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Publication date:
16 June 2024

The Editorial Board / Ildar Batyrshin

Ildar Batyrshin graduated from the Moscow Physical-Technical Institute, Faculty of Control and Applied Mathematics in 1975.

He received his PhD from the Moscow Power Engineering Institute (MPEI TU) in 1983 and Dr.Sci. (habilitation) from the Higher Attestation Committee of Russian Federation in 1996.

He joined the Department of Informatics and Applied Mathematics of Kazan State Technological University (currently National Research Technological University), Kazan, Russia in 1975, and served as the Department Head in 1997-2003.

Since 1999, he was also a leading researcher of the Institute of Problems of Informatics of Academy of Sciences of the Republic of Tatarstan, Russia.

In 2003 he joined the Research Program of Applied Mathematics and Computations of Mexican Petroleum Institute (IMP) as a leading re-searcher and a professor of Postgraduate Education.

He is a visiting professor of the Center for Computing Research of Mexican National Polytechnic Institute (CIC IPN).

He is a Past President of the Russian Association for Fuzzy Systems and Soft Computing, representative of RAFSSoftCom in IFSA council, a member of the Council of the Mexican Society for Artificial Intelligence, Senior Member of IEEE Computational Intelligence Society.

He is a member of editorial boards of several scientific journals: Journal of Intelligent and Fuzzy Systems, Acta Polytechnica Hungarica,Programmnye Produkty i Sistemy, Polibits, Computacion y Sistemas, Fuzzy Systems and Soft Computing.

Awards: Research Level 2 of the National System of Researchers of Mexico; Annual Best Research Prize of Mexican Petroleum Institute for the Development of Expert System in Diagnostics of Water Production (SMART-Agua) (2007); Honorary Professor of Budapest Tech (currently Obudu University), Hungary; Honorary Researcher of the Republic of Tatarstan, Russia; State Research Fellowship of the Presidium of Russian Academy of Sciences for Distinguished Researchers (1997-2003).

He served as a Co-Chair of 9 International Conferences on Soft Computing, Artificial Intelligence and Computational Intelligence.

He is a co-author and co-editor of 20 books and special volumes of journal

http://www.millattashlar.ru/index.php/%D0%91%D0%B0%D1%82%D1%8B%D1%80%D1%88%D0%B8%D0%BD_%D0%98%D0%BB%D1%8C%D0%B4%D0%B0%D1%80_%D0%97%D0%B0%D0%BA%D0%B8%D1%80%D0%B7%D1%8F%D0%BD%D0%BE%D0%B2%D0%B8%D1%87

http://xpir.fcntp.ru/person/Batirshin-Ildar-Zakirzyanovich

REFERENCES (2001-2014)

1. Cortés-Antonio P., Rangel-González J., Villa-Vargas L.A., Ramírez-Salinas M.A., Molina-Lozano H., Batyrshin I. Design and implementation of differential evolution algorithm on FPGA for double-precision floating-point representation. Acta Polytechnica Hungarica, Vol. 11, No. 4, 2014, pp. 139-153.

2. Almanza V. H., Batyrshin I., Sosa, G. Multi-criteria selection of an Air Quality Model configuration based on quantitative and linguistic evaluations. Expert Systems with Applications, vol. 41, 2014, pp. 869-876.

3. Batyrshin I., Gonzalez-Mendoza M. Methods and applications of artificial and computational intelligence. Expert Systems with Applications, vol. 41, 2014, pp. 779-780.

4. Batyrshin I., Solovyev V. Positive and negative local trend association patterns in analysis of associations between time series. In: MCPR 2014. Lecture Notes on Computer Science, Springer, vol. 8495, 2014, pp. 92–101.

5. Hernández Zavala A., Batyrshin I.Z., Camacho Nieto O., Castillo O. Conjunction and disjunction operations for digital fuzzy hardware. Applied Soft Computing, vol. 13, 7, 2013, pp. 3248–3258.

