Projects
Course Development in Edge Computing and Analytics 2.0
Funding Agency: The British Council
Total Funding: £30,000
PI: Dr Anish Jindal
Partners: Cardiff University, UK; Galala University, Egypt; TKH, Egypt
Description:This project aims to develop course on edge computing and analytics 2.0 between UK and Egyptian universities and develop collaboration in order to build edge applications on smart cities, smart grids, water and energy management to achieve SDG goals.
Traffic Management In Smart Cities Using IoT For Reducing Carbon Emissions
Funding Agency: The Royal Society, Scheme: International Exchanges
Total Funding: £12,000
PI: Dr Anish Jindal, Co-I: Dr Gagangeet Singh Aujla
Partner: Dr. Luca Foschini, University of Bologna, Italy
Description: This project aims to provide an IoT-based transportation system which will contribute to the good health and well-being of citizens as well as provide better overall traffic flow in densely populated cities which helps the environment by reducing the harmful carbon emissions.
Carbon-Intelligent Computing for handling Uncertainties in Data Centers
Funding Agency: Durham SeedCorn Award
Total Funding: £11,552
PI: Dr Gagangeet Singh Aujla, Co-I: Dr Anish Jindal, Co-I: Prof. Hongjian Sun
Partners: Prof. Omer Rana, Cardiff University, UK and Dr. Angelos Marnerides, University of Glasgow, UK
Description: A typical Data Center (DC) consumes 41.11 TWh energy equivalent to ~12.13% of total energy generated in the UK (UKERC, 2020). During COVID-19, individuals and organisations are shifting towards the use of digital platforms which introduced more data traffic in the DCs, and hence, further increasing their corresponding energy consumption. The project aims to design a carbon-intelligent computing framework to reduce the energy-based carbon footprints and realise the goal of carbon neutral DCs. As carbon-neutral energy carries various uncertainties such as intermittency, therefore, the proposed research would determine and control these uncertainties, and optimise the energy consumption of DCs using Artificial Intelligence (AI) to operate on 100% carbon-neutral energy.
Programmable, secure and resilient IoT communication networks for smart grid
Funding Agency: The Royal Society, Scheme: International Exchanges
Total Funding: £12,000
PI: Dr Anish Jindal
Partner: Dr. Nurul Sarkar, Auckland University of Technology, New Zealand.
Description: This project aims to provide an Programmable, secure and resilient IoT communication networks for smart grid.
Resilient Self and Dynamic Data Stream Spanning Structures
Funding Agency: The Royal Society, Scheme: International Exchanges
Total Funding: £12,000
PI: Dr Amitabh Trehan
Partner: Dr. Michael Elkin, Ben-Gurion University of the Negev, Israel.
Description: This project aims to provide an Resilient Self and Dynamic Data Stream Spanning Structures.