Dr. Lanterman grew up in St. Louis, MO and attended Washington University,where he finished a triple major consisting of a B.A. in music, B.S. in computer science, and a B.S. in electrical engineering in 1993. He stayed on for graduate school, receiving an M.S. (1995) and D.Sc. (1998) in electrical engineering. His graduate work focused on target recognition for infrared imagery as part of the U.S. Army Center for Imaging Science. After graduation, he joined the Coordinated Science Laboratory at the Univ. of Illinois at Urbana-Champaign, where he managed a large project on covert radar systems which exploit "illuminators of opportunity" such as commercial television and FM radio signals. He joined the Georgia Tech faculty in the fall of 2001.
He has worn many hats in the music industry, including those of concert promoter, recording engineer, and soundman. While in St. Louis, he worked as a writer, photographer, typesetter, and eventually managing editor for a local music publication. He plays keyboard and guitar.
- Target recognition
- Image reconstruction
- Radar systems
- Music synthesis
- Richard M. Bass/Eta Kappa Nu Oustanding Teacher Award (2006)
- NIC Certificate of Excellence "for outstanding contributions to the National Intelligence Council and exceptional service to the Intelligence Community"
- Session chair, SPIE Aerosense conference
- Member IEEE and SPIE
K. Choi, A.D. Lanterman, and R. Raich, Convergence of the Schulz-Snyder Phase Retrieval Algorithm to Local Minima, Journal of the Optical Society of America A, Vol. 23, No. 8, Aug. 2006, pp. 1835-1845.
M. Tobias and A.D. Lanterman, Probability Hypothesis Density-Based Multitarget Tracking with Bistatic Range and Doppler Observations, IEE Proc. Radar, Sonar, and Navigation, Vol. 152, No. 3, June 2005, pp. 195-205.
A.D. Lanterman, "Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Order Estimation, International Statistical Review," Vol. 69, No. 2, August 2001, pp. 185-212.
A. Srivastava, A.D. Lanterman, U. Grenander, M. Loizeaux, and M.I. Miller, "Monte Carlo Techniques for Automated Target Recognition," Chapter 26 in Sequential Monte Carlo Methods in Practice, Eds: A. Doucet, N. de Frietas, and N. Gordon, Springer, 2001, pp. 533-552.
M. Brandfass, A.D. Lanterman, and K.F. Warnick, "A Comparison of the Colton-Kirsch Inverse Scattering Methods with Linearized Tomographic Inverse Scattering", Inverse Problems, Vol. 17, No. 6, Dec. 2001, pp. 1797-1816.
A.D. Lanterman, "Bayesian Segmentation via Asymptotic Partition Functions," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 22, No. 4, April 2000, pp. 337-347.
A.D. Lanterman, J.A. O'Sullivan, M.I. Miller, "Kullback-Leibler Distances for Quantifying Clutter and Models," Optical Engineering, Vol. 38, No. 2, Dec. 1999, pp. 2134-2146.
M. Faisal, A.D. Lanterman, D.L. Snyder and R. L. White, "Implementation of a Modified Richardson-Lucy Method for Image Restoration on a Massively Parallel Computer to Compensate for Space-Variant Point-Spread of a Charge-Coupled-Device Camera," Journal of the Optical Society of America A, Vol. 12, No. 12, December 1995, pp. 2593-2603.
Last revised February 12, 2018