AMIR ASIF received the M.Sc. and Ph.D. degrees in electrical and computer engineering from Carnegie Mellon University (CMU), Pittsburgh, PA, USA, in 1993 and 1996, respectively. He has been a Professor of electrical and computer engineering with Concordia University, Montreal, QC, Canada, since 2014, where he is now the Dean of the Faculty of Engineering and Computer Science. Previously, he was a Professor of electrical engineering and computer science with York University, Toronto, ON, Canada, from 2002 to 2014 and the faculty of CMU, where he was a Research Engineer from 1997 to 1999. He has authored more than 150 technical contributions, includ-ing invited ones, published in international journals and conference proceedings, and a textbook Continuous and Discrete Time Signals and Systems (Cambridge Univ. Press). He works in the area of statistical signal processing and communications. His current projects include error-resilient, scalable video compression; time-reversal, array imaging detection; genomic signal processing; and sparse, block-banded matrix technologies. He is a member of the Professional Engineering Society of Ontario. He was on the editorial boards of numerous journals and international conferences, including Associate Editor for the IEEE TRANSACTIONS OF SIGNAL PROCESSING (2014–2018) and the IEEE SIGNAL PROCESSING LETTERS (2002–2006, 2009–2013). He has organized four IEEE conferences on signal processing theory and applications. He was the recipient of the several distinguish-ing awards including the York University Faculty of Graduate Studies Teaching Award in 2008; York University Wide Teaching Award (Full-Time Senior Faculty Category) in 2008 from York University; the FSE Teaching Excel-lence Award (Senior Faculty Category) from York’s Faculty of Science and Engineering in 2004 and 2006; and the CSE Mildred Baptist Teaching Excellence Award from York’s Department of Computer Science and Engin-eering in 2003 and 2006.