Associate Professor, Electrical Engineering & Computer Science
Bio: Hamid Jafarkhani received the B.S. degree in electronics from Tehran University in 1989 and the M.S. and Ph.D. degrees both in electrical engineering from the University of Maryland at College Park in 1994 and 1997, respectively.
From June 1996 to Sept. 1996, he was a summer intern at Lucent Technologies (Bell Labs). He joined AT&T Labs-Research as a Senior Technical Staff Member in Aug. 1997. Later he was promoted to a Principle Technical Staff Member. While at AT&T Labs, he and his colleagues invented 'space-time block coding' that has become an active area of research and is widely used in practice. He was with Broadcom Corp. as a Senior Staff Scientist from July 2000 to Sept. 2001. Currently, he is with the Department of Electrical Engineering & Computer Science at the University of California, Irvine where he is also the Deputy Director of Center for Pervasive Communications & Computing .
Hamid Jafarkhani ranked first in the nationwide entrance examination of Iranian universities in 1984. He was a co-recipient of the American Division Award of the 1995 Texas Instruments DSP Solutions Challenge. He received the best paper award of ISWC in 2002 and an NSF Career Award. He was an associate editor for the IEEE Communications Letters form 2001-2005. He has been an editor for the IEEE Transactions on Wireless Communications since 2002 and an editor for the IEEE Transactions on Communications since 2005. He is an IEEE fellow.
I am interested in communication theory with emphases on coding, wireless communications, and wireless networks.
I am currently working on the theoretical and practical challenges of designing systems that use multiple antennas. There are many challenges in designing space-time coding and beamforming schemes for multiple-input multiple-output (MIMO) systems. One of these challenges is to study the theoretical tradeoffs and limits from an information theory perspective. Another is to design practical coding and beamforming schemes that satisfy those limits using signal-processing methods.
On a related topic, I am looking at optimizing resources across different layers of a wireless network. This is in particular important for mobile ad-hoc networks and wireless sensor networks where the traditional layer hierarchies may not exist. I am interested in cross-layer adaptation, network connectivity, and power-aware wireless network protocols especially for networks with multiple-antenna nodes.
Also, I have been involved in developing data compression algorithms especially for image and video coding. My recent work in this field concerns the transmission of multimedia information over wireless networks and the Internet. I am interested in developing new coding schemes and network protocols that improve end-to-end recovery and enhance the quality of service.