6. Batyrshin I.Z., Rudas I.J., Villa L.A., Cortés Antonio P. On the monotone sum of basic t-norms in the construction of parametric families of digital conjunctors for fuzzy systems with reconfigurable logic. Knowledge Based Systems, vol. 38, 2013, pp. 27-36.

7. Batyrshin I. Association measures and aggregation functions. In: Advances in Soft Computing and Its Applications. Lecture Notes in Computer Science, vol. 8266, 2013, pp. 194-203.

8. Batyrshin I. Constructing time series shape association measures: Minkowski distance and data standardization. Proceedings, 1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013, 8-11 September 2013, Recife (Porto de Galinhas Beach), Brazil, pp. 204-212. IEEE Computer Society, Conference Publishing Services (CPS). IEEE Computer Society Order Number E3194, BMS Part Number CFP1364W-ART, ISBN 978-1-4799-3194-1. (pdf)

9. Batyrshin I. A Retrospective Glance from Russia at Wonderland of Fuzziness. In: R. Seising, E. Trillas, S. Termini, Moraga (Eds). On Fuzziness. Studies in Fuzziness and Soft Computing, vol. 298, 2013, pp 31-38.

10. Hernández Zavala A., Batyrshin I., Camacho Nieto O., Rudas I.J., Sidorov G., Villa L.A. On generation and FPGA implementation of digital fuzzy parametric conjunctions. Applied and Computational Mathematics, vol. 11, N 2, 2012, pp. 150-164.

11. Cosultchi A., Sheremetov L., Velasco-Hernandez J., Batyrshin I. A method for aquifer identification in petroleum reservoirs: A case study of Puerto Ceiba oilfield. Journal of Petroleum Science and Engineering, v. 94-95, 2012, pp. 55-65.

12. Batyrshin I. Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns. Lecture Notes on Computer Science, vol. 7329, pp. 246–254, 2012. Springer-Verlag, Berlin Heidelberg.

13. Batyrshin I., Bulgakov I., Hernandez A.-L., Huitron C., Chi M., Raimundo A., Cosultchi A. VMD-Petro: Visualization and data mining tool for oilfields. Workshop on Operations Research and Data Mining, ORADM 2012, Cancun, pp. 140–148, 2012.

14. Batyrshin I., Sheremetov L., Velasco-Hernandez J.X. On axiomatic definition of time series shape association measures. Workshop on Operations Research and Data Mining, ORADM 2012, Cancun, 2012, pp. 117–127.

15. Sheremetov L., Batyrshin I., Martinez-Munoz J. Design of fuzzy knowledge based systems with multi-set confidence models. IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9-12 Oct. 2011, Anchorage, AK, USA, pp. 290 - 295.

16. Batyrshin I. Uncertainties with memory in construction of strict monotonic t-norms and t-conorms for finite ordinal scales: basic definitions and applications. Applied and Computational Mathematics, vol. 10, 3, 2011, pp. 498-513.

17. Cortés Antonio P., Batyrshin I., Molina Lozano H., Ramírez Salinas M.A., Villa Vargas L. FPGA implementation of fuzzy Mamdani system with parametric conjunctions generated by monotone sum of basic t-norms. Polibits, vol. 44, 2011, pp. 53-58.

18. Almanza V., Batyrshin I. On trend association analysis of time series of atmospheric pollutants and meteorological variables in Mexico City Metropolitan Area. Lecture Notes on Computer Science, vol. 6718, 2011, pp. 95–102. Springer-Verlag, Berlin Heidelberg.

19. Sheremetov L., Cosultchi A., Batyrshin A., Velasco-Hernandez J. Application of pattern recognition techniques to hydrogeological modeling of mature oil fields. Lecture Notes on Computer Science, vol. 6718, 2011, pp.85-94. Springer-Verlag Berlin Heidelberg.

20. Cortés Antonio P., Batyrshin I.Z., Villa Vargas L.A., Rudas I., Molina Lozano H. FPGA Implementation of (p,I-p)-monotone sum of basic t-norms. Proceedings of the World Conference on Soft Computing, San Francisco, USA, May 23-26, 2011.

