No info available.

• Change Makers Women in Tech - El Paso Matters and Progress321 (03/27/2024)
• K. S. Fu award - North American Fuzzy Information Processing Society (NAFIPS) (06/01/2023-06/30/2023)
• Endowed Fellowship - AT&T (09/01/2021-09/30/2021)
• UT System Academy of Distinguished Teachers, Fellow - UT System Academy of Distinguished Teachers (04/01/2020-04/30/2020)
• 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)
• BS in Mathematics, University of Poitiers (1995)

• Data Fusion Is More Complex Than Data Processing: A Proof Abstracts of the NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Science, Las Cruces, New Mexico, April 6, 2024 (2024), Robert Alvarez, Salvador Ruiz , Martine C. Ceberio, Vladik Y. Kreinovich.
• Just-in-accuracy: mobile approach to uncertainty Journal of Mobile Multimedia 20 3 (in press), Martine C. Ceberio, Christoph Q. Lauter, Vladik Y. Kreinovich.
• Complex-Valued Interval Computations Are NP-Hard Even for Single Use Expressions Proceedings of the 2023 Annual Conference of North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva, Guenter Mayer.
• Faster Algorithms for Estimating the Mean of a Quadratic Expression under Uncertainty Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva, Lev Ginzburg.
• How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (ILBT) Follow from Scale Invariance Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Palvi Aggarwal, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2023, Cincinnati, Ohio, May 31 - June 2, 2023 (2023), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Uncertainty Quantification for Results of AI-Based Data Processing: Towards Feasible Algorithms Abstracts of International Conference on Advanced Mathematical Tools in Metrology and Testing AMCTM 2023, online, September 26-28, 2023 (2023), Christoph Q. Lauter, Martine C. Ceberio, Vladik Y. Kreinovich, Olga M. Kosheleva.
• Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation Abstracts of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (2023), Lehel Denes-Fazakas, Laszlo Szilagyi, Gyorgy Eigner, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (in press), Lehel Denes-Fazakas, Laszlo Szylagyi, Gyorgy Eigner, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation Abstracts of the IEEE Series of Symposia on Computational Intelligence SSCI 2023, Mexico City, Mexico, December 6-8, 2023 (2023), Orsolya Csiszar, Gabor Csiszar, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• An Argument in Favor of Piecewise-Constant Membership Functions Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Computational Paradox of Deep Learning: A Qualitative Explanation Springer (2023), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm Springer (2023), Salvadot Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
• Data Processing under Fuzzy Uncertainty: Towards More Accurate Algorithms Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Epistemic vs. Aleatory: Case of Interval Uncertainty Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set Springer (2023), Juan Carlos Figueroa Garcia, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Get the Most Accurate Measurement-Based Estimates Springer (2023), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Springer (2023), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Select a Representative Sample for a Family of Functions? Springer (2023), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
• One More Physics-Based Explanation for Rectified Linear Neurons Springer (2023), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• Search Under Uncertainty Should be Randomized: A Lesson From the 2021 Nobel Prize in Medicine Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
• Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Which Interval-Valued Alternatives Are Possibly Optimal If We Use Hurwicz Criterion Springer (2023), Marina Tuyako Mizukoshi, Weldon Lodwick, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success Springer (2023), Barnabas Bede, Marina Tuyako Mizukoshi, Martine C. Ceberio, Vladik Y. Kreinovich, Weldon Lodwick.
• Decision Making under Uncertainty and Constraints: A Why-Book Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
• Preface to the book "Decision Making under Uncertainty and Constraints: A Why-Book" Springer (2023), Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Springer (2023), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Model Order Reduction Springer (2023), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Rectified Linear Neurons: Two Convexity-Related Explanations Springer (2023), Jonathan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• Comparison of Higher-Order Approximations to Solve Dynamical Systems using Interval Constraint Solving (2022), Martine C. Ceberio, Angel F. Garcia Contreras.
• Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Salvador Robles, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• How to Select a Representative Sample for a Family of Functions? Proceedings of the 15th International Workshop on Constraint Programming and Decision Making CoProD'2022, Halifax, Nova Scotia, Canada, May 30, 2022 (2022), Leobardo Valera, Martine C. Ceberio, Vladik Y. Kreinovich.
• Interval Papers at the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
• Interval-Related Papers at the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
• Interval-Related Papers at the 2022 IEEE World Congress on Computational Intelligence IEEE WCCI'2022 Reliable Computing 29 (2022), Martine C. Ceberio, Vladik Y. Kreinovich.
• Towards Optimal Techniques Intermediate Between Interval and Affine, Affine and Taylor Mathematical Structures and Modeling 61 (2022), Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• When Is Deep Learning Better and When Is Shallow Learning Better: Qualitative Analysis International Journal of Parallel, Emergent and Distributed Systems (2022), Salvador Robles Herrera, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2022), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Rectified Linear Neurons: Two Convexity-Related Explanations Abstracts of the Third International Conference on Artificial Intelligence and Computational Intelligence AICI'2022, Hanoi, Vietnam, January 14-15, 2022 (2022), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich, Phuong H. Nguyen.
• "Negative" Results -- When the Measured Quantity Is Outside the Sensor's Range -- Can Help Data Processing Springer (2022), Jonatan Contreras, Francisco Zapata, Olga M. Kosheleva, Vladik Y. Kreinovich, Martine C. Ceberio.
• 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 (2022), Leobardo Valera, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Fuzzy Information Processing 2020 Springer (2022), 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 (2022), Julio C. Urenda, Olga M. Kosheleva, Martine C. Ceberio, Vladik Y. Kreinovich.
• 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 (2022), Martine C. Ceberio, Olga M. Kosheleva, 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 (2022), Ricardo Alvarez, Nik Sims, Christian Servin, Martine C. Ceberio, Vladik Y. Kreinovich.
• How to Best Write Research Papers: Basic English? Sophisticated English? Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Martine C. Ceberio, Christian Servin, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Dilated Convolutional Neural Networks: A Proof of Their Optimality Entropy 23 (2021), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? Abstracts of the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'2021, West Lafayette, Indiana, June 7-9, 2021 (2021), Kelly Cohen, Laxman Bokati, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Gradient Descent -- Not the Best Optimization Technique -- Works Best in Neural Networks: Qualitative Explanation Journal of Combinatorics, Information, and System Sciences JCISS 45 1-4 (2021), Jonatan Contreras, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation Proceedings of the 14th International Workshop on Constraint Programming and Decision Making CoProd'2021, Szeged, Hungary, September 12, 2021 (2021), Julio Urenda, Martine C. Ceberio, Olga M. Kosheleva, Vladik Y. Kreinovich.
• Why rectified linear neurons: a possible interval-based explanation Abstracts of the 19th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computation SCAN'2021, Szeged, Hungary, September 13-15, 2021 (2021), Jonatan Contreras, Martine C. Ceberio, Vladik Y. Kreinovich.
• 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.
• What If We Use Almost-Linear Functions Instead of Linear Ones as a First Approximation in Interval Computations World Scientific (2021), Martine C. Ceberio, Olga M. Kosheleva, 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.
• 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.
• 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 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.
• 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.

• Handling Uncertainty in Dynamical Systems: Challenges and Opportunities (2021), Volume Bratislava Slovakia, Martine C. Ceberio.
• Putting the Focus on Learning (2021), Volume Online, Martine C. Ceberio.
• Reflecting on Reflection: Integrating critical ways of thinking into computer science teaching and learning practice (2021), Volume Online, Martine C. Ceberio.

• RET SITE: Cybersecurity Research Experience for Educators Through Data Science (CREEDS)