Kenneth Darrel Morton

Image of Kenneth Darrel Morton

Assistant Research Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations
  • Assistant Research Professor in the Department of Electrical and Computer Engineering
Contact Information:
  • Office Location: Hudson Hall Rm 130, Durham, NC 27708
  • Office Phone: (919) 660-5252
  • Email Address: kenneth.morton@duke.edu
Education:

  • Ph.D. Duke University, 2010

Research Interests:

My research concerns the development and application of Bayesian statistical models to signal processing and machine learning problems in a variety of real-time and real-world application areas. I am actively working on problems concerning acoustic signal classification, the detection of buried landmines and understanding video streams. My goal is to make tools that leave the lab and get into the hands of people who can use them to do their job’s better.

Specialties:

Signal Processing
Sensing and Sensor Systems
Land Mine Detection
Acoustics

Courses Taught:
  • ENERGY 595-1: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 595: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 596-1: Connections in Energy: Interdisciplinary Team Projects
  • ENERGY 596: Connections in Energy: Interdisciplinary Team Projects

Representative Publications: (More Publications)
    • Torrione, PA; Morton, KD; Sakaguchi, R; Collins, LM, Histograms of oriented gradients for landmine detection in ground-penetrating radar data, IEEE Transactions on Geoscience and Remote Sensing, vol 52 no. 3 (2014), pp. 1539-1550 [10.1109/TGRS.2013.2252016] [abs].
    • Ratto, CR; Morton, KD; Collins, LM; Torrione, PA, Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing (2013) [10.1109/TGRS.2013.2257175] [abs].
    • Manandhar, A; Jr, KDM; Collins, LM; Torrione, PA, Multiple instance hidden markov models for GPR-based landmine detection, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016401] [abs].
    • Sakaguchi, RT; Jr, KDM; Collins, LM; Torrione, PA, Application of image categorization methods for buried threat detection in GPR data, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016709] [abs].
    • Tantum, SL; Colwell, KA; Jr, WRS; Torrione, PA; Collins, LM; Jr, KDM, Sparse model inversion and processing of spatial frequency-domain electromagnetic induction sensor array data for improved landmine discrimination, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016063] [abs].