Schniter, Philip

Biography

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. He held visiting professor positions at Eurecom (Sophia Antipolis, France) in 2008, at Supelec (Gif sur Yvette, France) in 2009, and at the Information Initiative at Duke (iiD) (Durham, NC) in 2016-2017.
 

Prof. Schniter is an IEEE Fellow. He has served on the IEEE Computational Imaging Technical Committee, the IEEE Sensor Array and Multichannel Technical Committee, and the IEEE Signal Processing for Communications and Networking Technical Committee. After serving for many years as an Associate Editor for IEEE Signal Processing Letters, he now serves as an Associate Editor for the SIAM Journal on Imaging Sciences. He also serves on the Steering Committee for the Asilomar Conference on Signals, Systems, and Computers, for which he formerly served as General Chair, Technical Chair, and other roles. And he serves as an Area Chair for the International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop. 

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. He won the 2016 IEEE Signal Processing Society Best Paper Award and the Qualcomm Faculty Award in 2017 and 2018.

Expertise

Dr. Schniter's areas of research include machine learning, signal and image processing, communication theory, and information theory.