- Philip Schniter received the B.S. and M.S. degrees in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1992 and 1993, respectively. From 1993 to 1996 he was employed by Tektronix Inc. in Beaverton, OR as a systems engineer. In 2000, he received the Ph.D. degree in Electrical Engineering from Cornell University in Ithaca, NY. Subsequently, he joined the Department of Electrical and Computer Engineering at The Ohio State University in Columbus, OH, where he is now a Professor and a member of the Information Processing Systems (IPS) Lab. He held visiting professor positions at Eurecom (Sophia Antipolis, France) from October 2008 through February 2009, at Supelec (Gif sur Yvette, France) from March 2009 through August 2009, and at the Information Initiative at Duke (iiD) (Durham, NC) from August 2016 through May 2017.
Philip Schniter is an IEEE Fellow and a member of the IEEE Signal Processing Society and IEEE Information Theory Society. Since 2018 he has been elected to serve on the IEEE Computational Imaging Technical Committee (CITC), and from 2013-2018 he was elected to serve on the IEEE Sensor Array and Multichannel (SAM) Technical Committee, and from 2005-2010 he was elected to serve on the IEEE Signal Processing for Communications and Networking (SPCOM) Technical Committee. He was a guest editor for the IEEE JSAC Special Issue on Full-duplex Wireless Communications and Networks, and he served from 2005-2009 as an Associate Editor for IEEE Signal Processing Letters. He is currently on the editorial board of the SIAM Journal on Imaging Sciences. He was the General Chair of the 2016 Asilomar Conference on Signals, Systems, and Computers, for which he served as the Technical Chair in 2013, the Vice Technical Chair in 2012, and the Area Chair for Signal Processing and Adaptive Systems in 2011. Since 2018 he has been elected to serve on the Steering Committee for the Asilomar Conference on Signals, Systems, and Computers. He also served as the Signal Processing Area Chair for the 2017 and 2019 editions of the International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop. Previously, Dr. Schniter served as technical co-chair (with Wei Ye) for the 2008 ACM International Workshop on UnderWater Networks (WUWNet), as technical co-chair (with Elza Erkip) for the 2006 IEEE Communication Theory Workshop (CTW), and he organized special sessions for the 2016 IEEE Information Theory Workshop, the 2014 Asilomar Conference on Signals, Systems, and Computers, the 2013 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), and the 2009 IEEE Underwater Acoustic Signal Processing Workshop (UASP). He regularly serves on technical program committees for the IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP), the IEEE Global Conference on Signal and Information Processing (GLOBALSIP), the IEEE Workshop on Statistical Signal Processing (SSP), the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), the IEEE Workshop on Signal Processing Advances in Wireless Communication (SPAWC), and the IEEE Global Communications Conference (GLOBECOM).
While pursuing his Ph.D. degree, Dr. Schniter received a Schlumberger Fellowship and an Intel Foundation Fellowship. He was awarded the 1999 Prize Paper Award from the IEEE Energy Development and Power Generation Committee for work relating to his M.S. thesis. In 2003, he received the National Science Foundation CAREER Award and, in 2005, the OSU College of Engineering Lumley Research Award. With graduate student Adam Margetts, he co-authored a paper that was a finalist in the student paper contest at the IEEE ICASSP-2005 conference. With graduate student Arun Kannu, he co-authored a paper that was a winner in the student paper contest at the IEEE SPAWC-2005 conference. In 2012, his graduate student Justin Ziniel won First Place in the OSU Hayes Graduate Research Forum. In 2014, he was elevated to IEEE Fellow "for contributions to signal processing in communications". With graduate student Jason Parker and collaborator Volkan Cevher, he won the 2016 IEEE Signal Processing Society Best Paper Award. Most recently, he won the Qualcomm Faculty Award in 2017 and 2018.
Dr. Schniter's areas of research include signal processing, machine learning, communication theory, and information theory. He has received research funding from the National Science Foundation, the National Institutes of Health, the Air Force Research Laboratory, the Defense Advanced Research Projects Agency, MIT Lincoln Labs, Motorola Labs, the Office of Naval Research, Qualcomm, and Sandia National Labs.