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Voskoglou, M. Michael Voskoglou. Encyclopedia. Available online: https://encyclopedia.pub/entry/45933 (accessed on 20 May 2024).
Voskoglou M. Michael Voskoglou. Encyclopedia. Available at: https://encyclopedia.pub/entry/45933. Accessed May 20, 2024.
Voskoglou, Michael. "Michael Voskoglou" Encyclopedia, https://encyclopedia.pub/entry/45933 (accessed May 20, 2024).
Voskoglou, M. (2023, June 21). Michael Voskoglou. In Encyclopedia. https://encyclopedia.pub/entry/45933
Voskoglou, Michael. "Michael Voskoglou." Encyclopedia. Web. 21 June, 2023.
Michael Voskoglou
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mathematics education

1. Introduction

Michael Gr. Voskoglou received his B.Sc. in Mathematics (1972, Excellent) from the Aristotle University of Thessaloniki, Greece, his M.Sc. in Pure Mathematics (1978) and M.Phil.  in Algebra (1980) from the University of Leeds, UK and his Ph.D. (1982, Excellent) from the University of Patras, Greece. His Ph.D. thesis entitled “A Contribution to the Study of Rings” was a research study on derivations and skew polynomial rings.

At the beginning of his career (1972-1987) M. Voskoglou worked as a teacher of mathematics of the Greek public secondary Education in the city of Patras, with a three years break (1976-78) for his postgraduate studies in England under sabbatical from the Greek Ministry of Education and a NATO’s fellowship (technical assistance). In 1987 he was elected as a Lecturer at the TEI of Messolonghi, where he became a full Professor of Mathematics and Operations Research at the School of Management and Economics in 1989. Vice president of the Research Committee and Erasmus coordinator (1990 - 1994), Dean of the School of Management and Economics (1995–1997) and Scientific Director of five programs of technological research on applications of quantitative methods to Cooperatives (1989 – 1996).

During the period 1997-2000 Prof. Voskoglou worked as a visiting researcher in the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences in Sofia. At the end of 2000 he joined as a full Professor of Applied Mathematics the School of Technological Applications of the Graduate TEI of Patras. Head of the Department of Renovation and Restoration of Buildings and Scientific Director of the European Program “Expansion of Tertiary Education” (2001-2005), he became an Emeritus Professor in 2012. The School of Technological Applications of the TEI of Patras, which was renamed later as TEI of Western Greece, has been joined recently with the University of Peloponnese.

Prof. Voskoglou used to be also an instructor at the Hellenic Open University, at the Mathematics Department of the University of Patras and at the Schools of Primary and Secondary In – Service Teachers’ Training in Patras. He has lectured as a Visiting Professor in postgraduate.courses at the School of Management of the University of Warsaw (2009), at the Department of Operational Mathematics of the University of Applied Sciences in Berlin (2010) and at the Mathematics Department of the National Institute of Technology of Durgapur (2016) under a grand of the GIAN program (Course No. 161021K03) of the Indian Government.

Supervisor of many student dissertations on applications of Mathematics to Management and Engineering and external examiner of Ph.D. dissertations at Universities of Egypt, India and Saudi Arabia. He is the recipient of many scholarships (Greek Institute of National Scholarships, NATO’s technical assistance, GIAN-India, etc.), distinctions (Who is Who in the World, Who is Who in America, Men of Achievement, Board of Advisors of the American Biographical Institute, etc.) and honorary awards (appreciation plaques from the Egyptian Computer Society, Ain Shams University, Cairo, National Institute of Technology of Durgapur, India, Einstein Award of the International Biographical Centre, Cambridge, UK, etc.). Prof. Voskoglou is also a member of several scientific associations (AMS, HMS, ICTMA, IETI, etc.).

Member of Editorial Boards

Prof. Voskoglou is the Editor in Chief of the journal "Design, Construction and Maintenance", ISSN 2944-912X,  Reviewer of the American Mathematical Society (No 60147), Associate Editor of the "Journal of Interdisciplinary Mathematics" (Taylor & Francis), Editor of the MDPI journals "Mathematics" and EJIHPE and member of the Editorial Board or Reviewer of many other scientific journals . He was also the publisher and Editor in Chief of  the “International Journal of Applications of Fuzzy Sets and Artificial Intelligence”, ISSN 2241-1240 (2011 - 2020)..

Related Links

http://orcid.org/0000-0002-4727-0089:

scopus.com/authid/detail.uri?authorId=35423102000

https://www.webofscience.com/wos/author/record/942055

https://scholar.google.com/citations?user=9K3F9GkAAAAJ

https://www.amazon.com/author/michaelvoskoglou

http://arxiv.org/a/voskoglou_m_1

sciprofiles.com/profile/mvoskoglou

2. Publications

 Dissertations (3)

  1. COMPLETIONS AND PROPERTIES OF COMPLETE LOCAL RINGS, M. Sc. Dissertation, University of Leeds, UK, 1978.
  2. DERIVATIONS AND SKEW POLYNOMIAL RINGS, M. Phil. Thesis, University of Leeds, UK, 1980.
  3. CONTRIBUTION TO THE STUDY OF RING THEORY, Ph.D. Thesis, University of Patras, Department of Mathematics, 1982 (in Greek).
Authored Books  (11)
  1. ELEMENTARY MATHEMATICS UNDER CONTEMPORARY SCOPE, Self-Edition, Patras, Greece,1984.(in Greek)
  2. MATHEMATICS FOR THE SECTOR OF MANAGEMENT AND ECONOMICS, Macedonian Publ..- ION, Athens, Greece , 3d. Ed., 2001, I SBN 960-319-154-X (in Greek).
  3. APPLIED MATHEMATICS), Macedonian Publ. - ION, Athens, Greece, 2nd Ed, 2004, ISBN 960-319-258-9 (in Greek)
  4. ANALYTIC GEOMETRY), Self-Edition, Patras, Geece, 2004, ISBN 960-92460-0-1 (in Greek)
  5. MATHEMATICS, Self-Edition, Patras Greece, 3d Ed., 2009, ISBN 960-92460-1-X (in Greek)
  6. TOPICS FROM OPERATIONS’ RESEARCH), Self-Edition, Patras, Greece, 2007, ISBN 960-92460-2-8 (in Greek)
  7. INTRODUCTION TO OPERATIONS’ RESEARCH, Gotsis Publ., Patras, Greece, 2010, ISBN 978-960-9427-05-0 (in Greek).
  8. STOCHASTIC AND FUZZY MODELS IN MATHEMATICS EDUCATION, ARTIFICIAL INTELLIGENCE AND MANAGEMENT, Lambert Academic Publishing, Saarbrucken, Germany, 2011, ISBN 978-3-8465-2821-1.
  9. ADVANCED MATHEMATICS FOR ENGINEERS AND ECONOMISTS, Self-Edition, Patras, Greece, 2012, ISBN 978-960-92460-3-3
  10. FINITE MARKOV CHAINS AND FUZZY MODELS JN MANAGEMENT AND EDUCATION, GIAN Program (Course No. 161021K03) , National Institute of Technology, Durgapur, India, 2016
  11. FINITE MARKOV CHAIN AND FUZZY LOGIC ASSESSMENT MODELS; EMERGING RESEARCH AND OPPORTUNITIES, Create Space Independent Publishing Platform (Amazon), Columbia, SC, USA, 2017 (ISBN: 978-1548340070)

Edited Books (4)

  1. PROCEEDINGS OF THE 7TH IEEE INT. CONF. ON INTELLIGENT COMPUTING AND INFORMATION SCIENCE (ICICIS 2015), Vol. 3 , M Roushdy, M. Voskoglou, et al. (Eds.), Ain Shams University, Cairo, Egypt, 2015, ISBN: 977-237-172-3.
  2. AN ESSENTIAL GUIDE TO FUZZY SYSTEMS, M. Voskoglou (Ed.), Nova Publishers, N.Y., 2019, ISBN: 9787-1536161281
  3. FUZZY SETS, FUZZY LOGIC AND THEIR APPLICATIONS, M. Voskoglou (Ed.), MDPI, Basel, Beijing, Wuhan, Barcelona, Belgrade, Manchester, Tokyo, Cluj, Tiaqnjin, 2020, ISBN: 978-3-03928-520-4
  4. FUZZY SETS, FUZZY LOGIC AND THEIR APPLICATIONS 2020, Voskoglou (Ed.), MDPI, Basel, Beijing, Wuhan, Barcelona, Belgrade, Manchester, Tokyo, Cluj, Tiaqnjin, 2021, ISBN: 978-3-0365-2007-0

