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Dr. Jishu Jana, M.Sc., Ph.D.

Assistant Professor
jishu.jana@bvrit.ac.in

JNTU Faculty ID:  3290-240122-162001

Educational Background:

Ph.D.: Vidyasagar University, 2021.

M.Sc.: Vidyasagar University, 2014.

B.Sc.: Midnapore College, 2012.

Research Network:

H-Index: 06

I-10 Index: 06

ORCID LINK:

https://orcid.org/0000-0002-3250-0259

Google Scholar profile link:

https://scholar.google.com/citations?hl=en&user=v67YMysAAAAJ&view_op=list_works&sortby=pubdate 

Scopus Author ID:   57203860624         

Web of Science Researcher ID

AAC-1660-2022 

VIDWAN: 482291    

Research Interest:

My research contributes to algorithmic and methodological advances in Game Theory, Decision Making and Optimization while addressing the real-life problems. The major part of my doctoral dissertation work is focused on two-person zero-sum game under uncertain environments and tried to establish a connection between game theory and decision-making problem. Also, various types of real-life problems such as market share problem, fast food industry problem, linear production planning problem, investment company etc. are considered and solved with the MADM/MCDM methods. My work on decision making has aimed to provide some good results in the perspective of practical problems. Now I would like to take a broader perspective and study other aspects of the interplay between game theory, decision making and machine learning.

Research Interest:

My research contributes to algorithmic and methodological advances in Game Theory, Decision Making and Optimization while addressing the real-life problems. The major part of my doctoral dissertation work is focused on two-person zero-sum game under uncertain environments and tried to establish a connection between game theory and decision-making problem. Also, various types of real-life problems such as market share problem, fast food industry problem, linear production planning problem, investment company etc. are considered and solved with the MADM/MCDM methods. My work on decision making has aimed to provide some good results in the perspective of practical problems. Now I would like to take a broader perspective and study other aspects of the interplay between game theory, decision making and machine learning.

Professional Experience:

Assistant Professor –BVRIT, Narsapur

(2024- Till now)

Assistant Professor: IARE College, Hyderabad (2023-2024)

 

  1. Jishu Jana and Sankar kumar Roy (2018), Solution of Matrix Games with Generalised Trapezoidal Fuzzy Payoffs, Fuzzy Information and Engineering, Taylor & Francis Group, Scopus, 10 (2), 213-224.
  2. Jishu Jana and Sankar kumar Roy (2019), Dual Hesitant Fuzzy Matrix Games: Based on New Similarity Measure, Soft Computing, Springer, SCIE, IF-3.085, 23 (18), 8873-8886.
  3. Jishu Jana and Sankar kumar Roy (2020), Soft Matrix Game: A Hesitant Fuzzy MCDM Approach, American Journal of Mathematical and Management Sciences, Taylor & Francis Group, Scopus, 40 (2), 107-119.
  4. Sankar Kumar Roy and Jishu Jana (2021) The multi-objective linear production planning game in triangular hesitant fuzzy set, Sadhana, Springer, SCIE, IF-1.813, 46 (3), 1-14.
  5. Jishu Jana and Sankar Kumar Roy (2021) Two-person game with hesitant payoff: An application in MADM, RAIRO-Operations Research, EDP Sciences, SCIE, IF- 1.393, 55(5), 3087-3105.
  6. Jishu Jana and Sankar Kumar Roy (2023) Linguistic Pythagorean hesitant fuzzy matrix game and its application in multi-criteria decision making, Applied Intelligence, Springer, SCIE, IF- 5.086, 53, 1-23, 2023.

 

No. of International Conferences presented/Participated

No. of National Conferences/Seminars presented/Participated

No. of Training/FDP programs

2

00

5