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Personal profile

Research interests

My research interests are mainly in the inter-disciplinary applications of mathematical/statistical techniques to the real-world problems, specifically in the areas of climate change, built environment, energy, extreme events and flood-risk. I developed my research track record by leading and contributing several multi-disciplinary research involving the novel application of Mathematical/Statistical modelling techniques such as: Hidden-Markov Modelling, Stochastic Processes, Time series modelling, Uncertainty and Data Analysis, Complex Networks, Non-Linear Dynamical System, Bifurcation Analysis, and Chaos.

I developed this track record through my association (either as Lead/CI/post-doc researcher) with several high-profile multidisciplinary research projects (e.g. EP/F038240/1, EP/I03534X/1, EP/K013513/1, EP/L000180/1, EP/N030419/1).

In addition to this, I have extensive experience in big data analytics and have excellent scientific programming skills (e.g. Python, R, Matlab, C, C++, FORTRAN, etc). My work has been documented in over 40 peer-reviewed inter-disciplinary research publications. Two of my outputs have won best paper awards and I also won the ‘Sir David Wallace Prize’ for best presentation at Loughborough University

External positions

Shri RGP Gujarati Professional Institute, RGPV Bhopal, DAVV Indore

1 Aug 200131 Mar 2004

Fingerprint Dive into the research topics where Sandhya Patidar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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climate Earth & Environmental Sciences
modeling Earth & Environmental Sciences
climate change Earth & Environmental Sciences
streamflow Earth & Environmental Sciences
extreme event Earth & Environmental Sciences
simulation Earth & Environmental Sciences
Climate change Engineering & Materials Science
Carbon Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

Open Access
File
climate change
river
modeling
ecosystem
low flow

A multi-sectoral approach to modelling community energy demand of the built environment

McCallum, P., Jenkins, D. P., Peacock, A. D., Patidar, S., Andoni, M., Flynn, D. & Robu, V., 28 Jun 2019, In : Energy Policy. 132, p. 865-875 11 p.

Research output: Contribution to journalArticle

Open Access
File
Space heating
modeling
heating
energy
policy implementation
Learning systems
Bayesian networks
Neural networks
Stream flow
Model structures

The Impact of Climate Change on Hydroecological Response in Chalk Streams

Visser, A., Beevers, L. & Patidar, S., 22 Mar 2019, In : Water. 11, 3, 596.

Research output: Contribution to journalArticle

Open Access
File
chalk
climate change
river
ecosystem
freshwater ecosystem
Open Access
File
modeling
comparison
source parameters
ecosystem
river