Papers in English (374)

  1. SIMPLE SKEW POLYNOMIAL RINGS, Publ. Inst. Math. (Beograd), 37(51), 37-41, 1985.
  2. EXTENDING DERIVATIONS AND ENDOMORPHISMS TO SKEW POLYNOMIAL RINGS, Publ. Inst. Math. (Beograd), 39(53), 79-82, 1986.
  3. SIMPLE SKEW LAURENT POLYNOMIAL RINGS, Bolletino U.M.I., (7), 1-A, 255-260, 1987.
  4. PRIME IDEALS OF SKEW POLYNOMIAL RINGS, Riv. Mat. Univ. Parma (4), 15, 17-25, 1989.
  5. SEMIPRIME IDEALS OF SKEW POLYNOMIAL RINGS, Publ. Inst. Math. (Beograd), 47(61), 33-38, 1990.
  6. PRIME AND SEMIPRIME IDEALS OF SKEW POLYNOMIAL RINGS OVER COMMUTATIVE RINGS, Doga – Tr. J. Mathematics, 15, 1-7, 1991.
  7. PRIME AND SEMIPRIME IDEALS OF SKEW LAURENT POLYNOMIAL RINGS, Riv. Mat. Univ. Parma (4), 17, 211-215, 1991.
  8. A MARKOV CHAIN MODEL IN PROBLEM SOLVING (with S. C. Perdikaris), Int. J. Math. Educ. Sci. Technol., Vol. 22, No 6, 909-914, 1991.
  9. A NOTE ON DIFFERENTIAL IDEALS OF A COMMUTATIVE RING, Richerche di Matematica, Vol. XIII, fasc. 1o, 145-148, 1993.
  10. A NOTE ON THE GI2 OF THE WEIL ALGEBRA, Math. Mondisnigri, Vol. II, 107-111, 1993.
  11. MEASURING PROBLEM SOLVING SKILLS (with S. C. Perdikaris) Int. J. Math. Educ. Sci. Technol., Vol. 24, No 3, 443-447, 1993.
  12. A NOTE ON SKEW POLYNOMIAL RINGS, Publ. Inst. Math. (Beograd), 55(69), 23-28, 1994.
  13. ON A PROPERTY OF IDEALS OF A SKEW POLYNOMIAL RING, Math. Montisnigri, Vol. III, 95-100, 1994.
  14. PRINCIPAL IDEALS IN SKEW POLYNOMIAL RINGS (with M. Sapanci), Bulletin Greek Math. Soc., 36, 133-137, 1994.
  15. HEURISTICS IN PROBLEM SOLVING: A TRAVEL FROM POLYA TO NOWADAYS, Mathematics and Informatics, 4 (1994), 16-22 (translated in the Bulgarian language).
  16. PROBABILITY IN PROBLEM SOLVING (with S. C. Perdikaris) Int. J. Math. Educ. Sci. Technol., Vol. 25, No 3, 419-422, 1994.
  17. AN APPLICATION OF MARKOV CHAIN TO THE PROCESS OF MODELLING, Int. J. Math. Educ. Sci. Technol., Vol. 25, No 4, 475-480, 1994.
  18. A NOTE ON D-SIMPLE ALGEBRAS, Appl. Res. Rev. (J. T.E.I. of Piraeus), Vol. II, 123-127, 1995.
  19. MEASURING MATHEMATICAL MODEL BUILDING ABILITIES, Int. J. Math. Educ. Sci. Technol., Vol. 26, 29-35, 1995.
  20. USE OF ABSORBING MARKOV CHAINS TO DESCRIBE THE PROCESS OF MATHEMATICAL MODELLING: A CLASSROOM EXPERIMENT, Int. J. Math. Educ. Sci. Technol., Vol. 26, 759-763, 1995.
  21. USE OF MARKOV CHAINS TO DESCRIBE THE PROCESS OF LEARNING, Theta: A Journal of Mathematics, Manchester Metropolitan University, Vol. 10, No 1, 36-40, 1996.
  22. USE OF ABSORBING MARKOV CHAINS AS A MEASUREMENT MODEL FOR THE PROCESS OF ANALOGICAL TRANSFER, Int. J. Math. Educ. Sci. Technol., Vol. 27, 197-205, 1996.
  23. AN APPLICATION OF ERGODIC MARKOV CHAINS TO ANALOGICAL PROBLEM SOLVING, The Mathematics Education (India), Vol. XXX, No 2, 95-108, 1996.
  24. F-SIMPLE SKEW POLYNOMIAL RINGS, Bulletin of the Greek Math. Soc., 38, 127-136, 1996.
  25. SOME REMARKS OF THE USE OF REDISCOVERY IN THE TEACHING OF MATHEMATICS, Proceedings of the 1st Mediterranean Conference on Mathematics Education, 124-128, Nicosia, Cyprus, 1997.
  26. A REVIEW OF AN APPLICATION OF ERGODIC MARKOV CHAINS IN THE PROCESS OF MATHEMATICAL MODELLING, Proceedings 3d Panhellenic Conference in Didactics of Mathematics and Informatics, 528-533, Patras, Greece,1997.
  27. APPLICATION OF MARKOV CHAINS TO PROBLEM SOLVING AND LEARNING MATHEMATICS, Heuristics and Didactics of Exact Sciences 8, 4-10, Ukraine 1997.
  28. UNIMODULAR GROUPS OVER POLYNOMIAL RINGS, Appl. Res. Rev. (J. T.E.I. of Piraeus), Vol. IV, 47-52, 1999.
  29. A NOTE ON IDEALS IN SKEW POLYNOMIAL RINGS (with M. Sapanci), Appl. Res. Rev. (J. T.E.I. of Piraeus), Vol. IV, 53-57, 1999.
  30. AUTOMORPHISMS AND F-SIMPLICITY IN SKEW POLYNOMIAL RINGS, Italian J. of Pure and Applied Maths., No 5, 139-147, 1999.
  31. THE NUMBER Π: A HISTORY OF 22 CENTURIES, Mathematics and Informatics Quarterly, (Singapore) 9(2), 61-63, 1999.
  32. AN APPLICATION OF FUZZY SETS TO THE PROCESS OF LEARNING, Heuristics and Didactics of Exact Sciences, 10, 9-13, 1999
  33. (σ, τ)-JORDAN DERIVATIONS ON PRIME RINGS, (with M. Sapanci), Appl. Res. Rev. (J. T.E.I. of Piraeus), Vol. V, No 1, 45 – 49, 2000.
  34. THE PROCESS OF LEARNING MATHEMATICS: A FUZZY SET APPROACH, Millenium – Revista do I.S.P.V. (Portugal), 17, 272-279, 2000
  35. AN APPLICATION OF MARKOV CHAINS TO DECISION MAKING, Studia Kupieckie (Lodz-Poland), (6), 69-76, 2000.
  36. USE OF THE FUZZY SETS THEORY TO DESCRIBE THE PROCESS OF LEARNING MATHEMATICS, Didactics of Mathematics: Problems and Investigations (Ukraine), 3(13), 6-7, 2000.
  37. SOLVING PROBLEMS BY ANALOGY, Didactics of Mathematics: Problems and Investigations (Ukraine), 3(13), 18-19, 2000.
  38. A MARKOV CHAIN MODEL IN DECISION MAKING, Millenium – Revista do I.S.P.V. (Portugal), 20, 292 – 297, 2000.
  39. DIFFERENTIAL SIMPLICITY AND DIMENSION OF A COMMUTATIVE RING, Riv. Mat. Univ. Parma (6), 4, 111 – 119, 2001.
  40. THE PROBLEM OF TANGENCIES OF APOLLONIUS, Mathematics and Informatics Quarterly (Singapore), 11(1), 8-10, 2001.
  41. REDISCOVERY IN MATHEMATICS: A MEASUREMENT MODEL, Didactics of Mathematics, 17, 26-32, Ukraine, 2002.
  42. ANALOGICAL PROBLEM SOLVING AND TRANSFER. In Gagatsis, A. and Papastavridis, S. (Eds), Mathematics in the Modern World, Didactics, Life and Society, 295-303, Hellenic Math. Soc., Athens, 2003.
  43. APPLICATIONS OF FUZZY SETS TO PROBLEMS OF COMMERCIAL ENTERPRISES, Proceed. 1st Conf. on Quantitative Methods in Industry and Commerce, 654-659, T.E.I. of Athens, 2003.
  44. THE 10 DIFFERENT CASES OF THE PROBLEM OF THE TANGENCIES, Mathematics and Informatics Quarterly (Singapore), 13(3), 51-54, 2003 .
  45. THE MATHEMATICAL EDUCATION IN GREECE NOWADAYS. In Makrides, Gr., Gagatsis, A. and Nicolaou, K. (Eds), Linking Science, Mathematics and Technology Education and their Social Relevance, 161-167, Cyprus Mathematical Society, 2004.
  46. A NOTE ON THE SIMPLICITY OF SKEW POLYNOMIAL RINGS OF DERIVATION TYPE, Acta Math. Inf. Univ. Ostraviensis (Czech Republic), 12, 61-64, 2004
  47. DERIVATIONS ON COORDINATE RINGS OF SMOOTH VARIETIES, Math. Montisnigri, Vol. XVI, 95-102, 2004.
  48. MATHEMATICS AND CONSTRUCTIONS, Proceedings 4th Mediterranean Conference on Mathematics Education, 609-617, Palermo, Italy, 2005.
  49. THE APPLICATION – ORIENTATED TEACHING OF MATHEMATICS, Proceedings International Conference on Mathematics Education, 85 – 90, Svishtov, Bulgaria, 2005.
