other variables. Specifically, I will elaborate my efforts to develop computational biomarkers for detecting swallowing difficulties, gait changes and changes in cerebral blood flow. These computational biomarkers are obtained by mining large data sets in order to characterize changes in the considered functional outcomes under various conditions.

Biography:

Dr. Ervin Sejdić received B.E.Sc. and Ph.D. degrees in electrical engineering from the University of Western Ontario, London, Ontario, Canada in 2002 and 2008, respectively. From 2008 to 2010, he was a postdoctoral fellow at the University of Toronto with a cross-appointment at Bloorview Kids Rehab, Canada’s largest children’s rehabilitation teaching hospital.  From 2010 until 2011, he was a research fellow at Harvard Medical School with a cross-appointment at Beth Israel Deaconess Medical Center. From his earliest exposure to research, he has been eager to contribute to the advancement of scientific knowledge through carefully executed experiments and groundbreaking published work. This has resulted in co-authoring over 80 publications in the last 5 years. Dr. Sejdić’s passion for discovery and innovation drives his constant endeavors to connect advances in engineering to society’s most challenging problems. Hence, his research interests include biomedical signal processing, vascular aging, gait analysis, swallowing difficulties, advanced information systems in medicine, rehabilitation engineering, assistive technologies and anticipatory medical devices.

Prof. Ervin Sejdic of Bioengineering Department, University of Pittsburgh

Topic:

From big data to functional outcomes

Biography:

Prof. Ervin Sejdic of Bioengineering Department, University of Pittsburgh

Topic:

From big data to functional outcomes

Biography:





Agenda

Friday, November 20, 2015, from 12:00PM -1PM; 

Refreshments will be served at 11:45AM and speaker at 12PM

Klaus College of Computing on Georgia Tech main campus, Room 1116 East