Dr. Phillip DeLeon is the Klipsch Distinguished Professor in the Klipsch School of Electrical and Computer Engineering and Associate Vice President for Research in the Office of the Vice President for Research.
Methods Expertise: machine learning [parametric/non-parametric methods e.g. GMM, KNN; classification/regression machines; kernel methods including sparse kernel machines, e.g. SVM, RVM; dimensionality reduction e.g. PCA, Diffusion Maps]; deep learning (FCN, CNN, Auto Encoding, GAN)
Substantive Expertise: Signal Processing (speech SP, adaptive SP, embedded SP, wireless SP); mobile/smartphone sensing (iOS) including IMU; time-frequency analysis
Department Profile: https://wordpress.nmsu.edu/pdeleon
Science Hall 292B
New Mexico State University
Las Cruces, NM 88003-8001