  50. THE USE OF MATHEMATICAL MODELLING AS A TOOL FOR LEARNING MATHEMATICS, Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 16, 53-60, 2006.
  51. THE IMPORTANCE OF MATHEMATICS FOR THE DESIGN SCIENCES, Proceedings CIEAEM 58, 134-140, Srni, Czech Republic, 2006.
  52. GEOMETRIC EXAMPLES OF DIFFERENTIALLY SIMPLE RINGS, Appl. Res. Rev. (J. T.E.I. of Piraeus), Vol. XI, No. 1, 136-140, 2006.
  53. A STOCHASTIC MODEL FOR THE MODELLING PROCESS, In “Mathematical Modelling: Education, Engineering and Economics”, C. Chaines, P. Galbraith, W. Blum & s. Khan (Eds), Horwood Publ.. Chichester, 149-157, 2007
  54. FORMALISM AND INTUITION IN MATHEMATICS : THE ROLE OF THE PROBLEM, Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 17, 113-120, 2007
  55. THE PROBLEM AS A LEARNING DEVICE OF MATHEMATICS. In Avgerinos, P. and Gagatsis, A. (Eds), Current Trends in Mathematics Education, 223-232, New Technologies Publications, Athens, 2007.
  56. THE ROLE OF THE TEACHER FOR THE LEARNING OF MATHEMATICS (workshop), Proceedings CIEAEM 59, 278-283, Dobogoko, Hungary, 2007.
  57. WHAT IS THE ROLE OF MATHEMATICS FOR THE DESIGN SCIENCES: A GENERAL PROBLEM ILLUSTRATED BY EXAMPLES FROM GREECE, In Salett Biembengut, M. and Vera W. de Spinadel (Eds): Mathematics and Design, 334-341, Blumenau, Brazil, 2007.
  58. PROBLEM SOLVING IN MATHEMATICS EDUCATION: RECENT TRENDS AND DEVELOPMENT, Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 18, 22-28, 2008.
  59. CASE-BASED REASONING: A RECENT THEORY FOR PROBLEM-SOLVING AND LEARNING IN COMPUTERS AND PEOPLE, Communications in Computer and Information Science, 19, 314-319, Springer-Verlag, 2008.
  60. FUZZY LOGIC IN THE PROCESS OF LEARNING. In Gagatsis, A. (Ed.): Research in Mathematics Education, 275-284, University of Cyprus, Nicosia, 2008.
  61. THE MATHEMATICS TEACHER IN THE MODERN SOCIETY, Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 19, 24-30, 2009.
  62. FUZZINESS OR PROBABILITY IN THE PROCESS OF LEARNING: A GENERAL QUESTION ILLUSTRATED BY EXAMPLES FROM TEACHING MATHEMATICS, The Journal of Fuzzy Mathematics, 17(3), 679-686, International Fuzzy Mathematics Institute (Los Angeles), 2009
  63. A STOCHASTIC MODEL FOR THE PROCESS OF LEARNING. In L., Paditz & A., Rogerson (Eds): Models in Developing Mathematics Education, 565-569, Dresden, Germany, 2009.
  64. TEACHING MATHEMATICS IN HIGHER TECHNOLOGICAL EDUCATION: THE SITUATION IN GREECE, Proceedings 6th Mediterranean Conference on Mathematics Education, 333-442, Plovdiv, Bulgaria, 2009.
  65. APPLICATIONS OF MARKOV CHAINS TO BUSINESS PROBLEMS, Proceedings 2nd International Conference on Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences, 528-535, T. E. I. of Athens, 2009.
  66. COMBINING CASE-BASED WITH FUZZY REASONING IN COMMERCIAL PROBLEMS, Proceedings of 2nd International Conference on Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences, 536-543, E.I. of Athens, 2009.
  67. FUZZY SETS IN CASE-BASED REASONING, Fuzzy Systems and Knowledge Discovery, Vol.6 , 252-256, IEEE Computer Society, 2009.
  68. TRANSITION ACROSS LEVELS IN THE PROCESS OF LEARNING: A FUZZY MODEL, International Journal of Modelling and Application (Univ. Blumenau, Brazil), 1, 37-44, 2009
  69. THE IMPORTANCE OF MATHEMATICS FOR THE DESIGN SCIENCES, Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 19(Supplemento no 3), 27- 33, 2009.
  70. MATHEMATIZING THE PROCESS OF LEARNING A SUBJECT MATTER IN THE CLASSROOM, HMS International Journal for Mathematics in Education, 2, 75-93, 2009 -2010.
  71. MEASURING THE EFFICIENCY OF A CBR SYSTEM, Applied Research Review (Journal T. E. I. of Piraeus), Vol.XIV, No 1, 59-68, 2010.
  72. COMBINING CASE-BASED AND FUZZY REASONING IN PROBLEM SOLVING, Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 20, 31-39,
  73. A FUZZY MODEL FOR THE MODELLING PROCESS. In Munteanu, V. et al (Eds.): Recent Advances in Fuzzy Systems, 44-49, WSEAS Press, Iasi, Romania, 2010.
  74. A FUZZY REPRESENTATION OF CBR SYSTEMS. In Mastorakis, N. E. et al. (Eds.): Latest Advances on Systems, Vol. 1, 48-53, WSEAS Press, Corfu Island, Greece, 2010.
  75. A FUZZY SYSTEMS FRAMEWORK FOR SOLVING REAL WORLD PROBLEMS, Transactions on Systems (WSEAS), 9(6), 875-884, 2010.
  76. USE OF THE TOTAL POSSIBILISTIC UNCERTAINTY AS A MEASURE OF STUDENTS MODELLING CAPACITIES, J.Math. Educ. Sci. Technol., Vol. 41, No 8, 1051-1060, 2010.
  77. A NOTE OF DERIVATIONS OF COMMUTATIVE RINGS. In Mastorakis, N. et al. (Eds.): Recent Researches in Applied Mathematics, 73-78, WSEAS Press, Vouliagmeni, Athens, 2010.
  78. A STOCHASTIC MODEL FOR CASE-BASED REASONING, International Journal of Modelling and Application (Univ. Blumenau, Brazil), 3, 33-39, 2010.
  79. PROBLEM-SOLVING AS A COMPONENT OF THE CONSTRUCTIVIST VIEW OF LEARNING, Journal of Education Research (Nova Publ., N. Y.), Vol. 4, Issue 2, 93-112, 2010.
  80. CASE-BASED REASONING: HISTORY, METHODOLOGY AND DEVELOPMENT TRENDS. In Leeland, A. M. (Ed.): Case-Based Reasoning: Processes, Suitability and Applications, Chapter 3, 59-76, Nova Publishers, N. Y., 2011.
  81. MATHEMATIZING THE CASE-BASED REASONING PROCESS. In Leeland, A.M. (Ed.): Case-Based Reasoning: Processes, Suitability and Applications, Chapter 6, 113-128, Nova Publishers, N. Y., 2011.
  82. COMMENTARY: FUZZY SETS IN CASE-BASED REASONING. In Leeland, A. M. (Ed.): Case-Based Reasoning: Processes, Suitability and Applications, p.163, Nova Publishers, N. Y , 2011.
  83. PROBLEM-SOLVING FROM POLYA TO NOWADAYS: A REVIEW AND FUTURE PERSPECTIVES. In Nata, R. V. (Ed.), Progress in Education, Vol. 22, Chapter 4, 65-82, Nova Publishers, N. Y, 2011.
  84. CBR: A THEORY OF LEARNING THROUGH PROBLEM-SOLVING, International Journal of Psychology Research (Nova Publ., N. Y.), Vol.6, Issue 5, 505-530, 2011.
  85. A STUDY ON THE COMPREHENSION OF IRRATIONAL NUMBERS (with G. Kosyvas), Quaderni di Ricerca in Didattica (Scienze Mathematiche), Univ. of Palermo, 127- 141, 2011.
  86. DERIVATIONS AND ITERATED SKEW POLYNOMIAL RINGS, International Journal of Applied Mathematics and Informatics (NAUN Publications), Issue 2, Vol. 5, 82- 90,
  87. MATHEMATICAL MODELLING IN CLASSROOM: THE IMPORTANCE OF VALIDATION OF THE CONSTRUCTED MODEL, MEC 21, Proceedings of the 11th International Conference, 352-357, Rhodes University, Grahamstown, South Africa, 2011
  88. MATHEMATICAL MODELS FOR THE PROBLEM-SOLVING PROCESS, HMS International Journal for Mathematics in Education, 3, 25-44,
  89. MEASURING STUDENTS MODELLING CAPACITIES: A FUZZY APPROACH, Iranian Journal of Fuzzy Systems, 8(3), 23-33, 2011.
