Kuldeep Chaudhary
Amity University, University of Delhi, Indian Institute of Technology Roorkee
About
He is currently the Associate Professor in the Department of Applied Mathematics, Amity Institute of Applied Sciences, Amity University. He obtained his Ph. D. in Operational Research from University of Delhi and M.Sc. from Indian Institute of Technology(IIT), Roorkee respectively. He has published more than 30 research papers in the areas of software reliability, Marketing and Optimization. He has guided Ph.D./M.Sc. Dissertations in Applied mathematics. His research interests include mathematical modelling, optimal control theoretic modelling and optimization in marketing, Inventory-production and software reliability.
Employment
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Amity University Associate Professor2013 - Present
Education
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University of Delhi PH.D.2006 - 2012
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Indian Institute of Technology Roorkee M.Sc. Applied Mathematics2003 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (49)
- A generalized Vidale–Wolfe model on existing and new customers advertising strategy in a segmented market Save
- Modeling Innovation Diffusion Under Multiplicative Noise Using Stochastic Differential Equations Save
- Integrating adoption efficiency and repeat purchase in innovation diffusion modeling Save
- Dynamic Analysis and Optimal Control of a Multi-stage Innovation Diffusion Model Incorporating Time Delay in Awareness and Adoption Process Save
- A Multi-Criteria Decision-Making Framework for Blockchain Technology Adoption in Smart Healthcare Save
- Diffusion modeling with evolving adoption rates and repeat purchase influence Save
- Innovation Diffusion through the Lens of Market Coverage Save
- Optimal Testing Effort Allocation for a Software Reliability Growth Model in Fuzzy Environment via Optimal Control Theoretic Approach Save
- Economic evaluation of two-Strain covid-19 compartmental epidemic model with pharmaceutical and non-pharmaceutical interventions and spatio-temporal patterns Save
- Modeling Software Release Time and Software Patch Release Time Based on Testing Effort and Warranty Save