Papers

JOURNALS
Omar Costilla Reyes, Patricia Scully, and Krikor B. Ozanyan. Thinking and walking: A deep learning approach to detect age-related differences in dual tasks from healthy adults. IEEE Sensors Journal. January 2020 (under review).

Omar Costilla-Reyes, Ruben Vera-Rodriguez, Patricia Scully, and Krikor B Ozanyan. Analysis of spatiotemporal representations for robust footstep recognition with deep residual neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. January 2018.

Omar Costilla-Reyes, Patricia Scully, and Krikor B Ozanyan. Deep neural networks for learning spatiotemporal features from tomography sensors. IEEE Transactions on Industrial Electronics, Aug. 2017.

Omar Costilla Reyes, Patricia Scully, and Krikor B. Ozanyan. Temporal Pattern Recognition in Gait Activities Recorded with a Footprint Imaging Sensor System. IEEE Sensors Journal, Dec. 2016.

BOOK CHAPTERS
Costilla-Reyes O., Vera-Rodriguez R., Alharthi A.S., Yunas S.U., Ozanyan K.B. (2020) Deep Learning in Gait Analysis for Security and Healthcare. In: Deep Learning: Algorithms and Applications. Studies in Computational Intelligence, vol 865. Springer

INTERNATIONAL CONFERENCES PAPERS
Omar Costilla Reyes, Andre Bastos, Earl K. Miller. Pattern recognition of deep and superficial layers of the macaque brain using large-scale local field potentials. Cognitive Computational Neuroscience Conference 2019.

Andre Bastos, Omar Costilla Reyes, Earl K. Miller. Automatic methods for cortex-wide layer identification of electrophysiological signals reveals a cortical motif for the expression of neuronal rhythms. Cognitive Computational Neuroscience Conference 2019.

Omar Costilla-Reyes, Patricia Scully, and Krikor B Ozanyan. Towards floor sensors to flag cognitive decline thresholds. In Proc. of Movement, Brain, Body and Cognition international conference 2018 (in press).

Omar Costilla-Reyes, Patricia Scully, and Krikor B Ozanyan. Age-sensitive differences in single and dual walking tasks from footprint imaging floor sensor data. In Proc. of 2017 IEEE Sensors conference, IEEE, 2017.

Omar Costilla-Reyes, Zachary Coldrick and Bruce Grieve. Unsupervised learning for spectral data analysis as a novel sensor for identifying rodent infestation in urban environments. In Proc. of 2017 IEEE Sensors conference, IEEE, 2017.

Omar Costilla-Reyes, Ruben Vera-Rodriguez, Patricia Scully, and Krikor B Ozanyan. Spatial footstep recognition by convolutional neural networks for biometric applications. In Proc. of 2016 IEEE Sensors conference. IEEE, 2016.

Omar Costilla-Reyes, Patricia Scully, and Krikor B Ozanyan. Temporal pattern recognition for gait analysis applications using an "intelligent carpet" system. In Proc. of 2015 IEEE Sensors conference. 2015.

Omar Costilla-Reyes and Kamesh Namuduri. Dynamic wi-fi fingerprinting indoor positioning system. In Indoor Positioning and Indoor Navigation (IPIN), 2014 International Conference on, pages 271– 280. 2014.

Omar Costilla-Reyes, Rajeev Azad, Garima Saxena and Joseph Helsing. Comparison of Machine Learning Algorithms for Identifying Cancer Types, MidSouth Computational Biology and Bioinformatics Society, 2014 international conference, 2014.

Patricia Scully, Jose Cantoral-Ceballos, John Vaughan, Omar Costilla-Reyes, et all. iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility. in Proceedings of 24th International Conference on Plastic Optical Fibres. Nürnberg, Germany, 24th International Conference in Plastic Optical Fibres (POF 2015), Nuremberg, Germany, 22-24 September.