  90. CASE-BASED REASONING: A REVIEW. In A. Columbus (Ed.), Advances in Psychology Research, Nova Publishers, Y.), Vol. 84, Chapter 2, 19-36, 2011
  91. EDITORIAL International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 1, 3-4, 2011.
  92. APPLICATIONS OF FUZZY LOGIC TO CASE-BASED REASONING (with I. Subbotin), International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 1, 7-18, 2011.
  93. FUZZY LOGIC AND UNCERTAINTY IN MATHEMATICS EDUCATION, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 1, 45-64, 2011.
  94. CBR AND PROBLEM SOLVING, Psychology Research Biographical Sketches and Research Summaries, pp. 987, Nova Publishers, 2011
  95. A FUZZY MODEL FOR ANALOGICAL PROBLEM SOLVING, International Journal of Fuzzy Logic Systems, 2(1), 1-10, 2012
  96. FUZZY MODELS FOR ANALOGICAL REASONING (with I. Subbotin), International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 2, 19-38, 2012.
  97. FUZZY LOGIC AND UNCERTAINTY IN PROBLEM-SOLVING, Journal of Mathematical Sciences and Mathematics Education, 7(1), 34-49, 2012
  98. FUZZY MEASURES FOR STUDENTS MATHEMATICAL MODELLING SKILLS, International Journal of Fuzzy Logic Systems, 2(2), 13-26, 2012.
  99. SOME COMMENTS ON TEACHING THE DECIMAL REPRESENTATIONS OF REAL NUMBERS AT SCHOOL, Didactics of Mathematics: Problems and Investigations (Ukraine), 37, 99-102, 2012.
  100. FUZZY MEASURES FOR STUDENTS’ ANALOGICAL REASONING SKILLS (with I. Subbotin), Proceedings of International Web Conference on Mathematics and its Applications, 219-220, Donetsk, Ukraine, 2012.
  101. FUZZY LOGIC AND UNCERTAINTY IN PROBLEM SOLVING, Proceedings of International Web Conference on Mathematics and its Applications, 303-305, Donets k, Ukraine, 2012
  102. REPRESENTING A SYSTEM IN TERMS OF FUZZY LOGIC, In Y. E. Balas and M. Koskal (Eds.): Recent Researches in Circuits and Systems (WSEAS Publications), 213-218, 2012
  103. FUZZY MEASURES FOR A SYSTEM’S PERFORMANCE, In Y. E. Balas and M. Koskal (Eds.): Recent Researches in Circuits and Systems (WSEAS Publications), 394-399, 2012
  104. AN APPLICATION OF THE “CENTROID” METHOD IN MEASURING A SYSTEM’S EFFECTIVENESS, In Y. E. Balas and M. Koskal (Eds.): Recent Researches in Circuits and Systems (WSEAS Publications), 467-471, 2012
  105. RECENT RESEARCH ON PROBLEM-SOLVING. In Baswell, A. R. (Ed.): Advances in Mathematics Research, Vol.12, Chapter 1, 1-18, Nova Publishers, N. Y., 2012
  106. A FUZZY MODEL FOR PROBLEM-SOLVING, Turkish Journal of Fuzzy Systems, 3(1), 1-15, 2012.
  107. MATHEMATIZING THE PROCESS OF ANALOGICAL PROBLEM SOLVING, International Journal of Modelling and Application (Univ. Blumenau, Brazil), 7, 58-69, 2012.
  108. A STUDY ON FUZZY SYSTEMS, American Journal of Computational and Applied Mathematics, 2(5), 232-240, 2012
  109. AN APPLICATION OF FUZZY LOGIC TO COMPUTATIONAL THINKING, Annals of Pure and Applied Mathematics, 2(1), 18-32, 2012.
  110. ANALYZING STUDENTS DIFFICULTIES IN UNDERSTANDING REAL NUMBERS, Journal for Research in Mathematics Education, 1(3), 301-335, 2012.
  111. A FUZZY MODEL FOR HUMAN REASONING, International Journal of Mathematics and Engineering with Computers, 3(2), 61-71, 2012
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  • COMPUTATIONAL THINKING IN PROBLEM SOLVING AND EDUCATION, in R.V. Nata (Ed.), Progress in Education, Vol. 61, Chapter 2, 33-94, Nova Publishers, N.Y., 2019.
  • PREFACE, in M. Voskoglou (Ed.), An Essential Guide to Fuzzy Systems, pp. vii-xii, Nova Publishers, N.Y., 2019.
  • FUZZY SETS, GREY SYSTEM THEORY AND COMPUTATIONAL THINKING, in M. Voskoglou (Ed.), An Essential Guide to Fuzzy Systems, Chapter 1, 1-54, Nova Publishers, N.Y., 2019.
  • EVALUATION OF FUZZY DATA AND FUZZY RELATION EQUATIONS, in M. Voskoglou (Ed.), An Essential Guide to Fuzzy Systems, Chapter 2, 55-78, Nova Publishers, N.Y., 2019.
  • GENERALIZATIONS OF FUZZY SETS AND RELATED THEORIES, in M. Voskoglou (Ed.), An Essential Guide to Fuzzy Systems, Commentary, 345-352, Nova Publishers, N.Y., 2019.
  • APPLICATION OF POSSIBILITY THEORY TO DATA ASSESSMENT, Proceedings of the International Conference on Software Engineering, 14-17, national Aviation University, Kiev, Ukraine, 2019.
  • AN APPLICATION OF THE “5 E’S” INSTRUCTIONAL TREATMENT FOR TEACHING THE CONCEPT OF FUZZY SET, Sumerianz Journal of Education, Linguistics and Literature, 2(9), 73-76, 2019.
  • AN APPLICATION OF ERGODIC MARKOV CHAINS TO THE PROCESS OF TEACHING MATHEMATICS, American Journal of Applied Mathematics and Statistics, 7(5), 187-190, 2019.
  • A MARKOV CHAIN REPRESENTATION OF THE “5E’s” INSTRUCTIONAL TREATMENT, Scientific Journal of Physical and Mathematical Education, 3(21), 7-11, 2019.
  • ARTIFICIAL INTELLIGENCE AS A TOOL IN THE MODERN EDUCATION, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 9, 125-138, 2019.
  • APPLYING THE ABSORBING AND THE ERGODIC MARKOV CHAIN THEORY TO CBR, International Journal of Computers, 13, 122-126, 2019.
  • COMPUTERS AND ARTIFICIAL INTELLIGENCE AS TOOLS FOR EDUCATION IN THE FORTHCOMING ERA OF THE INTERNET OF THINGS AND ENERGY, WSEAS Transactions on Information Science and Applications, 16, 185-190, 2019
  • APPLICATIONS OF FINITE MARKOV CHAINS TO ARTIFICIAL INTELLIGENCE, International Journal of Innovation, 10(1), 1-10, 2020.
  • FUZZY SETS, FUZZY LOGIC AND THEIR APPLICATIONS 2020, Special Issue Information, Mathematics MDPI Journal, available at mdpi.com/journal/mathematics/special_issues/Fuzzy_Sets2020 , 2020.
  • PREFACE, in M. Voskoglou (Ed.), Fuzzy Sets, Fuzzy Logic and their Applications, p. v, MDPI, Basel, Switzerland, 2020
  • METHODS FOR ASSESSING HUMAN-MACHINE PERFORMANCE UNDER FUZZY CONDITIONS, in M. Voskoglou (Ed.), Fuzzy Sets, Fuzzy Logic and their Applications, pp. 35-56 , MDPI, Basel, Switzerland, 2020
  • BENEFITS AND LIMITATIONS OF THE ARTIFICIAL WITH RESPECT TO THE TRADITIONAL LEARNING OF MATHEMATICS (with A.-B. M. Salem), Mathematics, 8, 611, 2020
  • USE OF GREY NUMBERS FOR ASSESSING THE EFFECT OF THE APPLICATION OF THE FLIPPED LEARNING MODEL ON THE PERFORMANCE OF A MATHEMATICS CLASS, Egyptian Computer Science Journal, 44(2), 24-31, 2020
  • SMART LEARNING SYSTEMS (with A.-B. M. Salem), International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 10, 103-120, 2020.
  • THOUGHTS FOR THE FUTURE EDUCATION IN THE ERA OF THE FOURTH INDUSTRIAL REVOLUTION, American Journal of Educational Research, 8(4), 214-220, 2020.
