Ronny Hadani
Ronny Hadani is an Israeli-American mathematician, specializing in representation theory and harmonic analysis, with applications to signal processing. He is known for developing Orthogonal Time Frequency and Space (OTFS) modulating techniques, a method used for making wireless 5G communications faster, that is also being considered for use in 6G technology. The technology is being used by several wireless 5G related companies and Cohere Technologies, a company he has co-founded. Early life and education. Hadani received his MS degree in Computer Science from the Weizmann Institute of Science in 1999 under the supervision of  David Harel. He received his Ph.D. degree in Pure Mathematics from Tel-Aviv University in 2006 under the supervision of Joseph Bernstein. Career. Academia. From the years 2006 to 2009, Hadani held an L.E. Dickson Postdoctoral Fellowship of Mathematics at the University of Chicago. Since 2009, he has been an associate professor of mathematics at the University of Texas, Austin. Cohere Technologies. In 2010, Hadani co-founded Cohere Technologies with Shlomo Rakib. The company is a Silicon Valley wireless startup that focuses on wireless improvements using OTFS and the Delay-Doppler model to improve FDD/TDD spectrum performance with channel  detection, estimation, prediction, and precoding software for 4G and 5G networks, compliant with 3GPP standards and O-RAN. Patents. Hadani has been granted over 70 OTFS related patents, which include a communications method employing Orthogonal Time Frequency Space (OTFS) shifting and spectral shaping, which allows users to transmit and receive at least one frame of data ([D]) over a wireless communications link. He has also patented methods of operating and implementing wireless OTFS communications systems. His OTFS technology has been tested by companies such as C Spire, 5TONIC, Telefónica, and Deutsche Telekom, Academic works. According to Google Scholar , Hadani has published over 75 research papers and patents. His works have been cited over 3300 times.