Home page of Steven J. Apollo

Biography of Steven J. Apollo
Steven J. Apollo was born in Chicago, Illinois in 1959. He received a B.S. degree from the University of Tulsa in 1981, an M.S. degree from Stanford in 1982 and a Ph.D. from the University of Texas at Arlington in 1991, all in electrical engineering. After being a Bell Labs One-Year-On-Campus fellow at Stanford, he worked at AT&T Information Systems as a Member of Technical Staff from 1982-1984 developing digital modems and multiplexors. From 1984-1990 he was with General Dynamics Fort Worth Division developing algorithms for radar, Electronic Warfare and various tactical fighter avionics systems. These included adaptive signal processing techniques to remove ocular artifacts from the EEG of pilots under G induced stress, computer simulations to predict the probability of target handoff between sensors, numerical interpolation of IR atmospheric attenuation data, target correlation, and the application of Artificial Intelligence techniques to EW. From 1989-1990, he served as technical lead for the sensor technologies research while completing Ph.D. course-work. From 1990-1991, he was a graduate research/teaching assistant at the University of Texas at Arlington and a consultant for Mobil Research developing a maximum likelihood estimation methodology using neural networks to estimate lifetimes and intensities from Pulsed Neutron Poroscopy well logs. This research was generalized to the estimation of exponentials in signal-dependent noise and the determination of optimal transforms for parameter estimation. Since 1992, Dr. Apollo has been with Lockheed Fort Worth Company. He has performed advanced image processing/fusion algorithm development for multi-spectral imaging sensors including synthetic aperture radar and EO/IR imagers. He has also investigated applications of very high speed DSP systems to these image processing/fusion algorithms as well as very wide bandwidth/high sensitivity RF receivers. He has studied the application of advanced sensing concepts to the design of hypersonic vehicles including special considerations for SAR. He presently developing new image formation algorithms.