  • A PHILOSOPHICAL TREATISE ON THE CONNECTION OF SCIENTIFIC REASONING WITH FUZZY LOGIC (with E. Athanassopoulos), Mathematics, 8, 875, 2020.
  • INDUCTIVE REASONING AND FUZZY LOGIC (with E. Athanassopoulos), International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 10, 169-195, 2020.
  • APPLICATIONS OF FUZZY LINEAR PROGRAMMING TO BUSINESS PROBLEMS, WSEAS Transactions on Mathematics, 19, 343-348, 2020.
  • A MARKOV CHAIN REPRESENTATION OF HUMAN REASONING AND SCIENTIFIC THINKING, American Journal of Applied Mathematics and Statistics, 8(2), 52-57, 2020.
  • TRADITIONAL LEARNING AND ARTIFICIAL LEARNING THEORIES AND TEACHING METHODS, Sumerianz Journal of Education, Linguistics and Literature, 3(8), 178-185, 2020.
  • APPLICATIONS OF FUZZY NUMBERS TO HYPERCONECTIVITY AND COMPUTING, International Journal of Hyperconnectivity and the Internet of Things, 4(2), 80-101, 2020.
  • NEW CHALLENGES FOR EDUCATION IN THE FORTHCOMING ERA OF THE FOURTH INDUSTRIAL REVOLUTION, in S. Buckley (Ed.), Promoting Inclusive Growth in the Fourth Industrial Revolution, Chapter 4, 98-117, IGI Global, Hersey, PA., USA, 2020.
  • BAYESIAN REASONING AND ARTIFICIAL INTELLIGENCE AGAINST COVID-19, International Journal of Scientific Advances, 1(1), 74-78, 2020 (with A.B. Salem).
  • QUANTIFYING THE ARISTOTLE’S FALLACIES (with E. Athanassopoulos), Mathematics, 8, 1399, 2020.
  • MACHINE LEARNING TECHNIQUES FOR TEACHING MATHEMATICS (with A.-B.M. Salem), Scientific Journal of Physical and Mathematical Education, 2(24), 17-25, 2020.
  • USE OF FINITE MARKOV CHAINS IN BUSINESS PROBLEMS INVOLVING DECISION MAKING AND CASE-BASED REASONING, in B. Christiansen & T. Skrinjaric (Eds.), Handbook for Research on Applied Artificial Intelligence for International Business and Marketing Applications, Chapter 16, 321-338, IGI Global, Hersey, PA., USA, 2020.
  • THE IMPORTANCE OF BAYESIAN REASONING FOR EVERYDAY LIFE AND SCIENCE, International Journal of Education Development, Society and Technology, 8(2), 24-33, 2020 (with E. Athanassopoulos)
  • BAYESIAN REASONING AND ARTIFICIAL INTELLIGENCE, WSEAS, Transactions on Advances in Engineering Education, 17, 92-98, 2020.
  • USE OF GREY NUMBERS FOR EVALUIATING A SYSTEM’S PERFORMANCE UNDER FUZZY CONDITIONS, in M. Khosrow-Pour (Ed.), Encyclopaedia of Information Science and Technology, Fifth Edition, Chapter 23, 315-331, IGI-Global, Hersey, PA, USA, 2020.
  • STATISTICAL THINKING IN PROBLEM SOLVING, American Journal of Educational Research, 8(10), 754-761, 2020 (with E. Athanassopoulos).
  • A MARKOV CHAIN MODEL FOR THE TEACHING PROCESS, Proceedings of the International Conference on Software Engineering, 43-47, National Aviation University, Kiev, Ukraine, 2020.
  • ASSESSMENT AND LINEAR PROGRAMMING UNDER FUZZY CONDITIONS, Journal of Fuzzy Extension and Applications, 1(3), 198-216, 2020.
  • SOCIAL CONSTRUCTIVISM IN TEACHING MATHEMATICS: AN ABSORBING MARKOV CHAIN REPRESENTATION, Journal of Physical Sciences, 25, 1-10, 2020.
  • FUZZY CONTROL SYSTEMS, WSEAS Transactions on Systems, 19, 295-300, 2020.
  • MODES OF THINKING IN PROBLEM SOLVING, Scientific Journal of Physical and Mathematical Education, 3(25), 11-18, 2020.
  • MARKOV CHAIN APPLICATIONS TO EDUCATION, Encyclopedia (MDPI), available on the Web at encyclopedia.pub/entry/3312, 2020.
  • FUZZY VS BIVALENT LOGIC, Encyclopedia (MDPI), available on the Web at encyclopedia.pub/entry/3410, 2020.
  • ITERATED SKEW POLYNOMIAL RINGS, Encyclopedia (MDPI), available on the Web at encyclopedia.pub/entry3612, 2020.
  • FUZZY CONTROL IN CYBER-PHYSICAL SYSTEMS, International Journal of Cyber-Physical Systems, 2(2), 46-58, 2020.
  • MODELLING THE TEACHING PROCESS: A MARKOV CHAIN APPROACH, International Education and Culture Studies, 1(1), 7-14, 2021.
  • FUZZY SETS, FUZZY LOGIC AND THEIR APPLICATIONS 2021, Special Issue Information, Mathematics MDPI Journal, available at mdpi.com/journal/mathematics/special_issue/fuzzy_2021 , 2021.
  • RECENT ADVANCES IN MATHEMATICS EDUCATION, Special Issue Information, European Journal of Investigation in Health, Psychology and Education (MDPI), available at mdpi.com/journal/ejihpe/special_issues/RAME, 2021
  • BIOGRAPHY (Michael Gr. Voskoglou), Encyclopedia (MDPI), available on the Web at encyclopedia.pub/8026, 2021.
  • COMPUTERS AND ARTIFICIAL INTELLIGENCE IN FUTURE EDUCATION, in Panconesi, G. & Guida, M. (Eds.), Handbook of Research on Teaching with Virtual Environments and Artificial Intelligence, Chapter 28, 654-680, IGI Global, Hersey, PA., USA, 2021.
  • PROBLEM SOLVING AND MATHEMATICAL MODELLING, American Journal of Educational Research, 9(2), 85-90, 2021
  • SMART LEARNING SYSTEMS: A MARKOV CHAIN APPROACH, Egyptian Computer Science Journal, 45(2), 24-29, 2021.
  • BAYESIAN REASONING AND MACHINE LEARNING, Proceedings of the International Conference on Software Engineering, 51-56, National Aviation University, Kiev, Ukraine, 2021.
  • PREFACE, in M. Voskoglou (Ed.), Fuzzy Sets, Fuzzy Logic and their Applications2020, p. xi, MDPI, Basel, Switzerland, 2021
  • A PHILOSOPHICAL TREATISE ON THE CONNECTION OF SCIENTIFICREASONING WITH FUZZY LOGIC (with E. Athanassopoulos), in M. Voskoglou(Ed.), Fuzzy Sets, Fuzzy Logic and their Applications 2020, pp. 51-66, MDPI, Basel,Switzerland, 2021
  • FUZZY LOGIC IN CONTROL THEORY, in D.A. Magdi, Y.K. Helmy, M. Mamdouh & Joshi (Eds.), Digital Transformation Technology (Proceedings of ITAF 2020), pp. 217-228, Springer, Singapore, 2021.
  • APPLICATION OF SOFT SETS TO ASSESSMENT OF MATHEMATICAL MODELLING SKILLS, Scientific Journal of Physical and Mathematical Education, 32(6), 13-17, 2021.
  • APPLICATION OF SOFT SETS TO ASSESSMENT PROCESSES, American Journal of Applied Mathematics and Statistics, 10(1), 1-3, 2022.
  • ANALYZING THE “ONE-VARIABLE-AT-A-TIME” METHOD AND ITS APPLICATIONS (with E. Athanassopoulos & E.-M. Bastounis), International Journal of Arts, Humanities and Social Sciences, 4(1), 22-37, 2022.
  • USING SOFT SETS FOR A PARAMETRIC ASSESSMENT OF PROBLEM SOLVING SKILLS, NAUN International Journal of Circuits Systems and Signal Processing, 16, 882-886, 2022.
  • SOFT SETS AS TOOLS FOR ASSESSING HUMAN-MACHINE PERFORMANCE, Egyptian Computer Science Journal, 46(1), 1-6, 2022.
  • USE OF GREY NUMBERS AND SOFT SETS AS ASSESSMENT TOOLS, Asian Journal of Pure and Applied Mathematics, 4(3), 171-177, 2022.
  • INFLUENCE OF THE DIGITAL TECHNOLOGIES TO THE PROCESS OF LEARNING, WSEAS Transactions on Advances in Engineering Education, 19, 72-79, 2022.
