Yeheskel Bar-Ness, PhD, a distinguished professor at New Jersey Institute of Technology who is a prominent expert in wireless communications and signal processing, has worked for four decades to advance the field of electrical and computer engineering. Bar-Ness directs the Center for Communications and Signal Processing Research (CCSPR) at NJIT, which working with industry, government and other universities, is improving many aspects of wireless technology.
An especially notable achievement of the CCSPR is the set of algorithms developed by its researchers. The algorithms have become industry standards, used to facilitate so-called code division multiple access (CDMA), a widely used digital cell phone technology. Faculty affiliated with the center--the backbone of communications research in the department of electrical and computer engineering at NJIT for two decades--have received funding for projects from the National Science Foundation, the U.S. Army and Air Force and companies that include AT&T, ITT, InterDigital, Nokia, Mitsubishi, Panasonic, Samsung and Telcordia.
Bar-Ness is a Fellow and Lifetime Member of the Institute of Electrical and Electronics Engineering (IEEE); in 2005 he was honored by the IEEE for his “outstanding, sustained and visionary contributions” to the institute’s publications and for founding the journal IEEE Communications Letters.”
He has published more than 200 papers and has a U.S. patent on smart antennas. He has been a principal investigator or co-principal investigator on research grants or contracts supported by the National Science Foundation, the New Jersey Commission on Science and Technology, the U.S. Army, the U.S. Air Force and the Naval Oceanic Center. He is a recipient of the Kaplan Prize (1973), which is awarded annually by the government of Israel to the ten best technical contributors.
Bar-Ness received a bachelor’s and a master’s degree in electrical engineering from the Technion in Haifa, Israel, and a doctorate from Brown University.
Topics: wireless communications, signal processing