Thomas Blanford

Research Assistant Professor
Phone: (603) 862-3202
Office: UNH Center for Acoustics Research & Education, Morse Hall, Durham, NH 03824
Color photo of student.

My research primarily investigates acoustic sensing in underwater environments, where problems of physics, electrical engineering, mechanical engineering, and computer science all intersect. Acoustic sensors are often complicated devices, with mechanical, electrical, and acoustical elements. Each of these components, along with the environment, all color and influence the signals the sensor is intended to detect. I am particularly interested in understanding the relationships and interactions between the stimuli, the sensor, and the environment. This research often involves developing models to predict performance and interactions and designing, building, and testing new sensors (including transducers, electronics, and signal processing).


  • Ph.D., Acoustics, Pennsylvania State University

Research Interests

  • Acoustics
  • Sensing Devices and Transducers
  • Signal Processing
  • Navigation & Guidance Systems
  • Sonar Systems

Selected Publications

Blanford, T. E., Brown, D. C., & Meyer, R. J. (2023). A Comparison of Two Methods for Simulating Spatial Coherence-Based Motion Estimation. IEEE Journal of Oceanic Engineering, 48(4), 1280-1288. doi:10.1109/joe.2023.3297229

Reed, A., Kim, J., Blanford, T., Pediredla, A., Brown, D., & Jayasuriya, S. (2023). Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar. ACM Transactions on Graphics, 42(4), 1-20. doi:10.1145/3592141

Brown, D. C., & Blanford, T. E. (2023). Near range breakdown of the phase centre approximation. Electronics Letters, 59(12). doi:10.1049/ell2.12777

Goehle, G., Cowen, B., Blanford, T. E., Daniel Park, J., & Brown, D. C. (2023). Approximate extraction of late-time returns via morphological component analysis.. J Acoust Soc Am, 153(5), 2838. doi:10.1121/10.0019415

Reed, A., Blanford, T., Brown, D. C., & Jayasuriya, S. (2023). SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations. IEEE Journal of Selected Topics in Signal Processing, 17(2), 458-472. doi:10.1109/jstsp.2022.3215849

Hoang, T., Dalton, K. S., Gerg, I. D., Blanford, T. E., Brown, D. C., & Monga, V. (2023). Resonant Scattering-Inspired Deep Networks for Munition Detection in 3D Sonar Imagery. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17. doi:10.1109/tgrs.2023.3324223

Park, J. D., Goehle, G., Cowen, B., Blanford, T. E., & Brown, D. C. (2023). Assessing the Utility of Multiple Representations for Object Classification. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14. doi:10.1109/tgrs.2023.3279790

Blanford, T. E., Garrett, L., Park, J. D., & Brown, D. C. (2022). Leveraging audio hardware for underwater acoustics. The Journal of the Acoustical Society of America, 151(4_Supplement), A248-A249. doi:10.1121/10.0011221

Hahn, M., Blanford, T., Trolier-McKinstry, S., & Meyer, R. J. (2022). Erratum: “Flexoelectric barium strontium titanate (BST) hydrophones” [J. Appl. Phys. 129, 064504 (2021)]. Journal of Applied Physics, 131(8). doi:10.1063/5.0081911

Park, J. D., Blanford, T. E., & Brown, D. C. (2021). Late return focusing algorithm for circular synthetic aperture sonar data.. JASA Express Lett, 1(1), 014801. doi:10.1121/10.0003063