  • USE OF SOFT SETS AND THE BLOOM’S TAXONOMY FOR ASSESSING LEARNING SKILLS, Transactions on Fuzzy Sets and Systems, 1(1), 106-113, 2022.
  • CONNECTIVISM VS TRADITIONAL THEORIES OF LEARNING, American Journal of Educational Research, 10(4), 257-261, 2022.
  • A HYBRID MODEL FOR DECISION MAKING UTILIZING TFNs AND SOFT SETS AS TOOLS, Equations, 2, 65-69, 2022.
  • A HYBRID METHOD FOR THE ASSESSMENT OF ANALOGICAL REASONING SKILLS (with S. Broumi), Journal of Fuzzy Extension and Applications, 3(2), 152-157, 2022
  • MANAGING THE EXISTING IN REAL LIFE INDETERMINANCY, IARAS International Journal of Mathematical and Computational Methods, 7, 29-34, 2022.
  • A COMBINED USE OF SOFT SETS AND GREY NUMBERS IN DECISION MAKING, Journal of Computational and Cognitive Engineering, doi: 10.47852/bonviewjcce2202237, online 2022, 2(1), 1-4, 2023.
  • MANAGING THE UNCERTAINTY: FROM PROBABILITY TO FUZZINESS,NEUTROSOPHY AND SOFT SETS, Transactions on Fuzzy Sets and Systems, 1(2), 46- 58, 2022
  • UNCERTAINTY VS INDETERMINACY: A JOURNEY FROM FUZZINESS TONEUTROSOPHY, American Journal of Applied Mathematics and Statistics, 10(2), 65-68, 2022.
  • APPLICATIONS OF SOFT SETS TO ASSESSMENT PROBLEMS AND TOPOLOGY,in T.S. Clary (Ed.), Horizons in Computer Science Research, Vol.22, Chapter 3, 89-112, Nova Publishers, N.Y., 2022
  • APPLICATION OF SOFT SETS TO ASSESSMENT OF PROBLEM SOLVINGSKILLS, Proceedings of the International Conference on Software Engineering, 62-68, National Aviation University, Kiev, Ukraine, 2022.
  • TOPOLOGICAL SPACES ON FUZZY STRUCTURES, WSEAS Transactions on Mathematics, 21, 624-628, 2022
  • A COMBINED USE OF SOFT AND NEUTROSOPHIC SETS FOR STUDENT ASSESSMENT WITH QUALITATIVE GRADES, Journal of Neutrosophic and FuzzySystems, 4(1), 15-20, 2022 (with S. Broumi & F. Smarandache)
  • PTG-PLM: PREDICTING POST-TRANSLATIONAL GLYCOSYLATION AN GLYCATION SIDES USING PROTEIN LANGUAGE MODELS AND DEEP LEARNING, Axioms, 11, Article 469, 2022 (with Alkuhlani, A., Gad, W., Roushdy, M. & Salem, A.-B.M.)
  • A HYBRID METHOD FOR ASSESSMENT WITH LINGUISTIC GRADES, OrientalJournal of Physical Sciences, 7(1), 26-29, 2022.
  • NEUTROSOPHIC SETS AS TOOLS IN ASSESSMENT PROCESSES, EgyptianComputer Science Journal, 46(2), 28-33, 2022.
  • A COMBINED USE OF SOFT AND NEUTROSOPHIC SETS FOR STUDENT
  • ASSESSMENT WITH QUALITATIVE GRADES, in F. Smarandache (Ed. and Author),Collected Papers (on Neutrosophics and other Topics), Vol. XIV, 582-587, Global Knowledge Publ. House, Miami, USA, 2022 (with S. Broumi & F. Smarandache)
  • INTRODUCTION TO THE SPECIAL ISSUE ON RECENT ADVANCES IMATEMATICS EDUCATION, European Journal of Investigation in Health, Psychologyand Education, 12, 1498-1499, 2022 (with Mamona-Downs, J.)
  • FUZZINESS, INDETERMINACY AND SOFT SETS: FRONTIERS ANDPERSPECTIVES, Mathematics, 10, 3909, 2022.
  • A HYBRID METHOD FOR ASSESSING STUDENT MATHEMATICAL SKILLS,Transactions on Fuzzy Sets and Systems, 2(1), 61-71, 2023, DOI: 10.39495/TFSS.2022.1971.496.105, 2022 (online)
  • .A HYBRID METHOD FOR ASSESSING STUDENT MATHEMATICAL MODELLING SKILLS UNDER FUZZY CONDITIONS, International Journal of Computational and Applied Mathematics & Computer Science, 2, 106-114, 2022.
  • ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS: AN OVERVIEW, IARAS International Journal of Mathematical and Computational Methods, 7, 67-71, 2022.
  • FROM ZADEH’S FUZZINESS TO SMARANDACHE’S NEUTROSOPHY: REVIEW, Int. Journal of Applied Mathematics Computational Science andSystems Engineering, 4, 98-104, 2022.
  • A HYBRID APPROACH FOR ASSESSING PROBLEM SOLVING SKILLS UNDER FUZZY CONDITIONS, Int. J. “Information Theories and Applications, 29(2), 103-128, 2022
  • ADVANCES AND APPLICATIONS OF SOFT COMPUTING, Mathematics, Special Issue, https://www.mdpi.com/journal/mathematics/special_issues/CVV73STHDQ, 2023
  • AN APPLICATION OF NEUTROSOPHIC SETS TO DECISION MAKING, Neutrosophic Sets and Systems, 53, 1-9, 2023.
  • SOME CERTAIN FUZZY RIEMANN INTEGRAL INEQUALITIES FOR GENERALIZED CONVEXITY VIA FUZZY-NUMBER VALUED MAPPINGS, Mathematics, 11, 550, 2023 (with Khan M.B., Hakeem A. Othman, H.A., Abdullah, L., Alzubaidi, A.M.).
  • DECISION MAKING IN NEUTROSOPHIC ENVIRONMENT, Proof, 3, 1-7, 2023
  • FUZZY AND NEUTROSOPHIC SETS AND SYSTEMS, EXTENSIONS AND APPLICATIONS, Contemporary Mathematics, Special Issue, https://ojs.wiserpub.com/index.php/CM/SI/Fuzzy_Set_Syst, 2023 (with F. Smarandache and S. Broumi).
  • ARTIFICIAL INTELLIGENCE IN EDUCATION IN THE ERA OF THE FOURTH INDUSTRIAL REVOLUTION, in L. Skenderi (Ed.): Proceedings of Int. Antalya Scientific Research and Innovative Studies Congress, 51-63, 2023.
  • ASSESSING THE EFFECTIVENESS OF FLIPPED LEARNING FOR TEACHING MATHEMATICS TO MANAGEMENT STUDENTS, American Journal of Applied Mathematics and Statistics, 11(1), 30-34, 2023.
  • ASSESSING THE EFFECTIVENESSOF THE APOS/ACE METHOD FOR TEACHING MATHEMATICS TO ENGINEERING STUDENTS, WSEAS Transactions on Advances in Engineering Education, 20, 37-43, 2023.
  • ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES IN THE FUTURE EDUCATION, Qeios, DOI: 1032388/07VE29.
  • APPLICATIOJN OF SOFT SETS AND NEUTROSOPHIC SETS FOR INTRODUCING A MULTI-VALUED LOGIC IN ETHICS, https://sciforum.net/manuscripts /14395/manuscript.pdf2023 (with J. Feuerstein and E. Athanassopoulos)
  • FUZZY ASSESSMENT OF THE “5 E’S” INSTRUCTIONAL TREATMENT FOR TEACHING MATHEMATICS TO ENGINEERING STUDENTS, Computer Science & Engineering: An International Journal, 13(2), 1-9, 2023.
  • NEUTROSOPHIC ASSESSMENT OF STUDENT MATHEMATICAL SKILLS, Physical and Mathematical Education, 38(2), 22-26, 2023.
  • USE OF SOFT AND NEUTROSOPHIC SETS FOR A MATHEMATICAL REPRESENTATION OF THE ETHICAL RULES, in F. Smarandache & M. Al-Tahan (Eds), NeutroGeometry, NeutroAlgebra, and SuperHyperAlgebra, Chapter 5, pp. 97-115, IGI Global, Hersey, PA., USA 2023 (with J. Feuerstein and E. Athanassopoulos).
  • THE ROLE OF INDUCTION FOR HUMAN REASONING AND SCIENCE, American Journal of Educational Research, 11(5), 321-326, 2023 ((with J. Feuerstein and E. Athanassopoulos)
  • MICHAEL GR. VOSKOGLOU – LIST OF PUBLICATIONS, Available at https://novapublishers.com/michael-gr-voskoglou-list-of-publications, 2023
  • APPLICATION OF NEUTROSOPHIC SETS TO ASSESSMENT OF STUDENT LEARNING SKILLS, in S. Broumi (Ed.), handbook of Research on the Applications of Neutrosophic Sets Theory and their Extensions in Education, Chapter 5, 89-110, IGI Global, Hersey, PA., USA., 2023.

