IEEE Signal Processing - July 2018 - 54
He is also the main organizer of the Robust Subspace Learning
and Applications in Computer Vision workshops hosted at the
International Conference on Computer Vision in 2015 and
2017. He is a reviewer for many international journals and toplevel conferences.
Sajid Javed (S.Javed.1@warwick.ac.uk) obtained his
B.Sc. (honors) degree in computer science from University of
Hertfordshire, United Kingdom, in 2010. He then joined the
Virtual Reality Laboratory of Kyungpook National University, Republic of Korea, in 2012, where he completed his
combined master's and doctoral degrees in computer science
under the supervision of Prof. Soon Ki Jung and cosupervision of Prof. Thierry Bouwmans from MIA Lab, France, in
2017. He has been a postdoctoral research fellow in the
Department of Computer Science, University of Warwick,
United Kingdom, since October 2017. He actively works on
computer vision and image analytics for cancer under the
supervision of world leader Prof. Nasir Rajpoot at the Tissue
Image Analytics Lab. He has coauthored approximately 30
publications including several journals and international conferences publications in the area of robust principal component analysis for background-foreground modeling. His other
research interests are salient object detection, visual object
tracking, semantic segmentation, subspace clustering, and
social analysis of cancer cells.
Praneeth Narayanamurthy (pkurpadn@iastate.edu)
obtained his B.Tech. degree in electrical and electronics engineering from the National Institute of Technology Karnataka,
Surathkal, India, in 2014 and subsequently worked as a project assistant in the Department of Electrical Engineering of
the Indian Institute of Science. Currently, he is a Ph.D. student
in the Department of Electrical and Computer Engineering at
Iowa State University, Ames. His research interests include the
algorithmic and theoretical aspects of high-dimensional statistical signal processing, and machine learning. He is a Student
Member of the IEEE.
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IEEE Signal Processing Magazine
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July 2018
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