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News and Awards
Prof. Mitra Elevated to IEEE Fellow
Prof. Subhasish Mitra been elevated to IEEE Fellow.
His citation reads: For contributions to design and test of robust integrated circuits.
Appointed the Willard R. and Inez Kerr Bell Professorship in the School of Engineering
Philip is professor of Electrical Engineering. He received electrical engineering degrees from the University of Hong Kong (BSc, 1982), the University of New York, Stony Brook (MS, 1983), and Lehigh University (PhD, 1988). Professor Wong joined Stanford in 2004, after sixteen years in various research capacities at IBM (T.J. Watson Research Center in Yorktown, NY).
Philip’s research interests are in the area of nanoscale science and technology, semiconductor technology, solid-state devices, and electronic imaging. He is interested in exploring new materials, novel fabrication techniques, and novel device concepts for future nanoelectronics systems. His research also includes explorations into circuits and systems that are device-driven. His current research covers a broad range of topics including carbon nanotubes, semiconductor nanowires, self-assembly, exploratory logic devices, nanoelectronmechanical devices, novel memory devices, and biosensors. Philip has published extensively in these areas and is widely regarded as a national research leader.
A Fellow of the IEEE, Philip also serves on the Executive Committee of the Symposium on VLSI Technology and Circuits, and is a member of the Emerging Research Devices Working Group of the International Technology Roadmap for Semiconductors. He has also recently published a book.
I greatly value and appreciate Philip’s efforts to champion the area of nanoscale science and technology within the school and at the university level. His distinguished academic and research efforts make him a deserving recipient of this endowed chair. Please join me in congratulating him on this honor.
Andrea Goldsmith appointed first holder of the Stephen Harris Professorship in the School of Engineering
Andrea is professor of Electrical Engineering. She earned BS, MS, and PhD degrees from the University of California, Berkeley in 1986, 1991, and 1994, respectively. Before arriving at Stanford in 1999, Professor Goldsmith held positions as a systems engineering at MAXIM Technologies, a consultant at AT&T Bell Laboratories, a research assistant at the University of California Berkeley, and an assistant professor at CalTech. While on leave from Stanford from 2006 to 2009 she founded and served as CTO of Quantenna Communications, Inc.
Andrea’s research includes work on the design and capacity analysis of wireless systems and networks, cognitive radios, sensor and “green” networks, cross-layer wireless network design, and applications of communications and signal processing to health and neuroscience. In particular, her work focuses on the areas of adaptive modulation and coding, multiantenna systems, multiple access and dynamic resource allocation, joint source/channel coding, energy constrained networks, and wireless communications for control applications.
The author of one book and co-author of another Andrea is a Fellow of the IEEE, and has received numerous awards for her work. These include an NSF CAREER Development Award, a Sloan Fellowship and the Office of Naval Research Young Investigator Award. On campus, Professor Goldsmith was an inaugural recipient of Stanford’s Postdoc Mentoring Award, and has served – among other roles – as a member of the university’s budget group, faculty senate, commission on graduate education, and planning and policy board.
Andrea’s rise through the ranks within the school, the recognition she has received in her chosen field, and her willingness to serve in various administrative capacities in the university make her a very worthy holder of this chair. Please join me in congratulating her on this honor.
Interdigital's Innovation Challenge
Andrea Goldsmith, Alexandros Manolakos, and Yair Noam have won 3rd place in Interdigital's Innovation Challenge. The prize was awarded for their blind null space learning algorithm, which blindly determines the spatial dimensions in which different MIMO radios can operate without any interference between them. The algorithm can be used to significant improve spectral efficiency in cellular systems, WiFi networks, and cognitive radio networks. Interdigital's Innovation Challenge is open to participants from any North American university; it annually awards $175,000 in prizes for innovation in wireless technology.
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