21. Batyrshin I.Z. Digital fuzzy logic with parametric conjunction operations in hardware implementation of reconfigurable fuzzy systems. (Plenary report). In: Integrated Models and Soft Computing in Artificial Intelligence, vol. 1 , pp. 50-53, 2011, Fizmatlit, Moscow

22. Cortés Antonio P., Batyrshin I., Molina Lozano H., Villa Vargas L.A., Rudas I. FPGA Implementation of fuzzy system with parametric membership functions and parametric conjunctions. Lecture Notes on Artificial Intelligence, vol. 6438, pp. 487 – 499, 2010, Springer-Verlag, Berlin, Heidelberg,

23. Cortés Antonio P., Batyrshin I., Rudas I., PanovaA., Villa Vargas L.A. FPGA implementation of (p)-monotone sum of basic t-norms. WCCI 2010, IEEE World Congress on Computational Intelligence, FUZZ-IEEE, July, 18-23, 2010, Barcelona, Spain, pp. 1491-1497.

24. Lovassy R., Hernandez Zavala A., Gal L., Camacho Nieto O., Koczy L.T., Batyrshin I. Hardware implementation of fuzzy flip-flops based on Lukasiewicz norms,Proceedings of the 9th WSEAS Int. Conference on Applied Computer and Applied Computational Science (ACACOS’10), Hangzhou, China, April 11-13, 2010, pp. 196- 201.

25. Beltran-Oviedo T.A., Batyrshin I., Domınguez J.M. The optimal design of experiments (ODOE) as an alternative method for catalysts libraries optimization.Catalysis Today, v. 148, 2009, pp. 28–35.

26. Batyrshin I., Sheremetov L. Perception based time series data mining in intelligent decision making systems. Ipek Yolu, 2, 2009, pp. 68-74.

27. Rudas I.J., Batyrshin I.Z., Hernández Zavala A., Camacho Nieto O., Villa Vargas L. Digital fuzzy parametric conjunctions for hardware implementation of fuzzy systems. In: ICCC2009, IEEE 7th International Conference on Computational Cybernetics, November 26-29, 2009, Palma de Mallorca, Spain, pp. 157 – 166.

28. Batyrshin I.Z., Rudas I.J., Panova A. On generation of digital fuzzy parametric conjunctions. Studies in Computational Intelligence, vol. 243, 2009, pp. 79-89, Springer-Verlag, Berlin Heidelberg.

29. Sheremetov L., Batyrshin I., Chi M., Rosas A. Knowledge-based collaborative engineering of pipe networks in the upstream and downstream petroleum industry. Computers in Industry, vol. 59, 9, 2008, pp. 936-948.

30. Batyrshin I.Z., Sheremetov L.B. Perception-based approach to time series data mining. Applied Soft Computing, vol. 8, 3, 2008, pp. 1211–1221.

31. Sheremetov L., Batyrshin I., Filatov D., Martinez J., Rodriguez H. Fuzzy Expert System for Solving Lost Circulation Problem. Applied Soft Computing, vol. 8, 2008, pp. 14-29.

32. Batyrshin I., Sudkamp T. Perception based data mining and decision support systems. International Journal of Approximate Reasoning. vol. 48, 1, 2008, pp. 1-3.

33. Batyrshin I.Z., Cosultchi A., Sheremetov L.B., Klimova A.S., Panova A.M. Analysis of oil well interference based on hybrid clustering of time series of well productivity. Journal of Fuzzy Systems and Soft Computing, vol. 2, N 4, 2007, pp. 63-73

34. Klimova A.C., Batyrshin I.Z. Hybrid clustering based on relational scheme of invariant clustering procedures. Vestnik TVGU. Series Applied Mathematics, vol. 7, 2007, pp. 27-42

35. Batyrshin I.Z., Sheremetov L.B. Models and methods of perception based time series data mining for decision support systems. Journal of Fuzzy Systems and Soft Computing, vol. 2, 1, 2007, pp. 29 – 52.