Announcements to International Conferences (40)

  • SIMPLE ORE EXTENSIONS, 7th Congress of Balkan Mathematicians, Athens, Greece,December 19-23, 1983
  • ON IDEALS OF SKEW POLYNOMIAL RINGS, International Symposium on Algebra and Number Theory, Abstracts pp. 28-30, Silivri – Istanbul, Turkey, August 30 – September 1, 1989
  • HEURISTICS IN PROBLEM SOLVING, 3rd Bulgarian-Greek Conference on Mathematics Education, Bankya – Sofia, January 13-17, 1993
  • DIFFERENTIAL SIMPLICITY IN COMMUTATIVE RINGS, 1st Panhellenic Conference on Algebra with International Participation, Abstracts pp.1-2, Technical University of Athens, Greece, September 27-28, 1996.
  • USE OF MARKOV CHAINS TO DESCRIBE THE PROBLEM SOLVING PROCESS, Bulgarian Academy of Sciences, Institute of Mathematics and Informatics, April 15, 1997.
  • SKEW POLYNOMIAL RINGS, Department of Mathematics, Ege University, Bornova - Izmir, Turkey, October 1-7, 1997
  • ANALOGICAL PROBLEM SOLVING, 3rd Mediterranean Conference on Mathematics Education, Athens, Greece, January 3-5, 2003
  • THE MATHEMATICAL EDUCATION NOWADAYS, CASTME International Conference, Abstracts p. 29, Nicosia, Cyprus, April 15-18, 2004.
  • MODELLING THE PROCESS OF MATHEMATICAL MODELLING: A STOCHASTIC APPROACH, International Conference on the Teaching of Mathematical Modelling and Applications (ICTMA12), Abstracts p.47, Cass Business School, City University, London, UK, 10-14 July 10-14, 2005.
  • MATHEMATICS AS A TEACHING SUBJECT FOR THE DESIGN SCIENCES, MASEE International Conference on Mathematics (MICOM 2006), Abstracts pp. 138- 139, Paphos, Cyprus, May 31 – June 4, 2006.
  • APPLICATIONS OF FINITE MARKOV CHAINS TO MANAGEMENT AND ECONOMICS, MASEE International Conference on Mathematics (MICOM 2006), Abstracts, pp. 140-141, Paphos, Cyprus, May 31- June 4, 2006.
  • PROBLEM SOLVING AND LEARNING MATHEMATICS, 5th Mediterranean Conference on Mathematics Education, Rhodes, Greece, April 13-15, 2007.
  • A FUZZY MODEL FOR THE LEARNING PROCESS, International Conference on the Teaching of Mathematical Modelling and Applications (ICTMA13), Abstracts 13-14, Kathmandu University, Dhulikhel, Nepal, June 24-29, 2007.
  • MATHEMATICS IN DESIGN SCIENCES, 5th International Conference on Mathematics & Design, Blumenau, Santa Catarina, Brazil, 01-04 July, 2007.
  • A FUZZY APPROACH OF THE PROCESS OF LEARNING MATHEMATICS, University of Cyprus, September 13-14, 2008
  • CASE-BASED REASONING IN THE OPEN KNOWLEDGE SOCIETY, 1st World Summit on the Knowledge Society (WSKS 08), Athens, Greece, September 24-26, 2008.
  • DERIVATIONS AND DIFFERENTIAL SIMPLICITY OF COMMUTATIVE RINGS, Pre-ICM Convention on Mathematical Sciences (ICMS), Abstracts pp. 45-46, Delhi, India, December 18-20, 2008.
  • RECOGNIZING MODELLING COMPETENCIES IN THE CLASSROOM: A FUZZY APPROACH, International Conference on the Teaching of Mathematical Modelling and Applications (ICTMA14), Faculty of Education, University of Hamburg, Germany, July 27-31, 2009
  • A FUZZY MODEL FOR THE CBR PROCESS, 6th International Conference FSKD, Tianjin, China, August 14-16, 2009
  • THE PROCESS OF LEARNING MATHEMATICS, 10th International Conference on Mathematics Education in the 21st Century, Dresden, Germany, September 11-17, 2009.
  • COMBINING CASE-BASED WITH PROBABILISTIC REASONING FOR THE SOLUTION OF REAL WORLD PROBLEMS, 2nd World Summit on the Knowledge Society (WSKS 09), Crete, Greece, September 18-20, 2009.
  • APPLICATIONS OF MARKOV CHAINS TO MANAGEMENT, Faculty of Management, University of Warsaw, Poland, November 1-7, 2009
  • STOCHASTIC AND FUZZY MODELS IN MATHEMATICS EDUCATION, International Conference on the Teaching of Mathematical Modelling and Applications (ICTMA15), Book of Abstracts, p.72, Australian Catholic University, Melbourne, July 14-19, 2011.
  • A GENERAL FUZZY FRAMEWORK FOR REPRESENTING A SYSTEM AND MEASURING ITS PERFORMANCE, Plenary Lecture, 16th WSEAS International Conference on Systems, Kos Island, Greece, July 14-16, 2012. Abstract: Proceedings, p.29, available on line at http://www.wseas.us/conferences/2012/kos/ics/Plenary7.htm
  • MATHEMATICAL MODELS FOR ANALOGICAL REASONING, Plenary Lecture, 2nd WSEAS International Conference on Applied and Computational Mathematics, Vouliagmeni – Athens, Greece, May 14-16, 2013, available on line at http://www.wseas.org/wseas/cms.action?id=3620
  • STOCHASTIC AND FUZZY MODELS IN BUSINESS APPLICATIONS, Plenary Lecture, 5th WSEAS International Conference on Applied Economics, Chania - Crete, Greece, August 27-29, 2013, available on line at http://www.wseas.org/wseas/cms.action?id=5634
  • CYBER FUZZY ASSESSMENT METHODS, Keynote Speech, 7th International Conference on Intelligent Computing and Information Systems (ICICIS 2015), Conference Program and Abstracts, 37-38, Cairo, Egypt, Dec. 12-14, 2015, available at: http://net2shams.edu.eg/icicis/2015/index.php/keynote-speakers/prof-michael-gr -voskoglou
  • MARKOV CHAIN MODELS IN MANAGEMENT APPLICATIONS, Keynote Speech, Int. Conf. on Knowledge Engineering and Big Data Analytics, Future Univ., Cairo, Egypt, Dec. 15-16, 2015
  • APPLICATIONS OF FUZZY LOGIC TO LEARNING CONTEXTS, Plenary Speech, Int. Conference on Neural Networks and Fuzzy Systems, INASE, Athens, Greece, April 2017, retrieved from inase.org/conferences/2017/Athens/nn-fs.htm.
  • USE OF FUZZY NUMBERS FOR ASSESSING HUMAN SKILLS, Plenary Speech, Int. Conference on Pure Mathematics, Applied Mathematics and Computational Methods, INASE, Heraklion, Crete, Greece, July 2017, available at: inase.org/conferences/2017/Crete/pmamcm.htm.
  • TEACHING THE GRAPHICAL REPRESENTATION OF THE DERIVATIVE WITH THE APOS/ACE INSTRUCTIONAL TREATMENT FOR MATHEMATICS, First Congress of Greek Mathematicians (HMS), Abstracts, p. 82, Athens, Greece, June 2018.
  • EVALUATING A SYSTEM’S EFFECTIVENESS WITH APPROXIMATE DATA, Keynote speech, 28th International Conference of Computer Theory and Applications, Academy of Sciences, Technology and Maritime Transport, Alexandria, Egypt, 30-10-2018, available at: https://iccta.aast.edu/Keynotespeakers.php
  • PROBABILITY, FUZZY SETS, GENERALIZATIONS AND RELATIVE THEORIES, Plenary Lecture, 21st Conference on Mathematical and Computational Methods in Science and Engineering, WSEAS, Venice, March 2019, available at: www.wseas.org/wseas/cms.action?id=19926
  • FROM ZADEH’S FUZZINESS TO SMARANDACHE’S NEUTROSOPHY: A REVIEW, Plenary Lecture, 7th Conference on Mathematics and Computers in Sciences and Industry (MCSI 2022), Marathon Beach, Athens Greece, August 2022, http://mcsi-conf.org/plenary-speakers.php
  • ADVANCES AND APPLICATIONS OF SOFT COMPUTING, International Conference on Social and Natural Sciences (ICSNS’ 23), Special Session, Madrid, Spain, 2023, canwestconference.org/icsns23/ icsnns23_keyspeakers
  • AN INTRODUCTION TO SOFT COMPUTING, ITAF 2023, Cairo, Egypt, itaf.info, 2023
  • ARTIFICIAL INTELLIGENCE IN EDUCATION IN THE ERA OF THE FOURTH INDUSTRIAL REVOLUTION, Scientific Research and Innovative Studies Conference, Antalya, Turkey, https://www.izdas.org/antalyakongresi, 2023.
  • APPLICATIOJN OF SOFT SETS AND NEUTROSOPHIC SETS FOR INTRODUCING A MULTI-VALUED LOGIC IN ETHICS, The 1st Online Conference on Mathematics and Applications (MDPI), https://sciforum.net/paper/view/14395, 2023.
  • ADVANCES OF SOFT COMPUTING, Webinar, Mathematics, https://www.mdpi.com/journal/mathematics/events/16290
  • ADVANCES AND APPLICATIONS OF SOFT COMPUTING, International Conference on Applied Mathematics & Computer Science (ICAMCS), Special Session, Lefkada Island, Greece, 2023, www.icamcs.co/specialsessions.html

