Leon Palafox

Leon Palafox

Director of the AI Innovation Lab at GBM. PhD from the University of Tokyo. Lecturer on AI at Universidad Panamericana and columnist at El Financiero.

Publications & Research

🏭 Industry & Technical Analysis

While my early career focused on academic research, my recent work focuses on the intersection of AI strategy, hardware, and sovereignty in the financial and enterprise sectors.

🔬 Academic Journals

  • Avalos-Gauna, Edgar and Palafox, L.F. “Heat Transfer Coefficient Prediction of a Porous Material by Implementing a Machine Learning Model on a CFD Data Set.” Proceedings of the 6th International Conference of Fluid Flow, Heat and Mass Transfer (FFHMT’19), 2019.

  • Savage, Rodrigo, Leon Palafox, et al. “A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images.” IEEE Transactions on Geoscience and Remote Sensing, 2018.

  • Leon Palafox, Christopher W. Hamilton, et al. “Automated Detection of Geological Landforms on Mars using Convolutional Neural Networks”. Computers & Geosciences 101: 48-56, 2017.

  • Pearson, Kyle A., Leon Palafox, and Caitlin A. Griffith. “Searching for exoplanets using artificial intelligence.” Monthly Notices of the Royal Astronomical Society 474.1: 478-491, 2017.

  • He, Bryan D., Mosalam Ebrahimi, Leon Palafox, and Lakshminarayan Srinivasan. “Signal quality of endovascular electroencephalography.” Journal of Neural Engineering 13, no. 1, 2016.

  • Wee-hong Ong, Leon Palafox, and Takafumi Koseki. “Autonomous Learning and Recognition of Human Action based on An Incremental Approach of Clustering”. IEEJ Transactions on Electronics, Informations and Systems, 135(9):1136:1141, 2015.

  • Wee-hong Ong, Leon Palafox, and Takafumi Koseki. “An Incremental Approach of Clustering for Human Activity Discovery”. IEEJ Transactions on Electronics, Informations and Systems, 134(11):1-6, 2014.

  • Nasimul Noman, Leon Palafox, and Hitoshi Iba. “Evolving genetic networks for synthetic biology”. New Generation Computing, 31(2):71-88, 2013.

  • Wee-Hong Ong, Takafumi Koseki, and Leon Palafox. “An Unsupervised Approach for Human Activity Detection and Recognition”. International Journal of Simulation-Systems, Science & Technology, 14(5), 2013.

  • Wee-Hong Ong, Leon Palafox, and Takafumi Koseki. “Investigation of Feature Extraction for Unsupervised Learning in Human Activity Detection”. Bulletin of Networking, Computing, Systems, and Software, 2(1):30-35, 2013.

  • Leon Palafox, H. Iba, and N. Noman. “Reverse Engineering of Gene Regulatory Networks using Dissipative Particle Swarm Optimization”. IEEE Transactions on Evolutionary Computation, 17(4):1-1, 2012.
  • Leon Palafox and Hideki Hashimoto. “4W1H and particle swarm optimization for human activity recognition”. Journal of Advanced Computational Intelligence and Intelligent Informatics, 15(7):793-799, 2011.

🗣️ Peer-Reviewed Conferences

  • Scheidt, S. P., L. F. Palafox, C. W. Hamilton, and J. R. Zimbelman. “Automated Detection of Transverse Aeolian Ridges on Mars Using Convolutional Neural Networks and a Field-Based Terrestrial Orthoimage Training Set.” Fourth Annual International Planetary Dunes Workshop, vol. 1843, p. 8047. 2015.

  • Palafox, L. F., A. M. Alvarez, and C. W. Hamilton. “Automated Detection of Impact Craters and Volcanic Rootless Cones in Mars Satellite Imagery Using Convolutional Neural Networks and Support Vector Machines.” Lunar and Planetary Science Conference, vol. 46, p. 2316. 2015.

  • Nasimul Noman, Leon Palafox, and Hitoshi Iba. “Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution.” Springer Handbook of Bio-/Neuroinformatics, pages 355-373, 2014.

  • Nasimul Noman, Leon Palafox, and Hitoshi Iba. “Reconstruction of Gene Regulatory Networks from Gene Expression Data Using Decoupled Recurrent Neural Network Model.” Natural Computing and Beyond, volume 6, pages 93-103, 2013.

  • Wee Hong Ong, Takafumi Koseki, and Leon Palafox. “Unsupervised human activity detection with skeleton data from RGB-D sensor.” Proceedings - 5th International Conference on Computational Intelligence, Communication Systems, and Networks (CICSyN), pages 30-35, 2013.

  • Leon Palafox. “Extending Population Based Incremental Learning using Dirichlet Processes.” Information Sciences, pages 1686-1693, 2013.

  • Leon Palafox, Nasimul Noman, and Hitoshi Iba. “Study on the Use of Evolutionary Techniques for Inference in Gene Regulatory Networks.” Natural Computing and Beyond, pages 82-92, 2013.

  • N Noman, Leon Palafox, and Hitoshi Iba. “On Model Selection Criteria in Reverse Engineering Gene Networks Using RNN Model.” Convergence and Hybrid Information Technology, pages 155-164, 2012.

  • Leon Palafox and Hitoshi Iba. “Gene Regulatory Network Reverse Engineering using Population Based Incremental Learning and K-means.” Genetic and Evolutionary Computation Conference, 2012.

  • Leon Palafox and Hitoshi Iba. “On the use of Population Based Incremental Learning to do Reverse Engineering on Gene Regulatory Networks.” IEEE Congress on Evolutionary Computation (CEC), 2012.

  • Vishal Soam, Leon Palafox, and Hitoshi Iba. “Multi-objective portfolio optimization and rebalancing using genetic algorithms with local search.” IEEE Congress on Evolutionary Computation (CEC), 2012.

  • Leon Palafox, Laszlo a. Jeni, and Hideki Hashimoto. “Using conditional random fields to validate observations in a 4W1H paradigm.” 4th International Conference on Human System Interaction (HSI), pages 80-84, 2011.

  • Leon Palafox, Laszlo a. Jeni, Hideki Hashimoto, and Beom H. Lee. “5W1H as a human activity recognition paradigm in the iSpace.” 8th Asian Control Conference (ASCC), pages 712-718, 2011.

  • Peshala G Jayasekara, Leon Palafox, et al. “Simultaneous localization assistance for multiple mobile robots using particle filter based target tracking.” Fifth International Conference on Information and Automation for Sustainability, pages 469-474, 2010.

  • Leon Palafox and Hideki Hashimoto. “Human action recognition using wavelet signal analysis as an input in 4W1H.” 8th IEEE International Conference on Industrial Informatics (INDIN), pages 679-684, 2010.

  • Leon Palafox and Hideki Hashimoto. “Human Action Recognition using 4W1H and Particle Swarm Optimization Clustering.” Sensors (Peterborough, NH), pages 369-373, 2010.

  • Leon Palafox and Hideki Hashimoto. “A compressive sensing approach to the 4W1H architecture.” IEEE International Conference on Industrial Technology, pages 1599-1603, 2010.

  • Leon Palafox and Hashimoto Hideki. “A movement profile detection system using self organized maps in the intelligent space.” IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), pages 114-118, 2009.