36. Sheremetov L., Cosultchi A., Batyrshin I., Martínez-Muñoz J., Berumen S. New Insights and Applications of Soft Computing on Analysis of Water Production from Oil Reservoirs. SPE 108702, SPE International, 2007. 2nd International Oil Conference and Exhibition in Mexico, June 27 - 30, 2007, Veracruz, Mexico, Society of Petroleum Engineers.

37. Batyrshin I.Z., Sheremetov L.B. Perception based time series data mining for decision making. Advances in Soft Computing, vol. 42, 2007, 209-219.

38. Batyrshin I., Herrera-Avelar R., Sheremetov L., Panova A. Moving Approximation Transform and Local Trend Associations in Time Series Data Bases. In:Batyrshin, I.; Kacprzyk, J.; Sheremetov, L.; Zadeh, L.A. (Eds.). Perception-based Data Mining and Decision Making in Economics and Finance. Series: Studies in Computational Intelligence, vol. 36. 2007, pp. 55-83, Springer.

39. Batyrshin I., Sheremetov L., Herrera-Avelar R. Perception Based Patterns in Time Series Data Mining. In: Batyrshin, I.; Kacprzyk, J.; Sheremetov, L.; Zadeh, L.A. (Eds.). Perception-based Data Mining and Decision Making in Economics and Finance. Series: Studies in Computational Intelligence, vol. 36. 2007, 85-118, Springer.

40. Batyrshin I., Sheremetov L. Perception Based Functions in Qualitative Forecasting. In: Batyrshin, I.; Kacprzyk, J.; Sheremetov, L.; Zadeh, L.A. (Eds.). Perception-based Data Mining and Decision Making in Economics and Finance. Series: Studies in Computational Intelligence, vol. 36. 2007, 119-134, Springer.

41. Batyrshin I., Rudas T. Invariant Hierarchical Clustering Schemes. In: Batyrshin, I.; Kacprzyk, J.; Sheremetov, L.; Zadeh, L.A. (Eds.). Perception-based Data Mining and Decision Making in Economics and Finance. Series: Studies in Computational Intelligence, vol. 36. 2007, 181-206, Springer.

42. Batyrshin I.Z., Sheremetov L.B. Perception based time series data mining for decision making. In: Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Series: Advances in Soft Computing, vol. 42, 2007, 209-219.

43. Batyrshin I., Sheremetov L. Towards Perception Based Time Series Data Mining. In: Nikravesh, Masoud; Kacprzyk, Janusz; Zadeh, Lotfi A. (Eds.). Forging New Frontiers: Fuzzy Pioneers I. Series: Studies in Fuzziness and Soft Computing, vol. 217, 2007, 217-230.

44. Batyrshin I., Sheremetov L., Markov M., Panova A. Hybrid Method for Porosity Classification in Carbonate Formations. Journal of Petroleum Science and Engineering, vol 47/1-2, 2005, pp. 35-50.

45. Batyrshin I. On linguistic representation of quantitative dependencies. Expert Systems with Applications, vol. 26, 1, 2004, 95-104. (pdf)

46. Batyrshin I. On the structure of involutive, contracting and expanding negations. Fuzzy Sets and Systems, vol. 139, 3, 2003, 661 - 672. (pdf)

47. Batyrshin I., Wagenknecht, M. Towards a linguistic description of dependencies in data. Int. J. Appl. Math. Comput. Sci., vol.12, No.3, 2002, pp. 391–401. (pdf)

48. Batyrshin I. On granular derivatives and the solution of a granular initial value problem. Int. J. Appl. Math. Comput. Sci., Vol.12, No.3, 2002, pp. 403–410. (pdf)

49. Batyrshin I., Kaynak O., Rudas I. Fuzzy modeling based on generalized conjunction operations. IEEE Transactions on Fuzzy Systems, vol. 10, 5, 2002, pp. 678-683. (pdf)

50. Batyrshin I., Pospelov D. Soft models in decision-making. Introduction of Editors of Issue. -International Journal of General Systems, vol. 30, 1, 2001, pp. 1-2.

51. Batyrshin I. Basic operations of fuzzy logic. News of Artificial intelligence, vol. 4, 2001, pp. 18-22 (in Russ).