Reviews of the American Mathematical Society (49)

  • MR2379099 (2008m: 13050), Richard, L. & Silvestrov, S., Quasi-Lie structure of derivations of C[], Journal of Algebra, 319 (2008).
  • MR2387539 (2009a: 16051): Nasr-Isafani, A. R. & Moussavi, A., Oreextensions of skew Armendariz rings, Communications in Algebra 36 (2008), 508-522.
  • MR2399663 (2009c: 13063), Nowicki, A., An example of a simple derivation in two variables, Colloquium Mathematicum, 113(2008), 25-31.
  • MR2406603 (2009b: 13068), Jedrzejewicz, P., Eigenvector p – bases of rings of constants of derivations, Communications in Algebra, 36(2008), 1500-1508.
  • MR2425088 (2009f: 13037), Jedrzejewicz, P., Linear derivations with rings of constants generated by linear forms, Colloquium Mathematicum, 113(2008), 279-286.
  • MR2441131 (2009h: 16037), Nasr-Isafani, A. R. & Moussavi, A., Baer and quasi-Baer differential polynomial rings, Communications in Algebra 36 (2008), 3533-3542.
  • MR2478226 (2009m: 16050), Ikehata, S., A note on separable polynomials of degree 3 in skew polynomial rings, International Journal of Pure and Applied Mathematics, 50(2009), 145-149.
  • MR2514541 (2010g: 16048), Zhang, C. & Chen, J., Weak M-Armendariz Rings, Journal of Southeast University (English Edition), 25(2009), 142-146
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Publications in Greek Language

115 papers in Greek scientific journals and in Proceedings of PanHellenic Conferences, 5 technical reports for Programs of Applied Research conducted in the Graduate T.E.I. of Western Greece and 14 Lecture Notes on several mathematical topics.

Citations

3. Conclusion

Prof. M. Voskoglou has contributed significantly to Mathematics in the areas of Fuzzy Sets and Logic, Algebra, Markov Chains, Artificial Intelligence and Mathematics Education. His research work has been recognized and used by many researchers around the world.

Further Reading
In this part, we encourage you to list the link of papers wrote by the character, or published reviews/articles about his/her academic contributions. Edit
Name: Michael Voskoglou
Born: May 1949
Birth
Location:
Mytilene, Greece
Title: Scientist
Affiliation: University of Peloponnese, Patras, Greece
Honor: Who is Who in the World
Information
Subjects: Others
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