Profile
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Aleksandar Dogandžić

Bio

I received the Dipl. Ing. degree (summa cum laude) in Electrical Engineering from the University of Belgrade, Yugoslavia, in 1995 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the University of Illinois at Chicago (UIC) in 1997 and 2001, respectively.

In August 2001, I joined the Department of Electrical and Computer Engineering, Iowa State University (ISU), Ames, where I am currently an Associate Professor. My research interests are in statistical signal processing: theory and applications.

I received the 2003 Young Author Best Paper Award and 2004 Signal Processing Magazine Best Paper Award, both by the IEEE Signal Processing Society. In 2006, he received the CAREER Award by the National Science Foundation. At ISU, he was awarded the 2006-2007 Litton Industries Assistant Professorship in Electrical and Computer Engineering. I have served on the Editorial Boards of the IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, IEEE Signal Processing Letters, and International Journal of Navigation and Observation. He has served as a General Co-Chair of the Fourth and Fifth International Workshops on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) in 2011 and 2013 and a Technical Co-Chair of the 2014 and 2016 IEEE Sensor Array and Multichannel (SAM) Workshops.

Research Fields

Information and Computing Sciences

Pre Publication Reviews

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Reviews

52

Reviews (last 12 months)

23

Reviews (average per year)

14

Merit

156

Openness

0.0%

Acceptance rate

25.6%

Review to Publication ratio

1:1.6


Journal Impact factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Aleksandar Dogandžić has reviewed for.

Aleksandar Dogandžić

Computer Science (all) reviewers

Total reviews over time

A cumulative record of Aleksandar Dogandžić's total number of reviews.

Reviews per month

The total number of reviews performed by Aleksandar Dogandžić each month.

Average review length

The average number of words per review (for which we have content), compared to the average of Computer Science (all) reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to Computer Science (all) reviewers and reviewers at affiliated institutions.