Animesh Kumar Sharma
Assistant Professor, Department of Mathematics · The ICFAI University Raipur
Research Interests
Inventory Model, Inventory Management, Inventory Control Models, Fuzzy Graph Theory, Fuzzy Set theory
Biography
Dr. Animesh Kumar Sharma is an Asistant Professor in the Department of Mathematics, The ICFAI University, Raipur, Chhattisgarh, India. He has been entitled FMERU (Fellow Membership) by Eudoxia Research University USA. In July 2005, he obtained his Master’s Degree in Mathematics from Pt. Ravishankar Shukla University, Raipur, CG, India. He obtained his Ph.D. Degree in Mathematics from SunRise University, Rajasthan, India in 2016. He has completed his Master’s Degree in Information Technology from Dr. C.V. Raman University, Bilaspur, CG in 2013. He is having more than 15 years of teaching experience of mathematics at UG and PG level. He has been published 22 research articles in renowned national and international journals. His main research field is in Inventory Models, Optimization techniques, fuzzy graph theory and its applications.
Education
Ph. D. in Mathematics M.Phil. in mathematics M.Sc in mathematics MBA in Information Sytems Post Graduate Diploma in Computer Application(PGDCA) B.Sc. in Mathematics
Recent Google Scholar Publications
- A Sustainable AI-Based Inventory Optimization Framework with Carbon Cost Minimization Using Hybrid LSTM–GA–DQN
- Optimization of Inventory Costs under Exponential Deterioration,Shortage, Inflation and Power Dependent Demand using AI-Based Techniques
- Smart Educational Assessment System Using Machine Learning to Analyze Self-Directed Learning Behaviours in EFL Learners
- A Mathematical Inventory Optimization Framework with AI-Based Demand Forecasting for Perishable Agricultural Products
- Advanced Statistical Models for Predictive Analysis in Health Data Using Machine Learning
Links
- ORCID https://orcid.org/0000-0002-7814-7462
- Google Scholar https://scholar.google.com/citations?user=7NLS-XwAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None