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PROFILE

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Department of Mathematics, Statistics and Computer Science


Dr. Sanjay Kumar


DESIGNATION: Professor
QUALIFICATION:M.Sc., Ph.D. (Maths)
SPECIALISATION:Fuzzy set theory and its extensions
EMAIL:skruhela[at]hotmail[dot]com
sanjay[dot]kumar[at]gbpuat-cbsh[dot]ac[dot]in
CONTACT NO.:+91-9412404246 (M)

Teaching Experience and Courses Taught

Teaching and Research Experience:   20 years

Courses taught are as follows:

Undergraduate

  1. Elementary Mathematics
  2. Engineering Mathematics I
  3. Engineering Mathematics II
  4. Programming in Fortran & C
  5. Computer Applications

Post graduate

  1. Basic Mathematics (BPM-409)
  2. Use of Computer Software
  3. Object Oriented Programming
  4. Structured Programming Languages
  5. Foundation of Theoretical Computer Science
  6. Differential Geometry & Tensors
  7. Abstract Algebra
  8. Real Analysis
  9. Topology
  10. Integral Transforms & Z Transforms
Academic Background and Qualifications:

Exam. Passed Board/University Subject Year Division/Grade Merit etc.
B. Sc. Kumaun University, Nainital, India Physics, Chemistry, Mathematics 1992 First
M. Sc. G. B. Pant University of Ag. & Technology, Pantnagar, Uttarakhand, India Mathematics 1995 First
Ph.D. G. B. Pant University of Ag. & Technology, Pantnagar, Uttarakhand, India Major: Mathematics
Minor: Electronics & Communication Engineering		 1998
Research Areas/ Areas of Interest

  • Fuzzy time series forecasting, Multi criteria decision making
    • Selected Research Publications

    1. Kumar, S., Joshi, Deepa 2017, “Fuzzy Ideal Based Computational Approach for Group Decision Making Problems”, Fuzzy Information & Engineering, 9(2): 1–13

    2. Joshi, D. K., & Kumar, S. (2017, October). Computational approach for hesitant fuzzy group decision making problems. In Electrical, Computer and Electronics (UPCON), 2017 4th IEEE Uttar Pradesh Section International Conference on (pp. 54-61). IEEE.

    3. Bisht K., Kumar, S. 2016, “Fuzzy Time Series Forecasting Method Based on Hesitant Fuzzy Sets”, Expert Systems with Applications.64,557-568

    4. Joshi, D., and Kumar, S. 2016. “Interval-Valued Intuitionistic Hesitant Fuzzy Choquet Intehral Based TOPSIS Method for Multi-Criteria Group Decision Making”, European Journal of Operational Research. Vol. 248 (1), 183-191.

    5. Gangwar, S.S., and Kumar, S. 2016. “Intuitionistic Fuzzy Time Series: An Approach for Handling Nondeterminism in Time Series Forecasting” IEEE Transactions on Fuzzy Systems, Vol. 24 (6), 1270-1281.

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    Books/ Book Chapters

    Chapters in Edited Books

  • B. P. Joshi, Sanjay Kumar, 2015, “Intuitionistic Fuzzy Sets based Method for Multi-criteria Decision-making, Handbook of Research on Designing and Implementing Global Supply Chain Management, InderScience, IGI Global.

  • Sanjay Kumar, Kamlesh Bisht, Krishna Kumar Gupta, 2018, “Intuitionistic Fuzzy Time Series Forecasting Based on Dual Hesitant Fuzzy Set for Stock Market.: DHFS based IFTS model for stock market” IGI Global.
    • Trainings/Conferences

    Visited Thailand and China in 2016 to attend following conferences:

    • I. 8th International conference on Advanced Computational Intelligence at Chiang Mai University, Chiang Mai, Thailand from February 14-16, 2016. (Funded by UGC)
    • II. 2nd International Conference on Fuzzy Systems and Data Mining at Macau University of Science & Technology, Macau, China from December 11-14, 2016. (Funded by DST)
    Links

    Google Scholar Link:   Click Here

    Research Gate account Link:   Click Here

    ORCID Id:   Click Here