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• Ph D in Computer Engineering, University of Texas at El Paso (2003)
• MS in Computer Science, University of Texas at El Paso (1994)
• Other in Radioastronomy, Special Astrophysical Observatory (1982)
• MS in Mathematics and Applied Mathematics, Novosibirsk University (1978)

• Deep Learning (Partly) Demystified Proceedings of the 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence ISMSI'2020, Thimpu, Bhutan, March 21-22, 2020 (2020), Vladik Y. Kreinovich, Olga M. Kosheleva.
• How to Make a Decision Based on the Minimum Bayes Factor (MBF): Explanation of the Jeffreys Scale Springer (2020), Vladik Y. Kreinovich, Olga M. Kosheleva, Nguyen D. Trung, Kittawit Autchariyapanitkul.
• Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Version) Springer (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
• Rnking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions) Abstracts of the 13th International Conference of Thailand Econometic Society, Chiang Mai, Thailand. January 8-10, 2020 (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Guo Wei.
• Why Beta Priors: Invariance-Based Explanation Springer (2020), Olga M. Kosheleva, Vladik Y. Kreinovich, Kittawit Autchariyapanitkul.

• Derivation of Gross-Pitaevskii Version of Nonlinear Schroedinger Equation from Scale Invariance (2017), Volume Las Cruces, New Mexico, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES (2017), Volume Chiang Mai, Thailand, Olga M. Kosheleva, Vladik Y. Kreinovich, Thongchai Dumrongpokaphan.
• Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas (2017), Volume Chaing Mai, Thailand, Olga M. Kosheleva, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach (2016), Volume Da Nang, Veitnam, Vladik Y. Kreinovich, Ildar Batyrshin, Thongchai Dumrongpokaphan, Olga M. Kosheleva.
• Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions (2016), Volume Da Nang, Vietnam, Songsak Sriboonchitta, Olga M. Kosheleva, Vladik Y. Kreinovich, Hung T. Nguyen.

• CCLI Phase 2: Increasing Attractiveness of Computing: The Design and Evaluation of Introductory Computing Coursework that Elicits Creativity
• Enhancing mathematical and pedagogical content knowledge of future teachers
• Enhancing Undergraduate Students Mathematics Education
• Project TNE-MEET: A Study of the Impacts of Technology Resources on UTEP Pre-Service Teacher's Mathematics Contents and Pedagogy Development
• Strength in Math