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• University of Texas Regents' Outstanding Teaching Award (ROTA) - University of Texas System (08/01/2019-08/31/2019)
• College of Engineering Faculty Marshall (05/01/2019-05/31/2019)
• Office of Research and Sponsored Projects Outstanding Performance Award - University of Texas at El Paso (04/14/2010)

• Ph D in Computer Science, University of Nantes (2003)
• Computer Science, University of Nantes (1999)
• MS in Mathematics, University of Nantes (1997)

• How Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
• Preface to the book "How Uncertainty-Related Ideas Can Provide Theoretical Explanation for Empirical Dependencies" Springer (2021), Martine C. Ceberio, Vladik Y. Kreinovich.
• Quantum Computing as a Particular Case of Computing With Tensors Springer (2021), Martine C. Ceberio, 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.
• Equations for Which Newton's Method Never Works: Pedagogical Example Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2020), Leobardo Valera, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Information Processing 2020 Springer (in press), Barnabas Bede, Martine C. Ceberio, Martine De Cock, 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, Redmond, Washington, August 20-22, 2020 (2020), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Let Us Use Negative Examples in Regression-Type Problems Too Proceedings of the 24th International Conference on Information Visualisation IV'2020, Vienna and Melbourne, September 7-11, 2020 (2020), Jonathan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
• Optimal search under constraints Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Abstracts of the Second International Conference on Artificial Intelligence and Computational Intelligence AICI'2021, Hanoi, Vietnam, January 15-16, 2021, (2020), Vladik Y. Kreinovich, Martine C. Ceberio, Olga M. Kosheleva.
• White- and Black-Box Computing and Measurements under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies -- Robotic Boat and Hierarchical Covid Testing Proceedings of the 2nd Information-Communication Technologies & Embedded Systems Workshop ICT&ES'2020, Mykolaiv, Ukraine, November 12, 2020 (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Decision Making under Constraints Springer (2020), Martine C. Ceberio, Vladik Y. Kreinovich.
• How Quantum Computing Can Help With (Continuous) Optimization Springer (2020), Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2020, Redmond, Washington, August 20-22, 2020 (2020), Ricardo Alvarez, Nik Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
• If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time International Journal of Unconventional Computing 15 3 (2020), Ricardo Alvarez, Nick Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
• Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Reverse Mathematics Is Computable for Interval Computations Springer (2020), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Burgers Equation: Symmetry-Based Approach Springer (2020), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
• Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas Springer (2020), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation Springer (2020), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread Springer (2020), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints Springer (2020), Chitta Baral, Martine C. Ceberio, Vladik Y. Kreinovich.
• When We Know the Number of Local Maxima, Then We Can Compute All of Them Springer (in press), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
• Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence SSCI'2019, Xiamen, China, December 6-9, 2019 (2019), Oscar Galindo, Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
• Fuzzy Teachniques: Theory and Applications Springer (2019), Ralph B. Kearfott, Ildar Batyrshin, Marek Reformat, Martine C. Ceberio, Vladik Y. Kreinovich.
• How Quantum Computing Can Help With (Continuous) Optimization Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2019 (2019), Christian Ayub, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence SSCI'2019, Xiamen, China, December 6-9, 2019 (2019), Vladik Y. Kreinovich, Martine C. Ceberio, Ricardo Alvarez.
• Preface to a special issue on uncertainty Journal of Uncertain Systems 13 2 (2019), Martine C. Ceberio, Vladik Y. Kreinovich.
• Preface to special issue on uncertainty Journal of Uncertain Systems 13 (in press), Martine C. Ceberio, Vladik Y. Kreinovich.
• Scale Invariance Explains Quadratic Damping: Case of Insect Wings Flapping Journal of Uncertain Systems 13 3 (2019), Angel Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Luc Longpré.
• Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account?2 Proceedings of the World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019, Lafayette, Louisiana, June 18-22, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• In its usual formulation, fuzzy computation is, in general, NP-hard, but a more realistic formulation can make it feasible Proceedings of the IEEE International Conference on Fuzzy Systems FUZZ-IEEE'2019, New Orleans, Louisiana, June 23-26, 2019 (2019), Martine C. Ceberio, Olga M. Kosheleva, Luc Longpré, Vladik Y. Kreinovich.
• A review of "A Tale of Seven Scientists and a New Philosophy of Science" by E. Scerri Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Constructivism: Theory, Perspectives And Practice" by C. T. Fosnot (ed.) Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Drive: The Surprising Truth about What Motivates Us" by D. H. Pink Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Factorizations of algebraic integers, block monoids, and additive number theory" by P. Baginski and S. T. Chapman, "Irreducible factorization lengths and the elasticity problem within N", by M. O. Jenssen, D. Montealegre, and V. Ponomarenko, and "Non-unique factorization in a class of non-commutative monoids" by E. D. Schwab and G. Schwab Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Life's Greatest Lessons: 20 Things That Matter" by H. Urban Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "Snowball in a Blizzard: A Physician's Notes on Uncertainty in Medicine" by S. Hatch Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The Melanoma Handbook" by S. P. Ariyan and H. Kluger (eds.) and "Melanoma" by J. S. Zager, V. K. Sondak, and R. Kudchadkar (eds.) Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• A review of "The Strategy Paradox: Why Committing to Success Leads to Failure (and What to Do about It)" by M. E. Raynor Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Bellman-Zadeh Fuzzy Optimization Under Interval Uncertainty Abstracts of the 18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2018, Tokyo, Japan, September 10-15, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Efficiently Compute Ranges Over a Difference Between Boxes, With Applications to Underwater Localization Journal of Uncertain Systems 12 3 (2018), Luc Jaulin, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, September 10, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Preface to the special issue on uncertainty Journal of Uncertain Systems 12(3) (2018), Martine C. Ceberio, Vladik Y. Kreinovich.
