Zeeshan Syed
Assistant Professor

Department of Electrical Engineering and Computer Science
University of Michigan




Research

How do we predict heart attacks and sudden death? When is an unplanned c-section really necessary? Which patients will develop adverse side effects to new drugs? Where is the next flu outbreak likely to occur?

My research lies at the interesection of EECS and medicine, and focuses on novel applications of machine learning and signal processing to address the needs of modern medicine and developing world healthcare. Within this broad area, some specific problems that I am interested in include the development of computational biomarkers to predict cardiovascular and neurological disorders; treatment planning for cancer and surgery; low-cost software surrogates for expensive diagnostic hardware; and sustainable information and communication technologies for global health education and disease prevention. Most of this work is driven by the availability of large amounts of data and the opportunity to discover previously unknown information that can be used to foster improvements in health.

If you are interested in learning more about research opportunities within this space, please contact me at the information provided above.
Teaching

I will be teaching EECS 598 Biomedical Machine Learning in Fall 2009.
Short Biography

I received my bachelor's and master's degrees in EECS from MIT in 2003, and a doctorate in computer science and biomedical engineering from MIT and Harvard Medical School in 2009 through the Harvard-MIT Health Sciences and Technology (HST) collaboration. Since Fall 2009, I have been a faculty member at the University of Michigan.
Publications

Journal Papers

Conferences