Fred Daum is an IEEE Fellow, a Principal Fellow at Raytheon, a Distinguished Lecturer for the IEEE and a graduate of Harvard University. Fred was awarded the IEEE Gold Medal for radar technology in 2024. Fred was also awarded the Tom Phillips prize for technical excellence, in recognition of his ability to make complex radar systems work in the real World. Fred developed, analyzed and tested the real time tracking, waveform scheduling, calibration and discrimination algorithms for essentially all the long range phased array radars built by the USA in the last four decades, including: Cobra Dane, PAVE PAWS, Cobra Judy, BMEWS SSPAR,ROTHR, SBX, THAAD radar, TPY-2, and UEWR. Fred has also worked on many other systems, including: sonar, GPS, air traffic control radars, ship board fire control radar systems, multi-sensor data fusion systems (e.g., JADGE), as well as JLENS and SPY-3 radars. Fred's exact fixed finite dimensional nonlinear filter theory generalizes the Kalman and Beneš filters to the exponential family. Fred’s particle flow nonlinear filter is many orders of magnitude faster than standard particle filters for the same accuracy. He has published over one hundred technical papers, and he has given invited lectures at MIT, Harvard, Yale, Caltech, Technion, Ecole Normale Superieure de Paris, Brown, Georgia Tech., Duke, Stony Brook University, Univ. of Connecticut, Univ. of Minnesota, Waterloo, Melbourne Univ., Univ. of Toulouse, Univ. of New South Wales, Univ. of Canterbury, Liverpool Univ., Xidian Univ., Univ. of Illinois at Chicago, Washington Univ. at St Louis, McMaster Univ., Universidad Don Bosco, Boston Univ., Northeastern University, WPI, Huntsville, Colorado, Arizona at Tucson and Rutgers.