Profile

Shahnam Mirzaei

Shahnam Mirzaei

California State University, Northridge

Dr. Shahnam Mirzaei is an assistant professor in the Department of Electrical and Computer Engineering at the California State University, Northridge. He has received his Ph.D. from University of California, Santa Barbara (UCSB) in the area of Electrical and Computer Engineering at 2010, His M.Sc. from California State University, Northridge, and his B.Sc. from University of Tehran. Dr. Mirzaei has worked as an application engineer for six years from 2000 to 2005 with focus on problem solving and resolving design issues with regards to Xilinx FPGAs and SoCs. After receiving his Ph.D., he has worked as an R&D engineer in the area of signal processing for three years from 2010 to 2013. Dr. Mirzaei started his academic job as an assistant professor at California State University, Northridge at 2013. His research interests fall into the realm of reconfigurable hardware, signal and image processing, and embedded systems. In recent years, he has focused on developing techniques for hardware acceleration of software algorithms and implementing signal processing applications on on reconfigurable hardware. Dr. Mirzaei has been the recipient of Electrical and Computer Engineering Department Fellowship Award in Spring 2010 from University of California, Santa Barbara, Radar Systems Spot Award Achievement Certificate in recognition of superior individual effort for developing signal processing algorithms, in February 2011 from Exelis (currently known as Harris Corp.), Inc. and 59th Annual National Engineers Outstanding Engineering Achievement Merit Award in Universal City, California in February 2014. He has collaborated actively with researchers in several other disciplines of, particularly cloud computing, internet of things, reconfigurable hardware, and signal and image processing. He has been a member of Technical Program Committee for International Conference on ReConFigurable Computing and FPGAs in 2013 and IEEE Journal of Transactions on VLSI Systems in 2016. >