Source: http://cs.utep.edu/vladik/
Timestamp: 2019-04-23 08:21:21+00:00

Document:
Member, Editorial Board, International Journal of Reliable Computing, "International Journal of Approximate Reasoning", "International Journal of General Systems", "Journal of Advanced Computational Intelligence and Intelligent Informatics", "Journal of Intelligent and Fuzzy Systems", "Journal of Applied Statistics and Intelligent Technology", and "Soft Computing"
Member, Program Committees of Conferences in Interval Computations (SCAN'2018, SCAN'2016, SCAN'2014, etc.) and Fuzzy Logic and Intelligent Control (FUZZ-IEEE'2019, IFSA/NAFIPS'2019, FUZZ-IEEE'2018, IPMU'2018, NAFIPS'2017, FUZZ-IEEE'2017, IFSA'2017, NAFIPS'2016, IPMU'2016, etc.).
El Paso representative of Berkeley Initiative in Soft Computing (BISC).
Outstanding Paper Award, Joint Annual Conference of the North American Fuzzy Information processing Society NAFIPS'2015 and 5th World Conference on Soft Computing, Redmond, Washington, August 17-19, 2015.
Best 2014 Individual Paper, International Journal of General Systems.
Excellent Paper Award, 11th International Symposium on Management Engineering ISME'2014, Kitakyushu, Japan, July 27-30, 2014.
Best Student Interval Paper Award, Joint World Congress of the International Fuzzy Systems Association and an Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2013, Edmonton, Canada, June 24-28, 2013.
Best Paper Award, 2012 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2012, Berkeley, California, August 6-8, 2012.
Best Paper Award, 2011 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2011, El Paso, Texas, March 18-20, 2011.
Meritorious Paper Award, 2010 International Conference of the North American Fuzzy Information Processing Society NAFIPS'2010, Toronto, Canada, July 12-15, 2010.
Best Paper Award, 1st Latin-American Workshop on Non-Monotonic Reasoning LA-NMR'2004, Mexico City, Mexico, April 26, 2004.
Personal Interface AccessGrid, Award from the Education, Outreach and Training Partnership for Advanced Computational Infrastructure EOT-PACI, 2003.
In interval computations, I am looking for general (feasible) methods to estimate the accuracy of the results of data processing algorithms. I am also interested in the mathematical foundations of intelligent control, with the goal of finding the optimal way to transform expert operator's knowledge into the actual control strategy.
V. Kreinovich, "Solving equations (and systems of equations) under uncertainty: how different practical problems lead to different mathematical and computational formulations", Granular Computing, 2016, Vol. 1, No. 3, pp. 171-179.
V. Kreinovich and S. Shary, "Interval methods for data fitting under uncertainty: a probabilistic treatment", Reliable Computing, 2016, Vol. 23, pp. 105-141.
C. Servin and V. Kreinovich, Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-Related Data Processing and Data Fusion, Springer Verlag, Berlin, Heidelberg, 2015.
V.-N. Huynh, V. Kreinovich, S. Sriboonchitta, and K. Suriya (eds.), Econometrics of Risk, Springer Verlag, Berlin, Heidelberg, 2015.
L. Thompson, A. Velasco, V.Kreinovich, "Construction of ShearWave models by applying multi-objective optimization to multiple geophysical data sets", In: G. O. Tost and O. Vasilieva (eds.), Analysis, Modelling, Optimization, and Numerical Techniques, Springer Verlag, Berlin, Heidelberg, 2015, pp. 309-326.
A. Jalal-Kamali, M. S. Hossain, and V. Kreinovich, "How to Understand Connections Based on Big Data: From Cliques to Flexible Granules", In: S.-M. Chen et al. (eds.), Information Granularity, Big Data, and Computational Intelligence, Springer, Cham, 2015, pp. 63-87.
V. Kreinovich, "Interval computations and interval-related statistical techniques", In: F. Pavese et al. (eds.), Advanced Mathematical and Computational Tools in Metrology and Testing, World Scientific, Singapore, 2015, pp. 38-49.
V. Kreinovich, "Decision Making under Interval Uncertainty (and beyond)", In: P. Guo and W. Pedrycz (eds.), Human-Centric Decision-Making Models for Social Sciences, Springer Verlag, 2014, pp. 163-193.
M. Beer, S. Ferson, and V. Kreinovich, "Imprecise probabilities in engineering analyses", Mechanical Systems and Signal Processing, 2013, Vol. 37, pp. 4-29.
M. Stein, M. Beer, and V. Kreinovich, "Bayesian Approach for Inconsistent Information", Information Sciences, 2013, Vol. 245, No. 1, pp. 96-111.

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