Dr Sandhya Patidar

My research sits at the intersection of data science, applied mathematics, and engineering, with a focus on developing advanced analytical and AI-driven solutions for challenges in energy systems, water resources, climate resilience, extreme events, flood risk, and environmental impact assessment. I work across the full spectrum of mathematical and computational methodologies, including Hidden Markov Models, stochastic processes, time-series analysis, uncertainty quantification, complex networks, non-linear dynamical systems, bifurcation and chaos theory, and machine/deep learning.

I have extensive experience leading and contributing to multidisciplinary national and international projects. My portfolio includes roles as Principal Investigator, Co-Investigator, and postdoctoral researcher on major UKRI/EPSRC grants (EP/F038240/1, EP/I03534X/1, EP/K013513/1, EP/L000180/1, EP/N030419/1), as well as Horizon Europe projects, including FEDECOM (101075660) and InterPED (101138047). These projects span energy flexibility, digital twins, climate–water interactions, and AI-enabled modelling.

I specialise in big data analytics and scientific computing (Python, R, MATLAB, C, C++, FORTRAN), enabling high-performance modelling, scalable data workflows, and robust AI/ML pipelines. My interdisciplinary research has produced over 95 peer-reviewed publications, reflecting a sustained record of collaboration across engineering, environmental sciences, and computational modelling.

My work has been recognised internationally through awards such as the World Renewable Energy Congress Best Paper Award, the Sir David Wallace Prize (Loughborough University), the CESI Conference Award (Newcastle University), and the ICE Alfred Carr Award.

I am actively seeking collaborations aligned with Horizon Europe calls, especially in areas involving AI for industry, digital twins for energy and infrastructure, resilience modelling, and advanced data-driven decision-support systems.