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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 |