ALORA: Affine Low-Rank Approximations. - Alan Ayala; Xavier Claeys; Laura Grigori (J. Sci. Comput., 2019)

Correction to: ALORA: Affine Low-Rank Approximations. - Alan Ayala; Xavier Claeys; Laura Grigori (J. Sci. Comput., 2019)

heFFTe: Highly Efficient FFT for Exascale. - Alan Ayala; Stanimire Tomov; Azzam Haidar; Jack J. Dongarra (ICCS (1), 2020)

Autonomous Vehicle Control Using a Deep Neural Network and Jetson Nano. - Rocco Febbo; Brendan Flood; Julian Halloy; Patrick Lau; Kwai Wong; Alan Ayala (PEARC, 2020)

Linear-time CUR approximation of BEM matrices. - Alan Ayala; Xavier Claeys; Laura Grigori (J. Comput. Appl. Math., 2020)

Accelerating Multi - Process Communication for Parallel 3-D FFT. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (ExaMPI@SC, 2021)

Scalability Issues in FFT Computation. - Alan Ayala; Stanimire Tomov; Miroslav Stoyanov; Jack J. Dongarra (PaCT, 2021)

Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs. - Sébastien Cayrols; Jiali Li; George Bosilca; Stanimire Tomov; Alan Ayala; Jack J. Dongarra (CLUSTER, 2022)

Performance Analysis of Parallel FFT on Large Multi-GPU Systems. - Alan Ayala; Stan Tomov; Miroslav Stoyanov; Azzam Haidar; Jack J. Dongarra (IPDPS Workshops, 2022)

Local Multiple Traces Formulation for electromagnetics: Stability and preconditioning for smooth geometries. - Alan Ayala; Xavier Claeys; Paul Escapil-Inchauspé; Carlos Jerez-Hanckes (J. Comput. Appl. Math., 2022)

Control Theory and Bayesian Networks for Black Spots Study. - Leonardo Flores; Jorge Vargas; Alan Ayala; Jeremy Ramos; Edwin Salas (IEEE Access, 2025)