Dr. Anjali Munde

Dr. Anjali Munde

Dr. Anjali Munde holds a Bachelor's degree in Mathematics Honours and a Master's degree in Mathematics from Hans Raj College, University of Delhi, India, which she earned in 2004 and 2006, respectively. She was awarded the prestigious Gold Medal from the same university. In 2016, she obtained her Ph.D. in Mathematics. Before her current assignment, she taught at renowned institutes such as the School of Inspired Leadership, Gurugram, Amity University, Noida, and IIMT, G.G.S.I.P University, Delhi. 

Dr. Munde has published several research papers in well-known journals indexed in ABDC B Category, Scopus (Elsevier), IEEE, Web of Science, and Springer. She has also presented technical papers at various national and international conferences and published book chapters indexed in Science Direct and Web of Science. 

With over 17 years of teaching experience, Dr. Munde's research interests include Fuzzy Information Measures, Decision Making, Coding Theory, and Business Analytics. She is a reviewer/editorial board member of several national/international journals, including the International Journal of General Systems (TAYLOR AND FRANCIS), International Journal of Information Systems in the Service Sector (SCOPUS), Journal of Mathematics and Statistics (SCOPUS ELSEVIER), and International Journal of Mathematics and Mathematical Sciences (SCOPUS). She is a Life Member of the International Association of Engineers (IAENG), India, and has served as an Editorial Board Member for courses at the senior secondary level from NIOS (National Institute of Open Schooling, under the Ministry of HRD, Government of India). 

Dr. Munde has conducted numerous FDP/workshops in Data Analytics, Machine Learning, and Python, organized by ICMAI Registered Valuers Organisation (Recognised RVO under Insolvency & Bankruptcy Board of India) promoted by The Institute of Cost Accountants of India (Statutory Body under an Act of Parliament), G.G.S.I.P University, Delhi, G H Raisoni University, Sri Krishna College of Technology, Coimbatore. She has also served as a session chair, technical program committee member, and reviewer in various international conferences organized by the National Institute of Technology, Indian Institute of Information Technology, Christ University, and others. 

Dr. Munde's key teaching areas include Quantitative Techniques, Operations Research, Business Mathematics, and Business Analytics, using MS Excel, Python, and Tableau software.

  • Information Theory
  • Fuzzy sets
  • Fuzzy Information Measures
  • Decision Making, Coding Theory
  • Software Reliability
  • Bug Prediction
  • Data Analytics
  • Machine Learning

(International Refereed Journals)
1.    “Corporate Performance: SMEs Performance Prediction Using The Decision Tree And Random Forest Models”, Corporate Ownership & Control / Volume 20, Issue 1, Autumn 2022. (ABDC – B Category) 
2.    “Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making”, Lecture Notes on Data Engineering and Communications Technologies, 2021. (SPRINGER (SCOPUS Indexed)) 
3.    “A Machine Learning based Analytical Approach for Envisaging Bugs”, International Journal of Advanced Computer Science and Applications, 2021. (Web of Science, Scopus Indexed).
4.    “A Theoretical Approach of Information Measure for Pythagorean Fuzzy Sets”, Systems and Technologies, 2021. (Springer, Scopus Indexed)
5.    “An Exploration of Entropy techniques for Envisioning Announcement Period of Open Source Software”, Advances in Intelligent Systems and Computing,2020. (SPRINGER (SCOPUS Indexed)) 
6.    “Envisaging Bugs by means of Entropy Measures”, Smart Innovation, Systems and Technologies, 2190-3018, 2020. (Springer, Scopus Indexed)
7.    “Applications of Intutionistic Fuzzy Divergence to Multi – Attribute Decision Making”, American Institute of Physics (AIP) Conference Proceedings 2061 (1), 020002, 2019.(Scopus Indexed, Web of Science.)
8.    “On Generalized Intutionistic Fuzzy Divergence”, International Journal of Applied Systemic Studies, Vol 8 , No. 3, pp. 246 – 254, 2018. (Scopus Elsevier) Inderscience Publication.
9.    “Decision-Making Proposition of Fuzzy Information Measure with Collective Restrictions”, Harmony Search and Nature Inspired Optimization Algorithms, Advances in Intelligent Systems and Computing, 741, https://doi.org/10.1007/978-981-13-0761-4_31, 2018. (Springer, Scopus Indexed)
10.    “Fuzzy Information Measures in Decisiveness”, International Journal Of Mathematics And Computers In Simulation, Vol 11, pp. 164 -168, 2017. (Engineering Village, Elsevier)
11.    “On some generalized information measure of fuzzy directed divergence and decision making”, International Journal of Computing Science and Mathematics, Vol 7, No. 3, pp.263 – 273, 2016, InderScience publication, Switzerland. (Scopus Elsevier Indexed). 
12.    “Comparative Study of Generalized Quantitative –Qualitative Inaccuracy Fuzzy Measures for Noiseless Coding Theorem and 1:1 Codes”, International Journal of Mathematics and Mathematical Sciences, DOI:10.1155/2015/258675, 2015,USA. (Scopus Indexed). 
13.    “Generalization of Fuzzy Noiseless Source Coding with Utilities”, IEEE Xplorer, pp-278-283, 2015.(Scopus Indexed) 
14.    “Application of  Decision Making Using Generalized Measure Of Fuzzy Directed Divergence”, Applied Mathematical Sciences, Vol 9, pp-3931-3940, 2015, Bulgaria. (Scopus Indexed). 
15.    “On some new Divergence Measures between Fuzzy Sets” Proceedings of the International Conference on Reliability Infocom Technologies and Optimization, pp. 178-184, 2013. 
16.    “Monotonic Behaviour of some new generalized fuzzy information measure & its essential properties”, International Journal of Mathematical Archieve - 4(4), pp.145-155, 2013.

Digital Analytics, MANG6534, M.Sc. Digital marketing.

  • Gold Medal, M.Sc.(Mathematics - First Year) from Hans Raj College, Delhi University.
  • Gold Medal, M.Sc.(Mathematics - Second Year) from Hans Raj College, Delhi University.
  • M.Sc.(Mathematics) - Ranking Third in Delhi University

Dr. Anjali Munde

Assistant Professor of Business Analytics
Southampton Malaysia Business School
University of Southampton Malaysia. 
C0302, Blok C Eko Galleria,
Jalan Eko Botani 3,
Taman Eko Botani, 79200
Iskandar Puteri, Johor
Malaysia
Email: a.munde@soton.ac.uk