Dr Amit Sharma

From

Institute of Computer Technology, Southern Federal University - RU

In residence at

PRISME Laboratory / University of Orléans, INSA CVL - FR

Host scientist

Dr Frédéric Ros 

PROJECT

Integration of heterogeneous data and algorythms, and development of intelligent interfaces for digital twins

The JUNON ARD CVL programme aims to build digital twins and to design digital services to improve the monitoring and understanding of the environment for a better management of natural resources (soil, water, atmosphere). The ambition is to place environmental and digital research at the heart of the regional innovation strategy and to bring useful data and services to multiple socio-economic partners.

The project aims to integrate heteregenous data in the planned architecture and algorythms in the prototypes developed for the various digital twins focusing on software design pertaining to architecture, user interface (HMI), and communication protocols. The development of the machine learning protocol stands at the heart of creation of the digital twins. The project plans the creation of intelligent interfaces enabling non-expert users to manipulate or use the various digital twins in a very user-friendly way.

The overall objective is that the digital twins can efficiently interact with the central components of the system, abstracting the implementation details while ensuring smooth communication and cooperation among different parts of the architecture.