• MS in Computer Science (In Progress), The University of Texas at El Paso (2023)
• Ph D in Mathematics, New Mexico State University (2015)
• Ph D in Mathematics, New Mexico State University (2015)
• MS in Mathematics, The University of Texas at El Paso (2009)
• BS in Computer Science, The University of Texas at El Paso (2007)

• Why burst of physical activity is good for your health Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 12, 2025 (2025), Jhonny Gonzalez, Jose Gonzalez, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Linear Faults Have Fewer Earthquakes: A Geometric Explanation Geombinatorics 34 4 (2025), Julio C. Urenda, Aaron A. Velasco, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Squashing Functions in Multi-Layer Neural Networks Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics SMC’2020 (2020), Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Manuel J. Hernandez, Natalia Villanueva-Rosales, Vladik Y. Kreinovich.
• Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Gyorgy Eigner, Vladik Y. Kreinovich.
• Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS’2020 (2020), Julio C. Urenda, Vladik Y. Kreinovich.
• COVID-19 Peak Immunity Values Seem to Follow Lognormal Distribution Applied Mathematical Sciences 14 12 (2020), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich, Tonghui Wang.
• Two Runners in the Time of Social Distancing, Speedboats in the Gulf of Finland: How to Best Pass? International Mathematical Forum 15 7 (2020), Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Spiking Neural Networks Are Efficient: A Theorem Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2020, Lisbon, Portugal, June 15-19, 2020 (2020), Michael Beer, Julio C. Urenda, Olga M. Kosheleva, Vladik Y. Kreinovich.

• Why Rectified Linear Activation Functions? Why Max-Pooling? A Possible Explanation (2021), Volume Tijuana Mexico, Julio C. Urenda.
• A Point-Free Version of the Alexandroff-Hausdorff Theorem (2021), Volume Las Cruces NM, Julio C. Urenda.
• Mexican Folk Arithmetic Algorithm Makes Perfect Sense (2021), Volume Purdue University, Julio C. Urenda.
• Why Squashing Functions in Multi-Layer Neural Networks (2020), Volume Toronto Canada, Julio C. Urenda.

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