• Reverse Mathematics Is Computable for Interval Computations Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, Sepetmber 10, 2018 (in press), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• What Is the Economically Optimal Way to Guarantee Interval Bounds in Control? Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Alfredo Vaccaro, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Burgers Equation: Symmetry-Based Approach Proceedings of the 11th International Workshop on Constraint Programming and Decision Making CoProd'2018, Tokyo, Japan, September 10, 2018 (in press), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Store Tensors in Computer Memory: An Observation Mathematical Structures and Modeling 46 (2018), Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Taylor models and modified Taylor models are empirically successful: a symmetry-based explanation Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Mioara Joldes, Christoph Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
• A Modification of Backpropagation Enables Neural Networks to Learn Preferences Journal of Uncertain Systems 12 3 (2018), Martine C. Ceberio, Vladik Y. Kreinovich.
• Algebraic Product is the Only t-Norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant Springer Verlag (2018), Juan Carlos Figueroa-Garcia, Martine C. Ceberio, Vladik Y. Kreinovich.
• Constraint Approach to Multi-Objective Optimization Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Constraint Programming and Decision Making: Theory and Applications Springer Verlag (2018), Martine C. Ceberio, Vladik Y. Kreinovich.
• From Global to Local Constraints: A Constructive Version of Bloch's Principle Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Optimizing pred(25) Is NP-Hard Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Peak-End Rule: A Utility-Based Explanation Springer Verlag (2018), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Range Estimation under Constraints is Computable Unless There Is a Discontinuity Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-Valued Functions (Constraints) Springer Verlag (2018), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Model-Order Reduction Using Interval Constraint Solving Technique. Summited in the Journal of Uncertainty Systems, Vol. 11, 2017 (2017), Leobardo Valera, Martine C. Ceberio.
• A model reduction for highly non-linear problems using wavelets and Gauss-Newton method Advances Fuzzy Sets and Systems (in press), Miguel Argaez, Horacio F. , Osvaldo Mendez, Martine Ceberio.
• Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas Proceedings of the 10th International Workshop on Constraint Programming and Decision Making CoProd'2017, El Paso, Texas, November 3, 2017 (2017), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Constraint Problems: Computability Is Equivalent to Continuity International Journal of Intelligent Technologies and Applied Statistics (IJITAS) 10 2 (2017), Martine C. Ceberio, Vladik Y. Kreinovich.
• Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation Proceedings of the 10th International Workshop on Constraint Programming and Decision Making CoProd'2017, El Paso, Texas, November 3, 2017 (2017), Angel F. Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread Proceedings of the 10th International Workshop on Constraint Programming and Decision Making CoProd'2017, El Paso, Texas, November 3, 2017 (2017), Angel F. Garcia Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• A review of "Resynchronization of circadian oscillators and the east-west asymmetry of jet-lag" by Z. Lu, K. Klein-Cardena, S. Lee, T. M. Antonsen, M. Girvan, and E. Ott Journal of Uncertain Systems 11 (in press), Martine C. Ceberio, Vladik Y. Kreinovich.
• Avoiding Fake Boundaries in Set Interval Computing Journal of Uncertain Systems 11 2 (2017), Anthony Welte, Luc Jaulin, Martine C. Ceberio, Vladik Y. Kreinovich.
• Computability of the Avoidance Set and of the Set-Valued Identification Problem Journal of Uncertain Systems 11 2 (2017), Anthony Welte, Luc Jaulin, Martine C. Ceberio, Vladik Y. Kreinovich.
• How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints Proceedings of the Ninth International Workshop on Constraints Programming and Decision Making CoProd'2016, Uppsala, Sweden, September 25, 2016 (2016), Chitta Baral, Martine C. Ceberio, Vladik Y. Kreinovich.
• Robust Data Processing in the Presence of Uncertainty and Outliers: Case of Localization Problems Proceedings of the IEEE Series of Symposia in Computational Intelligence SSCI'2016, Athens, Greece, December 6-9, 2016 (2016), Anthony Welte, Luc Jaulin, Martine C. Ceberio, Vladik Y. Kreinovich.
• When We Know the Number of Local Maxima, Then We Can Compute All of Them Proceedings of the Ninth International Workshop on Constraints Programming and Decision Making CoProd'2016, Uppsala, Sweden, September 25, 2016 (2016), Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Preface to the special issue on uncertainty Journal of Uncertain Systems 10 (in press), Martine C. Ceberio, Vladik Y. Kreinovich.

• Robust Data Processing in the Presence of Uncertainty and Outliers: Case of Localization Problems (2016), Volume Athens, Greece, Vladik Y. Kreinovich, Anthony Welte, Luc Jaulin, Martine C. Ceberio.
• A model reduction for highly non-linear problems using wavelets and the Gauss-Newton method. (2016), Volume The University of Texas at El Paso, Miguel Argaez, Martine C. Ceberio, Florez H. , Osvaldo Mendez.
• How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking Into Account Known Constraints (2016), Volume Uppsala, Sweden, Chitta Baral, Martine C. Ceberio, Vladik Y. Kreinovich.
• When We Know the Number of Local Maxima, Then We Can Compute All of Them (2016), Volume Uppsala, Sweden, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.

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