Krim selected as Signal Processing Society Distinguished Lecturer

Dr. Hamid Krim has been selected as a 2015 Distinguished Lecturer by the IEEE Signal Processing Society. The Society’s Distinguished Lecturer Program provides means for chapters to have access to individuals who are well known educators and authors in the fields of signal processing, to lecture at Chapter meetings.


Dr. Hamid Krim has been selected as a 2015 Distinguished Lecturer by the IEEE Signal Processing Society. The Society’s Distinguished Lecturer Program provides means for chapters to have access to individuals who are well known educators and authors in the fields of signal processing, to lecture at Chapter meetings.

Dr. Hamid Krim

Dr. Hamid Krim

“It is a high honor bestowed by peers and leaders in research in the area. It is a vehicle to disseminate research results,” noted Dr. Krim. 

Each year, five technically diverse and geographically dispersed individuals are selected to serve two year appointments as Distinguished Lecturers.

Candidates are selected by the Society’s Board of Governors and are “individuals of distinction who are members of the IEEE and of the IEEE Signal Processing Society, who are recognized experts in their fields of endeavor, and who are capable of delivering a message of importance to the technical community as well as to the Society’s members organized in chapters around the world.”

Dr. Krim’s research interests are in statistical signal processing and mathematical modeling with a keen emphasis on applications. He has been particularly interested in introducing geometric and topological tools to statistical signal processing problems and applications. His research has primarily centered on estimation theoretic problems and modeling. Dr. Krim has published extensively on these areas with an impact amounting to over 5000 citations to date.

Krim expects to lectures all over the world, giving approximately 8 to 10 lectures a year for the next two years. His topics will include topics such as “Shape Analysis and Modeling in Video Applications: Activity Analysis”, “Convexity, Sparsity, Nullity and all that….in Machine Leaning”, and “Sensor and Social Networks: A case for Topological Data Analysis”

Dr. Krim’s lectures will be featured on SigView, the Society’s online video library of tutorials in established and emerging signal processing fields.

Hamid Krim

Professor
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