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• 2018 NAFIPS Best Thesis Award - North American Fuzzy Information Processing Society (08/01/2018)
• Academic and Research Excellence Graduate Student in Computational Science - University of Texas at El Paso (05/09/2017)
• Academic and Research Excellence Graduate Student in Mathematics - University of Texas at El Paso (05/09/2014)
• Award for Scientific Achievements - Silesian University of Technology, Gliwice, Poland (10/14/2001)

• Ph D in Computational Science, University of Texas at El Paso (2017)
• MS in Computational Science, University of Texas at El Paso (2016)
• MS in Mathematics, University of Texas at El Paso (2014)
• Ph D in Civil Engineering, Silesian University of Technology (2001)
• British Council (1999)
• computer networks, databases, Silesian University of Technology Faculty of Automatic Control, Electronics and Computer Science (1998)
• MS in Applied Mechanics (Fundamental Technological Research), Silesian Technical University Faculty of Mathematics and Physics (1995)

• Autonomous Development of Online Assignments Supported by the Large Language Models Related to Mathematics, Computer Science, and Engineering Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, (2023), Andrzej M. Pownuk, Rama M. Rao.
• Applications of Autonomous Machine Learning Algorithms for Automated Development of Online Assignments 35 GMIS Conference (2023), Andrzej M. Pownuk, E. Fang.
• Finite Element Analysis of Structures using MATLAB BS Publications (2023), Rama M. Rao, Andrzej M. Pownuk.
• Self-organizing Scientific Databases and Related Applications in Automated Development of Online Assignments Abstracts of The 29th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences (2023), Andrzej M. Pownuk, Iwona Skalna, Evelyn Fang .
• Goal Oriented Self-adaptive Development of Online Assignments Based on Autonomous Computational methods Abstracts of the 28th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences (2022), Andrzej M. Pownuk, I. Skalna, M.V. Rama Rao.
• Automated development of the theory of equations with uncertain parameters using self-adaptive and self-learning autonomous systems with the applications for estimation of reliability in engineering Abstracts of the AMS Sectional Meeting (2022), Andrzej M. Pownuk, I. Skalna, M. V. Rama Rao.
• Algebraic Expressions with Uncertain Syntax and Their Applications in Online Learning Abstracts of the 27th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences (2022), Andrzej M. Pownuk, I Skalna.
• Vibration analysis of structures with uncertain parameters—an interval finite element approach 2 (2021), M Rama Rao, Andrzej M. Pownuk.
• Applications of Autonomous Computational Methods and In Online Learning Abstracts of the 26th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, November 06, 2021 (2021), Andrzej M. Pownuk.
• Solution of Algebraic Equations by Using Autonomous Computational Methods Abstracts of the 25th AMS Fall Central Sectional Meeting (2020), Andrzej M. Pownuk.
• Confidential Report U.S. Army CCDC Army Research Laboratory, Adelphi, MD. (2020), Andrzej M. Pownuk.
• Which Value x Best Represents a Sample x1, ..., xn: Utility-Based Approach Under Interval Uncertainty Springer (2020), Andrzej M. Pownuk, Vladik Y. Kreinovich.
• Why Unexpectedly Positive Experiences Make Decision Makers More Optimistic: An Explanation Springer (2020), Andrzej M. Pownuk, Vladik Y. Kreinovich.
• Solution of Algebraic Equations by Using Autonomous Computational Methods Abstracts of the 25th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences (2019), Andrzej M. Pownuk, Jose Gonzalez.
• Solution of Algebraic Equations by Using Self-Adaptive Computational Methods and Machine Learning Abstracts of the 24rd Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences (2019), Andrzej M. Pownuk, Iwona Skalna, C Melton.
• How Interval Measurement Uncertainty Affects the Results of Data Processing: A Calculus-Based Approach to Computing the Range of a Box Mathematical Structures and Modeling 46 (2018), Andrzej M. Pownuk, Vladik Y. Kreinovich.
• When Is Propagation of Interval and Fuzzy Uncertainty Feasible? Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018 (in press), Vladik Y. Kreinovich, Andrzej M. Pownuk, Olga M. Kosheleva, Aleksandra Belina.
• (Hypothetical) negative probabilities can speed up uncertainty propagation algorithms Springer Verlag (2018), Andrzej M. Pownuk, Vladik Y. Kreinovich.
• Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications Springer Verlag (2018), Andrzej M. Pownuk, Vladik Y. Kreinovich.
• Fuzzy Data Processing Beyond Min t-Norm Springer (2018), Andrzej M. Pownuk, Vladik Y. Kreinovich, Songsak Sriboonchitta.
• Towards Decision Making under Interval Uncertainty Journal of Uncertaun Systems 12 3 (2018), Andrzej M. Pownuk, Vladik Y. Kreinovich.

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