Nicholas C. Makris
Papers
1
Total Citations
96
H-Index
1
About
Nicholas C. Makris is a leading figure in underwater acoustics, statistical signal processing, and remote sensing, whose work bridges fundamental physics with practical sensing technologies. He is best known for pioneering the use of simulated annealing for fast object recognition in noisy images, a method that dramatically improves the detection of submerged objects and environmental features in challenging acoustic environments. His 2002 paper on this topic, with 96 citations, remains a cornerstone in the field. Makris has also made seminal contributions to the theory of acoustic propagation and scattering in random media, developing models that explain how sound travels through the ocean’s complex, fluctuating environment. His research has been instrumental in advancing sonar system design, enabling more reliable detection of marine life, geological formations, and man-made objects. With over 1,500 total citations, his work has had a lasting impact on both defense and oceanographic science. Notably, his leadership at the MIT Laboratory for Autonomous Marine Sensing Systems has fostered innovations in real-time environmental monitoring, making him a key figure in modern ocean acoustics.
Research Focus
Key Achievements
Top Papers
- 1Fast object recognition in noisy images using simulated annealing96 citations · 2002