Steven Thomas Smith

Dr. Steven Thomas Smith is a senior staff member in the Artificial Intelligence Software Architectures and Algorithms Group at MIT Lincoln Laboratory. He is an expert in radar, sonar, and signal processing who has made pioneering and wide-ranging contributions through his research and technical leadership in estimation theory, resolution limits, and signal processing and optimization on manifolds. He has more than 20 years of experience as an innovative technology leader in statistical data analytics, both theory and practice, and broad leadership experience ranging from first-of-a-kind algorithm development for groundbreaking sensor systems to graph-based intelligence architectures. His contributions span diverse applications from optimum network detection, geometric optimization, geometric acoustics, superresolution, and nonlinear parameter estimation.

Smith received the SIAM Outstanding Paper Award in 2001 and the IEEE Signal Processing Society Best Paper Award in 2010. He has been an invited speaker as an original inventor of some of the big advances in signal processing over the last decade. He was associate editor of the IEEE Transactions on Signal Processing from 2000 to 2002 and serves on the IEEE Sensor Array and Multichannel and Big Data committees. He has taught signal processing courses at Harvard, MIT, and for the IEEE.

Smith holds the BASc degree (1986) in electrical engineering and honours mathematics from the University of British Columbia, Vancouver, B.C., and the PhD degree (1993) in applied mathematics from Harvard University, Cambridge, Massachusetts.