Site Specific Deep Learning for the 6G Air Interface

Dr. Jeffrey Andrews

[Pending]

Speaker Biography:
Jeffrey Andrews (S’98, M’02, SM’06, F’13) received the B.S. in Engineering with High Distinction from Harvey Mudd College, and the M.S. and Ph.D. in Electrical Engineering from Stanford University. He is the Truchard Family Chair in Engineering at the University of Texas at Austin where he is Director of the 6G@UT research center. He worked at Qualcomm (1995-97) on CDMA and Globalstar, and has served as a consultant to Samsung, Nokia, Qualcomm, Apple, Verizon, AT&T, Intel, Microsoft, and NASA. His former students include 12 faculty members, 5 IEEE Fellows, and several leading innovators on LTE and 5G on which they collectively hold over 1,000 US Patents.

Dr. Andrews is an IEEE Fellow and ISI Highly Cited Researcher. He is the co-author of four books, and his papers have received 16 best paper awards including the 2016 IEEE Communications Society & Information Theory Society Joint Paper Award, the 2014 IEEE Stephen O. Rice Prize, the 2014 and 2018 IEEE Leonard G. Abraham Prize, the 2011 and 2016 IEEE Heinrich Hertz Prize, and the 2010 IEEE ComSoc Best Tutorial Paper Award. His other major awards include the 2015 Terman Award, the NSF CAREER Award, the 2021 Gordon Lepley Memorial Teaching Award, the 2021 IEEE ComSoc Joe LoCicero Service Award, the 2019 IEEE Wireless Communications Technical Committee Recognition Award, and the 2019 IEEE Kiyo Tomiyasu Award.